Requirements

4+ years of professional experience in software engineering with Python or Java as primary language
Proficient on Linux platforms and strong understanding of Git
Deep knowledge of one or more relevant database technologies such as Iceberg, PostgreSQL, or MongoDB
Willingness and ability to work effectively with AI-assisted development tools as part of daily workflow
Strong problem-solving skills and attention to detail
Strong communication and collaboration abilities
Ability to work independently and gather requirements from stakeholders

Nice to Haves

Strong academic record with a degree featuring high mathematical and computing content (e.g., Computer Science, Mathematics, Engineering, or Physics)
Familiarity with distributed systems and orchestration
Experience with performance optimization and large-scale data processing
Contributions to open-source projects
Experience with market data
Expertise in streaming or real-time data processing

Build and ship features on a high-throughput platform processing billions of market data points and thousands of files daily
Tackle complex distributed systems problems at exceptional scale
Work closely with quant researchers and traders to transform complex requirements into elegant platform solutions
Drive platform reliability through rigorous incident response, root-cause analysis, and systemic fixes
Raise the engineering bar through thoughtful code review and mentoring of junior team members

Inclusive and supportive work environment championing equality of opportunity
Opportunities for professional development and talent growth
Flexible working arrangements
Two annual paid 'Mankind' days dedicated to community volunteering
Competitive holiday entitlements
Pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave, and long-service leave
Additional benefits depending on location such as private medical coverage, discounted gym membership, and pet insurance