Lead Software Engineer - DevOps and Platform engineering focused - Boston - RTH Job Boston area,Massachusetts USA,Software Development

Please contact Renu Goel

Local to Boston only. No relocation candidates.

Job Overview

We are seeking a Lead Software Engineer with strong platform engineering and Dev Ops 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 s 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 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/Cloud Formation)
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

Keys to the Position

Strong software engineering foundation (Java‑based) – must come from a development background, not pure infrastructure/network Dev Ops

Dev Ops + Platform Engineering mindset – operates at the intersection of software engineering, automation, and infrastructure

Heavy Python scripting expertise – core requirement for automation, CI/CD, and emerging AI/agentic workflows

Hands‑on CI/CD ownership – building and automating pipelines that support scalable delivery across many applications

Cloud experience (AWS preferred) – experience building and operating cloud‑based platforms (flex on provider, but cloud is required)

Infrastructure as Code (IaC) – hands‑on with tools like Cloud Formation (Terraform acceptable)

Observability & monitoring exposure – familiarity with tools like Elasticsearch, Grafana, Open Telemetry (critical for platform maturity and migration)

SQL / data layer understanding – ability to work across application and platform layers

Application modernization experience – involvement in restructuring/refactoring Java‑based applications

Hands‑on technical leader (70/30 split) – leads ~5 engineers (onshore/offshore) while remaining deeply hands‑on

Hands‑on experience with AI‑assisted development tools – practical use of tools like Git Hub Copilot, Claude Code, or similar to improve engineering efficiency and automation

Boston based 4 days a week onsite

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 Dev Ops, 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, Git Hub Actions, Git, Bitbucket)
Experience with Infrastructure as Code and infrastructure automation using Terraform, Cloud Formation, or similar technologies
Strong understanding of software architecture, distributed systems, design patterns, and data modeling principles
Experience with frameworks such as Spring and messaging…