Sr. DevOps Engineer

6 days ago


Pune, Maharashtra, India Yash Technologies Pvt Ltd Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Job Description

Sr. DevOps Engineer - Python Job

Date: Sep 26, 2025

Job Requisition Id: 62670

Location: Pune, IN IN

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, were a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire Python Professionals in the following areas:

:

As an Operations Engineer, you will ensure stability and efficiency across clients' digital platforms by managing incidents, service requests, and monitoring activities while continuously improving operational processes. You will leverage runbooks, Python automation, and cloud technologies to streamline workflows, enhance reliability, and proactively resolve recurring issues. The role requires a process-driven mindset, strong troubleshooting skills, and close collaboration with cross-functional teams.

Key Responsibilities:
  • Incident & Service Request Handling: Manage incidents and requests within SLAs, ensuring timely resolution, escalation, and communication.
  • Troubleshooting & RCA: Investigate issues, perform root cause analysis, and implement permanent, automated solutions.
  • Automation Development: Build Python scripts and tools to automate repetitive operational tasks and workflows.
  • Monitoring & Alert Response: Act on alerts, improve observability, and automate recurring event handling.
  • Cloud & Infrastructure Automation: Support AWS operations using CI/CD pipelines and Infrastructure-as-Code tools (Terraform, CloudFormation, Ansible).
  • Collaboration: Work with engineering and support teams to ensure effective knowledge sharing and operational improvements.
Education & Experience:
  • University degree in Information technology, engineering or equivalent
  • Overall: 34 years in operations engineering, DevOps, or automation-heavy Ops roles.
  • Python Development & Automation: At least 23 years hands-on.
  • Cloud & Infrastructure Automation: 2 years with AWS and IaC tools.
Mandatory Skills:
  • Incident & Service Request Resolution: Proven experience handling incidents and service requests within defined SLAs.
  • Runbook Execution & Enhancement: Ability to execute, update, and improve runbooks with automation in mind.
  • Python Development (Required): Strong coding skills in Python to build automation scripts, tools, or pipelines.
  • Troubleshooting & Root Cause Analysis: Strong analytical skills with a focus on robust, automated solutions.
  • Monitoring & Alert Response: Experience with monitoring/observability tools and creating automated responses for recurring alerts.
  • Cloud & Infrastructure Automation: Hands-on experience with AWS services, CI/CD pipelines, and Infrastructure-as-Code (Terraform, CloudFormation, or Ansible).
  • Soft Skills: Ownership mindset, proactive problem-solving, effective communication with cross-functional teams.
Nice to Have:
  • Additional Scripting Languages: Familiarity with Bash, PowerShell, or similar.
  • Tooling & Framework Development: Experience building internal utilities, libraries, or frameworks to reduce manual work.
  • ServiceNow / ITSM Tools: Exposure to ITSM processes and tools for incident/request handling.
  • Broader Cloud Exposure: Knowledge of other cloud platforms (Azure, GCP) is a plus.
  • Automation Frameworks: Familiarity with containerization/orchestration (Docker, Kubernetes) for Ops automation.
  • ITIL Awareness: Understanding of ITIL practices for structured incident and problem management.

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles:

  • Flexible work arrangements, free spirit, and emotional positivity
  • Agile self-determination, trust, transparency, and open collaboration
  • All support needed for the realization of business goals
  • Stable employment with a great atmosphere and ethical corporate culture

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