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Engineering Manager

Engineering Manager

Skillous Consulting LLPBangalore
8 days ago
Job description

Description : About the Role :

We are looking for a dynamic Engineering Manager to lead and scale high-performing engineering teams. This role goes beyond delivery management youll define the engineering vision, drive architecture decisions, and empower teams to build AI-driven, cloud-native applications at scale.

Youll also engage directly with enterprise clients, translate business needs into technical solutions, and ensure excellence in execution.

Key Responsibilities :

  • Lead, mentor, and grow multiple engineering teams developing both technical and leadership talent.
  • Partner with enterprise clients to manage technical discussions, translate business needs, and ensure successful project delivery.
  • Define and implement engineering strategy, best practices, and coding standards across teams.
  • Drive architecture decisions for scalable, secure, and future-ready systems.
  • Collaborate with product managers, designers, and data scientists to align technical delivery with business goals.
  • Oversee system scalability, performance, and reliability for AI / ML-powered applications.
  • Manage hiring, resource planning, performance reviews, and career development for engineers.
  • Foster a culture of innovation, ownership, and continuous learning.
  • Track engineering KPIs (velocity, quality, uptime, impact) to drive continuous improvement.
  • Collaborate with leadership on budgets, capacity planning, and long-term technology scaling.

Qualifications & Experience :

Must-Haves :

  • Bachelors / Masters degree in Computer Science or related field.
  • 10- 15 years of experience in software engineering, with at least 3+ years in an engineering management role.
  • Strong foundation in full-stack development, backend systems, and cloud-native architectures.
  • Hands-on experience with AWS, Azure, or GCP for building and deploying scalable solutions.
  • Proven track record of leading agile engineering teams and driving predictable delivery.
  • Expertise in distributed systems, microservices architecture, and system design.
  • Excellent communication, stakeholder management, and leadership skills.
  • Demonstrated ability to hire, scale, and mentor high-performing engineering teams.

    • Nice-to-Haves :

  • Familiarity with AI / ML, model deployment, and AI-driven applications.
  • Experience in a startup or high-growth tech environment.
  • Working knowledge of DevOps, CI / CD pipelines, Docker, and Kubernetes.

    • Why Join :

  • Build scalable, AI-powered products used by global enterprises.
  • Collaborate with talented engineers, designers, and data scientists.
  • Work in a high-impact, innovation-driven culture where technology meets business transformation.
  • Competitive compensation and growth opportunities.

    • (ref : hirist.tech)

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    Engineering Manager • Bangalore