Devops Tech Lead

Job Details

- Job Title: DevOps and SRE -Technical Project Manager

- Industry: Global digital transformation solutions provider

- Domain - Information technology (IT)

- Experience Required: 12-15 years

- Employment Type: Full Time

- Job Location: Bangalore, Chennai, Coimbatore, Hosur & Hyderabad

- CTC Range: Best in Industry

Job Description

Company’s DevOps Practice is seeking a highly skilled DevOps and SRE Technical Project Manager to lead large-scale transformation programs for enterprise customers. The ideal candidate will bring deep expertise in DevOps and Site Reliability Engineering (SRE), combined with strong program management, stakeholder leadership, and the ability to drive end-to-end execution of complex initiatives.

Key Responsibilities

• Lead the planning, execution, and successful delivery of DevOps and SRE transformation programs for enterprise clients, including full oversight of project budgets, financials, and margins.
• Partner with senior stakeholders to define program objectives, roadmaps, milestones, and success metrics aligned with business and technology goals.
• Develop and implement actionable strategies to optimize development, deployment, release management, observability, and operational workflows across client environments.
• Provide technical leadership and strategic guidance to cross-functional engineering teams, ensuring alignment with industry standards, best practices, and company delivery methodologies.
• Identify risks, dependencies, and blockers across programs, and proactively implement mitigation and contingency plans.
• Monitor program performance, KPIs, and financial health; drive corrective actions and margin optimization where necessary.
• Facilitate strong communication, collaboration, and transparency across engineering, product, architecture, and leadership teams.
• Deliver periodic program updates to internal and client stakeholders, highlighting progress, risks, challenges, and improvement opportunities.
• Champion a culture of continuous improvement, operational excellence, and innovation by encouraging adoption of emerging DevOps, SRE, automation, and cloud-native practices.
• Support GitHub migration initiatives, including planning, execution, troubleshooting, and governance setup for repository and workflow migrations.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related technical discipline.
• 15+ years of IT experience, including at least 5 years in a managerial or program leadership role.
• Proven experience leading large-scale DevOps and SRE transformation programs with measurable business impact.
• Strong program management expertise, including planning, execution oversight, risk management, and financial governance.
• Solid understanding of Agile methodologies (Scrum, Kanban) and modern software development practices.
• Deep hands-on knowledge of DevOps principles, CI/CD pipelines, automation frameworks, Infrastructure as Code (IaC), and cloud-native tooling.
• Familiarity with SRE practices such as service reliability, observability, SLIs/SLOs, incident management, and performance optimization.
• Experience with GitHub migration projects—including repository analysis, migration planning, tooling adoption, and workflow modernization.
• Excellent communication, stakeholder management, and interpersonal skills with the ability to influence and lead cross-functional teams.
• Strong analytical, organizational, and problem-solving skills with a results-oriented mindset.
• Preferred certifications: PMP, PgMP, ITIL, Agile/Scrum Master, or relevant technical certifications.

Skills: Devops Tools, Cloud Infrastructure, Team Management

Must-Haves

DevOps principles (5+ years), SRE practices (5+ years), GitHub migration (3+ years), CI/CD pipelines (5+ years), Agile methodologies (5+ years)

Notice period - 0 to 15days only 

We are looking for a passionate DevOps Engineer who can support deployment and monitor our Production, QE, and Staging environments performance. Applicants should have a strong understanding of UNIX internals and should be able to clearly articulate how it works. Knowledge of shell scripting & security aspects is a must. Any experience with infrastructure as code is a big plus. The key responsibility of the role is to manage deployments, security, and support of business solutions. Having experience in database applications like Postgres, ELK, NodeJS, NextJS & Ruby on Rails is a huge plus. At VakilSearch. Experience doesn't matter, passion to produce change matters

Responsibilities and Accountabilities:

• As part of the DevOps team, you will be responsible for configuration, optimization, documentation, and support of the infra components of VakilSearch’s product which are hosted in cloud services & on-prem facility
• Design, build tools and framework that support deploying and managing our platform & Exploring new tools, technologies, and processes to improve speed, efficiency, and scalability
• Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restore of different Env 
• Manage resources in a cost-effective, innovative manner including assisting subordinates ineffective use of resources and tools
• Resolve incidents as escalated from Monitoring tools and Business Development Team
• Implement and follow security guidelines, both policy and technology to protect our data
• Identify root cause for issues and develop long-term solutions to fix recurring issues and Document it
• Strong in performing production operation activities even at night times if required
• Ability to automate [Scripts] recurring tasks to increase velocity and quality
• Ability to manage and deliver multiple project phases at the same time

I Qualification(s): 

• Experience in working with Linux Server, DevOps tools, and Orchestration tools 
• Linux, AWS, GCP, Azure, CompTIA+, and any other certification are a value-add 

II Experience Required in DevOps Aspects:

• Length of Experience: Minimum 1-4 years of experience
• Nature of Experience: 
• Experience in Cloud deployments, Linux administration[ Kernel Tuning is a value add ], Linux clustering, AWS, virtualization, and networking concepts [ Azure, GCP value add ]
• Experience in deployment solutions CI/CD like Jenkins, GitHub Actions [ Release Management is a value add ]
• Hands-on experience in any of the configuration management IaC tools like Chef, Terraform, and CloudFormation [ Ansible & Puppet is a value add ]
• Administration, Configuring and utilizing Monitoring and Alerting tools like Prometheus, Grafana, Loki, ELK, Zabbix, Datadog, etc
• Experience with Containerization and orchestration tools like Docker, and Kubernetes [ Docker swarm is a value add ]Good Scripting skills in at least one interpreted language - Shell/bash scripting or Ruby/Python/Perl
• Experience in Database applications like PostgreSQL, MongoDB & MySQL [DataOps]
• Good at Version Control & source code management systems like GitHub, GIT
• Experience in Serverless [ Lambda/GCP cloud function/Azure function ]
• Experience in Web Server Nginx, and Apache
• Knowledge in Redis, RabbitMQ, ELK, REST API [ MLOps Tools is a value add ]
• Knowledge in Puma, Unicorn, Gunicorn & Yarn
• Hands-on VMWare ESXi/Xencenter deployments is a value add
• Experience in Implementing and troubleshooting TCP/IP networks, VPN, Load Balancing & Web application firewalls
• Deploying, Configuring, and Maintaining Linux server systems ON premises and off-premises
• Code Quality like SonarQube is a value-add
• Test Automation like Selenium, JMeter, and JUnit is a value-add
• Experience in Heroku and OpenStack is a value-add 
• Experience in Identifying Inbound and Outbound Threats and resolving it
• Knowledge of CVE & applying the patches for OS, Ruby gems, Node, and Python packages  
• Documenting the Security fix for future use
• Establish cross-team collaboration with security built into the software development lifecycle 
• Forensics and Root Cause Analysis skills are mandatory 
• Weekly Sanity Checks of the on-prem and off-prem environment 

III Skill Set & Personality Traits required:

• An understanding of programming languages such as Ruby, NodeJS, ReactJS, Perl, Java, Python, and PHP
• Good written and verbal communication skills to facilitate efficient and effective interaction with peers, partners, vendors, and customers

IV Age Group: 21 – 36 Years

V Cost to the Company: As per industry standards

Job Responsibilities:

• Managing and maintaining the efficient functioning of containerized applications and systems within an organization
• Design, implement, and manage scalable Kubernetes clusters in cloud or on-premise environments
• Develop and maintain CI/CD pipelines to automate infrastructure and application deployments, and track all automation processes
• Implement workload automation using configuration management tools, as well as infrastructure as code (IaC) approaches for resource provisioning
• Monitor, troubleshoot, and optimize the performance of Kubernetes clusters and underlying cloud infrastructure
• Ensure high availability, security, and scalability of infrastructure through automation and best practices
• Establish and enforce cloud security standards, policies, and procedures Work agile technologies
• 
  

Primary Requirements:

• Kubernetes: Proven experience in managing Kubernetes clusters (min. 2-3 years)
• Linux/Unix: Proficiency in administering complex Linux infrastructures and services
• Infrastructure as Code: Hands-on experience with CM tools like Ansible, as well as the 
• knowledge of resource provisioning with Terraform or other Cloud-based utilities
• CI/CD Pipelines: Expertise in building and monitoring complex CI/CD pipelines to 
• manage the build, test, packaging, containerization and release processes of software
• Scripting & Automation: Strong scripting and process automation skills in Bash, Python
• Monitoring Tools: Experience with monitoring and logging tools (Prometheus, Grafana)
• Version Control: Proficient with Git and familiar with GitOps workflows.
• Security: Strong understanding of security best practices in cloud and containerized 
• environments.

Skills/Traits that would be an advantage:

• Kubernetes administration experience, including installation, configuration, and troubleshooting
• Kubernetes development experience
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

Key Responsibilities:-

• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group

• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution

• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code

• Design, develop and maintain the framework for the analytical pipeline

• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation

• Provide input and help implement framework and tools to improve data quality

• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group

• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog

• Understanding of maintenance of existing systems (Virtual machines), Linux stack
• Experience running, operating and maintainence of Kubernetes pods
• Strong Scripting skills
• Experience in AWS
• Knowledge of configuring/optimizing open source tools like Kafka, etc.
• Strong automation maintenance - ability to identify opportunities to speed up build and deploy process with strong validation and automation
• Optimizing and standardizing monitoring, alerting.
• Experience in Google cloud platform
• Experience/ Knowledge  in Python will be an added advantage
• Experience on Monitoring Tools like Jenkins, Kubernetes ,Terraform  etc

• Public clouds, such as AWS, Azure, or Google Cloud Platform
• Automation technologies, such as Kubernetes or Jenkins
• Configuration management tools, such as Puppet or Chef
• Scripting languages, such as Python or Ruby

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops

• Administration and Support for Azure DevOps Server/Services
• Migration from Azure DevOps Server to Azure DevOps Services (SaaS)
• Process Template Customization and Deployment model
• Migration, Upgrade, Monitor, and Maintenance of ADS Instance
• Automation using REST API to build Extensions and Custom Reporting
• Expert in all Modules of Azure DevOps Server/Service (Work Item, SCM/VC, Build, Release, Test, Reporting Management)"

• CICD Orchestration tools and other SCM/VC tools

• Microsoft MCSD Application Lifecycle Management certified
• A bachelor or master degree with a minimum of 6 years relevant work experience in Azure DevOps Server/Services (SaaS)
• Good communication skills
• Strong knowledge of application lifecycle workflows and processes involved in the design, development, deployment, test, and maintenance of software systems in the Windows environment
• Visual Studio and the .NET Framework experience is required "

• Administration and Support for Azure DevOps Server/Services
• Migration from Azure DevOps Server to Azure DevOps Services (SaaS)
• Process Template Customization and Deployment model
• Work with the user community to adopt new features, enable new use cases, and help resolve any issues
• Create customizations and tools to help support the team’s needs (PM, Dev, Test, & Ops)
• Take the lead in the validation of the application.
• Monitor the health of the solution and take proactive steps to ensure reliable availability and performance
• Manage patches and updates for tooling solutions and related hosting environments including the operating system
• Automate the process for Maintenance"