Requirements Engineer jobs at GM Financial

We are actively searching for a Founding Senior Backend Engineer to join our team on a permanent basis. In this position you will lead the design and development of our backend infrastructure that powers our protocol (think everything off-chain). If you are someone that is impressed with what Hyperliquid has accomplished then this role is for you. We are on a mission to build next generation lending and debt protocols. We are open to both Senior level and Architect level candidates for this role. Your Rhythm: Drive the architecture, technical design, and implementation of our backend infrastructure Build and maintain low latency indexing infrastructure Build and maintain our offline and online data analytic pipelines that power our trading and risk engines Lead code reviews, providing constructive feedback and ensuring adherence to established coding standards and best practices Your Vibe: 6+ years of professional software engineering experience 2+ years of experience working on backends interacting with blockchains in production environments 5+ years of experience working with a modern backend languages (Go, Rust, Python, etc) in distributed architectures Strong knowledge around DeFi products Open to collaborating onsite a few days a week at our downtown SF office Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

Regular Your opportunity At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s). This role is responsible for supporting and maintaining enterprise monitoring and telemetry platforms; Confluent Enterprise Platform (i.e., Kafka), ITRS Geneos, and OpenTelemetry telemetry pipeline as a member of the Enterprise Telemetry team. Activities include supporting Kafka producers and consumers, ITRS agent administration, OTEL pipeline management, troubleshooting and resolving issues, identifying opportunities for improvement, and creating reference and run-book documentation. May also participate in developing observability dashboards and configure monitoring and alerting as needed. Must be able to plan, coordinate and implement changes and use tools to troubleshoot incidents. Strong verbal and written communication skills are required. This position will help monitor the health of these environments and address issues in a timely manner. Duties will also include on-boarding new producer and consumer use cases, performing software upgrades, process improvement, and additional platform support roles. It will also include contributing to the build and support of the enterprise telemetry pipeline. Proficient with Monitoring Tools, Linux administration; Proficient in Kafka administration, including installing software, modifying configuration files, and agent management. Highly efficient multi-tasker and great organization skills. Splunk, Grafana, and Datadog experience a plus. Duties will include: · On-boarding new Kafka producer and consumer use cases. · Engineering and supporting the enterprise telemetry pipeline · Testing and deploying software upgrades. · Managing and supporting telemetry agents. · Support of OpenTelemetry collectors · Issue troubleshooting and resolution. What you have · Deep understanding of the Confluent Enterprise Platform component: Brokers, Topics, Partitions, Producers, Consumers, Zookeeper, KRaft. · Ability to setup and configure on-prem Kafka components, replication factors, and partitioning. · Experience engineering logging platforms · Understanding of telemetry monitoring platforms and concepts, like ITRS Geneos, OpenTelemetry agents like Grafana Alloy. Grafana Cloud and Datadog. · Deep understanding of security protocols: SSL/TLS, SASL, LDAP, etc. and role-based authentication. · Experience working in telemetry monitoring (alerts, events, logs, metrics, and traces). · Experience working in Linux/Unix, Windows, and virtualized environment. · Understanding of cloud environments (AWS, Azure, GCP, and PCF) · Familiarity with DNS, Load balancing, and firewalls. · Ability to analyze logs to diagnose issues. · Experience using other monitoring or analytics tools such as Splunk or Prometheus) · Desired: Scripting experience with Python, Bash, Powershell or similar. · Desired: Knowledge or experience in high level languages such as Java or Go. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance

AWS data services (S3, Glue, Redshift, Athena, Lambda, Step Functions, Kinesis, etc.). Unity Catalog, Pyspark, AWS Glue, Lambda, Step Functions, and Apache Airflow AWS data services (S3, Glue, Redshift, Athena, Lambda, Step Functions, Kinesis, etc.) Programming skills in Python, Scala, or Pyspark for data processing and automation Expertise in SQL and experience with relational and NoSQL databases (e.g., RDS, DynamoDB). Data Pipeline Development: Design, develop, and optimize ETL/ELT pipelines using AWS & Databricks services such as Unity Catalog, Pyspark, AWS Glue, Lambda, Step Functions, and Apache Airflow. Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data, ensuring high data quality and consistency. Cloud Infrastructure Management: Build and manage scalable, secure, and cost-efficient data infrastructure using AWS services like S3, Redshift, Athena, and RDS. Data Modeling: Create and maintain data models to support analytics and reporting requirements, ensuring efficient querying and storage. Performance Optimization: Monitor and optimize the performance of data pipelines, databases, and queries to meet SLAs and reduce costs. Collaboration: Work closely with data scientists, analysts, and software engineers to understand data needs and deliver solutions that enable business insights. Security and Compliance: Implement best practices for data security, encryption, and compliance with regulations such as GDPR, CCPA, or ITAR. Automation: Automate repetitive tasks and processes using scripting (Python, Bash) and Infrastructure as Code (e.g., Terraform, AWS CloudFormation). Agile Development: Build and optimize continuous integration and continuous deployment (CI/CD) pipelines to enable rapid and reliable software releases using Gitlab in an Agile environment. Monitoring and Troubleshooting: Set up monitoring and alerting for data pipelines and infrastructure, and troubleshoot issues to ensure high availability. Base Salary Range: $100,000 - $120,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

AI Ops Engineer (Exempt) Enterprise AI/ML Organization At this time, we are unable to offer visa sponsorship for this position. Candidates must be legally authorized to work for any employer in the United States (or (applicable country) on a full-time basis without the need for current or future immigration sponsorship. OVERVIEW We are looking for an experienced AI Ops Engineer to support our AI and ML initiatives, including GenAI platform development, deployment automation, and infrastructure optimization. You will play a critical role in building and maintaining scalable, secure, and observable systems that power scalable RAG solutions, model training platforms, and agentic AI workflows across the enterprise. RESPONSIBILITIES Design and implement CI/CD pipelines for AI and ML model training, evaluation, and RAG system deployment (including LLMs, vector DB, embedding and reranking models, governance and observability systems, and guardrails). Provision and manage AI infrastructure across cloud hyperscalers (AWS/GCP), using infrastructure-as-code tools -strong preference for Terraform-. Maintain containerized environments (Docker, Kubernetes) optimized for GPU workloads and distributed compute. Support vector database, feature store, and embedding store deployments (e.g., pg Vector, Pinecone, Redis, Featureform. MongoDB Atlas, etc). Monitor and optimize performance, availability, and cost of AI workloads, using observability tools (e.g., Prometheus, Grafana, Datadog, or managed cloud offerings). Collaborate with data scientists, AI/ML engineers, and other members of the platform team to ensure smooth transitions from experimentation to production. Implement security best practices including secrets management, model access control, data encryption, and audit logging for AI pipelines. Help support the deployment and orchestration of agentic AI systems (LangChain, LangGraph, CrewAI, Copilot Studio, AgentSpace, etc.). Must Haves: 4+ years of DevOps, AI Ops, or infrastructure engineering experience. Preferably with 2+ years in AI/ML environments. Hands-on experience with cloud-native services (AWS Bedrock/SageMaker, GCP Vertex AI, or Azure ML) and GPU infrastructure management. Strong skills in CI/CD tools (GitHub Actions, ArgoCD, Jenkins) and configuration management (Ansible, Helm, etc.). Proficient in scripting languages like Python, Bash, -Go or similar is a nice plus-. Experience with monitoring, logging, and alerting systems for AI/ML workloads. Deep understanding of Kubernetes and container lifecycle management. Bonus Attributes: Exposure to AI Ops tooling such as MLflow, Kubeflow, SageMaker Pipelines, or Vertex Pipelines. Familiarity with prompt engineering, model fine-tuning, and inference serving. Experience with secure AI deployment and compliance frameworks Knowledge of model versioning, drift detection, and scalable rollback strategies. Abilities: Ability to work with a high level of initiative, accuracy, and attention to detail. Ability to prioritize multiple assignments effectively. Ability to meet established deadlines. Ability to successfully, efficiently, and professionally interact with staff and customers. Excellent organization skills. Critical thinking ability ranging from moderately to highly complex. Flexibility in meeting the business needs of the customer and the company. Ability to work creatively and independently with latitude and minimal supervision. Ability to utilize experience and judgment in accomplishing assigned goals. Experience in navigating organizational structure. Travel Required: 2% Physical Demands: Standing/ Walking - minimal level Sitting - moderate to high level Lifting - up to 15 lbs. Visual Concentration - high level Work Environment - typical office environment. Position Type and Expected Hours of Work: Full Time Disclaimer: The above statement is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of responsibilities, duties and skills required.

At this time, we are unable to offer visa sponsorship for this position. Candidates must be legally authorized to work for any employer in the United States (or (applicable country) on a full-time basis without the need for current or future immigration sponsorship RESPONSIBILITIES Design, develop, implement, test, and maintain Generative AI models and agentic workflows using GCP Vertex AI, AWS Bedrock, and Snowflake Cortex. Build and integrate Retrieval Augmented Generation (RAG) systems, to ground the responses of AI solutions with up-to-date and relevant data. Fine-tune and evaluate foundation models using both proprietary and open-source technology. Develop agentic architectures using tools like LangGraph, CrewAI, AutoGen, and others to orchestrate multi-step reasoning, planning, and tool use. Build and optimize AI agents that can interface with MCP servers, APIs, databases, take contextual actions, and autonomously execute business workflows. Collaborate closely with data scientists, data engineers, and stakeholders to understand requirements and deliver AI solutions that meet business needs. Implement best practices for model deployment, monitoring, validation, and retraining on GCP Vertex AI, AWS Bedrock, and Snowflake Cortex. Work with cross-functional IT and business teams in an Agile environment to deliver successful AI solutions. Document processes, models, and configurations for knowledge sharing and compliance. Stay current with the latest in generative AI research and translate breakthroughs into applied business solutions Must Haves: Bachelor's degree in Computer Science, Engineering, or a related field. 4+ years of experience in AI/ML engineering, with a focus on Generative AI. Proficiency in programming languages such as Python Strong understanding of Generative AI models (e.g., GPT, Transformer architectures) and experience in distilling, tuning and training them. Familiarity with Retrieval Augmented Generation (RAG) techniques and their implementation. Experience with agentic AI concepts and developing autonomous AI workflows. Hands-on experience with GCP Vertex AI, AWS Bedrock + Sagemaker, and Snowflake Cortex platforms and their AI/ML capabilities.. Experience with machine learning frameworks (TensorFlow, PyTorch, Hugging Face Transformers). Experience with AI frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, etc. Experience with Natural Language Processing (NLP) and building conversational AI agents. Experience with vector databases (eg. Pinecone, MongoDB Atlas, OpenSearch, pg Vector, FAISS, Qdrant, etc) Experience building production-grade AI/ML systems at scale. Knowledge of MLOps practices, including model deployment and lifecycle management. Excellent problem-solving and analytical skills. Excellent communication and collaboration skills. Bonus Attributes: Familiarity with Prompt Engineering, RLHF, and model evaluation techniques. Understanding of AI governance, safety, and responsible principles. Understanding of reinforcement learning and its application in agentic AI. Familiarity with big data technologies (Apache Spark, Kafka) Experience with CI/CD tools and automation for AI/ML workflows. Familiarity with Snowflake's cloud integrations. Experience with real-time data processing and streaming analytics. Publications or contributions to open-source projects in the AI/ML field. Abilities: Ability to work proactively with a high level of initiative and accuracy. Ability to manage multiple assignments effectively and meet established deadlines. Strong interpersonal skills to interact professionally with staff and stakeholders. Excellent organizational skills and attention to detail. Critical thinking ability ranging from moderately to highly complex tasks. Flexibility in adapting to changing business needs and priorities. Ability to work creatively and independently with minimal supervision. Ability to utilize experience and judgment in accomplishing goals. Experience in navigating organizational structures and collaborating across teams. Travel Required: 2% Physical Demands: Standing/ Walking - minimal level Sitting - moderate to high level Lifting - up to 15 lbs. Visual Concentration - high level Work Environment - typical office environment. Position Type and Expected Hours of Work: Full Time Disclaimer: The above statement is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of responsibilities, duties and skills required.

Job Title : GCP engineer with Bigquery, Pyspark Experience Required - 7+ Years Must Have Technical/Functional Skills GCP Engineer with Bigquery, Pyspark and Python experience Roles & Responsibilities · 6+ years of professional experience with at least 4+ years of GCP Data Engineer experience · Experience working on GCP application Migration for large enterprise · Hands on Experience with Google Cloud Platform (GCP) · Extensive experience with ETL/ELT tools and data transformation frameworks · Working knowledge of data storage solutions like Big Query or Cloud SQL · Solid skills in data orchestration tools like AirFlow or Cloud Workflows. · Familiarity with Agile development methods. · Hands on experience with Spark, Python ,PySpark APIs. Knowledge of various Shell Scripting tools Salary Range - $90,000 to $120,000 per year Interested candidates please do share me your updated resume to ******************* TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

We are actively searching for a Founding Senior Backend Engineer to join our team on a permanent basis. In this position you will lead the design and development of our backend infrastructure that powers our protocol (think everything off-chain). If you are someone that is impressed with what Hyperliquid has accomplished then this role is for you. We are on a mission to build next generation lending and debt protocols. We are open to both Senior level and Architect level candidates for this role. Your Rhythm: Drive the architecture, technical design, and implementation of our backend infrastructure Build and maintain low latency indexing infrastructure Build and maintain our offline and online data analytic pipelines that power our trading and risk engines Lead code reviews, providing constructive feedback and ensuring adherence to established coding standards and best practices Your Vibe: 6+ years of professional software engineering experience 2+ years of experience working on backends interacting with blockchains in production environments 5+ years of experience working with a modern backend languages (Go, Rust, Python, etc) in distributed architectures Strong knowledge around DeFi products Open to collaborating onsite a few days a week at our downtown SF office Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

We are actively searching for a Founding Senior Backend Engineer to join our team on a permanent basis. In this position you will lead the design and development of our backend infrastructure that powers our protocol (think everything off-chain). If you are someone that is impressed with what Hyperliquid has accomplished then this role is for you. We are on a mission to build next generation lending and debt protocols. We are open to both Senior level and Architect level candidates for this role. Your Rhythm: Drive the architecture, technical design, and implementation of our backend infrastructure Build and maintain low latency indexing infrastructure Build and maintain our offline and online data analytic pipelines that power our trading and risk engines Lead code reviews, providing constructive feedback and ensuring adherence to established coding standards and best practices Your Vibe: 6+ years of professional software engineering experience 2+ years of experience working on backends interacting with blockchains in production environments 5+ years of experience working with a modern backend languages (Go, Rust, Python, etc) in distributed architectures Strong knowledge around DeFi products Open to collaborating onsite a few days a week at our downtown SF office Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

We are actively searching for a Founding Senior Backend Engineer to join our team on a permanent basis. In this position you will lead the design and development of our backend infrastructure that powers our protocol (think everything off-chain). If you are someone that is impressed with what Hyperliquid has accomplished then this role is for you. We are on a mission to build next generation lending and debt protocols. We are open to both Senior level and Architect level candidates for this role. Your Rhythm: Drive the architecture, technical design, and implementation of our backend infrastructure Build and maintain low latency indexing infrastructure Build and maintain our offline and online data analytic pipelines that power our trading and risk engines Lead code reviews, providing constructive feedback and ensuring adherence to established coding standards and best practices Your Vibe: 6+ years of professional software engineering experience 2+ years of experience working on backends interacting with blockchains in production environments 5+ years of experience working with a modern backend languages (Go, Rust, Python, etc) in distributed architectures Strong knowledge around DeFi products Open to collaborating onsite a few days a week at our downtown SF office Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

We are looking for a talented and motivated Python Data Engineers. We need help expanding our data assets in support of our analytical capabilities in a full-time role. This role will have the opportunity to interface directly with our traders, analysts, researchers and data scientists to drive out requirements and deliver a wide range of data related needs. What you will do: - Translate business requirements into technical deliveries. Drive out requirements for data ingestion and access - Maintain the cleanliness of our Python codebase, while adhering to existing designs and coding conventions as much as possible - Contribute to our developer tools and Python ETL toolkit, including standardization and consolidation of core functionality - Efficiently coordinate with the rest of our team in different locations Qualifications - 6+ years of enterprise-level coding experience with Python - Computer Science, MIS or related degree - Familiarity with Pandas and NumPy packages - Experience with Data Engineering and building data pipelines - Experience scraping websites with Requests, Beautiful Soup, Selenium, etc. - Strong understating of object-oriented design, design patterns, SOA architectures - Proficient understanding of peer-reviewing, code versioning, and bug/issue tracking tools. - Strong communication skills - Familiarity with containerization solutions like Docker and Kubernetes is a plus

Job Title Network Deployment Engineer Corporate Title Associate As a Network Deployment Engineer, you will be responsible for designing and building new network environments that support critical business operations. You will manage network changes, troubleshoot issues using diagnostic tools, and coordinate with carriers and vendors for installations. Your contributions will directly impact the performance, scalability, and reliability of the organization's network infrastructure. You will also support both routine changes and large-scale projects across data centers, trading floors, and branch networks. What We Offer You A diverse and inclusive environment that embraces change, innovation, and collaboration A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days Employee Resource Groups support an inclusive workplace for everyone and promote community engagement Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits Educational resources, matching gift and volunteer programs What You'll Do Design and implement network solutions by leveraging existing standards and deploying new technologies as required Plan, document, and execute network changes across various environments Troubleshoot network issues using diagnostic tools such as Wireshark and coordinate with vendors for resolution Test and validate voice and data circuits, liaising with carriers for installations and upgrades Support network deployments for new locations and global initiatives involving high-volume financial systems Contribute to the rollout of new features and functionality across backbone, data center, and branch networks Skills You'll Need Knowledge of routing protocols such as Open Shortest Path First (OSPF), Enhanced Interior Gateway Routing Protocol (EIGRP), Border Gateway Protocol (BGP), and Routing Information Protocol (RIP) Experience with network hardware including F5 load balancers, Cisco routers, switches, and firewalls Familiarity with network security concepts including firewalls and proxy servers Certified technical engineer (e.g., Cisco Certified Network Professional) Hands-on experience in enterprise network environments, preferably within financial institutions Skills That Will Help You Excel Understanding of Information Technology Infrastructure Library (ITIL) principles and service management practices Operational knowledge of loop prevention protocols such as Spanning Tree Protocol Experience with Internet Protocol Telephony (IPT) implementation and troubleshooting Familiarity with Layer 2 protocols including Hot Standby Router Protocol (HSRP), Virtual Router Redundancy Protocol (VRRP), VLAN Trunking Protocol (VTP), IEEE 802.1Q, Flex Link, and Link Aggregation Control Protocol (LACP) Proficiency in Cisco operating systems such as Internetwork Operating System (IOS) and Nexus Operating System (NX-OS) Expectations It is the Bank's expectation that employees hired into this role will work in the Jacksonville office in accordance with the Bank's hybrid working model. Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion. The salary range for this position in Jacksonville is $60,000 to $86,000. Actual salaries may be based on a number of factors including, but not limited to, a candidate's skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration. Deutsche Bank Benefits At Deutsche Bank, we recognize that our benefit programs have a profound impact on our colleagues. That's why we are focused on providing benefits and perks that enable our colleagues to live authenti cally and be their whole selves, at every stage of life. We provide access to physical, emotional, and financial wellness benefits that allow our colleagues to stay financially secure and strike balance between work and home. Click here to learn more! Learn more about your life at Deutsche Bank through the eyes of our current employees *************************** The California Consumer Privacy Act outlines how companies can use personal information. If you are interested in receiving a copy of Deutsche Bank's California Privacy Notice please email ****************. #LI-HYBRID We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Click these links to view Deutsche Bank's Equal Opportunity Policy Statement and the following notices: EEOC Know Your Rights; Employee Rights and Responsibilities under the Family and Medical Leave Act; and Employee Polygraph Protection Act.

As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: Articulate and evangelize a bold technical vision for your domain Decompose complex problems into practical and operational solutions Ensure the quality of technical design and implementation Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability Continue learning and injecting advanced technical knowledge into our community Handle several projects simultaneously, balancing your time to maximize impact Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree At least 7 years of experience in General software At least 7 years of experience in Software engineering and Solution architecture Preferred Qualifications: 10+ years of professional experience coding in one of the following software engineering languages (Golang, Rust, JavaScript, Python or Java) 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support 5+ years of experience designing, building and operating large scale distributed systems 5+ years of experience with AWS 5+ years of experience with DevOps and AWS IaC 3+ years of experience with GraphQL technologies 3+ years of experience with Authentication and Authorization Technologies (implementing GraphQL security including fine grained authorizations, rate limiting , query complexity analysis) 3+ years of experience with SQL and NoSQL databases Experience operating with a Site Reliability (SRE) mindset and culture Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: Articulate and evangelize a bold technical vision for your domain Decompose complex problems into practical and operational solutions Ensure the quality of technical design and implementation Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability Continue learning and injecting advanced technical knowledge into our community Handle several projects simultaneously, balancing your time to maximize impact Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree At least 7 years of experience in General software At least 7 years of experience in Software engineering and Solution architecture Preferred Qualifications: 10+ years of professional experience coding in one of the following software engineering languages (Golang, Rust, JavaScript, Python or Java) 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support 5+ years of experience designing, building and operating large scale distributed systems 5+ years of experience with AWS 5+ years of experience with DevOps and AWS IaC 3+ years of experience with GraphQL technologies 3+ years of experience with Authentication and Authorization Technologies (implementing GraphQL security including fine grained authorizations, rate limiting , query complexity analysis) 3+ years of experience with SQL and NoSQL databases Experience operating with a Site Reliability (SRE) mindset and culture Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: Articulate and evangelize a bold technical vision for your domain Decompose complex problems into practical and operational solutions Ensure the quality of technical design and implementation Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability Continue learning and injecting advanced technical knowledge into our community Handle several projects simultaneously, balancing your time to maximize impact Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree At least 7 years of experience in General software At least 7 years of experience in Software engineering and Solution architecture Preferred Qualifications: 10+ years of professional experience coding in one of the following software engineering languages (Golang, Rust, JavaScript, Python or Java) 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support 5+ years of experience designing, building and operating large scale distributed systems 5+ years of experience with AWS 5+ years of experience with DevOps and AWS IaC 3+ years of experience with GraphQL technologies 3+ years of experience with Authentication and Authorization Technologies (implementing GraphQL security including fine grained authorizations, rate limiting , query complexity analysis) 3+ years of experience with SQL and NoSQL databases Experience operating with a Site Reliability (SRE) mindset and culture Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Thank you for stopping by to take a look at the Data Integration Engineer role I posted here on LinkedIN, I appreciate it. If you have read my s in the past, you will recognize how I write job descriptions. If you are new, allow me to introduce myself. My name is Tom Welke. I am Partner & VP at RSM Solutions, Inc and I have been recruiting technical talent for more than 23 years and been in the tech space since the 1990s. Due to this, I actually write JD's myself...no AI, no 'bots', just a real live human. I realized a while back that looking for work is about as fun as a root canal with no anesthesia...especially now. So, rather than saying 'must work well with others' and 'team mindset', I do away with that kind of nonsense and just tell it like it is. So, as with every role I work on, social fit is almost as important as technical fit. For this one, technical fit is very very important. But, we also have some social fit characteristics that are important. This is the kind of place that requires people to dive in and learn. The hiring manager for this one is actually a very dear friend of mine. He said something interesting to me not all that long ago. He mentioned, if you aren't spending at least an hour a day learning something new, you really are doing yourself a disservice. This is that classic environment where no one says 'this is not my job'. So that ability to jump in and help is needed for success in this role. This role is being done onsite in Irvine, California. I prefer working with candidates that are already local to the area. If you need to relocate, that is fine, but there are no relocation dollars available. I can only work with US Citizens or Green Card Holders for this role. I cannot work with H1, OPT, EAD, F1, H4, or anyone that is not already a US Citizen or Green Card Holder for this role. The Data Engineer role is similar to the Data Integration role I posted. However, this one is mor Ops focused, with the orchestration of deployment and ML flow, and including orchestrating and using data on the clusters and managing how the models are performing. This role focuses on coding & configuring on the ML side of the house. You will be designing, automating, and observing end to end data pipelines that feed this client's Kubeflow driven machine learning platform, ensuring models are trained, deployed, and monitored on trustworthy, well governed data. You will build batch/stream workflows, wire them into Azure DevOps CI/CD, and surface real time health metrics in Prometheus + Grafana dashboards to guarantee data availability. The role bridges Data Engineering and MLOps, allowing data scientists to focus on experimentation and the business sees rapid, reliable predictive insight. Here are some of the main responsibilities: Design and implement batch and streaming pipelines in Apache Spark running on Kubernetes and Kubeflow Pipelines to hydrate feature stores and training datasets. Build high throughput ETL/ELT jobs with SSIS, SSAS, and T SQL against MS SQL Server, applying Data Vault style modeling patterns for auditability. Integrate source control, build, and release automation using GitHub Actions and Azure DevOps for every pipeline component. Instrument pipelines with Prometheus exporters and visualize SLA, latency, and error budget metrics to enable proactive alerting. Create automated data quality and schema drift checks; surface anomalies to support a rapid incident response process. Use MLflow Tracking and Model Registry to version artifacts, parameters, and metrics for reproducible experiments and safe rollbacks. Work with data scientists to automate model retraining and deployment triggers within Kubeflow based on data freshness or concept drift signals. Develop PowerShell and .NET utilities to orchestrate job dependencies, manage secrets, and publish telemetry to Azure Monitor. Optimize Spark and SQL workloads through indexing, partitioning, and cluster sizing strategies, benchmarking performance in CI pipelines. Document lineage, ownership, and retention policies; ensure pipelines conform to PCI/SOX and internal data governance standards. Here is what we are seeking: At least 6 years of experience building data pipelines in Spark or equivalent. At least 2 years deploying workloads on Kubernetes/Kubeflow. At least 2 years of experience with MLflow or similar experiment‑tracking tools. At least 6 years of experience in T‑SQL, Python/Scala for Spark. At least 6 years of PowerShell/.NET scripting. At least 6 years of experience with with GitHub, Azure DevOps, Prometheus, Grafana, and SSIS/SSAS. Kubernetes CKA/CKAD, Azure Data Engineer (DP‑203), or MLOps‑focused certifications (e.g., Kubeflow or MLflow) would be great to see. Mentor engineers on best practices in containerized data engineering and MLOps.

Extensive knowledge on various Azure services. Strong Knowledge of Dara Warehouse Concepts. Extensive hands-on experience working with data using SQL. Abilities to write complex queries in line with the business requirements. Experience developing data pipelines in Databricks. Prior experience of programming language (Preferred Python). Hands on experience using version control systems like GIT. Experience with creating project plans, technical design documents, training documents and presenting solutions to the end users. Base Salary Range: $100,000 - $130,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Distinguished Engineer In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. This is a unique opportunity to be the key technical force behind a CEO-visible initiative at the heart of Capital One's long-term risk management strategy. As the senior-most engineer reporting directly to the Senior Director, you will be the lead technical expert for Core Compliance. You will actively participate in and support a fundamental transformation: moving from traditional spot-checking to an "always-on," continuous monitoring ecosystem for our internal processes. You will partner closely with the engineering manager and team responsible for delivery, providing the deep technical guidance to solve their most complex challenges. Furthermore, you will be at the epicenter of our practical application of Generative AI. This team launched Capital One's first production-level GenAI use cases, and has many more in the pipeline. You will not just oversee these rollouts but actively accelerate our adoption, setting the pattern for how we apply these powerful new technologies to solve critical business problems. As a seriously great software engineer, you will contribute by leading from the front, focusing on hands-on technical execution to solve our most complex challenges. You will personally write code, build prototypes, and lead the design for our most critical systems, rotating between leading projects from inception to production and diving into areas of need to get them to the finish line. A core part of your role will be to partner with leadership to drive the technical strategy for our pioneering GenAI work, leading its hands-on implementation. You will use your deep expertise in AWS and our internal infrastructure to relentlessly push us to improve our tooling and delivery speed. In all of this, you will act as a role model and coach, investing deeply in mentoring other engineers and championing our culture. We're looking for a leader with a distinct bias for action and a deep sense of ownership. You are a hands-on technologist who thrives in the trenches and is a pragmatic problem-solver, with a proven ability to translate ambiguous, high-stakes business challenges into concrete, executable technical plans. This technical skill is matched by an obsession with customer and business results, always starting with the user and working backward to deliver measurable impact. Distinguished Engineers are: Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates. They set the architecture and technical strategy for the domain Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience with application architecture and design patterns At least 5 years of experience with architectural patterns (SOA), building APIs, microservices, event streams, and high throughput systems Preferred Qualifications: Master's Degree in Computer Science or a Master's Degree in Software Engineering 10+ years of experience of working with business leaders on the implications of architectural decisions 4+ years building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems (AWS, GCP or Azure) 5+ years experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar 12+ years of experience in software engineering, with focus on designing and implementing enterprise-level systems 10+ years of experience with enterprise architecture, software architecture, and design patterns 3+ years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Strong proficiency in modern programming languages and data processing frameworks 3+ years of experience with Data strategy, AI and ML Technologies AWS Solution Architect - Professional or Associate Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $263,900 - $301,200 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. About the team: Capital One's Card Decisioning team is responsible to enable our business to manage risk and drive business value across the customer lifecycle by providing real-time, accurate , secure and AI powered decision-making solutions for customer transactions, fraud detection, alerts, credit inquiries and applications across card, lending and banking products. In this role, you will work with our decisioning platform team to provide architectural guidance and technical leadership to help build a destination platform for capital one. You will be a thought leader in this space to ensure we are building a world class platform that is scalable, resilient, multi-tenant and can support a variety of use cases. You will work with other Distinguished Engineers to detail out high level designs and help Software engineers develop and engineer the products as envisioned . You will be responsible to help the teams with setting up the best in the industry engineering culture and developer experience . Additionally, you will provide mentorship and strategic guidance to our engineer, product, and leadership groups. Key responsibilities: Articulate and evangelize a bold technical vision for your domain Decompose complex problems into practical and operational solutions Ensure the quality of technical design and implementation Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability Continue learning and injecting advanced technical knowledge into our community Handle several projects simultaneously, balancing your time to maximize impact Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Basic Qualifications Bachelor's Degree At least 7 years of experience in Software Engineering At least 5 years of experience with large, distributed systems At least 5 years of experience with public cloud technologies Preferred Qualifications: Bachelor's or Master's Degree in Computer Science or a related field 12+ years of experience in software development 10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript/TypeScript, Swift, etc. (Java and Python preferred) 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $239,900 - $273,800 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Role: Data Governance Engineer Experience Required - 6+ Years Must Have Technical/Functional Skills • Understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience. • 2 - 5 years of Data Quality Management experience. • Intermediate competency in SQL & Python or related programming language. • Strong familiarity with data architecture and/or data modeling concepts • 2 - 5 years of experience with Agile or SAFe project methodologies Roles & Responsibilities • Assist in identifying data-related risks and associated controls for key business processes. Risks relate to Record Retention, Data Quality, Data Movement, Data Stewardship, Data Protection, Data Sharing, among others. • Identify data quality issues, perform root-cause-analysis of data quality issues and drive remediation of audit and regulatory feedback. • Develop deep understanding of key enterprise data-related policies and serve as the policy expert for the business unit, providing education to teams regarding policy implications for business. • Responsible for holistic platform data quality monitoring, including but not limited to critical data elements. • Collaborate with and influence product managers to ensure all new use cases are managed according to policies. • Influence and contribute to strategic improvements to data assessment processes and analytical tools. • Responsible for monitoring data quality issues, communicating issues, and driving resolution. • Support current regulatory reporting needs via existing platforms, working with upstream data providers, downstream business partners, as well as technology teams. • Subject matter expertise on multiple platforms. • Responsible to partner with the Data Steward Manager in developing and managing the data compliance roadmap. Generic Managerial Skills, If any • Drives Innovation & Change: Provides systematic and rational analysis to identify the root cause of problems. Is prepared to challenge the status quo and drive innovation. Makes informed judgments, recommends tailored solutions. • Leverages Team - Collaboration: Coordinates efforts within and across teams to deliver goals, accountable to bring in ideas, information, suggestions, and expertise from others outside & inside the immediate team. • Communication: Influences and holds others accountable and has ability to convince others. Identifies the specific data governance requirements and is able to communicate clearly and in a compelling way. Interested candidates please do share me your updated resume to ******************* Salary Range - $100,000 to $120,000 per year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.