Requirements Engineer jobs at M&T Bank

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Engineering position at Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. We are seeking a skilled Platform Engineer with expertise in Elasticsearch and Solr/Lucidworks Fusion to design, deploy, optimize, and maintain our enterprise search and data analytics platforms. The ideal candidate will have a strong background in search engine architectures, data ingestion, and content management systems, ensuring our search solutions are scalable, reliable, and performant to support business-critical applications. What you'll do in the role: Lucidworks Fusion Administration & Customization * Deploy and administer Lucidworks Fusion instances across various environments. * Develop, configure, and maintain search pipelines, connectors, and indexing jobs. * Create custom search interfaces, connectors, and components to meet enterprise requirements. * Optimize Fusion search performance through tuning and caching strategies. * Manage user access, permissions, and authentication integrations. * Implement security best practices, privacy policies, and compliance standards. Elasticsearch Administration & Optimization * Deploy, configure, and maintain Elasticsearch clusters, ensuring high availability, scalability, and performance. * Develop and enforce best practices for data indexing, sharding, replication, and data lifecycle management. * Monitor cluster health, perform capacity planning, and optimize search and query performance. * Manage Elasticsearch security features, including role-based access control (RBAC), encryption, and audit logging. * Troubleshoot and resolve cluster issues, including node failures, data corruption, or network partitions. Data Ingestion & Integration * Collaborate with Data Engineering and Application teams to support data flow and indexing processes. * Ensure data consistency, accuracy, and timeliness in search indexes. Qualifications & Experience * 5+ years of experience working with Elasticsearch and Lucidworks Fusion. * Hands-on experience with deploying, scaling, and tuning Elasticsearch clusters. * Proven experience with Fusion platform administration, customization, and development. * Strong understanding of search engine architecture, information retrieval, and relevance tuning. * Proficiency with scripting languages such as Bash, Python, or similar. * Familiarity with containerization and orchestration tools (Docker, Kubernetes) is highly desirable. We have a track record of innovation and passion for unlocking new opportunities, we help our clients raise, manage and allocate capital. We do this by offering a wide range of investment banking, securities, wealth management and asset management services. All that we do at Morgan Stanley is driven by our five core values: do the right thing, put clients first, lead with exceptional ideas, commit to diversity and inclusion, and give back. These aren't just beliefs, they guide the decisions we make every day, ensuring we do what's best for our clients, communities and more than 80,000 employees around the world. And at the core of our success are the people who drive it - relentless collaborators and creative thinkers who are fueled by diverse thinking and experiences. Wherever you are in our 1,200 global offices, you'll have the opportunity to work alongside the best and the brightest in an environment where you are empowered to achieve your full potential. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet). WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste ***************************************************** into your browser. Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

The Platform Engineer 3s primary duties involves design work, specifically designing strategic and tailored solutions in order to meet a specific client request. This position frequently anticipates problems, analyzes ways to mitigate the risk, and provide advanced production support including accurate problem identification, ticket documentation and customer/vendor dialogue. Duties and Responsibilities: Provides level 3 & 4 server production support including problem identification, ticket documentation and closure. Articulates the business value and impact of advanced technical and non-technical information and understands when to escalate issues. Perform daily platform related administrative tasks as needed along with specifically designing strategic and tailored solutions in order to meet a specific client request. Frequently anticipates problems and analyzes ways to mitigate the risk. Dissects complex situations and refocuses on critical technology tasks. Documents small-to medium-scale projects and delivers presentations with minimal supervision. Is often consulted by peers and seen as the informal leader on tactical problems. Maintains current professional and technical skills. Keeps abreast of current and emerging technologies, how they integrate and drive value for Huntington. Performs other duties as assigned. Manage & configure Terraform to ensure pipelines comply with the SLAs. Manage & configure the ingestion pipelines setup for various sources through tool to ensure pipelines comply with the SLAs (our internal Ingestion framework). Partner with Datalake development team to configure non-production environments to assist in their development & testing. Manage Athena datasets & tables. Manage workload configuration (jobs, queries & compute capacity). Monitor resources (quotas, jobs & compute). Optimize workloads for best performance to control costs. Troubleshoot error messages and quotas to save costs. User access management Operational Support for AWS services and EC2, including on-call incident resolution Basic Qualifications: Bachelor's Degree 5+ years of experience in a platform engineering role Preferred Qualifications: Database maintenance experience, proficiency in relational database Python development and scripting experience Proficiency in Data Warehouse and Data Lake concepts Understanding of cloud computing concepts and experience with cloud platforms, especially AWS (including its architecture, optimization, and best practices) High degree of technical expertise/professional mastery to recommend process improvements. Solid organizational skills and think critically, beyond the runbook in function of intermediate level problem resolution Proactive, consistent communication with the management team on systems/projects statuses and issues Excellent grammar/spelling and typing skills, two years of experience on Office 365 products Establish a high level of personal credibility and builds strong professional working relationships with customers Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Engineering position at Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. Department Profile Our Technology team is at the forefront of driving technological innovations, increasing operational efficiency, and delivering high-impact projects. We partner closely with our business units to deliver sustainable technology solutions that enable business goals and create lasting value for Morgan Stanley and our clients. Position Description We are seeking an Experienced Senior Architect to join our team as a Lead Software Engineer, specializing in Kubernetes administration and DevOps CI/CD automation. This role will drive technological innovation, operational efficiency, and high-impact projects while enabling technology to align with business goals and deliver sustainable solutions. What you'll do in the role: • Architect, administer, and optimize Kubernetes clusters for scalability, reliability, and security across multiple environments. • Implement and manage container orchestration solutions, ensuring seamless integration with cloud and on-prem infrastructure. • Monitor, troubleshoot, and resolve issues related to cluster health, deployments, and automation processes. • Develop infrastructure-as-code solutions using tools like Terraform, Helm, and Ansible. • Design, build, and maintain CI/CD pipelines using tools such as TeamCIty, Jenkins, GitHub Actions, or similar. • Collaborate with development teams to automate deployment processes and streamline software delivery. • Drive best practices for DevOps, including automated testing, continuous integration, and continuous delivery. • Maintain and enhance monitoring, logging, and dashboarding for Kubernetes and CI/CD environments. • Apply basic Linux administration and shell scripting for automation and troubleshooting. • Use version control systems (SVN, GIT, BitBucket) for managing configuration and code changes. • Java knowledge with 3-tier application development and framework integration would be a bonus. What you'll bring to the role: • 6-8 years of experience in technology roles, with expertise in Kubernetes administration and DevOps automation. • Proven experience architecting and administering Kubernetes clusters in production environments. • Hands-on experience building and managing CI/CD pipelines with modern DevOps tools. • Strong scripting skills (Bash, Ksh, Perl, Python) for automation and operational efficiency. • Deep OS knowledge, especially Linux (CentOS, RedHat). • Familiarity with infrastructure-as-code concepts and tools (Terraform, Helm, Ansible). • Proficiency with version control systems: SVN, GIT, BitBucket. • Experience with monitoring, logging, and dashboarding tools (Prometheus, Grafana, ELK, etc.). • Java knowledge for solution development and integration (bonus). • Designing and Developing API proxies using Apigee Edge. • Strong understanding of API management life cycle components like creating environments, virtual hosts, api proxies, cache, products and publishing it to the portal. Desired Skills: • Experience with on-prem cloud and public cloud platforms (Azure, GCP, etc.) for Kubernetes deployments. • Advanced Linux administration experience. • Exposure to security best practices in containerized and cloud environments. • Experience with service mesh technologies (Istio, Linkerd). • Apigee platform engineering and DevOps knowledge. • Excellent collaborative skills and ability to work with cross-functional teams. • Strong communication, analytical, and problem-solving abilities. We have a track record of innovation and passion for unlocking new opportunities, we help our clients raise, manage and allocate capital. We do this by offering a wide range of investment banking, securities, wealth management and asset management services. All that we do at Morgan Stanley is driven by our five core values: do the right thing, put clients first, lead with exceptional ideas, commit to diversity and inclusion, and give back. These aren't just beliefs, they guide the decisions we make every day, ensuring we do what's best for our clients, communities and more than 80,000 employees around the world. And at the core of our success are the people who drive it - relentless collaborators and creative thinkers who are fueled by diverse thinking and experiences. Wherever you are in our 1,200 global offices, you'll have the opportunity to work alongside the best and the brightest in an environment where you are empowered to achieve your full potential. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet). WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste ***************************************************** into your browser. Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Engineering position at the Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on. The Machine Learning Research group is looking for a senior ML developer and DevOps/MLOps engineer. An individual who can sit down with fellow developers, ML researchers, and clients to build out and deploy bespoke but maintainable solutions across heterogeneous technologies. What you'll do in the role: Work with ML researchers to develop, productionize, and deploy ML based project for clients. Dig into client systems to help retrofit with the team's creations. Maintain and support production systems. Onboard and develop systems to help us manage and reuse ML models across the Firm with a focus on ML Ops. Hack away at compiling and repackaging tricky libraries used by researchers. Find tooling and platform solutions to real-world problems and bring them into the Firm as quickly as possible with adherence to our security policies. Remain up to date on ML tools, libraries, and techniques across the Open Source and vendor landscape. Build and maintain tooling and systems to promote ML development within the firm. Create and maintain code samples to bootstrap ML practitioners so that the work done to help one team will help the next. What you'll bring to the role: Minimum 10 years of related technology experience. Strong background in Python and Java/C/C++. Development, packaging, patching, etc. Debugging, profiling, and performance engineering. Familiarity with trading systems. Understanding of core infrastructure (hardware and software) and how it can be used to make our job easier, e.g., processor architectures, memory, load balancers, reverse proxies, automation frameworks, etc. Experience with container technologies (Docker, podman, buildah, Kubernetes, etc.) Both with regards to packaging and runtime. At least some familiarity with cloud and cloud enablement technologies (AWS, Azure, Terraform.) Understanding how to use modern and traditional data tiers, e.g., relational databases, object stores, graph databases. Experience designing ETL pipelines. Linux (system level understanding, building software, debugging, etc.) Self-starter capable of taking an idea and seeing it all the way from research to execution. Ability to clearly illustrate complex ideas using documentation and diagrams. Nice to have: Dask, Ray, Spark, and other distributed compute tech. OSS development. Mathematics, e.g., statistics, linear algebra. Background in data science. Knowledge of the latest deep learning deployment technologies (jax, openxla, etc.) Knowledge of model monitoring tools (mlflow, tensorboard, etc.) Experience with CUDA, ROCm, etc. Exposure to the financial sector (equities, fixed income, etc.) Knowledge of GitHub (general PR workflow, Actions, etc.) WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste ***************************************************** into your browser. Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Engineering position at the Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on. The Machine Learning Research group is looking for a ML Python developer and DevOps/ML Ops engineer. An individual who can sit down with fellow developers, ML researchers, and clients to build out and deploy bespoke but maintainable solutions. What you'll do in the role: * Work with ML researchers to develop, productionize, and deploy ML based project for clients. * Maintain and support production systems. * Onboard and develop systems to help us manage and reuse ML models across the Firm with a focus on ML Ops * Hack away at compiling and repackaging tricky libraries used by researchers. * Find tooling and platform solutions to real-world problems and bring them into the Firm as quickly as possible with adherence to our security policies. * Remain up to date on ML tools, libraries, and techniques across the Open Source and vendor landscape. * Build and maintain tooling and systems to promote ML development within the firm. * Create and maintain code samples to bootstrap ML practitioners so that the work done to help one team will help the next. What you'll bring to the role: * Minimum 10 years of related technology experience * Python (development, packaging, patching, etc.) * Understanding of core infrastructure (hardware and software) and how it can be used to make our job easier, e.g., processor architectures, memory, load balancers, reverse proxies, automation frameworks, etc. * Container technologies (Docker, podman, buildah, Kubernetes, etc.) Both with regards to packaging and runtime. * At least some familiarity with cloud and cloud enablement technologies (AWS, Azure, Terraform.) * Understanding of how to use modern and traditional data tiers, e.g., relational databases, object stores, graph databases. * Experience designing ETL pipelines. * Able to code in at least one other language: e.g. C/C++, C#, Java, Scala, Erlang, Elixir, Ruby. * Linux (system level understanding, building software, debugging, etc.) * Demonstrated interest in ML, e.g., small OSS projects, Kaggle, Coursera, books, blogs, podcasts. * Self-starter capable of taking an idea and seeing it all the way from research to execution. * Ability to clearly illustrate complex ideas using documentation and diagrams. Nice to have: * Dask, Ray, Spark, Clustering tech (Zookeeper, consul, etc.) * OSS development or enterprise Python development experience * Mathematics, e.g., statistics, linear algebra * Background in data science * Knowledge of the latest deep learning deployment technologies (jax, openxla, etc.) * Knowledge of model monitoring tools (mlflow, tensorboard, etc.) * Experience with CUDA, ROCm, etc. * Exposure to the financial sector (equities, fixed income, etc.) WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste ***************************************************** into your browser. Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Morgan Stanley Services Group, Inc. seeks a Director, Lead Data & Analytics Engineer in New York, New York Maintain and support services and capabilities of the firm's internal search infrastructure. Onboard and index new data sources, clean existing index, improve relevancy algorithms, and apply AIML models to search application. Create data pipelines and ETL processes to facilitate onboarding client data into firm databases. Upgrade software system capabilities to best serve the business needs of end users. Incorporate industry best practices to improve performance and productivity of the firm's internal search infrastructure. Develop a monitoring mechanism for search infrastructure. Streamline and improve product delivery metrics. Troubleshoot technical issues, perform root cause analysis, and take appropriate action to remediate issues related to discovery, relevancy and data mining. Salary: Expected base pay rates for the role will be between $160,000 and $165,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Requirements: Requires a Master's degree in Computer Science, Computer Engineering, or a related field plus three (3) years of experience in the position offered or three (3) years of experience as an AI/ML Engineer, Data Scientist, or related occupation. Two (2) years of experience with: Java. One (1) year of experience with: vended or open-source search engines; Javascript; and Python. Any amount of experience with: building and training machine learning models; deploying machine learning models in production; AI chatbot development; Semantic search; Lucidworks Fusion connector configurations; indexing strategies for structured and unstructured data; faceted search; typeahead; relevance boosting; DevOPs; KPI's; Agile practices; Enterprise Git; GitHub; Jenkins; continuous integration tools, including Artifactory ro, SonarQube, selenium, and Jmeter; load testing; troubleshooting and production support; Docker; Kubernetes; and Azure. Qualified Applicants: To apply, visit us at ******************************************************* and enter JR025360 in the search field. No calls please. EOE WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste ***************************************************** into your browser. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Cloud & Infrastructure Engineering position at the Director, which is part of the job family responsible for managing and optimizing technical infrastructure and ensuring the seamless operation of IT systems to support business needs effectively. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on. This position would work within the cloud engineering organization to assist with the design and implementation our cloud strategy. This position would have specific focus on cloud related project and the day-to-day tasks critical to deploying cloud solutions. What you'll bring to the role: * BS/BA Preferred or equivalent experience * 5+ years of Enterprise IT Infrastructure or Application development experience * Working knowledge public cloud architectures and services. AWS experience a big plus. * Demonstrated ability to think strategically about business, product, and how best to overcome technical hurdles. * Hands-on experience with design, development, and deployment of business software at scale in AWS. In addition, hands-on experience with technology infrastructure, network, compute, storage, and virtualization a plus. * Proven experience with software development life cycle (SDLC) and agile/iterative methodologies required. * Integration of cloud services with on-premises technologies from Microsoft, IBM, Oracle, HP, SAP etc. * Experience with IT compliance and risk management requirements (e.g., security, privacy, SOX, HIPAA etc.) Familiar with IT audit related tasks and responses. * Willingness to challenge the status quo and dig deep into legacy technology, processes, and practices to understand how to transform and move them forward. * Experience planning and migrating traditional on-prem architectures to public cloud. * Proven track record of implementing AWS services in a variety of distributed computing environments. * Experience with documenting cloud workloads including runbooks and 'how to' documents. * Experience with Jira/Confluence a plus. * Experience working with Agile collaboration and project management tooling (Jira, Confluence, and Kanban) * Experience with Agile methodologies including Kanban and DevOps software development. * Experience with highly available and fault-tolerant enterprise and web-scale software deployments * Infrastructure automation through DevOps scripting (e.g., Terraform, Python, TFCB and GitHub) * Configuration management using Ansible or Puppet. * Strong practical Linux systems administration skills in a Cloud or Virtualized environment * Willingness to be a tech evangelist to help drive adoption and acceptance of new patterns and ways to solve problems. * Understanding of Continuous Integration - Continuous Deployment (CI-CD) methodologies (Bamboo, Jenkins) * Familiar with monitoring tools and strategies. * Strong configuration management tooling knowledge * Comfortable with version control systems and pipelines (Bitbucket, GitHub, etc.) * Excellent planning, documentation, and communication skills. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste ***************************************************** into your browser. Expected base pay rates for the role will be between $120,000 and $165,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

We are looking for a Data Engineer to join our regulatory reporting data engineering team. The application processes very large datasets, with business logic implemented using Scala/Spark workloads on Databricks and Snowflake as the core data platform. The selected candidate will work closely with senior engineers to develop data pipelines, implement controls, and support testing and operational activities. What you'll do in the role: * Assist in developing and enhancing Spark-based dat pipelines written in Scala on Databricks * Implement and maintain business logic for regulatory reporting under guidance of senior team members * Develop automation utilities and operational controls using Python * Work with datasets stored in Snowflake including data transformations and validations * Support batch workflow setup and maintenance using Autosys scheduler * Write and maintain BDD test cases and Python unit tests * Participate in code reviews, design discussions, and Agile ceremonies * Provide basic support during production issues and assist in root-cause analysis * Ensure good documentation, coding standards, and quality practices What you'll bring to the role: * Bachelor's degree in Computer Science, Engineering, MIS, or a related field * 3+ years of experience in software development or data engineering * Strong foundational knowledge of Scala and familiarity with Apache Spark * Understanding of cloud data platforms (Snowflake preferred) * Database knowledge and core database concepts(SQL, indexing, joins, transaction, query optimization) * Ability to understand and debug spark application(DAGS, Job, Stages, Failure) * Understanding of spark job optimization techniques * Working knowledge of Python for scripting, automation, and testing * Exposure to BDD frameworks and writing unit tests * Strong understanding of SDLC, coding practices, and Agile methodology * Good communication skills and willingness to learn complex financial datasets Desired Skills: * Basic understanding of Trade Lifecycle concepts * Awareness of Equities and Options asset classes * Exposure to Front Office (FO) trade/order data * Experience with Unix/Linux commands and shell scripting Familiarity with batch job schedulers (Autosys is a plus) * Basic exposure to Generative AI use cases * Experience with large-scale data environments Why Join Us? * Hands-on learning with modern tech stack: Scala, Spark, Databricks, Snowflake * Opportunity to work on large-scale, high-impact regulatory reporting systems * Strong mentoring and skill-building environment with senior engineers * Collaborative & respectful culture focused on growth, learning, and continuous improvement WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste ***************************************************** into your browser. Expected base pay rates for the role will be between $90,000 and $150,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights. As a Data Engineer II - Python/Spark/AWS at JPMorgan Chase within the Corporate Sector AI/ML Data Platform's Fusion Data Onboarding and Enablement team, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As an emerging member of a data engineering team, you execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities Design and build scalable, high-performance, and reliable data pipelines. Gather, analyze, model, and transform datasets to extract valuable insights from a large and diverse pool of both structured and unstructured data. Organizes, updates, and maintains gathered data that will aid in making the data actionable Provide technical expertise in designing and implementing solutions related to data delivery. Ensure adherence to data governance principles, implement data quality checks, and maintain data lineage throughout the data lifecycle. Collaborate with cross-functional teams to gather business requirements and translate them into effective database designs and data flows. Prepare accurate documentation on database design, data flow architecture, and pipeline orchestration. Demonstrates basic knowledge of the data system components to determine controls needed to ensure secure data access Be responsible for making custom configuration changes in one to two tools to generate a product at the business or customer request Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience Basic knowledge of the data lifecycle and data management functions Proficiency in SQL, ETL, data modeling, and Python. Hands-on experience with building data pipelines using Python and PySpark. Strong database skills with a thorough understanding of databases and data modelling concepts. Advanced at SQL (e.g., joins and aggregations) Working understanding of NoSQL databases Significant experience with statistical data analysis and ability to determine appropriate tools to perform analysis Basic knowledge of data system components to determine controls needed Preferred qualifications, capabilities, and skills Knowledge of Apache Iceberg. Knowledge of AWS and relevant services like S3, Glue. Knowledge of pipeline orchestrators like Airflow, Argo. Knowledge of version control systems like GitHub. Knowledge of metadata management, data lineage, and data glossaries.

Highbridge Capital Management, LLC, founded in 1992, is a global alternative asset management firm. Over the years, it has developed a diversified investment platform that includes hedge funds, co-investment vehicles, and committed, closed-end vehicles designed for longer-term holding periods. Today, Highbridge distinguishes itself as a credit, relative value, and volatility-focused franchise, with the flexibility to invest opportunistically across the capital structure and liquidity spectrum. Currently managing over $4 billion in capital, the firm strives to generate attractive risk-adjusted returns for a financially sophisticated clientele, including institutional investors, public and corporate pension funds, sovereign wealth funds, endowments, foundations, and family offices. Headquartered in New York, Highbridge also operates an office in London. Highbridge Capital Management is seeking an Associate Data Engineer to join our team, reporting directly to the Head of Investment Technology. This team is dedicated to developing innovative technology solutions that empower our investment professionals with the data, analytics, and applications essential for making informed day-to-day investment decisions. In recent years, the creation, utilization, and capture of Highbridge's proprietary data, along with third-party market data, have experienced significant growth fueled by an increase in assets under management and transactional volumes as well as Highbridge's increasingly systematic, data-driven approach to investing. To support this growth, Highbridge is committed to streamlining its data capture processes while upholding the highest standards of data quality and integrity. The Associate Data Engineer will play a crucial role in driving these initiatives, enhancing our data capabilities and contributing to the overall success of our investment strategies. Job Responsibilities: The Data Engineer will play a vital role in ensuring the effectiveness and reliability of the firm's data. This position requires seamless collaboration with the firm's Technology, Risk, Operations and Investment teams during critical periods to maintain data integrity and ensure that essential applications have the necessary data to function optimally. Key responsibilities will include, but are not limited to, the following: Data Models: Develop a comprehensive understanding of our database structures across Oracle, SQL Server, and Snowflake Acquire in-depth knowledge of the data architecture within our Portfolio Accounting system to support data-driven decision-making Work with proprietary and vendor data models to optimize data integration and utilization, aiming to enhance business performance and investment outcomes Data Engineering and Analysis: Collaborate with the investment team to identify data capture and analysis requirements for new investment initiatives Manage and understand data relationships within our database environments to ensure data integrity Create and implement reconciliation processes to proactively identify and resolve data discrepancies across systems Documentation and Knowledge Transfer: Document data requirements, standards, and workflows in the firm's internal knowledge repository, ensuring transparency and accessibility for all stakeholders Provide timely communication regarding new data anomalies to ensure prompt resolution Operational Support: Troubleshoot T-1 data issues across reference data systems to maintain operational continuity. Understand and manage Start-of-Day data dependencies across systems, focusing on investment and trading applications Risk and Client Reporting Consistency: Assist in maintaining data consistency across the firm's various sources to ensure accurate and reliable risk/investment and client reporting, addressing the challenges posed by the proliferation of data within the firm Required Qualifications, Capabilities and Skills: Education: Bachelor's degree in a technology-related field (e.g., Computer Science, Engineering, Mathematics) Experience: 3-5 years of data experience in the financial services industry Meticulous Attention to Detail: A strong commitment to precision and adherence to process is essential Entrepreneurial Mindset: Exhibits energy, intellectual curiosity and a strong dedication to achieving results Strong Intellectual Capacity: Highly proficient in SQL Motivated: Demonstrates a passion for data best practices and a desire to learn about investment concepts Outstanding Quantitative and Analytical Abilities: Expertise in data analysis and effective problem-solving skills Effective Communication Skills: Excellent verbal and written communication skills to engage and collaborate effectively with internal stakeholders Collaborative and Adaptable Team Player: Thrives in a dynamic team environment and values collaboration

You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights. As a Data Engineer II - Python/Spark/AWS at JPMorgan Chase within the Corporate Sector AI/ML Data Platform's Fusion Data Onboarding and Enablement team, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As an emerging member of a data engineering team, you execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities Design and build scalable, high-performance, and reliable data pipelines. Gather, analyze, model, and transform datasets to extract valuable insights from a large and diverse pool of both structured and unstructured data. Organizes, updates, and maintains gathered data that will aid in making the data actionable Provide technical expertise in designing and implementing solutions related to data delivery. Ensure adherence to data governance principles, implement data quality checks, and maintain data lineage throughout the data lifecycle. Collaborate with cross-functional teams to gather business requirements and translate them into effective database designs and data flows. Prepare accurate documentation on database design, data flow architecture, and pipeline orchestration. Demonstrates basic knowledge of the data system components to determine controls needed to ensure secure data access Be responsible for making custom configuration changes in one to two tools to generate a product at the business or customer request Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience Basic knowledge of the data lifecycle and data management functions Proficiency in SQL, ETL, data modeling, and Python. Hands-on experience with building data pipelines using Python and PySpark. Strong database skills with a thorough understanding of databases and data modelling concepts. Advanced at SQL (e.g., joins and aggregations) Working understanding of NoSQL databases Significant experience with statistical data analysis and ability to determine appropriate tools to perform analysis Basic knowledge of data system components to determine controls needed Preferred qualifications, capabilities, and skills Knowledge of Apache Iceberg. Knowledge of AWS and relevant services like S3, Glue. Knowledge of pipeline orchestrators like Airflow, Argo. Knowledge of version control systems like GitHub. Knowledge of metadata management, data lineage, and data glossaries. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans Base Pay/Salary NY $95,000.00 - $130,000.00 / year

At JPMorganChase, we recognize that rewarding careers do not always follow a conventional path. We value the diversity, fresh perspective and wealth of experience that returning professionals can bring. The ReEntry program offers experienced professionals, who are currently on an extended career break of at least two years, the support and resources needed to relaunch their careers. The program spans over 30 locations worldwide. The ReEntry Program is a 15-week fellowship program, beginning April 20, 2026 and ending July 31, 2026 with the prospect of an offer for permanent employment with JPMorganChase at the end of the program. The permanent placements will be based on both business needs and candidate skill set. Please refer to our ReEntry Overview page for further information regarding the Program Technology at JPMorganChase We're one of the world's biggest technology- and data-driven companies. We spend $17 billion on technology and operate globally at unparalleled scale and speed. You'll join an inspiring and curious team of technologists dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. You'll be tasked with keeping the team and other key stakeholders up to speed on the progress of what's being developed. And best of all, you'll be working with and sharing ideas, information and innovation with our global team of technologists from all over the world. What We Look For We are looking for technology professionals in our US Tech Center locations with previous experience including but not limited to; Software Engineers (Fullstack & Backend) - with Java, Spring, .NET, Salesforce, Python, C++, Oracle, AWS & Kubernetes experience UI Engineers - JavaScript, React/Angular & ExpressJS/NodeJS/GoLang & Oracle/SQL Data Analytics, Quant Analytics, Scientists and Engineers Data Management Data Engineers - Hadoop, Spark, Kafka, Cassandra Database Management Architecture Agility Leads Technical Program Delivery Product Managers Solutions Analysts (Business Analysts & QA Analysts) Technology Support (Applications Support) DevOps, Site Reliability and Infrastructure Engineers UX Research and Design You will probably have a background in computer science, preferably in a software engineering role. You will be a creative, innovative team player with analytical, technical, problem solving, planning and organizational skills. As a business with an ongoing focus on software development, we would be very keen to hear from you if you have previous Open Source or Object Oriented programming experience with an understanding of agile methodologies.

JobID: 210689566 JobSchedule: Full time JobShift: Day Base Pay/Salary: New York,NY $133,000.00-$185,000.00 We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within Consumer & Community banking, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job responsibilities * Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems * Develops secure and high-quality production code, and reviews and debugs code written by others * Serves as a function-wide subject matter expert in one or more areas of focus. * Actively contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software Development Life Cycle * Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development * Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems * Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture * Contributes to software engineering communities of practice and events that explore new and emerging technologies Required qualifications, capabilities, and skills * Formal training or certification on native mobile application development concepts and 5+ years applied experience. * Proficiency in Swift programming language (including modern concurrency patterns like async/await and Combine) * Strong experience with iOS frameworks: UIKit, SwiftUI, Foundation, Core Data, Combine * Experience with object-oriented programming and design patterns (MVC, MVVM, Coordinator, SOLID) * Experience with RESTful APIs and JSON parsing for data exchange * Experience writing unit tests using XCTest and UI tests using XCUITest * Deep understanding of mobile application security concepts (OAuth2, OIDC, PKCE, biometrics, secure storage, Apple security APIs) * Experience with CI/CD processes and tools (e.g., Bitrise, source code management with Git) * Experience with modularisation and dependency injection * Familiarity with best practices in mobile design: human interface guidelines, threading, accessibility * Experience building and maintaining reusable iOS SDKs or frameworks Preferred qualifications, capabilities and skills- nice to haves * Experience writing UI tests using XCUITest or other framework * Experience building or working with Design Systems (UI Development, White-labelling) * Experience with modularization and dependency injection * Appreciation for Accessibility and understanding of how to meet Accessibility requirements * Understanding of Mobile Application Security considerations * Show us your Github/Stack Overflow/app portfolio!

JobID: 210680050 JobSchedule: Full time JobShift: Base Pay/Salary: Brooklyn,NY $133,000.00-$185,000.00 We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Athena Core Team, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will be responsible for implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives. Job responsibilities * Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems * Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems * Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development * Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems * Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements and optimizations in code and system architecture * Contributes to software engineering communities of practice and events that explore new and emerging technologies * Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills * Formal training or certification on Computer Science concepts and 3+ years applied experience. * Hands-on practical experience in system design, application development, testing, and operational stability * Proficient in coding in one or more languages - Python, Java * Need familiarity with cross-asset/cross-business platforms * Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages * Overall knowledge of the Software Development Life Cycle * Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security * Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills * Overall knowledge of the financial services industry and their IT systems * Intermediate to advanced Python coding experience * Exposure to cloud technologies

JobID: 210683540 JobSchedule: Full time JobShift: Base Pay/Salary: Chicago,IL $80,000.00-$140,000.00; Jersey City,NJ $90,000.00-$160,000.00; New York,NY $90,000.00-$160,000.00; Palo Alto,CA $90,000.00-$160,000.00; Seattle,WA $90,000.00-$160,000.00 At JPMorganChase, we recognize that rewarding careers do not always follow a conventional path. We value the diversity, fresh perspective and wealth of experience that returning professionals can bring. The ReEntry program offers experienced professionals, who are currently on an extended career break of at least two years, the support and resources needed to relaunch their careers. The program spans over 30 locations worldwide. The ReEntry Program is a 15-week fellowship program, beginning April 20, 2026 and ending July 31, 2026 with the prospect of an offer for permanent employment with JPMorganChase at the end of the program. The permanent placements will be based on both business needs and candidate skill set. Please refer to our ReEntry Overview page for further information regarding the Program Technology at JPMorganChase We're one of the world's biggest technology- and data-driven companies. We spend $17 billion on technology and operate globally at unparalleled scale and speed. You'll join an inspiring and curious team of technologists dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. You'll be tasked with keeping the team and other key stakeholders up to speed on the progress of what's being developed. And best of all, you'll be working with and sharing ideas, information and innovation with our global team of technologists from all over the world. What We Look For We are looking for technology professionals in our US Tech Center locations with previous experience including but not limited to; * Software Engineers (Fullstack & Backend) - with Java, Spring, .NET, Salesforce, Python, C++, Oracle, AWS & Kubernetes experience * UI Engineers - JavaScript, React/Angular & ExpressJS/NodeJS/GoLang & Oracle/SQL * Data Analytics, Quant Analytics, Scientists and Engineers * Data Management * Data Engineers - Hadoop, Spark, Kafka, Cassandra * Database Management * Architecture * Agility Leads * Technical Program Delivery * Product Managers * Solutions Analysts (Business Analysts & QA Analysts) * Cybersecurity * Tech Controls * Technology Support (Applications Support) * DevOps, Site Reliability and Infrastructure Engineers * UX Research and Design You will probably have a background in computer science, preferably in a software engineering role. You will be a creative, innovative team player with analytical, technical, problem solving, planning and organizational skills. As a business with an ongoing focus on software development, we would be very keen to hear from you if you have previous Open Source or Object Oriented programming experience with an understanding of agile methodologies.

JobID: 210682838 JobSchedule: Full time JobShift: Base Pay/Salary: New York,NY $118,750.00-$160,000.00 We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. Job Summary: As a Software Engineer III at JPMorgan Chase within the Wholesale Credit Risk team, you will play a pivotal role in designing and implementing scalable hybrid cloud solutions. You will collaborate with development leads and senior stakeholders to deliver robust solutions, while mentoring team members and fostering a collaborative environment. This opportunity allows you to leverage your technical expertise in hybrid cloud architecture and coding to promote technical excellence and innovation. Job responsibilities * Architect, design, and implement scalable hybrid cloud solutions for transactional, analytics and RAD workloads. * Write and review high-quality code, ensuring adherence to best practices and standards. * Collaborate with development leads and cross-functional teams to deliver robust solutions. * Conduct code reviews and provide constructive feedback to drive technical excellence. * Present technical concepts and project updates to senior stakeholders. * Prioritize tasks effectively, balancing urgent needs with strategic progress. * Mentor and support team members, fostering a collaborative and helpful environment. Required qualifications, capabilities and skills * Formal training or certification on hybrid cloud architecture concepts and 5+ years applied experience * Proven experience in hybrid cloud architecture (AWS, Azure, GCP, or private cloud). * Strong coding skills in languages such as Java, Python, React or similar. * Deep understanding of distributed systems, data pipelines, and analytics platforms. * Experience with CI/CD, DevOps, and modern software engineering practices. * Excellent interpersonal and presentation skills. * Demonstrated ability to work with development leads and senior stakeholders. Preferred qualifications, capabilities and skills * Action-oriented, decisive, drives results systematically. * Skilled at assessing risk and making decisions with a holistic, big-picture perspective. * Demonstrates a can-do attitude and leads by example. * Detail-oriented, able to distinguish between important and urgent tasks. * Prioritizes helpfulness, mentorship, and team development. * Acts with integrity.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Neovest Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities: Execute software solutions, including design, development, and technical troubleshooting, with the ability to think beyond routine or conventional approaches to build solutions or resolve technical problems. Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems. Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to continuously improve software applications and systems. Proactively identify hidden problems and patterns in data and use these insights to drive improvements in coding hygiene and system architecture. Contribute to software engineering communities of practice and events that explore new and emerging technologies. Foster a team culture of diversity, equity, inclusion, and respect. Required Qualifications, Capabilities, and Skills: Formal training or certification in software engineering concepts and 3+ years of applied experience. Intermediate knowledge and experience with C#/.Net. Intermediate knowledge and experience in developing multi-threaded applications. Experience developing software that integrates with third-party, external providers using REST, SOAP, FIX, and secure file transfer. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Extensive experience in Capital Markets (e.g., brokerage, trading). Experience in building and supporting capital markets applications. In-depth knowledge of the markets and trading industry and their IT systems. Preferred Qualifications, Capabilities, and Skills: Experience working with Portfolio Management systems. Ability to work in an Agile environment. Familiarity with modern User Interface architecture and design (e.g., React, Angular, TypeScript). Familiarity with data caching technologies (e.g., Redis, Hazelcast). Familiarity with message distribution technologies (e.g., RabbitMQ, Kafka). Advanced English language skills. Exposure to cloud-native environments

JobID: 210683258 JobSchedule: Full time JobShift: Base Pay/Salary: Jersey City,NJ $95,000.00-$125,000.00; New York,NY $95,000.00-$125,000.00 Join our 2026 Emerging Talent Software Engineer program and propel your career to new heights with a team of innovative technologists. Engage in diverse projects, gain new skills, and create positive change for the communities we serve. We value your unique skills and innovative ideas within our supportive and diverse technology organization. Ready to tackle big challenges with a global technology team? We're eager to meet you. About the Program As a Software Engineer in the Emerging Talent Software Engineer, you will embark on a global two-year career development journey. This program is designed to equip you with essential technical and professional skills, enabling you to build strong networks and establish a successful career with us. You will have opportunities for job growth, accelerated career advancement, and career mobility. Our program begins with an in-depth induction that introduces you to our businesses, enhances your understanding of development methodologies, and sharpens your professional skills. You will dive head-first into creating innovative solutions that make a difference for our customers, clients, and employees. We will be filling our classes on a rolling basis. We strongly encourage you to submit your application as early as possible before job postings close. Job Responsibilities * Execute basic software solution, design, development, and technical troubleshooting * Write secure and high-quality code using the syntax of at least one programming language with peer guidance * Interpret architecture and design representations as well as nonfunctional requirements to develop secure, stable software against a defined architecture * Apply automation to reduce manual toil in the Software Development Life Cycle * Gather, analyze, and synthesize basic data sets to troubleshoot technical issues and generate insights for continuous improvements. * Breaks down routine technical tasks to troubleshoot and solve issues * Work and share ideas, information and innovation with our team of technologists from all over the world. * Participate in our Force for Good program to build real-world sustainable technology solutions for social good organizations. Required qualifications, capabilities, and skills * You should have graduated and be available to start full time employment in July 2026 * A well-rounded academic background * Baseline knowledge of software, applications and technical processes within a given technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) * Ability to work effectively in large, collaborative teams to achieve organizational goals, with a commitment to fostering an inclusive and innovative culture. * Foundational knowledge of programming languages (e.g., Python, JavaScript, Java, C++, C#), databases, data structures and algorithms * Understanding of software skills including business analysis, development, maintenance, and software improvement. * Proficiency in developmental toolsets * Basic knowledge of industry-wide technology trends and best practices * Exposure to agile methodologies, including CI/CD, Application Resiliency, and Security. Preferred qualifications, capabilities, and skills * Obtained your foundational technology background in non-traditional ways including, but not limited to, technology bootcamps, workforce development programs and community colleges * Strong interpersonal and communication skills * Ability to thrive in a fast-paced, collaborative environment * Exceptional problem-solving ability * Exposure to cloud technologies * Experience with relational databases Locations you may join: * Columbus, OH * Jersey City, NJ * New York Metro, NY * Plano, TX * Tampa, FL About Us When you work at JPMorgan Chase, you're part of a global financial institution and a leading tech company. Our team of over 63,000 technologists across global technology centers, is dedicated to designing, building, deploying, and managing a wide range of solutions, including enterprise technology initiatives, big data, mobile solutions, electronic payments, cybersecurity, machine learning, and cloud development. We collaborate with FinTech and Silicon Valley tech firms to deliver innovative solutions to our clients and customers. With a $17 billion annual investment in technology, we are committed to hiring talented individuals to create transformative solutions that will revolutionize the financial services industry and make a global impact. About You If you're ready to put your passion for technology to work in a way that makes a real difference, you'll find your place in our Emerging Software Engineer program. This opportunity is not available to individuals currently enrolled in a full-time college or university program. If you are a current student, please visit jpmorganchase.com/careers to explore internships and other full-time opportunities. To be eligible for this program, you must be authorized to work in the U.S. We do not offer any type of employment-based immigration sponsorship for this program. Likewise, JPMorgan Chase, will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT.) What's Next? Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume is a way for us to initially get to know you, so it's important to complete all relevant application questions so we have as much information about you as possible. After you confirm your application, we will review it to determine whether you meet certain required qualifications. If you are advanced to the next step of the process, you'll receive an email invitation to complete a coding challenge powered by HackerRank. HackerRank is required, and your application will not be considered for further review until you have completed this step. We strongly encourage that you apply and complete these required elements as soon as possible, since programs will close as positions are filled. If you progress further, you'll get an email invitation for a video interview powered by HireVue. This is your opportunity to further bring your resume to life and showcase your experience for our recruiting team and hiring managers. JPMorganChase is committed to creating an inclusive work environment that respects all people for their unique skills, backgrounds and professional experiences. We will provide reasonable accommodations for applicants with disabilities. Visit jpmorganchase.com/careers for upcoming events, career advice, our locations and more.

JobID: 210687838 JobSchedule: Full time JobShift: Day Base Pay/Salary: NY $95,000.00-$130,000.00 You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights. As a Data Engineer II - Python/Spark/AWS at JPMorgan Chase within the Corporate Sector AI/ML Data Platform's Fusion Data Onboarding and Enablement team, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As an emerging member of a data engineering team, you execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities * Design and build scalable, high-performance, and reliable data pipelines. * Gather, analyze, model, and transform datasets to extract valuable insights from a large and diverse pool of both structured and unstructured data. * Organizes, updates, and maintains gathered data that will aid in making the data actionable * Provide technical expertise in designing and implementing solutions related to data delivery. * Ensure adherence to data governance principles, implement data quality checks, and maintain data lineage throughout the data lifecycle. * Collaborate with cross-functional teams to gather business requirements and translate them into effective database designs and data flows. * Prepare accurate documentation on database design, data flow architecture, and pipeline orchestration. * Demonstrates basic knowledge of the data system components to determine controls needed to ensure secure data access * Be responsible for making custom configuration changes in one to two tools to generate a product at the business or customer request Required qualifications, capabilities, and skills * Formal training or certification on software engineering concepts and 2+ years applied experience * Basic knowledge of the data lifecycle and data management functions * Proficiency in SQL, ETL, data modeling, and Python. * Hands-on experience with building data pipelines using Python and PySpark. * Strong database skills with a thorough understanding of databases and data modelling concepts. * Advanced at SQL (e.g., joins and aggregations) * Working understanding of NoSQL databases * Significant experience with statistical data analysis and ability to determine appropriate tools to perform analysis * Basic knowledge of data system components to determine controls needed Preferred qualifications, capabilities, and skills * Knowledge of Apache Iceberg. * Knowledge of AWS and relevant services like S3, Glue. * Knowledge of pipeline orchestrators like Airflow, Argo. * Knowledge of version control systems like GitHub. * Knowledge of metadata management, data lineage, and data glossaries.