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?

Job Title : DevOps Engineer

Experience : 3+ Years

Location : Indiranagar, Bengaluru (Work From Office – 5 Days)

Employment Type : Full-Time

Work Timings : 11:00 AM to 7:00 PM IST

Notice Period : Immediate Joiners Preferred

Role Overview :

We are seeking a skilled DevOps Engineer with 3+ years of experience in building and managing scalable cloud-native infrastructure.

The ideal candidate will have strong expertise in Kubernetes and Helm, along with hands-on experience in deploying and maintaining production-grade systems on cloud platforms.

This role offers an opportunity to work in a high-growth startup environment, contributing to both existing systems and new infrastructure development.

Key Responsibilities :

• Design, deploy, and manage scalable infrastructure using Kubernetes.
• Build and maintain CI/CD pipelines for efficient and automated deployments.
• Manage and optimize cloud environments (preferably GCP).
• Implement Infrastructure as Code using Helm/Terraform.
• Monitor system performance and ensure high availability and reliability.
• Handle bug fixes, system improvements, and performance optimization.
• Collaborate with engineering teams to design scalable microservices architecture.
• Implement logging, monitoring, and alerting solutions.
• Ensure security best practices including IAM, secrets management, and network policies.

Mandatory Skills :

• Strong hands-on experience with Kubernetes.
• Expertise in Helm Charts.
• Experience with Google Cloud Platform (GCP).
• Hands-on experience with ArgoCD or similar CI/CD tools.
• Knowledge of CI/CD tools like Jenkins, GitHub Actions, GitLab CI.
• Experience in database hosting and scaling.

Nice to Have :

• Exposure to other cloud platforms (AWS/Azure).
• Experience with modern DevOps and automation tools.
• Ability to quickly learn and adapt to new technologies.

Team & Work Scope :

• No dedicated DevOps team currently – high ownership role.
• Work on both existing systems (maintenance & improvements) and new system builds (greenfield projects).
• Opportunity to shape DevOps practices and infrastructure from scratch.

Preferred Candidate Profile :

• 3+ years of relevant DevOps experience.
• Strong problem-solving and debugging skills.
• Experience working in fast-paced startup environments.
• Understanding of scalability, security, and performance optimization.
• Good communication and collaboration skills.

Hiring Process :

1. Profile Screening
2. GT Assessment
3. Technical Interview – Round 1
4. Technical Interview – Round 2
5. Final Round (if required with US team)

What you’ll be doing at Novo:

● Systems thinking
● Creating best practices, templates, and automation for build, test, integration and
deployment pipelines on multiple projects
● Designing and developing tools for easily creating and managing dev/test infrastructure
and services in AWS cloud
● Providing expertise and guidance on CI/CD, Github, and other development tools via
containerization
● Monitoring and support systems in Dev, UAT and production environments
● Building mock services and production-like data sources for use in development and
testing
● Managing Github integrations, feature flag systems, code coverage tools, and other
development & monitoring tools tools
● Participating in support rotations to help troubleshoot to infrastructure issues

● Creating and working with containers, as well as using container orchestration tools
(Kubernetes / Docker)
● AWS: S3, EKS, EC2, RDS, Route53, VPC etc.
● Fair understanding of Linux
● Good knowledge of CI/CD : Jenkins / CircleCI / Github Actions
● Basic level of monitoring
● Support for Deployment along with various Web Servers and Linux environments , both
backend and frontend.

About the role:

We are seeking a highly skilled Azure DevOps Engineer with a strong background in backend development to join our rapidly growing team. The ideal candidate will have a minimum of 4 years of experience and has have extensive experience in building and maintaining CI/CD pipelines, automating deployment processes, and optimizing infrastructure on Azure. Additionally, expertise in backend technologies and development frameworks is required to collaborate effectively with the development team in delivering scalable and efficient solutions.

Responsibilities

• Collaborate with development and operations teams to implement continuous integration and deployment processes.
• Automate infrastructure provisioning, configuration management, and application deployment using tools such as Ansible, and Jenkins.
• Design, implement, and maintain Azure DevOps pipelines for continuous integration and continuous delivery (CI/CD)
• Develop and maintain build and deployment pipelines, ensuring that they are scalable, secure, and reliable.
• Monitor and maintain the health of the production infrastructure, including load balancers, databases, and application servers.
• Automate the software development and delivery lifecycle, including code building, testing, deployment, and release.
• Familiarity with Azure CLI, Azure REST APIs, Azure Resource Manager template, Azure billing/cost management and the Azure Management Console
• Must have experience of any one of the programming language (Java, .Net, Python )
• Ensure high availability of the production environment by implementing disaster recovery and business continuity plans.
• Build and maintain monitoring, alerting, and trending operational tools (CloudWatch, New Relic, Splunk, ELK, Grafana, Nagios).
• Stay up to date with new technologies and trends in DevOps and make recommendations for improvements to existing processes and infrastructure.
• ontribute to backend development projects, ensuring robust and scalable solutions.
• Work closely with the development team to understand application requirements and provide technical expertise in backend architecture.
• Design and implement database schemas.
• Identify and implement opportunities for performance optimization and scalability of backend systems.
• Participate in code reviews, architectural discussions, and sprint planning sessions.
• Stay updated with the latest Azure technologies, tools, and best practices to continuously improve our development and deployment processes.
•  
• Mentor junior team members and provide guidance and training on best practices in DevOps.

Required Qualifications

• BS/MS in Computer Science, Engineering, or a related field
• 4+ years of experience as an Azure DevOps Engineer (or similar role) with experience in backed development.
• Strong understanding of CI/CD principles and practices.
• Expertise in Azure DevOps services, including Azure Pipelines, Azure Repos, and Azure Boards.
• Experience with infrastructure automation tools like Terraform or Ansible.
• Proficient in scripting languages like PowerShell or Python.
• Experience with Linux and Windows server administration.
• Strong understanding of backend development principles and technologies.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Problem-solving and analytical skills.
• Experience with industry frameworks and methodologies: ITIL/Agile/Scrum/DevOps
• Excellent problem-solving, critical thinking, and communication skills.
• Have worked in a product based company.

What we offer:

• Competitive salary and benefits package
• Opportunity for growth and advancement within the company
• Collaborative, dynamic, and fun work environment
• Possibility to work with cutting-edge technologies and innovative projects

Not just a delivery company…

RaRa Delivery is revolutionising instant delivery for e-commerce in Indonesia through data driven logistics.

RaRa Delivery is making instant and same-day deliveries scalable and cost-effective by leveraging a differentiated operating model and real-time optimisation technology. RaRa makes it possible for anyone, anywhere to get same day delivery in Indonesia. While others are focusing on ‘one-to-one’ deliveries, the company has developed proprietary, real-time batching tech to do ‘many-to-many’ deliveries within a few hours.. RaRa is already in partnership with some of the top eCommerce players in Indonesia like Blibli, Sayurbox, Kopi Kenangan and many more.

We are a distributed team with the company headquartered in Singapore 🇸🇬 , core operations in Indonesia 🇮🇩 and technology team based out of India 🇮🇳

Future of eCommerce Logistics.

• Data driven logistics company that is bringing in same day delivery revolution in Indonesia 🇮🇩
• Revolutionising delivery as an experience
• Empowering D2C Sellers with logistics as the core technology

• Build and maintain CI/CD tools and pipelines.
• Designing and managing highly scalable, reliable, and fault-tolerant infrastructure & networking that forms the backbone of distributed systems at RaRa Delivery.
• Continuously improve code quality, product execution, and customer delight.
• Communicate, collaborate and work effectively across distributed teams in a global environment.
• Operate to strengthen teams across their product with their knowledge base
• Contribute to improving team relatedness, and help build a culture of camaraderie.
• Continuously refactor applications to ensure high-quality design
• Pair with team members on functional and non-functional requirements and spread design philosophy and goals across the team
• Excellent bash, and scripting fundamentals and hands-on with scripting in programming languages such as Python, Ruby, Golang, etc.
• Good understanding of distributed system fundamentals and ability to troubleshoot issues in a larger distributed infrastructure
• Working knowledge of the TCP/IP stack, internet routing, and load balancing
• Basic understanding of cluster orchestrators and schedulers (Kubernetes)
• Deep knowledge of Linux as a production environment, container technologies. e.g. Docker, Infrastructure As Code such as Terraform, K8s administration at large scale.
• Have worked on production distributed systems and have an understanding of microservices architecture, RESTful services, CI/CD.

• Experience using AWS (that’s just common sense)
• Experience designing and building web environments on AWS, which includes working with services like EC2, ELB, RDS, and S3
• Experience building and maintaining cloud-native applications
• A solid background in Linux/Unix and Windows server system administration
• Experience using https://www.simplilearn.com/tutorials/devops-tutorial/devops-tools" target="_blank">DevOps tools in a cloud environment, such as Ansible, Artifactory, https://www.simplilearn.com/tutorials/docker-tutorial/what-is-docker-container" target="_blank">Docker, GitHub, https://www.simplilearn.com/tutorials/jenkins-tutorial/what-is-jenkins" target="_blank">Jenkins, https://www.simplilearn.com/tutorials/kubernetes-tutorial/what-is-kubernetes" target="_blank">Kubernetes, Maven, and Sonar Qube
• Experience installing and configuring different application servers such as JBoss, Tomcat, and WebLogic
• Experience using monitoring solutions like CloudWatch, ELK Stack, and Prometheus
• An understanding of writing Infrastructure-as-Code (IaC), using tools like CloudFormation or Terraform
• Knowledge of one or more of the most-used programming languages available for today’s cloud computing (i.e., SQL data, XML data, R math, Clojure math, Haskell functional, Erlang functional, Python procedural, and Go procedural languages)
• Experience in troubleshooting distributed systems
• Proficiency in script development and scripting languages
• The ability to be a team player
• The ability and skill to train other people in procedural and technical topics
• Strong communication and collaboration skills

As a special aside, an AWS engineer who works in DevOps should also have experience with:

• The theory, concepts, and real-world application of Continuous Delivery (CD), which requires familiarity with tools like AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline
• An understanding of automation

Job Dsecription:

○ Develop best practices for team and also responsible for the architecture

○ solutions and documentation operations in order to meet the engineering departments quality and standards

○ Participate in production outage and handle complex issues and works towards Resolution

○ Develop custom tools and integration with existing tools to increase engineering Productivity

Required Experience and Expertise

○ Having a good knowledge of Terraform + someone who has worked on large TF code bases.

○ Deep understanding of Terraform with best practices & writing TF modules.

○ Hands-on experience of GCP  and AWS and knowledge on AWS Services like VPC and VPC related services like (route tables, vpc endpoints, privatelinks) EKS, S3, IAM. Cost aware mindset towards Cloud services.

○ Deep understanding of Kernel, Networking and OS fundamentals

NOTICE PERIOD - Max - 30 days