Senior Software Engineer

Microsoft • Java • Python • SQL • JavaScript • 1 month ago
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Salary
≈ $17k – $45k per year (Estimated)
Location
In office (Noida)
Seniority
Senior · 5+ years exp
Overview
Company
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Profile match

Microsoft

Microsoft is an American multinational technology corporation founded in 1975 by Bill Gates and Paul Allen and headquartered in Redmond, Washington. It built the personal computing era around the Windows operating system and the Office productivity suite, and now generates the largest share of its revenue from Azure cloud infrastructure and commercial subscriptions. The company also owns GitHub, LinkedIn and the Xbox gaming business, and has invested heavily in artificial intelligence through its partnership with OpenAI and the Copilot assistants embedded across its products.
microsoft.com • HQ: Redmond, United States • Science & Engineering • Quantum Computing Hardware • Quantum Science & Computing • Gaming • Cloud Computing • Software • Code Intelligence • Gaming Consoles • Consumer Electronics • Data & Analytics • Artificial Intelligence • Information Technology • Productivity Software • 5000+ employees • Est. 1975

Requirements:

  • 5+ years of professional software engineering experience with strong Java and Python proficiency.
  • Production experience with AWS services, not just deployed a Lambda once, but real operational ownership.
  • Demonstrated experience building AI/ML-powered products: LLM integrations, document understanding, NLP pipelines, or equivalent.
  • Daily, habitual use of AI tools in your engineering workflow; we want to see that you've genuinely integrated AI into how you write, debug, review, and ship code
  • Strong API design sensibility (REST, event-driven) and database design skills (SQL, schema modelling).
  • Ownership mindset: you don't wait for tickets to be perfectly spec'd; you clarify, decide, build, and ship.
  • Clear written and verbal communication: you can explain a technical tradeoff to a PM or a product constraint to an engineer.

Nice-to-Have:

  • Experience in insurance, fintech, or regulated B2B SaaS domains.
  • Hands-on exposure to workflow orchestration frameworks (Temporal, Airflow, Step Functions).
  • Familiarity with LLM observability and evaluation tooling (Langfuse, LangSmith, Braintrust).
  • Experience with document processing at scale: OCR, PDF extraction, ACORD forms.
  • Contributions to open-source projects or technical writing that demonstrate depth of thinking.
  • Experience setting up CI/CD pipelines, infrastructure automation, and DevOps practices.
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