Principal Software Engineer Platform Engineering Accelerator Business

Description

Out of the successful launch of Chase in 2021 were a new team with a new mission. Were creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. Were people-first. We value collaboration curiosity and commitment.

As a Principal Software Engineer at JPMorgan Chase within the Accelerator Business in the Platform Team you are the heart of this venture focused on getting smart ideas into the hands of our customers. You have a curious mindset thrive in collaborative squads and are passionate about new technology. By your nature you are also solution-oriented commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects and depending on your strengths and interests youll have the opportunity to move between them.

While were looking for professional skills culture is just as important to us. We understand that everyones unique and that diversity of thought experience and background is what makes a good team great. By bringing people with different points of view together we can represent everyone and truly reflect the communities we serve. This way theres scope for you to make a huge difference on us as a company and on our clients and business partners around the world.

Job responsibilities

• Work with senior stakeholders to define and drive the multi-year technical roadmap and long-term architectural strategy for platform engineering ensuring competitive advantage and scalability.

• Mentor and coach senior engineers across teams elevating the technical bar and championing Software Engineering Communities of Practice.

• Serve as the key technical liaison for product business and security stakeholders translating technical decisions into business impact.

• Lead the design and delivery of composable secure and scalable infrastructure systems and capabilities.

• Own the operational stability of production systems (You Build It You Run It) automating recurring issues and establishing DORA/SLIs/SLOs metrics for continuous improvement.

• Drive architectural standards and best practices across the organisation leading technical evaluations with internal and external partners.

• Champion FinOps principles to drive significant cloud cost optimisation and guide performance tuning of distributed systems.

• Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed code quality and operational outcomes at scale (e.g. AI-driven PR review assistance test generation/maintenance release readiness checks incident triage and root-cause acceleration) while defining guardrails for validation security resiliency and reuse across teams.

• Applies knowledge of tools within the Software Development Life Cycle toolchain including enterprise-authorized AI-assisted development and automation capabilities to improve the value realized by automation at scale.

Required qualifications capabilities and skills

• Formal training or certification (e.g. BSc CKAD Google Associate Cloud Engineer or AWS Certified Solutions Architect).

• Expert-level administration of a major cloud platform (GCP AWS or Azure).

• Mastery of Kubernetes administration and operator patterns.

• Strong cloud networking expertise across the OSI networking model.

• Strong proficiency in Infrastructure as Code (IaC) methodologies.

• Proven hands-on experience in system design development testing and operational stability.

• Advanced proficiency in modern language(s) (e.g. Go Java Kotlin).

• Demonstrated technical leadership and cross-team collaboration.

• Hands-on Security Engineering experience.

• Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams including setting standards for human-in-the-loop validation auditability/traceability of changes and secure handling of sensitive data.
• Strong understanding of responsible AI use and control expectations in engineering workflows including security/resiliency implications data sensitivity and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.

Preferred qualifications capabilities and skills

• Advanced knowledge ofCI/CD application resiliency and secure delivery (e.g. SLSA framework and GitOps).

• Deep experience with Observability and Monitoring tools (e.g. Prometheus Grafana OTEL).

• Expertise in performance optimisation of distributed systems (e.g. caching network latency).

• Practical experience with Service Mesh technologies (e.g. Istio Linkerd Cillium).

• Demonstrated success in Mentorship and Coaching both senior and junior engineers.

• Proven ability in Technical Roadmapping and defining long-term platform strategy.

• Stakeholder management and communication skills.

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Required Experience:

Staff IC

Employment Type : Full-Time
Experience: years
Vacancy: 1