Senior Data Platform DevOps Engineer

Salary: $61,000 - 101,000 per year Requirements: We require formal training or certification in software engineering concepts, along with 5+ years of practical experience in DevOps, cloud support, or platform engineering. We need hands-on experience with AWS ECS and end-to-end support of cloud-based applications. We expect strong knowledge of DevOps and CI/CD practices, including tooling such as Jenkins and Spinnaker. We value strong problem-solving ability and the capacity to work independently while coordinating with globally distributed partners. We need the ability to communicate technical concepts and solutions clearly to operational stakeholders. We require familiarity with Agile and Scrum delivery methods. We need a working understanding of SQL and Kafka dependencies in modern service architectures. Preferred experience includes partnering with teams building Java/SpringBoot microservices and React micro frontends. Preferred knowledge of banking operations, data, and data-driven product delivery. Preferred ability to support AI-informed user experiences and understand agentic frameworks, including Python or Java experience. Responsibilities: We design, build, and run secure, stable, and scalable cloud environments that support mission-critical applications and delivery outcomes for Java/SpringBoot microservices and React micro frontends. We own the AWS ECS application platform support model and partner with engineering teams to keep environments available, performant, and deployment-ready. We implement and continuously enhance CI/CD pipelines to streamline build, test, and deployment workflows. We administer and support CI/CD tooling such as Jenkins and Spinnaker and establish consistent deployment practices across teams. We collaborate with engineering, product, design, and operations to ensure smooth integration and release using DevOps practices. We identify reliability and performance bottlenecks and drive optimization for speed and scalability across services and user interfaces. We support data-in-motion and data-access dependencies such as Kafka and SQL in partnership with application teams. We contribute to Agile delivery by working within Scrum teams and aligning infrastructure and DevOps work to sprint goals. We mentor engineers through standards, reusable pipeline patterns, and hands-on guidance to strengthen DevOps maturity. We promote engineering best practices and continuous improvement by contributing to communities of practice and adopting emerging technologies. We foster an inclusive, respectful team culture while collaborating across global stakeholders. Technologies: AI AWS CI/CD Cloud DevOps Support Java Jenkins Kafka Python React SQL microservices Machine Learning Web More: We are collaborating with J.P. Morgan to hire for this Senior Associate Data Platform DevOps Engineer role within the Enterprise Data Solutions team. The position is fully onsite, five days per week, and focuses on keeping modern cloud data platforms reliable so engineers can deliver features with confidence. The role offers hands-on ownership of a cloud container platform on AWS, close collaboration across cross-functional teams, and the opportunity to help shape secure environments, pipelines, and deployment standards for fast, safe releases. We also offer a competitive total rewards package and a broad range of benefits and programs, including health care coverage, wellness support, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching, subject to eligibility. Our Consumer & Community Banking and CCB Data & Analytics teams work together to power Chase with insights, technology, and data-driven capabilities that create strong customer and business outcomes. last updated 38 week of 2026