Sr. Python Engineer

Job Description

Insight Global seeks a Senior Python Engineer to design, build, and maintain a real-time automated portfolio rebalancing solution. You’ll work across the full development lifecycle and collaborate with cross‑functional teams to deliver scalable, reliable software.

• Integrate trading systems for multi‑broker order management and execution
• Develop secure, scalable ETL pipelines for financial data
• Build microservices architecture with Kubernetes
• Design and implement clean, consistent APIs
• Mentor junior developers and support team growth
• Drive best practices in Dev Sec Ops , CI/CD, and continuous improvement

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, colour, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• Bachelor’s in Computer Science or related field (or equivalent experience)
• 7+ years in software development on collaborative teams
• Production‑level Python expertise
• Strong knowledge of distributed and event‑driven architectures
• Deep AWS experience (Lambda, ECS, S3, Dynamo
  
  DB, SQS, API Gateway, IAM)
• Infrastructure as Code (AWS CDK or similar)
• ETL pipeline development for batch/real‑time data processing
• Monitoring and observability tools (Datadog, Cloud Watch, Prometheus)
• Django and Boto library experience
• Strong data processing experience
• Experience with other programming languages like Java or Go
• Financial / fintech domain experience (manager has strong preference to domain experience, but is open to talking to strong candidates without it)
• Exposure to portfolio analytics and benchmarking tools