Lead Software Engineer-DevOps

Title: Lead Software Engineer-DevOps

Location: Boston, MA ( Onsite 4 days/week)

Duration: 12+ months

Java, Python, DevOps, Platform Engineering, AWS, CI/CD (Jenkins/GitHub Actions), Infrastructure as Code (Terraform/CloudFormation), Spring, Kafka/ActiveMQ, Observability (Grafana, Elasticsearch, OpenTelemetry, Prometheus), SQL (PostgreSQL/MySQL), AI-assisted development (GitHub Copilot/Claude Code), Distributed Systems, Application Modernization, Docker/Kubernetes (preferred), and Technical Leadership (10+ years).

KEYS TO THE POSITION

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

JOB OVERVIEW

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.

Responsibilities

• • 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

Qualifications

• • 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