42 jobs found

Senior Full Stack Developer (Java, Spring Boot, React & GCP) Overview / Summary We are seeking an experienced Senior Full Stack Developer with strong expertise in Java, Spring Boot, React, and Google Cloud Platform (GCP). The ideal candidate will have 8+ years of IT experience, strong analytical and problem-solving abilities, and experience designing, developing, and maintaining scalable enterprise applications. The candidate should be comfortable contributing to architectural decisions, collaborating with cross-functional teams, and delivering high-quality software solutions across frontend, backend, and database layers. Key Responsibilities Design, develop, and maintain scalable full-stack applications across frontend, backend, and database layers. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Build and consume RESTful microservices using Java and Spring Boot. Develop responsive frontend applications using React, Redux, or Angular, along with HTML5 and CSS. Design, develop, and support cloud-native applications using Google Cloud Platform (GCP). Work with GCP services, including Compute Engine, Cloud Run, Cloud SQL, Cloud Storage, Pub/Sub, Cloud Functions, Memorystore for Redis, and application monitoring tools. Implement and manage infrastructure using Terraform and Infrastructure as Code (IaC) practices. Participate in system architecture and technical decision-making. Apply Test-Driven Development (TDD), Behavior-Driven Development (BDD), regression, and performance testing practices. Implement UI and end-to-end testing using Selenium, Cypress, or Playwright. Optimize application performance through JVM tuning and profiling. Execute API load and performance testing. Ensure code quality through established development practices, automated testing, and code reviews. Collaborate with product managers and engineering teams to break down requirements into production-ready user stories. Establish development best practices to improve efficiency and minimize technical risks. Use DevOps tools such as Jenkins, Tekton, SonarQube, Checkmarx, Fossa, and GitHub to support software development and deployment. Design, implement, and maintain enterprise CI/CD pipelines using Jenkins. Support automated testing, security scanning, and build/deployment troubleshooting. Establish and maintain frontend development standards, including accessible HTML5 and responsive CSS practices. Required Qualifications 8+ years of IT experience, including at least 6 years of software development experience. Bachelor's degree. Strong programming experience in at least one language, with practical experience in two coding languages or advanced expertise in one. Hands-on experience with Google Cloud Platform (GCP), including Cloud Run, GKE, Cloud Storage, Pub/Sub, Cloud SQL, and IAM. Strong proficiency in Java, including object-oriented programming, design patterns, code optimization, and troubleshooting. Extensive experience developing production-ready applications using Spring Boot, REST APIs, dependency injection, validation, exception handling, and automated testing. Strong experience developing responsive and reusable user interfaces using React, including hooks, state management, API integration, and component testing. Experience designing, developing, documenting, and consuming RESTful APIs. Understanding of HTTP methods, status codes, authentication, authorization, pagination, versioning, and error handling. Experience with acceptance testing, translating business requirements into test scenarios, and supporting user acceptance testing (UAT). Experience with Node.js and backend service development. Advanced knowledge of HTML5, semantic markup, accessibility, and responsive web standards. Strong CSS skills, including Flexbox, Grid, media queries, and modern CSS architecture. Hands-on experience designing and maintaining Jenkins CI/CD pipelines, including declarative Jenkinsfiles, automated testing, and security integrations. Experience using GitHub for source control, branching, pull requests, code reviews, and CI/CD workflows. Experience with automated UI and end-to-end testing frameworks such as Selenium, Cypress, or Playwright. Preferred Qualifications Experience with AI-assisted development. Experience with TypeScript and Node.js. Familiarity with CI/CD pipelines and automation. Knowledge of DevOps methodologies. Experience with Unix/Linux environments and Shell scripting. Experience with Docker and Kubernetes. Working knowledge of Redis. Experience with performance testing and application optimization. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

JOB TITLE: Artificial Intelligence Engineer JOB LOCATION: Boston, MA, WAGE RANGE : $85-$90 JOB NUMBER: Client-27-1044-EPS17-OTIS-135351, FY27_EOPSS_ITS87 JOB DESCRIPTION We are seeking an experienced cloud AI engineer who possesses deep expertise in cloud technologies, data engineering, AI/ML frameworks, infrastructure automation, and cloud security, along with a strong understanding of emerging AI technologies and industry best practices. The Cloud AI Engineer will play a critical role in accelerating AI adoption, improving operational efficiency, optimizing cloud investments, and enabling innovative, enterprise-scale AI solutions that drive business value. Proven experience architecting and implementing retrieval-augmented generation (RAG) solutions using vector databases, embedding models, semantic search, and enterprise knowledge repositories to deliver accurate, context-aware, and scalable generative AI applications. Strong knowledge of enterprise AI security practices, including identity and access management, data privacy, prompt injection mitigation, content filtering, responsible AI principles, and governance controls across AI Gateway, MCP, RAG, and agentic AI implementations. Experience in optimizing AI workloads through intelligent model selection, token usage management, caching, efficient retrieval strategies, latency reduction, and cloud resource optimization while maintaining application performance and reliability. Ability to integrate LLM-powered applications and AI agents with enterprise systems, cloud services, databases, and APIs using secure integration patterns, MCP-based tool connectivity, and event-driven architectures Implement technical efforts to design, build, and deploy AWS-hosted data solutions, including large-scale data processing pipelines, computationally intensive statistical modeling, and advanced analytics. Participate in all aspects of the software development lifecycle (SDLC) for AWS solutions, including planning, requirements gathering, development, automated testing, and quality assurance. Expertly troubleshoot incidents, identify root causes, fix and document complex issues, and implement preventive measures to ensure system stability. Educate cross-functional teams on the implementation of new cloud-based data initiatives, providing associated training and technical documentation when necessary. Demonstrate exceptional problem-solving skills, with a proven ability to see, predict, and resolve data bottlenecks or system issues before they impact business productivity. Utilize Terraform to provision, manage, and orchestrate AWS infrastructure and Snowflake resources efficiently. Oversee and implement upgrades, performance tuning, and access controls within Tableau Server/Cloud, ensuring seamless integration with AWS services and optimal dashboard performance. Configure and manage virtual compute resources ( AWS EC2 and Snowflake Virtual Warehouses), focusing on optimal configuration, sizing, elasticity, auto-scaling, and cost control. Implement and maintain rigorous security configurations, including AWS IAM, Snowflake Role-Based Access Control (RBAC), network policies, and Row/Column-level security to protect sensitive data. Perform data platform administrative functions across AWS and Snowflake, ensuring smooth operations, query optimization, storage management, and compliance with best practices. Configure and manage load balancing strategies and failover routing ( AWS ELB/Route 53) to ensure high availability and fault tolerance across data applications and BI endpoints. Design and manage AWS VPC networks, security groups, and private endpoints ( AWS PrivateLink) to ensure secure, efficient, and private connectivity between AWS, Snowflake, and Tableau. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

Description: About Sherman + Reilly Established in 1927, Sherman + Reilly is North America's leading manufacturer of transmission and distribution line-stringing equipment for the electric utility industry. From our Chattanooga headquarters, we design and build pullers, bullwheel tensioners, puller-tensioners, pilot line winders, underground pullers, reel trailers, reel stands, and stringing blocks, engineered for safety and built to last. Driven by a nearly century-long commitment to lineman safety and continuous innovation, we partner with the electric power industry to help meet the energy needs of the future. As part of Quanta Services, a leading infrastructure solutions provider for the electric power industry, we pair a nearly century-old brand with the scale and career opportunity of a large parent organization. Position Summary The Product Data Engineer (PDE) is responsible for the integrity, governance, and lifecycle management of all product-related data within the organization and report to the Program Manager. This role owns the structure and accuracy of the Engineering Bill of Materials (eBOM), part master data, technical drawings, and engineering change processes. Serving as the business data owner of SolidWorks PDM Professional (DocVault), the PDE is the authoritative source for product information across Engineering, Operations, Supply Chain, and SAP - ensuring that the right data is available, accurate, and accessible at every stage of product development and production. System administration of SolidWorks PDM Professional remains with the CAD/PDM Systems Administrator in IT. Key Responsibilities Product Data Governance Own and maintain the Engineering Bill of Materials (eBOM) for all active and new products Establish and enforce part numbering standards, naming conventions, and data entry guidelines Manage the accuracy of the SAP material master as it pertains to engineering data, ensuring alignment between engineering data and operational records Govern the release and revision status of all technical drawings, specifications, and product documents within SolidWorks PDM Professional Define and be responsible for the maintenance of data quality standards across SolidWorks PDM Professional (DocVault) and SAP Engineering Change Management Serve as the process owner for the Engineering Change Order (ECO) and Engineering Change Notice (ECN) processes Coordinate cross-functional review and approval of engineering changes with Engineering, Operations, Supply Chain, and Quality Ensure controlled, documented transition of design changes into production BOMs and SAP procurement records Maintain accuracy of revision history and audit trails for all product changes within SolidWorks PDM Professional SolidWorks PDM Professional Administration Serve as the administrator of data for SolidWorks PDM Professional (DocVault), including defining requirements for folder structure and data migration Coordinate with the CAD/PDM Systems Administrator on requirements, design input, and user acceptance testing for document workflows, revision states, and approval routing within the PDM Vault Own the data requirements for, and validate the accuracy of, the integration between SolidWorks PDM Professional and SAP (BOM and material master synchronization) Coordinate with the CAD/PDM Systems Administrator on system upgrades (including acceptance testing of upgrades), backups, and performance of the PDM environment Assist IT and the CAD/PDM Systems Administrator with requirements, user acceptance testing, and rollout of planned BOM comparison and synchronization tooling between SolidWorks PDM and SAP, including defining part name and content consistency rules and training users Train and support engineering staff on SolidWorks PDM Professional data standards and data processes Establish and document DocVault data governance procedures; train users on proper modeling, drawing, and eBOM maintenance protocols The CAD/PDM Systems Administrator retains final authority over PDM system configuration, permissions, workflows, upgrades, backups, and integrations. SAP Material Master & BOM Management Serve as the functional subject matter expert for product data within SAP (Business ByDesign today, S/4HANA Public Cloud planned) Manage SAP material master data and BOM structures, as it pertains to engineering data, ensuring data integrity and consistency across plant codes Partner with IT and SAP support teams to define data standards, migration requirements, and system improvements Establish and document SAP data governance procedures; train users on proper material master and BOM maintenance protocols Cross-Functional Collaboration Serve as the primary liaison between Engineering and Operations/Supply Chain on product data matters Support New Product Development (NPD) by establishing BOM structure and SAP/PDM data readiness milestones Participate in SAP continuous improvement initiatives as the subject matter expert for product and material data Reporting & Compliance Generate reports on data quality, change order cycle times, and BOM accuracy metrics Support audits and quality system requirements (e.g., ISO 9001) as they relate to document and data control Maintain compliance with internal configuration management policies and applicable regulatory requirements Operate within defined access and segregation-of-duties controls; request any elevated system access only through IT's standard approval process Requirements: Qualifications Education Bachelor's degree in Engineering, Manufacturing Technology, Industrial Technology, or a related technical discipline required Associate's degree with significant relevant experience may be considered in lieu of a four-year degree Experience 3-7 years of experience in product data management, configuration management, or a related engineering role within a manufacturing environment Direct, hands-on experience with SolidWorks PDM Professional (DocVault) required - including advanced user experience and familiarity with vault administration and workflow concepts Demonstrated experience managing Bills of Materials and engineering change processes Direct experience working within SAP (Business ByDesign and/or S/4HANA) required; experience with SAP material master and BOM management strongly preferred Experience supporting or participating in an SAP implementation or upgrade is a significant plus; S/4HANA Public Cloud experience is especially valued Experience using and managing data in SolidWorks Electrical is a significant plus Experience using company-approved AI assistants to aid in daily tasks, consistent with company data-handling policy is a significant plus Technical Skills Proficiency reading and interpreting engineering drawings, CAD models, and technical specifications Strong understanding of BOM structures (single-level, multi-level, eBOM vs. mBOM) and SAP BOM management Working knowledge of SolidWorks (CAD) sufficient to navigate assemblies, drawings, and file relationships within the PDM vault Working knowledge of SAP material master concepts: material types, MRP views, unit of measure, procurement types, and understanding of cost rollups (costing is Finance-owned) Proficient in Microsoft Office suite, particularly Excel for data analysis, mass upload preparation (loads performed through approved, logged templates), and reporting Competencies Exceptional attention to detail and commitment to data accuracy Strong organizational and process-orientation; comfortable building and enforcing standards Effective communicator across technical and non-technical audiences Collaborative by nature with the ability to influence without direct authority Continuous improvement mindset; proactively identifies gaps and drives resolution PREFERRED QUALIFICATIONS Experience in industrial equipment, capital goods, or specialty manufacturing Familiarity with ISO 9001 document control requirements Exposure to ISA-95 manufacturing hierarchy and integration concepts (MES/SAP/PDM layers) Understanding of rental or configured-to-order product models as they affect SAP BOM and material master structure SolidWorks PDM Professional certification a plus SAP certification (ByDesign or S/4HANA) a plus APICS CPIM or similar supply chain certification a plus WORK ENVIRONMENT This position is primarily office-based within the engineering environment, with regular interaction with the manufacturing floor and IT to support data accuracy and change management activities. Occasional travel to supplier or customer sites may be required. The role requires the ability to sit and work at a computer for extended periods. Total Rewards Sherman + Reilly offers a competitive total rewards package backed by the scale of Quanta Services, designed to support your financial, physical, and professional well-being: • Competitive base salary with annual performance-based bonus eligibility. • Comprehensive medical, dental, and vision coverage. • 401(k) retirement savings plan with company match. • Generous paid time off, paid holidays, and company-paid life and disability insurance. . click apply for full job details

Job Description Job Description Benefits: Bonus based on performance Competitive salary Employee discounts Java Full Stack Developer with Agentic AI Job Title: Software Engineer - Agentic AI / Full Stack Job Type: W2 Contract Visa Status: Genuine GC and US Citizens Location: Columbus, OH Client: Cognizant Job Summary We are seeking a skilled Software Engineer with experience in Agentic AI, Large Language Models (LLMs/SLMs), full-stack development, and cloud-native application engineering to build and deliver production-grade AI-powered solutions. The ideal candidate will have hands-on experience integrating AI capabilities into enterprise applications using technologies such as RAG, Model Context Protocol (MCP), and agent orchestration frameworks. This role combines modern frontend development with React and TypeScript/JavaScript, backend engineering using Java and Spring Boot, and scalable microservices deployed on AWS. You will collaborate with cross-functional teams to design, develop, deploy, and operate secure, reliable, and scalable AI-driven applications that solve real-world business problems. Required Skills & Qualifications Strong software engineering experience building and supporting production-grade applications. Hands-on experience with Agentic AI, LLMs/SLMs, RAG, MCP, and/or agent orchestration frameworks . Strong frontend development experience with React and TypeScript/JavaScript . Backend development experience using Java, Spring Boot, and microservices architecture . Experience designing and deploying applications on AWS . Hands-on experience with Docker, Kubernetes, serverless computing, and event-driven architectures . Experience developing and maintaining CI/CD pipelines using Jenkins, Spinnaker, or similar tools . Knowledge of automated testing, performance testing, and load testing practices. Experience with application monitoring and observability tools such as Splunk and Dynatrace . Strong problem-solving, analytical, communication, and collaboration skills. Ability to work effectively with cross-functional engineering and business teams. Preferred Qualifications Experience with Python for LLM engineering, data processing, automation, and developing lightweight services. Experience building AI evaluation frameworks, testing harnesses, or automated evaluation workflows. Familiarity with enterprise AI integration, secure application development, and production deployment of AI-powered solutions. Experience working in Agile development environments and delivering solutions at enterprise scale. What You'll Do in This Role You will help bridge the gap between AI innovation and production software engineering by building intelligent applications that combine modern AI capabilities, full-stack development, and scalable cloud infrastructure. If you enjoy solving complex engineering challenges and building reliable, AI-powered products, we encourage you to apply.

Description: About Sherman + Reilly Established in 1927, Sherman + Reilly is North America's leading manufacturer of transmission and distribution line-stringing equipment for the electric utility industry. From our Chattanooga headquarters, we design and build pullers, bullwheel tensioners, puller-tensioners, pilot line winders, underground pullers, reel trailers, reel stands, and stringing blocks, engineered for safety and built to last. Driven by a nearly century-long commitment to lineman safety and continuous innovation, we partner with the electric power industry to help meet the energy needs of the future. As part of Quanta Services, a leading infrastructure solutions provider for the electric power industry, we pair a nearly century-old brand with the scale and career opportunity of a large parent organization. Position Summary The Product Data Engineer (PDE) is responsible for the integrity, governance, and lifecycle management of all product-related data within the organization and report to the Program Manager. This role owns the structure and accuracy of the Engineering Bill of Materials (eBOM), part master data, technical drawings, and engineering change processes. Serving as the business data owner of SolidWorks PDM Professional (DocVault), the PDE is the authoritative source for product information across Engineering, Operations, Supply Chain, and SAP - ensuring that the right data is available, accurate, and accessible at every stage of product development and production. System administration of SolidWorks PDM Professional remains with the CAD/PDM Systems Administrator in IT. Key Responsibilities Product Data Governance Own and maintain the Engineering Bill of Materials (eBOM) for all active and new products Establish and enforce part numbering standards, naming conventions, and data entry guidelines Manage the accuracy of the SAP material master as it pertains to engineering data, ensuring alignment between engineering data and operational records Govern the release and revision status of all technical drawings, specifications, and product documents within SolidWorks PDM Professional Define and be responsible for the maintenance of data quality standards across SolidWorks PDM Professional (DocVault) and SAP Engineering Change Management Serve as the process owner for the Engineering Change Order (ECO) and Engineering Change Notice (ECN) processes Coordinate cross-functional review and approval of engineering changes with Engineering, Operations, Supply Chain, and Quality Ensure controlled, documented transition of design changes into production BOMs and SAP procurement records Maintain accuracy of revision history and audit trails for all product changes within SolidWorks PDM Professional SolidWorks PDM Professional Administration Serve as the administrator of data for SolidWorks PDM Professional (DocVault), including defining requirements for folder structure and data migration Coordinate with the CAD/PDM Systems Administrator on requirements, design input, and user acceptance testing for document workflows, revision states, and approval routing within the PDM Vault Own the data requirements for, and validate the accuracy of, the integration between SolidWorks PDM Professional and SAP (BOM and material master synchronization) Coordinate with the CAD/PDM Systems Administrator on system upgrades (including acceptance testing of upgrades), backups, and performance of the PDM environment Assist IT and the CAD/PDM Systems Administrator with requirements, user acceptance testing, and rollout of planned BOM comparison and synchronization tooling between SolidWorks PDM and SAP, including defining part name and content consistency rules and training users Train and support engineering staff on SolidWorks PDM Professional data standards and data processes Establish and document DocVault data governance procedures; train users on proper modeling, drawing, and eBOM maintenance protocols The CAD/PDM Systems Administrator retains final authority over PDM system configuration, permissions, workflows, upgrades, backups, and integrations. SAP Material Master & BOM Management Serve as the functional subject matter expert for product data within SAP (Business ByDesign today, S/4HANA Public Cloud planned) Manage SAP material master data and BOM structures, as it pertains to engineering data, ensuring data integrity and consistency across plant codes Partner with IT and SAP support teams to define data standards, migration requirements, and system improvements Establish and document SAP data governance procedures; train users on proper material master and BOM maintenance protocols Cross-Functional Collaboration Serve as the primary liaison between Engineering and Operations/Supply Chain on product data matters Support New Product Development (NPD) by establishing BOM structure and SAP/PDM data readiness milestones Participate in SAP continuous improvement initiatives as the subject matter expert for product and material data Reporting & Compliance Generate reports on data quality, change order cycle times, and BOM accuracy metrics Support audits and quality system requirements (e.g., ISO 9001) as they relate to document and data control Maintain compliance with internal configuration management policies and applicable regulatory requirements Operate within defined access and segregation-of-duties controls; request any elevated system access only through IT's standard approval process Requirements: Qualifications Education Bachelor's degree in Engineering, Manufacturing Technology, Industrial Technology, or a related technical discipline required Associate's degree with significant relevant experience may be considered in lieu of a four-year degree Experience 3-7 years of experience in product data management, configuration management, or a related engineering role within a manufacturing environment Direct, hands-on experience with SolidWorks PDM Professional (DocVault) required - including advanced user experience and familiarity with vault administration and workflow concepts Demonstrated experience managing Bills of Materials and engineering change processes Direct experience working within SAP (Business ByDesign and/or S/4HANA) required; experience with SAP material master and BOM management strongly preferred Experience supporting or participating in an SAP implementation or upgrade is a significant plus; S/4HANA Public Cloud experience is especially valued Experience using and managing data in SolidWorks Electrical is a significant plus Experience using company-approved AI assistants to aid in daily tasks, consistent with company data-handling policy is a significant plus Technical Skills Proficiency reading and interpreting engineering drawings, CAD models, and technical specifications Strong understanding of BOM structures (single-level, multi-level, eBOM vs. mBOM) and SAP BOM management Working knowledge of SolidWorks (CAD) sufficient to navigate assemblies, drawings, and file relationships within the PDM vault Working knowledge of SAP material master concepts: material types, MRP views, unit of measure, procurement types, and understanding of cost rollups (costing is Finance-owned) Proficient in Microsoft Office suite, particularly Excel for data analysis, mass upload preparation (loads performed through approved, logged templates), and reporting Competencies Exceptional attention to detail and commitment to data accuracy Strong organizational and process-orientation; comfortable building and enforcing standards Effective communicator across technical and non-technical audiences Collaborative by nature with the ability to influence without direct authority Continuous improvement mindset; proactively identifies gaps and drives resolution PREFERRED QUALIFICATIONS Experience in industrial equipment, capital goods, or specialty manufacturing Familiarity with ISO 9001 document control requirements Exposure to ISA-95 manufacturing hierarchy and integration concepts (MES/SAP/PDM layers) Understanding of rental or configured-to-order product models as they affect SAP BOM and material master structure SolidWorks PDM Professional certification a plus SAP certification (ByDesign or S/4HANA) a plus APICS CPIM or similar supply chain certification a plus WORK ENVIRONMENT This position is primarily office-based within the engineering environment, with regular interaction with the manufacturing floor and IT to support data accuracy and change management activities. Occasional travel to supplier or customer sites may be required. The role requires the ability to sit and work at a computer for extended periods. Total Rewards Sherman + Reilly offers a competitive total rewards package backed by the scale of Quanta Services, designed to support your financial, physical, and professional well-being: • Competitive base salary with annual performance-based bonus eligibility. • Comprehensive medical, dental, and vision coverage. • 401(k) retirement savings plan with company match. • Generous paid time off, paid holidays, and company-paid life and disability insurance. . click apply for full job details

Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). 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. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 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).

Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). 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. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 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).

Job Description Job Description Onyx Aerospace is seeking a Spacecraft Systems Engineer to support the development, integration, verification, and flight demonstration of an advanced satellite communications system . The engineer will work as part of an integrated team developing an end-to-end space communications capability that brings together a commercial spacecraft bus, communications payload, launch services, ground infrastructure, network operations, and mission operations . This is a spacecraft-focused systems engineering and integration position. The successful candidate will support spacecraft and payload requirements, interfaces, design trades, payload accommodation, verification, launch integration, commissioning, and on-orbit demonstration while working closely with spacecraft providers, payload suppliers, ground-system partners, launch providers, and customers. We are interested in both experienced spacecraft systems engineers and engineers with strong backgrounds in spacecraft subsystems, payload integration, vehicle integration, communications systems, integration and test, or spacecraft operations who are ready to take broader responsibility at the spacecraft and mission-system level. Candidates are not expected to be experts in every spacecraft subsystem or every aspect of satellite communications. However, successful candidates should have meaningful spacecraft or space-systems experience and be comfortable working across technical interfaces. Key Responsibilities Develop, allocate, interpret, and maintain spacecraft and communications payload requirements. Maintain requirements traceability across spacecraft, payload, ground, launch, and operational elements. Develop and maintain spacecraft-to-payload interface requirements, ICDs, interface definitions, and technical open items. Support spacecraft bus and payload accommodation trades involving mass, power, thermal, structural, RF, avionics, software, pointing, orbit, and operational constraints. Evaluate spacecraft platform compatibility with the communications payload and identify system-level impacts of design decisions. Coordinate technical interfaces among spacecraft providers, communications payload suppliers, ground-system partners, launch providers, customers, and other engineering organizations. Support satellite communications architecture and performance assessments in coordination with RF and communications specialists. Support spacecraft mission analysis, orbit and deployment concepts, commissioning, and operational planning. Support launch vehicle compatibility and spacecraft accommodation analyses, including mass properties, environments, interfaces, deployment, and launch processing. Support spacecraft systems engineering and technical integration for a satellite communications system. Develop and review verification and validation approaches, verification matrices, test plans, procedures, analyses, and objective evidence. Support payload and spacecraft integration, environmental testing, functional testing, and end-to-end communications system verification. Participate in technical interchange meetings, design reviews, test/readiness reviews, risk reviews, and customer technical reviews. Support launch and early mission activities, spacecraft commissioning, on-orbit checkout, and communications-system demonstration. Assist with anomaly investigation, root-cause analysis, corrective actions, and Minimum Qualifications Bachelor's degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Systems Engineering, or a closely related technical discipline. 3-10 years of relevant spacecraft, satellite, space-systems, or closely related aerospace engineering experience. Experience developing or managing technical requirements, interfaces, verification activities, integration activities, or engineering trades. Working knowledge of spacecraft subsystems and their interactions, including several of the following: communications/RF, avionics, electrical power, thermal, structures/mechanisms, GN&C, flight software, propulsion, or mission operations. Ability to read and interpret spacecraft specifications, interface control documents, drawings, test reports, requirements databases, and engineering analyses. Strong analytical, problem-solving, written, and verbal communication skills. Ability to coordinate effectively with engineering teams, suppliers, partners, and customers. U.S. Citizenship required. Ability to comply with applicable ITAR/EAR, CUI, cybersecurity, and government information-handling requirements. Preferred Qualifications Experience with satellite communications systems, communications payloads, or RF spacecraft systems . Experience in spacecraft systems engineering, spacecraft integration, payload integration, satellite communications, or a spacecraft subsystem discipline. Experience with commercial spacecraft buses and hosted or integrated payloads. Familiarity with S-, X-, Ku-, Ka-, or other satellite communications systems. Experience with payload accommodation analyses involving mass, power, thermal, structural, RF, pointing, software, or data interfaces. Experience with requirements-management or MBSE tools such as DOORS, Jama, Cameo, or equivalent. Experience with spacecraft verification and validation, qualification testing, acceptance testing, or verification closure. Experience supporting launch vehicle integration, mission analysis, launch-site processing, or spacecraft deployment. Familiarity with spacecraft commissioning, early-orbit operations, or on-orbit checkout. Experience supporting NASA, DoD, national security space, or commercial satellite programs. Participation in SRR, PDR, CDR, TRR, FRR, or similar formal technical reviews. Active or previously held U.S. Government security clearance. Ideal Candidate The strongest candidate will likely have depth in spacecraft engineering plus enough systems perspective to work across the satellite communications architecture . Relevant backgrounds could include Spacecraft Systems Engineer, Satellite Systems Engineer, Payload Integration Engineer, Spacecraft Integration Engineer, Communications Systems Engineer, RF Systems Engineer, Mission Systems Engineer, or a spacecraft subsystem engineer who has progressed toward vehicle-level integration . The Opportunity This role provides an opportunity to work on a satellite communications system as an integrated mission capability-not simply an individual spacecraft subsystem . The engineer will have visibility across the spacecraft bus, communications payload, launch interfaces, ground segment, and mission operations and will help carry the system from engineering development through integration, verification, launch, commissioning, and on-orbit demonstration. Additional Information Specific assignments and technical responsibilities will be based on the selected candidate's experience, technical expertise, and customer program requirements. This position may support programs contingent upon customer funding or contract award. Candidates must be able to satisfy applicable export control requirements, background investigations, and customer security requirements.

Job Description Job Description Onyx Aerospace is seeking a Spacecraft Systems Engineer to support the development, integration, verification, and flight demonstration of an advanced satellite communications system . The engineer will work as part of an integrated team developing an end-to-end space communications capability that brings together a commercial spacecraft bus, communications payload, launch services, ground infrastructure, network operations, and mission operations . This is a spacecraft-focused systems engineering and integration position. The successful candidate will support spacecraft and payload requirements, interfaces, design trades, payload accommodation, verification, launch integration, commissioning, and on-orbit demonstration while working closely with spacecraft providers, payload suppliers, ground-system partners, launch providers, and customers. We are interested in both experienced spacecraft systems engineers and engineers with strong backgrounds in spacecraft subsystems, payload integration, vehicle integration, communications systems, integration and test, or spacecraft operations who are ready to take broader responsibility at the spacecraft and mission-system level. Candidates are not expected to be experts in every spacecraft subsystem or every aspect of satellite communications. However, successful candidates should have meaningful spacecraft or space-systems experience and be comfortable working across technical interfaces. Key Responsibilities Develop, allocate, interpret, and maintain spacecraft and communications payload requirements. Maintain requirements traceability across spacecraft, payload, ground, launch, and operational elements. Develop and maintain spacecraft-to-payload interface requirements, ICDs, interface definitions, and technical open items. Support spacecraft bus and payload accommodation trades involving mass, power, thermal, structural, RF, avionics, software, pointing, orbit, and operational constraints. Evaluate spacecraft platform compatibility with the communications payload and identify system-level impacts of design decisions. Coordinate technical interfaces among spacecraft providers, communications payload suppliers, ground-system partners, launch providers, customers, and other engineering organizations. Support satellite communications architecture and performance assessments in coordination with RF and communications specialists. Support spacecraft mission analysis, orbit and deployment concepts, commissioning, and operational planning. Support launch vehicle compatibility and spacecraft accommodation analyses, including mass properties, environments, interfaces, deployment, and launch processing. Support spacecraft systems engineering and technical integration for a satellite communications system. Develop and review verification and validation approaches, verification matrices, test plans, procedures, analyses, and objective evidence. Support payload and spacecraft integration, environmental testing, functional testing, and end-to-end communications system verification. Participate in technical interchange meetings, design reviews, test/readiness reviews, risk reviews, and customer technical reviews. Support launch and early mission activities, spacecraft commissioning, on-orbit checkout, and communications-system demonstration. Assist with anomaly investigation, root-cause analysis, corrective actions, and Minimum Qualifications Bachelor's degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Systems Engineering, or a closely related technical discipline. 3-10 years of relevant spacecraft, satellite, space-systems, or closely related aerospace engineering experience. Experience developing or managing technical requirements, interfaces, verification activities, integration activities, or engineering trades. Working knowledge of spacecraft subsystems and their interactions, including several of the following: communications/RF, avionics, electrical power, thermal, structures/mechanisms, GN&C, flight software, propulsion, or mission operations. Ability to read and interpret spacecraft specifications, interface control documents, drawings, test reports, requirements databases, and engineering analyses. Strong analytical, problem-solving, written, and verbal communication skills. Ability to coordinate effectively with engineering teams, suppliers, partners, and customers. U.S. Citizenship required. Ability to comply with applicable ITAR/EAR, CUI, cybersecurity, and government information-handling requirements. Preferred Qualifications Experience with satellite communications systems, communications payloads, or RF spacecraft systems . Experience in spacecraft systems engineering, spacecraft integration, payload integration, satellite communications, or a spacecraft subsystem discipline. Experience with commercial spacecraft buses and hosted or integrated payloads. Familiarity with S-, X-, Ku-, Ka-, or other satellite communications systems. Experience with payload accommodation analyses involving mass, power, thermal, structural, RF, pointing, software, or data interfaces. Experience with requirements-management or MBSE tools such as DOORS, Jama, Cameo, or equivalent. Experience with spacecraft verification and validation, qualification testing, acceptance testing, or verification closure. Experience supporting launch vehicle integration, mission analysis, launch-site processing, or spacecraft deployment. Familiarity with spacecraft commissioning, early-orbit operations, or on-orbit checkout. Experience supporting NASA, DoD, national security space, or commercial satellite programs. Participation in SRR, PDR, CDR, TRR, FRR, or similar formal technical reviews. Active or previously held U.S. Government security clearance. Ideal Candidate The strongest candidate will likely have depth in spacecraft engineering plus enough systems perspective to work across the satellite communications architecture . Relevant backgrounds could include Spacecraft Systems Engineer, Satellite Systems Engineer, Payload Integration Engineer, Spacecraft Integration Engineer, Communications Systems Engineer, RF Systems Engineer, Mission Systems Engineer, or a spacecraft subsystem engineer who has progressed toward vehicle-level integration . The Opportunity This role provides an opportunity to work on a satellite communications system as an integrated mission capability-not simply an individual spacecraft subsystem . The engineer will have visibility across the spacecraft bus, communications payload, launch interfaces, ground segment, and mission operations and will help carry the system from engineering development through integration, verification, launch, commissioning, and on-orbit demonstration. Additional Information Specific assignments and technical responsibilities will be based on the selected candidate's experience, technical expertise, and customer program requirements. This position may support programs contingent upon customer funding or contract award. Candidates must be able to satisfy applicable export control requirements, background investigations, and customer security requirements.

Job Description Job Description Title: PTC - Journi - Performance Load Test Analyst Duration: 10/26/2026 - 06/30/2027 Work Hours: 40hrs/week Location: 2850 Turnpike Industrial Drive, Middletown, PA 17057 Position: Remote Minimum Experience/Skillset • 8+ years of overall IT testing experience. • 4+ years of hands-on performance/load testing experience. • Strong hands-on experience with NeoLoad (required). • Experience testing enterprise-scale applications with high transaction volumes. • Experience testing SAP systems, CRM platforms, analytics platforms and complex enterprise integrations. • Strong understanding of: o Load, stress, endurance, and scalability testing o API and middleware performance testing o Batch, mediation, analytics, and asynchronous processing validation Preferred / Additional Skills • Experience with SAP environments (SAP BRIM, S/4HANA, ECC). • Experience with SAP Convergent Mediation (CM) • Experience with SAP Datasphere • Experience testing CRM SAP bi-directional integrations • Experience testing CRM-to-ERP integrations. • Experience with tolling, transportation, or public-sector systems. • Experience with cloud or hybrid infrastructure performance testing. Certifications / Education • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field Required / Desired Skills Skill Required / Desired Amount of Experience Overall IT testing experience.Required8Years Hands-on performance/load testing experience.Required4Years Strong hands-on experience with NeoLoadRequired Experience testing enterprise-scale applications with high transaction volumes.Required Experience testing SAP systems, CRM platforms, analytics platforms and complex enterprise integrations.Required Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.Required

Job Description Job Description Job Description: Performance / Load Test Engineer Middletown,PA Remote Description of Duties SDLC & Quality Governance Follow organizational SDLC and quality governance processes to ensure performance readiness across all enterprise modernization program releases. Define performance testing strategy, scope, workloads, non-functional requirements, and acceptance criteria. Performance & Load Testing Execution Design and execute performance, load, stress, endurance, and scalability testing using NeoLoad across enterprise components, including: SAP BRIM (Convergent Charging, Convergent Invoicing, FI-CA, Subscription Billing) SAP Convergent Mediation (CM) for high-volume and event mediation processing SAP S/4HANA and supporting SAP modules SAP Datasphere for analytics, reporting, and data integration performance validation CRM applications (Dynamics CE customer service and case management workflows) Middleware and integration layers (APIs, batch interfaces, event-driven integrations) Customer-facing channels (web portals, mobile applications, IVR, chatbot) Simulate real-world enterprise workloads including transactional events, mediation events, billing cycles, payment processing, CRM interactions, analytics queries, batch jobs, and peak-volume scenarios. Validate system behavior under concurrent users, high-volume API traffic, batch processing, and large-scale SAP financial operations. Execute end-to-end performance testing of integrations between CRM and SAP systems, including: CRM SAP (billing requests, account updates, case-driven transactions) SAP CRM (financial updates, invoice status, customer data synchronization) Validation of synchronous and asynchronous integration patterns, APIs, message queues, and batch interfaces Monitoring, Analysis & Reporting Monitor performance metrics including response times, throughput, error rates, resource utilization, and system saturation points. Analyze test results across SAP, CRM, integration, analytics, and infrastructure layers to identify bottlenecks. Prepare detailed performance test reports, dashboards, and executive summaries with clear go/no-go recommendations. Tooling & Automation Develop, maintain, and execute performance test scripts using NeoLoad (required). Perform API, integration, and data-pipeline performance testing using NeoLoad capabilities. Integrate NeoLoad tests with CI/CD pipelines where applicable. Establish performance baselines and support release-to-release benchmarking and regression analysis. Collaboration & Delivery Support Support System Integration Testing (SIT), User Acceptance Testing (UAT), PI cycles, Show-backs, Go-Live, and Hypercare phases with rigorous performance validation. Promote performance testing best practices and continuous improvement across the program. Fully document all created work associated with this position, including technical and functional designs and diagrams, test plans, test scripts, impact analysis reports, lessons learned, and best practices. All documentation shall follow standard organizational templates. Adhere to all established IT standards, policies, and procedures. Minimum Experience/Skillset 8+ years of overall IT testing experience. 4+ years of hands-on performance/load testing experience. Strong hands-on experience with NeoLoad (Required). Experience testing enterprise-scale applications with high transaction volumes. Experience testing SAP systems, CRM platforms, analytics platforms, and complex enterprise integrations. Strong understanding of: Load, stress, endurance, and scalability testing API and middleware performance testing Batch, mediation, analytics, and asynchronous processing validation Preferred / Additional Skills Experience with SAP environments (SAP BRIM, S/4HANA, ECC). Experience with SAP Convergent Mediation (CM). Experience with SAP Datasphere. Experience testing CRM SAP bi-directional integrations. Experience testing CRM-to-ERP integrations. Experience with tolling, transportation, or public-sector systems. Experience with cloud or hybrid infrastructure performance testing.

Job Description Job Description Job Description: QA Automation Test Lead Duration : 6 Months Contract Location: Indianapolis, IN Onsite, Rate $55-60/hr Role Summary The Test Lead is responsible for defining and driving the testing strategy for one or more product teams. This person leads a team of test engineers, owns the quality of releases, and partners with product, development, and operations to ensure software is delivered on time, meets requirements, and is reliable in production. The role combines hands-on technical expertise with people leadership and strategic planning. Key Responsibilities Test Strategy and Planning Define test strategy, test plans, and quality metrics aligned with project goals and release schedules Assess risk and prioritize testing efforts across functional, regression, integration, performance, and security testing Estimate testing effort and contribute to sprint and release planning Team Leadership Lead, mentor, and coach a team of QA/test engineers; assign work and manage workload Conduct performance reviews, support career development, and participate in hiring Foster a culture of quality ownership across the engineering organization Test Execution and Automation Oversee design and execution of manual and automated test cases Drive test automation strategy, framework selection, and CI/CD integration Review test coverage and continuously improve the efficiency and reliability of test suites Collaboration Work closely with product owners, developers, DevOps, and business analysts to clarify requirements and acceptance criteria Communicate status, risks, and blockers to project managers and senior leadership Coordinate with vendors or offshore teams where applicable Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience 6 years of experience in software testing/QA, including 2 years in a lead or senior role Strong knowledge of SDLC, STLC, and Agile/Scrum methodologies Experience with test management and defect tracking tools (e.g., Jira) Excellent written and verbal communication, with the ability to influence stakeholders Preferred Qualifications ISTQB Advanced Level (Test Manager) or equivalent certification Experience testing cloud-based applications (AWS, Azure, Eligible to workP) and microservices Key Competencies Leadership and mentoring Analytical and risk-based thinking Attention to detail and a quality mindset Strong organization and prioritization Problem-solving and adaptability Stakeholder management Success Measures Reduction in escaped defects and production incidents Increased automation coverage and faster regression cycles On-time, high-quality releases Team engagement, growth, and retentio Role Descriptions: Key ResponsibilitiesOwn the overall test strategy test plan estimates schedule scope entry and exit criteria and testing deliverables.Lead functional integration system regression user acceptance and release validation activities across applications and interfaces.Engage with business users and client stakeholders to understand requirements assess testability clarify acceptance criteria and identify risks early.Coordinate daily activities across onsite and offshore testing teams allocate work monitor progress and remove delivery impediments.Review test scenarios test cases test data requirements traceability execution evidence and defect documentation for completeness and quality.Manage the defect lifecycle facilitate triage meetings drive root-cause discussions and ensure timely closure of critical defects.Publish accurate test status dashboards quality metrics risk and issue logs and release readiness recommendations to stakeholders.Collaborate with development business analysis infrastructure data security and release management teams throughout the delivery lifecycle.Identify automation opportunities and work with automation teams to improve regression coverage execution efficiency and quality controls.Ensure adherence to client processes quality standards documentation requirements audit controls and applicable regulatory or compliance expectations.Support production deployment post-release validation incident analysis and continuous improvement initiatives.Mentor test team members conduct reviews share best practices and promote accountability and a quality-first culture. Essential Skills: Key ResponsibilitiesOwn the overall test strategy test plan estimates schedule scope entry and exit criteria and testing deliverables.Lead functional integration system regression user acceptance and release validation activities across applications and interfaces.Engage with business users and client stakeholders to understand requirements assess testability clarify acceptance criteria and identify risks early.Coordinate daily activities across onsite and offshore testing teams allocate work monitor progress and remove delivery impediments.Review test scenarios test cases test data requirements traceability execution evidence and defect documentation for completeness and quality.Manage the defect lifecycle facilitate triage meetings drive root-cause discussions and ensure timely closure of critical defects.Publish accurate test status dashboards quality metrics risk and issue logs and release readiness recommendations to stakeholders.Collaborate with development business analysis infrastructure data security and release management teams throughout the delivery lifecycle.Identify automation opportunities and work with automation teams to improve regression coverage execution efficiency and quality controls.Ensure adherence to client processes quality standards documentation requirements audit controls and applicable regulatory or compliance expectations.Support production deployment post-release validation incident analysis and continuous improvement initiatives.Mentor test team members conduct reviews share best practices and promote accountability and a quality-first culture. Desirable Skills: Keyword: Skills: HiTech : Automation Testing Experience Required: 8-10

Job Description Job Description Qualifications: • 2 to 3 years of experience in Information Technology with expertise in test automation of applications from UI and API layer. • Candidate should have hands on experience of writing, maintaining automated UI and APIs tests written in Java, JavaScript, C#, Python using various open-source testing libraries like Selenium, Cypress, REST Assured, etc. • Hands on experience in OOPs languages like Java, C# and scripting languages like Python, Perl,Shell, Bash etc. • Experience with API and Microservices testing and automation • Knowledge and experience with Test Driven Development(TDD),Behavior Driven Development(BDD) with a testing framework like Cucumber,JBehave • Hands on experience with one or more querying languages such SQL (preferred), Oracle, MySQL and/or No SQL databases (Cassandra, MongoDB etc) • Experience deploying applications in AWS or OpenShift (Kubernetes) • Hands on experience in automating backend REST services including writing custom functions using tools such as Postman, REST Assured, Karate,Cypress, Ready API etc. • Hands on experience of building test automation framework from ground up using modular framework and design pattern like Page Object Model design pattern (POM) etc. • Experience of working in distributed agile teams using agile frameworks such as SCRUM , SAFe, XP etc. • Hands on experience of working with continues integration tools such Jenkins, Circle CI. • Able to independently create and maintain automation test jobs using tools such as Jenkins. • Hands on experience working with source code management tools such as GitLab, GitHub, AWS Code Commit etc. • Hands on experience of creating test reports from automation test run using tools such as cucumber report, Extent report etc. • Ability to quickly adapt to new tools and evolving technologies. • Must have the ability to clearly communicate with peers, business analysts, and subject matter experts • Must have the ability to listen to customers and colleagues; convey ideas effectively; prepare written documentation • Proactive in nature with customer satisfaction as a primary goal • Excellent verbal and written communication. • Embraces Diverse people, thinking and styles • Consistently makes safety and security, of self and others, the priority Responsibilities: PREFERRED QUALIFICATIONS • Knowledge and experience with the Travel Industry • Infrastructure automation using docker and tools like Chef, Puppet, Terraform • Experience of working with various AWS cloud services such as EC2, s3 bucket, AWS code pipeline, CloudFormation, etc. • Hands on experience of virtualizing services for test automation using tools such as Wire Mock, Mockito etc. • Experience of working with test management and agile management tools such as VersionOne, qTest etc. • Experience of working with container orchestration tools such as docker, RED Hat OpenShift, AWS CloudFormation. • Experience of non-functional testing such as performance, load, stress, security, accessibility and usability testing. Responsibilities: • Design, develop, execute and maintain software to test the product/application • Define automation strategy, automation cases as well as Design tools for unit, functional, and performance testing in a programmatic manner • Participate in design and code inspections. • Propose improvements to our existing processes and build automated tools, libraries and utilities in order to improve the team's speed, quality and efficiency. • The testing code you write should expose defects in production level code as well as defects at the component and feature integration perspective • Work with a wide variety of technologies from front-end UI to back-end distributed web services • Own the design and implementation of tests that will help in end-to-end quality of major deliverables working closely with multiple engineers and teams to execute them • Integration of both the tests and infrastructure automation into the CI/CD pipeline is also a key responsibility in this position • Contribute to agile development teams following 12 Factor application development principles • Collaborate effectively within team environment "All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status."

Job Description Job Description AWS DevSecOps Engineer - Secret North Charleston, SC Cambridge International Systems, Inc. Join a dynamic global team united by shared values: commitment, integrity, and perseverance. At Cambridge, you'll work alongside top talent worldwide, tackling some of today's most complex and critical challenges in defense and security. We are currently seeking an AWS DevSecOps Engineer to support the Naval Information Warfare Center Atlantic (NIWC Atlantic) Expeditionary Enterprise Systems and Services (E2S2) Division in North Charleston, SC. This is a full-time, CONUS, on-site office position requiring attendance five days per week, with one optional telework day. An active DoD Secret security clearance is required. What You'll Do As an AWS DevSecOps Engineer, you will combine cloud security architecture, DevSecOps automation, and advanced firewall/network security engineering to design secure systems, automate operations, and ensure the reliability, scalability, and security of AWS cloud environments. An automation-first mindset is critical, with a focus on eliminating manual security tasks through self-healing and compliant infrastructure. You will: Design, implement, and maintain DevSecOps pipelines supporting CI/CD, continuous monitoring, and automated security testing. Embed SAST, DAST, SCA, and compliance checks directly into CI/CD tools such as Jenkins, GitLab CI, and AWS CodePipeline. Automate operational tasks and security workflows using Python, Bash, or Go. Create SOAR-style automated incident response playbooks and threat detection routines. Manage and enhance CI/CD tools including Jenkins, Git, Jira, Artifactory, and SonarQube. Design secure, scalable AWS architectures using best practices and Infrastructure as Code (Terraform, CloudFormation). Implement policy-as-code to detect and prevent cloud resource misconfigurations before deployment. Build and maintain containerized workloads on ECS and EKS, including automated container vulnerability management. Deploy, configure, and manage AWS-native network security tools including AWS WAF, AWS Network Firewall, Security Groups, and NACLs. Maintain and operate virtualized NGFWs such as Palo Alto, Fortinet, and Check Point running in AWS. Monitor and analyze firewall logs, IDS/IPS alerts, and VPC flow logs to identify and mitigate threats. Manage firewalls, F5 BigIP, VPN, DNS, SFTP, and other TCP/IP-based services. Manage AWS services including EC2, VPC, Lambda, S3, EFS, ECR/ECS, EKS, Route53, IAM, RDS, CloudTrail, and CloudWatch. Develop and maintain infrastructure-as-code for provisioning, configuration, patching, and lifecycle management. Conduct performance, availability, and security assessments across cloud and container environments. Troubleshoot incidents, perform root cause analysis, and implement durable remediation. Maintain system documentation, architecture diagrams, and security procedures. Implement and enforce least privilege principles using AWS IAM, SSO, and identity integrations. Automate permission audits and cloud security posture monitoring. Support compliance with frameworks such as SOC 2, HIPAA, PCI-DSS, and ISO 27001. What You'll Bring Required Qualifications: Must be proficient in using different technologies such as computers and other tools and systems pertinent to the position. Education & Experience: Bachelor's degree in Computer Science or related Engineering field from an Accreditation Board for Engineering and Technology (ABET) accredited program. Seven (7) plus years of IT professional experience, with at least three (3) years specifically in AWS Cloud Security, DevOps, or DevSecOps. Current Security+ certification required. Experience overseeing the creation of hybrid software, web, and hardware products from initial specifications through final rollout and maintenance. Technical Expertise: Hands-on experience with AWS firewalls, NGFWs, IDS/IPS, and advanced network security. Strong automation mindset with a history of developing guardrails, auto-remediation, or security tooling. Proficiency in Python, Bash, or Go. Strong knowledge of AWS core services including EC2, VPC, RDS, Lambda, S3, CloudTrail, GuardDuty, and Security Hub. Proficiency with Terraform or CloudFormation. Experience integrating various network operating systems, application programs, and hardware devices through system specification, design, coding, testing, and maintenance support. Clearance: Must have a current and active DoD Secret security clearance. Preferred (Nice to Have): Experience implementing SOAR platforms or building serverless auto-remediation using Lambda/Step Functions. AWS Security Specialty or AWS DevOps Professional certification. Experience securing Kubernetes/EKS workloads and container registries. Experience automating compliance for SOC 2, HIPAA, PCI-DSS, or ISO 27001. Travel Requirements Physical & Work Environment Requirements On-site office environment in North Charleston, SC, requiring attendance five days per week, with one optional telework day. Periods of prolonged sitting and/or standing, including desk-based computer work. Regular use of computers, monitors, networking equipment, and other job-related technology. Work is performed in a secure facility where personal electronic devices (including Bluetooth- or Wi-Fi-enabled devices) may be restricted. Occasional extended work hours, including evenings or weekends, as needed. Communication with team members, customers, and stakeholders through verbal and written methods. Ability to manage competing priorities, work under deadlines, and maintain attention to detail. Vaccine Recommendations by AOR Health.mil Background & Security Employment is contingent upon successful background investigation Alcohol and Drug screening may be required for federal contract compliance Benefits & Perks We believe in investing in our team-both professionally and personally: Medical, dental, vision, life, accident, and critical illness insurance 401(k) immediate vesting and match Paid time off and company holidays Generous tuition & training support Relocation assistance Sign-on and performance-based bonuses Employee referral program Access to Tickets at Work, EAP, wellness initiatives, and more Cambridge International Systems is committed to investing in our employees and their future by providing them with competitive compensation, career development opportunities and comfortable working conditions. Available to part-time and temporary employees are the benefits below: Referral bonuses Performance-based bonuses Community involvement & outreach Wellness program Employee referral program Access to Tickets at Work, EAP, wellness initiatives, and more Join Us If you're driven by mission, technology, and teamwork-we want to hear from you. Cambridge is growing, and this position is just one of many opportunities on our global team. Know someone perfect for the role? Referrals are welcome-both employees and non-employees may qualify for a bonus. Apply today and help shape the future of secure cloud computing for national security. About Cambridge International Systems At Cambridge, we believe innovation and agility thrive when people work together. Our culture is built on teamwork, collaboration, and a commitment to listening, learning, and bringing out the best ideas in every employee. We empower our people to take on challenges, persevere to get the job done, and lead with integrity in everything we do. Our commitment to our employees and workplace culture has been recognized through the DAV Patriot Small Employer of the Year Award in 2026 and the Cigna Healthy Workforce Gold Designation in 2025. These recognitions reflect our ongoing commitment to creating a workplace where employees are valued, supported, and empowered to do their best work. At Cambridge, we are proud to foster an environment where people can grow, contribute, and make a meaningful impact. Learn more at . We are an equal opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to any protected status under applicable law or other similar factors that are not job-related. We encourage all qualified individuals to apply for employment. Selected applicants may be subject to a background investigation and/or education verification. We provide reasonable accommodation for qualified individuals with disabilities in accordance with federal, state, and local law. If you require a reasonable accommodation to participate in the application process or to perform the essential functions of the position, please contact our Recruiting Team at . Powered by JazzHR 5zpssyT3Zw

Job Description Job Description Capio Group is looking for an experienced Environment and Test Data Management Lead! Full-time employee - Sacramento Salary: $117,000 - $122,000 About Us: Capio Group is a California-based Information Technology Consulting firm serving the public sector since 2010. We assist the Government in delivering large, complex systems and solutions. Capio Group is a small, but quickly growing firm that mixes good ideas, with great people, to achieve extraordinary results for our clients. We offer the salary and benefits of the bigger companies, with the added bonus of a flexible workplace and a great work-life balance. Scope of Work: Capio Group is looking for an experienced Environment and Test Data Management Lead to provide QA/QC services to support teams for enterprise applications, covering end to end test planning, execution, automation, performance engineering, environment/test data coordination, and defect management. Activities will be conducted under client direction using approved tools (e.g., Azure DevOps/Jira/ALM/UFT/LoadRunner Enterprise), with automation on UFT (VBScript), Selenium, and/or Katalon integrated to CI/CD. The Environment and Test Data Management Lead shall provide per cycle test summary reports, coverage dashboards, and defect metrics (density, leakage, aging) to the client. The Environment and Test Data Management Lead will be responsible for services including but not limited to: Coordination, provisioning, and management of non-production testing environments across the SDLC. Management of test data required to support testing activities across environments. Activities will include but not limited to: Environment configuration and provisioning, Environment availability monitoring, Environment scheduling and conflict resolution, Integration validation across systems, Environment incident management and recovery, Test data creation and provisioning, Data masking and anonymization, Data refresh and synchronization, Synthetic data generation, Compliance with security and privacy requirements, Support for data-driven testing Coordinate with infrastructure and development teams to provision and maintain non-production testing environments. Monitor testing environment availability and stability to ensure environments are ready for scheduled testing activities. Coordinate environment configuration updates and system deployments required for testing cycles. Manage environment access requests and ensure appropriate security controls are implemented for testing environments. Identify and resolve environment-related issues impacting testing activities. Maintain documentation of environment configurations and dependencies supporting testing activities. Identify test data requirements needed to support functional, integration, automation, and performance testing activities. Create, provision, and maintain test data required for testing activities across supported testing environments. Perform data masking and anonymization to ensure protection of sensitive information in testing environments. Validate no PII exposure via sampling and provide masking validation reports. Coordinate test data refresh cycles to ensure test environments contain relevant and usable data sets. Generate synthetic data or subsets of production data where necessary to support testing scenarios. Ensure test data management activities comply with the client security and privacy policies. Define UAT data requirements (scenarios, roles, test accounts), provision and mask datasets for UAT, seed or refresh data aligned to UAT windows, deliver a UAT data readiness checklist and obtain business sign off prior to UAT start. Mandatory Experience: Within the last ten (10) years, must have a minimum of seven (7) years of experience in electronic data processing systems study, design, and programming. Within the last ten (10) years, at least four (4) years of experience in electronic data processing systems study, design, and programming must be in a lead Capacity. Must possess a bachelor's degree in an IT-related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis. A copy of the degree must be provided upon request. Within the last ten (10) years, must have a minimum of seven (7) years of experience supporting enterprise IT systems. Within the last ten (10) years, must have a minimum of four (4) years of experience in a lead role, managing test environments and test data across SDLC phases. Within the last ten (10) years, must have a minimum of four (4) years of experiencecoordinating environment provisioning and configuration. Within the last ten (10) years, must have a minimum of four (4) years of experience implementing test data management strategies, including data subsetting and extraction, data masking and refresh cycles. Within the last ten (10) years, must have a minimum of four (4) years of experience monitoring environment availability and stability, including defining and managing SLAs. Within the last ten (10) years, must have a minimum of four (4) years of experience managing data dependencies across integrated systems. Within the last ten (10) years, must have a minimum of four (4) years of experience managing environment incidents, including rollback and recovery. Within the last ten (10) years, must have a minimum of four (4) years of experience working with databases and cloud platforms like AWS and/or Azure. Within the last ten (10) years, must have a minimum of four (4) years of experience integrating environment provisioning and test data management into CI/CD pipelines, enabling automated and repeatable deployments across non-production environments. Must be able to provide a client/user end reference contact information for each applicable project meeting the requirements upon request in the qualification form. In addition, you must be able to submit completed reference forms when requested. Each reference form must be signed by the referenced individual. The reference contact must be a representative of the company for which the project was developed and must have served in a management or supervisory role. Desirable Experience: At least ten (10) years of experience supporting enterprise application environments. Within the last ten (10) years, atleast two (2) years of experience supporting large scale enterprise benefit systems (eg: Unemployment Insurance or Disability Insurance) meeting defined large scale enterprise system criteria. "Large Scale Enterprise System" is defined as an application or integrated system landscape that meets all of the following: 1. Supports at least 2,500 concurrent users during peak periods, or at least 500,000 registered users and 2. Processes at least 500,000 transactions or claims per year, or equivalent record/transaction volume across batch and online channels and 3. Includes a multi-tier architecture spanning at least three of: web/portal, API/services layer, batch processing, and/or mainframe integrations or modern cloud-native services. Within the last ten (10) years, atleast four (4) years of experience with test data tools and platforms like AWS S3, AWS RDS, MS SQL, AWS EC2. Within the last ten (10) years, atleast four (4) years of experience with Infrastructure as Code tools like Terraform, or ARM, or CloudFormation. Within the last ten (10) years, atleast four (4) years of experience achieving 99% environment availability SLAs during testing cycles. Possesses one or more of the below certifications: A copy of the certification must be provided upon request. -HashiCorp Terraform Associate -AWS Certified Solutions Architect Associate Possession of a Master's degree in a Business Administration, IT or Engineering field. A copy of the degree must be provided upon request. Equal Opportunity Employer: At Capio Group, our employees are our greatest asset and diversity, equity, and inclusion are at the core of who we are. Our commitment to these values is unyielding and is central to our mission and to our impact. We know that having diverse perspectives helps to generate better ideas to solve the complex problems of our diverse clients and the communities they serve. Powered by JazzHR VCW0Vv3H9C

Job Description Job Description Octagon Talent Solutions is a full-service technology recruitment and staffing company based in South Florida. We humanize technical recruitment by identifying candidates' long-term career goals and assessing cultural fit when presenting opportunities. Our focus on long-term relationships helps ensure lasting placements. JOB OVERVIEW: We seek a Lead Quality Assurance Engineer for an exciting remote opportunity based in Miami. Our client is a leader in Web3 innovation, developing cutting-edge applications in cryptocurrency trading and blockchain infrastructure. This role provides a unique opportunity to influence the quality standards of next-generation financial technology products while collaborating with a highly skilled engineering team. In this critical position, you will work directly with the CTO and cross-functional teams to ensure the delivery of robust, secure, and high-performance crypto trading solutions. RESPONSIBILITIES: Lead the development and execution of comprehensive test strategies for cutting-edge crypto and Web3 applications, ensuring product excellence Drive quality assurance through a mix of manual and automated testing approaches, covering integration, regression, load, and security testing scenarios Establish robust defect management processes, including thorough documentation and tracking systems Take ownership of issue resolution by working directly with engineering teams to investigate, reproduce, and resolve complex technical challenges Implement proactive performance monitoring and reliability analysis to maintain system excellence Spearhead continuous improvement initiatives for QA processes and automation frameworks Champion quality standards through comprehensive testing protocols and detailed documentation to ensure successful releases REQUIREMENTS: Strong knowledge of QA methodologies, tools, and processes Proven ability to test large-scale, high-availability production systems Experience with automated testing frameworks (Selenium, Cypress, Jest, Postman) Excellent problem-solving, analytical skills, and attention to detail Familiarity with blockchain technology (EVM, smart contracts, Web3) Extensive QA experience in crypto/blockchain or fintech applications Fluent English communication skills TECHNICAL SKILLS (PREFERRED): Performance testing expertise with JMeter, k6, or LoadRunner Experience with CI/CD pipelines, containerization (Docker, Kubernetes) Security testing and vulnerability assessment capabilities ISTQB certification or equivalent Open-source contributions to QA/testing projects ADDITIONAL TECHNICAL REQUIREMENTS: Experience with distributed systems testing and microservices architecture Knowledge of API testing and WebSocket protocols Familiarity with data consistency testing in distributed ledger systems Experience with test environments in cloud platforms (AWS/GCP/Azure) Our client's team works in a fast-paced, dynamic environment. This role is not your typical 9-to-5; we are seeking a meticulous QA professional who excels in delivering world-class quality for crypto products while collaborating with a small, senior team. Please submit your resume, portfolio, GitHub profile, or examples of previous QA projects, especially those involving cryptocurrency, trading, or large-scale production applications.

Job Description Job Description Octagon Talent Solutions is a full-service technology recruitment and staffing company based in South Florida. We humanize technical recruitment by identifying candidates' long-term career goals and assessing cultural fit when presenting opportunities. Our focus on long-term relationships helps ensure placements that last. JOB OVERVIEW: We are looking for a Lead Quality Assurance Engineer for an exciting remote opportunity based in Miami. Our client is a leader in Web3 innovation, developing cutting-edge applications in cryptocurrency trading and blockchain infrastructure. This role provides a unique opportunity to influence the quality standards of next-generation financial technology products while collaborating with a highly skilled engineering team. In this critical position, you will work directly with the CTO and cross-functional teams to ensure the delivery of robust, secure, and high-performance crypto trading solutions. RESPONSIBILITIES : Lead the development and execution of comprehensive test strategies for cutting-edge crypto and Web3 applications, ensuring product excellence Drive quality assurance through a mix of manual and automated testing approaches, covering integration, regression, load, and security testing scenarios Establish robust defect management processes, including thorough documentation and tracking systems Take ownership of issue resolution by working directly with engineering teams to investigate, reproduce, and resolve complex technical challenges Implement proactive performance monitoring and reliability analysis to maintain system excellence Spearhead continuous improvement initiatives for QA processes and automation frameworks Champion quality standards through comprehensive testing protocols and detailed documentation to ensure successful releases CORE REQUIREMENTS: Strong knowledge of QA methodologies, tools, and processes Proven ability to test large-scale, high-availability production systems Experience with automated testing frameworks (Selenium, Cypress, Jest, Postman) Excellent problem-solving, analytical skills, and attention to detail Familiarity with blockchain technology (EVM, smart contracts, Web3) Extensive QA experience in crypto/blockchain or fintech applications Fluent English communication skills TECHNICAL SKILLS (PREFERRED): Performance testing expertise with JMeter, k6, or LoadRunner Experience with CI/CD pipelines, containerization (Docker, Kubernetes) Security testing and vulnerability assessment capabilities ISTQB certification or equivalent Open-source contributions to QA/testing projects ADDITIONAL TECHNICAL REQUIREMENTS: Experience with distributed systems testing and microservices architecture Knowledge of API testing and WebSocket protocols Familiarity with data consistency testing in distributed ledger systems Experience with test environments in cloud platforms (AWS/GCP/Azure) Our client's team works in a fast-paced, dynamic environment. This role is not your typical 9-to-5; we are seeking a meticulous QA professional who excels in delivering world-class quality for crypto products while collaborating with a small, senior team. Please submit your resume, portfolio, GitHub profile, or examples of previous QA projects, especially those involving cryptocurrency, trading, or large-scale production applications.

Job Description Application deadline: Nov 7, 2026 The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. Key job responsibilities - Designing, developing, and implementing complex, scalable, and secure solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Integrate multiple third-party software products into a unified platform stack - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS- 7+ years of technical specialist, design and architecture experience - 7+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of software development with object oriented language experience - 5+ years of integration, testing and automation experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS- Experience designing and executing systematic test campaigns for complex, multi-component software platforms - including writing unit tests, integration tests, and end-to-end system tests against documented requirements in environments where the test infrastructure must be built alongside the system under test. - Demonstrated systems engineering test mindset - the ability to look at a platform composed of multiple integrated products (Kubernetes, GPU orchestration, AI/ML training and inference pipelines, network automation, identity management, storage) and reason about where integration boundaries will fail, where configuration drift will introduce defects, where AI workload behavior will expose platform gaps, and where requirements gaps will surface only under realistic operating conditions. - Hands-on experience with test automation frameworks and CI/CD-integrated testing pipelines - Familiarity with Kubernetes platforms, containerized workloads, and infrastructure-level software components sufficient to write technically meaningful tests - not just UI-level validation, but tests that verify scheduling behavior, resource allocation, tenant isolation enforcement, storage mount integrity, and platform service availability under load. - Experience testing in classified, air-gapped, or highly regulated environments 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 -we- hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at USA, CO, Denver - 153 800.00 USD annually USA, VA, Arlington - 153 800.00 USD annually USA, VA, Herndon - 153 800.00 USD annually