Requirements Engineer jobs at Cree

Our team owns the Client Management Systems, Application infrastructure, and Collaboration tools globally for Amazon. We build complex multi-platform solutions that help our customers get more done whilst improving their user experience. We are looking for Systems Engineer with a mac OS-focused infrastructure and development background. We are using AWS products to evolve traditional enterprise tools and services at a large scale. If you are passionate about AWS and have experience automating large-scale mac OS infrastructure deployments, keep reading. In this role, you and your team will directly influence the mac OS end-point management at Amazon. You will use native AWS services, external 3rd party services and DevOps patterns to manage a growing fleet of mac OS client devices. We are looking for a motivated team member to deliver results to our customers. This is a hands-on position where your daily activities will range from new system development to supporting the customers that depend on your services. You will use AWS products and DevOps patterns to build the next generation of mac OS-based management tools. Key job responsibilities · Contribute to automation efforts for a team advancing a service ownership culture with a primary focus on the mac OS clients · Embrace the AWS ecosystem and drive innovation on top of it · Instill a culture that drives DevOps, holds a high-quality bar with code reviews, drives automation efforts to empower, and removes barriers for your team · Translation of complex functional and technical requirements into detailed architecture and design · Working with others on the engineering team to participate in day-to-day development activities, contributing to architecture decisions, participating in designs, design reviews, and implementation. · Build services that can scale across hundred of thousands clients used by Amazonians worldwide · Deliver quality features on-time and on-budget and execution against project plans and delivery commitments. · Maintain current technical knowledge of rapidly changing technology, always on the lookout for new technologies, and work with management and development teams to evolve current processes. A day in the life Review change requests and prioritize OS configuration tasks. Attend team meetings to discuss ongoing projects and challenges. Test new configurations in sandbox environments, documenting issues and collaborating with the security team. Prepare and execute deployment plans, starting with non-critical systems. Monitor deployments, troubleshoot issues, and make necessary adjustments. Respond to urgent configuration problems as they arise. Stay updated on OS patches and maintain accurate documentation. Prepare reports on deployment progress and plan future rollouts. Balance proactive improvements with reactive problem-solving to ensure optimal system performance. Continuously update knowledge and skills to keep pace with evolving OS technologies. BASIC QUALIFICATIONS- 4+ years of site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration experience - Bachelor's degree in Systems Engineering, Computer Science, or related field or relevant work experience - Experience in site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration - Experience in systems engineering - Experience in any of the following: Python, Java, Perl, PHP, Ruby, Bash, Shell or equivalent - 5+ years of engineering work managing large-scale services experience PREFERRED QUALIFICATIONS- Knowledge of TCP/IP and networking protocols such as HTTP and DNS - Experience designing and developing scripts to automate operational burdens and reviewing scripting changes to ensure they meet the standards for maintainability, scalability and security - Experience working in 24/7 production environment - Knowledge of configuration management systems, such as Puppet, Chef, Ansible, or related systems - 7+ Years mac OS administration at scale Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $94,000/year in our lowest geographic market up to $207,900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Job Title: F5 Engineer Duration: 18 Month W2 Contract Required Pay Scale: $60-$70/hour Face to Face INTERVIEW REQUIRED; ONE AND DONE! F5 Engineers Senior Load balancer engineer required to build complex solutions for the client's applications Responsibilities include: - Perform various load balancer changes in accordance with project requirements. - This includes building new configurations, such as new VIPs, and or WideIP setups - Modifying existing setups and troubleshooting application traffic issues flowing through load balancers Main points of contact: - Project managers - Peers on his team for design peer review - Escalations to team lead and manage when necessary Expert level on F5 Load balancing LTM GTM Expert on F5 iRules control traffic flows and manipulate headers Strong understanding of TCP/IP network communications Need good experience with F5 (GTM, LTM, SSL offloading) -L2/L3 support experience -Good routing and switching experience -Strong DNS experience -Need Load Balancing SME ; Good experience with load balancing options and features including OneConnect, Persistence, SSL and HTTP. Also need experience with C -Good experience with iRules and/or iControls -Experience with Capacity/threshold management and workload management Senior Load balancer engineer required to build complex solutions for Bank of America's applications Expert level on F5 Lad balancing LTM GTM, Python needed Expert on F5 iRules control traffic flows and manipulate headers Strong understanding of TCP/IP network communications Understanding of programming skills including Python, JAVA, TCL, Javascript, JQuery, Perl Strong communication skills to work with project managers and solution architects on deliverables About Matlen Silver Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works. Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at: ********************* // ************ At The Matlen Silver Group, Inc., W2 employees are eligible for the following benefits: Health, vision, and dental insurance (single and family coverage) 401(k) plan (employee contributions only)

We are seeking an experienced Machine Learning Engineer with 7+ years of hands-on expertise in developing and deploying ML models. The ideal candidate will have strong proficiency in Python, deep knowledge of ML algorithms, and experience in building scalable data pipelines. You will work on cutting-edge projects involving NLP, Deep Learning, and Large Language Models (LLMs), while collaborating with cross-functional teams to deliver impactful AI solutions. Key Responsibilities: Design, develop, and deploy Machine Learning models using Python. Build and optimize data pipelines for high-volume, high-dimensional datasets. Implement REST API integration for ML models to enable seamless consumption. Perform data preprocessing using tools like Pandas, NumPy, etc. Analyze complex datasets to extract insights and improve model performance. Collaborate with stakeholders to understand business requirements and translate them into ML solutions. Required Skills: 7+ years of hands-on experience in ML model development and deployment. Strong proficiency in Python and ML frameworks such as TensorFlow or PyTorch. Solid understanding of ML algorithms and statistical modeling. Experience in data preprocessing and feature engineering. Knowledge of REST API integration for ML models. Preferred Skills: Experience with NLP and Deep Learning techniques. Exposure to Transformers and Large Language Models (LLMs). Familiarity with Cloud ML platforms (Azure AI, AWS SageMaker). Experience with SQL/NoSQL databases. Life at Capgemini: Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Employee Resource Groups Disaster Relief Disclaimer: Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please get in touch with your recruiting contact. Click the following link for more information on your rights as an Applicant **************************************************************************

Plumbing Engineer-in-Training (EIT I) - Design the Systems That Keep Buildings Flowing Are you passionate about designing essential systems that bring buildings to life? We're seeking a motivated Plumbing Engineer-in-Training (0-2 years of experience) to join a collaborative MEP (Mechanical, Electrical, and Plumbing) engineering team. In this role, you'll contribute to designing innovative and sustainable plumbing systems for educational, commercial, and institutional projects. You'll gain hands-on experience working with senior engineers, learning the full design process-from concept to construction-while building a strong foundation for your professional growth. Key Responsibilities Assist in the design and documentation of plumbing systems, including domestic water, sanitary waste, storm drainage, and fire protection. Perform engineering calculations and support the production of AutoCAD and Revit drawings. Review shop drawings, RFIs, and submittals related to plumbing system design. Conduct field observations to verify installations and ensure alignment with design intent. Collaborate with cross-discipline teams to deliver high-quality, coordinated construction documents. Requirements Bachelor's degree in Mechanical Engineering or a related field. Successful completion of the Fundamentals of Engineering (F.E.) exam. Certified or eligible for certification as an Engineer-in-Training (EIT). Excellent attention to detail, organization, and problem-solving skills. Ability to manage multiple projects while collaborating effectively in a team environment. Preferred Qualifications Familiarity with AutoCAD, Revit, Bluebeam, and Microsoft Office Suite. Working knowledge of plumbing and mechanical codes (Uniform Plumbing Code, NFPA standards). Prior internship or experience in an MEP consulting environment. Understanding of water distribution, drainage, gas, and fire protection systems. What We Offer Competitive salary commensurate with experience. Comprehensive health insurance, 401(k), and paid holidays/PTO. Mentorship and professional development opportunities. Exposure to diverse and meaningful building projects. A collaborative, supportive team environment that values innovation and growth.

Full-time Charlotte, NC Qualifications You have operational experience with one or more of the following cicd tools - Jenkins, Octopus Deploy. 3+ years of experience is managing, maintaining and scaling a devops environment using Jenkins for large number of deployments. Experience with configuration management tools (Ansible, Puppet/Chef) Experience of Automating Infrastructure deployment Demonstrate hands on working knowledge with AWS and its services, including but not limited to EC2, S3, IAM, RDS, Python and Aurora Experience in Software-Defined-Networks, Software-Defined-Data-Centers, Virtual Private Clouds and other core network technology Experienced with DevOps and GitOps Experience with multiple cloud platforms (GCP or Azure) a plus Proactive, enthusiastic and ambitious Good team worker with excellent verbal and written communication skills

We are seeking an experienced and highly skilled Platform Lead to join our technology team. The ideal candidate will have a strong background in cloud infrastructure, automation, and platform engineering, with deep expertise in AWS services (EC2, RDS, S3, Lambda, Load Balancer, EKS, Encryption, Secrets Manager), Terraform, Git, and Python. As Platform Lead, you will architect, implement, and manage scalable, secure, and reliable cloud platforms to support our business objectives. Key Responsibilities: Lead the design, implementation, and management of cloud infrastructure using AWS services such as EC2, RDS, S3, Lambda, Load Balancer, EKS, Encryption, and Secrets Manager. Develop and maintain infrastructure as code solutions using Terraform. Build automation scripts and tools in Python to streamline platform operations and deployments. Oversee platform reliability, scalability, and security, ensuring best practices are followed. Collaborate with software engineering, DevOps, and security teams to deliver robust cloud solutions. Manage CI/CD pipelines and version control using Git. Monitor, troubleshoot, and resolve platform issues, ensuring high availability and performance. Document architecture, processes, and procedures for platform operations. Mentor and guide team members, fostering a culture of technical excellence and continuous improvement. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 7+ years of professional experience in cloud platform engineering and development. Extensive hands-on experience with AWS services: EC2, RDS, S3, Lambda, Load Balancer, EKS, Encryption, and Secrets Manager. Proficiency in infrastructure as code using Terraform. Strong programming skills in Python. Experience with version control systems, especially Git. Solid understanding of cloud security, encryption, and secrets management. Proven track record in designing and operating scalable, reliable, and secure cloud platforms. Excellent problem-solving skills, attention to detail, and ability to communicate effectively with stakeholders. Experience with GenAI or AI/ML platforms is a plus.

Job Title: Java Backend Engineer (Low/Mid-Level Engineers) Duration : 3+ Months Contract to Hire Teams Meeting Interview Job Description: On w2 Only Job Duties and Responsibilities: Join a high-impact squad driving our client's enterprise platform modernization journey-designing and integrating innovative solutions that shape the future of their technology landscape. Leverage your full-stack development expertise to build robust, enterprise-grade applications and Java (Spring/Spring Boot). Collaborate within a dynamic, agile team environment while also taking ownership of individual deliverables to ensure the delivery of high-quality, scalable, and maintainable solutions. Experience Required: Bachelor's Degree or equivalent in a technology related field (e.g. Computer Science, Engineering, etc.) required. 5+ years of demonstrable experience in full stack programming building scalable applications 5+ years' experience with java spring-based frameworks and libraries preferably Spring boot 5+ years hands experience in cloud-based technologies, Microsoft Azure (Optional) 5+ years' hands-on experience working with messaging technologies Experience building and consuming REST API based integration and microservices architecture Understanding and experience working with CI/CD processes and tools such as Jenkins Experience with application testing frameworks like Junit Strong analytical, technical, and problem-solving skills to understand complex customer needs and transactions Skills/Knowledge and experience: Languages: Java 1.8/J2EE (Mandatory) Azure/Cloud (Optional) SOPA / REST Web Services (API) Mandatory) Sprint Boot, Hibernate (Mandatory) Apache Struts (Mandatory) (Critical) PL/SQL (Optional) UI Technologies: JavaScript, Angular 14+ (Optional) Application Server: Tomcat/TC Server Databases: Good understanding and experience on RDBMS (Optional) Methodology: Agile Others: Prior experience on large scale IT Transformational Projects (Migration, Modernization) is plus

Role: Servicenow Developer Keywords : Servicenow Workflows, Service Catalog, REST/SOAP API, IntegrationHub, Flow Designer ● Experience Supporting technical implementation of various ServiceNow modules such as Change Management, Incident Management, Problem Management and Service Catalog. ● Configure and enhance the Service Catalog, including request forms, catalog items, and fulfillment processes. ● Utilize IntegrationHub for building and managing complex integrations. ● Develop and maintain solutions using Flow Designer for process automation. ● Proven experience with ServiceNow Workflows development and customization.

📌 Job Title: ServiceNow ITSM / Platform Admin & Engineer 💼 Employment Type: Contract (W2 Only) About the Role We are seeking a highly experienced ServiceNow ITSM / Platform Admin & Engineer to design, implement, and manage complex ServiceNow environments. This role requires deep hands-on expertise in ServiceNow ITSM modules, platform architecture, integrations, and the latest innovations such as Virtual Agent, Now Assist, and custom GenAI workflows. The ideal candidate will have a strong understanding of ITIL processes, technical architecture, and the ability to lead end-to-end ServiceNow initiatives that enhance service delivery and user experience. Required Skills & Qualifications 12+ years of overall IT experience, including 5-8+ years in ServiceNow administration, development, or architecture. Strong hands-on experience with ServiceNow ITSM modules or platform administration. Proficiency in JavaScript, HTML, CSS, Glide API, and ServiceNow scripting. Deep understanding of ServiceNow architecture, MID Server, high availability, and disaster recovery. Experience in designing and deploying complex ServiceNow solutions, including Virtual Agent, Now Assist, and GenAI workflows. Solid understanding of ITIL processes and frameworks. Experience with ServiceNow integrations and third-party tool connectivity. Excellent problem-solving, analytical, and stakeholder management skills. Experience working in Agile/Scrum teams. Nice to Have ServiceNow Certified System Administrator (CSA) and/or Certified Implementation Specialist - ITSM (CIS-ITSM). Experience with additional ServiceNow modules such as ITOM, ITAM, CSM, or HRSD. Familiarity with Flow Designer, IntegrationHub, Performance Analytics, and other advanced ServiceNow capabilities.

We are looking for a talented UI engineer to explore new initiatives with the AiDP Frameworks team. On the team you will investigate new component library frameworks, and enable new ways of building UI with AI agents. The Frameworks team builds and maintains the Bricks component library. Bricks is a multi-framework component library built with Web Components and the Stencil framework. We are looking to understand potential alternatives to Stencil for managing a highly used component library that works across the most popular UI frameworks Responsibilities: Investigate cross-platform component library technologies and build proof-of-concept applications to evaluate their features and limitations. Implement and enhance a component library-based MCP (Model Context Protocol) server. Architect and develop multi-step AI agents that integrate with UI component libraries and frameworks. Ensure AI agents are reliable, scalable, and cost-optimized for high-volume environments. Produce comprehensive technical analyses comparing frameworks and provide actionable recommendations. Work independently to deliver high-quality, well-tested code. Qualifications: Web Components: At least 1 year AI Agents MCP (Model Context Protocol) Responsive Design: 2-5 years TypeScript: 2-5 years HTML/CSS/JavaScript: 2-5 years Component Libraries: At least 1 year Nice to Have: ReactJS: At least 1 year Vue.js: At least 1 year AngularJS: At least 1 year Sass/Scss: At least 1 year Accessibility: At least 1 year Stencil.js: At least 1 year

Hi Job Title: Snowflake Data Engineering with AWS, Python and PySpark Duration: 12 months Required Skills & Experience: • 10+ years of experience in data engineering and data integration roles. • Experts working with snowflake ecosystem integrated with AWS services & PySpark. • 8+ years of Core Data engineering skills - Handson on experience with Snowflake ecosystem + AWS experience, Core SQL, Snowflake, Python Programming. • 5+ years Handson experience in building new data pipeline frameworks with AWS, Snowflake, Python and able to explore new ingestion frame works. • Handson with Snowflake architecture, Virtual Warehouses, Storage, and Caching, Snow pipe, Streams, Tasks, and Stages. • Experience with cloud platforms (AWS, Azure, or GCP) and integration with Snowflake. • Snowflake SQL and Stored Procedures (JavaScript or Python-based). • Proficient in Python for data ingestion, transformation, and automation. • Solid understanding of data warehousing concepts (ETL, ELT, data modeling, star/snowflake schema). • Hands-on with orchestration tools (Airflow, dbt, Azure Data Factory, or similar). • Proficiency in SQL and performance tuning. • Familiar with Git-based version control, CI/CD pipelines, and DevOps best practices. • Strong communication skills and ability to collaborate in agile teams. If interested, Please share below details with update resume: Full Name: Phone: E-mail: Rate: Location: Visa Status: Availability: SSN (Last 4 digit): Date of Birth: LinkedIn Profile: Availability for the interview: Availability for the project:

Role : Gen AI Engineer with GCP Contract Must have : Gen AI , LLM , RAG , MLOps , Vertex AI ,GCP exp Design and build end-to-end AI/ML systems and applications, from experimentation and data preprocessing to production deployment. Implement and optimize Generative AI models (text, image, multimodal) and integrate capabilities like Retrieval-Augmented Generation (RAG) and prompt engineering strategies to enhance LLMs with external knowledge sources. Leverage a wide range of GCP services, including Vertex AI, Big Query, Cloud Run, GKE (Google Kubernetes Engine), Dataflow, and Pub/Sub, to build, train, and deploy custom AI models and solutions. Manage the entire model lifecycle, including training, evaluation, fine-tuning, versioning, deployment, and monitoring performance in production environments. Optimize models and systems for improved performance, scalability, efficiency, and cost, implementing techniques like model quantization and GPU memory optimization. Build and maintain scalable and reliable ML pipelines using MLOps practices, employing tools like Docker and Kubernetes for containerization and CI/CD pipelines for automated deployment. Document technical designs, processes, and best practices, and potentially mentor junior team members

Hi, We have a position which is suitable to your skillset. Please go through the below JD and let me know your interest. Title : IVR/ Google CCAI Engineer Duration : 12 months Relevant Experience (in Yrs.): 5+ years Detailed Job Description: Must Have skills : Java and VXML/IVR Preferred skills : Java, VXML/IVR, Spring boot, Google CCAI, SQL, Nuance Speech Recognizer, WebLogic, Microservices Thanks & Regards Venkatesh Kundurthi Team Lead || ASCII Group, LLC Office: ************** Ext. 104; Direct: *************** 38345 W. 10 Mile Rd, Ste.#365; Farmington, MI 48335 Email: ********************** Website: ******************

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge We are seeking a highly experienced and innovative Senior AI/ML Engineer with industry expertise to lead the development of scalable machine learning systems. In this pivotal role, there will be architecture and implementation of advanced AI solutions, guide strategic AI initiatives, and collaboration with cross-functional teams to drive innovation. The technical leadership will be instrumental in shaping our AI roadmap and delivering state-of-the-art models and systems. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $135k - $145k/year & benefits (see below). The Role Responsibilities: Design, develop, and optimize scalable machine learning systems capable of handling large-scale data and complex models. Develop advanced statistical models to solve complex business problems. Lead the deployment of ML models into production environments with robustness and efficiency. Integrate models seamlessly with REST APIs for application integration. Provide technical guidance and strategic direction for AI initiatives across teams. Stay abreast of the latest AI/ML research, especially in NLP, deep learning, and large language models. Mentor junior team members and promote best practices in AI engineering. Collaborate with data engineers, software developers, and product teams to align AI solutions with business goals. Requirements: Proven experience designing scalable ML systems and architectures. Strong expertise in advanced statistical modeling techniques. Deep experience in model development and deployment pipelines. Proficiency in integrating ML models with REST APIs. Hands-on experience with cloud ML platforms, such as AWS SageMaker or Azure AI. Preferred, but not required: In-depth experience with Natural Language Processing (NLP), deep learning, and transformer-based models. Demonstrated leadership in formulating and executing AI strategies within organizations. Knowledge of the latest AI frameworks, including Transformers and Large Language Models (LLMs). We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 21 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture.

Auto Desk Upgrade Lead planning, execution and validation of Autodesk Vault upgrade Collaborate with engineering CAD, and IT Team to support Vault upgrade roadmap. Ensure robust data migration, backup and recovery strategies. Conduct required validation after upgrade Document upgrade procedures and train end user as needed. Coordinate with Autodesk support for unresolved upgrade related issues. SCCM Package deployment: Validation SCCM packages work as expected. Investigate/resolve any installation failures after package installation. Monitor deployment success rates and troubleshoot issues. Track and resolve user- reported bugs or regressions introduced during the upgrade. Support rollback or contingency plans if critical issues arises. Manage Vault user roles, permissions, and access controls. Support CAD teams with Vault- related workflows. Manually install/updates SCCM for some applications.

DL Software produces Godel, a financial information and trading terminal. Role Description This is a full-time, on-site role based in New York, NY, for a Data Engineer. The Data Engineer will design, build, and maintain scalable data systems and pipelines. Responsibilities include data modeling, developing and managing ETL workflows, optimizing data storage solutions, and supporting data warehousing initiatives. The role also involves collaborating with cross-functional teams to improve data accessibility and analytics capabilities. Qualifications Strong proficiency in Data Engineering and Data Modeling Mandatory: strong experience in global financial instruments including equities, fixed income, options and exotic asset classes Strong Python background Expertise in Extract, Transform, Load (ETL) processes and tools Experience in designing, managing, and optimizing Data Warehousing solutions

Our client is seeking a Data Engineer with hands-on experience in Web Scraping technologies to help build and scale a new scraping capability within their Data Engineering team. This role will work directly with Technology, Operations, and Compliance to source, structure, and deliver alternative data from websites, APIs, files, and internal systems. This is a unique opportunity to shape a new service offering and grow into a senior engineering role as the platform evolves. Responsibilities Develop scalable Web Scraping solutions using AI-assisted tools, Python frameworks, and modern scraping libraries. Manage the full lifecycle of scraping requests, including intake, feasibility assessment, site access evaluation, extraction approach, data storage, validation, entitlement, and ongoing monitoring. Coordinate with Compliance to review Terms of Use, secure approvals, and ensure all scrapes adhere to regulatory and internal policy guidelines. Build and support AWS-based data pipelines using tools such as Cron, Glue, EventBridge, Lambda, Python ETL, and Redshift. Normalize and standardize raw, vendor, and internal datasets for consistent consumption across the firm. Implement data quality checks and monitoring to ensure the reliability, historical continuity, and operational stability of scraped datasets. Provide operational support, troubleshoot issues, respond to inquiries about scrape behavior or data anomalies, and maintain strong communication with users. Promote data engineering best practices, including automation, documentation, repeatable workflows, and scalable design patterns. Required Qualifications Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. 2-5 years of experience in a similar Data Engineering or Web Scraping role. Capital markets knowledge with familiarity across asset classes and experience supporting trading systems. Strong hands-on experience with AWS services (S3, Lambda, EventBridge, Cron, Glue, Redshift). Proficiency with modern Web Scraping frameworks (Scrapy, BeautifulSoup, Selenium, Playwright). Strong Python programming skills and experience with SQL and NoSQL databases. Familiarity with market data and time series datasets (Bloomberg, Refinitiv) is a plus. Experience with DevOps/IaC tooling such as Terraform or CloudFormation is desirable.

Minimum 7 years of relevant work experience in data engineering, with at least 2 years in a data modeling. Strong technical foundation in Python, SQL, and experience with cloud platforms (Azure,). Deep understanding of data engineering fundamentals, including database architecture and design, Extract, transform and load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies. Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI). Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment.

Must Haves: Strong proficiency in Python; 5+ years' experience. Expertise in Fast API and microservices architecture and coding Linking python based apps with sql and nosql db's Deployments on docker, Kubernetes and monitoring tools Experience with Automated testing and test-driven development Git source control, git actions, ci/cd , VS code and copilot Expertise in both on prem sql dbs (oracle, sql server, Postgres, db2) and no sql databases Working knowledge of data warehousing and ETL Able to explain the business functionality of the projects/applications they have worked on Ability to multi task and simultaneously work on multiple projects. NO CLOUD - they are on prem Day to Day: Insight Global is looking for a Python Data Engineer for one of our largest oil and gas clients in Downtown Houston, TX. This person will be responsible for building python-based relationships between back-end SQL and NoSQL databases, architecting and coding Fast API and Microservices, and performing testing on back-office applications. The ideal candidate will have experience developing applications utilizing python and microservices and implementing complex business functionality utilizing python.