DevOps Engineer

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?

∙Need 8+ years of experience in Devops CICD 

∙Managing large-scale AWS deployments using Infrastructure as Code (IaC) and k8s developer tools 

∙Managing build/test/deployment of very large-scale systems, bridging between developers and live stacks 

∙Actively troubleshoot issues that arise during development and production 

∙Owning, learning, and deploying SW in support of customer-facing applications 

∙Help establish DevOps best practices 

∙Actively work to reduce system costs 

∙Work with open-source technologies, helping to ensure robustness and secureness of said technologies 

∙Actively work with CI/CD, GIT and other component parts of the build and deployment system 

∙Leading skills with AWS cloud stack 

∙Proven implementation experience with Infrastructure as Code (Terraform, Terragrunt, Flux, Helm charts) 

at scale 

∙Proven experience with Kubernetes at scale 

∙Proven experience with cloud management tools beyond AWS console (k9s, lens) 

∙Strong communicator who people want to work with – must be thought of as the ultimate collaborator 

∙Solid team player 

∙Strong experience with Linux-based infrastructures and AWS 

∙Strong experience with databases such as MySQL, Redshift, Elasticsearch, Mongo, and others 

∙Strong knowledge of JavaScript, GIT 

∙Agile practitioner 

Candidate must be from a product-based company with experience handling large-scale production traffic.

2. Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant

3. Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members atleast)

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

5. Candidate must have Self experience in database migration from scratch

6. Must have a firm hold on the container orchestration tool Kubernetes

7. Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet

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

9. Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

10. Working experience on Cloud platform -AWS

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

We seek a skilled and motivated Azure DevOps engineer to join our dynamic team. The ideal candidate will design, implement, and manage CI/CD pipelines, automate deployments, and optimize cloud infrastructure using Azure DevOps tools and services. You will collaborate closely with development and IT teams to ensure seamless integration and delivery of software solutions in a fast-paced environment.

Responsibilities:

• Design, implement, and manage CI/CD pipelines using Azure DevOps.
• Automate infrastructure provisioning and deployments using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Azure CLI.
• Monitor and optimize Azure environments to ensure high availability, performance, and security.
• Collaborate with development, QA, and IT teams to streamline the software development lifecycle (SDLC).
• Troubleshoot and resolve issues related to build, deployment, and infrastructure.
• Implement and manage version control systems, primarily using Git.
• Manage containerization and orchestration using tools like Docker and Kubernetes.
• Ensure compliance with industry standards and best practices for security, scalability, and reliability.

DevOps Architect 

Experience:  10 - 12+ year relevant experience on DevOps
Locations : Bangalore, Chennai, Pune, Hyderabad, Jaipur.

Qualification:
• Bachelors or advanced degree in Computer science, Software engineering or equivalent is required.
• Certifications in specific areas are desired

Technical Skillset: Skills Proficiency level

• Build tools (Ant or Maven) - Expert
• CI/CD tool (Jenkins or Github CI/CD) - Expert
• Cloud DevOps (AWS CodeBuild, CodeDeploy, Code Pipeline etc) or Azure DevOps. - Expert
• Infrastructure As Code (Terraform, Helm charts etc.) - Expert
• Containerization (Docker, Docker Registry) - Expert
• Scripting (linux) - Expert
• Cluster deployment (Kubernetes) & maintenance - Expert
• Programming (Java) - Intermediate
• Application Types for DevOps (Streaming like Spark, Kafka, Big data like Hadoop etc) - Expert
• Artifactory (JFrog) - Expert
• Monitoring & Reporting (Prometheus, Grafana, PagerDuty etc.) - Expert
• Ansible, MySQL, PostgreSQL - Intermediate

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

Roles and Responsibilities

• 5 - 8 years of experience in Infrastructure setup on Cloud, Build/Release Engineering, Continuous Integration and Delivery, Configuration/Change Management.
• Good experience with Linux/Unix administration and moderate to significant experience administering relational databases such as PostgreSQL, etc.
• Experience with Docker and related tools (Cassandra, Rancher, Kubernetes etc.)
• Experience of working in Config management tools (Ansible, Chef, Puppet, Terraform etc.) is a plus.
• Experience with cloud technologies like Azure
• Experience with monitoring and alerting (TICK, ELK, Nagios, PagerDuty)
• Experience with distributed systems and related technologies (NSQ, RabbitMQ, SQS, etc.) is a plus
• Experience with scaling data store technologies is a plus (PostgreSQL, Scylla, Redis) is a plus
• Experience with SSH Certificate Authorities and Identity Management (Netflix BLESS) is a plus
• Experience with multi-domain SSL certs and provisioning a plus (Let's Encrypt) is a plus
• Experience with chaos or similar methodologies is a plus

A strong background in Azure OR Amazon Web Services (AWS) or a similar cloud platform is a must-have, certification is a plus.

Excellent technical skills and knowledge include but not limited to: cloud methodologies like PaaS and SaaS; programming languages such as Python, Java, .Net; orchestration systems such as Chef, Ansible, Terraform; Azure IaaS servers; PowerShell scripting.

Fully aware of the DevOps cycle with hands-on on deployment models to the cloud.

Experience working with Docker and related containerization technologies.

Experience working on orchestration platforms such as AKS, RedHat OpenShift etc.

Extensive knowledge working with logging and monitoring tools such as EFK, visualization tools such as Grafana and Prometheus.

Exposure to security alert monitoring tools.