Software Engineer III - SRE + DevOps + Python

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III - SRE + DevOps + Python at JPMorgan Chase within the Commercial & Investment Bank - Prime Financial Services (PFS) Technology group, we are looking for people who are passionate about using technology to solve business problems and leverage software engineering best practices as we strive towards excellence. This role often works independently to execute small to medium projects, but you will also have the opportunity to collaborate with cross-functional teams to continually improve your level of knowledge about JPMorgan Chase's business and relevant technologies.

Job Responsibilities

• Monitor, maintain, and optimize the availability, performance, and reliability of critical production systems supporting Prime Financial Services applications, ensuring adherence to defined SLAs and SLOs through proactive incident management and automated remediation strategies.
• Design, develop, and implement automation solutions using Python, Shell scripting, and Infrastructure as Code (IaC) practices to streamline deployment processes, reduce manual intervention, and improve operational efficiency across development and production environments.
• Build, maintain, and enhance continuous integration and continuous delivery pipelines using Jenkins, GitLab, and other DevOps tools to enable rapid, reliable, and repeatable software deployments while ensuring code quality and security standards are met.
• Implement comprehensive monitoring and alerting frameworks using tools such as Grafana, Dynatrace, Prometheus, and Splunk to provide real-time visibility into system health, establish service level objectives (SLOs), and enable data-driven decision-making for performance optimization.
• Deploy, manage, and troubleshoot containerized applications using Docker and Kubernetes on public cloud platforms (AWS/Azure), ensuring scalability, security, and cost-effectiveness while adhering to cloud best practices and governance policies.
• Work effectively within a globally distributed team environment, actively participating in agile ceremonies, knowledge-sharing sessions, and technical reviews to drive continuous improvement initiatives, mentor junior team members, and contribute to the evolution of engineering standards and best practices.

• Formal training or certification on software engineering concepts and 3+ years of applied experience
• Hands-on experience in SRE principles and DevOps tools
• Proficiency in at least one programming language such as Python, Go, Shell, etc.
• Familiarity with observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Splunk, and others
• Familiarity with containers or a common server OS such as Linux and Windows
• Emerging knowledge of software, applications, and technical processes within a given technical discipline (e.g., Cloud, artificial intelligence, etc.)
• Emerging knowledge of continuous integration and continuous delivery tools like Jenkins, GitLab, etc.
• Intermediate hands-on expertise in at least one relational database (e.g., SQL Server, Oracle, Postgres) and scheduling tools like Control-M, Autosys, etc.
• Ability to work in a large, collaborative team distributed globally; demonstrates the willingness to vocalize ideas with peers and managers
• Eagerness to participate in learning opportunities to enhance one's effectiveness in executing day-to-day project activities

• Familiarity with containers/Kubernetes
• Good understanding of Incident/Problem management and Incident Triage along with MTTD/MTTR
• Experience with CI/CD tools such as Jenkins and deployment automation tools
• Experience with version control software (GitHub/Bitbucket)
• Experience working with public cloud and infrastructure such as AWS/Azure, etc.