Azure 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.

Please Apply - https://zrec.in/7EYKe?source=CareerSite

About Us

Infra360 Solutions is a services company specializing in Cloud, DevSecOps, Security, and Observability solutions. We help technology companies adapt DevOps culture in their organization by focusing on long-term DevOps roadmap. We focus on identifying technical and cultural issues in the journey of successfully implementing the DevOps practices in the organization and work with respective teams to fix issues to increase overall productivity. We also do training sessions for the developers and make them realize the importance of DevOps. We provide these services - DevOps, DevSecOps, FinOps, Cost Optimizations, CI/CD, Observability, Cloud Security, Containerization, Cloud Migration, Site Reliability, Performance Optimizations, SIEM and SecOps, Serverless automation, Well-Architected Review, MLOps, Governance, Risk & Compliance. We do assessments of technology architecture, security, governance, compliance, and DevOps maturity model for any technology company and help them optimize their cloud cost, streamline their technology architecture, and set up processes to improve the availability and reliability of their website and applications. We set up tools for monitoring, logging, and observability. We focus on bringing the DevOps culture to the organization to improve its efficiency and delivery.

Job Description

Job Title:             Senior DevOps Engineer / SRE

Department:       Technology

Location:             Gurgaon

Work Mode:         On-site

Working Hours:   10 AM - 7 PM 

Terms:                 Permanent

Experience:      4-6 years

Education:           B.Tech/MCA

Notice Period:     Immediately

​

About Us

At Infra360.io, we are a next-generation cloud consulting and services company committed to delivering comprehensive, 360-degree solutions for cloud, infrastructure, DevOps, and security. We partner with clients to transform and optimize their technology landscape, ensuring resilience, scalability, cost efficiency and innovation.

Our core services include Cloud Strategy, Site Reliability Engineering (SRE), DevOps, Cloud Security Posture Management (CSPM), and related Managed Services. We specialize in driving operational excellence across multi-cloud environments, helping businesses achieve their goals with agility and reliability.

We thrive on ownership, collaboration, problem-solving, and excellence, fostering an environment where innovation and continuous learning are at the forefront. Join us as we expand and redefine what’s possible in cloud technology and infrastructure.

Role Summary

We are seeking a Senior DevOps Engineer (SRE) to manage and optimize large-scale, mission-critical production systems. The ideal candidate will have a strong problem-solving mindset, extensive experience in troubleshooting, and expertise in scaling, automating, and enhancing system reliability. This role requires hands-on proficiency in tools like Kubernetes, Terraform, CI/CD, and cloud platforms (AWS, GCP, Azure), along with scripting skills in Python or Go. The candidate will drive observability and monitoring initiatives using tools like Prometheus, Grafana, and APM solutions (Datadog, New Relic, OpenTelemetry).

Strong communication, incident management skills, and a collaborative approach are essential. Experience in team leadership and multi-client engagement is a plus.

Ideal Candidate Profile

• Solid 4-6 years of experience as an SRE and DevOps with a proven track record of handling large-scale production environments
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Strong Hands-on experience with managing Large Scale Production Systems
• Strong Production Troubleshooting Skills and handling high-pressure situations.
• Strong Experience with Databases (PostgreSQL, MongoDB, ElasticSearch, Kafka)
• Worked on making production systems more Scalable, Highly Available and Fault-tolerant
• Hands-on experience with ELK or other logging and observability tools
• Hands-on experience with Prometheus, Grafana & Alertmanager and on-call processes like Pagerduty
• Problem-Solving Mindset
• Strong with skills - K8s, Terraform, Helm, ArgoCD, AWS/GCP/Azure etc
• Good with Python/Go Scripting Automation
• Strong with fundamentals like DNS, Networking, Linux
• Experience with APM tools like - Newrelic, Datadog, OpenTelemetry
• Good experience with Incident Response, Incident Management, Writing detailed RCAs
• Experience with Applications best practices in making apps more reliable and fault-tolerant
• Strong leadership skills and the ability to mentor team members and provide guidance on best practices.
• Able to manage multiple clients and take ownership of client issues.
• Experience with Git and coding best practices

Good to have

• Team-leading Experience
• Multiple Client Handling
• Requirements gathering from clients
• Good Communication

Key Responsibilities

1. Design and Development:
2. Architect, design, and develop high-quality, scalable, and secure cloud-based software solutions.
3. Collaborate with product and engineering teams to translate business requirements into technical specifications.
4. Write clean, maintainable, and efficient code, following best practices and coding standards.
5. Cloud Infrastructure:
6. Develop and optimise cloud-native applications, leveraging cloud services like AWS, Azure, or Google Cloud Platform (GCP).
7. Implement and manage CI/CD pipelines for automated deployment and testing.
8. Ensure the security, reliability, and performance of cloud infrastructure.
9. Technical Leadership:
10. Mentor and guide junior engineers, providing technical leadership and fostering a collaborative team environment.
11. Participate in code reviews, ensuring adherence to best practices and high-quality code delivery.
12. Lead technical discussions and contribute to architectural decisions.
13. Problem Solving and Troubleshooting:
14. Identify, diagnose, and resolve complex software and infrastructure issues.
15. Perform root cause analysis for production incidents and implement preventative measures.
16. Continuous Improvement:
17. Stay up-to-date with the latest industry trends, tools, and technologies in cloud computing and software engineering.
18. Contribute to the continuous improvement of development processes, tools, and methodologies.
19. Drive innovation by experimenting with new technologies and solutions to enhance the platform.
20. Collaboration:
21. Work closely with DevOps, QA, and other teams to ensure smooth integration and delivery of software releases.
22. Communicate effectively with stakeholders, including technical and non-technical team members.
23. Client Interaction & Management: 
24. Will serve as a direct point of contact for multiple clients.
25. Able to handle the unique technical needs and challenges of two or more clients concurrently. 
26. Involve both direct interaction with clients and internal team coordination.
27. Production Systems Management: 
28. Must have extensive experience in managing, monitoring, and debugging production environments. 
29. Will work on troubleshooting complex issues and ensure that production systems are running smoothly with minimal downtime.

Job description

The role requires you to design development pipelines from the ground up, Creation of Docker Files,  design and operate highly available systems in AWS Cloud environments. Also involves Configuration Management, Web Services Architectures, DevOps Implementation, Database management, Backups, and Monitoring.

Key responsibility area
- Ensure reliable operation of CI/CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creation of Bash/Python scripts for automation
- Performing root cause analysis for production errors.

Requirement
- 2 years experience as Team Lead.
- Good Command on kubernetes.
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins. 
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache. 
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.

Must Have:
Linux, CI/CD(Jenkin), AWS, Scripting(Bash,shell Python, Go), Ngnix, Docker.

Good to have
Configuration Management(Ansible or similar tool), Logging tool( ELK or similar), Monitoring tool(Ngios or similar), IaC(Terraform, cloudformation).

• Install, configuration management, performance tuning and monitoring of Web, App and Database servers.
• Install, setup and management of Java, PHP and NodeJS stack with software load balancers.
• Install, setup and administer MySQL, Mongo, Elasticsearch & PostgreSQL DBs.
• Install, set up and maintenance monitoring solutions for like Nagios, Zabbix.
• Design and implement DevOps processes for new projects following the department's objectives of automation.
• Collaborate on projects with development teams to provide recommendations, support and guidance.
• Work towards full automation, monitoring, virtualization and containerization.
• Create and maintain tools for deployment, monitoring and operations.
• Automation of processes in a scalable and easy to understand way that can be detailed and understood through documentation.
• Develop and deploy software that will help drive improvements towards the availability, performance, efficiency, and security of services.
• Maintain 24/7 availability for responsible systems and be open to on-call rotation.

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!