DevOps Engineer

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.

Job Description

• Minimum 3+ yrs of Experience in DevOps with AWS Platform

• Strong AWS knowledge and experience

• Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)

• Experience with IAC tools Terraform

• Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)

• Significant experience with Linux operating system environments

• Experience with infrastructure scripting solutions such as Python/Shell scripting

• Must have experience in designing Infrastructure automation framework.

• Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)

• Excellent problem-solving, Log Analysis and troubleshooting skills

• Experience in setting up centralized logging for system (EKS, EC2) and application

• Process-oriented with great documentation skills

• Ability to work effectively within a team and with minimal supervision

JOB RESPONSIBILITIES:

• Responsible for design, implementation, and continuous improvement on automated CI/CD infrastructure
• Displays technical leadership and oversight of implementation and deployment planning, system integration, ongoing data validation processes, quality assurance, delivery, operations, and sustainability of technical solutions
• Responsible for designing topology to meet requirements for uptime, availability, scalability, robustness, fault tolerance & security
• Implement proactive measures for automated detection and resolution of recurring operational issues
• Lead operational support team manage incidents, document root cause and tracking preventive measures
• Identifying and deploying cybersecurity measures by continuously validating/fixing vulnerability assessment reports and risk management
• Responsible for the design and development of tools, installation procedures
• Develops and maintains accurate estimates, timelines, project plans, and status reports
• Organize and maintain packaging and deployment of various internal modules and third-party vendor libraries
• Responsible for the employment, timely performance evaluation, counselling, employee development, and discipline of assigned employees.
• Participates in calls and meetings with customers, vendors, and internal teams on regular basis.
• Perform infrastructure cost analysis and optimization

SKILLS & ABILITIES

Experience: Minimum of 10 years of experience with good technical knowledge regarding build, release, and systems engineering

Technical Skills:

• Experience with DevOps toolchains such as Docker, Rancher, Kubernetes, Bitbucket
• Experience with Apache, Nginx, Tomcat, Prometheus ,Grafana
• Ability to learn/use a wide variety of open-source technologies and tools
• Sound understanding of cloud technologies preferably AWS technologies
• Linux, Windows, Scripting, Configuration Management, Build and Release Engineering
• 6 years of experience in DevOps practices, with a good understanding of DevOps and Agile principles
• Good scripting skills (Python/Perl/Ruby/Bash)
• Experience with standard continuous integration tools Jenkins/Bitbucket Pipelines
• Work on software configuration management systems (Puppet/Chef/Salt/Ansible)
• Microsoft Office Suite (Word, Excel, PowerPoint, Visio, Outlook) and other business productivity tools
• Working knowledge on HSM and PKI (Good to have)

Location:

• Bangalore

Experience:

• 10 + Years.

Our Client is a B2B2C tech Web3 startup founded by founders - IITB Graduates who are experienced in retail, ecommerce and fintech.
Vision: Our Client aims to change the way that customers, creators, and retail investors interact and transact at brands of all shapes and sizes. Essentially, becoming the Web3 version of brands driven social ecommerce & investment platform.

Why you should join us

- You will join the mission to create positive impact on millions of peoples lives

- You get to work on the latest technologies in a culture which encourages experimentation - You get to work with super humans (Psst: Look up these super human1, super human2, super human3, super human4)

- You get to work in an accelerated learning environment

What you will do

- You will provide deep technical expertise to your team in building future ready systems.

- You will help develop a robust roadmap for ensuring operational excellence

- You will setup infrastructure on AWS that will be represented as code

- You will work on several automation projects that provide great developer experience

- You will setup secure, fault tolerant, reliable and performant systems

- You will establish clean and optimised coding standards for your team that are well documented

- You will set up systems in a way that are easy to maintain and provide a great developer experience

- You will actively mentor and participate in knowledge sharing forums

- You will work in an exciting startup environment where you can be ambitious and try new things :)

You should apply if

- You have a strong foundation in Computer Science concepts and programming fundamentals

- You have been working on cloud infrastructure setup, especially on AWS since 8+ years

- You have set up and maintained reliable systems that operate at high scale

- You have experience in hardening and securing cloud infrastructures

- You have a solid understanding of computer networking, network security and CDNs

- Extensive experience in AWS, Kubernetes and optionally Terraform

- Experience in building automation tools for code build and deployment (preferably in JS)

- You understand the hustle of a startup and are good with handling ambiguity

- You are curious, a quick learner and someone who loves to experiment

- You insist on highest standards of quality, maintainability and performance

- You work well in a team to enhance your impact

PRAXINFO Hiring DevOps Engineer.

Position : DevOps Engineer

Job Location : C.G.Road, Ahmedabad

EXP : 1-3 Years

Salary : 40K - 50K

Required skills:

⦿ Good understanding of cloud infrastructure (AWS, GCP etc)

⦿ Hands on with Docker, Kubernetes or ECS

⦿ Ideally strong Linux background (RHCSA , RHCE)

⦿ Good understanding of monitoring systems (Nagios etc), Logging solutions (Elastisearch etc)

⦿ Microservice architectures

⦿ Experience with distributed systems and highly scalable systems

⦿ Demonstrated history in automating operations processes via services and tools ( Puppet, Ansible etc)

⦿ Systematic problem-solving approach coupled with a strong sense of ownership and drive.

If anyone is interested than share your resume at hiring at praxinfo dot com!

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