Job Description Job Description Job Title: AWS Application Production Support Engineer Location: Knoxville, TN, Columbia SC or Lafayette, LA or Birmingham, AL Monitor AWS hosted applications and respond to production alerts and incidents. Perform incident triage using AWS consoles, application logs, monitoring tools, and available operational documentation. Investigate application and processing failures across AWS services, databases, and scheduled jobs. Support Amazon RDS and Amazon Redshift and troubleshoot database related application issues. Run and troubleshoot existing AutoSys jobs and scheduled processes. Monitor and troubleshoot existing CI/CD pipelines and operational processes. Identify likely root causes or failure points and recommend appropriate next steps. Restore services using approved production support procedures. Independently research solutions when existing knowledge articles do not fully address an issue. Escalate complex incidents to SMEs and engineering teams with complete diagnostic findings. Create, update, and track incidents and service requests in ServiceNow. Identify recurring manual activities and opportunities for operational automation. Maintain and improve knowledge articles and support documentation. Coordinate with application development, infrastructure, AWS, database, and business support teams. Requirements 5+ years of application or production support experience in an enterprise environment. Strong hands-on AWS production support experience, including AWS console navigation and cloud log analysis. Strong incident triage, troubleshooting, and production support skills. Hands on experience with Amazon RDS and Amazon Redshift. Experience with AutoSys or a comparable enterprise job scheduling platform. Understanding of DevOps and CI/CD processes, with experience running and troubleshooting existing pipelines. Strong log analysis skills and the ability to identify likely failure points across applications, AWS services, databases, and scheduled processes. Experience with ServiceNow or a comparable incident/ticket management platform. Ability to independently investigate issues when documented procedures are incomplete. Experience restoring services using approved operational procedures and escalating complex issues with clear diagnostic evidence. Strong analytical, troubleshooting, communication, and cross team coordination skills. Ability to work effectively in a time sensitive 24x7 production environment. Desired Skillset: ?Preferred: Python scripting/automation, AWS Associate level certification, and experience supporting enterprise HR, Finance, or other back office applications. Educational Requirements: ?Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
10/30/2026
Full time
Job Description Job Description Job Title: AWS Application Production Support Engineer Location: Knoxville, TN, Columbia SC or Lafayette, LA or Birmingham, AL Monitor AWS hosted applications and respond to production alerts and incidents. Perform incident triage using AWS consoles, application logs, monitoring tools, and available operational documentation. Investigate application and processing failures across AWS services, databases, and scheduled jobs. Support Amazon RDS and Amazon Redshift and troubleshoot database related application issues. Run and troubleshoot existing AutoSys jobs and scheduled processes. Monitor and troubleshoot existing CI/CD pipelines and operational processes. Identify likely root causes or failure points and recommend appropriate next steps. Restore services using approved production support procedures. Independently research solutions when existing knowledge articles do not fully address an issue. Escalate complex incidents to SMEs and engineering teams with complete diagnostic findings. Create, update, and track incidents and service requests in ServiceNow. Identify recurring manual activities and opportunities for operational automation. Maintain and improve knowledge articles and support documentation. Coordinate with application development, infrastructure, AWS, database, and business support teams. Requirements 5+ years of application or production support experience in an enterprise environment. Strong hands-on AWS production support experience, including AWS console navigation and cloud log analysis. Strong incident triage, troubleshooting, and production support skills. Hands on experience with Amazon RDS and Amazon Redshift. Experience with AutoSys or a comparable enterprise job scheduling platform. Understanding of DevOps and CI/CD processes, with experience running and troubleshooting existing pipelines. Strong log analysis skills and the ability to identify likely failure points across applications, AWS services, databases, and scheduled processes. Experience with ServiceNow or a comparable incident/ticket management platform. Ability to independently investigate issues when documented procedures are incomplete. Experience restoring services using approved operational procedures and escalating complex issues with clear diagnostic evidence. Strong analytical, troubleshooting, communication, and cross team coordination skills. Ability to work effectively in a time sensitive 24x7 production environment. Desired Skillset: ?Preferred: Python scripting/automation, AWS Associate level certification, and experience supporting enterprise HR, Finance, or other back office applications. Educational Requirements: ?Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
Job Description Job Description Job Description acuCyber is seeking a Senior DevOps Engineer to build, automate, and maintain the cloud infrastructure and secure deployment environments supporting mission applications and core services. This role combines infrastructure as code, Kubernetes deployment, and automated security testing within Amazon Web Services (AWS) environments. The engineer will work closely with software developers to establish consistent environments and move services into reliable, scalable deployments. Candidates should understand how cloud infrastructure, container orchestration, networking, and security controls work together. We are looking for hands-on experience designing and operating these environments, with an emphasis on automation, troubleshooting, and improving software delivery. This role is full time on Government site. Charleston, SC preferred but highly qualified candidates in the National Capital Region (NCR) will also be considered. What You'll Do: • Build, automate, and maintain AWS infrastructure supporting development, integration, testing, and operational deployments. • Develop infrastructure as code and Ansible automation to create repeatable deployments, maintain consistent configurations, and reduce configuration drift. • Deploy and operate containerized applications using Kubernetes and Red Hat OpenShift, addressing scalability, availability, networking, resource management, and persistent storage. • Build and maintain continuous integration and continuous delivery (CI/CD) pipelines that automate software builds, testing, security checks, and deployments. • Configure and maintain the DevOps toolchain, including container registries, artifact repositories, and environment configurations. • Integrate automated security testing into delivery workflows and work with developers to remediate vulnerabilities and pipeline performance bottlenecks. • Support AWS GovCloud deployments and environments subject to Department of Defense Impact Level 5 (IL5) requirements. • Implement monitoring, centralized logging, and alerting to support troubleshooting, capacity planning, and service reliability. • Configure platform access controls and integrate secrets management and certificate handling into deployment workflows. • Troubleshoot issues involving Linux systems, cloud networking, permissions, storage, and container orchestration. • Automate patching, deployment validation, rollback, and recovery procedures. • Document pipeline configurations and operational procedures, contribute to implementation plans and security testing reports, and help developers use the delivery environment effectively. • Evaluate tools and deployment approaches through proof-of-concept testing and improve deployment speed, vulnerability remediation, automated testing, and service availability. , Required Skills • Bachelor's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. • Typical experience: 10 years of professional software engineering experience. • Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with a Counterintelligence (CI) Polygraph. • Prior experience supporting the Intelligence Community. • Experience applying programming concepts in a professional or academic setting. • Experience applying modern software development methodologies, such as Agile, DevOps, or DevSecOps, in a professional or academic setting. • Hands-on experience building and operating AWS infrastructure, including compute, networking, storage, and Identity and Access Management (IAM). • Experience deploying and managing Kubernetes workloads, including service networking, persistent storage, scaling, and troubleshooting. • Experience developing Ansible automation and maintaining infrastructure as code. • Experience building and maintaining CI/CD pipelines and integrating automated security testing into software delivery workflows. • Strong Linux administration and troubleshooting skills. • Experience automating infrastructure and operational tasks using Python, Bash, or comparable scripting languages. • Experience with Git and version-controlled infrastructure and configuration management. • Ability to diagnose issues across cloud infrastructure, container platforms, and application deployments. • Agile Developer certification or Certified Scrum Developer certification is required. , Desired Skills • Master's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. • Meet DoD 8140 / 8570 IAM Level II or III baseline requirements (such as CISSP, CISM, CAP/ISC2 CGRC). • Red Hat OpenShift: Experience with application deployments, cluster configuration, access controls, networking, and workload security. • Government cloud environments: Experience with AWS GovCloud and deployment constraints associated with Department of War Impact Level 5 environments. • Infrastructure automation: Experience with Terraform, AWS CloudFormation, or comparable tools, along with reusable Ansible roles and playbooks. • Security tooling: Experience integrating static and dynamic application security testing, dependency checks, and container image scanning into delivery pipelines. • Stateful services: Experience deploying and supporting databases or search platforms, including storage configuration, backup and recovery, and availability. • Platform security: Experience integrating enterprise identity services, managing secrets, and automating certificate deployment and renewal. • Reliability and recovery: Experience implementing health checks, resource monitoring, rollback procedures, and tested recovery processes. • Relevant certifications: AWS, Kubernetes, Red Hat, or infrastructure automation certifications. , Additional Details Why Join acuCyber • Competitive compensation and performance incentives • Full benefits package: health, dental, vision, 401(k) with match • Paid time off and short-term disability coverage • Purpose-driven, clearance-respecting culture • Opportunities for professional growth and leadership acuCyber is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status. , About acuCyber At acuCyber, cleared tech talent fuels the future of national defense. As a respected and fast-growing player in the DoD and federal contracting space, we deliver advanced cybersecurity and digital solutions that protect vital systems and drive mission success. Our team of cleared engineers, developers, and cyber experts work hands-on with secure environments, and zero-trust architecture. In return, you'll join a mission-first culture with real growth opportunities and solid benefits: competitive health coverage, 401(k), PTO, short-term disability, and more. If you're ready to level up your skills and contribute to projects with purpose, acuCyber is where your clearance counts.
10/29/2026
Full time
Job Description Job Description Job Description acuCyber is seeking a Senior DevOps Engineer to build, automate, and maintain the cloud infrastructure and secure deployment environments supporting mission applications and core services. This role combines infrastructure as code, Kubernetes deployment, and automated security testing within Amazon Web Services (AWS) environments. The engineer will work closely with software developers to establish consistent environments and move services into reliable, scalable deployments. Candidates should understand how cloud infrastructure, container orchestration, networking, and security controls work together. We are looking for hands-on experience designing and operating these environments, with an emphasis on automation, troubleshooting, and improving software delivery. This role is full time on Government site. Charleston, SC preferred but highly qualified candidates in the National Capital Region (NCR) will also be considered. What You'll Do: • Build, automate, and maintain AWS infrastructure supporting development, integration, testing, and operational deployments. • Develop infrastructure as code and Ansible automation to create repeatable deployments, maintain consistent configurations, and reduce configuration drift. • Deploy and operate containerized applications using Kubernetes and Red Hat OpenShift, addressing scalability, availability, networking, resource management, and persistent storage. • Build and maintain continuous integration and continuous delivery (CI/CD) pipelines that automate software builds, testing, security checks, and deployments. • Configure and maintain the DevOps toolchain, including container registries, artifact repositories, and environment configurations. • Integrate automated security testing into delivery workflows and work with developers to remediate vulnerabilities and pipeline performance bottlenecks. • Support AWS GovCloud deployments and environments subject to Department of Defense Impact Level 5 (IL5) requirements. • Implement monitoring, centralized logging, and alerting to support troubleshooting, capacity planning, and service reliability. • Configure platform access controls and integrate secrets management and certificate handling into deployment workflows. • Troubleshoot issues involving Linux systems, cloud networking, permissions, storage, and container orchestration. • Automate patching, deployment validation, rollback, and recovery procedures. • Document pipeline configurations and operational procedures, contribute to implementation plans and security testing reports, and help developers use the delivery environment effectively. • Evaluate tools and deployment approaches through proof-of-concept testing and improve deployment speed, vulnerability remediation, automated testing, and service availability. , Required Skills • Bachelor's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. • Typical experience: 10 years of professional software engineering experience. • Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with a Counterintelligence (CI) Polygraph. • Prior experience supporting the Intelligence Community. • Experience applying programming concepts in a professional or academic setting. • Experience applying modern software development methodologies, such as Agile, DevOps, or DevSecOps, in a professional or academic setting. • Hands-on experience building and operating AWS infrastructure, including compute, networking, storage, and Identity and Access Management (IAM). • Experience deploying and managing Kubernetes workloads, including service networking, persistent storage, scaling, and troubleshooting. • Experience developing Ansible automation and maintaining infrastructure as code. • Experience building and maintaining CI/CD pipelines and integrating automated security testing into software delivery workflows. • Strong Linux administration and troubleshooting skills. • Experience automating infrastructure and operational tasks using Python, Bash, or comparable scripting languages. • Experience with Git and version-controlled infrastructure and configuration management. • Ability to diagnose issues across cloud infrastructure, container platforms, and application deployments. • Agile Developer certification or Certified Scrum Developer certification is required. , Desired Skills • Master's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. • Meet DoD 8140 / 8570 IAM Level II or III baseline requirements (such as CISSP, CISM, CAP/ISC2 CGRC). • Red Hat OpenShift: Experience with application deployments, cluster configuration, access controls, networking, and workload security. • Government cloud environments: Experience with AWS GovCloud and deployment constraints associated with Department of War Impact Level 5 environments. • Infrastructure automation: Experience with Terraform, AWS CloudFormation, or comparable tools, along with reusable Ansible roles and playbooks. • Security tooling: Experience integrating static and dynamic application security testing, dependency checks, and container image scanning into delivery pipelines. • Stateful services: Experience deploying and supporting databases or search platforms, including storage configuration, backup and recovery, and availability. • Platform security: Experience integrating enterprise identity services, managing secrets, and automating certificate deployment and renewal. • Reliability and recovery: Experience implementing health checks, resource monitoring, rollback procedures, and tested recovery processes. • Relevant certifications: AWS, Kubernetes, Red Hat, or infrastructure automation certifications. , Additional Details Why Join acuCyber • Competitive compensation and performance incentives • Full benefits package: health, dental, vision, 401(k) with match • Paid time off and short-term disability coverage • Purpose-driven, clearance-respecting culture • Opportunities for professional growth and leadership acuCyber is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status. , About acuCyber At acuCyber, cleared tech talent fuels the future of national defense. As a respected and fast-growing player in the DoD and federal contracting space, we deliver advanced cybersecurity and digital solutions that protect vital systems and drive mission success. Our team of cleared engineers, developers, and cyber experts work hands-on with secure environments, and zero-trust architecture. In return, you'll join a mission-first culture with real growth opportunities and solid benefits: competitive health coverage, 401(k), PTO, short-term disability, and more. If you're ready to level up your skills and contribute to projects with purpose, acuCyber is where your clearance counts.
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. Charter is proud to have a network that provides service to millions of customers across the US. The Network Engineering team is responsible for the implementation of approved network architecture and designs. Under limited supervision, this Principal Engineer position leads the architecture, engineering, administration, and strategic evolution of our Hadoop-based big data platform. This role is responsible for defining the technical direction of the enterprise data ecosystem, ensuring platform scalability, reliability, security, and operational excellence. The ideal candidate combines deep hands-on expertise in Hadoop administration with strong architecture leadership , cross-functional collaboration, and the ability to mentor engineering teams. How You'll Make an Impact Owns the architecture, design, and lifecycle management of enterprise Hadoop clusters and supporting data platform services. Leads administration of Hadoop ecosystem components such as HDFS, YARN, Hive, HBase, Spark, Kafka, Oozie, ZooKeeper, Impala , and related tooling. Defines platform standards for availability, performance, capacity planning, disaster recovery, backup, monitoring, and security. Drives infrastructure optimization across storage, compute, workload management, and job scheduling. Establishes best practices for cluster provisioning, configuration management, patching, upgrades, and decommissioning. Partner with data engineering, analytics, security, and infrastructure teams to support data ingestion, processing, governance, and access patterns. Troubleshoot complex platform, performance, and production stability issues across distributed systems. Lead root cause analysis and implement preventive measures to improve resiliency and service quality. Evaluate and guide migration or coexistence strategies involving cloud data platforms and hybrid architectures. Mentor engineers and administrators, providing technical leadership across platform operations and engineering initiatives. Create and maintain platform documentation, operational runbooks, and architecture standards. Create and maintain data views, data exports and automated data processing. Working Conditions Office environment What You'll Bring to Spectrum Required Qualifications Education Master's or bachelor's degree in Engineering or related field or related work experience Experience 5+ years engineering work experience 5+ years project management work experience Skills Ability to read, write, speak and understand English Basic knowledge of related industry specifications and standards IEEE, ANSI, Fiber (Multimode, Single mode, UTP, etc.), Bridging, Switching, Routing, Ethernet and Transport technologies and protocols Basic knowledge in network design, network architecture, protocols and network topology Basic knowledge in TCP/IP and the OSI Model Basic knowledge in using ticketing and software tools to support the current operations Basic knowledge of network devices and basic network appliances Basic knowledge of network designing software, such as Visio Ability to perform duties in a very fast-paced environment and ability to learn new technology quickly Ability to use personal computer and software applications Preferred Qualifications Education Cisco Certified Internetwork Expert (CCIE) Industry and vendor specific certifications and training preferred (Cisco, Juniper, Alcatel-Lucent, etc.) Skills Minimum four (4) years of software development experience using Python / Typescript Experience with Django/Flask/FastAPI Experience with Shell scripting, TCP/IP and networking concepts, system security best practices and system monitoring Capable of managing systems in a large scale, high availability, multi-site environment Experience working in DevOps practices and tools Experience with Hadoop and other database technologies, like Postgresql/MySQL, Splunk Experience with container technologies such as Docker, Kubernetes, etc. Other Industry and vendor specific certifications, training (Python, DevOps, Network Technologies) Advanced knowledge of network automation platforms and techniques Advanced knowledge of concurrent, parallel and asynchronous programming design and techniques Advanced knowledge of restful api design, operation and interaction Working knowledge of PEP8 programming practices Ability to read, understand and effectively convey RFC and IEEE standards and concepts EGN601 4 EGN601 2026 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. This job posting will remain open until 2026-11-:00 AM (UTC) and will be extended if necessary. The base pay for this position generally is between $110,800.00 and $196,400.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Spectrum is a suite of advanced communications services offered by Charter Communications, the leading broadband and video company in the nation and the fastest growing mobile provider in its footprint, with services available to more than 70 million homes and small to large businesses across 45 states. When you join our team, you'll be keeping customers connected to Seamless Connectivity and Entertainment with Spectrum Internet , Mobile, TV and Voice products. Watch this video to learn more. Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.
10/29/2026
Full time
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. Charter is proud to have a network that provides service to millions of customers across the US. The Network Engineering team is responsible for the implementation of approved network architecture and designs. Under limited supervision, this Principal Engineer position leads the architecture, engineering, administration, and strategic evolution of our Hadoop-based big data platform. This role is responsible for defining the technical direction of the enterprise data ecosystem, ensuring platform scalability, reliability, security, and operational excellence. The ideal candidate combines deep hands-on expertise in Hadoop administration with strong architecture leadership , cross-functional collaboration, and the ability to mentor engineering teams. How You'll Make an Impact Owns the architecture, design, and lifecycle management of enterprise Hadoop clusters and supporting data platform services. Leads administration of Hadoop ecosystem components such as HDFS, YARN, Hive, HBase, Spark, Kafka, Oozie, ZooKeeper, Impala , and related tooling. Defines platform standards for availability, performance, capacity planning, disaster recovery, backup, monitoring, and security. Drives infrastructure optimization across storage, compute, workload management, and job scheduling. Establishes best practices for cluster provisioning, configuration management, patching, upgrades, and decommissioning. Partner with data engineering, analytics, security, and infrastructure teams to support data ingestion, processing, governance, and access patterns. Troubleshoot complex platform, performance, and production stability issues across distributed systems. Lead root cause analysis and implement preventive measures to improve resiliency and service quality. Evaluate and guide migration or coexistence strategies involving cloud data platforms and hybrid architectures. Mentor engineers and administrators, providing technical leadership across platform operations and engineering initiatives. Create and maintain platform documentation, operational runbooks, and architecture standards. Create and maintain data views, data exports and automated data processing. Working Conditions Office environment What You'll Bring to Spectrum Required Qualifications Education Master's or bachelor's degree in Engineering or related field or related work experience Experience 5+ years engineering work experience 5+ years project management work experience Skills Ability to read, write, speak and understand English Basic knowledge of related industry specifications and standards IEEE, ANSI, Fiber (Multimode, Single mode, UTP, etc.), Bridging, Switching, Routing, Ethernet and Transport technologies and protocols Basic knowledge in network design, network architecture, protocols and network topology Basic knowledge in TCP/IP and the OSI Model Basic knowledge in using ticketing and software tools to support the current operations Basic knowledge of network devices and basic network appliances Basic knowledge of network designing software, such as Visio Ability to perform duties in a very fast-paced environment and ability to learn new technology quickly Ability to use personal computer and software applications Preferred Qualifications Education Cisco Certified Internetwork Expert (CCIE) Industry and vendor specific certifications and training preferred (Cisco, Juniper, Alcatel-Lucent, etc.) Skills Minimum four (4) years of software development experience using Python / Typescript Experience with Django/Flask/FastAPI Experience with Shell scripting, TCP/IP and networking concepts, system security best practices and system monitoring Capable of managing systems in a large scale, high availability, multi-site environment Experience working in DevOps practices and tools Experience with Hadoop and other database technologies, like Postgresql/MySQL, Splunk Experience with container technologies such as Docker, Kubernetes, etc. Other Industry and vendor specific certifications, training (Python, DevOps, Network Technologies) Advanced knowledge of network automation platforms and techniques Advanced knowledge of concurrent, parallel and asynchronous programming design and techniques Advanced knowledge of restful api design, operation and interaction Working knowledge of PEP8 programming practices Ability to read, understand and effectively convey RFC and IEEE standards and concepts EGN601 4 EGN601 2026 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. This job posting will remain open until 2026-11-:00 AM (UTC) and will be extended if necessary. The base pay for this position generally is between $110,800.00 and $196,400.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Spectrum is a suite of advanced communications services offered by Charter Communications, the leading broadband and video company in the nation and the fastest growing mobile provider in its footprint, with services available to more than 70 million homes and small to large businesses across 45 states. When you join our team, you'll be keeping customers connected to Seamless Connectivity and Entertainment with Spectrum Internet , Mobile, TV and Voice products. Watch this video to learn more. Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.
Job Description EazyML, Recognized by Gartner, EazyML () specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation and The company is associated with breakthrough startups like Amelia.ai. We are seeking a highly experienced Principal Product & TechnologyLead to partner with business and technology leaders in driving strategy, delivery, and adoption of enterprise analytics, AI, and digital platforms. This individual will serve as a trusted advisor to stakeholders while leading cross-functional teams, managing complex technology initiatives, and ensuring delivery of measurable business value. The ideal candidate combines product leadership, technical depth, strategic thinking, and execution excellence to successfully lead initiatives spanning data, analytics, AI/GenAI, and enterprise application platforms. Key Responsibilities Product Strategy & Portfolio Management Define product vision, roadmap, and prioritization across a portfolio of analytics, data, AI, and digital solutions. Partner with business stakeholders to identify opportunities, define requirements, and deliver business outcomes. Develop and maintain product backlogs, release plans, success metrics, and adoption strategies. Drive value realization through measurable business outcomes and ROI tracking. Technology Leadership Provide technical leadership across architecture, design, integration, and platform modernization initiatives. Collaborate with engineering teams to ensure scalable, secure, and maintainable solutions. Guide solution design reviews and technical decision-making. Promote engineering best practices, automation, DevOps, and AI-assisted development approaches. AI & Innovation Identify, evaluate, and drive AI/GenAI use cases from concept through implementation. Partner with business and technical teams to define AI product strategy and business value. Support the adoption of emerging technologies including Generative AI, AI Agents, and automation capabilities. Ensure alignment with Responsible AI and governance requirements. Program & Delivery Leadership Lead planning, execution, and delivery across multiple concurrent initiatives. Manage dependencies, risks, issues, and stakeholder communications. Facilitate Agile ceremonies, roadmap reviews, governance forums, and executive updates. Coordinate cross-functional teams including Product, Engineering, Data, Quality, Operations, and Business partners. Stakeholder & Vendor Management Serve as a trusted advisor to business and technology leadership. Drive alignment across internal teams and external vendor partners. Lead executive presentations, strategic planning discussions, and steering committee reviews. Establish accountability and ensure successful delivery against commitments. Governance & Compliance Support architecture reviews, security assessments, and technology governance processes. Ensure compliance with applicable regulatory, privacy, security, and enterprise standards. Maintain appropriate documentation, controls, and audit readiness. Required Qualifications: Experience Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. 10+ years of experience in Product Management, Technology Delivery, Solution Architecture, Engineering Leadership, or Technology Consulting. Proven experience leading enterprise-scale digital, analytics, data, or AI product initiatives. Experience managing global cross-functional teams and large-scale technology programs. Strong executive presence with the ability to communicate effectively with both technical and business audiences. Technical Requirements: Product & Delivery Expertise in product strategy, roadmap development, backlog management, and release planning. Strong understanding of Agile, Scrum, and modern product development methodologies. Experience managing complex technology portfolios and delivery roadmaps. Software Engineering & Architecture Strong understanding of Software Development Life Cycle (SDLC). Experience with enterprise application architecture and integration patterns. Knowledge of APIs, microservices, event-driven architectures, and distributed systems. Familiarity with frontend, backend, and cloud-native application development. Cloud & Platform Technologies Experience with one or more cloud platforms including Azure, AWS, or GCP. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Understanding of cloud migration, platform modernization, and scalable architecture design. Data & Analytics Strong understanding of: SQL Data Warehousing Data Modeling ETL/ELT Pipelines Enterprise Data Platforms Experience with analytics and business intelligence tools including Power BI, Tableau, Qlik, or ThoughtSpot. Experience delivering large-scale analytics or data-driven products. Artificial Intelligence & Generative AI Experience leading or supporting AI and Generative AI initiatives. Working knowledge of: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) AI Agents and Agentic Workflows Vector Databases Prompt Engineering Understanding of AI governance, responsible AI practices, and enterprise AI adoption. Development & Delivery Tooling Experience with: Jira Confluence Azure DevOps GitHub Git Microsoft 365 Ecosystem Ability to manage technical backlogs, releases, sprint planning, and delivery metrics. Governance, Security & Compliance Familiarity with: Security Reviews Risk Assessments Data Privacy Requirements AI Governance Frameworks Computer System Validation (CSV) GxP and Regulated Environments (preferred) Preferred Qualifications: Experience in Life Sciences, Pharmaceutical, Clinical Development, Healthcare, or Medical Technology industries. Experience supporting enterprise analytics and AI platforms. Experience managing global delivery teams and third-party vendors. Experience building business cases, ROI analyses, and value realization frameworks. Background in management consulting, technology strategy, or digital transformation.
10/29/2026
Full time
Job Description EazyML, Recognized by Gartner, EazyML () specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation and The company is associated with breakthrough startups like Amelia.ai. We are seeking a highly experienced Principal Product & TechnologyLead to partner with business and technology leaders in driving strategy, delivery, and adoption of enterprise analytics, AI, and digital platforms. This individual will serve as a trusted advisor to stakeholders while leading cross-functional teams, managing complex technology initiatives, and ensuring delivery of measurable business value. The ideal candidate combines product leadership, technical depth, strategic thinking, and execution excellence to successfully lead initiatives spanning data, analytics, AI/GenAI, and enterprise application platforms. Key Responsibilities Product Strategy & Portfolio Management Define product vision, roadmap, and prioritization across a portfolio of analytics, data, AI, and digital solutions. Partner with business stakeholders to identify opportunities, define requirements, and deliver business outcomes. Develop and maintain product backlogs, release plans, success metrics, and adoption strategies. Drive value realization through measurable business outcomes and ROI tracking. Technology Leadership Provide technical leadership across architecture, design, integration, and platform modernization initiatives. Collaborate with engineering teams to ensure scalable, secure, and maintainable solutions. Guide solution design reviews and technical decision-making. Promote engineering best practices, automation, DevOps, and AI-assisted development approaches. AI & Innovation Identify, evaluate, and drive AI/GenAI use cases from concept through implementation. Partner with business and technical teams to define AI product strategy and business value. Support the adoption of emerging technologies including Generative AI, AI Agents, and automation capabilities. Ensure alignment with Responsible AI and governance requirements. Program & Delivery Leadership Lead planning, execution, and delivery across multiple concurrent initiatives. Manage dependencies, risks, issues, and stakeholder communications. Facilitate Agile ceremonies, roadmap reviews, governance forums, and executive updates. Coordinate cross-functional teams including Product, Engineering, Data, Quality, Operations, and Business partners. Stakeholder & Vendor Management Serve as a trusted advisor to business and technology leadership. Drive alignment across internal teams and external vendor partners. Lead executive presentations, strategic planning discussions, and steering committee reviews. Establish accountability and ensure successful delivery against commitments. Governance & Compliance Support architecture reviews, security assessments, and technology governance processes. Ensure compliance with applicable regulatory, privacy, security, and enterprise standards. Maintain appropriate documentation, controls, and audit readiness. Required Qualifications: Experience Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. 10+ years of experience in Product Management, Technology Delivery, Solution Architecture, Engineering Leadership, or Technology Consulting. Proven experience leading enterprise-scale digital, analytics, data, or AI product initiatives. Experience managing global cross-functional teams and large-scale technology programs. Strong executive presence with the ability to communicate effectively with both technical and business audiences. Technical Requirements: Product & Delivery Expertise in product strategy, roadmap development, backlog management, and release planning. Strong understanding of Agile, Scrum, and modern product development methodologies. Experience managing complex technology portfolios and delivery roadmaps. Software Engineering & Architecture Strong understanding of Software Development Life Cycle (SDLC). Experience with enterprise application architecture and integration patterns. Knowledge of APIs, microservices, event-driven architectures, and distributed systems. Familiarity with frontend, backend, and cloud-native application development. Cloud & Platform Technologies Experience with one or more cloud platforms including Azure, AWS, or GCP. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Understanding of cloud migration, platform modernization, and scalable architecture design. Data & Analytics Strong understanding of: SQL Data Warehousing Data Modeling ETL/ELT Pipelines Enterprise Data Platforms Experience with analytics and business intelligence tools including Power BI, Tableau, Qlik, or ThoughtSpot. Experience delivering large-scale analytics or data-driven products. Artificial Intelligence & Generative AI Experience leading or supporting AI and Generative AI initiatives. Working knowledge of: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) AI Agents and Agentic Workflows Vector Databases Prompt Engineering Understanding of AI governance, responsible AI practices, and enterprise AI adoption. Development & Delivery Tooling Experience with: Jira Confluence Azure DevOps GitHub Git Microsoft 365 Ecosystem Ability to manage technical backlogs, releases, sprint planning, and delivery metrics. Governance, Security & Compliance Familiarity with: Security Reviews Risk Assessments Data Privacy Requirements AI Governance Frameworks Computer System Validation (CSV) GxP and Regulated Environments (preferred) Preferred Qualifications: Experience in Life Sciences, Pharmaceutical, Clinical Development, Healthcare, or Medical Technology industries. Experience supporting enterprise analytics and AI platforms. Experience managing global delivery teams and third-party vendors. Experience building business cases, ROI analyses, and value realization frameworks. Background in management consulting, technology strategy, or digital transformation.
Job Description We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000, and has 58 offices in 22 countries within key global markets. Our challenge We are seeking a skilled React.js Developer with working experience in Python programming to join our development team. The ideal candidate will be responsible for building responsive, scalable, and user-friendly web applications using React.js, while also contributing to backend services, APIs, automation, and integrations developed in Python. Additional Information The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC is $105k - $115k/year & benefits (see below). The Role Responsibilities: Develop, maintain, and enhance responsive web applications using React.js. Build reusable, scalable, and high-performance UI components. Translate business requirements, wireframes, and designs into functional user interfaces. Integrate frontend applications with RESTful APIs and backend services. Work with databases and support data retrieval, processing, and validation. Collaborate with backend developers to design and implement efficient application functionality. Write clean, maintainable, well-documented, and reusable code. Identify, troubleshoot, and resolve application defects and performance issues. Participate in code reviews, contribute to development standards, and best practices. Write and maintain unit, integration, and functional tests. Use Git for source control and participate in Agile/Scrum development processes. Support application deployment, monitoring, and ongoing maintenance. Stay current with emerging frontend and backend technologies. Requirements: Bachelor's degree in computer science, Information Technology, Engineering, or a related field, or equivalent practical experience. 6+ years of professional experience in React.js or frontend development. Strong knowledge of React.js, JavaScript and/or TypeScript, HTML5 and CSS3, Responsive web design, State management concepts, such as Redux, Context API, or similar and RESTful API integration Understanding of object-oriented programming and software development principles. Experience working with Git and code collaboration workflows. Basic knowledge of SQL and relational or NoSQL databases. Ability to debug issues across frontend and backend systems. Good communication, analytical, and problem-solving skills. Preferred Skills: Experience developing or consuming APIs using Python. Knowledge of automated testing tools such as Jest, React Testing Library, PyTest, or similar. Exposure to Docker, CI/CD pipelines, and cloud platforms such as AWS, Azure, or Google Cloud. We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 22 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. S YNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
10/29/2026
Full time
Job Description We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000, and has 58 offices in 22 countries within key global markets. Our challenge We are seeking a skilled React.js Developer with working experience in Python programming to join our development team. The ideal candidate will be responsible for building responsive, scalable, and user-friendly web applications using React.js, while also contributing to backend services, APIs, automation, and integrations developed in Python. Additional Information The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC is $105k - $115k/year & benefits (see below). The Role Responsibilities: Develop, maintain, and enhance responsive web applications using React.js. Build reusable, scalable, and high-performance UI components. Translate business requirements, wireframes, and designs into functional user interfaces. Integrate frontend applications with RESTful APIs and backend services. Work with databases and support data retrieval, processing, and validation. Collaborate with backend developers to design and implement efficient application functionality. Write clean, maintainable, well-documented, and reusable code. Identify, troubleshoot, and resolve application defects and performance issues. Participate in code reviews, contribute to development standards, and best practices. Write and maintain unit, integration, and functional tests. Use Git for source control and participate in Agile/Scrum development processes. Support application deployment, monitoring, and ongoing maintenance. Stay current with emerging frontend and backend technologies. Requirements: Bachelor's degree in computer science, Information Technology, Engineering, or a related field, or equivalent practical experience. 6+ years of professional experience in React.js or frontend development. Strong knowledge of React.js, JavaScript and/or TypeScript, HTML5 and CSS3, Responsive web design, State management concepts, such as Redux, Context API, or similar and RESTful API integration Understanding of object-oriented programming and software development principles. Experience working with Git and code collaboration workflows. Basic knowledge of SQL and relational or NoSQL databases. Ability to debug issues across frontend and backend systems. Good communication, analytical, and problem-solving skills. Preferred Skills: Experience developing or consuming APIs using Python. Knowledge of automated testing tools such as Jest, React Testing Library, PyTest, or similar. Exposure to Docker, CI/CD pipelines, and cloud platforms such as AWS, Azure, or Google Cloud. We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 22 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. S YNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Job Description We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000, and has 58 offices in 22 countries within key global markets. Our challenge We are seeking a skilled React.js Developer with working experience in Python programming to join our development team. The ideal candidate will be responsible for building responsive, scalable, and user-friendly web applications using React.js, while also contributing to backend services, APIs, automation, and integrations developed in Python. Additional Information The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC is $105k - $115k/year & benefits (see below). The Role Responsibilities: Develop, maintain, and enhance responsive web applications using React.js. Build reusable, scalable, and high-performance UI components. Translate business requirements, wireframes, and designs into functional user interfaces. Integrate frontend applications with RESTful APIs and backend services. Work with databases and support data retrieval, processing, and validation. Collaborate with backend developers to design and implement efficient application functionality. Write clean, maintainable, well-documented, and reusable code. Identify, troubleshoot, and resolve application defects and performance issues. Participate in code reviews, contribute to development standards, and best practices. Write and maintain unit, integration, and functional tests. Use Git for source control and participate in Agile/Scrum development processes. Support application deployment, monitoring, and ongoing maintenance. Stay current with emerging frontend and backend technologies. Requirements: Bachelor's degree in computer science, Information Technology, Engineering, or a related field, or equivalent practical experience. 6+ years of professional experience in React.js or frontend development. Strong knowledge of React.js, JavaScript and/or TypeScript, HTML5 and CSS3, Responsive web design, State management concepts, such as Redux, Context API, or similar and RESTful API integration Understanding of object-oriented programming and software development principles. Experience working with Git and code collaboration workflows. Basic knowledge of SQL and relational or NoSQL databases. Ability to debug issues across frontend and backend systems. Good communication, analytical, and problem-solving skills. Preferred Skills: Experience developing or consuming APIs using Python. Knowledge of automated testing tools such as Jest, React Testing Library, PyTest, or similar. Exposure to Docker, CI/CD pipelines, and cloud platforms such as AWS, Azure, or Google Cloud. We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 22 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. S YNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
10/29/2026
Full time
Job Description We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000, and has 58 offices in 22 countries within key global markets. Our challenge We are seeking a skilled React.js Developer with working experience in Python programming to join our development team. The ideal candidate will be responsible for building responsive, scalable, and user-friendly web applications using React.js, while also contributing to backend services, APIs, automation, and integrations developed in Python. Additional Information The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC is $105k - $115k/year & benefits (see below). The Role Responsibilities: Develop, maintain, and enhance responsive web applications using React.js. Build reusable, scalable, and high-performance UI components. Translate business requirements, wireframes, and designs into functional user interfaces. Integrate frontend applications with RESTful APIs and backend services. Work with databases and support data retrieval, processing, and validation. Collaborate with backend developers to design and implement efficient application functionality. Write clean, maintainable, well-documented, and reusable code. Identify, troubleshoot, and resolve application defects and performance issues. Participate in code reviews, contribute to development standards, and best practices. Write and maintain unit, integration, and functional tests. Use Git for source control and participate in Agile/Scrum development processes. Support application deployment, monitoring, and ongoing maintenance. Stay current with emerging frontend and backend technologies. Requirements: Bachelor's degree in computer science, Information Technology, Engineering, or a related field, or equivalent practical experience. 6+ years of professional experience in React.js or frontend development. Strong knowledge of React.js, JavaScript and/or TypeScript, HTML5 and CSS3, Responsive web design, State management concepts, such as Redux, Context API, or similar and RESTful API integration Understanding of object-oriented programming and software development principles. Experience working with Git and code collaboration workflows. Basic knowledge of SQL and relational or NoSQL databases. Ability to debug issues across frontend and backend systems. Good communication, analytical, and problem-solving skills. Preferred Skills: Experience developing or consuming APIs using Python. Knowledge of automated testing tools such as Jest, React Testing Library, PyTest, or similar. Exposure to Docker, CI/CD pipelines, and cloud platforms such as AWS, Azure, or Google Cloud. We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 22 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. S YNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Job Description Job Description Indent : PSL307991-4 Role : Informatica IDMC Platform Operations and Engineer (3 Open position) Location : Charlotte, NC (Hybrid) Rate: $55 to $60/hr Role Overview We are seeking an experienced Informatica Platform Operations and Engineer to manage, engineer, secure, and support enterprise Informatica platforms. The role requires strong hands-on knowledge of Informatica Intelligent Data Management Cloud, or IDMC, including its Cloud Data Integration capabilities and the cloud-based successor technologies used for enterprise data integration. IDMC provides services for building mappings, tasks, and taskflows, while its administrative capabilities include user and privilege management, Secure Agent and runtime environment configuration, connections, licenses, and schedules. The engineer will be responsible for platform administration, environment reliability, security compliance, cloud migration, operational support, automation, monitoring, upgrades, and engineering improvements. The role will work closely with Application Security, Infrastructure, Cloud Engineering, Data Engineering, Architecture, IAM, DevOps, and Production Support teams. Key Responsibilities Informatica IDMC Platform Engineering Engineer, administer, configure, and support enterprise Informatica IDMC environments. Support Informatica Cloud Data Integration services, including mappings, mapping tasks, taskflows, schedules, connections, and runtime environments. Install, configure, manage, patch, and troubleshoot Informatica Secure Agents and Secure Agent groups. Support IDMC runtime environments across cloud, on-premises, and hybrid infrastructure. Configure and maintain connections to databases, cloud data platforms, applications, APIs, file systems, and other enterprise data sources. Manage platform configurations across development, testing, UAT, pre-production, disaster recovery, and production environments. Participate in the migration and modernization of Informatica PowerCenter workloads to IDMC and Cloud Data Integration. Support CIBDC/CDI Advanced or equivalent cloud-native Informatica data integration capabilities. Evaluate platform enhancements and implement reusable engineering standards, configuration patterns, and operational controls. Platform Operations and Production Support Monitor the health, availability, capacity, performance, and utilization of Informatica platform services. Troubleshoot failed workflows, mappings, tasks, taskflows, connections, agent services, and runtime environment issues. Analyze platform logs and operational alerts to identify root causes and restore services. Provide production support and serve as an escalation point for complex Informatica platform incidents. Lead incident triage, problem management, root cause analysis, and preventive remediation. Develop and maintain operational dashboards, alerts, health checks, and platform availability reports. Participate in release, change, incident, problem, and configuration management processes. Support production deployments, maintenance activities, disaster recovery exercises, and environment validation. Create and maintain support documentation, knowledge articles, operating procedures, architecture diagrams, and recovery runbooks. Internal CCIBT platform-support materials emphasize production monitoring, deployments, vulnerability remediation, security patching, operational documentation, and alignment with IT service-management processes. Application Security and Access Management Partner with the Application Security team to implement secure platform configurations and operational controls. Administer IDMC users, user groups, roles, privileges, permissions, and project-level access. Implement and support role-based access control and least-privilege access principles. Integrate the platform with enterprise authentication, authorization, and identity-management services. Perform periodic access reviews and assist with the remediation of inappropriate or outdated access. Manage service accounts, technical accounts, credentials, certificates, secrets, and connection security in accordance with enterprise policies. Support vulnerability remediation, security patching, certificate renewal, credential rotation, and platform hardening. Provide technical evidence and platform documentation for security reviews, risk assessments, and audit requests. Investigate access-related incidents and work with security teams to implement corrective actions. Ensure that sensitive configuration information and credentials are appropriately protected. Cloud Migration and Modernization Support migration from legacy Informatica PowerCenter and related on-premises components to IDMC. Assess existing mappings, workflows, sessions, schedules, dependencies, and connections for cloud migration. Identify compatibility gaps and recommend remediation or redesign approaches. Plan and execute migration, testing, validation, cutover, and stabilization activities. Support coexistence between legacy PowerCenter and IDMC during phased migration. Establish cloud-ready development, deployment, monitoring, and support standards. Optimize migrated workloads for performance, maintainability, scalability, security, and operational supportability. Maintain traceability between legacy Informatica assets and corresponding IDMC assets. DevOps, Automation and Release Engineering Automate repetitive platform administration and operational activities using scripting and APIs. Develop automation for environment provisioning, deployment, configuration validation, monitoring, health checks, and operational reporting. Integrate Informatica deployments with enterprise CI/CD pipelines. Support source control, version management, automated deployment, rollback, and release traceability. Promote consistent configurations and deployment processes across multiple environments. Develop reusable automation using shell scripting, Python, PowerShell, REST APIs, or equivalent technologies. Support release validation and post-deployment verification. Identify opportunities to reduce manual effort and improve platform reliability through automation. Reliability, Performance and Capacity Management Establish platform monitoring and service-health indicators for critical Informatica components. Perform performance analysis and tuning for mappings, tasks, taskflows, runtime environments, and Secure Agents. Monitor CPU, memory, storage, network, connection, and workload utilization. Identify bottlenecks involving source systems, target systems, agents, runtime clusters, or data-processing logic. Conduct capacity and growth analysis and recommend scaling actions. Support high availability, resiliency, backup, recovery, and disaster-recovery requirements. Validate restart, recovery, job resumption, and failure-handling procedures. Drive improvements that increase platform stability, supportability, and operational readiness. Stakeholder Collaboration Work closely with Informatica developers, data engineers, application owners, security teams, IAM teams, cloud engineers, database administrators, network teams, and infrastructure engineers. Provide platform guidance to application teams designing or migrating Informatica workloads. Review solution designs for operational readiness, security, supportability, and compliance with platform standards. Coordinate with Informatica support for product defects, platform issues, and complex troubleshooting. Communicate platform risks, issues, dependencies, and remediation plans to technical and management stakeholders. Provide technical leadership and mentoring to platform operations and engineering team members. Required Qualifications Strong professional experience in Informatica platform administration, platform engineering, or platform operations. Hands-on experience with Informatica IDMC and Cloud Data Integration. Experience managing Informatica Secure Agents, runtime environments, connections, schedules, users, groups, roles, and privileges. Experience supporting enterprise Informatica environments across development, testing, UAT, and production. Strong troubleshooting experience involving Informatica mappings, tasks, taskflows, agents, connectors, and platform services. Experience with Informatica PowerCenter administration and cloud-migration initiatives. Understanding of IDMC platform security, access management, credential management, and role-based access control. Experience supporting production incidents, root cause analysis, release management, and change management. Experience with public cloud or hybrid-cloud environments. Strong knowledge of Linux or Unix administration and scripting. Experience with REST APIs, automation, and CI/CD tools. Working knowledge of databases and SQL. Knowledge of networking concepts, including DNS, firewalls, proxies, ports, certificates, and secure connectivity. Experience creating operational documentation, SOPs, runbooks, and troubleshooting guides. Strong analytical . click apply for full job details
10/28/2026
Full time
Job Description Job Description Indent : PSL307991-4 Role : Informatica IDMC Platform Operations and Engineer (3 Open position) Location : Charlotte, NC (Hybrid) Rate: $55 to $60/hr Role Overview We are seeking an experienced Informatica Platform Operations and Engineer to manage, engineer, secure, and support enterprise Informatica platforms. The role requires strong hands-on knowledge of Informatica Intelligent Data Management Cloud, or IDMC, including its Cloud Data Integration capabilities and the cloud-based successor technologies used for enterprise data integration. IDMC provides services for building mappings, tasks, and taskflows, while its administrative capabilities include user and privilege management, Secure Agent and runtime environment configuration, connections, licenses, and schedules. The engineer will be responsible for platform administration, environment reliability, security compliance, cloud migration, operational support, automation, monitoring, upgrades, and engineering improvements. The role will work closely with Application Security, Infrastructure, Cloud Engineering, Data Engineering, Architecture, IAM, DevOps, and Production Support teams. Key Responsibilities Informatica IDMC Platform Engineering Engineer, administer, configure, and support enterprise Informatica IDMC environments. Support Informatica Cloud Data Integration services, including mappings, mapping tasks, taskflows, schedules, connections, and runtime environments. Install, configure, manage, patch, and troubleshoot Informatica Secure Agents and Secure Agent groups. Support IDMC runtime environments across cloud, on-premises, and hybrid infrastructure. Configure and maintain connections to databases, cloud data platforms, applications, APIs, file systems, and other enterprise data sources. Manage platform configurations across development, testing, UAT, pre-production, disaster recovery, and production environments. Participate in the migration and modernization of Informatica PowerCenter workloads to IDMC and Cloud Data Integration. Support CIBDC/CDI Advanced or equivalent cloud-native Informatica data integration capabilities. Evaluate platform enhancements and implement reusable engineering standards, configuration patterns, and operational controls. Platform Operations and Production Support Monitor the health, availability, capacity, performance, and utilization of Informatica platform services. Troubleshoot failed workflows, mappings, tasks, taskflows, connections, agent services, and runtime environment issues. Analyze platform logs and operational alerts to identify root causes and restore services. Provide production support and serve as an escalation point for complex Informatica platform incidents. Lead incident triage, problem management, root cause analysis, and preventive remediation. Develop and maintain operational dashboards, alerts, health checks, and platform availability reports. Participate in release, change, incident, problem, and configuration management processes. Support production deployments, maintenance activities, disaster recovery exercises, and environment validation. Create and maintain support documentation, knowledge articles, operating procedures, architecture diagrams, and recovery runbooks. Internal CCIBT platform-support materials emphasize production monitoring, deployments, vulnerability remediation, security patching, operational documentation, and alignment with IT service-management processes. Application Security and Access Management Partner with the Application Security team to implement secure platform configurations and operational controls. Administer IDMC users, user groups, roles, privileges, permissions, and project-level access. Implement and support role-based access control and least-privilege access principles. Integrate the platform with enterprise authentication, authorization, and identity-management services. Perform periodic access reviews and assist with the remediation of inappropriate or outdated access. Manage service accounts, technical accounts, credentials, certificates, secrets, and connection security in accordance with enterprise policies. Support vulnerability remediation, security patching, certificate renewal, credential rotation, and platform hardening. Provide technical evidence and platform documentation for security reviews, risk assessments, and audit requests. Investigate access-related incidents and work with security teams to implement corrective actions. Ensure that sensitive configuration information and credentials are appropriately protected. Cloud Migration and Modernization Support migration from legacy Informatica PowerCenter and related on-premises components to IDMC. Assess existing mappings, workflows, sessions, schedules, dependencies, and connections for cloud migration. Identify compatibility gaps and recommend remediation or redesign approaches. Plan and execute migration, testing, validation, cutover, and stabilization activities. Support coexistence between legacy PowerCenter and IDMC during phased migration. Establish cloud-ready development, deployment, monitoring, and support standards. Optimize migrated workloads for performance, maintainability, scalability, security, and operational supportability. Maintain traceability between legacy Informatica assets and corresponding IDMC assets. DevOps, Automation and Release Engineering Automate repetitive platform administration and operational activities using scripting and APIs. Develop automation for environment provisioning, deployment, configuration validation, monitoring, health checks, and operational reporting. Integrate Informatica deployments with enterprise CI/CD pipelines. Support source control, version management, automated deployment, rollback, and release traceability. Promote consistent configurations and deployment processes across multiple environments. Develop reusable automation using shell scripting, Python, PowerShell, REST APIs, or equivalent technologies. Support release validation and post-deployment verification. Identify opportunities to reduce manual effort and improve platform reliability through automation. Reliability, Performance and Capacity Management Establish platform monitoring and service-health indicators for critical Informatica components. Perform performance analysis and tuning for mappings, tasks, taskflows, runtime environments, and Secure Agents. Monitor CPU, memory, storage, network, connection, and workload utilization. Identify bottlenecks involving source systems, target systems, agents, runtime clusters, or data-processing logic. Conduct capacity and growth analysis and recommend scaling actions. Support high availability, resiliency, backup, recovery, and disaster-recovery requirements. Validate restart, recovery, job resumption, and failure-handling procedures. Drive improvements that increase platform stability, supportability, and operational readiness. Stakeholder Collaboration Work closely with Informatica developers, data engineers, application owners, security teams, IAM teams, cloud engineers, database administrators, network teams, and infrastructure engineers. Provide platform guidance to application teams designing or migrating Informatica workloads. Review solution designs for operational readiness, security, supportability, and compliance with platform standards. Coordinate with Informatica support for product defects, platform issues, and complex troubleshooting. Communicate platform risks, issues, dependencies, and remediation plans to technical and management stakeholders. Provide technical leadership and mentoring to platform operations and engineering team members. Required Qualifications Strong professional experience in Informatica platform administration, platform engineering, or platform operations. Hands-on experience with Informatica IDMC and Cloud Data Integration. Experience managing Informatica Secure Agents, runtime environments, connections, schedules, users, groups, roles, and privileges. Experience supporting enterprise Informatica environments across development, testing, UAT, and production. Strong troubleshooting experience involving Informatica mappings, tasks, taskflows, agents, connectors, and platform services. Experience with Informatica PowerCenter administration and cloud-migration initiatives. Understanding of IDMC platform security, access management, credential management, and role-based access control. Experience supporting production incidents, root cause analysis, release management, and change management. Experience with public cloud or hybrid-cloud environments. Strong knowledge of Linux or Unix administration and scripting. Experience with REST APIs, automation, and CI/CD tools. Working knowledge of databases and SQL. Knowledge of networking concepts, including DNS, firewalls, proxies, ports, certificates, and secure connectivity. Experience creating operational documentation, SOPs, runbooks, and troubleshooting guides. Strong analytical . click apply for full job details
Job Description Job Description Immediate need for a talented Data Architect. This is a 12+months contract opportunity with long-term potential and is located in Columbus, IN (Onsite) . Please review the job description below and contact me ASAP if you are interested. Job ID:26-33600 Pay Range: $65 - $70/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Work Focus: 70%: Data Architecture, AI Governance, AI Agents, and Computer Vision 30%: DevOps, SecOps, and production deployment Data Architecture and Governance - 35% Define and implement enterprise data integration and storage strategies. Design scalable architectures for databases, data lakes, APIs, and analytics platforms. Develop physical, logical, and metadata models. Establish data quality, accuracy, ownership, lineage, retention, and access-control standards. Define governance metrics and monitor alignment with enterprise data strategies. Lead data migration, transformation, validation, and modernization activities. Align solution architecture with central enterprise architecture standards. Design and implement microservices and reusable data services. Monitor and optimize database performance, scalability, availability, and cost. Support analytics, reporting, and data-lake integration. AI Governance, AI Agents, and Knowledge Solutions - 25% Develop a strategy for making trusted enterprise data available to AI applications and agents. Define AI governance standards covering security, privacy, traceability, model risk, human oversight, and responsible AI. Identify and prioritize knowledge-based AI and agentic AI use cases. Design knowledge repositories, semantic search, vector databases, and retrieval-augmented generation solutions. Develop AI solutions from proof of concept through production readiness. Create reusable frameworks for subject-matter-expert agents and enterprise knowledge assistants. Establish long-term support, ownership, lifecycle, and sustainability plans for AI solutions. Define AI performance, accuracy, adoption, cost, and business-value metrics. Implement monitoring for model quality, data drift, hallucination risk, and solution reliability. Computer Vision - 10% Design and implement computer vision solutions for image and video analysis. Develop pipelines for image ingestion, annotation, preprocessing, model training, inference, and monitoring. Support use cases such as object detection, classification, OCR, defect identification, visual inspection, and document-image processing. Evaluate computer vision models and services based on accuracy, latency, scalability, explainability, and cost. Establish governance standards for image data, labeling quality, model validation, privacy, and retention. Deploy computer vision solutions using cloud, edge, or hybrid architectures. Transition computer vision prototypes into reliable production applications. DevOps and SecOps - 30% Establish software development, coding, documentation, testing, and code-review standards. Design and optimize CI/CD and DevSecOps pipelines. Automate application, infrastructure, database, and AI-model deployments. Integrate static code analysis, dependency scanning, container scanning, secret detection, and vulnerability management. Define encryption, identity, access-control, auditing, logging, and sensitive-data handling requirements. Ensure compliance with enterprise cybersecurity and regulatory requirements. Support containerized and microservices-based deployments. Implement monitoring, alerting, incident response, backup, recovery, and operational-support processes. Troubleshoot production issues and drive root-cause analysis and corrective actions. Develop implementation roadmaps in coordination with technical and business leadership. Key Requirements and Technology Experience: Bachelor's degree in Computer Science, Data Science, Software Engineering, Information Systems, Electrical Engineering, or a related technical field. Seven or more years of experience in data engineering, software development, cloud architecture, AI/ML, or related areas. Three or more years of experience designing enterprise data or solution architectures. Hands-on experience with AWS cloud services and cloud-native solution development. Strong experience with relational databases, NoSQL databases, data lakes, and data warehouses. Experience developing data integration pipelines using ETL/ELT, APIs, messaging, or event-driven architectures. Strong knowledge of data modeling, metadata management, data lineage, data quality, and governance. Experience developing or deploying AI, machine learning, generative AI, or knowledge-based solutions. Working knowledge of computer vision concepts and image-processing workflows. Experience implementing CI/CD pipelines and DevSecOps controls. Strong understanding of encryption, identity management, access controls, audit logging, and secure handling of sensitive data. Proficiency in Python and SQL. Experience with Git-based development, automated testing, and code-review practices. Ability to translate business requirements into scalable technical solutions. Strong communication skills with the ability to work across architecture, cybersecurity, engineering, IT, and business teams. Cloud: AWS, including services for compute, storage, databases, security, monitoring, and AI/ML Programming: Python, SQL, scripting, and API development Data Platforms: Relational databases, NoSQL, data lakes, data warehouses, and vector databases Data Integration: ETL/ELT, REST APIs, event streaming, messaging, and microservices AI: Generative AI, AI agents, RAG, prompt orchestration, embeddings, model evaluation, and responsible AI controls Computer Vision: OpenCV, image preprocessing, classification, object detection, OCR, model evaluation, and inference pipelines DevOps: Git, automated testing, CI/CD, infrastructure as code, release management, and environment management Containers: Docker and Kubernetes or equivalent container platforms Security: Secure coding, vulnerability scanning, secrets management, IAM, encryption, audit logging, and compliance Monitoring: Application, database, pipeline, infrastructure, and AI-model observability Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.
10/28/2026
Full time
Job Description Job Description Immediate need for a talented Data Architect. This is a 12+months contract opportunity with long-term potential and is located in Columbus, IN (Onsite) . Please review the job description below and contact me ASAP if you are interested. Job ID:26-33600 Pay Range: $65 - $70/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Work Focus: 70%: Data Architecture, AI Governance, AI Agents, and Computer Vision 30%: DevOps, SecOps, and production deployment Data Architecture and Governance - 35% Define and implement enterprise data integration and storage strategies. Design scalable architectures for databases, data lakes, APIs, and analytics platforms. Develop physical, logical, and metadata models. Establish data quality, accuracy, ownership, lineage, retention, and access-control standards. Define governance metrics and monitor alignment with enterprise data strategies. Lead data migration, transformation, validation, and modernization activities. Align solution architecture with central enterprise architecture standards. Design and implement microservices and reusable data services. Monitor and optimize database performance, scalability, availability, and cost. Support analytics, reporting, and data-lake integration. AI Governance, AI Agents, and Knowledge Solutions - 25% Develop a strategy for making trusted enterprise data available to AI applications and agents. Define AI governance standards covering security, privacy, traceability, model risk, human oversight, and responsible AI. Identify and prioritize knowledge-based AI and agentic AI use cases. Design knowledge repositories, semantic search, vector databases, and retrieval-augmented generation solutions. Develop AI solutions from proof of concept through production readiness. Create reusable frameworks for subject-matter-expert agents and enterprise knowledge assistants. Establish long-term support, ownership, lifecycle, and sustainability plans for AI solutions. Define AI performance, accuracy, adoption, cost, and business-value metrics. Implement monitoring for model quality, data drift, hallucination risk, and solution reliability. Computer Vision - 10% Design and implement computer vision solutions for image and video analysis. Develop pipelines for image ingestion, annotation, preprocessing, model training, inference, and monitoring. Support use cases such as object detection, classification, OCR, defect identification, visual inspection, and document-image processing. Evaluate computer vision models and services based on accuracy, latency, scalability, explainability, and cost. Establish governance standards for image data, labeling quality, model validation, privacy, and retention. Deploy computer vision solutions using cloud, edge, or hybrid architectures. Transition computer vision prototypes into reliable production applications. DevOps and SecOps - 30% Establish software development, coding, documentation, testing, and code-review standards. Design and optimize CI/CD and DevSecOps pipelines. Automate application, infrastructure, database, and AI-model deployments. Integrate static code analysis, dependency scanning, container scanning, secret detection, and vulnerability management. Define encryption, identity, access-control, auditing, logging, and sensitive-data handling requirements. Ensure compliance with enterprise cybersecurity and regulatory requirements. Support containerized and microservices-based deployments. Implement monitoring, alerting, incident response, backup, recovery, and operational-support processes. Troubleshoot production issues and drive root-cause analysis and corrective actions. Develop implementation roadmaps in coordination with technical and business leadership. Key Requirements and Technology Experience: Bachelor's degree in Computer Science, Data Science, Software Engineering, Information Systems, Electrical Engineering, or a related technical field. Seven or more years of experience in data engineering, software development, cloud architecture, AI/ML, or related areas. Three or more years of experience designing enterprise data or solution architectures. Hands-on experience with AWS cloud services and cloud-native solution development. Strong experience with relational databases, NoSQL databases, data lakes, and data warehouses. Experience developing data integration pipelines using ETL/ELT, APIs, messaging, or event-driven architectures. Strong knowledge of data modeling, metadata management, data lineage, data quality, and governance. Experience developing or deploying AI, machine learning, generative AI, or knowledge-based solutions. Working knowledge of computer vision concepts and image-processing workflows. Experience implementing CI/CD pipelines and DevSecOps controls. Strong understanding of encryption, identity management, access controls, audit logging, and secure handling of sensitive data. Proficiency in Python and SQL. Experience with Git-based development, automated testing, and code-review practices. Ability to translate business requirements into scalable technical solutions. Strong communication skills with the ability to work across architecture, cybersecurity, engineering, IT, and business teams. Cloud: AWS, including services for compute, storage, databases, security, monitoring, and AI/ML Programming: Python, SQL, scripting, and API development Data Platforms: Relational databases, NoSQL, data lakes, data warehouses, and vector databases Data Integration: ETL/ELT, REST APIs, event streaming, messaging, and microservices AI: Generative AI, AI agents, RAG, prompt orchestration, embeddings, model evaluation, and responsible AI controls Computer Vision: OpenCV, image preprocessing, classification, object detection, OCR, model evaluation, and inference pipelines DevOps: Git, automated testing, CI/CD, infrastructure as code, release management, and environment management Containers: Docker and Kubernetes or equivalent container platforms Security: Secure coding, vulnerability scanning, secrets management, IAM, encryption, audit logging, and compliance Monitoring: Application, database, pipeline, infrastructure, and AI-model observability Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.
Job Description Job Description Position: Agentic AI Data Architect Location: Remote Duration: 6 Months Contract Job Summary: Update: one thing the client is looking for is Azure Data Factory experience for this AI Data Architect. this is a competitive backfill for us and we can win this fairly easily with some solid folks. Top 3 skills we're looking for are: 1. Agentic AI Architecture at an Enterprise level 2. Data Architecture/Engineering exposure. 3. Azure Data Factory (Azure is the environment) Position Summary: We are seeking an experienced Agentic AI Data Architect to design, build, and deploy AI-powered applications that automate business processes and improve decision-making. This is a hands-on technical leadership role focused on developing production-ready AI solutions using large language models (LLMs), agentic AI frameworks, retrieval-augmented generation (RAG), and modern cloud data platforms. The ideal candidate will have a strong background in AI application development, data architecture, and software engineering, along with the ability to guide teams and establish best practices for enterprise AI adoption. Key Responsibilities AI Solution Design & Development: Design and build agentic AI applications that automate business workflows and improve operational efficiency. Develop AI solutions using LLMs, multi-agent architectures, and retrieval-augmented generation (RAG). Create and optimize prompt engineering strategies, reasoning workflows, and AI integrations. Build and maintain APIs, backend services, and AI application components. Evaluate new AI technologies and recommend solutions that drive business value. Data Architecture & Integration Design data retrieval and grounding strategies that connect AI applications to enterprise data sources. Develop vector search, embedding, and knowledge retrieval solutions. Partner with data engineering teams to ensure AI systems leverage reliable and secure data pipelines. Establish standards for AI performance, accuracy, and reliability. Technical Leadership Serve as a technical lead for AI architecture and development initiatives. Provide guidance and mentorship to developers, engineers, and technical teams. Review solution designs and help establish AI development standards and best practices. Translate complex AI concepts into practical solutions for technical and business stakeholders. Platform & Automation Support and enhance enterprise AI platforms and integrations. Implement automation, CI/CD, and Infrastructure-as-Code (IaC) practices for AI deployments. Maintain technical documentation, architecture diagrams, and implementation standards. Required Qualifications 8 years of experience in software engineering, data engineering, AI/ML, or related technical fields. 2 years of hands-on experience building and deploying AI or LLM-based applications. Strong experience with OpenAI, Claude, or similar LLM platforms and APIs. Experience building agentic AI solutions and multi-agent workflows. Strong understanding of prompt engineering, tool usage, and AI application design. Experience designing and implementing RAG solutions and vector search technologies. Proficiency in Python and API development. Experience working with cloud platforms and modern data architectures. Strong communication, leadership, and problem-solving skills. Preferred Qualifications Experience with MCP (Model Context Protocol) and agent orchestration frameworks such as LangGraph, LangChain, CrewAI, or AutoGen. Experience with Databricks, Snowflake, Azure AI services, or similar platforms. Background in workflow automation, analytics, pricing, sales, or customer-facing business applications. Experience working in regulated enterprise environments. Advanced degree in Computer Science, Data Science, AI, or a related field. Technical Environment Experience with the following technologies is highly desirable: OpenAI, Azure OpenAI, Claude MCP (Model Context Protocol) Python, FastAPI LangChain, LangGraph, CrewAI Databricks, Delta Lake Vector databases and semantic search platforms Azure, AWS, or other cloud environments CI/CD pipelines and Infrastructure as Code (Terraform, GitHub Actions, Azure DevOps) Success in This Role Success will be measured by: Delivery of scalable, production-ready AI applications. Ability to move AI use cases from concept to deployment. Technical leadership and mentorship of engineering teams. Quality, reliability, and business impact of AI solutions. Effective collaboration with engineering, data, and business stakeholders
10/28/2026
Full time
Job Description Job Description Position: Agentic AI Data Architect Location: Remote Duration: 6 Months Contract Job Summary: Update: one thing the client is looking for is Azure Data Factory experience for this AI Data Architect. this is a competitive backfill for us and we can win this fairly easily with some solid folks. Top 3 skills we're looking for are: 1. Agentic AI Architecture at an Enterprise level 2. Data Architecture/Engineering exposure. 3. Azure Data Factory (Azure is the environment) Position Summary: We are seeking an experienced Agentic AI Data Architect to design, build, and deploy AI-powered applications that automate business processes and improve decision-making. This is a hands-on technical leadership role focused on developing production-ready AI solutions using large language models (LLMs), agentic AI frameworks, retrieval-augmented generation (RAG), and modern cloud data platforms. The ideal candidate will have a strong background in AI application development, data architecture, and software engineering, along with the ability to guide teams and establish best practices for enterprise AI adoption. Key Responsibilities AI Solution Design & Development: Design and build agentic AI applications that automate business workflows and improve operational efficiency. Develop AI solutions using LLMs, multi-agent architectures, and retrieval-augmented generation (RAG). Create and optimize prompt engineering strategies, reasoning workflows, and AI integrations. Build and maintain APIs, backend services, and AI application components. Evaluate new AI technologies and recommend solutions that drive business value. Data Architecture & Integration Design data retrieval and grounding strategies that connect AI applications to enterprise data sources. Develop vector search, embedding, and knowledge retrieval solutions. Partner with data engineering teams to ensure AI systems leverage reliable and secure data pipelines. Establish standards for AI performance, accuracy, and reliability. Technical Leadership Serve as a technical lead for AI architecture and development initiatives. Provide guidance and mentorship to developers, engineers, and technical teams. Review solution designs and help establish AI development standards and best practices. Translate complex AI concepts into practical solutions for technical and business stakeholders. Platform & Automation Support and enhance enterprise AI platforms and integrations. Implement automation, CI/CD, and Infrastructure-as-Code (IaC) practices for AI deployments. Maintain technical documentation, architecture diagrams, and implementation standards. Required Qualifications 8 years of experience in software engineering, data engineering, AI/ML, or related technical fields. 2 years of hands-on experience building and deploying AI or LLM-based applications. Strong experience with OpenAI, Claude, or similar LLM platforms and APIs. Experience building agentic AI solutions and multi-agent workflows. Strong understanding of prompt engineering, tool usage, and AI application design. Experience designing and implementing RAG solutions and vector search technologies. Proficiency in Python and API development. Experience working with cloud platforms and modern data architectures. Strong communication, leadership, and problem-solving skills. Preferred Qualifications Experience with MCP (Model Context Protocol) and agent orchestration frameworks such as LangGraph, LangChain, CrewAI, or AutoGen. Experience with Databricks, Snowflake, Azure AI services, or similar platforms. Background in workflow automation, analytics, pricing, sales, or customer-facing business applications. Experience working in regulated enterprise environments. Advanced degree in Computer Science, Data Science, AI, or a related field. Technical Environment Experience with the following technologies is highly desirable: OpenAI, Azure OpenAI, Claude MCP (Model Context Protocol) Python, FastAPI LangChain, LangGraph, CrewAI Databricks, Delta Lake Vector databases and semantic search platforms Azure, AWS, or other cloud environments CI/CD pipelines and Infrastructure as Code (Terraform, GitHub Actions, Azure DevOps) Success in This Role Success will be measured by: Delivery of scalable, production-ready AI applications. Ability to move AI use cases from concept to deployment. Technical leadership and mentorship of engineering teams. Quality, reliability, and business impact of AI solutions. Effective collaboration with engineering, data, and business stakeholders
Job Description Job Description This job is hybrid in Phoenix,AZ Our direct client has an opening for a Solution Architect - 9150 This position is up to 6 months, with the option of extension, and is located in Phoenix, AZ. If you are interested, please submit the following: YOUR CURRENT RESUME YOUR HOURLY RATE We can work w2 or corp to corp. Solution Architect - Data The Solution Architect - Data is responsible for contributing to the design, modernization, and optimization of enterprise-scale data systems, as well as the maintenance and operations strategy for CHP. This role involves designing and implementing data systems that organize, store, and manage data within our cloud data platform. The architect will perform continuous maintenance and operations work for CHP in the cloud environment. They will review and analyze CHP's data infrastructure, plan future database solutions, and implement systems to support data management for CHP users. Additionally, this role is accountable for ensuring data integrity, making sure the CHP team adheres to data governance standards to maintain accuracy, consistency, and reliability across all systems. The architect will identify data discrepancies and quality issues, and work to resolve them. This position requires a strong blend of architectural leadership, technical depth, and the ability to collaborate with business stakeholders, data engineers, machine learning practitioners, and domain experts to deliver scalable, secure, and reliable AI-driven solutions. The ideal candidate will have a proven track record of delivering end-to-end ETL/ELT pipelines across Databricks, Azure, and AWS environments. Key Responsibilities • Design scalable data lake and data architectures using Databricks and cloud-native services. • Develop metadata-driven, parameterized ingestion frameworks and multi-layer data architectures. • Optimize data workloads and performance. • Define data governance frameworks for CHP. • Design and develop robust data pipelines. • Architect AI systems, including RAG workflows and prompt engineering. • Lead cloud migration initiatives from legacy systems to modern data platforms. • Provide architectural guidance, best practices, and technical leadership across teams. • Build documentation, reusable modules, and standardized patterns. Required Skills and Experience • Strong expertise in cloud platforms, primarily Azure or AWS. • Hands-on experience with Databricks. • Deep proficiency in Python and SQL. • Expertise in building ETL/ELT pipelines and ADF workflows. • Experience architecting data lakes and implementing data governance frameworks. • Hands-on experience with CI/CD, DevOps, and Git-based development. • Ability to translate business requirements into technical architecture. Technical Expertise Programming: Python, SQL, R Big Data: Hadoop, Spark, Kafka, Hive Cloud Platforms: Azure (ADF, Databricks, Azure OpenAI), AWS Data Warehousing: Redshift, SQL Server ETL/ELT Tools: SSIS Required Educational Background • Bachelor's degree in Computer Science, Information Technology, Information Systems, Engineering, or a related field. • 6+ years of experience in data engineering or .NET development.
10/28/2026
Full time
Job Description Job Description This job is hybrid in Phoenix,AZ Our direct client has an opening for a Solution Architect - 9150 This position is up to 6 months, with the option of extension, and is located in Phoenix, AZ. If you are interested, please submit the following: YOUR CURRENT RESUME YOUR HOURLY RATE We can work w2 or corp to corp. Solution Architect - Data The Solution Architect - Data is responsible for contributing to the design, modernization, and optimization of enterprise-scale data systems, as well as the maintenance and operations strategy for CHP. This role involves designing and implementing data systems that organize, store, and manage data within our cloud data platform. The architect will perform continuous maintenance and operations work for CHP in the cloud environment. They will review and analyze CHP's data infrastructure, plan future database solutions, and implement systems to support data management for CHP users. Additionally, this role is accountable for ensuring data integrity, making sure the CHP team adheres to data governance standards to maintain accuracy, consistency, and reliability across all systems. The architect will identify data discrepancies and quality issues, and work to resolve them. This position requires a strong blend of architectural leadership, technical depth, and the ability to collaborate with business stakeholders, data engineers, machine learning practitioners, and domain experts to deliver scalable, secure, and reliable AI-driven solutions. The ideal candidate will have a proven track record of delivering end-to-end ETL/ELT pipelines across Databricks, Azure, and AWS environments. Key Responsibilities • Design scalable data lake and data architectures using Databricks and cloud-native services. • Develop metadata-driven, parameterized ingestion frameworks and multi-layer data architectures. • Optimize data workloads and performance. • Define data governance frameworks for CHP. • Design and develop robust data pipelines. • Architect AI systems, including RAG workflows and prompt engineering. • Lead cloud migration initiatives from legacy systems to modern data platforms. • Provide architectural guidance, best practices, and technical leadership across teams. • Build documentation, reusable modules, and standardized patterns. Required Skills and Experience • Strong expertise in cloud platforms, primarily Azure or AWS. • Hands-on experience with Databricks. • Deep proficiency in Python and SQL. • Expertise in building ETL/ELT pipelines and ADF workflows. • Experience architecting data lakes and implementing data governance frameworks. • Hands-on experience with CI/CD, DevOps, and Git-based development. • Ability to translate business requirements into technical architecture. Technical Expertise Programming: Python, SQL, R Big Data: Hadoop, Spark, Kafka, Hive Cloud Platforms: Azure (ADF, Databricks, Azure OpenAI), AWS Data Warehousing: Redshift, SQL Server ETL/ELT Tools: SSIS Required Educational Background • Bachelor's degree in Computer Science, Information Technology, Information Systems, Engineering, or a related field. • 6+ years of experience in data engineering or .NET development.
Job Description Job Description OVERVIEW Releady is partnering with a leading healthcare technology company to hire a Data Engineer, Principal for its Data Services team. This organization provides the technology backbone and shared data infrastructure for nonprofit, community, and regional health plans nationwide, unifying clinical, claims, demographic, and provider data into a single governed platform that powers automation and AI deployment across core health plan operations. This role reports to a Senior Manager, Data Solutions, or Director, and partners with Enterprise Architects, Portfolio, Analytics, and Data Engineering teams to design technical solutions and build data products that meet enterprise-wide data needs. The Principal drives data product delivery by designing and implementing cloud data lakes, data warehouse, and data mart solutions, and is expected to influence enterprise architecture decisions and mentor senior engineering talent. NOTE: Must be eligible to work on W2 without sponsorship. Not eligible for C2C. Pay Rate: $85-$95/hr Duration: 6-month contract-to-hire Location: Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD, MN, NV, OR, AL, IL, VA, WI, TX, NY RESPONSIBILITIES Data Platform Architecture & Delivery Lead the design, development, and implementation of scalable data pipelines supporting enterprise data lakes, data warehouses, and data marts. Engineer robust ELT/ETL solutions that ingest, process, and curate structured and semi-structured data from diverse internal and external sources. Apply advanced data modeling techniques, including Data Vault 2.0, dimensional, and domain-oriented models, to support analytics and data products. Cross-Functional Solution Design Partner with Solution Design, Architecture, and Product teams to ensure technical designs are implemented accurately, efficiently, and securely. Build and optimize data solutions on cloud platforms such as Snowflake, Databricks, and Synapse, with a focus on performance, scalability, reliability, and cost efficiency. Quality, Governance & Operations Implement data quality, validation, observability, lineage, and governance controls embedded directly into data pipelines. Champion and apply DevOps and DataOps best practices, including CI/CD, automated testing, infrastructure as code, monitoring, and alerting. Identify performance bottlenecks, reliability risks, and optimization opportunities across data platforms and workflows. Technical Leadership & AI Enablement Provide hands-on technical leadership and mentorship to senior and mid-level data engineers, promoting engineering standards and best practices. Collaborate using agile methodologies to plan work, refine technical stories, and deliver iteratively with predictable outcomes. Support integration of AI/ML-ready data assets, ensuring data is trustworthy, well-modeled, and accessible for advanced analytics use cases. Act as a technical thought leader, advocating for modern data engineering patterns, tools, and practices aligned to enterprise strategy. QUALIFICATIONS Bachelor's degree or equivalent experience, with a minimum of ten years of relevant data engineering experience. Experience supporting enterprise AI/ML, advanced analytics, and data product ecosystems. Expertise in Data Vault 2.0, dimensional modeling, Lakehouse architecture, or domain-driven data design. Demonstrated ability to influence enterprise architecture decisions and mentor senior engineering talent. Expert-level understanding of data management practices, including data modeling (Data Vault 2.0), master data management, data integration, architecture, virtualization, warehousing, privacy, and security. Demonstrated enthusiasm for AI and emerging technologies, with hands-on experience applying AI-driven solutions in enterprise environments. Hands-on experience with SQL, Python, DBT Cloud, and DBT Core; expert-level fluency in NoSQL and database platforms such as Snowflake, Synapse, or Databricks. Proven ability to design and scale large-volume, high-performance data platforms leveraging parallel and distributed architectures. Advanced knowledge of CI/CD, source control, and agile delivery tooling such as Git, Bitbucket, and Jira. Experience with Airflow or Tidal (migrating from Tidal; comparable orchestration tools considered) Experience in healthcare, regulated environments, or large enterprises is strongly preferred. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non-merit factor. We are committed to creating a diverse and inclusive environment for all employees.
10/28/2026
Full time
Job Description Job Description OVERVIEW Releady is partnering with a leading healthcare technology company to hire a Data Engineer, Principal for its Data Services team. This organization provides the technology backbone and shared data infrastructure for nonprofit, community, and regional health plans nationwide, unifying clinical, claims, demographic, and provider data into a single governed platform that powers automation and AI deployment across core health plan operations. This role reports to a Senior Manager, Data Solutions, or Director, and partners with Enterprise Architects, Portfolio, Analytics, and Data Engineering teams to design technical solutions and build data products that meet enterprise-wide data needs. The Principal drives data product delivery by designing and implementing cloud data lakes, data warehouse, and data mart solutions, and is expected to influence enterprise architecture decisions and mentor senior engineering talent. NOTE: Must be eligible to work on W2 without sponsorship. Not eligible for C2C. Pay Rate: $85-$95/hr Duration: 6-month contract-to-hire Location: Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD, MN, NV, OR, AL, IL, VA, WI, TX, NY RESPONSIBILITIES Data Platform Architecture & Delivery Lead the design, development, and implementation of scalable data pipelines supporting enterprise data lakes, data warehouses, and data marts. Engineer robust ELT/ETL solutions that ingest, process, and curate structured and semi-structured data from diverse internal and external sources. Apply advanced data modeling techniques, including Data Vault 2.0, dimensional, and domain-oriented models, to support analytics and data products. Cross-Functional Solution Design Partner with Solution Design, Architecture, and Product teams to ensure technical designs are implemented accurately, efficiently, and securely. Build and optimize data solutions on cloud platforms such as Snowflake, Databricks, and Synapse, with a focus on performance, scalability, reliability, and cost efficiency. Quality, Governance & Operations Implement data quality, validation, observability, lineage, and governance controls embedded directly into data pipelines. Champion and apply DevOps and DataOps best practices, including CI/CD, automated testing, infrastructure as code, monitoring, and alerting. Identify performance bottlenecks, reliability risks, and optimization opportunities across data platforms and workflows. Technical Leadership & AI Enablement Provide hands-on technical leadership and mentorship to senior and mid-level data engineers, promoting engineering standards and best practices. Collaborate using agile methodologies to plan work, refine technical stories, and deliver iteratively with predictable outcomes. Support integration of AI/ML-ready data assets, ensuring data is trustworthy, well-modeled, and accessible for advanced analytics use cases. Act as a technical thought leader, advocating for modern data engineering patterns, tools, and practices aligned to enterprise strategy. QUALIFICATIONS Bachelor's degree or equivalent experience, with a minimum of ten years of relevant data engineering experience. Experience supporting enterprise AI/ML, advanced analytics, and data product ecosystems. Expertise in Data Vault 2.0, dimensional modeling, Lakehouse architecture, or domain-driven data design. Demonstrated ability to influence enterprise architecture decisions and mentor senior engineering talent. Expert-level understanding of data management practices, including data modeling (Data Vault 2.0), master data management, data integration, architecture, virtualization, warehousing, privacy, and security. Demonstrated enthusiasm for AI and emerging technologies, with hands-on experience applying AI-driven solutions in enterprise environments. Hands-on experience with SQL, Python, DBT Cloud, and DBT Core; expert-level fluency in NoSQL and database platforms such as Snowflake, Synapse, or Databricks. Proven ability to design and scale large-volume, high-performance data platforms leveraging parallel and distributed architectures. Advanced knowledge of CI/CD, source control, and agile delivery tooling such as Git, Bitbucket, and Jira. Experience with Airflow or Tidal (migrating from Tidal; comparable orchestration tools considered) Experience in healthcare, regulated environments, or large enterprises is strongly preferred. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non-merit factor. We are committed to creating a diverse and inclusive environment for all employees.
At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future. We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success. Credence is seeking a Cloud Platform Engineer to support secure AWS hosting environments for Department of War customers. This is a hands-on engineering role that supports the broader cloud hosting lifecycle. The position includes AWS infrastructure, Infrastructure as Code, CI/CD, container platforms, automation, technical solutioning, troubleshooting, monitoring, security, and operational support. The ideal candidate will have strong experience designing, implementing, automating, and troubleshooting AWS-based environments. Candidates should be comfortable working across infrastructure, deployments, container platforms, security controls, and customer requirements. Responsibilities Responsibilities include, but are not limited to: Design, implement, operate, and improve secure AWS hosting solutions supporting development, test, and production environments. Collaborate with Cloud Engineers, Solutions Architects, cybersecurity professionals, application teams, and customer stakeholders to develop and implement technical solutions. Translate technical and customer requirements into practical cloud infrastructure, deployment, and hosting solutions. Build, maintain, and improve reusable Infrastructure as Code patterns using Terraform, AWS CloudFormation, or similar technologies. Develop and maintain CI/CD pipelines supporting automated build, test, security scanning, deployment, and release workflows. Deploy, operate, and troubleshoot containerized workloads using Docker, Amazon ECS/Fargate, and Amazon EKS/Kubernetes. Support container platforms, including workload deployment, configuration, networking, storage, scaling, monitoring, and troubleshooting. Develop scripts, tools, and automation using Python, Shell, PowerShell, or similar technologies to reduce manual effort and improve consistency. Convert recurring operational issues into reusable automation, platform capabilities, or standardized deployment patterns. Support AWS-hosted environments as needed, including troubleshooting, incident response, planned maintenance, technical escalations, and production support. Troubleshoot infrastructure, operating system, networking, permissions, database, pipeline, container, and deployment issues. Support cloud platform services related to monitoring, logging, access control, configuration management, patching, backup, and security. Work with cybersecurity and compliance teams to ensure infrastructure and automation align with customer, federal, and organizational requirements. Research and recommend tools, technologies, and engineering practices that improve platform reliability, automation, security, and developer experience. Create and maintain technical designs, implementation plans, deployment procedures, runbooks, reusable patterns, and operational documentation. Participate in a rotating on-call schedule, typically approximately one week every four months. Requirements Required Qualifications Ability to obtain and maintain a Public Trust. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent professional experience. CompTIA Security+ certification, or the ability to obtain it within the first 60 days. AWS certification, or the ability to obtain one within the first 90 days. At least 3 years of progressively responsible experience in cloud engineering, platform engineering, DevOps, infrastructure automation, systems engineering, or a related technical field. Hands-on experience designing, deploying, supporting, and troubleshooting AWS environments. Experience with core AWS services such as EC2, S3, IAM, VPC, security groups, RDS, EFS, CloudWatch, CloudTrail, and AWS Systems Manager. Hands-on experience with Terraform, AWS CloudFormation, or another Infrastructure as Code technology. Experience developing, maintaining, or troubleshooting CI/CD pipelines using GitLab CI/CD, Jenkins, GitHub Actions, AWS CodePipeline, or similar platforms. Production experience with Docker and at least one container platform, such as Amazon ECS Fargate or Amazon EKS/Kubernetes. Experience developing automation using Python, Shell, PowerShell, or a similar scripting language. Ability to troubleshoot complex technical issues across infrastructure, deployments, networking, permissions, and containerized workloads. Ability to contribute to technical solution design and communicate recommendations, tradeoffs, and implementation approaches. Strong written and verbal communication skills, including the ability to document technical processes and communicate with technical and nontechnical stakeholders. Preferred Qualifications Experience with both Amazon ECS/Fargate and Amazon EKS/Kubernetes. Experience with Terraform modules, remote state, workspaces, providers, and reusable Infrastructure as Code patterns. Experience with Git-based development workflows, branching strategies, merge requests, pull requests, and code reviews. Experience with Kubernetes tools and concepts such as Helm, namespaces, ingress, service networking, storage, autoscaling, and container registries. Experience supporting secure environments subject to federal, Public Trust, NIST, DoD, or similar compliance requirements. Experience with monitoring, logging, and alerting tools such as CloudWatch, Prometheus, or Grafana. Experience with AWS networking, load balancing, DNS, identity, security controls, or hybrid connectivity. Experience administering Linux or Windows servers in cloud or enterprise environments. Experience with Active Directory or LDAP-based identity solutions. Experience integrating generative AI services, APIs, or AI-assisted tools into cloud applications, engineering workflows, automation, or operational platforms. AWS Associate, Specialty, or Professional-level certification. Experience leading technical solutioning discussions with customers or stakeholders. Compensation The anticipated salary range for this position is $100,000-$180,000, depending on experience, technical depth, certifications, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
10/28/2026
Full time
At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future. We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success. Credence is seeking a Cloud Platform Engineer to support secure AWS hosting environments for Department of War customers. This is a hands-on engineering role that supports the broader cloud hosting lifecycle. The position includes AWS infrastructure, Infrastructure as Code, CI/CD, container platforms, automation, technical solutioning, troubleshooting, monitoring, security, and operational support. The ideal candidate will have strong experience designing, implementing, automating, and troubleshooting AWS-based environments. Candidates should be comfortable working across infrastructure, deployments, container platforms, security controls, and customer requirements. Responsibilities Responsibilities include, but are not limited to: Design, implement, operate, and improve secure AWS hosting solutions supporting development, test, and production environments. Collaborate with Cloud Engineers, Solutions Architects, cybersecurity professionals, application teams, and customer stakeholders to develop and implement technical solutions. Translate technical and customer requirements into practical cloud infrastructure, deployment, and hosting solutions. Build, maintain, and improve reusable Infrastructure as Code patterns using Terraform, AWS CloudFormation, or similar technologies. Develop and maintain CI/CD pipelines supporting automated build, test, security scanning, deployment, and release workflows. Deploy, operate, and troubleshoot containerized workloads using Docker, Amazon ECS/Fargate, and Amazon EKS/Kubernetes. Support container platforms, including workload deployment, configuration, networking, storage, scaling, monitoring, and troubleshooting. Develop scripts, tools, and automation using Python, Shell, PowerShell, or similar technologies to reduce manual effort and improve consistency. Convert recurring operational issues into reusable automation, platform capabilities, or standardized deployment patterns. Support AWS-hosted environments as needed, including troubleshooting, incident response, planned maintenance, technical escalations, and production support. Troubleshoot infrastructure, operating system, networking, permissions, database, pipeline, container, and deployment issues. Support cloud platform services related to monitoring, logging, access control, configuration management, patching, backup, and security. Work with cybersecurity and compliance teams to ensure infrastructure and automation align with customer, federal, and organizational requirements. Research and recommend tools, technologies, and engineering practices that improve platform reliability, automation, security, and developer experience. Create and maintain technical designs, implementation plans, deployment procedures, runbooks, reusable patterns, and operational documentation. Participate in a rotating on-call schedule, typically approximately one week every four months. Requirements Required Qualifications Ability to obtain and maintain a Public Trust. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent professional experience. CompTIA Security+ certification, or the ability to obtain it within the first 60 days. AWS certification, or the ability to obtain one within the first 90 days. At least 3 years of progressively responsible experience in cloud engineering, platform engineering, DevOps, infrastructure automation, systems engineering, or a related technical field. Hands-on experience designing, deploying, supporting, and troubleshooting AWS environments. Experience with core AWS services such as EC2, S3, IAM, VPC, security groups, RDS, EFS, CloudWatch, CloudTrail, and AWS Systems Manager. Hands-on experience with Terraform, AWS CloudFormation, or another Infrastructure as Code technology. Experience developing, maintaining, or troubleshooting CI/CD pipelines using GitLab CI/CD, Jenkins, GitHub Actions, AWS CodePipeline, or similar platforms. Production experience with Docker and at least one container platform, such as Amazon ECS Fargate or Amazon EKS/Kubernetes. Experience developing automation using Python, Shell, PowerShell, or a similar scripting language. Ability to troubleshoot complex technical issues across infrastructure, deployments, networking, permissions, and containerized workloads. Ability to contribute to technical solution design and communicate recommendations, tradeoffs, and implementation approaches. Strong written and verbal communication skills, including the ability to document technical processes and communicate with technical and nontechnical stakeholders. Preferred Qualifications Experience with both Amazon ECS/Fargate and Amazon EKS/Kubernetes. Experience with Terraform modules, remote state, workspaces, providers, and reusable Infrastructure as Code patterns. Experience with Git-based development workflows, branching strategies, merge requests, pull requests, and code reviews. Experience with Kubernetes tools and concepts such as Helm, namespaces, ingress, service networking, storage, autoscaling, and container registries. Experience supporting secure environments subject to federal, Public Trust, NIST, DoD, or similar compliance requirements. Experience with monitoring, logging, and alerting tools such as CloudWatch, Prometheus, or Grafana. Experience with AWS networking, load balancing, DNS, identity, security controls, or hybrid connectivity. Experience administering Linux or Windows servers in cloud or enterprise environments. Experience with Active Directory or LDAP-based identity solutions. Experience integrating generative AI services, APIs, or AI-assisted tools into cloud applications, engineering workflows, automation, or operational platforms. AWS Associate, Specialty, or Professional-level certification. Experience leading technical solutioning discussions with customers or stakeholders. Compensation The anticipated salary range for this position is $100,000-$180,000, depending on experience, technical depth, certifications, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
This job is with eBay, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. About the team and the role: The Engineering Systems Tools team powers how eBay engineers build, test, and ship software at scale. We develop, operate, and evolve the internal platforms that thousands of developers rely on every day to deliver secure, high-quality experiences to buyers and sellers around the world. As a Senior GitHub Enterprise Platform Engineer, you will serve as a hands-on technical leader for eBay's GitHub Enterprise ecosystem. You will own the platform's reliability, security, and usability. You will develop standards and self-service experiences that help engineering teams collaborate effectively. Your work will enable confident code reviews and safe automation of workflows at scale. This is an individual contributor role with broad influence across engineering, security, product, and infrastructure teams, and a strong opportunity to improve developer efficiency across eBay. What you will accomplish: Own and evolve eBay's GitHub Enterprise platform to deliver a highly available, secure, and scalable experience for thousands of engineers. Define and implement platform standards for repositories, branching, code review, and policy enforcement that improve engineering velocity while supporting security and compliance goals. Partner closely with Identity and Security teams to strengthen access management through SSO, SCIM, and role-based controls, enabling scalable, auditable, and least-privilege access. Build automation, APIs, bots, and tools guided by rules that simplify onboarding, repository lifecycle management, and fleet-wide platform changes. Improve platform reliability by implementing monitoring, logging, alerting, incident response, and root-cause analysis across GitHub Enterprise Server and its underlying database systems. Lead upgrades, migrations, and multi-functional platform improvements while advising engineering teams on standard methodologies through documentation, consultation, and enablement. What you will bring: 8+ years of experience in software engineering, DevOps, or platform engineering in a large-scale environment, including significant hands-on work with Git-based platforms. Deep experience coordinating GitHub Enterprise Server and/or GitHub Enterprise Cloud at scale, including repository and organization management, security controls, auditability, runners, and integrations. Strong programming or scripting skills in Python, Java, or similar languages, with experience using REST/GraphQL APIs, webhooks, and infrastructure-as-code to automate platform operations. Experience integrating GitHub with CI/CD, artifact, and quality or security tooling such as GitHub Actions, Jenkins, Artifactory, SonarQube, or similar platforms. Solid understanding of identity and access management concepts including SSO, SAML, SCIM, RBAC, and least-privilege access, and how to apply them to developer collaboration platforms. Strong solving and interpersonal skills, with the ability to work across distributed systems, databases, cloud or container environments, and multi-functional teams to drive issues through resolution. Additional Details The base pay range for this position is expected in the range below: $196,800 - $262,700 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice , Privacy Center and AI Hiring Guideline .
10/27/2026
Full time
This job is with eBay, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. About the team and the role: The Engineering Systems Tools team powers how eBay engineers build, test, and ship software at scale. We develop, operate, and evolve the internal platforms that thousands of developers rely on every day to deliver secure, high-quality experiences to buyers and sellers around the world. As a Senior GitHub Enterprise Platform Engineer, you will serve as a hands-on technical leader for eBay's GitHub Enterprise ecosystem. You will own the platform's reliability, security, and usability. You will develop standards and self-service experiences that help engineering teams collaborate effectively. Your work will enable confident code reviews and safe automation of workflows at scale. This is an individual contributor role with broad influence across engineering, security, product, and infrastructure teams, and a strong opportunity to improve developer efficiency across eBay. What you will accomplish: Own and evolve eBay's GitHub Enterprise platform to deliver a highly available, secure, and scalable experience for thousands of engineers. Define and implement platform standards for repositories, branching, code review, and policy enforcement that improve engineering velocity while supporting security and compliance goals. Partner closely with Identity and Security teams to strengthen access management through SSO, SCIM, and role-based controls, enabling scalable, auditable, and least-privilege access. Build automation, APIs, bots, and tools guided by rules that simplify onboarding, repository lifecycle management, and fleet-wide platform changes. Improve platform reliability by implementing monitoring, logging, alerting, incident response, and root-cause analysis across GitHub Enterprise Server and its underlying database systems. Lead upgrades, migrations, and multi-functional platform improvements while advising engineering teams on standard methodologies through documentation, consultation, and enablement. What you will bring: 8+ years of experience in software engineering, DevOps, or platform engineering in a large-scale environment, including significant hands-on work with Git-based platforms. Deep experience coordinating GitHub Enterprise Server and/or GitHub Enterprise Cloud at scale, including repository and organization management, security controls, auditability, runners, and integrations. Strong programming or scripting skills in Python, Java, or similar languages, with experience using REST/GraphQL APIs, webhooks, and infrastructure-as-code to automate platform operations. Experience integrating GitHub with CI/CD, artifact, and quality or security tooling such as GitHub Actions, Jenkins, Artifactory, SonarQube, or similar platforms. Solid understanding of identity and access management concepts including SSO, SAML, SCIM, RBAC, and least-privilege access, and how to apply them to developer collaboration platforms. Strong solving and interpersonal skills, with the ability to work across distributed systems, databases, cloud or container environments, and multi-functional teams to drive issues through resolution. Additional Details The base pay range for this position is expected in the range below: $196,800 - $262,700 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice , Privacy Center and AI Hiring Guideline .
This job is with Allianz Commercial, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Allianz Technology of America (ATA) is part of the global financial powerhouse Allianz, with over 120,000 employees worldwide. ATA is hiring for the June 2027 TechSTART cohort, a 1-year rotation-based program. As a TechSTART Associate, you will experience diverse hands-on projects and real-time training in areas such as Software Development, Production Support, IT Transformation, and DevOps. This position is for a technical (computer science-related positions) Track. During your TechSTART year, you will gain exposure to the IT function, key business partners, and company leaders through three collaborative, project-based rotations. TechSTART is a full-time position with salary, benefits and potential for permanent placement upon program completion. The program start date is June 2027 Technical Track Areas: Application Development Database Development IT Security IT Quality Assurance Cloud/DevOps What you do: As a TechSTART Associate, you will build and hone the ability to: Gain exposure to products, skills, and technologies like AI used across a global IT enterprise Explore projects and initiatives across multiple IT Departments Work with project teams and business stakeholders to identify requirements Assists with the development of solutions to technology needs Conduct needs assessments, feasibility studies and analysis Create process documentation Design and develop applications and solutions to support business requirements Create test requirements and execute test cases Ensure timely communication with key stakeholders of milestones and risks Engage in Allianz community, resource groups, and networking events with leadership. What you bring: 0 - 1 years' experience recommended; Relevant technical and business work experience. Related internship experience preferred. Four-year bachelor's degree from an accredited degree program preferred (Computer Science, Information Systems, Software Engineering, Business Administration, Risk Management, or related majors strongly encouraged) Commitment to continuous learning and development What we offer: We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working. We believe in rewarding performance and our compensation and benefits package includes health insurance, company bonus scheme, 401(K) with company match, company paid holidays, paid time off, paid volunteer days, tuition reimbursement, paid parental leave, an employee shares program and employee discounts From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered. The annualized base pay this role is $68,000. The base pay is just one component of the ATA total compensation package. As part of our comprehensive compensation and highly rated benefits programs, ATA also offers eligibility for an incentive-based annual bonus. About Allianz Technology Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the centre of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future - for our customers and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. Join us. Let's care for tomorrow. You.IT
10/27/2026
Full time
This job is with Allianz Commercial, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Allianz Technology of America (ATA) is part of the global financial powerhouse Allianz, with over 120,000 employees worldwide. ATA is hiring for the June 2027 TechSTART cohort, a 1-year rotation-based program. As a TechSTART Associate, you will experience diverse hands-on projects and real-time training in areas such as Software Development, Production Support, IT Transformation, and DevOps. This position is for a technical (computer science-related positions) Track. During your TechSTART year, you will gain exposure to the IT function, key business partners, and company leaders through three collaborative, project-based rotations. TechSTART is a full-time position with salary, benefits and potential for permanent placement upon program completion. The program start date is June 2027 Technical Track Areas: Application Development Database Development IT Security IT Quality Assurance Cloud/DevOps What you do: As a TechSTART Associate, you will build and hone the ability to: Gain exposure to products, skills, and technologies like AI used across a global IT enterprise Explore projects and initiatives across multiple IT Departments Work with project teams and business stakeholders to identify requirements Assists with the development of solutions to technology needs Conduct needs assessments, feasibility studies and analysis Create process documentation Design and develop applications and solutions to support business requirements Create test requirements and execute test cases Ensure timely communication with key stakeholders of milestones and risks Engage in Allianz community, resource groups, and networking events with leadership. What you bring: 0 - 1 years' experience recommended; Relevant technical and business work experience. Related internship experience preferred. Four-year bachelor's degree from an accredited degree program preferred (Computer Science, Information Systems, Software Engineering, Business Administration, Risk Management, or related majors strongly encouraged) Commitment to continuous learning and development What we offer: We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working. We believe in rewarding performance and our compensation and benefits package includes health insurance, company bonus scheme, 401(K) with company match, company paid holidays, paid time off, paid volunteer days, tuition reimbursement, paid parental leave, an employee shares program and employee discounts From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered. The annualized base pay this role is $68,000. The base pay is just one component of the ATA total compensation package. As part of our comprehensive compensation and highly rated benefits programs, ATA also offers eligibility for an incentive-based annual bonus. About Allianz Technology Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the centre of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future - for our customers and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. Join us. Let's care for tomorrow. You.IT
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details
10/27/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details
Job Description Job Description We are seeking a Principal Data Engineer to lead the architecture, design, and delivery of modern data platforms and analytics solutions for clients. This is a hands-on technical leadership role for someone who can move comfortably between executive-level client conversations, solution architecture, engineering delivery, and mentoring high-performing data teams. The ideal candidate combines deep data-engineering expertise with strong consulting instincts: they can translate business objectives into scalable technical solutions, communicate complex concepts through clear presentations, and guide teams from discovery through implementation and operationalization. Key Responsibilities Lead the end-to-end architecture, design, and delivery of enterprise data engineering, data platform, and analytics solutions for client engagements. Serve as a trusted technical advisor to client stakeholders, including technology leaders, data leaders, architects, and business partners. Facilitate discovery sessions, requirements workshops, technical assessments, architecture reviews, and solution-design discussions. Translate business goals, data challenges, and operating-model requirements into practical data strategies, roadmaps, reference architectures, and implementation plans. Define scalable, secure, reliable, and cost-effective architectures for data ingestion, transformation, storage, governance, orchestration, analytics, and data consumption. Remain hands-on in engineering work, including designing data pipelines, reviewing code, building proof of concepts, resolving complex technical issues, and establishing engineering patterns. Architect and implement batch, real-time, streaming, and event-driven data solutions as appropriate for client needs. Design modern cloud data platforms using technologies such as Snowflake, Databricks, Microsoft Fabric, Azure Data Factory, AWS Glue, Amazon Redshift, BigQuery, or equivalent platforms. Lead the development of robust ETL/ELT pipelines, data models, data APIs, semantic layers, and data products. Establish data engineering standards for code quality, testing, CI/CD, observability, metadata management, data lineage, documentation, security, and production support. Drive adoption of DataOps practices, infrastructure as code, automated testing, deployment pipelines, monitoring, and incident-management processes. Partner with data architects, data scientists, analysts, application architects, security teams, and business stakeholders to ensure solutions are aligned to enterprise architecture and business outcomes. Present technical recommendations, architecture options, delivery status, risks, and strategic roadmaps to both technical and executive audiences. Lead client-facing demonstrations, workshops, steering-committee updates, and technical presentations. Mentor senior, mid-level, and junior data engineers; provide technical coaching, career guidance, design feedback, and hands-on support. Lead and influence cross-functional delivery teams, including onshore/offshore engineers, architects, analysts, and client technical resources. Participate in project estimation, staffing, delivery planning, risk management, solution scoping, and proposal development. Support pre-sales and business-development activities, including solutioning, client presentations, technical discovery, RFP responses, estimates, and statement-of-work development. Stay current on emerging data, cloud, AI, governance, and analytics technologies; evaluate where they provide meaningful business value for clients. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; equivalent professional experience may be considered. 10+ years of progressive experience in data engineering, data warehousing, data integration, data architecture, or related technical disciplines. 3+ years of experience in a technical leadership, lead engineer, solution architect, staff engineer, principal engineer, or consulting leadership capacity. Demonstrated experience architecting and delivering enterprise-scale data platforms and data integration solutions. Strong hands-on expertise in SQL and at least one modern programming language, preferably Python, Scala, Java, or C#. Strong experience with ETL/ELT design, data pipeline development, data transformation frameworks, orchestration, and workflow automation. Experience with one or more cloud providers: Microsoft Azure, AWS, or Google Cloud Platform. Experience with modern cloud data and analytics platforms such as Databricks, Snowflake, Microsoft Fabric, Synapse Analytics, BigQuery, Redshift, or similar technologies. Experience with orchestration and pipeline technologies such as Apache Airflow, Azure Data Factory, AWS Step Functions, dbt, Dagster, Prefect, or equivalent tools. Knowledge of distributed data-processing technologies such as Apache Spark, Kafka, Flink, Hadoop ecosystems, or comparable platforms. Experience designing both batch and near-real-time or streaming data solutions. Strong understanding of dimensional modeling, data vault, normalized data models, lakehouse architectures, data lake architectures, and data warehouse design principles. Experience implementing data quality, data validation, monitoring, lineage, metadata, governance, and security controls. Working knowledge of DevOps and DataOps practices, including Git-based source control, CI/CD, automated testing, deployment automation, and infrastructure as code. Strong understanding of cloud security principles, identity and access management, encryption, secrets management, and role-based access controls. Proven ability to lead architecture discussions and make well-reasoned technical tradeoffs involving performance, scalability, reliability, maintainability, security, and cost. Excellent verbal, written, and presentation skills, with the ability to explain technical concepts clearly to business stakeholders and executive audiences. Experience in a consulting, professional services, systems integrator, or client-facing delivery environment. Preferred Qualifications Experience designing data platforms that support AI, machine learning, generative AI, retrieval-augmented generation, feature stores, vector databases, or advanced analytics workloads. Certifications in AWS, Azure, Google Cloud, Databricks, Snowflake, Microsoft Fabric, or other relevant data technologies. Experience with master data management, data cataloging, data governance, privacy, regulatory compliance, or data stewardship programs. Experience with tools such as Collibra, Alation, Microsoft Purview, Unity Catalog, Informatica, Monte Carlo, Great Expectations, or similar governance and observability platforms. Experience with Salesforce, SAP, ERP, CRM, finance, supply-chain, healthcare, retail, manufacturing, or other enterprise operational data domains. Familiarity with BI and semantic-layer technologies such as Power BI, Tableau, Looker, ThoughtSpot, or similar platforms. Experience with containerization and cloud-native technologies such as Docker, Kubernetes, Terraform, CloudFormation, Bicep, or Pulumi. Prior experience contributing to proposals, estimates, statements of work, or technical sales pursuits. Experience managing or leading distributed onshore/offshore delivery teams. Powered by JazzHR zr49e0PRzQ
10/26/2026
Full time
Job Description Job Description We are seeking a Principal Data Engineer to lead the architecture, design, and delivery of modern data platforms and analytics solutions for clients. This is a hands-on technical leadership role for someone who can move comfortably between executive-level client conversations, solution architecture, engineering delivery, and mentoring high-performing data teams. The ideal candidate combines deep data-engineering expertise with strong consulting instincts: they can translate business objectives into scalable technical solutions, communicate complex concepts through clear presentations, and guide teams from discovery through implementation and operationalization. Key Responsibilities Lead the end-to-end architecture, design, and delivery of enterprise data engineering, data platform, and analytics solutions for client engagements. Serve as a trusted technical advisor to client stakeholders, including technology leaders, data leaders, architects, and business partners. Facilitate discovery sessions, requirements workshops, technical assessments, architecture reviews, and solution-design discussions. Translate business goals, data challenges, and operating-model requirements into practical data strategies, roadmaps, reference architectures, and implementation plans. Define scalable, secure, reliable, and cost-effective architectures for data ingestion, transformation, storage, governance, orchestration, analytics, and data consumption. Remain hands-on in engineering work, including designing data pipelines, reviewing code, building proof of concepts, resolving complex technical issues, and establishing engineering patterns. Architect and implement batch, real-time, streaming, and event-driven data solutions as appropriate for client needs. Design modern cloud data platforms using technologies such as Snowflake, Databricks, Microsoft Fabric, Azure Data Factory, AWS Glue, Amazon Redshift, BigQuery, or equivalent platforms. Lead the development of robust ETL/ELT pipelines, data models, data APIs, semantic layers, and data products. Establish data engineering standards for code quality, testing, CI/CD, observability, metadata management, data lineage, documentation, security, and production support. Drive adoption of DataOps practices, infrastructure as code, automated testing, deployment pipelines, monitoring, and incident-management processes. Partner with data architects, data scientists, analysts, application architects, security teams, and business stakeholders to ensure solutions are aligned to enterprise architecture and business outcomes. Present technical recommendations, architecture options, delivery status, risks, and strategic roadmaps to both technical and executive audiences. Lead client-facing demonstrations, workshops, steering-committee updates, and technical presentations. Mentor senior, mid-level, and junior data engineers; provide technical coaching, career guidance, design feedback, and hands-on support. Lead and influence cross-functional delivery teams, including onshore/offshore engineers, architects, analysts, and client technical resources. Participate in project estimation, staffing, delivery planning, risk management, solution scoping, and proposal development. Support pre-sales and business-development activities, including solutioning, client presentations, technical discovery, RFP responses, estimates, and statement-of-work development. Stay current on emerging data, cloud, AI, governance, and analytics technologies; evaluate where they provide meaningful business value for clients. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; equivalent professional experience may be considered. 10+ years of progressive experience in data engineering, data warehousing, data integration, data architecture, or related technical disciplines. 3+ years of experience in a technical leadership, lead engineer, solution architect, staff engineer, principal engineer, or consulting leadership capacity. Demonstrated experience architecting and delivering enterprise-scale data platforms and data integration solutions. Strong hands-on expertise in SQL and at least one modern programming language, preferably Python, Scala, Java, or C#. Strong experience with ETL/ELT design, data pipeline development, data transformation frameworks, orchestration, and workflow automation. Experience with one or more cloud providers: Microsoft Azure, AWS, or Google Cloud Platform. Experience with modern cloud data and analytics platforms such as Databricks, Snowflake, Microsoft Fabric, Synapse Analytics, BigQuery, Redshift, or similar technologies. Experience with orchestration and pipeline technologies such as Apache Airflow, Azure Data Factory, AWS Step Functions, dbt, Dagster, Prefect, or equivalent tools. Knowledge of distributed data-processing technologies such as Apache Spark, Kafka, Flink, Hadoop ecosystems, or comparable platforms. Experience designing both batch and near-real-time or streaming data solutions. Strong understanding of dimensional modeling, data vault, normalized data models, lakehouse architectures, data lake architectures, and data warehouse design principles. Experience implementing data quality, data validation, monitoring, lineage, metadata, governance, and security controls. Working knowledge of DevOps and DataOps practices, including Git-based source control, CI/CD, automated testing, deployment automation, and infrastructure as code. Strong understanding of cloud security principles, identity and access management, encryption, secrets management, and role-based access controls. Proven ability to lead architecture discussions and make well-reasoned technical tradeoffs involving performance, scalability, reliability, maintainability, security, and cost. Excellent verbal, written, and presentation skills, with the ability to explain technical concepts clearly to business stakeholders and executive audiences. Experience in a consulting, professional services, systems integrator, or client-facing delivery environment. Preferred Qualifications Experience designing data platforms that support AI, machine learning, generative AI, retrieval-augmented generation, feature stores, vector databases, or advanced analytics workloads. Certifications in AWS, Azure, Google Cloud, Databricks, Snowflake, Microsoft Fabric, or other relevant data technologies. Experience with master data management, data cataloging, data governance, privacy, regulatory compliance, or data stewardship programs. Experience with tools such as Collibra, Alation, Microsoft Purview, Unity Catalog, Informatica, Monte Carlo, Great Expectations, or similar governance and observability platforms. Experience with Salesforce, SAP, ERP, CRM, finance, supply-chain, healthcare, retail, manufacturing, or other enterprise operational data domains. Familiarity with BI and semantic-layer technologies such as Power BI, Tableau, Looker, ThoughtSpot, or similar platforms. Experience with containerization and cloud-native technologies such as Docker, Kubernetes, Terraform, CloudFormation, Bicep, or Pulumi. Prior experience contributing to proposals, estimates, statements of work, or technical sales pursuits. Experience managing or leading distributed onshore/offshore delivery teams. Powered by JazzHR zr49e0PRzQ
Job Description Job Description About the Opportunity Complete Staffing has a client seeking a Data Architect to lead the design and continued evolution of its enterprise data architecture. This is a senior individual-contributor opportunity for an experienced data professional who can bridge data architecture, cloud analytics, SQL Server, data governance, and business intelligence. The ideal candidate will help establish the standards and architecture that data engineers, analysts, and financial reporting teams use to build scalable, secure, and reliable data solutions. The environment includes a modern Microsoft Fabric analytics platform utilizing a Bronze/Silver/Gold medallion architecture, along with a significant on-premises SQL Server environment supporting core transactional workloads. You will help define how data moves from systems such as Dynamics 365 F&O, SQL Server, APIs, and flat files into Microsoft Fabric and OneLake, how it is transformed and modeled, and how it ultimately supports trusted Power BI reporting and analytics. This role offers the opportunity to have significant influence over the organization's long-term data strategy while remaining hands-on with architecture and technology. What You'll Do Enterprise Data Architecture Own and evolve the organization's target-state data architecture across Microsoft Fabric and on-premises SQL Server. Establish architectural standards for determining which workloads should remain on-premises, move to the cloud, or operate in a hybrid model. Define and maintain the organization's Bronze, Silver, and Gold data architecture standards. Design logical and physical data models, dimensional models, and enterprise data structures. Maintain and improve the enterprise data model, business glossary, and data dictionary. Create reference architectures, technical standards, and architecture decision records. Review significant data designs and provide architectural guidance before development begins. Partner with technical and business stakeholders to translate organizational goals into scalable data solutions. Hybrid & On-Premises Data Integration Design integration strategies between SQL Server and Microsoft Fabric. Determine the appropriate integration approach based on data volume, latency, performance, complexity, and cost. Establish strategies for change data capture (CDC), incremental loading, and data watermarking. Design solutions that keep cloud data current while protecting the performance and stability of transactional systems. Partner with database and data engineering teams on high availability, disaster recovery, retention, and archival strategies. Establish standards around SQL Server database design, indexing, partitioning, and performance. Microsoft Fabric Architecture Design Microsoft Fabric tenant, workspace, and capacity architecture. Establish development, testing, and production promotion processes across data, financial analytics, and business reporting environments. Define clear ownership boundaries between IT, FP&A, and business reporting teams. Establish Direct Lake as the preferred Power BI connectivity approach while determining when Import or DirectQuery may be appropriate. Develop standards for source control and deployment using Git and Azure DevOps. Establish best practices for Fabric pipelines, notebooks, semantic models, SQL objects, and other data assets. Monitor platform performance, capacity utilization, and cost, and identify opportunities for optimization. Data Governance, Security & Quality Establish data security standards across the Bronze, Silver, and Gold layers. Partner with security and data governance teams to ensure appropriate access controls and data protection. Support implementation and use of Microsoft Purview for data cataloging, lineage, classification, and governance. Establish data quality and reconciliation standards to ensure reporting data can be traced back to source systems. Help establish standards around promoted and certified Power BI datasets and semantic models. Partner with stakeholders to improve confidence, consistency, and trust in enterprise data. AI & Emerging Data Capabilities Help establish the data foundation needed to support AI, analytics, and agent-based applications. Design structured and unstructured data access patterns for use cases such as Copilot Studio and Retrieval-Augmented Generation (RAG). Evaluate emerging database and data platform capabilities, including vector search, semantic search, and in-database embeddings. Identify practical opportunities where AI and advanced data capabilities can create measurable business value. Collaboration & Mentorship Serve as a technical resource and mentor for data engineers, analysts, and financial reporting teams. Establish and promote strong data modeling and architecture practices. Collaborate with Software Architecture, Infrastructure, Security, Data Governance, FP&A, and business stakeholders. Communicate complex technical concepts clearly to both technical and executive audiences. Provide architectural leadership without requiring direct people management. What We're Looking For Required Qualifications Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field. 5+ years of experience designing and delivering enterprise data solutions. At least 2 years of experience in a data architecture, lead data engineering, or similar senior technical role. Experience designing modern cloud analytics or data platforms. Strong Microsoft Fabric experience preferred; experience with Synapse, Databricks, or comparable lakehouse technologies will also be considered. Strong hands-on experience with SQL Server and T-SQL, including database design, indexing, partitioning, and performance tuning. Strong understanding of dimensional modeling, star schemas, medallion architecture, and ETL/ELT design. Experience integrating on-premises data sources with cloud data platforms. Experience with CDC, incremental loading, and data integration patterns. Working knowledge of Power BI semantic models, DAX, and row-level security. Experience with Python or PySpark for data transformation and large-scale data processing. Experience using Git and Azure DevOps for data and development assets. Strong communication and collaboration skills with the ability to work across technical and business teams. Preferred Qualifications Microsoft certification such as: Microsoft Certified: Fabric Analytics Engineer Microsoft Certified: Fabric Data Engineer Azure Solutions Architect Expert Experience with Dynamics 365 Finance & Operations (F&O) data structures and integrations. Experience with Microsoft Purview. Experience supporting FP&A, financial reporting, or enterprise finance data. Knowledge of General Ledger, cost center, allocation, or similar financial data models. Experience participating in architecture review boards or enterprise technology governance initiatives. Experience in construction, specialty contracting, or another project-based industry. Kansas City metro area resident preferred. This position is not eligible for visa sponsorship.
10/26/2026
Full time
Job Description Job Description About the Opportunity Complete Staffing has a client seeking a Data Architect to lead the design and continued evolution of its enterprise data architecture. This is a senior individual-contributor opportunity for an experienced data professional who can bridge data architecture, cloud analytics, SQL Server, data governance, and business intelligence. The ideal candidate will help establish the standards and architecture that data engineers, analysts, and financial reporting teams use to build scalable, secure, and reliable data solutions. The environment includes a modern Microsoft Fabric analytics platform utilizing a Bronze/Silver/Gold medallion architecture, along with a significant on-premises SQL Server environment supporting core transactional workloads. You will help define how data moves from systems such as Dynamics 365 F&O, SQL Server, APIs, and flat files into Microsoft Fabric and OneLake, how it is transformed and modeled, and how it ultimately supports trusted Power BI reporting and analytics. This role offers the opportunity to have significant influence over the organization's long-term data strategy while remaining hands-on with architecture and technology. What You'll Do Enterprise Data Architecture Own and evolve the organization's target-state data architecture across Microsoft Fabric and on-premises SQL Server. Establish architectural standards for determining which workloads should remain on-premises, move to the cloud, or operate in a hybrid model. Define and maintain the organization's Bronze, Silver, and Gold data architecture standards. Design logical and physical data models, dimensional models, and enterprise data structures. Maintain and improve the enterprise data model, business glossary, and data dictionary. Create reference architectures, technical standards, and architecture decision records. Review significant data designs and provide architectural guidance before development begins. Partner with technical and business stakeholders to translate organizational goals into scalable data solutions. Hybrid & On-Premises Data Integration Design integration strategies between SQL Server and Microsoft Fabric. Determine the appropriate integration approach based on data volume, latency, performance, complexity, and cost. Establish strategies for change data capture (CDC), incremental loading, and data watermarking. Design solutions that keep cloud data current while protecting the performance and stability of transactional systems. Partner with database and data engineering teams on high availability, disaster recovery, retention, and archival strategies. Establish standards around SQL Server database design, indexing, partitioning, and performance. Microsoft Fabric Architecture Design Microsoft Fabric tenant, workspace, and capacity architecture. Establish development, testing, and production promotion processes across data, financial analytics, and business reporting environments. Define clear ownership boundaries between IT, FP&A, and business reporting teams. Establish Direct Lake as the preferred Power BI connectivity approach while determining when Import or DirectQuery may be appropriate. Develop standards for source control and deployment using Git and Azure DevOps. Establish best practices for Fabric pipelines, notebooks, semantic models, SQL objects, and other data assets. Monitor platform performance, capacity utilization, and cost, and identify opportunities for optimization. Data Governance, Security & Quality Establish data security standards across the Bronze, Silver, and Gold layers. Partner with security and data governance teams to ensure appropriate access controls and data protection. Support implementation and use of Microsoft Purview for data cataloging, lineage, classification, and governance. Establish data quality and reconciliation standards to ensure reporting data can be traced back to source systems. Help establish standards around promoted and certified Power BI datasets and semantic models. Partner with stakeholders to improve confidence, consistency, and trust in enterprise data. AI & Emerging Data Capabilities Help establish the data foundation needed to support AI, analytics, and agent-based applications. Design structured and unstructured data access patterns for use cases such as Copilot Studio and Retrieval-Augmented Generation (RAG). Evaluate emerging database and data platform capabilities, including vector search, semantic search, and in-database embeddings. Identify practical opportunities where AI and advanced data capabilities can create measurable business value. Collaboration & Mentorship Serve as a technical resource and mentor for data engineers, analysts, and financial reporting teams. Establish and promote strong data modeling and architecture practices. Collaborate with Software Architecture, Infrastructure, Security, Data Governance, FP&A, and business stakeholders. Communicate complex technical concepts clearly to both technical and executive audiences. Provide architectural leadership without requiring direct people management. What We're Looking For Required Qualifications Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field. 5+ years of experience designing and delivering enterprise data solutions. At least 2 years of experience in a data architecture, lead data engineering, or similar senior technical role. Experience designing modern cloud analytics or data platforms. Strong Microsoft Fabric experience preferred; experience with Synapse, Databricks, or comparable lakehouse technologies will also be considered. Strong hands-on experience with SQL Server and T-SQL, including database design, indexing, partitioning, and performance tuning. Strong understanding of dimensional modeling, star schemas, medallion architecture, and ETL/ELT design. Experience integrating on-premises data sources with cloud data platforms. Experience with CDC, incremental loading, and data integration patterns. Working knowledge of Power BI semantic models, DAX, and row-level security. Experience with Python or PySpark for data transformation and large-scale data processing. Experience using Git and Azure DevOps for data and development assets. Strong communication and collaboration skills with the ability to work across technical and business teams. Preferred Qualifications Microsoft certification such as: Microsoft Certified: Fabric Analytics Engineer Microsoft Certified: Fabric Data Engineer Azure Solutions Architect Expert Experience with Dynamics 365 Finance & Operations (F&O) data structures and integrations. Experience with Microsoft Purview. Experience supporting FP&A, financial reporting, or enterprise finance data. Knowledge of General Ledger, cost center, allocation, or similar financial data models. Experience participating in architecture review boards or enterprise technology governance initiatives. Experience in construction, specialty contracting, or another project-based industry. Kansas City metro area resident preferred. This position is not eligible for visa sponsorship.
Job Description At The ReWork Group, we partner with high-growth startups and forward-thinking companies to build the future. Our client is building a platform where AI doesn't just analyze data; it reasons across it, forecasts what's coming, and acts on its own. We're looking for their Software Engineering Manager , the person who owns the backend from the whiteboard to production and pulls the team up along the way. You'll write the code that matters, make the architectural calls that are expensive to get wrong, and raise the ceiling for every engineer sitting next to you. If you've been the person who quietly holds the system together and makes everyone around you sharper, this is the job that finally pays you for both. This is a high-ownership seat on a small team moving at startup speed. There's no wall between the people who design systems and the people who run them. You build it, you ship it, you own it in the wild. What You'll Do: Architecture. Design and stand up backend services that hold up under real load, not just on a slide. APIs. Build the interfaces the rest of the product leans on, and build them to last. Data. Go deep on databases: schema, queries, and the performance work that separates fast products from slow ones. Quality. Ship with strong unit testing, because the bugs that reach production are the expensive kind. DevOps. Deploy, monitor, and improve systems in production. You own what you ship, end to end. Mentorship. Grow the engineers around you. Your best leverage isn't your own keyboard; it's the team's. Who You Are: A player-coach who writes real code and makes everyone next to you better at the same time. Someone who moves fast and does their best work in startup-grade ambiguity. Wired for ownership. You set the bar; you don't wait for someone to set it for you. Already using AI to work faster and sharper, because that's now table stakes, not a bonus. What You Bring: Real production experience building and running backend services at scale, not just prototypes. Expert-level Python experience. Solid understanding of DevOps concepts, including containers, deployment, monitoring, and reliability Fluency with API design and the tradeoffs that come with it. Deep database chops: you can model the data, write the queries, and find the bottleneck. A track record of testing and operational discipline, because you've felt the cost of skipping it. Enough leadership range to mentor without a title and to level up a team by example.
10/25/2026
Full time
Job Description At The ReWork Group, we partner with high-growth startups and forward-thinking companies to build the future. Our client is building a platform where AI doesn't just analyze data; it reasons across it, forecasts what's coming, and acts on its own. We're looking for their Software Engineering Manager , the person who owns the backend from the whiteboard to production and pulls the team up along the way. You'll write the code that matters, make the architectural calls that are expensive to get wrong, and raise the ceiling for every engineer sitting next to you. If you've been the person who quietly holds the system together and makes everyone around you sharper, this is the job that finally pays you for both. This is a high-ownership seat on a small team moving at startup speed. There's no wall between the people who design systems and the people who run them. You build it, you ship it, you own it in the wild. What You'll Do: Architecture. Design and stand up backend services that hold up under real load, not just on a slide. APIs. Build the interfaces the rest of the product leans on, and build them to last. Data. Go deep on databases: schema, queries, and the performance work that separates fast products from slow ones. Quality. Ship with strong unit testing, because the bugs that reach production are the expensive kind. DevOps. Deploy, monitor, and improve systems in production. You own what you ship, end to end. Mentorship. Grow the engineers around you. Your best leverage isn't your own keyboard; it's the team's. Who You Are: A player-coach who writes real code and makes everyone next to you better at the same time. Someone who moves fast and does their best work in startup-grade ambiguity. Wired for ownership. You set the bar; you don't wait for someone to set it for you. Already using AI to work faster and sharper, because that's now table stakes, not a bonus. What You Bring: Real production experience building and running backend services at scale, not just prototypes. Expert-level Python experience. Solid understanding of DevOps concepts, including containers, deployment, monitoring, and reliability Fluency with API design and the tradeoffs that come with it. Deep database chops: you can model the data, write the queries, and find the bottleneck. A track record of testing and operational discipline, because you've felt the cost of skipping it. Enough leadership range to mentor without a title and to level up a team by example.
Job Description Atos is a global leader in digital transformation, providing end-to-end technology solutions in cloud, cybersecurity, data, artificial intelligence, digital workplace, and enterprise applications. With a strong global presence and a commitment to innovation, Atos empowers organizations to accelerate their digital transformation journey through cutting-edge technologies and sustainable business practices. Our teams work with leading enterprises worldwide, delivering impactful solutions that drive business value and operational excellence. Job Title: Java Developer Experience: 4-10 Years Location: Phoenix, AZ (Onsite) Employment Type: Full-Time Role Overview At Atos, we are looking for a skilled and innovative Java Developer with strong expertise in React.js , API Development & Integration , and exposure to AI-powered development tools and solutions . The ideal candidate will be responsible for designing, developing, and maintaining high-performance enterprise applications while leveraging modern AI technologies to enhance development efficiency and business outcomes. The candidate should possess strong backend development expertise using Java technologies, hands-on experience building modern front-end applications with React, and the ability to integrate enterprise systems through secure and scalable APIs. Key Responsibilities Design, develop, test, and deploy scalable enterprise applications using Java , Spring Boot , and React.js . Develop robust RESTful APIs , Microservices, and system integrations. Collaborate with solution architects, business analysts, and product teams to deliver innovative solutions. Build responsive and user-friendly interfaces using React.js and modern front-end frameworks. Integrate AI services and intelligent automation features into enterprise applications. Utilize AI-assisted development tools such as GitHub Copilot , Microsoft Copilot , and Generative AI platforms to improve productivity and code quality. Ensure application security, scalability, performance, and maintainability. Participate in Agile ceremonies, technical reviews, and continuous improvement initiatives. Develop and maintain CI/CD pipelines and DevOps best practices. Troubleshoot and resolve application issues across development and production environments. Required Technical Skills Backend Development Strong experience in Java 8/11/17+ Expertise in Spring Boot , Spring MVC, Spring Security Microservices architecture and distributed systems Strong understanding of object-oriented programming principles Frontend Development Strong experience with React.js JavaScript (ES6+), TypeScript HTML5, CSS3, Bootstrap, Material UI State management libraries (Redux, Context API) API & Integration Strong hands-on experience developing and consuming REST APIs API Security (OAuth2, JWT, OpenID Connect) Experience with API gateways and integration frameworks Knowledge of JSON, XML, and third-party integrations Database & Cloud SQL Server, Oracle, PostgreSQL, or MongoDB Azure, AWS, or GCP exposure Docker and Kubernetes knowledge preferred AI & Emerging Technology Exposure Experience using Microsoft Copilot , GitHub Copilot , ChatGPT, or similar AI-assisted development platforms. Understanding of Generative AI , Prompt Engineering, and AI-based automation. Exposure to integrating AI services such as Azure OpenAI , Azure AI Services, or other AI APIs. Interest in leveraging AI tools to accelerate software development, testing, and documentation activities. Preferred Qualifications Experience working within Agile/Scrum environments. Knowledge of DevOps practices and tools such as Azure DevOps, Jenkins, GitHub Actions. Experience with Kafka, RabbitMQ, or event-driven architectures. Strong analytical, communication, and stakeholder management skills. Education Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, or a related discipline.
10/25/2026
Full time
Job Description Atos is a global leader in digital transformation, providing end-to-end technology solutions in cloud, cybersecurity, data, artificial intelligence, digital workplace, and enterprise applications. With a strong global presence and a commitment to innovation, Atos empowers organizations to accelerate their digital transformation journey through cutting-edge technologies and sustainable business practices. Our teams work with leading enterprises worldwide, delivering impactful solutions that drive business value and operational excellence. Job Title: Java Developer Experience: 4-10 Years Location: Phoenix, AZ (Onsite) Employment Type: Full-Time Role Overview At Atos, we are looking for a skilled and innovative Java Developer with strong expertise in React.js , API Development & Integration , and exposure to AI-powered development tools and solutions . The ideal candidate will be responsible for designing, developing, and maintaining high-performance enterprise applications while leveraging modern AI technologies to enhance development efficiency and business outcomes. The candidate should possess strong backend development expertise using Java technologies, hands-on experience building modern front-end applications with React, and the ability to integrate enterprise systems through secure and scalable APIs. Key Responsibilities Design, develop, test, and deploy scalable enterprise applications using Java , Spring Boot , and React.js . Develop robust RESTful APIs , Microservices, and system integrations. Collaborate with solution architects, business analysts, and product teams to deliver innovative solutions. Build responsive and user-friendly interfaces using React.js and modern front-end frameworks. Integrate AI services and intelligent automation features into enterprise applications. Utilize AI-assisted development tools such as GitHub Copilot , Microsoft Copilot , and Generative AI platforms to improve productivity and code quality. Ensure application security, scalability, performance, and maintainability. Participate in Agile ceremonies, technical reviews, and continuous improvement initiatives. Develop and maintain CI/CD pipelines and DevOps best practices. Troubleshoot and resolve application issues across development and production environments. Required Technical Skills Backend Development Strong experience in Java 8/11/17+ Expertise in Spring Boot , Spring MVC, Spring Security Microservices architecture and distributed systems Strong understanding of object-oriented programming principles Frontend Development Strong experience with React.js JavaScript (ES6+), TypeScript HTML5, CSS3, Bootstrap, Material UI State management libraries (Redux, Context API) API & Integration Strong hands-on experience developing and consuming REST APIs API Security (OAuth2, JWT, OpenID Connect) Experience with API gateways and integration frameworks Knowledge of JSON, XML, and third-party integrations Database & Cloud SQL Server, Oracle, PostgreSQL, or MongoDB Azure, AWS, or GCP exposure Docker and Kubernetes knowledge preferred AI & Emerging Technology Exposure Experience using Microsoft Copilot , GitHub Copilot , ChatGPT, or similar AI-assisted development platforms. Understanding of Generative AI , Prompt Engineering, and AI-based automation. Exposure to integrating AI services such as Azure OpenAI , Azure AI Services, or other AI APIs. Interest in leveraging AI tools to accelerate software development, testing, and documentation activities. Preferred Qualifications Experience working within Agile/Scrum environments. Knowledge of DevOps practices and tools such as Azure DevOps, Jenkins, GitHub Actions. Experience with Kafka, RabbitMQ, or event-driven architectures. Strong analytical, communication, and stakeholder management skills. Education Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, or a related discipline.
Job Description Job Description Overview Senior Software Test Lead Melbourne, FL Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer's core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level! The Senior Software Test Lead leads software quality assurance for enterprise Management Information Systems (MIS), including cloud-based and database-driven applications that use Oracle and Microsoft SQL Server. The position supports mission-critical operations within a team providing IT support, maintenance, operations, logistics, and engineering services. This hands-on lead directs test planning, execution, automation, accessibility testing, defect management, and quality reporting. The role provides evidence and release-readiness recommendations to program leadership, coordinates specialist assessments, and supports stakeholder acceptance. Designated authorities retain final acceptance and risk decisions. The role is responsible for test strategy, planning, execution, automation, accessibility compliance, defect management, and quality reporting. The Software Test Lead will support Oracle and Microsoft SQL Server-based systems and ensure solutions meet functional, performance, security, and Section 508 accessibility requirements. Responsibilities Lead and coordinate software testing activities across the full Software Development Life Cycle (SDLC), including test strategy, planning, prioritization, scheduling, resource coordination, and risk-based testing. Develop and maintain test plans, procedures, test cases, execution records, traceability matrices, and quality reports that provide repeatable testing and auditable results. Plan, execute, and oversee functional, integration, system, API, regression, performance, accessibility, and user acceptance testing to validate application quality and requirements coverage. Establish test entry and exit criteria, assess testing readiness, identify coverage gaps, and manage testing risks, dependencies, exceptions, and blocked tests. Design, implement, and maintain automated test frameworks and scripts using industry-standard tools, and integrate automated testing into CI/CD pipelines where applicable. Lead Section 508 and WCAG accessibility compliance testing, including validation of assistive technology compatibility, keyboard navigation, and accessibility standards. Validate application functionality, data integrity, authentication, authorization, session management, audit capabilities, and performance against approved requirements. Manage defects through reproduction, severity assessment, triage, retesting, regression verification, and closure; track and report defect status, quality trends, and remediation progress. Coordinate user acceptance testing and collaborate with developers, database administrators, cybersecurity personnel, business analysts, accessibility specialists, and stakeholders to resolve issues and support successful delivery. Report testing progress, quality metrics, coverage, risks, unresolved defects, and release readiness; provide recommendations regarding residual risk and production deployment decisions. Mentor test engineers, promote quality assurance best practices, maintain testing documentation, and drive continuous process improvement. Perform other duties as assigned. Qualifications Bachelor's degree in Computer Science, Information Systems, Software Engineering, or related field; or an Associate's degree with two additional years of relevant experience. 4+ years of SDLC testing experience. 2+ years leading software testing teams or major test efforts. Secret clearance required. Preferred Qualifications: 6+ years of SDLC testing experience. 4+ years leading software testing teams or major test efforts. Experience supporting enterprise Management Information Systems (MIS) applications. Experience with testing systems which utilize Oracle and Microsoft SQL Server databases. Experience with manual and automated testing methodologies. Demonstrated experience developing and maintaining automated tests with Selenium, Playwright, Cypress, or comparable frameworks within an approved program toolset. Experience working in Agile, Scrum, and DevSecOps environments, including test integration with CI/CD pipelines where applicable. Experience with Azure DevOps, Jira, or comparable tools for test management, requirements tracking, defect reporting, and collaboration. Practical experience with assistive technologies and accessibility tools such as JAWS, NVDA, axe, Accessibility Insights, or comparable tools. Experience testing applications in government or other regulated environments. Experience validating legacy application modernization and database migrations. Knowledge, Skills and Abilities: Strong knowledge of software testing principles, risk-based testing, requirements traceability, defect management, and release-readiness assessment. Proficiency in a programming or scripting language appropriate to the selected automation framework and ability to develop UI, API, regression, and database tests. Strong SQL skills for validating Oracle and Microsoft SQL Server application data, business rules, and reconciliation results. Demonstrated ability to conduct and document Section 508 and applicable WCAG assessments using approved manual and automated methods. Ability to plan representative test environments and data, interpret performance results, and coordinate application security testing with technical specialists. Strong analytical, troubleshooting, documentation, communication, and leadership skills, with the ability to explain quality risks and mentor team members. Ability to recognize the limitations of automated accessibility testing. How you'll grow At Chenega MIOS, our professional development plan focuses on helping our team members at every level of their careers to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their careers. Benefits At Chenega MIOS, we know that great people make a great organization. We value our team members and offer them a broad range of benefits. Learn more about what working at Chenega MIOS can mean for you. Chenega MIOS's culture Our positive and supportive culture encourages our team members to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them be healthy, centered, confident, and aware. We offer well-being programs and continuously look for new ways to maintain a culture where we excel and lead healthy, happy lives. Corporate citizenship Chenega MIOS is led by a purpose to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our team members, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Chenega's impact on the world. Chenega MIOS News- Tips from your Talent Acquisition Team We want job seekers exploring opportunities at Chenega MIOS to feel prepared and confident. To help you with your research, we suggest you review the following links: Chenega MIOS web site - Glassdoor at-Chenega-MIOS- EI_IE369514.11,23.htm LinkedIn - Facebook - Operations
10/23/2026
Full time
Job Description Job Description Overview Senior Software Test Lead Melbourne, FL Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer's core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level! The Senior Software Test Lead leads software quality assurance for enterprise Management Information Systems (MIS), including cloud-based and database-driven applications that use Oracle and Microsoft SQL Server. The position supports mission-critical operations within a team providing IT support, maintenance, operations, logistics, and engineering services. This hands-on lead directs test planning, execution, automation, accessibility testing, defect management, and quality reporting. The role provides evidence and release-readiness recommendations to program leadership, coordinates specialist assessments, and supports stakeholder acceptance. Designated authorities retain final acceptance and risk decisions. The role is responsible for test strategy, planning, execution, automation, accessibility compliance, defect management, and quality reporting. The Software Test Lead will support Oracle and Microsoft SQL Server-based systems and ensure solutions meet functional, performance, security, and Section 508 accessibility requirements. Responsibilities Lead and coordinate software testing activities across the full Software Development Life Cycle (SDLC), including test strategy, planning, prioritization, scheduling, resource coordination, and risk-based testing. Develop and maintain test plans, procedures, test cases, execution records, traceability matrices, and quality reports that provide repeatable testing and auditable results. Plan, execute, and oversee functional, integration, system, API, regression, performance, accessibility, and user acceptance testing to validate application quality and requirements coverage. Establish test entry and exit criteria, assess testing readiness, identify coverage gaps, and manage testing risks, dependencies, exceptions, and blocked tests. Design, implement, and maintain automated test frameworks and scripts using industry-standard tools, and integrate automated testing into CI/CD pipelines where applicable. Lead Section 508 and WCAG accessibility compliance testing, including validation of assistive technology compatibility, keyboard navigation, and accessibility standards. Validate application functionality, data integrity, authentication, authorization, session management, audit capabilities, and performance against approved requirements. Manage defects through reproduction, severity assessment, triage, retesting, regression verification, and closure; track and report defect status, quality trends, and remediation progress. Coordinate user acceptance testing and collaborate with developers, database administrators, cybersecurity personnel, business analysts, accessibility specialists, and stakeholders to resolve issues and support successful delivery. Report testing progress, quality metrics, coverage, risks, unresolved defects, and release readiness; provide recommendations regarding residual risk and production deployment decisions. Mentor test engineers, promote quality assurance best practices, maintain testing documentation, and drive continuous process improvement. Perform other duties as assigned. Qualifications Bachelor's degree in Computer Science, Information Systems, Software Engineering, or related field; or an Associate's degree with two additional years of relevant experience. 4+ years of SDLC testing experience. 2+ years leading software testing teams or major test efforts. Secret clearance required. Preferred Qualifications: 6+ years of SDLC testing experience. 4+ years leading software testing teams or major test efforts. Experience supporting enterprise Management Information Systems (MIS) applications. Experience with testing systems which utilize Oracle and Microsoft SQL Server databases. Experience with manual and automated testing methodologies. Demonstrated experience developing and maintaining automated tests with Selenium, Playwright, Cypress, or comparable frameworks within an approved program toolset. Experience working in Agile, Scrum, and DevSecOps environments, including test integration with CI/CD pipelines where applicable. Experience with Azure DevOps, Jira, or comparable tools for test management, requirements tracking, defect reporting, and collaboration. Practical experience with assistive technologies and accessibility tools such as JAWS, NVDA, axe, Accessibility Insights, or comparable tools. Experience testing applications in government or other regulated environments. Experience validating legacy application modernization and database migrations. Knowledge, Skills and Abilities: Strong knowledge of software testing principles, risk-based testing, requirements traceability, defect management, and release-readiness assessment. Proficiency in a programming or scripting language appropriate to the selected automation framework and ability to develop UI, API, regression, and database tests. Strong SQL skills for validating Oracle and Microsoft SQL Server application data, business rules, and reconciliation results. Demonstrated ability to conduct and document Section 508 and applicable WCAG assessments using approved manual and automated methods. Ability to plan representative test environments and data, interpret performance results, and coordinate application security testing with technical specialists. Strong analytical, troubleshooting, documentation, communication, and leadership skills, with the ability to explain quality risks and mentor team members. Ability to recognize the limitations of automated accessibility testing. How you'll grow At Chenega MIOS, our professional development plan focuses on helping our team members at every level of their careers to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their careers. Benefits At Chenega MIOS, we know that great people make a great organization. We value our team members and offer them a broad range of benefits. Learn more about what working at Chenega MIOS can mean for you. Chenega MIOS's culture Our positive and supportive culture encourages our team members to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them be healthy, centered, confident, and aware. We offer well-being programs and continuously look for new ways to maintain a culture where we excel and lead healthy, happy lives. Corporate citizenship Chenega MIOS is led by a purpose to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our team members, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Chenega's impact on the world. Chenega MIOS News- Tips from your Talent Acquisition Team We want job seekers exploring opportunities at Chenega MIOS to feel prepared and confident. To help you with your research, we suggest you review the following links: Chenega MIOS web site - Glassdoor at-Chenega-MIOS- EI_IE369514.11,23.htm LinkedIn - Facebook - Operations
