Staff Software Engineer - DevOps

10 - 15 years

12 - 16 Lacs

Posted:1 hour ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Summary

Staff Software Engineer - DevOps, will be responsible for providing build and release strategy for highly complex as well as parallel and concurrent releases for a Software Product. Manages Continuous Code Integration within SDLC. Works independently and is seen as a Technical Leader. The role demonstrates deep understanding of concurrent software development, its effect on build management and releasing the builds across versions and environments

Roles and Responsibilities

In this role, you will:
Own builds, releases and continuous integration process for large and complex releases of a product and at times expands the scope across multiple concurrent releases.Own, manage and improve release process. Focuses on scale and efficiency. Deploys the right builds across environments.Manage key deliverables and mentors junior team members.Contribute in driving initiatives such as defining standards and processes to ensure quality.Work cross functionally with other business departments to align activities and deliverables.Develop and enhance the test infrastructure and continuous integration framework used across teams.Determine best practices and principals and promotes them across the team.Demonstrate expert knowledge in developing and executing automated builds and scripts.Learn new build and releases techniques and methodologies and trains the team in the same.Work with developers and stakeholders to deliver quality software through the build and deployment system.Partner with and provides direction to fellow team members to diagnose bugs and formulate solutions.Use industry best practices to improve Build, Release and Continuous integration processes.

Education Qualification

For roles outside USA: Bachelor's Degree in with advanced experience.

For roles in USA: Bachelor's Degree

Minimum years of experience: 10 years

Desired Characteristics

Technical Expertise:

  • Bachelor's degree in computer science or in STEM Majors (Science, Technology, Engineering and Math), with a minimum of 10 years of professional experience
  • Strong Knowledge and mastery of tools such as Docker, Kubernetes, Helm.
  • Proven experience in the deployment and management of infrastructure.
  • Strong knowledge of cloud services such as AWS, Azure, code and version management tools such as Git.
  • Strong knowledge of continuous integration and continuous deployment tools (e.g. Jenkins, ArgoCD, GitHub Actions).
  • Should have knowledge on Ansible, Terraform.
  • Experience with Agile software development, project management methodologies
  • Experience with Kafka, PostgreSQL, Security mechanisms.
  • Experience with Linux and Windows, good knowledge
  • Having knowledge in Prometheus, Grafana, Istio service mesh
  • Knowledge of transferring the artifacts to different environments.
  • Should be a quick learner with good communication skills.

Business Acumen:
Strong problem solving abilities and capable of articulating specific technical topics or assignmentsExperience in building scalable and highly available distributed systemsSkilled in breaking down problems and estimate time for development tasksEvangelizes how our technology solves customer problems from a technology and business perspectiveLeadership:
Demonstrates clarity of thinking to work through limited information and vague problem definitionsInfluences through others; builds direct and "behind the scenes" support for ideasProactively identifies and removes project obstacles or barriers on behalf of the teamShares knowledge, power, and credit, establishing trust, credibility, and goodwillPersonal Attributes:
Able to work under minimal supervisionExcellent communication skills and the ability to interface with senior leadership with confidence and claritySkilled in providing oversight and mentoring team members. Shows ability to effectively delegate work.Applies values, business strategy, policies, precedent, and experience to make complex decisions in ambiguity and with uncertain consequences.

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