Principal Full Stack Software Engineer, Investments Technology (Public Markets)

Liberty Mutual

Boston (MA)

Hybrid

USD 130,000 - 160,000

Full time

14 days+

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Job summary

Liberty Mutual is seeking a Principal Full Stack Software Engineer to lead the development of real-time trading platforms. The role requires 8+ years of software engineering experience in an agile environment and expertise in Python and cloud-native AWS architectures. Candidates will collaborate closely with various teams to create scalable, low-latency systems. The position offers a hybrid work arrangement, allowing for 2-3 days a week in the Boston office, and emphasizes leadership and mentorship within the engineering team.

Qualifications

  • 8+ years of software engineering experience in an agile environment.
  • Experience building real-time trading, execution, or market data systems for institutional investors preferred.
  • Deep understanding of distributed systems and low‑latency architectures.

Responsibilities

  • Provide hands-on technical leadership designing trading and market data platforms.
  • Collaborate with stakeholders to co-create solution designs.
  • Design clean, evolvable architectures for trading workflows.

Skills

Python
Cloud-native architectures on AWS
REST and event-driven APIs
AI-assisted tools in SDLC
Excellent communication skills

Education

Bachelor’s or Master's degree in Computer Science or Engineering

Tools

Snowflake

Job description

Principal Full Stack Software Engineer, Investments Technology (Public Markets)
Description

Liberty Mutual Investments manages Liberty Mutual Insurance Group’s global financial assets across public and private domains, to create capital and generate income. With over $100 billion in AUM and staffed with 300+ investment, finance and operations professionals located in Boston, MA., Liberty Mutual Investments offers the best of both worlds; the look and feel of a boutique investment firm, and the reputation and financial strength of a Fortune 100 company.

Note: This role has a hybrid work arrangement (2 -3 days per week in our Boston office).

Responsibilities
  • Provide hands‑on technical leadership designing and building real‑time, high‑throughput trading and market data platforms for Global Liquid Markets.
  • Partner closely with Product Owners, business stakeholders, and Solution Engineers to co‑create solution designs that balance speed, resilience, security, and enterprise quality.
  • Serve as the technical authority on the squad, guiding architecture decisions, setting engineering standards, and ensuring alignment with Public Markets and enterprise technology strategy.
  • Design clean, evolvable architectures for low‑latency, event‑driven, and API‑first systems supporting institutional trading workflows.
  • Embed modern software engineering practices including CI/CD, automated testing, observability, and responsible use of AI across the SDLC to improve developer productivity and system quality.
  • Lead design reviews, produce clear architectural artifacts, and articulate technical trade‑offs to both technical and non‑technical audiences.
  • Collaborate across squads and enterprise architecture to deliver integrated solutions while avoiding local optimization.
  • Mentor and develop engineers through code reviews, pairing, and coaching, setting a high bar for engineering excellence.
Qualifications
  • Experience:
    • 8+ years of software engineering experience in an agile environment
    • Prior experience building real‑time trading, execution, order management, or market data systems for institutional investors strongly preferred.
    • Deep understanding of distributed systems, low‑latency architectures, and resilient, fault‑tolerant design.
    • Proven experience working in fast‑paced, regulated financial services environments.
  • Skills:
    • Strong proficiency in Python and modern backend development; experience with cloud‑native architectures on AWS (e.g., Lambda, Fargate, Step Functions).
    • Experience designing and consuming REST and event‑driven APIs; familiarity with data platforms such as Snowflake and ingestion pipelines.
    • Practical experience applying AI‑assisted tools in the SDLC (e.g., code generation, test creation, observability, or productivity tooling).
    • Excellent communication, facilitation, and influence skills.
  • Knowledge:
    • Deep knowledge of software architecture patterns, security and privacy controls, and enterprise engineering practices.
    • Strong grasp of agile delivery, backlog management, and incremental value delivery.
  • Education: A Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
  • Highly desirable: CFA or progress towards CFA.
Equal Opportunity Employer

Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.

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