Principal Software Engineer, Environments Engineering

Salary: $61,000 - 101,000 per year Requirements:

• 15+ years of professional software engineering experience, including significant work building internal developer platforms, environment-as-a-service systems, or large-scale infrastructure orchestration used by thousands of engineers.
• Experience designing composable or virtual environment architectures, including service graph decomposition, selective instantiation, dependency stubbing or virtualization, and traffic isolation without relying on full environment clones.
• Deep expertise in environment-isolated traffic routing, including header-based routing, service mesh controls such as Istio or Linkerd, service discovery, and prevention of cross-environment contamination at high concurrency.
• Production experience operating Kubernetes on-premises and in the cloud, including EKS, with strong knowledge of namespace isolation, resource scheduling, multi-tenancy, and hybrid infrastructure tradeoffs.
• Proficiency in Go, Rust, or Java for production platform services, plus infrastructure-as-code experience with tools such as Terraform or Ansible.
• Proven ability to automate provisioning and management of stateful test infrastructure across heterogeneous data stores, including Oracle, PostgreSQL, MongoDB, CockroachDB, Kafka, and DynamoDB.
• Experience designing and extending CI/CD pipelines, integrating environment lifecycles with Jenkins, Spinnaker, GitHub Actions, or Argo CD.
• Strong platform-as-a-product approach, including API and contract design, composability, multi-tenancy, scheduling, cost modeling, and success measurement through adoption and developer experience metrics.
• Demonstrated success driving platform adoption across large engineering organizations through advocacy, enablement, self-service experiences, and partnership with engineering leadership.
• Experience designing and leading adoption of agentic AI-enabled development practices using enterprise-authorized tools, including standards for human review, auditability, change traceability, and sensitive-data protection.
• Understanding of responsible AI use and controls in engineering workflows, including security, resilience, data sensitivity, and risk-based governance.
• Preferred: Experience with namespace-per-PR or lightweight isolation, GitOps environment-as-code, scalable test data, developer portal integration, AI/ML for infrastructure optimization, enterprise open-source evaluation, hybrid connectivity, or regulated financial-services operations.

• Set the technical strategy and deliver a composable virtual environment platform that provides isolated, per-pull-request test sessions by reusing unchanged services and instantiating only components under test, with correct service dependency resolution.
• Design traffic routing and isolation so requests reach the right service versions within each session without cross-session contamination.
• Build dependency graph intelligence to determine which services should be instantiated, reused, or virtualized for each test scenario at scale.
• Deliver self-service provisioning through CLI, APIs, and developer portal integration, enabling teams to declare needs, launch environments, run integration tests, and exit without relying on shared environments or manual coordination.
• Define and implement environment data strategies, including synthetic data, masked production data, snapshot and restore workflows, schema versioning, and repeatable datasets across varied data stores.
• Manage environment lifecycles, costs, and resource reclamation through time-to-live policies, idle detection, automatic teardown, quotas, chargeback attribution, and FinOps reporting.
• Integrate environment creation, testing, result reporting, and teardown as native CI/CD pipeline stages across Jenkins, Spinnaker, GitHub Actions, and Argo CD.
• Ensure consistent, reliable platform operation across hybrid infrastructure, including on-premises and EKS Kubernetes, virtual machines, and managed cloud services.
• Establish reliability SLOs, observability, and operational runbooks, tracking environment provisioning time, success rates, isolation correctness, and developer satisfaction.
• Govern agentic AI-enabled engineering workflows using authorized enterprise tools to improve delivery speed, code quality, and operational outcomes; establish guardrails for validation, security, resilience, and reuse.
• Apply knowledge of SDLC tooling and authorized AI-assisted development and automation capabilities to increase the value of automation at scale.
• Build the MVP hands-on, then harden the platform, promote adoption across multiple organizations, and partner with delivery leadership, performance engineering, SRE, and quality engineering.

• Agentic AI
• AI
• API
• Ansible
• CI/CD
• Cloud
• CockroachDB
• GitHub
• GitOps
• Istio
• Support
• Java
• Jenkins
• Kafka
• Kubernetes
• MongoDB
• Oracle
• PostgreSQL
• Rust
• Security
• Terraform
• Architect
• Cassandra
• DevOps
• Flow
• Network
• UX UI Design
• VPN

More:

We are JPMorganChase, a longstanding financial institution serving consumers, small businesses, and major corporate, institutional, and government clients. Our businesses span investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management. This Principal Engineer role sits within our Commercial and Investment Bank Digital Channels and Connectivity team and focuses on reducing environment bottlenecks for an organization of 10,000 engineers. The work supports a large hybrid estate of cloud and on-premises services. We offer competitive total rewards, with compensation based on role, experience, skills, and location; eligible employees may also receive commission or discretionary incentives. Benefits vary by eligibility and include health coverage, wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching. Employment is subject to the stated Federal Deposit Insurance Act Section 19 review of criminal conviction history.

last updated 42 week of 2026