Lead Software Engineer (DevOps)

We are seeking a Lead Software Engineer with strong platform engineering and DevOps experience to join our Trading Platform Engineering team within Investment Implementation & Trading (IIT) Technology. In this role, you will lead the design, development, automation, and operation of mission-critical trading systems. You will combine hands-on software engineering with cloud infrastructure, CI/CD, and production reliability to improve how we build, deploy, and operate software at scale. This role requires a strong technical leader who can quickly understand complex systems, drive execution, mentor engineers, and partner effectively across technology and business teams., * Lead the design and development of scalable, resilient platform solutions supporting Wellington's trading operations

• Set technical direction across architecture, CI/CD, cloud infrastructure, observability, and operational practices
• Drive hands-on engineering across the software lifecycle, including development, testing, code reviews, release management, and production support
• Build and evolve AWS-based infrastructure and automation using Infrastructure as Code (Terraform/CloudFormation)
• Improve platform reliability through monitoring, alerting, incident response, root-cause analysis, and continuous improvement practices
• Partner with developers, QA, architecture, security, and business stakeholders to deliver scalable, secure, and performant solutions
• Champion modern engineering practices, including AI-assisted development, automation, and developer productivity improvements
• Mentor engineers and help raise the bar on engineering quality, operational excellence, and system design

1. Strong software engineering foundation (Java-based) - must come from a development background, not pure infrastructure/network DevOps
2. DevOps + Platform Engineering mindset - operates at the intersection of software engineering, automation, and infrastructure
3. Heavy Python scripting expertise - core requirement for automation, CI/CD, and emerging AI/agentic workflows
4. Hands-on CI/CD ownership - building and automating pipelines that support scalable delivery across many applications
5. Cloud experience (AWS preferred) - experience building and operating cloud-based platforms (flex on provider, but cloud is required)
6. Infrastructure as Code (IaC) - hands-on with tools like CloudFormation (Terraform acceptable)
7. Observability & monitoring exposure - familiarity with tools like Elasticsearch, Grafana, OpenTelemetry (critical for platform maturity and migration)
8. SQL / data layer understanding - ability to work across application and platform layers
9. Application modernization experience - involvement in restructuring/refactoring Java-based applications
10. Hands-on technical leader (70/30 split) - leads ~5 engineers (onshore/offshore) while remaining deeply hands-on
11. Hands-on experience with AI-assisted development tools - practical use of tools like GitHub Copilot, Claude Code, or similar to improve engineering efficiency and automation
12. Boston based 4 days a week onsite, * Bachelor's degree in Computer Science, Engineering, or a related field

• 10+ years of experience designing, developing, and supporting enterprise technology platforms, including significant exposure to DevOps, SRE, or platform engineering practices
• Strong hands-on programming experience in Java; experience with Python or other scripting languages for automation and tooling preferred
• Experience building and supporting transactional, messaging-based, and event-driven applications at scale
• Deep experience with AWS services and cloud-native architectures, including compute, networking, IAM, logging, and monitoring
• Strong experience with CI/CD tooling and source control workflows (e.g., Jenkins, GitHub Actions, Git, Bitbucket)
• Experience with Infrastructure as Code and infrastructure automation using Terraform, CloudFormation, or similar technologies
• Strong understanding of software architecture, distributed systems, design patterns, and data modeling principles
• Experience with frameworks such as Spring and messaging technologies such as Kafka or ActiveMQ
• Strong operational experience with monitoring, alerting, incident response, root-cause analysis, and production reliability practices
• Experience with observability platforms such as Grafana, Elasticsearch, Prometheus, or OpenTelemetry
• Experience with relational databases such as PostgreSQL or MySQL
• Familiarity with AI-assisted/agentic development tools (e.g., GitHub Copilot, Claude Code, or similar) and modern engineering workflows

Preferred Experience These qualifications are beneficial but not required:

• Experience with containerization and orchestration technologies such as Docker, ECS, EKS, or Kubernetes
• Experience with microservices and event-driven architectures
• Exposure to front-end technologies such as React
• Knowledge of financial markets and instruments, including Fixed Income, Equities, FX, and Derivatives

Ideal Candidate The ideal candidate is a hands-on technical leader who combines strong software engineering fundamentals with modern DevOps and platform engineering practices. They are comfortable operating in complex, business-critical environments and can quickly deliver practical solutions while improving long-term platform reliability, scalability, and engineering efficiency.

What We Value

• Strong problem-solving, analytical, and communication skills
• Ownership mindset and attention to detail
• Ability to lead and collaborate in a fast-paced, team-oriented environment
• Strategic thinking balanced with pragmatic execution
• Intellectual curiosity and commitment to continuous improvement
• Ability to work effectively with colleagues across varying technical backgrounds and disciplines