DevOps Engineer (Remote)

Role Overview

We are looking for a hands-on DevOps Engineer who will own infrastructure, deployment, reliability, and cloud cost optimisation. You will work closely with backend, AI, and product teams to ensure the platform is secure, scalable, and always available.

This is a high-ownership role with real impact on uptime, performance, and developer velocity.

Key Responsibilities

Infrastructure & Cloud Management

• Design, deploy, and manage cloud infrastructure (GCP preferred; AWS acceptable)
• Manage Compute Engine, Cloud Run, Kubernetes (GKE), Cloud SQL, storage, and networking
• Ensure high availability, fault tolerance, and scalability

CI/CD & Deployment

• Build and maintain CI/CD pipelines for backend and AI services
• Automate deployments, rollbacks, and environment management (dev, staging, prod)
• Improve release reliability and deployment speed

Monitoring, Reliability & Security

• Set up monitoring, alerting, and logging (uptime, CPU, memory, errors, latency)
• Proactively identify and resolve performance bottlenecks and incidents
• Implement security best practices: IAM, secrets management, backups, and access controls

Cost Optimisation & Performance

• Monitor and optimise cloud costs (compute, databases, storage)
• Implement autoscaling, right-sizing, and resource optimisation
• Work with engineering teams to balance performance with cost efficiency

Required Qualifications & Skills

• 3–6 years of hands-on DevOps / Cloud Engineering experience
• Strong experience with GCP (or AWS with willingness to transition)
• Experience with Docker, Kubernetes, and containerised workloads
• Experience with CI/CD tools (GitHub Actions, GitLab CI, or similar)
• Ability to troubleshoot production issues under pressure
• Experience with AI/ML workloads and GPU-based deployments

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.

Title: Cloud DevOps Engineer 

Role: Individual Contributor (4-8 yrs)  

Requirements: 

• Energetic self-starter, a fast learner, with a desire to work in a startup environment  
• Experience working with Public Clouds like AWS 

• Operating and Monitoring cloud infrastructure on AWS. 
• Primary focus on building, implementing and managing operational support 
• Design, Develop and Troubleshoot Automation scripts (Configuration/Infrastructure as code or others) for Managing Infrastructure. 
• Expert at one of the scripting languages – Python, shell, etc  
• Experience with Nginx/HAProxy, ELK Stack, Ansible, Terraform, Prometheus-Grafana stack, etc 

• Handling load monitoring, capacity planning, and services monitoring. 
• Proven experience With CICD Pipelines and Handling Database Upgrade Related Issues. 
• Good Understanding and experience in working with Containerized environments like Kubernetes and Datastores like Cassandra, Elasticsearch, MongoDB, etc

• Equal Experts is an innovative software delivery consultancy specializing in the delivery of custom software solutions for blue-chip enterprise and public sector clients across a range of industry sectors.
• We deliver market-leading propositions across the digital, online and mobile channels, and are recognized for our leadership in the application of Agile and Lean delivery methods to assure delivery.
• We are focused on hiring DevOps Engineers with skills in AWS, Automation tools, CI/CD tools and the likes.
• The DevOps Consultant will be working with an on-site client team and will be expected to mentor and share their skills and knowledge with the existing client developers.

• Continuous Delivery of quality software created by our project teams. Ensuring smooth build and release with continuous integration.
• Configuration Management - Design and implementation of deployment strategies for multiple projects.
• Virtualization and Infrastructure Provisioning.
• Maintenance and upgrade of our cloud environment (AWS).
• Version control and source code administration.
• Administration of Web Servers, Application Servers and Servlet Containers
• Setting up and managing the Automation efforts for multiple projects.

• Should have worked on Agile projects featuring weekly iterations and releases.
• Should have extensive hands-on experience with:
• Continuous Integration tools like Jenkins.
• Configuration Management tools like Terraform or Ansible.
• Cloud computing using AWS, EC2.
• Hands-on experience on Kubernetes.
• Virtualization tools like Vagrant, Docker or VMWare
• You have an active presence in the DevOps community through your blogs, Stack Overflow and GitHub profiles.
• You are passionate about DevOps. You love to mentor people and evangelize about best practices and innovations in DevOps.

Requirements

• Design, write and build tools to improve the reliability, latency, availability and scalability of HealthifyMe application.

• Communicate, collaborate and work effectively across distributed teams in a global environment

• Optimize performance and solve issues across the entire stack: hardware, software, application, and network.

• Experienced in building infrastructure with terraform / cloudformation or equivalent.
• Experience with ansible or equivalent is beneficial
• Ability to use a wide variety of Open Source Tools
• Experience  with AWS is a must.
• Minimum 5 years of running services in a large scale environment.
• Expert level understanding of Linux servers, specifically RHEL/CentOS.
• Practical, proven knowledge of shell scripting and at least one higher-level language (eg. Python, Ruby, GoLang).
• Experience with source code and binary repositories, build tools, and CI/CD (Git, Artifactory, Jenkins, etc)
• Demonstrable knowledge of TCP/IP, HTTP, web application security, and experience supporting multi-tier web application architectures.

Look forward to

- Working with a world-class team.

- Fun & work at the same place with an amazing work culture and flexible timings.

- Get ready to transform yourself into a health junkie

Join HealthifyMe and make history!