Job Description Senior Linux Platform Engineer Salary: open + bonus Location: Chicago, IL / Kansas City, MO / New York, NY Hybrid: 4 days onsite, 1 day remote We are unable to provide sponsorship for this role Qualifications 5+ years of experience in Linux systems administration and infrastructure/platform engineering. Production experience managing Kubernetes, preferably in bare-metal or on-premises environments (e.g., with kubeadm, RKE, or OpenShift). Hands-on experience with cloud platforms (AWS, Azure or GCP) in production environments. Strong scripting and automation skills in Python and Bash. In-depth knowledge of Linux internals, kernel tuning, and performance diagnostics. Hands-on experience with SaltStack (preferred), Puppet, or Ansible for configuration management. Familiarity with observability tools such as Prometheus, Grafana, or Loki. Solid understanding of core infrastructure protocols and services (TCP/IP, DNS, NTP/PTP, DHCP, etc.). Experience managing CI/CD pipelines with tools such as Jenkins, GitLab, or similar. Responsibilities Managing and improving our Linux-based infrastructure with a focus on performance, reliability, and scalability. Designing, deploying, and maintaining on-premises Kubernetes clusters and containerized workloads. Developing and maintaining system-level software, middleware, and APIs to support internal platforms and services. Automating system workflows and infrastructure tasks using Python, Bash, and configuration management tools like SaltStack. Building and maintaining RPM packages and internal software repositories. Collaborating with Application Support (SRE), Development, and Security teams to ensure secure, automated CI/CD and platform integration. Diagnosing and resolving complex system-level issues involving the OS, network, or container runtime. Implementing hardened security configurations, including system hardening, secure communications, and identity/access integration. Participating in an on-call rotation to support critical infrastructure services. Documenting architectures, tools, and operational processes to support long-term maintainability.
11/14/2026
Full time
Job Description Senior Linux Platform Engineer Salary: open + bonus Location: Chicago, IL / Kansas City, MO / New York, NY Hybrid: 4 days onsite, 1 day remote We are unable to provide sponsorship for this role Qualifications 5+ years of experience in Linux systems administration and infrastructure/platform engineering. Production experience managing Kubernetes, preferably in bare-metal or on-premises environments (e.g., with kubeadm, RKE, or OpenShift). Hands-on experience with cloud platforms (AWS, Azure or GCP) in production environments. Strong scripting and automation skills in Python and Bash. In-depth knowledge of Linux internals, kernel tuning, and performance diagnostics. Hands-on experience with SaltStack (preferred), Puppet, or Ansible for configuration management. Familiarity with observability tools such as Prometheus, Grafana, or Loki. Solid understanding of core infrastructure protocols and services (TCP/IP, DNS, NTP/PTP, DHCP, etc.). Experience managing CI/CD pipelines with tools such as Jenkins, GitLab, or similar. Responsibilities Managing and improving our Linux-based infrastructure with a focus on performance, reliability, and scalability. Designing, deploying, and maintaining on-premises Kubernetes clusters and containerized workloads. Developing and maintaining system-level software, middleware, and APIs to support internal platforms and services. Automating system workflows and infrastructure tasks using Python, Bash, and configuration management tools like SaltStack. Building and maintaining RPM packages and internal software repositories. Collaborating with Application Support (SRE), Development, and Security teams to ensure secure, automated CI/CD and platform integration. Diagnosing and resolving complex system-level issues involving the OS, network, or container runtime. Implementing hardened security configurations, including system hardening, secure communications, and identity/access integration. Participating in an on-call rotation to support critical infrastructure services. Documenting architectures, tools, and operational processes to support long-term maintainability.
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 17000, and has 58 offices in 22 countries within key global markets. Our Challenge: We are seeking an experienced Java Developer with proven Greenfield design expertise and a strong Java development background to lead the architecture and delivery. This role involves close collaboration with the client's Enterprise Architect and Delivery Director to deliver large-scale, innovative solutions leveraging Gen AI. 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 $90k - $120k/year & benefits (see below). The Role: Responsibilities: Design and develop web user interfaces and APIs using Java/JavaScript/Spring/Angular technologies. Develop application code, write unit tests and integration tests using Junit/Spock/Jasmine/Karma. Work closely with business stakeholders, UX Design teams and downstream systems. Build cloud-native applications using container technologies like Docker and deploy in OpenShift/AWS EKS Support the production release, monitoring and triaging issues on time Requirements: Bachelor's Degree in Computer Science/Engineering or equivalent. 7+ years of IT work experience in frontend and backend frameworks. Good hands-on experience in core Java, Spring-boot, Microservices. Good experience in Angular or React.Js. Strong expertise with HTML, JavaScript, and writing cross-browser compatible code. Good understanding of AJAX, JavaScript DOM manipulation techniques, JavaScript MV-VM/MVC frameworks and SPA applications. Experience using JavaScript tools like Node.js, Webpack, Jasmine, Karma, Protractor, JSLint, etc. Writing extensive unit tests using automated TDD task. Creating E2E test suites for all components, and running them with Protractor (or a well-reasoned alternative). Knowledge of Java EE technologies, Spring framework (i.e. Core, Security, MVC). Experience with build automation using Ant or Maven or Gradle. Preferred experience with Cloud and container technologies such as Docker, Kubernetes, OpenShift, AWS, EKS Preferred experience with CI/CD tools like Jenkins, Gitlab CI or ElectricFlow. Good in database queries. Working experience of iterative and incremental development process. Good interpersonal and communication skills is key. Preferred, but not required: Work experience in PCF, GCP, Python Unix shell scripting experience. Database experience - Oracle SQL/PLSQL, MongoDB, SQL Server, RDS, DynamoDB 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.
11/14/2026
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 17000, and has 58 offices in 22 countries within key global markets. Our Challenge: We are seeking an experienced Java Developer with proven Greenfield design expertise and a strong Java development background to lead the architecture and delivery. This role involves close collaboration with the client's Enterprise Architect and Delivery Director to deliver large-scale, innovative solutions leveraging Gen AI. 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 $90k - $120k/year & benefits (see below). The Role: Responsibilities: Design and develop web user interfaces and APIs using Java/JavaScript/Spring/Angular technologies. Develop application code, write unit tests and integration tests using Junit/Spock/Jasmine/Karma. Work closely with business stakeholders, UX Design teams and downstream systems. Build cloud-native applications using container technologies like Docker and deploy in OpenShift/AWS EKS Support the production release, monitoring and triaging issues on time Requirements: Bachelor's Degree in Computer Science/Engineering or equivalent. 7+ years of IT work experience in frontend and backend frameworks. Good hands-on experience in core Java, Spring-boot, Microservices. Good experience in Angular or React.Js. Strong expertise with HTML, JavaScript, and writing cross-browser compatible code. Good understanding of AJAX, JavaScript DOM manipulation techniques, JavaScript MV-VM/MVC frameworks and SPA applications. Experience using JavaScript tools like Node.js, Webpack, Jasmine, Karma, Protractor, JSLint, etc. Writing extensive unit tests using automated TDD task. Creating E2E test suites for all components, and running them with Protractor (or a well-reasoned alternative). Knowledge of Java EE technologies, Spring framework (i.e. Core, Security, MVC). Experience with build automation using Ant or Maven or Gradle. Preferred experience with Cloud and container technologies such as Docker, Kubernetes, OpenShift, AWS, EKS Preferred experience with CI/CD tools like Jenkins, Gitlab CI or ElectricFlow. Good in database queries. Working experience of iterative and incremental development process. Good interpersonal and communication skills is key. Preferred, but not required: Work experience in PCF, GCP, Python Unix shell scripting experience. Database experience - Oracle SQL/PLSQL, MongoDB, SQL Server, RDS, DynamoDB 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 Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location Atlanta GA, Chicago IL, New York NY, San Francisco CA Your Role We are seeking an Anthropic Identity & Integration Lead to design, implement, and support secure enterprise deployments of Anthropic solutions. This role focuses on platform deployment, identity management, security integration, provisioning, administration, and enterprise connectivity. The successful candidate will work closely with customer IT, IAM, security, networking, and infrastructure teams to move implementations through security review, go-live readiness, provisioning, and initial production activation. • Lead technical kickoff and deployment workshops with customer IT, IAM, security, and infrastructure teams. • Assess customer environments, select the deployment path, and define the implementation plan. • Design and configure enterprise single sign-on using appropriate identity federation standards and providers. • Configure SCIM provisioning and support user lifecycle management. • Implement administrative policies, role-based access controls, and security configurations. • Configure Model Context Protocol (MCP) connectors and enterprise integrations where applicable. • Provision seats, users, groups, environments, and supported access surfaces. • Coordinate security reviews, compliance activities, testing, and go-live gates. • Collaborate with IAM, networking, cloud, application, and security teams to resolve deployment issues. • Develop implementation documentation, operating procedures, and technical runbooks. • Support initial cohort activation and transition the deployed service to ongoing operations. • Identify opportunities to extend the platform through Claude Code, Cowork, APIs, MCP, and custom AI solutions. Required Qualifications • Agentic AI development experience • Vibe coding experience with Claude Code • Complex task automation with Claude Cowork Required Skills and Experience • Master's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience. • Experience implementing enterprise SaaS platforms, cloud services, or identity-integrated applications. • Strong understanding of Identity and Access Management (IAM). • Experience configuring SSO using SAML, OAuth 2.0, or OpenID Connect. • Experience with SCIM provisioning and user lifecycle management. • Experience with enterprise security controls, access policies, and security review processes. • Understanding of APIs, network connectivity, and enterprise integration patterns. • Familiarity with at least one major cloud platform such as AWS, Microsoft Azure, or Google Cloud. • Strong troubleshooting, documentation, and technical diagnostic skills. • Experience working directly with enterprise IT and security organizations. Preferred Qualifications • Experience implementing Anthropic services or comparable enterprise AI platforms. • Experience with Model Context Protocol (MCP) servers, clients, or connectors. • Familiarity with Claude Code, Cowork, Anthropic APIs, and enterprise AI administration. • Experience with security governance, compliance, and risk-management processes. • Knowledge of enterprise architecture, API security, and integration patterns. • Consulting or customer-facing delivery experience. • Software engineering experience with Python, TypeScript, REST APIs, or cloud-native services. Key Competencies • Identity and access management • Enterprise integration • Secure platform deployment • Technical consulting • Cloud and SaaS administration • Governance and compliance • Problem solving and troubleshooting"
11/14/2026
Full time
Job Description Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location Atlanta GA, Chicago IL, New York NY, San Francisco CA Your Role We are seeking an Anthropic Identity & Integration Lead to design, implement, and support secure enterprise deployments of Anthropic solutions. This role focuses on platform deployment, identity management, security integration, provisioning, administration, and enterprise connectivity. The successful candidate will work closely with customer IT, IAM, security, networking, and infrastructure teams to move implementations through security review, go-live readiness, provisioning, and initial production activation. • Lead technical kickoff and deployment workshops with customer IT, IAM, security, and infrastructure teams. • Assess customer environments, select the deployment path, and define the implementation plan. • Design and configure enterprise single sign-on using appropriate identity federation standards and providers. • Configure SCIM provisioning and support user lifecycle management. • Implement administrative policies, role-based access controls, and security configurations. • Configure Model Context Protocol (MCP) connectors and enterprise integrations where applicable. • Provision seats, users, groups, environments, and supported access surfaces. • Coordinate security reviews, compliance activities, testing, and go-live gates. • Collaborate with IAM, networking, cloud, application, and security teams to resolve deployment issues. • Develop implementation documentation, operating procedures, and technical runbooks. • Support initial cohort activation and transition the deployed service to ongoing operations. • Identify opportunities to extend the platform through Claude Code, Cowork, APIs, MCP, and custom AI solutions. Required Qualifications • Agentic AI development experience • Vibe coding experience with Claude Code • Complex task automation with Claude Cowork Required Skills and Experience • Master's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience. • Experience implementing enterprise SaaS platforms, cloud services, or identity-integrated applications. • Strong understanding of Identity and Access Management (IAM). • Experience configuring SSO using SAML, OAuth 2.0, or OpenID Connect. • Experience with SCIM provisioning and user lifecycle management. • Experience with enterprise security controls, access policies, and security review processes. • Understanding of APIs, network connectivity, and enterprise integration patterns. • Familiarity with at least one major cloud platform such as AWS, Microsoft Azure, or Google Cloud. • Strong troubleshooting, documentation, and technical diagnostic skills. • Experience working directly with enterprise IT and security organizations. Preferred Qualifications • Experience implementing Anthropic services or comparable enterprise AI platforms. • Experience with Model Context Protocol (MCP) servers, clients, or connectors. • Familiarity with Claude Code, Cowork, Anthropic APIs, and enterprise AI administration. • Experience with security governance, compliance, and risk-management processes. • Knowledge of enterprise architecture, API security, and integration patterns. • Consulting or customer-facing delivery experience. • Software engineering experience with Python, TypeScript, REST APIs, or cloud-native services. Key Competencies • Identity and access management • Enterprise integration • Secure platform deployment • Technical consulting • Cloud and SaaS administration • Governance and compliance • Problem solving and troubleshooting"
Job Description Key Responsibilities Provide 24x7 production support for enterprise database platforms and mission-critical business applications. Administer database platforms, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability. Monitor database health, availability, capacity, and performance; identify risks early and implement proactive improvements to reduce incidents. Manage and resolve production incidents using established Incident Management processes. Perform root cause analysis and drive long-term remediation through Problem Management practices. Plan, validate, and implement database changes in alignment with Change Management processes. Partner with application, infrastructure, cloud, security, data engineering, and vendor teams to troubleshoot issues and improve platform stability. Contribute to the architecture, design, engineering, and optimization of enterprise-scale data platforms. Develop automation, observability, and self-healing capabilities to improve reliability, reduce manual effort, and increase operational efficiency. Leverage AI-enabled tools and automation frameworks to identify improvement opportunities and accelerate operational outcomes. Required Qualifications 8+ years of hands-on DBA experience supporting PostgreSQL, YugabyteDB, SQL Server, and cloud-native databases such as Amazon Aurora PostgreSQL, Amazon Aurora MySQL, Google Cloud SQL, and Google Cloud Spanner. Strong experience with database administration activities, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability. Deep technical knowledge of PostgreSQL, SQL Server, YugabyteDB, and cloud-native database platforms. Proven ability to troubleshoot complex production issues related to performance, query optimization, workload management, capacity planning, latency, availability, and reliability. Experience with automation and DevOps tools such as Python, Unix shell scripting, Ansible, Terraform, GitHub, and CI/CD pipelines. Hands-on experience with AWS and/or GCP database services, Infrastructure as Code, monitoring, and observability tools such as Grafana and DMC. Understanding of data engineering concepts, including data ingestion, ETL/ELT, data pipelines, data integration, and support for high-volume data workloads. Knowledge of ITIL processes, including Incident, Problem, and Change Management, along with Disaster Recovery and root cause analysis. Strong troubleshooting, communication, ownership, and collaboration skills in a 24x7 production support environment. Solid understanding of database setup, configuration, administration, and replication. Ability to learn quickly, work independently, and take ownership of assigned responsibilities. Willingness to provide rotational weekend and off-hours support as needed.
11/14/2026
Full time
Job Description Key Responsibilities Provide 24x7 production support for enterprise database platforms and mission-critical business applications. Administer database platforms, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability. Monitor database health, availability, capacity, and performance; identify risks early and implement proactive improvements to reduce incidents. Manage and resolve production incidents using established Incident Management processes. Perform root cause analysis and drive long-term remediation through Problem Management practices. Plan, validate, and implement database changes in alignment with Change Management processes. Partner with application, infrastructure, cloud, security, data engineering, and vendor teams to troubleshoot issues and improve platform stability. Contribute to the architecture, design, engineering, and optimization of enterprise-scale data platforms. Develop automation, observability, and self-healing capabilities to improve reliability, reduce manual effort, and increase operational efficiency. Leverage AI-enabled tools and automation frameworks to identify improvement opportunities and accelerate operational outcomes. Required Qualifications 8+ years of hands-on DBA experience supporting PostgreSQL, YugabyteDB, SQL Server, and cloud-native databases such as Amazon Aurora PostgreSQL, Amazon Aurora MySQL, Google Cloud SQL, and Google Cloud Spanner. Strong experience with database administration activities, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability. Deep technical knowledge of PostgreSQL, SQL Server, YugabyteDB, and cloud-native database platforms. Proven ability to troubleshoot complex production issues related to performance, query optimization, workload management, capacity planning, latency, availability, and reliability. Experience with automation and DevOps tools such as Python, Unix shell scripting, Ansible, Terraform, GitHub, and CI/CD pipelines. Hands-on experience with AWS and/or GCP database services, Infrastructure as Code, monitoring, and observability tools such as Grafana and DMC. Understanding of data engineering concepts, including data ingestion, ETL/ELT, data pipelines, data integration, and support for high-volume data workloads. Knowledge of ITIL processes, including Incident, Problem, and Change Management, along with Disaster Recovery and root cause analysis. Strong troubleshooting, communication, ownership, and collaboration skills in a 24x7 production support environment. Solid understanding of database setup, configuration, administration, and replication. Ability to learn quickly, work independently, and take ownership of assigned responsibilities. Willingness to provide rotational weekend and off-hours support as needed.
Job Description Description: Provide 24x7 production support for enterprise database platforms and mission-critical business applications. Administer database platforms, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability. Monitor database health, availability, capacity, and performance; identify risks early and implement proactive improvements to reduce incidents. Manage and resolve production incidents using established Incident Management processes. Perform root cause analysis and drive long-term remediation through Problem Management practices. Plan, validate, and implement database changes in alignment with Change Management processes. Partner with application, infrastructure, cloud, security, data engineering, and vendor teams to troubleshoot issues and improve platform stability. Contribute to the architecture, design, engineering, and optimization of enterprise-scale data platforms. Develop automation, observability, and self-healing capabilities to improve reliability, reduce manual effort, and increase operational efficiency. Leverage AI-enabled tools and automation frameworks to identify improvement opportunities and accelerate operational outcomes. Required Qualifications: 8+ years of hands-on DBA experience supporting PostgreSQL, YugabyteDB, SQL Server, and cloud-native databases such as Amazon Aurora PostgreSQL, Amazon Aurora MySQL, Google Cloud SQL, and Google Cloud Spanner. Strong experience with database administration activities, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability. Deep technical knowledge of PostgreSQL, SQL Server, YugabyteDB, and cloud-native database platforms. Proven ability to troubleshoot complex production issues related to performance, query optimization, workload management, capacity planning, latency, availability, and reliability. Experience with automation and DevOps tools such as Python, Unix shell scripting, Ansible, Terraform, GitHub, and CI/CD pipelines. Hands-on experience with AWS and/or GCP database services, Infrastructure as Code, monitoring, and observability tools such as Grafana and DMC. Understanding of data engineering concepts, including data ingestion, ETL/ELT, data pipelines, data integration, and support for high-volume data workloads. Knowledge of ITIL processes, including Incident, Problem, and Change Management, along with Disaster Recovery and root cause analysis. Strong troubleshooting, communication, ownership, and collaboration skills in a 24x7 production support environment. Solid understanding of database setup, configuration, administration, and replication. Ability to learn quickly, work independently, and take ownership of assigned responsibilities. Willingness to provide rotational weekend and off-hours support as needed. Note: Interview will be In person at Phoenix.
11/14/2026
Full time
Job Description Description: Provide 24x7 production support for enterprise database platforms and mission-critical business applications. Administer database platforms, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability. Monitor database health, availability, capacity, and performance; identify risks early and implement proactive improvements to reduce incidents. Manage and resolve production incidents using established Incident Management processes. Perform root cause analysis and drive long-term remediation through Problem Management practices. Plan, validate, and implement database changes in alignment with Change Management processes. Partner with application, infrastructure, cloud, security, data engineering, and vendor teams to troubleshoot issues and improve platform stability. Contribute to the architecture, design, engineering, and optimization of enterprise-scale data platforms. Develop automation, observability, and self-healing capabilities to improve reliability, reduce manual effort, and increase operational efficiency. Leverage AI-enabled tools and automation frameworks to identify improvement opportunities and accelerate operational outcomes. Required Qualifications: 8+ years of hands-on DBA experience supporting PostgreSQL, YugabyteDB, SQL Server, and cloud-native databases such as Amazon Aurora PostgreSQL, Amazon Aurora MySQL, Google Cloud SQL, and Google Cloud Spanner. Strong experience with database administration activities, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability. Deep technical knowledge of PostgreSQL, SQL Server, YugabyteDB, and cloud-native database platforms. Proven ability to troubleshoot complex production issues related to performance, query optimization, workload management, capacity planning, latency, availability, and reliability. Experience with automation and DevOps tools such as Python, Unix shell scripting, Ansible, Terraform, GitHub, and CI/CD pipelines. Hands-on experience with AWS and/or GCP database services, Infrastructure as Code, monitoring, and observability tools such as Grafana and DMC. Understanding of data engineering concepts, including data ingestion, ETL/ELT, data pipelines, data integration, and support for high-volume data workloads. Knowledge of ITIL processes, including Incident, Problem, and Change Management, along with Disaster Recovery and root cause analysis. Strong troubleshooting, communication, ownership, and collaboration skills in a 24x7 production support environment. Solid understanding of database setup, configuration, administration, and replication. Ability to learn quickly, work independently, and take ownership of assigned responsibilities. Willingness to provide rotational weekend and off-hours support as needed. Note: Interview will be In person at Phoenix.
Job Description Hiring: Lead Data Engineer - Databricks Manhattan, NY Hybrid Remote Also Available We're looking for an experienced Lead Data Engineer with strong hands-on expertise in Databricks, SQL, Python, and PySpark to design and optimize scalable data pipelines and enterprise data platforms. The ideal candidate will provide technical leadership and implement data engineering best practices to support analytics, digital products, and AI-driven use cases. Location: New York, NY (3 days/week or US Remote) Experience: 6-12 Years Interview Process: 3 Rounds, Including One Onsite Round in NY/NJ or at Any Client Office Across the US Work Authorization: USC & GC Candidates Only Key Skills: 6+ years of data engineering experience with substantial hands-on Databricks expertise Strong proficiency in SQL, Python, and PySpark Experience designing and developing scalable data pipelines using Medallion Architecture Strong understanding of Databricks Lakehouse architecture, Delta Lake, and Unity Catalog Experience with batch and incremental data processing, workflow orchestration, and data transformation Expertise in SQL query optimization, distributed processing, and performance tuning Experience with data quality, observability, lineage, and production troubleshooting Familiarity with Git, CI/CD, and production deployment practices Experience with AWS services, particularly S3, is a plus Knowledge of Auto Loader, Structured Streaming, CDC, Databricks Asset Bundles, or Apache Airflow is preferred Databricks Data Engineer Associate or Professional certification is a plus Experience with streaming, clickstream, or advertising datasets is an added advantage What We're Looking For: A technically strong Lead Data Engineer who can build production-grade Databricks solutions, optimize data pipelines for performance and cost efficiency, lead solution design and code reviews, and mentor engineers while delivering scalable and reliable data platforms. Interested? Apply now or DM us to explore this opportunity! You can share resumes at
11/14/2026
Full time
Job Description Hiring: Lead Data Engineer - Databricks Manhattan, NY Hybrid Remote Also Available We're looking for an experienced Lead Data Engineer with strong hands-on expertise in Databricks, SQL, Python, and PySpark to design and optimize scalable data pipelines and enterprise data platforms. The ideal candidate will provide technical leadership and implement data engineering best practices to support analytics, digital products, and AI-driven use cases. Location: New York, NY (3 days/week or US Remote) Experience: 6-12 Years Interview Process: 3 Rounds, Including One Onsite Round in NY/NJ or at Any Client Office Across the US Work Authorization: USC & GC Candidates Only Key Skills: 6+ years of data engineering experience with substantial hands-on Databricks expertise Strong proficiency in SQL, Python, and PySpark Experience designing and developing scalable data pipelines using Medallion Architecture Strong understanding of Databricks Lakehouse architecture, Delta Lake, and Unity Catalog Experience with batch and incremental data processing, workflow orchestration, and data transformation Expertise in SQL query optimization, distributed processing, and performance tuning Experience with data quality, observability, lineage, and production troubleshooting Familiarity with Git, CI/CD, and production deployment practices Experience with AWS services, particularly S3, is a plus Knowledge of Auto Loader, Structured Streaming, CDC, Databricks Asset Bundles, or Apache Airflow is preferred Databricks Data Engineer Associate or Professional certification is a plus Experience with streaming, clickstream, or advertising datasets is an added advantage What We're Looking For: A technically strong Lead Data Engineer who can build production-grade Databricks solutions, optimize data pipelines for performance and cost efficiency, lead solution design and code reviews, and mentor engineers while delivering scalable and reliable data platforms. Interested? Apply now or DM us to explore this opportunity! You can share resumes at
Job Description Test and Evaluation AI Expert Unlock the secrets of intelligence with MANTECH! Join a dynamic team at the forefront of national security, providing advanced solutions to government intelligence agencies. Since 1968, we've been solving the toughest challenges with groundbreaking tech. Explore thrilling projects in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Elevate your career and make a difference. Your adventure begins now-unleash your potential with MANTECH! This is for a future opportunity MANTECH seeks a motivated, career and customer-oriented Test and Evaluation (T&E) AI Expert to join our team in Washington, D.C . This is a hybrid position with one day per month onsite. Responsibilities include but are not limited to: Provide Test and Evaluation expertise on a wide range of Science and Technology activities and missions to include test planning, test execution, data management and test reporting with emphasis on AI/ML enabled systems Provide T&E oversight support of multiple government programs and possess knowledge, expertise, and education in test and evaluation methods with emphasis on AI/ML enabled systems Provide T&E expertise for effectiveness and suitability in an operationally constrained environment Perform T&E Technical Analysis as part of an integrated program team providing technical advisory and lead system integrator technical oversight to the government test and evaluation division lead Evaluate the performance of Artificial Intelligence (AI) solutions using appropriate metrics and validation techniques. Conduct thorough testing to identify and address issues related to accuracy, robustness, and generalization of AI interfaces Design and develop machine learning algorithms, deep learning models, and statistical methods to solve complex problems; includes data preprocessing, feature engineering, model training, validation, and evaluation Provide insight to programming & implementation maturity; review of AI algorithms and models using programming languages such as Python, R, or TensorFlow Support data analysis & visualization reviews: Analyze risks with large datasets to extract meaningful insights and patterns. Provide insight to model deployment & integration: Support the approach and analysis with deploy trained models into production environments, ensuring scalability, reliability, and performance. Develop guides and training materials for T&E of Artificial Intelligence. Update and teach T&E of Artificial Intelligence seminar Required Qualifications: Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field 15+ years of Test and Evaluation experience with a significant portion dedicated to AI testing and evaluation of complex systems Artificial intelligence and/or machine learning experience with T&E interfaces In-depth knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical techniques Experience with data manipulation, analysis, and visualization libraries (e.g., NumPy, pandas, Matplotlib) Familiarity with software development best practices, version control systems (e.g., Git), and Agile methodologies Experience with natural language processing (NLP), computer vision, reinforcement learning, or other specialized areas of AI Knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization engine technologies (e.g., Docker, Kubernetes) Experience with big data processing frameworks (e.g., Spark, Hadoop) and distributed computing Desired Qualifications: Defense Acquisition University (DAU) or DHS Level III Test and Evaluation Certification or equivalent Experience with DHS Acquisition Directives and Acquisition Lifecycle Framework (MD102/ALF) Knowledge, understanding and/or experience with the DHS (or DoD equivalent) Test and Evaluation policies, procedures and best practices for conducting, monitoring, and reviewing operational test and evaluation Clearance Requirements: Must possess active Secret clearance Must be able to obtain DHS suitability Physical Requirements: Must be able to remain in a stationary position 50% Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations The projected compensation range for this position is $128,800.00-$214,500.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just compensation. MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections. MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with MANTECH, please email us at and provide your name and contact information.
11/14/2026
Full time
Job Description Test and Evaluation AI Expert Unlock the secrets of intelligence with MANTECH! Join a dynamic team at the forefront of national security, providing advanced solutions to government intelligence agencies. Since 1968, we've been solving the toughest challenges with groundbreaking tech. Explore thrilling projects in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Elevate your career and make a difference. Your adventure begins now-unleash your potential with MANTECH! This is for a future opportunity MANTECH seeks a motivated, career and customer-oriented Test and Evaluation (T&E) AI Expert to join our team in Washington, D.C . This is a hybrid position with one day per month onsite. Responsibilities include but are not limited to: Provide Test and Evaluation expertise on a wide range of Science and Technology activities and missions to include test planning, test execution, data management and test reporting with emphasis on AI/ML enabled systems Provide T&E oversight support of multiple government programs and possess knowledge, expertise, and education in test and evaluation methods with emphasis on AI/ML enabled systems Provide T&E expertise for effectiveness and suitability in an operationally constrained environment Perform T&E Technical Analysis as part of an integrated program team providing technical advisory and lead system integrator technical oversight to the government test and evaluation division lead Evaluate the performance of Artificial Intelligence (AI) solutions using appropriate metrics and validation techniques. Conduct thorough testing to identify and address issues related to accuracy, robustness, and generalization of AI interfaces Design and develop machine learning algorithms, deep learning models, and statistical methods to solve complex problems; includes data preprocessing, feature engineering, model training, validation, and evaluation Provide insight to programming & implementation maturity; review of AI algorithms and models using programming languages such as Python, R, or TensorFlow Support data analysis & visualization reviews: Analyze risks with large datasets to extract meaningful insights and patterns. Provide insight to model deployment & integration: Support the approach and analysis with deploy trained models into production environments, ensuring scalability, reliability, and performance. Develop guides and training materials for T&E of Artificial Intelligence. Update and teach T&E of Artificial Intelligence seminar Required Qualifications: Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field 15+ years of Test and Evaluation experience with a significant portion dedicated to AI testing and evaluation of complex systems Artificial intelligence and/or machine learning experience with T&E interfaces In-depth knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical techniques Experience with data manipulation, analysis, and visualization libraries (e.g., NumPy, pandas, Matplotlib) Familiarity with software development best practices, version control systems (e.g., Git), and Agile methodologies Experience with natural language processing (NLP), computer vision, reinforcement learning, or other specialized areas of AI Knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization engine technologies (e.g., Docker, Kubernetes) Experience with big data processing frameworks (e.g., Spark, Hadoop) and distributed computing Desired Qualifications: Defense Acquisition University (DAU) or DHS Level III Test and Evaluation Certification or equivalent Experience with DHS Acquisition Directives and Acquisition Lifecycle Framework (MD102/ALF) Knowledge, understanding and/or experience with the DHS (or DoD equivalent) Test and Evaluation policies, procedures and best practices for conducting, monitoring, and reviewing operational test and evaluation Clearance Requirements: Must possess active Secret clearance Must be able to obtain DHS suitability Physical Requirements: Must be able to remain in a stationary position 50% Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations The projected compensation range for this position is $128,800.00-$214,500.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just compensation. MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections. MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with MANTECH, please email us at and provide your name and contact information.
Job Description Dynatrace Support Engineer - Hybrid - Vienna, VA About the role : We are seeking an experienced Dynatrace Support and Lifecycle Management Engineer responsible for the administration, support, upgrade, maintenance, and optimization of enterprise monitoring platforms. The role involves managing Dynatrace , supporting application and infrastructure monitoring solutions, implementing platform lifecycle activities, troubleshooting performance issues, and integrating monitoring tools across hybrid cloud and on-premises environments. The engineer will collaborate with application owners, infrastructure teams, DevOps engineers, and business stakeholders to ensure proactive monitoring, observability, and platform stability. Key responsibilities : Dynatrace Platform Administration Administer and maintain Dynatrace Managed/SaaS environments. Perform OneAgent deployment, configuration, and troubleshooting. Manage Dynatrace ActiveGates and Cluster nodes. Configure monitoring for applications, infrastructure, databases, middleware, containers, and cloud platforms. Create dashboards, management zones, reports, and custom monitoring solutions. Configure alerting, anomaly detection, and problem notifications. Monitor Dynatrace platform health and capacity. Lifecycle Management Plan, validate, and execute Dynatrace upgrades and patches. Perform platform health checks and capacity reviews. Manage environment migrations and onboarding activities. Maintain version compliance across agents and cluster components. Develop upgrade runbooks and rollback procedures. Coordinate maintenance windows and change management activities. Monitoring & Observability Implement Full Stack Monitoring and Digital Experience Monitoring. Configure Real User Monitoring (RUM) and Synthetic Monitoring. Support OpenTelemetry integrations. Monitor application performance, availability, and user experience metrics. Analyze performance bottlenecks and recommend remediation actions. Incident & Problem Management Support production incidents and critical alerts. Troubleshoot monitoring failures and performance issues. Conduct root cause analysis (RCA). Work with application and infrastructure teams for issue resolution. Participate in 24x7 on-call support rotation when required. Automation & Integration Integrate Dynatrace with: ServiceNow Jira Splunk ELK/OpenSearch PagerDuty Microsoft Teams AWS CloudWatch Azure Monitor Develop automation using: REST APIs Python PowerShell Shell scripting Support CI/CD integration for monitoring deployments. Other Monitoring Tools Experience Infrastructure Monitoring Zabbix SolarWinds Nagios PRTG LogicMonitor Required Qualifications : 7+ years of relevant experience Excellent communications skills Relevant certifications are a plus Compensation : $60/hr - $65/hr This is the targeted compensation range for this role. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location. Benefits : We offer a comprehensive benefits package including medical, dental, vision, life, and disability insurance; 401(k) Work Authorization : Work sponsorship is not available for this position. Applicants must be authorized to work in the United States without sponsorship. Equal Employment Opportunity : Zillion Technologies is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law.
11/14/2026
Full time
Job Description Dynatrace Support Engineer - Hybrid - Vienna, VA About the role : We are seeking an experienced Dynatrace Support and Lifecycle Management Engineer responsible for the administration, support, upgrade, maintenance, and optimization of enterprise monitoring platforms. The role involves managing Dynatrace , supporting application and infrastructure monitoring solutions, implementing platform lifecycle activities, troubleshooting performance issues, and integrating monitoring tools across hybrid cloud and on-premises environments. The engineer will collaborate with application owners, infrastructure teams, DevOps engineers, and business stakeholders to ensure proactive monitoring, observability, and platform stability. Key responsibilities : Dynatrace Platform Administration Administer and maintain Dynatrace Managed/SaaS environments. Perform OneAgent deployment, configuration, and troubleshooting. Manage Dynatrace ActiveGates and Cluster nodes. Configure monitoring for applications, infrastructure, databases, middleware, containers, and cloud platforms. Create dashboards, management zones, reports, and custom monitoring solutions. Configure alerting, anomaly detection, and problem notifications. Monitor Dynatrace platform health and capacity. Lifecycle Management Plan, validate, and execute Dynatrace upgrades and patches. Perform platform health checks and capacity reviews. Manage environment migrations and onboarding activities. Maintain version compliance across agents and cluster components. Develop upgrade runbooks and rollback procedures. Coordinate maintenance windows and change management activities. Monitoring & Observability Implement Full Stack Monitoring and Digital Experience Monitoring. Configure Real User Monitoring (RUM) and Synthetic Monitoring. Support OpenTelemetry integrations. Monitor application performance, availability, and user experience metrics. Analyze performance bottlenecks and recommend remediation actions. Incident & Problem Management Support production incidents and critical alerts. Troubleshoot monitoring failures and performance issues. Conduct root cause analysis (RCA). Work with application and infrastructure teams for issue resolution. Participate in 24x7 on-call support rotation when required. Automation & Integration Integrate Dynatrace with: ServiceNow Jira Splunk ELK/OpenSearch PagerDuty Microsoft Teams AWS CloudWatch Azure Monitor Develop automation using: REST APIs Python PowerShell Shell scripting Support CI/CD integration for monitoring deployments. Other Monitoring Tools Experience Infrastructure Monitoring Zabbix SolarWinds Nagios PRTG LogicMonitor Required Qualifications : 7+ years of relevant experience Excellent communications skills Relevant certifications are a plus Compensation : $60/hr - $65/hr This is the targeted compensation range for this role. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location. Benefits : We offer a comprehensive benefits package including medical, dental, vision, life, and disability insurance; 401(k) Work Authorization : Work sponsorship is not available for this position. Applicants must be authorized to work in the United States without sponsorship. Equal Employment Opportunity : Zillion Technologies is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law.
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
11/14/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
11/14/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
11/14/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
11/14/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
11/14/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
11/14/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
11/14/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
11/14/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Pay Range: $25.20hr - $27.63hr Job Overview: The Digital Campaign Specialist is responsible for supporting and executing multi-channel digital campaigns within an internal digital agency environment, with a focus on quality, timeliness, and optimizing the digital customer journey. This role ensures the timely and high-quality delivery of integrated digital campaigns across multiple drive-to channels, including search, digital and social advertising, email with clear and connected calls to action, and web implementation featuring optimized content, creative execution, and intuitive user flows that deliver best-in-class customer experiences while driving awareness, preference, and demand for the organization's brand and products. Reporting to the Head of Digital Campaign Management, this individual contributor role requires strong expertise in multi-channel campaign implementation, campaign assembly, coordination, and execution to successfully deliver client projects. The Digital Campaign Specialist plays a key role in enhancing customer experience and contributing to measurable business outcomes through high-quality digital campaign delivery. This position serves as the primary liaison between Key Account Managers, Business, Marketing and Communications, Digital Channel teams, and Social Media teams to ensure seamless collaboration, alignment, and successful campaign execution. Primary Duties and Responsibilities: Consults on and executes digital customer journeys across web and email channels, including campaign and event landing pages, email creation and automation, and organic keyword research, ensuring high-quality implementation and adherence to digital marketing best practices. Participates actively in campaign kick-off meeting, ensures complete understanding of campaign brief, intent, and details. Accountable for ensuring quality and searchability of content and coordination of artifact development, campaign coding, creation of landing and event pages (as appropriate), set up emails and flow, search ads, vanity URLs/redirects. Consults on content and creative execution for web, emails, search ads, of web within pre-designed templates and answers channel-specific questions and recommends data-driven solutions based on best practices. Coordinates campaign launch; creates and publishes channel content and creative, landing and event pages, emails, activates digital ads as appropriate (search); conducts A/B testing for email, search ads and landing pages as appropriate; manages and delivers collected leads from campaigns and events to region or country CRM teams. Ensures campaign flow, roll-out and publishing of deliverables are met; ensures end-to-end assembly and quality of campaign implementation. Engages subject matter experts (SMEs) as appropriate to bring campaign to production. Ensures quality of customer interactions and promotes a best-in-class customer journey. Prepares and distributes campaign instructions package to countries that are part of the campaign roll-out, collects any country feedback or additional requirements, coordinates additional needs back to BA or region. Keeps attention on campaign results to capture and further apply best practices. Consults on optimization opportunities. Experience / Skills / Qualifications: Bachelor's degree in Marketing, Information Science, Digital/Interactive Communications Design, or a related field required. 3+ years of experience in digital marketing, with demonstrated success supporting and executing digital campaigns. Experience implementing multi-channel digital campaigns, channel drive-to strategies, and/or web design initiatives. Hands-on experience with one or more digital marketing channels, including email marketing, demand generation landing pages and forms, search (organic and paid), content management systems (CMS), and web design. Strong understanding of the digital marketing technology landscape and multi-channel campaign execution. Ability to advise stakeholders on digital marketing best practices, including web and email optimization, to drive effective campaign outcomes. Strong interpersonal, communication, analytical, and problem-solving skills, with the ability to collaborate effectively across cross-functional teams. Experience collaborating with global stakeholders across regions and cross-functional teams. Knowledge of digital campaign processes, campaign assembly, deployment, and optimization across multiple digital channels. Experience with digital marketing platforms such as Sprinklr, Eloqua, and Scrivito CMS preferred. Self-motivated with a solid understanding of current digital marketing technologies, trends, and best practices. Proven ability to manage multiple priorities, balance competing deadlines, and deliver high-quality work in a fast-paced environment. Strong sense of ownership and accountability, with the ability to independently manage projects from initiation through completion. Exceptional analytical skills, attention to detail, and commitment to delivering high-quality results. Preferred Candidate Attributes: Experience collaborating with multiple global stakeholders across regions and functions. Strong interpersonal and communication skills, combined with excellent analytical and problem-solving abilities. A self-starter mindset with a solid understanding of current digital marketing technologies and best practices. A passion for learning, adopting new technologies, and applying innovative approaches across digital platforms. The ability to effectively prioritize multiple projects while performing well under tight deadlines and changing priorities. A proactive, highly motivated approach with a strong sense of ownership and accountability for project outcomes. Exceptional analytical skills with meticulous attention to detail and a commitment to delivering high-quality work. Passion for learning and adopting emerging technologies to continuously improve digital experiences and campaign performance. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/14/2026
Full time
Pay Range: $25.20hr - $27.63hr Job Overview: The Digital Campaign Specialist is responsible for supporting and executing multi-channel digital campaigns within an internal digital agency environment, with a focus on quality, timeliness, and optimizing the digital customer journey. This role ensures the timely and high-quality delivery of integrated digital campaigns across multiple drive-to channels, including search, digital and social advertising, email with clear and connected calls to action, and web implementation featuring optimized content, creative execution, and intuitive user flows that deliver best-in-class customer experiences while driving awareness, preference, and demand for the organization's brand and products. Reporting to the Head of Digital Campaign Management, this individual contributor role requires strong expertise in multi-channel campaign implementation, campaign assembly, coordination, and execution to successfully deliver client projects. The Digital Campaign Specialist plays a key role in enhancing customer experience and contributing to measurable business outcomes through high-quality digital campaign delivery. This position serves as the primary liaison between Key Account Managers, Business, Marketing and Communications, Digital Channel teams, and Social Media teams to ensure seamless collaboration, alignment, and successful campaign execution. Primary Duties and Responsibilities: Consults on and executes digital customer journeys across web and email channels, including campaign and event landing pages, email creation and automation, and organic keyword research, ensuring high-quality implementation and adherence to digital marketing best practices. Participates actively in campaign kick-off meeting, ensures complete understanding of campaign brief, intent, and details. Accountable for ensuring quality and searchability of content and coordination of artifact development, campaign coding, creation of landing and event pages (as appropriate), set up emails and flow, search ads, vanity URLs/redirects. Consults on content and creative execution for web, emails, search ads, of web within pre-designed templates and answers channel-specific questions and recommends data-driven solutions based on best practices. Coordinates campaign launch; creates and publishes channel content and creative, landing and event pages, emails, activates digital ads as appropriate (search); conducts A/B testing for email, search ads and landing pages as appropriate; manages and delivers collected leads from campaigns and events to region or country CRM teams. Ensures campaign flow, roll-out and publishing of deliverables are met; ensures end-to-end assembly and quality of campaign implementation. Engages subject matter experts (SMEs) as appropriate to bring campaign to production. Ensures quality of customer interactions and promotes a best-in-class customer journey. Prepares and distributes campaign instructions package to countries that are part of the campaign roll-out, collects any country feedback or additional requirements, coordinates additional needs back to BA or region. Keeps attention on campaign results to capture and further apply best practices. Consults on optimization opportunities. Experience / Skills / Qualifications: Bachelor's degree in Marketing, Information Science, Digital/Interactive Communications Design, or a related field required. 3+ years of experience in digital marketing, with demonstrated success supporting and executing digital campaigns. Experience implementing multi-channel digital campaigns, channel drive-to strategies, and/or web design initiatives. Hands-on experience with one or more digital marketing channels, including email marketing, demand generation landing pages and forms, search (organic and paid), content management systems (CMS), and web design. Strong understanding of the digital marketing technology landscape and multi-channel campaign execution. Ability to advise stakeholders on digital marketing best practices, including web and email optimization, to drive effective campaign outcomes. Strong interpersonal, communication, analytical, and problem-solving skills, with the ability to collaborate effectively across cross-functional teams. Experience collaborating with global stakeholders across regions and cross-functional teams. Knowledge of digital campaign processes, campaign assembly, deployment, and optimization across multiple digital channels. Experience with digital marketing platforms such as Sprinklr, Eloqua, and Scrivito CMS preferred. Self-motivated with a solid understanding of current digital marketing technologies, trends, and best practices. Proven ability to manage multiple priorities, balance competing deadlines, and deliver high-quality work in a fast-paced environment. Strong sense of ownership and accountability, with the ability to independently manage projects from initiation through completion. Exceptional analytical skills, attention to detail, and commitment to delivering high-quality results. Preferred Candidate Attributes: Experience collaborating with multiple global stakeholders across regions and functions. Strong interpersonal and communication skills, combined with excellent analytical and problem-solving abilities. A self-starter mindset with a solid understanding of current digital marketing technologies and best practices. A passion for learning, adopting new technologies, and applying innovative approaches across digital platforms. The ability to effectively prioritize multiple projects while performing well under tight deadlines and changing priorities. A proactive, highly motivated approach with a strong sense of ownership and accountability for project outcomes. Exceptional analytical skills with meticulous attention to detail and a commitment to delivering high-quality work. Passion for learning and adopting emerging technologies to continuously improve digital experiences and campaign performance. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Pay Range: $55.00hr - $60.00hr Job Overview: The candidate will serve as a Salesforce Product Owner and Business Analyst, shaping the Salesforce product roadmap and translating business needs into scalable solutions across Sales Cloud, Service Cloud, Experience Cloud, and Agentforce. Key Responsibilities: Product ownership and roadmap: Own and shape the Salesforce product roadmap, translating business objectives into prioritized epics, features, and measurable outcomes. Backlog management: Own, prioritize, groom, and refine the backlog based on business value, customer impact, risk, dependencies, and delivery capacity. Business analysis: Lead Client workshops and convert business needs into user stories, process flows, business rules, functional requirements, and acceptance criteria. Salesforce solutioning: Recommend scalable, configuration-first solutions across Sales Cloud, Service Cloud, Experience Cloud, and/or Agentforce. Stakeholder management: Act as the business-technology interface, resolve competing priorities, and communicate product decisions to senior stakeholders. Agile delivery: Drive refinement, sprint planning, story clarification, reviews, release planning, and product acceptance. Testing and acceptance: Coordinate SIT and UAT, defect prioritization, business acceptance, training, and production readiness. Architecture and integration: Partner with Salesforce Architects and engineering teams across integrations, APIs, authentication, data, security, and deployments. Release, adoption, and innovation: Support change readiness, adoption, and KPI tracking; lead POCs and evaluate Agentforce and AI-enabled CRM opportunities where relevant. Required Skills: 7+ years of Salesforce/CRM experience in Product Owner, Business Analyst, Functional Consultant, or comparable roles. Strong functional knowledge of Sales Cloud, Service Cloud, Experience Cloud, and/or Agentforce. Proven experience owning and prioritizing a Salesforce product roadmap and backlog. Strong Agile/Scrum capability across epics, features, user stories, acceptance criteria, refinement, sprint, and release planning. Solid knowledge of Salesforce administration, including profiles, roles, permission sets, sharing, OWD, Flows, objects, data, and reporting. Working knowledge of Salesforce integrations, APIs, authentication, security, data migration, DevOps, and deployment concepts. Experience leading Client, process mapping, solution workshops, UAT, and senior stakeholder discussions. Ability to challenge requirements, make prioritization trade-offs, and translate strategy into executable Salesforce capabilities. Excellent analytical, problem-solving, facilitation, storytelling, and stakeholder communication skills. Certifications Preferred: Salesforce Certified Administrator, Salesforce Certified Business Analyst; Sales Cloud and/or Service Cloud Consultant; Platform App Builder. Advantageous: CSPO/PSPO and relevant Salesforce AI or Agentforce certification. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/14/2026
Full time
Pay Range: $55.00hr - $60.00hr Job Overview: The candidate will serve as a Salesforce Product Owner and Business Analyst, shaping the Salesforce product roadmap and translating business needs into scalable solutions across Sales Cloud, Service Cloud, Experience Cloud, and Agentforce. Key Responsibilities: Product ownership and roadmap: Own and shape the Salesforce product roadmap, translating business objectives into prioritized epics, features, and measurable outcomes. Backlog management: Own, prioritize, groom, and refine the backlog based on business value, customer impact, risk, dependencies, and delivery capacity. Business analysis: Lead Client workshops and convert business needs into user stories, process flows, business rules, functional requirements, and acceptance criteria. Salesforce solutioning: Recommend scalable, configuration-first solutions across Sales Cloud, Service Cloud, Experience Cloud, and/or Agentforce. Stakeholder management: Act as the business-technology interface, resolve competing priorities, and communicate product decisions to senior stakeholders. Agile delivery: Drive refinement, sprint planning, story clarification, reviews, release planning, and product acceptance. Testing and acceptance: Coordinate SIT and UAT, defect prioritization, business acceptance, training, and production readiness. Architecture and integration: Partner with Salesforce Architects and engineering teams across integrations, APIs, authentication, data, security, and deployments. Release, adoption, and innovation: Support change readiness, adoption, and KPI tracking; lead POCs and evaluate Agentforce and AI-enabled CRM opportunities where relevant. Required Skills: 7+ years of Salesforce/CRM experience in Product Owner, Business Analyst, Functional Consultant, or comparable roles. Strong functional knowledge of Sales Cloud, Service Cloud, Experience Cloud, and/or Agentforce. Proven experience owning and prioritizing a Salesforce product roadmap and backlog. Strong Agile/Scrum capability across epics, features, user stories, acceptance criteria, refinement, sprint, and release planning. Solid knowledge of Salesforce administration, including profiles, roles, permission sets, sharing, OWD, Flows, objects, data, and reporting. Working knowledge of Salesforce integrations, APIs, authentication, security, data migration, DevOps, and deployment concepts. Experience leading Client, process mapping, solution workshops, UAT, and senior stakeholder discussions. Ability to challenge requirements, make prioritization trade-offs, and translate strategy into executable Salesforce capabilities. Excellent analytical, problem-solving, facilitation, storytelling, and stakeholder communication skills. Certifications Preferred: Salesforce Certified Administrator, Salesforce Certified Business Analyst; Sales Cloud and/or Service Cloud Consultant; Platform App Builder. Advantageous: CSPO/PSPO and relevant Salesforce AI or Agentforce certification. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Credit Acceptance Corporation
San Francisco, California
At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Credit Acceptance makes vehicle ownership possible for consumers other lenders decline, through a dealer network, an originations and servicing platform, and pricing and decisioning models refined over decades. The technology estate underneath this business was built project by project over a long period, and modernizing it is the largest engineering opportunity at the company. As the Distinguished Engineer, you are the senior-most individual contributor in Technology, reporting directly to the Chief Technology Officer. You will set the multi-year technical strategy for the company while staying close enough to the code and systems to remain credible - this is not an architect role that reviews designs from a distance, nor a strong engineer role that goes deep in a single domain. Two things sit at the center of the job: the target architecture for the enterprise, and the architecture for running AI agents across it. You will not own a team; you will own the hardest technical problems the company has, and get them resolved by convincing the people who do own the teams. Outcomes and Activities Enterprise target architecture: Convene the principal and staff engineers who own each domain to define the end-state architecture across originations, servicing, marketplace, data, and AI, and use it to drive the multi-year plan. Ensure every component has a defined interface with stated inputs and outputs, every unmade decision has a written principle standing in for it, and the document states honestly how close the organization is to the end state. Publish the architecture, including the tradeoffs that were rejected and why. Agentic AI architecture across the enterprise: Own the enterprise agent architecture spanning servicing and collections, the dealer side, originations, and internal engineering and back-office workflows, built on one common foundation rather than one stack per team. Establish a governed way for agents to discover and call business capabilities, data, and tools, using the Model Context Protocol as the integration layer. Define an identity and authorization model that treats an agent as a first-class actor with its own least-privilege entitlements, along with observability, evaluation, and cost controls that work consistently for every agent. Set policy on what an agent may decide independently versus what stays with a person, and define where that line moves and on what evidence. Design the architecture to produce an examiner-ready record of what each agent saw, recommended, and touched, and set the evaluation and adversarial testing approach that makes agent outcomes defensible. Ensure the same foundation and controls apply to agents built by outside firms on the company's behalf. Migration off on-premises infrastructure: Own the technical strategy for migrating transactional and analytical workloads off on-premises infrastructure to the company's strategic targets - AWS for transactional workloads and Databricks for analytical workloads - determining what lifts and shifts, what replatforms, what gets re-architected on the way versus after, and what the steady-state cost looks like. Own the resilience and recovery architecture for the target state. Data platform architecture: Set the architecture for change-data-capture-based ingestion, streaming where warranted, and a modern warehouse with no job-scheduling dependency, moving the organization from largely batch analytical data movement to real time. Help settle the open question of who owns the transactional and analytical data models. Real-time decisioning, model serving, and experimentation: Architect for pricing and credit model and scorecard updates that drop in as a layer rather than requiring a multi-quarter rebuild, and for an experimentation platform that supports orders of magnitude more concurrent experiments than a conventional release process allows. Marketplace and search architecture: Own the architecture and interfaces for a unified vehicle inventory, consumer search, and lead routing platform, ensuring the data model supports more than one class of seller from the start. AI-native engineering practice: Define the golden path for how software is specified, generated, reviewed, tested, and deployed, including the analyzers and gates that enforce it, and measure the inputs to that practice rather than just the outputs. Hold the build-versus-buy bar for AI capability, building what is core competency and about to scale, and renting the rest. Performance and peak readiness: Own the instrumentation, baseline, and remediation architecture needed to meet the standard that no page takes more than one second. Own peak-event headroom, including understanding the limits of each system and maintaining tested degradation levers ahead of need. Operating approach: Move the organization from project-shaped systems toward owned platforms with stated contracts. Document every component's inputs and outputs, and be ready to argue why closely coupled components should not be consolidated into one. Work toward a two-week requirement-to-production iteration bar, treating architecture that cannot be delivered incrementally as unfinished. Name what comes off the plan whenever a change in direction is requested. Make the call and own the outcome on architectural recommendations. Treat security, privacy, auditability, and regulatory obligation as design inputs from the start in this regulated environment. Hands-on, not hands-off: This is not optional. Stay personally engaged in the technical work rather than directing it from a distance. Join design reviews, write proofs of concept, read code, and engage in incident analysis. This hands-on time does not replace the work the teams own, and it is not a fallback when delivery slips. Every engineer in the organization will read how you write, how you argue a design, how you handle being wrong, and how you treat engineers who disagree with you as the bar. Staff and principal engineers should be measurably better at this work for having worked with you. Success measures: A published target architecture the domain owners agree with and that the annual and long-range plans are actually written against; an enterprise agent foundation that internal teams and partners build on, with access controls, evaluation, and audit records in place; a credible, dated, costed migration path off on-premises infrastructure and demonstrated progress against it; measured improvement in chosen input metrics such as latency, availability, recovery objectives, deployment frequency, and experiment throughput; growth in the number of principal and staff engineers who are better at this work as a result of this role; and architectural decisions that stop being relitigated because the reasoning was written down and the interfaces were clear. Competencies Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience Minimum 10 years of software engineering experience or comparable depth of experience A track record of setting and delivering multi-year technical strategy at enterprise scale, as an individual contributor rather than through a reporting line. Depth in distributed systems architecture, and in at least two of: agentic or LLM-based systems in production; large-scale cloud migration of transactional systems; modern data platform and lakehouse architecture; machine learning platform and model serving; high-traffic consumer or marketplace applications. Architecture ownership of agentic or LLM-based systems that reached production, including how tool and data access were governed, how the system was evaluated . click apply for full job details
11/14/2026
Full time
At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Credit Acceptance makes vehicle ownership possible for consumers other lenders decline, through a dealer network, an originations and servicing platform, and pricing and decisioning models refined over decades. The technology estate underneath this business was built project by project over a long period, and modernizing it is the largest engineering opportunity at the company. As the Distinguished Engineer, you are the senior-most individual contributor in Technology, reporting directly to the Chief Technology Officer. You will set the multi-year technical strategy for the company while staying close enough to the code and systems to remain credible - this is not an architect role that reviews designs from a distance, nor a strong engineer role that goes deep in a single domain. Two things sit at the center of the job: the target architecture for the enterprise, and the architecture for running AI agents across it. You will not own a team; you will own the hardest technical problems the company has, and get them resolved by convincing the people who do own the teams. Outcomes and Activities Enterprise target architecture: Convene the principal and staff engineers who own each domain to define the end-state architecture across originations, servicing, marketplace, data, and AI, and use it to drive the multi-year plan. Ensure every component has a defined interface with stated inputs and outputs, every unmade decision has a written principle standing in for it, and the document states honestly how close the organization is to the end state. Publish the architecture, including the tradeoffs that were rejected and why. Agentic AI architecture across the enterprise: Own the enterprise agent architecture spanning servicing and collections, the dealer side, originations, and internal engineering and back-office workflows, built on one common foundation rather than one stack per team. Establish a governed way for agents to discover and call business capabilities, data, and tools, using the Model Context Protocol as the integration layer. Define an identity and authorization model that treats an agent as a first-class actor with its own least-privilege entitlements, along with observability, evaluation, and cost controls that work consistently for every agent. Set policy on what an agent may decide independently versus what stays with a person, and define where that line moves and on what evidence. Design the architecture to produce an examiner-ready record of what each agent saw, recommended, and touched, and set the evaluation and adversarial testing approach that makes agent outcomes defensible. Ensure the same foundation and controls apply to agents built by outside firms on the company's behalf. Migration off on-premises infrastructure: Own the technical strategy for migrating transactional and analytical workloads off on-premises infrastructure to the company's strategic targets - AWS for transactional workloads and Databricks for analytical workloads - determining what lifts and shifts, what replatforms, what gets re-architected on the way versus after, and what the steady-state cost looks like. Own the resilience and recovery architecture for the target state. Data platform architecture: Set the architecture for change-data-capture-based ingestion, streaming where warranted, and a modern warehouse with no job-scheduling dependency, moving the organization from largely batch analytical data movement to real time. Help settle the open question of who owns the transactional and analytical data models. Real-time decisioning, model serving, and experimentation: Architect for pricing and credit model and scorecard updates that drop in as a layer rather than requiring a multi-quarter rebuild, and for an experimentation platform that supports orders of magnitude more concurrent experiments than a conventional release process allows. Marketplace and search architecture: Own the architecture and interfaces for a unified vehicle inventory, consumer search, and lead routing platform, ensuring the data model supports more than one class of seller from the start. AI-native engineering practice: Define the golden path for how software is specified, generated, reviewed, tested, and deployed, including the analyzers and gates that enforce it, and measure the inputs to that practice rather than just the outputs. Hold the build-versus-buy bar for AI capability, building what is core competency and about to scale, and renting the rest. Performance and peak readiness: Own the instrumentation, baseline, and remediation architecture needed to meet the standard that no page takes more than one second. Own peak-event headroom, including understanding the limits of each system and maintaining tested degradation levers ahead of need. Operating approach: Move the organization from project-shaped systems toward owned platforms with stated contracts. Document every component's inputs and outputs, and be ready to argue why closely coupled components should not be consolidated into one. Work toward a two-week requirement-to-production iteration bar, treating architecture that cannot be delivered incrementally as unfinished. Name what comes off the plan whenever a change in direction is requested. Make the call and own the outcome on architectural recommendations. Treat security, privacy, auditability, and regulatory obligation as design inputs from the start in this regulated environment. Hands-on, not hands-off: This is not optional. Stay personally engaged in the technical work rather than directing it from a distance. Join design reviews, write proofs of concept, read code, and engage in incident analysis. This hands-on time does not replace the work the teams own, and it is not a fallback when delivery slips. Every engineer in the organization will read how you write, how you argue a design, how you handle being wrong, and how you treat engineers who disagree with you as the bar. Staff and principal engineers should be measurably better at this work for having worked with you. Success measures: A published target architecture the domain owners agree with and that the annual and long-range plans are actually written against; an enterprise agent foundation that internal teams and partners build on, with access controls, evaluation, and audit records in place; a credible, dated, costed migration path off on-premises infrastructure and demonstrated progress against it; measured improvement in chosen input metrics such as latency, availability, recovery objectives, deployment frequency, and experiment throughput; growth in the number of principal and staff engineers who are better at this work as a result of this role; and architectural decisions that stop being relitigated because the reasoning was written down and the interfaces were clear. Competencies Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience Minimum 10 years of software engineering experience or comparable depth of experience A track record of setting and delivering multi-year technical strategy at enterprise scale, as an individual contributor rather than through a reporting line. Depth in distributed systems architecture, and in at least two of: agentic or LLM-based systems in production; large-scale cloud migration of transactional systems; modern data platform and lakehouse architecture; machine learning platform and model serving; high-traffic consumer or marketplace applications. Architecture ownership of agentic or LLM-based systems that reached production, including how tool and data access were governed, how the system was evaluated . click apply for full job details
Pay Range: $55.00hr - $60.00hr Job Overview: Our client is seeking a highly skilled Java Full Stack Developer with expertise in building scalable web applications using React JS on the front end and Java on the back end. The ideal candidate will have strong experience with Java Full Stack, ADF, Kafka, RabbitMQ, PostgreSQL, and React JS. The candidate should be willing to work in both support and development ecosystems involving production support shifts and weekend support. Key Responsibilities: Troubleshoot production incidents, perform root cause analysis, and execute resolution steps as part of incident management. Build a comprehensive KEDB for recurring and unique incidents and guide the offshore team to build competency on incident management. Work on minor enhancement development stories and maintain full-stack applications using Java and React JS. Write clean, maintainable, and efficient code following best practices. Work in an Agile environment and contribute to sprint planning and retrospectives. Skill Requirements: Backend: Strong proficiency in Java, Spring Boot, and RESTful APIs. Frontend: Expertise in React JS. Messaging: Experience with Apache Kafka and RabbitMQ for distributed messaging. Database & Frameworks: Experience with ADF and PostgreSQL. Version Control: Git/GitHub or similar tools. Build Tools: Maven/Gradle. Testing: Knowledge of Cucumber for BDD, as well as familiarity with integration testing and load testing tools (e.g., JMeter, Gatling). DevOps & Infrastructure: Experience with containerization (Docker/Kubernetes) and understanding of CI/CD pipelines. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/14/2026
Full time
Pay Range: $55.00hr - $60.00hr Job Overview: Our client is seeking a highly skilled Java Full Stack Developer with expertise in building scalable web applications using React JS on the front end and Java on the back end. The ideal candidate will have strong experience with Java Full Stack, ADF, Kafka, RabbitMQ, PostgreSQL, and React JS. The candidate should be willing to work in both support and development ecosystems involving production support shifts and weekend support. Key Responsibilities: Troubleshoot production incidents, perform root cause analysis, and execute resolution steps as part of incident management. Build a comprehensive KEDB for recurring and unique incidents and guide the offshore team to build competency on incident management. Work on minor enhancement development stories and maintain full-stack applications using Java and React JS. Write clean, maintainable, and efficient code following best practices. Work in an Agile environment and contribute to sprint planning and retrospectives. Skill Requirements: Backend: Strong proficiency in Java, Spring Boot, and RESTful APIs. Frontend: Expertise in React JS. Messaging: Experience with Apache Kafka and RabbitMQ for distributed messaging. Database & Frameworks: Experience with ADF and PostgreSQL. Version Control: Git/GitHub or similar tools. Build Tools: Maven/Gradle. Testing: Knowledge of Cucumber for BDD, as well as familiarity with integration testing and load testing tools (e.g., JMeter, Gatling). DevOps & Infrastructure: Experience with containerization (Docker/Kubernetes) and understanding of CI/CD pipelines. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
