DevOps Engineer (Startup Background) at Kodo · Mumbai · 3 - 6 years · ₹18L - ₹25L / yr · Raised funding · Posted 20 Aug 2025

Must Have -
a. Background working with Startups
b. Good knowledge of Kubernetes & Docker
c. Background working in Azure
What you’ll be doing
- Ensure that our applications and environments are stable, scalable, secure and performing as expected.
- Proactively engage and work in alignment with cross-functional colleagues to understand their requirements, contributing to and providing suitable supporting solutions.
- Develop and introduce systems to aid and facilitate rapid growth including implementation of deployment policies, designing and implementing new procedures, configuration management and planning of patches and for capacity upgrades
- Observability: ensure suitable levels of monitoring and alerting are in place to keep engineers aware of issues.
- Establish runbooks and procedures to keep outages to a minimum. Jump in before users notice that things are off track, then automate it for the future.
- Automate everything so that nothing is ever done manually in production.
- Identify and mitigate reliability and security risks. Make sure we are prepared for peak times,
- DDoS attacks and fat fingers.
- Troubleshoot issues across the whole stack - software, applications and network.
- Manage individual project priorities, deadlines, and deliverables as part of a self-organizing team.
- Learn and unlearn every day by exchanging knowledge and new insights, conducting constructive code reviews, and participating in retrospectives.
Requirements
- 2+ years extensive experience of Linux server administration include patching, packaging (rpm), performance tuning, networking, user management, and security.
- 2+ years of implementing systems that are highly available, secure, scalable, and self-healingon Azure cloud platform
- Strong understanding of networking, especially in cloud environments along with a good understanding of CICD.
- Prior experience implementing industry standard security best practices, including those recommended by Azure
- Proficiency with Bash, and any high-level scripting language.
- Basic working knowledge of observability stacks like ELK, prometheus, grafana, Signoz etc
- Proficiency with Infrastructure as Code and Infrastructure Testing, preferably using Pulumi/Terraform.
- Hands-on experience in building and administering VMs and Containers using tools such as Docker/Kubernetes.
- Excellent communication skills, spoken as well as written, with a demonstrated ability to articulate technical problems and projects to all stakeholders.

About Kodo
About
Connect with the team
Similar jobs (10)
Experience: 4+ Years
Job Title: DevOps Engineer / Cloud Engineer
Job Summary
We are looking for an experienced DevOps & Cloud Engineer with 4+ years of experience in cloud infrastructure management, Kubernetes administration, CI/CD pipeline automation, and containerization. The ideal candidate should have hands-on experience with Azure cloud services, Azure Kubernetes Service (AKS), Azure DevOps, Jenkins, Docker, Terraform, and infrastructure automation.
The candidate will be responsible for managing cloud environments, automating application deployments, maintaining Kubernetes clusters, monitoring system performance, and ensuring the reliability, scalability, security, and availability of applications across development, testing, and production environments.
Key Responsibilities
- Design, deploy, and manage cloud infrastructure using Microsoft Azure services, including Virtual Machines, Virtual Networks, Storage Accounts, Load Balancers, Key Vaults, and Resource Groups.
- Manage and administer Azure Kubernetes Service (AKS), Azure Arc-enabled Kubernetes, and Kubernetes clusters.
- Develop, configure, and maintain CI/CD pipelines using Azure DevOps and Jenkins for automated application builds, testing, and deployments.
- Containerize applications using Docker and deploy microservices-based applications on Kubernetes.
- Manage Kubernetes resources, including Pods, Deployments, StatefulSets, Services, Ingress, ConfigMaps, Secrets, and Namespaces.
- Automate infrastructure provisioning and configuration management using Terraform, Ansible, and Infrastructure as Code (IaC) practices.
- Implement Kubernetes networking, load balancing, Role-Based Access Control (RBAC), autoscaling, and resource optimization.
- Monitor infrastructure and application performance using Prometheus and Grafana.
- Troubleshoot application, deployment, networking, container, and infrastructure-related issues and perform root cause analysis.
- Implement disaster recovery procedures, backup validation, failover testing, patch management, and environment upgrades.
- Manage source code repositories, branching strategies, pull requests, code merges, and version control using Git, GitHub, and Azure Repos.
- Maintain cloud infrastructure security, compliance, governance, high availability, and operational reliability.
- Collaborate with development, infrastructure, and security teams to implement DevOps best practices and improve deployment efficiency.
Mandatory Technical Skills
- Cloud Platforms: Microsoft Azure, Azure Virtual Machines, Virtual Networks, Storage Accounts, Load Balancers, Key Vaults.
- Containerization & Orchestration: Docker, Kubernetes, Azure Kubernetes Service (AKS).
- CI/CD & Automation: Azure DevOps, Jenkins, CI/CD pipeline development and maintenance.
- Infrastructure as Code: Terraform; exposure to Ansible and automated configuration management.
- Monitoring & Version Control: Prometheus, Grafana, Git, GitHub, Azure Repos.
Preferred Skills
- Azure Arc-enabled Kubernetes.
- VMware Tanzu Kubernetes Grid (TKG).
- Kubernetes Service Mesh, Ingress Controllers, and Horizontal Pod Autoscaling (HPA).
- RHEL Linux administration and Shell Scripting.
- Groovy scripting and SQL fundamentals.
- Disaster recovery, incident management, and production support.
- Experience supporting microservices architectures and application migration activities.
Qualifications
- Bachelor’s degree in Engineering (B.E.) or an equivalent qualification.
- 4+ years of experience in DevOps engineering, cloud infrastructure, Kubernetes administration, and deployment automation.
- Strong troubleshooting, analytical, and problem-solving skills.
- Ability to work collaboratively with cross-functional teams and manage infrastructure-related incidents.
Key Deliverables
- Reliable, scalable, and secure cloud infrastructure.
- Automated and efficient CI/CD pipelines.
- Stable Kubernetes clusters and containerized application deployments.
- Reduced infrastructure provisioning and deployment time through automation.
- Effective monitoring, incident resolution, and disaster recovery readiness.
Job Summary
We are looking for an experienced DevOps Engineer with strong expertise in Linux administration, CI/CD automation, containerization, Kubernetes, cloud platforms, and Infrastructure as Code (IaC). The candidate should have experience in observability, DevSecOps practices, networking, AIOps, and certificate and secret management.
Mandatory Skills
- Strong experience in Linux administration and troubleshooting.
- Hands-on experience with Git and version control systems.
- Strong knowledge of CI/CD pipelines and automation.
- Experience with Docker and containerization.
- Hands-on experience with Kubernetes and/or OpenShift.
- Cloud experience with AWS and/or Microsoft Azure.
- Infrastructure as Code (IaC) using Terraform.
- Scripting experience using Python and Shell scripting.
- Monitoring and observability tools such as Prometheus, Grafana, AppDynamics, and Splunk.
Additional Skills
- Knowledge of DevSecOps practices and security integration into CI/CD pipelines.
- Understanding of networking concepts and troubleshooting.
- Exposure to AIOps and intelligent monitoring solutions.
- Experience with certificate management and secrets management.
- Knowledge of infrastructure automation, deployment, and performance monitoring.
- Strong troubleshooting, problem-solving, and collaboration skills.
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines for automated build and deployment processes.
- Manage and troubleshoot Linux systems, Docker containers, and Kubernetes/OpenShift environments.
- Automate infrastructure provisioning and configuration using Terraform.
- Manage cloud infrastructure across AWS and/or Azure.
- Develop automation scripts using Python and Shell.
- Implement monitoring, logging, and observability solutions.
- Integrate security practices into DevOps workflows and CI/CD pipelines.
- Manage certificates, secrets, and secure access to infrastructure and applications.
- Troubleshoot infrastructure, application, networking, and deployment issues.
- Improve system reliability, scalability, security, and operational efficiency.
Build production-grade cloud infrastructure that powers enterprise applications with cutting-edge DevOps practices.
What you'll do:
- Design CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)
- Containerize apps with Docker, deploy on Kubernetes clusters
- Manage infrastructure as code (Terraform, CloudFormation)
- Set up monitoring (Prometheus, Grafana, ELK Stack)
- Cloud migrations (AWS EC2, EKS, RDS → GCP equivalent)
- Optimize costs and performance for live production systems
What we need:
- Basic Python/Bash scripting
- Docker basics, Git workflows
- Cloud exposure (AWS/GCP/Azure free tier projects)
- Problem-solving mindset, eagerness to learn
Real impact:
- Deploy apps used by 1000+ daily users
- Work with senior DevOps engineers on client deliverables
- Build portfolio for FAANG-level interviews
IT professional with approximately 4 year experience. Expert in production support, application support, aws, application support devops engineer, linux, docker, github, jenkins, maven, tomcat server, kubernetes.
Job Description
The engineer will provide direct support to service development teams using the platform and maintain/develop platform components across CI pipelines, tool integrations, deployment architecture, monitoring, documentation, and self-service initiatives.
Responsibilities
- Support onboarding and technical discussions with development teams.
- Provide technical guidance and documentation.
- Support development engineers on CI/CD pipelines, deployments, logging and monitoring.
- Improve platform code, processes and documentation.
- Provide production infrastructure/operations support, including on-call support.
- Research product requirements and new technology rollouts.
Core Mandatory Skills
Kubernetes / Amazon EKS, Terraform, Terragrunt, AWS Cloud, Docker, CI/CD Pipelines, GitOps, Python / Go / Java, Cloud Operations / DevOps, Logging / Monitoring / Tracing, Incident Management
Devops + Python
Mandatory: Python+Kubernetes Containerisation+ DevOps Exposure+ Cloud Exposure(any)
4-8 years /16 LPA
10+ years /26 LPA
Bangalore/Hyderabad
immediate to 15 days.
Job Title : DevOps Engineer
Experience : 7+ Years
Working Hours : 3:30 AM – 11:30 AM ET
Duration : 12–18 Months
Engagement : Contract
Freelance : Not Applicable
BGV : Required
Role Overview :
We are looking for an experienced DevOps Engineer to design, implement, and optimize DevOps practices, CI/CD pipelines, deployment automation, and cloud-native delivery platforms. The role will focus on enabling secure, reliable, and efficient software delivery while improving infrastructure automation, release processes, platform reliability, and operational resilience.
Mandatory Skills :
DevOps, CI/CD, Azure DevOps / GitHub Actions, Kubernetes, Docker, PowerShell / Python / Bash, Automation, Monitoring & Observability, DevSecOps, IaC, Troubleshooting, and Production Support.
Key Responsibilities :
- Design, build, and maintain CI/CD pipelines for enterprise application delivery and release management.
- Develop deployment automation frameworks to improve release quality, consistency, scalability, and efficiency.
- Administer Kubernetes and containerized environments and supporting orchestration platforms.
- Improve build, test, deployment, and release workflows for development teams.
- Integrate automated testing, security scanning, validation, and compliance controls into CI/CD pipelines.
- Implement monitoring, logging, alerting, and observability solutions for platform and application environments.
- Troubleshoot deployment failures, production issues, and platform incidents; perform root cause analysis.
- Develop automation scripts and tools using PowerShell, Python, Bash, or similar technologies.
- Implement Infrastructure as Code and automation practices to reduce manual effort and operational risk.
- Collaborate with Cloud, Infrastructure, Security, and Application teams to deliver scalable and resilient solutions.
- Maintain deployment standards, release procedures, technical documentation, and operational runbooks.
- Apply DevOps, DevSecOps, and SRE best practices to improve delivery speed and platform reliability.
- Evaluate emerging DevOps technologies and recommend improvements.
- Mentor team members on DevOps methodologies, automation, and platform engineering practices.
- Act as an escalation point for critical deployment, infrastructure, and platform issues.
Required Technical Skills :
1. DevOps & CI/CD :
- 7+ years of experience in DevOps, Platform Engineering, Infrastructure Engineering, or Software Engineering.
- Strong experience designing and supporting CI/CD pipelines and release management.
- Hands-on experience with Azure DevOps, GitHub, GitHub Actions, or equivalent platforms.
- Strong understanding of Git, branching strategies, release management, and deployment methodologies.
2. Containers & Cloud :
- Strong hands-on experience with Kubernetes and Docker/containerization.
- Understanding of cloud-native application architectures and distributed systems.
- Experience supporting production-grade containerized environments.
3. Automation & IaC :
- Strong proficiency in PowerShell, Python, Bash, or similar scripting languages.
- Experience developing automation frameworks and deployment tooling.
- Knowledge of Infrastructure as Code (IaC) concepts.
- Experience with Terraform, Bicep, or similar tools is preferred.
4. Monitoring & Reliability :
- Experience with monitoring, logging, observability, and alerting.
- Strong troubleshooting and root cause analysis skills.
- Experience supporting highly available and resilient production systems.
- Knowledge of SRE practices is preferred.
5. Security & DevSecOps :
- Understanding of DevSecOps and secure software delivery practices.
- Experience integrating vulnerability scanning, security controls, and compliance checks into CI/CD pipelines.
- Knowledge of IAM, secrets management, and access control within DevOps environments.
Preferred Qualifications :
- Hands-on experience with Microsoft Azure.
- Experience with Terraform/Bicep or other IaC tools.
- Knowledge of SRE and platform engineering practices.
- Relevant Azure, Kubernetes, Cloud, or DevOps certifications.
About the company:
We empower US healthcare payers with a truly next-generation, cloud-native, holistic, and customizable platform designed to prevent and adapt to the ever-evolving inaccuracies in healthcare claims and payments. By reducing complexity and administrative costs, we offer a unified, healthcare-dedicated platform backed by top VCs like BeeNext, 3One4 Capital, and Saison Capital.
Position Overview:
We are looking for an experienced DevOps Engineer to join our team in Bengaluru. In this role, you will be responsible for building, optimizing, and maintaining scalable, secure, and highly available multi-cloud infrastructure that supports our engineering teams. The ideal candidate brings strong hands-on experience with Kubernetes, Infrastructure as Code (Terraform), and robust monitoring/observability stacks to enable seamless, reliable, and automated deployments.
Key Responsibilities:
- Container Orchestration: Deploy, scale, and manage containerized workloads on Kubernetes (EKS, AKS, and GKE).
- Infrastructure as Code (IaC): Build and maintain modular, reusable, and version-controlled infrastructure using Terraform across AWS, Azure, and GCP.
- Monitoring & Observability: Set up, manage, and optimize monitoring, logging, and alerting stacks (e.g., Prometheus, Grafana, ELK/EFK, Loki, Datadog).
- CI/CD Pipeline Management: Own, improve, and automate CI/CD pipelines to enable fast, reliable, and frictionless software releases.
- System Reliability & SRE Practices: Implement best practices for system reliability, including defining SLIs/SLOs, managing incident response, and participating in on-call support.
- Troubleshooting & Support: Diagnose and resolve complex production issues across infrastructure, networking, and application layers.
- Security & Compliance: Implement infrastructure security best practices, including IAM policies, secrets management, and network security.
- Automation: Eliminate repetitive operational tasks by writing clean, efficient scripts in Python, Bash, or Go.
- Operations & Planning: Participate in capacity planning, cost optimization, disaster recovery, and infrastructure scaling initiatives while maintaining clear documentation and runbooks.
Requirements :
- Solid working experience with cloud providers, specifically AWS, Azure, or GCP.
- Strong understanding of containerization (Docker) and container orchestration concepts.
- Familiarity with Linux system administration and networking fundamentals.
- Experience with version control systems (Git) and GitOps workflows (ArgoCD/Flux is a plus).
- Strong problem-solving skills and the ability to thrive in a fast-paced, collaborative environment.
Qualifications :
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related technical field (or equivalent practical experience)
Key Skills:
- The ideal candidate must possess deep expertise in container orchestration, specifically hands-on experience managing Kubernetes ecosystems—including Helm charts, cluster networking, and RBAC policies—alongside a foundational mastery of Docker containerization.
- Proficiency in managing cloud architecture as software is essential, with a heavy emphasis on Terraform execution, including advanced module creation, state management, and multi-environment workspaces.
- A strong capability to implement full-stack visibility is required, utilizing tools like Prometheus, the Grafana LGMT stack, ELK/EFK, or Loki to build highly optimized monitoring, alerting, and logging systems.
- Candidates should have a proven track record of constructing and scaling automated deployment pipelines using industry-standard platforms such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps to minimize release friction. .
- Strong core programming fundamentals are required to automate repetitive infrastructure tasks, with practical proficiency in Python, Bash, or Go.
- Familiarity with cutting-edge cloud-native technologies is highly desirable, including enterprise service meshes (Istio, Linkerd), comprehensive cloud security frameworks (HashiCorp Vault, OPA, Trivy), and a data-driven approach to cloud cost management and FinOps practices.
Work Location: Jayanagar - Bangalore.
Work Mode: Work from Office, hybrid- 3 days WFO
Note: We are looking for immediate joiners & Bangalore Candidates only
Benefits:
- Best-in-class compensation
- Health insurance for Family
- Personal Accident Insurance
- Friendly and Flexible Leave Policy
- Certification and Course Reimbursement
- Medical Coding CEUs and Membership Renewals
- Health checkup
- And many more!
Key Responsibilities
- Automate application deployments from Bitbucket to servers using CI/CD pipelines.
- Design and manage scalable, highly available AWS infrastructure.
- Implement Auto Scaling, ELB, and Route 53 for traffic management and high availability.
- Work with AWS services including IAM, RDS, DynamoDB, EC2, and other cloud services.
- Build and manage Docker containers and server images.
- Deploy and manage applications using Kubernetes.
- Implement Infrastructure as Code using Terraform, CloudFormation, or Ansible.
- Develop automation scripts using Python and Bash.
- Implement monitoring and logging using tools such as Prometheus, Grafana, and ELK.
- Integrate security and compliance practices into CI/CD pipelines.
- Optimize infrastructure for security, scalability, performance, and cost.
Required Skills
- 3+ years of experience in DevOps or a similar role.
- Strong knowledge of AWS beyond EC2.
- Hands-on experience with Jenkins or similar CI/CD tools.
- Experience with Docker and Kubernetes.
- Good understanding of Terraform/IaC and automation.
- Proficiency in Python and/or Bash scripting.
- Knowledge of DevSecOps, security, and compliance best practices.
- Strong troubleshooting and problem-solving skills.
Role Overview
We are looking for a DevOps / Platform Engineer with 3–4 years of experience to help manage AWS cloud infrastructure, automation, and AI-ready platform operations. You will work closely with engineering and AI teams to ensure scalable, secure, and reliable deployments.
Key Responsibilities
- AWS & Infrastructure: Manage core AWS services (EC2, EKS, Lambda, RDS, S3, VPC) using Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
- AI/ML Workflows: Support infra for AI applications, model serving, vector databases, and GPU-based workloads.
- CI/CD & Automation: Build and maintain deployment pipelines using GitHub Actions, GitLab CI, or Jenkins.
- Containers & Kubernetes: Deploy and maintain containerized applications using Docker and Kubernetes (EKS) or ECS.
- Observability & Incident Support: Maintain dashboards and alerts with CloudWatch, Prometheus, or Grafana, and participate in on-call response.
- Security & FinOps: Apply AWS security best practices (IAM, encryption, secrets) and assist with cloud cost optimization.
Must-Have Skills & Qualifications
- 3–4 years of experience in DevOps, SRE, or Cloud Infrastructure Engineering.
- AWS & Containers: Good working knowledge of core AWS services, Docker, and Kubernetes (EKS).
- Infrastructure-as-Code: Practical experience with Terraform, CloudFormation, or AWS CDK.
- Linux & Networking: Solid fundamentals in Linux systems, DNS, routing, and load balancing.
- Scripting: Hands-on scripting proficiency in Python, Bash, or Go.
- CI/CD & Observability: Experience building CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins) and using monitoring tools (CloudWatch, Prometheus, Grafana, or Datadog).
Nice-to-Have Skills
- Basic exposure to AI/ML infrastructure, model serving, or GPU-based compute.
- Experience with event-driven messaging systems (Kafka, Redis, or SQS).
- Familiarity with GitOps tools and Helm (ArgoCD, Flux, or OpenTelemetry).
- AWS Certifications (Solutions Architect Associate, SysOps Administrator, or DevOps Engineer).











