Lead Platform Engineer - DevOps, AWS & Kubernetes

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

• Formal training or certification in software engineering concepts, with at least 5 years of applied experience
• Proven leadership experience mentoring engineers, leading technical initiatives, and driving architectural decisions across teams
• Expert knowledge of containerization and orchestration technologies such as Docker and Kubernetes, plus scripting and automation proficiency in Python or a similar language such as Bash or Groovy
• Deep hands-on experience with Terraform and infrastructure-as-code practices for complex, multi-environment infrastructure
• Strong expertise in GraphQL architecture and schema design, RESTful API principles, and API standards
• Expert proficiency with version control workflows such as Git or Bitbucket, and distributed-systems monitoring tools such as Splunk, Datadog, Dynatrace, or CloudWatch
• Deep understanding of OAuth 2.0, secure authentication and authorization patterns, and platform-engineering security practices
• Extensive experience with AWS architecture and services, including high-availability and disaster-recovery patterns
• Exceptional technical documentation skills, including architecture decision records, runbooks, and system diagrams
• Experience leading effective use of approved AI-assisted software development tools, and setting expectations for validating their outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and security and resiliency expectations; experience coaching engineers on safe, compliant adoption
• Preferred: Advanced knowledge of AWS services such as EKS, ECS Fargate, IAM, VPC design, CloudWatch, X-Ray, ElastiCache-Redis, RDS Aurora PostgreSQL, MSK, and KMS
• Preferred: Proficiency in multiple programming languages, such as Java, Rust, or Go, with the ability to review code and provide technical guidance
• Preferred: Track record designing comprehensive observability solutions and automating complex CI/CD workflows using Jenkins, Spinnaker, or similar platforms
• Preferred: Experience with open-source projects or technical communities related to GraphQL, platform engineering, or cloud-native architectures
• Preferred: Experience with AIOps, including deploying monitoring and automation agents to improve observability, reduce alert noise, and increase alert precision

• Lead the design, development, and ongoing evolution of a highly scalable, reliable GraphQL platform serving multiple teams and business units
• Use containerization and orchestration technologies such as Docker and Kubernetes to manage large-scale workloads
• Establish and promote platform-wide observability, monitoring, and alerting standards, and develop proactive ways to detect and resolve issues before users are affected
• Lead automation strategies for CI/CD pipelines and infrastructure-as-code practices, creating reusable patterns and frameworks that speed delivery across engineering teams
• Design self-service developer experiences, including APIs, tooling, documentation, and integration patterns, so teams can adopt platform services independently
• Contribute to open-source projects or technical communities related to GraphQL, platform engineering, and AWS services
• Automate tasks with Python and use Terraform and infrastructure-as-code practices to manage complex, multi-environment infrastructure
• Architect GraphQL solutions, schema designs, and RESTful APIs, and establish API standards
• Use Git or Bitbucket workflows and distributed-systems monitoring tools such as Splunk, Datadog, Dynatrace, or CloudWatch
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes; establish validation standards such as secure coding, peer review, and automated testing, and promote reuse of effective patterns
• Apply software development lifecycle toolchain capabilities, including approved AI-assisted development and automation tools, to improve the value of automation
• Mentor engineers, lead technical initiatives, and guide architectural decisions across teams

• AI
• API
• AWS
• Architect
• Bash
• BitBucket
• CI/CD
• Cloud
• CloudWatch
• Datadog
• Docker
• Dynatrace
• Git
• GraphQL
• Groovy
• IAM
• Support
• Java
• Jenkins
• Kubernetes
• OAuth
• PostgreSQL
• Python
• Redis
• Rust
• Security
• Splunk
• Terraform
• DevOps

More:

We are hiring a Lead Software Engineer for our Consumer & Community Banking Platform Engineering team, where you will contribute to an agile team building and improving secure, stable, scalable technology products. We are a financial services firm serving households, small businesses, nonprofits, and cities, with a mission to build lasting customer relationships. Our Consumer & Community Banking division provides services including personal banking, credit cards, mortgages, auto financing, investment advice, small-business loans, and payment processing. We offer competitive total rewards, with compensation based on role, experience, skills, and location; eligible employees may also receive incentives. Benefits vary by eligibility and include health care, wellness resources, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching. We are an equal opportunity employer, value diversity and inclusion, and provide reasonable accommodations.

last updated 42 week of 2026