Lead DevOps Engineer- AWSKubernetes

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorgan Chase within the Consumer and community banking technology team youare an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

• Executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

• Develops secure high-quality production code and reviews and debugs code written by others

  Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality delivery speed and productivity across complex deliverables (e.g. code generation/refactoring unit test creation documentation) while validating outputs through peer review automated testing and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.

  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.

• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

• Leads evaluation sessions with external vendors startups and internal teams to drive outcomes-oriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture

• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

• Adds to team culture of diversity opportunity inclusion and respect

• Leadsthe design development and evolution of a highly scalable reliable GraphQL platform with exceptional performance and high availability across multiple teams and services.

• Establishes and championsobservability monitoring and alerting standards across the platform designing proactive solutions to detect and resolve issues before they impact users.

• Leads the developmentof automation strategies for CI/CD pipelines and infrastructure-as-code practices creating reusable patterns and frameworks that accelerate delivery across engineering teams.

• Designs and overseesintuitive self-service developer experiences including APIs tooling documentation and integration patterns that enable teams to adopt platform services independently.

Required qualifications capabilities and skills

• 6 yearsof professional software engineering experience with3 yearsfocused on building and scaling platform solutions or infrastructure.

• Proven leadership experiencein mentoring engineers leading technical initiatives and driving architectural decisions across teams.

• Expert in containerization and orchestration technologies such as Docker and Kuberneteswith hands-on experience managing large-scale workloads on Kubernetes.

• Expert-level proficiencyin scripting and automation using Bash Groovy Python or similar languages.

• Deep hands-on experiencewith Terraform and infrastructure-as-code practices for managing complex multi-environment infrastructure.

• Strong expertisein GraphQL architecture schema design and RESTful API principles with experience designing and implementing API standards.

• Extensive experiencedesigning and implementing CI/CD pipelines build automation and deployment strategies.

• Expert-level proficiencywith version control workflows (Git/Bitbucket) and distributed systems monitoring using tools such as Splunk DataDog Dynatrace or CloudWatch.

• Deep understandingof OAuth 2.0 secure authentication/authorization patterns and security best practices in platform engineering.

• Exceptional documentation skills including creating comprehensive technical documentation architecture decision records (ADRs) runbooks and system diagrams.

  Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g. for coding test creation troubleshooting or documentation) with demonstrated ability to critically evaluate validate and refine AI-generated outputs for correctness performance and security.

  Understanding of responsible AI use in engineering workflows including data sensitivity considerations secure handling of inputs/outputs and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Preferred qualifications capabilities and skills

• Production experiencearchitecting building and scaling GraphQL platforms serving multiple teams or business units.

• Extensive experiencewith AWS cloud architecture and services including architectural patterns for high availability and disaster recovery.

• Advanced knowledgeof AWS services including EKS ECS Fargate IAM VPC design CloudWatch X-Ray ElastiCache-Redis RDS Aurora Postgres MSK and KMS.

• Proficiencyin at least one modern programming language (Java Rust Go or similar) with ability to review code and provide technical guidance.

• Proven track recorddesigning and implementing comprehensive observability solutions (metrics logging tracing alerting) and automating complex CI/CD workflows using Jenkins Spinnaker or similar platforms.

• Contributionsto open-source projects or technical communities related to GraphQL platform engineering or cloud-native architectures.