Senior DevOps

Job Title : DevOps Engineer – Linux, AWS & Infrastructure

Experience : 3+ Years

Location : Sector 48, Gurgaon

Work Mode : 6 Days WFO – Monday to Saturday

Week Off : 01st & 03rd Saturday Off

Employment Type : Full-Time

Job Summary :

We are looking for a DevOps Engineer with strong hands-on experience in Linux, Networking, Server Administration, AWS, CI/CD, Containers, Kubernetes, and Infrastructure Automation. The ideal candidate should have strong troubleshooting skills, production ownership, and the ability to manage and automate infrastructure reliably.

Key Responsibilities :

• Manage and troubleshoot Linux servers, bare-metal infrastructure, and server environments.
• Perform system administration, networking, performance monitoring, and production troubleshooting.
• Design, maintain, and optimize Jenkins-based CI/CD pipelines and deployment workflows.
• Manage Docker containers and Kubernetes environments.
• Work with AWS Cloud services, infrastructure, security, and deployment environments.
• Monitor system health, application performance, logs, and infrastructure using appropriate monitoring and logging tools.
• Implement and maintain Infrastructure as Code (IaC) using tools such as Terraform or CloudFormation.
• Automate repetitive operational tasks using Python, Bash, Shell scripting, or similar technologies.
• Implement infrastructure and application security, access controls, patching, and hardening.
• Investigate production incidents, perform root-cause analysis (RCA), and drive issues to resolution.
• Take end-to-end ownership of infrastructure reliability, availability, and operational issues.
• Collaborate with development and other engineering teams to improve deployment, scalability, and system reliability.

Mandatory Skills :

Linux & Networking | Bare Metal / Server Administration | Jenkins / CI-CD | Docker / Containers | AWS Cloud | Kubernetes | Git | Monitoring & Logging | Security | Infrastructure as Code (IaC) | Automation / Scripting | Production Troubleshooting & Ownership

Preferred Skills :

• Strong understanding of TCP/IP, DNS, HTTP/HTTPS, SSH, load balancing, and networking fundamentals.
• Hands-on experience with Terraform / CloudFormation.
• Experience with Prometheus, Grafana, ELK / EFK, CloudWatch, or similar monitoring / logging tools.
• Good understanding of Linux performance troubleshooting, processes, memory, disk, networking, and file systems.
• Experience handling production incidents, RCA, deployments, and system reliability.
• Exposure to cloud security, IAM, secrets management, and server hardening.

What We’re Looking For :

• 3+ years of hands-on experience in DevOps / SRE / Infrastructure Engineering.
• Strong practical knowledge rather than certification-based/theoretical understanding.
• Good troubleshooting and analytical skills.
• Strong sense of ownership and accountability for production systems.
• Comfortable working in a 6-day work-from-office environment.

JOB DETAILS:

- Job Title: Senior Devops Engineer 1

- Industry: Ride-hailing

- Experience: 4-6 years

- Working Days: 5 days/week

- Work Mode: ONSITE

- Job Location: Bangalore

- CTC Range: Best in Industry

Required Skills: Cloud & Infrastructure Operations, Kubernetes & Container Orchestration, Monitoring, Reliability & Observability, Proficiency with Terraform, Ansible etc., Strong problem-solving skills with scripting (Python/Go/Shell)

Criteria:

1. Candidate must be from a product-based or scalable app-based startups company with experience handling large-scale production traffic.

2. Candidate must have strong Linux expertise with hands-on production troubleshooting and working knowledge of databases and middleware (Mongo, Redis, Cassandra, Elasticsearch, Kafka).

3. Candidate must have solid experience with Kubernetes.

4. Candidate should have strong knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.

5. Candidate must be an individual contributor with strong ownership.

6. Candidate must have hands-on experience with DATABASE MIGRATIONS and observability tools such as Prometheus and Grafana.

7. Candidate must have working knowledge of Go/Python and Java.

8. Candidate should have working experience on Cloud platform - AWS

9. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation.

Description 

Job Summary:

As a DevOps Engineer at company, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.

Job Responsibilities:

- Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs.

- Understanding the needs of stakeholders and conveying this to developers.

- Working on ways to automate and improve development and release processes.

- Identifying technical problems and developing software updates and ‘fixes’.

- Working with software developers to ensure that development follows established processes and works as intended.

- Do what it takes to keep the uptime above 99.99%.

- Understand DevOps philosophy and evangelize the principles across the organization.

- Strong communication and collaboration skills to break down the silos

Job Requirements:

- B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience.

- Minimum 4 yrs of experience working as a DevOps/Infrastructure Consultant.

- Strong background in operating systems like Linux.

- Understands the container orchestration tool Kubernetes.

- Proficient Knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.

- Problem-solving attitude, and ability to write scripts using any scripting language.

- Understanding programming languages like GO/Python, and Java.

- Basic understanding of databases and middlewares like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

- Should be able to take ownership of tasks, and must be responsible. - Good communication skills

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.

DevOps Lead Engineer

We are seeking a skilled DevOps Lead Engineer with 8 to 10 yrs. of experience who handles the entire DevOps lifecycle and is accountable for the implementation of the process. A DevOps Lead Engineer is liable for automating all the manual tasks for developing and deploying code and data to implement continuous deployment and continuous integration frameworks. They are also held responsible for maintaining high availability of production and non-production work environments.

Essential Requirements (must have):

• Bachelor's degree preferable in Engineering.

• Solid 5+ experience with AWS, DevOps, and related technologies

Skills Required:

Cloud Performance Engineering

• Performance scaling in a Micro-Services environment

• Horizontal scaling architecture

• Containerization (such as Dockers) & Deployment

• Container Orchestration (such as Kubernetes) & Scaling

DevOps Automation

• End to end release automation.

• Solid Experience in DevOps tools like GIT, Jenkins, Docker, Kubernetes, Terraform, Ansible, CFN etc.

• Solid experience in Infra Automation (Infrastructure as Code), Deployment, and Implementation.

• Candidates must possess experience in using Linux, Jenkins, and ample experience in Configuring and automating the monitoring tools.

• Strong scripting knowledge

• Strong analytical and problem-solving skills.

• Cloud and On-prem deployments

Infrastructure Design & Provisioning

• Infra provisioning.

• Infrastructure Sizing

• Infra Cost Optimization

• Infra security

• Infra monitoring & site reliability.

Job Responsibilities:

• Responsible for creating software deployment strategies that are essential for the successful

deployment of software in the work environment and provide stable environment for delivery of

quality.

• The DevOps Lead Engineer is accountable for designing, building, configuring, and optimizing

automation systems that help to execute business web and data infrastructure platforms.

• The DevOps Lead Engineer is involved in creating technology infrastructure, automation tools,

and maintaining configuration management.

• The Lead DevOps Engineer oversees and leads the activities of the DevOps team. They are

accountable for conducting training sessions for the juniors in the team, mentoring, career

support. They are also answerable for the architecture and technical leadership of the complete

DevOps infrastructure.

• AWS Cloud, CICD, Serverless setups, Monitoring Setup
• Performance setup, scalability in hands experience, Linux expertise, DevOps Operations

• AWS Cloud, CICD, Serverless setups, Monitoring Setup, Performance setup, scalability in hands experience, Linux expertise, DevOps Operations.

Skills:

• Strong working knowledge of AWS.
• Implements AWS cloud platform.
• Infrastructure as Code, GitLab CI/CD, and DevOps standard methodologies
• scripting in Shell, Python, Ruby or any preferred scripting language

Terraform expertise is a MUST for this role.

a short exercise on terraform to all shortlisted candidates to demonstrate their hands-on skills on terraform before rolling out the offer

Desired Profile

 Providing expertise on all matters related to CI, CD and DevOps.

 Building and maintaining highly available production systems.

 Developing and maintaining release related documents, such as release plan, release notes etc.

 Ensuring quality releases and managing release and configuration change conflicts to resolution.

 Tracking release and publishing release notes.  Investigating and resolving technical issues by deploying updates/ fixes.

 Onboard applications to DevOps process.

 Setup and configure build jobs.

 Create automated deployment scripts.

 Configure JIRA workflow, and integrate with Jenkins / Micro-services.

Qualification

 Degree/Diploma in Computer Science, Engineering or related field and have previous experience as a DevOps Engineer.

 AWS Certification will be a plus.

 Experience of automation and provisioning approaches, using tools such as Terraform & Cloud Formation

Skillset Required

 Solid experience within release management, infra architecture, CI&CD.

 Highly goal driven and work well in fast paced environments.

 Proven experience of using Jenkins, Unix Shell Commands, Container technology (Docker, Kubernetes),

Java Programming, Groovy Script, Git, Code Branching Strategy, Maven, Gradle, JIRA, ECS, OpenShift.