DevOps Engineer

Azure DevOps Engineer

Experience

5-10 years of hands-on experience in Platform Engineering, Cloud Engineering, SRE, DevOps or Infrastructure Engineering roles.

Priority 1 – Must Have (Hands-On)

Azure Cloud Platform

·        Strong hands-on experience supporting Azure workloads in production environments.

·        Experience designing, building and supporting Azure infrastructure using Terraform.

·        Good understanding of Azure networking and connectivity patterns.

·        Experience supporting:

Ø AKS

Ø Application Gateway

Ø Azure Traffic Manager

Ø Key Vault

Ø Azure Monitor / Log Analytics

Ø Managed Identities

Ø Service Principals

Ø Private Endpoints

Ø VNets, NSGs and Route Tables

Kubernetes / AKS

• Strong practical experience operating and supporting AKS.
• Ability to troubleshoot:

Ø Pod failures

Ø Ingress issues

Ø DNS issues

Ø SSL/TLS certificate issues

Ø Network routing issues

Ø Performance and availability incidents

• Experience with:

Ø Helm

Ø Ingress Controllers

Ø Cluster upgrades

Ø Scaling

Ø Monitoring

Terraform

·        Strong hands-on experience writing and maintaining Terraform.

·        Experience creating reusable modules.

·        Experience managing:

·        State files

·        Remote backends

·        Environment promotion

·        Infrastructure lifecycle

Linux & Scripting

·        Strong Linux administration fundamentals.

·        Practical experience troubleshooting production issues.

·        Bash scripting mandatory.

·        Python desirable.

Application Support / Troubleshooting

Must be comfortable supporting business applications end-to-end.

 Priority 2 – Highly Desirable

GitHub & DevOps Platform

Hands-on experience with:

·        GitHub Enterprise

·        GitHub Actions

·        Shared workflows

·        Reusable pipelines

·        Repository onboarding

·        Branch protections

·        GitHub security features

Experience supporting:

·        Runner issues

·        Disk space issues

·        Network connectivity issues

·        Dependency failures

·        Self-hosted runners lifecycle management

API Management

Pipeline failures

GitOps

Experience with:

·        ArgoCD

·        GitOps deployment models

·        Kubernetes deployment automation

Monitoring & Observability

Experience working with:

·        Prometheus

·        Grafana

·        Azure Monitor

·        Log Analytics

·        Application Insights

Location: Ahmedabad / WFO

Experience: 0–1 Year / Freshers

Internship: 6months ( leading to full-time employment )

About the Role

We are looking for a motivated DevOps Engineer Intern who is interested in Cloud, Automation, and Infrastructure. You will work with our engineering team on application deployments, cloud environments, CI/CD pipelines, and day-to-day DevOps activities.

What You'll Work On

• Work with Linux-based systems and perform basic troubleshooting.
• Use Git & GitHub for version control and team collaboration.
• Write basic Bash/Shell scripts to automate repetitive tasks.
• Work with Docker to build and run containerized applications.
• Assist with CI/CD pipelines and automated application deployments.
• Gain hands-on exposure to AWS, Azure, or GCP.
• Understand basic cloud networking, IAM, and security concepts.
• Troubleshoot deployment, application, and infrastructure issues.
• Maintain basic technical documentation and follow DevOps best practices.

Must-Have Skills

• Basic understanding of Linux.
• Hands-on knowledge of Git & GitHub.
• Basic Bash/Shell scripting.
• Understanding of Docker and containers.
• Basic understanding of at least one cloud platform (AWS/Azure/GCP).
• Understanding of CI/CD concepts.
• Basic networking concepts, including HTTP/HTTPS, DNS, ports, IP, and SSH.
• Good troubleshooting and problem-solving skills.
• Strong interest in DevOps, Cloud, and Automation.

Good to Have

• Hands-on experience with GitHub Actions.
• Basic knowledge of Terraform.
• Exposure to Kubernetes.
• Basic Python scripting.
• Personal DevOps/Cloud projects or a GitHub portfolio.
• AWS/Azure/GCP or DevOps certification.

Job Summary:

We are seeking a highly skilled and proactive DevOps Engineer with 4+ years of experience to join our dynamic team. This role requires strong technical expertise across cloud infrastructure, CI/CD pipelines, container orchestration, and infrastructure as code (IaC). The ideal candidate should also have direct client-facing experience and a proactive approach to managing both internal and external stakeholders.

Key Responsibilities:

• Collaborate with cross-functional teams and external clients to understand infrastructure requirements and implement DevOps best practices.
• Design, build, and maintain scalable cloud infrastructure on AWS (EC2, S3, RDS, ECS, etc.).
• Develop and manage infrastructure using Terraform or CloudFormation.
• Manage and orchestrate containers using Docker and Kubernetes (EKS).
• Implement and maintain CI/CD pipelines using Jenkins or GitHub Actions.
• Write robust automation scripts using Python and Shell scripting.
• Monitor system performance and availability, and ensure high uptime and reliability.
• Execute and optimize SQL queries for MSSQL and PostgreSQL databases.
• Maintain clear documentation and provide technical support to stakeholders and clients.
• 
  

Required Skills:

• Minimum 4+ years of experience in a DevOps or related role.
• Proven experience in client-facing engagements and communication.
• Strong knowledge of AWS services – EC2, S3, RDS, ECS, etc.
• Proficiency in Infrastructure as Code using Terraform or CloudFormation.
• Hands-on experience with Docker and Kubernetes (EKS).
• Strong experience in setting up and maintaining CI/CD pipelines with Jenkins or GitHub.
• Solid understanding of SQL and working experience with MSSQL and PostgreSQL.
• Proficient in Python and Shell scripting.
• 
  

Preferred Qualifications:

AWS Certifications (e.g., AWS Certified DevOps Engineer) are a plus.

Experience working in Agile/Scrum environments.

Strong problem-solving and analytical skills.

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most systems don’t fail because of one big outage.

They fail because reliability is treated as an afterthought.

Right now, uptime depends too much on individual heroics.

That doesn’t scale.

This role exists to build a reliability system where:

• Uptime is predictable
• Failures are contained
• Escalations don’t depend on leadership

What you’ll do

You will not just monitor systems.

You will own reliability as a product.

1. Drive uptime to production-grade reliability

• Improve system uptime to 99.9% customer-facing SLA within 4 months
• Define and track:
• SLAs / SLOs / error budgets
• Ensure reliability is measured from the customer’s perspective, not internal metrics

2. Build incident response as a system

• Set up a 24/7 incident response rotation across 3 engineers
• Eliminate dependency on leadership (no single escalation point)
• Define:
• Incident severity levels
• Response playbooks
• Escalation protocols
• Ensure fast detection → containment → resolution

3. Contain and fix erratic system behavior

• Identify and resolve:
• Latency spikes
• Downtime incidents
• Integration failures
• Build guardrails to prevent recurrence
• Focus on root cause elimination, not temporary fixes

4. Create continuous reliability feedback loops

• Work closely with engineering teams to:
• Surface recurring failure patterns
• Improve build quality
• Reduce production bugs
• Ensure learnings from incidents directly improve future releases

5. Improve observability and monitoring

• Build dashboards and alerts for:
• System health
• Performance metrics
• Failure signals
• Ensure issues are detected before customers report them

6. Reduce operational fragility

• Remove single points of failure (people, systems, workflows)
• Improve system resilience across:
• Deployments
• Integrations
• Runtime environments

What success looks like

• Uptime reaches 99.9%+ reliably
• Incidents are:
• Detected early
• Contained quickly
• Resolved permanently
• No dependency on a single individual for escalation
• System behavior becomes predictable and stable
• Engineering teams ship with higher reliability confidence

Who you are

• You have 2-5 years of experience in SRE / DevOps / backend systems
• You have worked on production systems with real uptime expectations
• You think in:
• Systems
• Failure modes
• Trade-offs
• You are comfortable debugging live, high-pressure environments

What will make you stand out

• Experience with:
• Distributed systems
• Cloud infrastructure (AWS / Azure / GCP)
• Monitoring & alerting tools
• Have built or improved:
• Incident response systems
• Reliability frameworks
• Strong debugging skills across:
• Infra
• Application
• Integrations

Compensation

₹60,000/month (fixed)

(Aligned with role scope and impact expectations)

Why join

• You will define reliability standards for a production AI platform
• Your work directly impacts:
• Customer trust
• Product performance
• Enterprise readiness
• You will move the system from reactive → predictable

What this role is not

• Not just monitoring dashboards
• Not limited to handling tickets
• Not dependent on escalation to leadership

What this role is

• A builder of reliability systems
• A guardian of uptime and performance
• A multiplier of engineering quality

One question to self-evaluate

Can you build a system where downtime is rare, predictable, and never dependent on a single person?

1. Develop and Deploy Software:
1. Architect and create an effective build and release process using industry best practices and tools
2. Create and manage build scripts to deploy software in a multi-cloud environment
3. Look for opportunities to automate as much of the deployment process as possible to provide for repeatability, auditability, scalability and build in process enforcement
2. Manage Release Schedule:
1. Act as a “gate keeper” for all releases into production
2. Work closely with business stakeholders, development managers and developers to prepare a release schedule
3. Help prioritize deployment requests for version upgrades, patches and hot-fixes
3. Continuous Delivery of Software:
1. Implement Continuous Integration (CI) practices to drive development teams to implement smaller changes and commit code to the version control repo frequently
2. Implement Continuous Development (CD) practices that automates deployment of the application to several environments – Dev, Test and Production
3. Implement Continuous Testing (functional and non-functional) to execute tests in the CI/CD pipeline
4. Manage Version Control:
1. Define and implement branching policies to efficiently manage source-code
2. Implement business rules as a part of source control standards
5. Resolve Software Issues:
1. Assist technical support and development teams to troubleshoot issues and identify areas that need improvement
2. Address deployment related issues
6. Maintain Release Documentation:
1. Maintain release notes (features available in stable versions and known issues) and other documents for both internal and external end users

Role Summary

In this role, you will lead the DevOps function at the organisation and work through all

facets of software development: design, prototype, implementation, testing and

documentation.

Responsibilities

• Design, prototype, implement, test and troubleshoot deployment strategies
• BS in Computer Science, Mathematics, Engineering or equivalent. MS or higher degree
• preferred.
• Design continuous integration and delivery pipelines using latest tools and platformsv
• Demonstrated understanding and hands-on experience in Kubernetes, K8s-Ingress,
• Docker, AWS EC2, VPC, Route53, ELB, RDS, MongoDB, Helm, Rancher, Jenkins,
• VPN, GKE.
• Create high level deployment design (HLSD) documents and outline software solutions
• Strong DevOps Management experience with focus on server-side development and
• database design
• Optimize application for maximum speed and scalability
• Strong understanding of web technologies, web services, communication protocols,
• (REST, SOAP API’s) and a proven track record in developing communication between
• desktop applications and web services
• Knowledge of Agile software development methodologies
• Cooperating with the back-end developer in the process of building the RESTful API

Qualification

• Experience with working on code enhancements within a large, complex software
• system
• Create server side deployment primarily in the Cloud, Collaboration space
• 10+ years of relevant experience in developing and managing web/app products.
• Experience with a few of these languages: Shell, Ruby/ JRuby, Python, PowerShell, Java,
• Go
• Hands-on experience in deploying and managing highly scalable cloud applications
• using AWS,Google Cloud
• Assure that all user input is validated before submitting to back-end
• Basic understanding of cloud security and hands on experience in building secure
• systems.
• Prepare accurate implementation task lists / time estimates and deliver assignments as
• per functional specifications, quality standards and project schedulesvvvv

Role 

We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead to identify and establish DevOps practices in the company.

You will also help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.

This would be a hybrid role and the person would be expected to also do some application level programming in their downtime.

Responsibilities

• Deployment, automation, management, and maintenance of production systems.
• Ensuring availability, performance, security, and scalability of production systems.
• Evaluation of new technology alternatives and vendor products.
• System troubleshooting and problem resolution across various application domains and platforms.
• Providing recommendations for architecture and process improvements.
• Definition and deployment of systems for metrics, logging, and monitoring on AWS platform.
• Manage the establishment and configuration of SaaS infrastructure in an agile way by storing infrastructure as code and employing automated configuration management tools with a goal to be able to re-provision environments at any point in time.
• Be accountable for proper backup and disaster recovery procedures.
• Drive operational cost reductions through service optimizations and demand based auto scaling.
• Have on call responsibilities.
• Perform root cause analysis for production errors
• Uses open source technologies and tools to accomplish specific use cases encountered within the project.
• Uses coding languages or scripting methodologies to solve a problem with a custom workflow.

Requirements

• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.

• Prior experience as a software developer in a couple of high level programming languages.

• Extensive experience in any Javascript based framework since we will be deploying services to NodeJS on AWS Lambda (Serverless)

• Extensive experience with web servers such as Nginx/Apache

• Strong Linux system administration background.
• Ability to present and communicate the architecture in a visual form.
• Strong knowledge of AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, NAT gateway, DynamoDB)
• Experience maintaining and deploying highly-available, fault-tolerant systems at scale (~ 1 Lakh users a day)
• A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
• Expertise with Git
• Experience implementing CI/CD (e.g. Jenkins, TravisCI)
• Strong experience with databases such as MySQL, NoSQL, Elasticsearch, Redis and/or Mongo.
• Stellar troubleshooting skills with the ability to spot issues before they become problems.
• Current with industry trends, IT ops and industry best practices, and able to identify the ones we should implement.
• Time and project management skills, with the capability to prioritize and multitask as needed.