Software Engineering & Development, Off(AI)
State Street is hiring a Software Engineering & Development, Off(AI). Level rates it ; you can apply on State Street.
Level's read on this job
- Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
- Tools and skills the posting cites include Copilot, Terraform and AWS.
- Level classifies it as a mid-level role.
- Level lists 1,200+ other open roles at State Street.
- The role was posted in the last few days.
AI in this role
Build and run CI/CD pipelines, AWS infrastructure, and use AI coding assistants to speed up development.
Role purpose
You'll build and run the CI/CD pipelines which build state of the art application platforms and deploy AWS infrastructure for a multi-year programme moving a large portfolio of middle-office applications to AWS. This is a hands-on engineering role: most of your day is spent writing pipeline code, Terraform and scripts, and fixing builds and deployments. You'll work closely with full-stack application teams (ReactJS and Java), database engineers and SRE.
Key responsibilities
Build tooling
- Set up and maintain front-end builds with npm and pnpm, vite, babel etc including workspaces/monorepos, dependency caching, lockfile management and private registries.
- Set up and maintain Java builds with Maven and Gradle, including multi-module projects, dependency management and build performance.
- Publish and version artifacts through Artifactory (or similar), and keep builds reproducible.
CI/CD pipelines
- Design and build pipelines in Harness and GitHub Actions for build, test, security scanning and deployment across all environments.
- Create reusable pipeline templates so application teams can onboard quickly and consistently.
- Add quality and security gates: unit tests, code coverage, SAST/SCA scanning, container image scanning and approval steps.
- Support blue/green and canary deployments, automated rollback and release tracking that meets State Street change management requirements.
Infrastructure as code and AWS
- Write and maintain Terraform modules for AWS: VPC, IAM, EC2, ECS/EKS, ALB, S3, RDS and related services.
- Manage Terraform state, module versioning and policy checks; detect and fix configuration drift.
- Build and run container platforms (Docker, ECS/EKS) for application workloads.
- Integrate secrets management (HashiCorp Vault/CyberArk) into pipelines and runtime environments.
Linux
- Build, harden and automate Linux servers and container images for applications moving off Solaris and Windows.
- Write Shell and Python scripts for automation, troubleshooting and operational tasks.
- Support migration of batch jobs and file transfers to the target platform (e.g. AutoSys, MFX/SFTP).
Reliability and collaboration
- Work with SRE to add logging, metrics and alerting (e.g. Dynatrace, Splunk) to pipelines and environments.
- Troubleshoot build, deployment and environment issues for application teams.
- Document runbooks and standards, and use AI assistants (e.g. GitHub Copilot) to speed up pipeline, Terraform and script development, with review.
Required experience and skills
- 5+ years in DevOps, build or platform engineering roles.
- Front-end builds: practical experience with npm and pnpm for React/TypeScript projects.
- Java builds: strong experience with Maven and Gradle.
- Terraform: writing production modules and managing state for AWS.
- AWS: hands-on experience with core compute, networking, IAM, containers and managed services.
- CI/CD: building pipelines in Harness and/or GitHub Actions; Jenkins experience is a plus.
- Linux: strong administration, hardening and scripting (Bash, Python).
- Docker and Kubernetes/ECS/EKS.
- Git, branching strategies and pull-request workflows.
Preferred
- Experience in a regulated financial services environment.
- Experience with secrets management (Vault, CyberArk) and security scanning tools (e.g. SonarQube, Black Duck, Checkmarx).
- Experience with database change pipelines (Liquibase/Flyway).
- AWS certification (DevOps Engineer or SysOps Administrator) and/or HashiCorp Terraform certification.
Success measures (first 12 months)
- Reusable pipeline templates adopted by all modernization and migration teams.
- All target environments provisioned through Terraform, with no manual infrastructure changes.
- Faster, more reliable builds and deployments, measured against a baseline.
- No audit findings related to pipeline controls or secrets handling.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
How we rate this
Software Engineering & Development, Off(AI) at State Street rates 40 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where ci/cd was part of your work. What did you do?
- Tell me about a project where infrastructure as code was part of your work. What did you do?
- Tell me about a project where linux was part of your work. What did you do?
- Tell me about a project where devops was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: CI/CD, Infrastructure As Code, Linux, DevOps, and Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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