Software Engineer

Wellington ManagementBoston, MA
$80,000 - $150,000Hybrid

About The Position

At Wellington Management, technology underpins how we invest and operate in global markets. Our Trading Technology team builds and supports the platform that enables investment and trading decisions to be executed reliably and at scale. You'll work on a platform that's proven and mission-critical, the kind of environment where thoughtful engineering has immediate, visible impact. We are seeking a Software Engineer with a DevOps focus to join our Trading Platform Engineering team within Investment Implementation & Trading (IIT) Technology. In this position, you will help build, automate, and operate our trading platform. This role combines software engineering with cloud infrastructure, CI/CD, and production reliability. You’ll work closely with technology team members and business partners to deliver resilient systems and continuously improve how we build and run software.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • 2+ years of experience in software engineering, DevOps, or related roles
  • Proficiency in at least one programming language (Python preferred)
  • Experience with cloud platforms (AWS preferred) and cloud-native concepts (compute, networking, IAM, logging/monitoring)
  • Proficiency with CI/CD tools (e.g., Jenkins, GitHub Actions) and source control (Git)
  • Exposure to infrastructure automation and Infrastructure as Code (e.g., Terraform, CloudFormation)
  • Understanding of monitoring, logging, and production support practices
  • Experience with tools such as Jenkins, Elasticsearch, and Grafana (or comparable CI/observability tooling)
  • Hands-on experience in SQL or other relational database technologies is desirable
  • Experience in Cloud Ops and infrastructure automation (e.g., automated provisioning, configuration, and operational runbooks)
  • Working knowledge of reliability practices such as monitoring/alerting, incident response, and root-cause analysis in a production environment

Nice To Haves

  • Experience with containerization (Docker, ECS) and microservices architectures
  • Familiarity with observability tools (e.g., Grafana, Elasticsearch)
  • Exposure to Site Reliability Engineering (SRE) principles
  • AI-assisted development tools (e.g., GitHub Copilot, Claude Code or similar)

Responsibilities

  • Build and support components of Wellington’s trading platform in partnership with trading and technology teams, leveraging AI-assisted development tools to enhance productivity and code quality
  • Design and maintain CI/CD pipelines to enable reliable and efficient software delivery, incorporating AI-assisted automation and validation
  • Develop infrastructure and automation in AWS using Infrastructure as Code, utilizing AI-assisted tooling to accelerate provisioning and configuration
  • Improve system reliability through monitoring, alerting, and operational best practices, applying AI-driven insights for observability and anomaly detection
  • Troubleshoot production issues, perform root-cause analysis, and contribute to continuous improvement, leveraging AI-assisted diagnostics and incident analysis
  • Partner with developers, QA, and architecture teams to ensure scalable, secure, and performant solutions, using AI tools to enhance collaboration and solution design
  • Contribute to engineering standards, including code quality, testing, and release practices, incorporating AI-assisted code reviews and test generation

Benefits

  • retirement plan
  • health and wellbeing
  • dental
  • vision
  • pharmacy coverage
  • health savings account
  • flexible spending accounts
  • commuter program
  • employee assistance program
  • life and disability insurance
  • adoption assistance
  • back-up childcare
  • tuition/CFA reimbursement
  • paid time off (leave of absence, paid holidays, volunteer, sick and vacation time)
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