Staff Engineer - Product and Platform Engineering

Altimetrik • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • C# • 8 days ago
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Salary
≈ $24k – $50k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Sep 4, 2026. Altimetrik scores D on the Alion truth index.

Overview
Company
Impact
Profile match

Altimetrik

Altimetrik is a digital and AI engineering services company headquartered in Southfield, Michigan, that builds software, data, cloud and AI systems for large enterprises in banking, insurance, automotive, healthcare, retail and technology. Founded in 2012 by Raj Vattikuti, the founder of Covansys, it employs between 5,000 and 10,000 people, with major delivery centers in Chennai, Bengaluru, Pune and Hyderabad and further offices in Krakow, Mexico City, Montevideo, Singapore, Canada and the US. It hires data, AI and generative AI engineers, Java, .NET and full stack developers, DevSecOps, cybersecurity and Salesforce engineers, architects and engineering managers.
altimetrik.com • HQ: Southfield, United States • AI Consulting & Integration • IT Outsourcing & Dedicated Teams • Custom Software Development • IT Consulting & Digital Transformation • 51-200 employees • Est. 2012
Tech stack of Altimetrik

Experience bar:

  • Min. 8 years in software engineering, with at least 3 years in a leadership or management role
  • Proven delivery track record; experience managing and mentoring engineering teams

Technical areas to assess:

  • .NET / C# proficiency
  • FDD and Kanban methodology depth
  • Serverless AWS cloud platforms
  • SDLC tooling - Jira, Bitbucket, Confluence
  • DORA / SPACE metrics - experience using these to drive team productivity
  • CI/CD pipeline ownership and implementation

Leadership areas to assess:

  • People management - 1:1s, performance reviews, coaching
  • Translating business strategy into engineering priorities
  • Stakeholder communication, including to non-technical audiences
  • Data-driven decision-making on delivery metrics
  • Quality assurance culture - coding standards, testing protocols, continuous improvement
  • Change management - introducing new tools, processes, or methodologies to a team

Key behaviors to probe:

  • How do they handle underperformance while maintaining team morale?
  • How do they balance technical debt against feature delivery under pressure?
  • How do they keep engineers engaged and growing in a legacy environment?
  • Can they drive innovation within constrained or complex systems?
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