Software Development Snr Manager

15 - 18 years

50 - 60 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

As a

Senior Engineering Manager (M3)

, you ll lead a talented team of

Machine Learning Engineers and Software Engineers

developing the intelligent systems that power next-generation cloud reliability. You ll combine technical depth with leadership excellence guiding architecture, execution, and delivery of large-scale AI systems that make a real impact.
If you re passionate about building products at the intersection of

AI, DevOps, and cloud-scale engineering

, this is where you ll define what s next.

What You ll Do

Lead with Vision

  • Build and scale a high-performing team delivering

    AI-driven cloud operations systems

    .
  • Shape and execute on the

    technical roadmap

    and ensure timely, high-quality delivery of features and releases.
  • Partner with product leaders, architects, and applied scientists

Drive Technical Excellence

  • Provide hands-on guidance on system architecture, ML model deployment, and MLOps best practices.
  • Ensure engineering rigor through high-quality design, code reviews, and performance benchmarking.
  • Foster innovation: translate research ideas into robust, production-grade systems.

Build and Grow Teams

  • Recruit, mentor, and retain top engineering talent across

    machine learning and software development

    .
  • Cultivate a collaborative culture that values experimentation, accountability, and delivery
  • Coach senior engineers to develop leadership, ownership, and architectural judgment.

Deliver at Scale

  • Oversee design and implementation of

    AI driven workflows

    for mission-critical cloud operations.
  • Partner with other OCI teams to ensure reliability, observability, and scalability in real-world environments.
  • Measure and communicate business impact from operational efficiency to automation-driven innovation.

What are we looking for

Key Qualifications

  • 15+ years of experience

    in software engineering, including

    5+ years leading technical teams

    delivering large-scale systems or ML products.
  • Proven ability to lead

    cross-functional teams

    of ML and software engineers.
  • Deep understanding of

    machine learning engineering

    ,

    generative AI

    , or

    autonomous agent architectures

    .
  • Strong technical foundation in

    programming

    , distributed systems, and

    cloud-native microservices

    .
  • Experience with

    DevOps practices

    , including CI/CD, model monitoring, and lifecycle management. Experience with MLOps is a plus.
  • Excellent communication and executive presence, with the ability to align diverse stakeholders and drive complex projects to completion.
  • Proven ability to collaborate across teams and organizations.
  • Bachelor s or Master s degree in Computer Science, Machine Learning, or related technical field.

Preferred Qualifications

  • Background in

    cloud operations or infrastructure monitoring

    , especially applying AI to improve reliability and automation. Experience building enterprise-scale AI products on

    OCI, AWS, Azure, or GCP

    .
  • Demonstrated thought leadership through

    open-source contributions, publications, or patents

    .
  • Hands-on experience deploying

    LLM-based systems

    ,

    RAG pipelines

    , or

    AI copilots

    in production.
  • Knowledge of

    reinforcement learning

    ,

    multi-agent frameworks

    , or

    reasoning systems

    is a plus.
Career Level - M3
As a manager of the software engineering division, you will apply your knowledge of software architecture to manage software development tasks associated with developing, debugging or designing software applications, operating systems and databases according to provided design specifications. Build enhancements within an existing software architecture and suggest improvements to the architecture.

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