11+ Release Management Jobs in Chennai | Release Management Job openings in Chennai

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

Why this role exists

Our infrastructure footprint is growing faster than our headcount, and we believe most of that

gap should be closed by automation and AI agents — not by hiring more humans to do toil. We

need someone early in their career who treats manual work as a bug, ships scripts and agents

instead of tickets, and wants to grow into deeper ownership over the next two years.

You will not be the most senior person on the team. You will be the one who multiplies the team.

What you'll own

In your first 1 months

• Take ownership of one slice of our CI/CD pipeline and make it measurably

faster, more reliable, or cheaper. We expect a number on a dashboard to move.

• Build at least three internal automations that replace manual ops toil —

using AI agents (Claude Code, agentic CLIs, scripted LLM workflows) as your force

multiplier.

• Be the first responder for a defined set of alerts. Write the runbooks. Drive

the alert volume down.

• Support senior engineers on AI/ML infrastructure (GPU nodes, inference

services, model deployment) — observe, document, and gradually take on contained

changes under review.

By 3 months you should be

• The go-to person for at least two production systems.

• Shipping routine infrastructure changes without needing senior review.

• Treating "manual" as a code smell.

Required (we will reject without these)

• 0–3 years hands-on experience with one major cloud (AWS, GCP, or

Azure — one is fine, depth beats breadth).

• Fluent in Linux command line, bash, and at least one scripting language

(Python or Go preferred).

• Have shipped something to production that real users hit. A side project

counts; a graded coursework lab does not.

• Comfortable with Docker — you can explain what an image vs. a

container is and why it matters.

• Working knowledge of networking fundamentals: DNS, HTTP/HTTPS,

TLS, ports, basic subnets — enough to debug "it works on my machine."

• Git fluency: branches, merges, rebases, conflict resolution.

• CI/CD pipelines — you have authored or substantially modified pipelines

in GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar. Not just "I clicked Re-run."

• Kubernetes basics — kubectl for real work, can read pod logs,

understand deployments and services, can debug a CrashLoopBackOff without

panicking. You do not need to have run a cluster; you do need to have lived inside one.

• Active user of AI coding agents (Claude Code, Cursor, Copilot, agentic

CLIs, etc.). You should be able to walk us through specific tasks where they made you

faster, and specific tasks where they failed you and how you noticed. "I have tried it" is

not enough.

Bonus (real plus, not required)

• Infrastructure as Code: Terraform, Pulumi, or Ansible.

• Observability: Prometheus/Grafana, Datadog, OpenTelemetry, any APM.

• Have built or extended an LLM-based agent — a custom MCP server, a

scripted multi-step workflow, an internal tool that calls models in a loop. Anything beyond

chat-with-Claude.

• Exposure to GPU workloads, model serving (vLLM, Triton, TGI, etc.), or

ML pipelines.

What we don't care about

• Whether your degree is in CS — or whether you have a degree at all.

• Brand-name companies on your resume.

• Certifications. They are fine. They do not substitute for having shipped.

How we work

• We default to automation. If you do something manually twice, the third

time you script it or hand it to an agent.

• AI agents are part of the workflow, not a novelty. Expect interview

questions about exactly how you use them — and where you have caught them being

wrong.

• Small, reversible changes beat big-bang rollouts.

• Postmortems are blameless and written down.

• We push back on each other. If you only execute, you will be unhappy

here.

How to apply

Send:

• Your resume.

• A short note (≤200 words) describing one infra or automation problem you

solved, and how AI agents factored in — or did not, and why. We read these. Generic

notes get rejected.

Internal note — delete before posting externally

• Comp band, location policy, team name, and reporting line marked

[CONFIRM] need to be filled in before this goes external.

• The Required list is intentionally tight: CI/CD and Kubernetes basics

promoted from bonus. Expect this to filter ~80% of typical junior DevOps applicants. The

remaining pool will skew toward people who have actually shipped infra at a startup, not

bootcamp grads or pure cloud-cert holders.

• IaC, observability, agent-building, and GPU/ML serving stay as bonus.

Promoting any of these to required at 0–3 yrs collapses the pool to near-zero or forces

hiring senior people at junior comp. If you want IaC required, re-level this to mid (3–5

yrs) and raise the band.

• Screening implication: the resume screen should explicitly check for

CI/CD pipeline authorship and any K8s-touching production work. If neither is on the

resume, reject at screen. Do not waste interview slots.

• Pipeline watch: if fewer than ~15 qualified resumes after 2 weeks of

active sourcing, the first thing to relax is the AI-agent-fluency bar (move to bonus and

screen for it in interview instead). Do not relax the "shipped to production" requirement

— that is the load-bearing filter.

• Configure, optimize, document, and support of the infrastructure components of software products (which are hosted in collocated facilities and cloud services such as AWS)
• Design and build tools and frameworks that support deployment and management and platforms
• Design, build, and deliver cloud computing solutions, hosted services, and underlying software infrastructures
• Build core functionality of our cloud-based platform product, deliver secure, reliable services and construct third party integrations
• Assist in coaching application developers on proper DevOps techniques for building scalable applications in the microservices paradigm
• Foster collaboration with software product development and architecture teams to ensure releases are delivered with repeatable and auditable processes
• Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restores of different environments
• Work independently across multiple platforms and applications to understand dependencies
• Evaluate new tools, technologies, and processes to improve speed, efficiency, and scalability of continuous integration environments
• Design and architect solutions for existing client-facing applications as they are moved into cloud environments such as AWS
• Competencies
• Full understanding of scripting and automated process management in languages such as Shell, Ruby and/ or Python
• Working Knowledge SCM tools such as Git, GitHub, Bitbucket, etc.
• Working knowledge of Amazon Web Services and related APIs
• Ability to deliver and manage web or cloud-based services
• General familiarity with monitoring tools
• General familiarity with configuration/provisioning tools such as Terraform
• Experience
• Experience working within an Agile type environment
• 4+ years of experience with cloud-based provisioning (Azure, AWS, Google), monitoring, troubleshooting, and related DevOps technologies
• 4+ years of experience with containerization/orchestration technologies like Rancher, Docker and Kubernetes

• Bachelor of Computer Science or Equivalent Education
• At least 5 years of experience in a relevant technical position.
• Azure and/or AWS experience
• Strong in CI/CD concepts and technologies like GitOps (Argo CD)
• Hands-on experience with DevOps Tools (Jenkins, GitHub, SonarQube, Checkmarx)
• Experience with Helm Charts for package management
• Strong in Kubernetes, OpenShift, and Container Network Interface (CNI)
• Experience with programming and scripting languages (Spring Boot, NodeJS, Python)
• Strong container image management experience using Docker and distroless concepts
• Familiarity with Shared Libraries for code reuse and modularity
• Excellent communication skills (verbal, written, and presentation)

Note: Looking for immediate joiners only.

Bachelor's degree in Computer Science or a related field, or equivalent work experience

Strong understanding of cloud infrastructure and services, such as AWS, Azure, or Google Cloud Platform

Experience with infrastructure as code tools such as Terraform or CloudFormation

Proficiency in scripting languages such as Python, Bash, or PowerShell

Familiarity with DevOps methodologies and tools such as Git, Jenkins, or Ansible

Strong problem-solving and analytical skills

Excellent communication and collaboration skills

Ability to work independently and as part of a team

Willingness to learn new technologies and tools as required

About us:

HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.

We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.

To know more, Visit! - https://www.happyfox.com/

Responsibilities:

• Build and scale production infrastructure in AWS for the HappyFox platform and its products.
• Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
• Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
• Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
• Implement consistent observability, deployment and IaC setups
• Patch production systems to fix security/performance issues
• Actively respond to escalations/incidents in the production environment from customers or the support team
• Mentor other Infrastructure engineers, review their work and continuously ship improvements to production infrastructure.
• Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
• Participate in infrastructure security audits

Requirements:

• At least 5 years of experience in handling/building Production environments in AWS.
• At least 2 years of programming experience in building API/backend services for customer-facing applications in production.
• Demonstrable knowledge of TCP/IP, HTTP and DNS fundamentals.
• Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
• Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
• Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
• Proficient in writing automation scripts using any scripting language such as Python, Ruby, Bash etc.,
• Experience in setting up and managing test/staging environments, and CI/CD pipelines.
• Experience in IaC tools such as Terraform or AWS CDK
• Passion for making systems reliable, maintainable, scalable and secure.
• Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
• Bonus points – if you have experience with Nginx, Postgres, Redis, and Mongo systems in production.

About us:

HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.

We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.

To know more, Visit! - https://www.happyfox.com/

Responsibilities

• Build and scale production infrastructure in AWS for the HappyFox platform and its products.
• Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
• Implement consistent observability, deployment and IaC setups
• Lead incident management and actively respond to escalations/incidents in the production environment from customers and the support team.
• Hire/Mentor other Infrastructure engineers and review their work to continuously ship improvements to production infrastructure and its tooling.
• Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
• Lead infrastructure security audits

Requirements

• At least 7 years of experience in handling/building Production environments in AWS.
• At least 3 years of programming experience in building API/backend services for customer-facing applications in production.
• Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
• Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
• Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
• Experience in security hardening of infrastructure, systems and services.
• Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
• Experience in setting up and managing test/staging environments, and CI/CD pipelines.
• Experience in IaC tools such as Terraform or AWS CDK
• Exposure/Experience in setting up or managing Cloudflare, Qualys and other related tools
• Passion for making systems reliable, maintainable, scalable and secure.
• Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
• Bonus points – Hands-on experience with Nginx, Postgres, Postfix, Redis or Mongo systems.

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.

Job Description :

• Extensive exp. with K8s (EKS/GKE) and k8s eco-system tooling e,g., Prometheus, ArgoCD, Grafana, Istio etc.
• Extensive AWS/GCP Core Infrastructure skills
• Infrastructure/ IAC Automation, Integration - Terraform
• Kubernetes resources engineering and management
• Experience with DevOps tools, CICD pipelines and release management
• Good at creating documentation(runbooks, design documents, implementation plans )

Linux Experience :

1. Namespace
2. Virtualization
3. Containers

Networking Experience

1. Virtual networking
2. Overlay networks
3. Vxlans, GRE

Kubernetes Experience :

Should have experience in bringing up the Kubernetes cluster manually without using kubeadm tool.

Observability                              

Experience in observability is a plus

Cloud automation :

Familiarity with cloud platforms exclusively AWS, DevOps tools like Jenkins, terraform etc.

Requirements:-

• Bachelor’s Degree or Master’s in Computer Science, Engineering,Software Engineering or a relevant field. 
• Strong experience with Windows/Linux-based infrastructures, Linux/Unix administration.
• knowledge of Jira, Bitbucket, Jenkins, Xray, Ansible, Windows and  .Net. as their Core Skill.
• Strong experience with databases such as SQL, MS SQL, MySQL, NoSQL.
• Knowledge of scripting languages such as Shell Scripting /Python/ PHP/Groovy, Bash.  
• Experience with project management and workflow tools such as   Agile, Jira / WorkFront etc.
• Experience with open-source technologies and cloud services.
• Experience in working with Puppet or Chef for automation and configuration.
• Strong communication skills and ability to explain protocol and processes with team  and management.  
• Experience in a DevOps Engineer role (or similar role)
• AExperience in software development and infrastructure development is a plus

Job Specifications:-

• Building and maintaining tools, solutions and micro services associated with deployment and our operations platform, ensuring that all meet our customer service standards and reduce errors.  
• Actively troubleshoot any issues that arise during testing and production, catching and solving issues before launch.
• Test our system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed
• Deploy product updates as required while implementing integrations when they arise.  
• Automate our operational processes as needed, with accuracy and in compliance with our security requirements.
• Specifying, documenting and developing new product features, and writing automating scripts.  Manage code deployments, fixes, updates and related processes.
• Work with open-source technologies as needed.
• Work with CI and CD tools, and source control such as GIT and SVN.
• Lead the team through development and operations.
• Offer  technical support where needed, developing software for our back-end systems.