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Senior Staff Software Engineer

Senior Staff Software Engineer

Bengaluru, Karnataka
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Function Technology Team Product Engineering Role Type Permanent Work Location Hybrid Date Posted 04/14/2026

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

About the Role

We are looking for a Senior Staff Software Engineer to join the Veeam Data Cloud (VDC) engineering team at its highest individual contributor tier. In this role, you will shape the long-term technical direction of VDC, operating with organization-wide scope and influence. You will define architectural standards, resolve the most complex and ambiguous engineering challenges, and mentor a generation of Staff and senior engineers.

This is a rare opportunity to be a founding technical voice on greenfield projects — designing next-generation data protection services that will be deployed and relied upon worldwide. You will be a trusted partner to engineering leadership, product management, and cross-functional stakeholders, bridging technical excellence with business strategy.

What You’ll Do

  • Technical Strategy & Architecture

    • Own and drive the multi-year technical roadmap for the Veeam Data Cloud platform, aligning engineering decisions with company strategy.
    • Define, communicate, and enforce architectural standards, design patterns, and engineering principles across multiple teams and product areas.
    • Lead architectural reviews for major systems, proactively identifying structural risks and establishing long-term scalability and resilience frameworks.
    • Author foundational technical design documents (RFCs, ADRs) that serve as the engineering blueprint for the broader organization.

    Engineering Execution & Excellence

    • Personally contribute to the most critical, highest-complexity engineering challenges across the organization — including those that span team boundaries.
    • Design and develop highly reliable, planet-scale SaaS microservices integrated with managed cloud services (Azure, AWS, GCP) using Golang and modern cloud-native patterns.
    • Establish and champion engineering quality standards: testing philosophy, observability, performance benchmarks, security posture, and release reliability.
    • Drive the adoption of emerging engineering practices — including AI-powered developer tooling, automated code generation, and LLM-assisted testing and debugging.

    Organizational Leadership & Influence

    • Serve as the primary technical escalation point across engineering — resolving the most ambiguous, cross-cutting problems that no individual team can own alone.
    • Partner with engineering managers and directors to set execution standards, unblock delivery, and ensure timely, predictable outcomes across multiple teams.
    • Represent engineering in cross-functional leadership forums (product, security, infrastructure, finance) and act as a decision-maker on technical trade-offs with business impact.
    • Drive the organization-wide engineering culture: nurturing psychological safety, technical curiosity, and a bias toward measurable outcomes.

    Mentorship & Talent Development

    • Provide deep technical mentorship to Staff, Senior, and mid-level engineers, accelerating their growth and expanding team capability.
    • Lead structured technical coaching, design review sessions, and architectural war-games to sharpen engineering judgment across the organization.
    • Identify, recruit, and help retain top engineering talent; actively shape the interview process and hiring bar for senior roles.

    Operational Ownership

    • Participate in on-call rotation and lead incident response for critical production events, driving root cause analysis and systematic resolution.
    • Own post-incident reviews and embed learnings into platform improvements and operational runbooks.

What You’ll Bring

  • 15+ years of progressive software engineering experience, with a proven track record as a principal-level individual contributor.
  • Demonstrated expertise designing, building, and operating SaaS or large-scale cloud services on Azure, AWS, or GCP at organization-defining scale.
  • Deep expertise in Go (Golang) and/or other systems-grade modern languages (C#, Java, Rust, Scala); polyglot mindset with language-agnostic design thinking.
  • Mastery of distributed systems: event-driven architecture, eventual consistency, high-availability design, and fault-tolerant microservices.
  • Expert-level command of container orchestration (Kubernetes, Docker) and cloud-native infrastructure patterns.
  • Exceptional communication and leadership skills — able to drive clarity and alignment across engineering, product, and executive audiences.
  • Strong computer science fundamentals: data structures, algorithms, concurrency, and systems design.
  • A track record of delivering greenfield projects from zero to production at scale, with full ownership of quality, security, and reliability.

Bonus Skills

  • Experience leveraging AI capabilities (LLMs, generative AI, co-pilot tooling) in product development workflows — either as a feature builder or as a force-multiplier for engineering productivity. 
  • Hands-on experience building AI-powered features into SaaS products: integrating model APIs, designing prompt pipelines, or building AI-assisted developer experiences.
  • Background in data protection, backup, disaster recovery, or storage infrastructure.
  • Experience in platform or infrastructure engineering serving other engineering teams as internal customers.

What You’ll Get

  • 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
  • Private medical coverage for you and up to four dependents
  • Life, accident, and disability insurance with enhanced coverage
  • Annual flexible wellbeing allowance for physical and mental wellness
  • Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
  • Meal, fuel, and transportation benefits based on work arrangement
  • Daycare reimbursement and safe cab facility for eligible employees
  • Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application. 

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Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.  

The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes. 

By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.

By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.

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