Senior Manager Software Engineering

Cohesity

Pune District

On-site

INR 4,000,000 - 5,600,000

Full time

14 days+
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Job summary

Cohesity is seeking an Engineering Manager for our R&D team in Pune, India. Lead world-class engineers to design and build massively parallel distributed systems that help enterprises manage data.

You’ll drive end-to-end product delivery, mentor leaders, and collaborate with cross-functional teams to execute the roadmap and deliver high-impact outcomes.

Qualifications

  • BS/MS/Ph.D. in Computer Science or a related technical field.
  • 10+ years hands-on software engineering experience.
  • 5+ years leading high-performance development teams.
  • Knowledge of agile/scrum methodologies.
  • Experience building highly scalable distributed systems.
  • Hands-on coding and design skills.
  • Domain expertise in Distributed systems, Platform, Storage, Data Management, Data pipelines/ETL, Virtualization, Kubernetes, AI SDLC.

Responsibilities

  • Inspire, lead and manage a team of software engineers delivering on-prem and SaaS products.
  • Own end-to-end product delivery from requirements to build, test and deploy.
  • Drive innovation and high-quality software development.
  • Mentor and grow leaders within the team.
  • Collaborate with product, program management, sales, QA and support to realize the product roadmap.
  • Understand market dynamics to steer product direction and execution.

Skills

Hands-on coding design
Distributed systems
Team leadership
Agile methodologies
System architecture

Education

BS/MS/Ph.D. in Computer Science or related

Tools

Kubernetes

Job description

Job Summary

As an Engineering Manager for our RD, you would lead teams that work on a wide range of interesting and difficult problems and design and build massively parallel and distributed systems and architecture.

We are looking for experienced and innovative leaders who are up for the challenge of leading, innovating, mentoring, and driving for outcomes. We look for exceptional minds who love to go deep and do whatever it takes to solve big problems and step up to big challenges.

Responsibilities
  • As an engineering leader, you will inspire, lead and manage a team of world-class software engineers transforming how enterprise customers manage their data.
  • This role requires an energetic, creative, and driven individual with excellent communication, organization, and technical skills to partner with various organizations.
  • In this role, you will be responsible for driving some of our most strategic technical projects, delivering large-scale systems, designing new software systems at the cutting edge of distributed systems technologies, and having a significant impact on the success of Cohesity.
How you'll spend your time here
  • Inspire, motivate, lead and manage a team of world-class developers that design and develop innovative products for our on-prem as well as SaaS offerings.
  • Own the product end to end, from working on product requirements with internal stakeholders to build, test and deploy.
  • Drive thought leadership and innovation and accelerate high-quality software development.
  • Mentor, lead and grow leaders in the team.
  • Set clear goals and lead collaborative achievements.
  • Work closely with various stakeholders within Cohesity like product management, program management, sales, QA, and support teams to deliver high-quality products and drive the product vision and roadmap.
  • Understand market dynamics to drive product direction and execution for the team.
We'd love to talk if you have any of the following
  • BS/MS/Ph.D. in Computer Science or a relevant technical field
  • 10+ years of hands-on software engineering experience in planning, architecting, and delivering high-quality products.
  • 5+ years of building, managing or leading high-performance development teams.
  • Knowledge of agile/scrum methodologies.
  • Previous experience building highly scalable distributed systems
  • Hands-on in Coding Design skills
  • Must have: Domain expertise in relevant areas such as Distributed systems, Platform, Storage, Data Management products, Data pipelines/ETL, Virtualization, Kubernetes, AI SDLC

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