Senior DevOps Engineer

Job Specification:

Work Experience: 7 to 10 Years

Work Location:  Bangalore

Mode of Employment: Permanent

Education Qualification required: Any Degree

Job Description:

We are looking for an experienced DevOps Engineer with strong expertise in Linux, CI/CD, containerization, cloud platforms, Infrastructure as Code (IaC), and observability. The ideal candidate should have hands-on experience with Kubernetes, OpenShift, Terraform, scripting, DevSecOps, and modern monitoring practices.

Responsibilities:

• Manage and maintain Linux-based systems, cloud infrastructure, and production environments.
• Develop, maintain, and optimize CI/CD pipelines using Git and related automation tools.
• Deploy and manage containerized applications using Docker, Kubernetes (K8s), and OpenShift.
• Provision and manage cloud infrastructure on AWS and/or Microsoft Azure.
• Automate infrastructure provisioning and configuration using Terraform.
• Develop automation scripts using Python and Shell scripting.
• Implement observability and monitoring solutions using Prometheus, Grafana, AppDynamics, and Splunk.
• Troubleshoot production incidents, perform root cause analysis (RCA), and improve system reliability and availability.
• Implement DevSecOps practices, security controls, and vulnerability management across CI/CD pipelines.
• Manage cloud networking, connectivity, and infrastructure-related configurations.
• Support AIOps initiatives to improve incident detection, analysis, and operational efficiency.
• Manage SSL/TLS certificates, secrets, and secure credential rotation.

Required Skills:

• Strong hands-on experience with Linux.
• Good knowledge of Git and CI/CD pipelines.
• Experience with Docker, Kubernetes (K8s), and/or OpenShift.
• Working experience with AWS and/or Microsoft Azure.
• Hands-on experience with Terraform and Infrastructure as Code (IaC).
• Scripting knowledge in Python and/or Shell.
• Experience with Prometheus, Grafana, AppDynamics, and/or Splunk.
• Knowledge of DevSecOps, networking, and cloud security fundamentals.
• Understanding of AIOps concepts and automated operations.
• Experience with certificate lifecycle management and secrets management.

We are looking for an experienced DevOps Engineer with strong expertise in Linux, CI/CD, containerization, cloud platforms, Infrastructure as Code (IaC), and observability. The ideal candidate should have hands-on experience with Kubernetes, OpenShift, Terraform, scripting, DevSecOps, and modern monitoring practices.

Responsibilities:

• Manage and maintain Linux-based systems, cloud infrastructure, and production environments.
• Develop, maintain, and optimize CI/CD pipelines using Git and related automation tools.
• Deploy and manage containerized applications using Docker, Kubernetes (K8s), and OpenShift.
• Provision and manage cloud infrastructure on AWS and/or Microsoft Azure.
• Automate infrastructure provisioning and configuration using Terraform.
• Develop automation scripts using Python and Shell scripting.
• Implement observability and monitoring solutions using Prometheus, Grafana, AppDynamics, and Splunk.
• Troubleshoot production incidents, perform root cause analysis (RCA), and improve system reliability and availability.
• Implement DevSecOps practices, security controls, and vulnerability management across CI/CD pipelines.
• Manage cloud networking, connectivity, and infrastructure-related configurations.
• Support AIOps initiatives to improve incident detection, analysis, and operational efficiency.
• Manage SSL/TLS certificates, secrets, and secure credential rotation.

Required Skills:

• Strong hands-on experience with Linux.
• Good knowledge of Git and CI/CD pipelines.
• Experience with Docker, Kubernetes (K8s), and/or OpenShift.
• Working experience with AWS and/or Microsoft Azure.
• Hands-on experience with Terraform and Infrastructure as Code (IaC).
• Scripting knowledge in Python and/or Shell.
• Experience with Prometheus, Grafana, AppDynamics, and/or Splunk.
• Knowledge of DevSecOps, networking, and cloud security fundamentals.
• Understanding of AIOps concepts and automated operations.
• Experience with certificate lifecycle management and secrets management.

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!

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.

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.

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 Summary:

We are looking for an experienced SRE DevOps Engineer with strong hands-on experience in cloud infrastructure, container orchestration, infrastructure automation, and CI/CD pipelines. The candidate should have expertise in Terraform, Kubernetes, Docker, scripting, and cloud platforms to build, deploy, and maintain scalable and reliable infrastructure.

Key Responsibilities:

• Design, implement, and maintain CI/CD pipelines for application deployment.
• Manage and automate infrastructure provisioning using Terraform.
• Deploy, configure, and manage containerized applications using Docker and Kubernetes.
• Work with cloud platforms such as AWS, Azure, or GCP.
• Develop automation scripts using Python, Bash, or Shell scripting.
• Implement Infrastructure as Code (IaC) practices for consistent and repeatable deployments.
• Configure monitoring and observability tools to track system performance and availability.
• Optimize infrastructure performance, scalability, and resource utilization.
• Collaborate with development teams to improve deployment workflows and operational efficiency.

Mandatory Skills:

• SRE / DevOps Engineering
• Terraform and Infrastructure as Code (IaC)
• Kubernetes
• Docker and containerization
• CI/CD tools and pipeline automation
• Cloud platforms: AWS / Azure / GCP
• Python, Bash, or Shell scripting
• Linux/Unix administration

Good-to-Have Skills:

• Ansible or other configuration management tools
• Helm and Kubernetes administration
• Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps
• Prometheus and Grafana
• Git and version control
• AWS EKS, Azure AKS, or Google GKE

Job Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience : 4+ Years

Location : Gurugram, Sector 48, Haryana (On-site)

Employment Type : Full-Time

Working Days : Monday to Saturday (1st & 3rd Saturday Off)

About the Role :

We are looking for a hands-on DevOps Engineer / Site Reliability Engineer (SRE) with strong experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, and production application deployments.

The ideal candidate should have real-world production experience, excellent troubleshooting skills, and the ability to manage both infrastructure and application-level issues.

Mandatory Skills :

Linux, AWS, Docker, Kubernetes, Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI/CD, CI/CD, Infrastructure as Code (IaC), Python, Bash, Git, Grafana, Prometheus, ELK, CloudWatch, New Relic, SRE (SLI/SLO/SLA), Networking (DNS, HTTP/HTTPS, TCP/IP, Load Balancer), Production Application Deployment & Troubleshooting

Key Responsibilities :

• Manage and maintain AWS cloud infrastructure.
• Build and optimize CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
• Deploy, monitor, and troubleshoot applications across production environments.
• Automate infrastructure using Terraform and Ansible.
• Manage Docker containers and Kubernetes clusters.
• Monitor systems using Grafana, Prometheus, ELK, CloudWatch, and New Relic.
• Perform Linux server administration and troubleshooting.
• Handle production incidents, Root Cause Analysis (RCA), and improve system reliability.
• Collaborate with development teams to support application releases and automation.

Required Qualifications :

• Bachelor's degree in Computer Science or related field.
• 4+ years of hands-on experience in DevOps / SRE.
• Strong Linux administration and production troubleshooting skills.
• Experience with AWS and modern DevOps toolchains.
• Hands-on experience with application deployment and production support.

What We're Looking For :

• Strong practical Linux and cloud knowledge.
• Real production experience with application deployments.
• Ability to troubleshoot both infrastructure and application issues.
• Experience handling live production incidents.
• Excellent communication and problem-solving skills.
• Candidates should be comfortable with scenario-based technical discussions and demonstrate genuine hands-on expertise.

Interview Process :

1. HR Screening
2. Technical Round
3. Client Technical Round
4. Final Discussion

Note : The interview will focus on practical hands-on experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, application deployment, production troubleshooting, and real-world DevOps scenarios.

Strong Hands-On DevOps Engineer Profile with deep Kubernetes and multi-cloud experience

2

Mandatory (Experience 1): Must have 6+ years of hands-on DevOps experience, deploying, operating, troubleshooting, and scaling enterprise SaaS environments.

3

Mandatory (Experience 2): Must be able to own end-to-end customer deployments across cloud and enterprise environments (the role covers cloud, BYOC, air-gapped, and data-center deployments).

4

Mandatory (Tech skill 1): Must have strong hands-on Kubernetes experience — troubleshooting, networking, workloads, storage, RBAC, and security

5

Mandatory (Tech skill 2): Must have hands-on Helm experience — deployment, templating, and troubleshooting.

6

Mandatory (Tech skill 3): Must have hands-on Terraform experience — infrastructure provisioning and automation

7

Mandatory (Tech skill 4): Must have strong Linux and cloud infrastructure troubleshooting skills

8

Mandatory (Tech skill 5): Must have hands-on experience with observability — metrics, logs, traces, and alerting

9

Mandatory (Tech skill 6): Must have hands-on experience with one or more of AWS / GCP / Azure / OCI

10

Mandatory (Tech skill 7): Must have a strong incident-management and production-troubleshooting mindset, with a "fix first, optimize later" approach to customer escalations.

11

Mandatory (Company): B2B SaaS product companies

12

Preferred (Enterprise deployments): Prior experience with BYOC, air-gapped, or restricted-network environments.

13

Preferred (Observability tools): Prometheus / Grafana / OpenTelemetry / ELK / OpenSearch / Datadog

14

Preferred (Other): GitOps / CI-CD; Python or Golang for automation; multi-tenant SaaS infrastructure scaling; exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors; SRE concepts (SLIs/SLOs, DR, high availability

🚀 Job Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience Level : 4+ Years

Location : Gurugram Sector 48, Haryana (On-site)

Employment Type : Full Time Opportunity

About the Role :

We are looking for a proactive DevOps / Site Reliability Engineer (SRE) with around 4 years of hands-on experience designing, automating, and scaling cloud infrastructure and CI/CD delivery pipelines.

In this role, you will bridge the gap between development and operations. You will be responsible for orchestrating containerized applications, automating infrastructure via Code (IaC), establishing SRE best practices (SLIs, SLOs, SLAs), and ensuring maximum uptime, resiliency, and operational efficiency across multi-cloud environments (AWS/Azure/GCP).

Mandatory Skills :

AWS, Kubernetes, Docker, Terraform, Ansible, Jenkins, GitLab CI/CD, GitHub Actions, Python, Bash, CI/CD, Infrastructure as Code (IaC), Grafana, Prometheus, ELK, New Relic, CloudWatch, SRE, SLI/SLO/SLA, Linux

Key Responsibilities :

1. Cloud Infrastructure & Infrastructure as Code (IaC) :

• Provision, configure, and maintain scalable, high-availability infrastructure on multi-cloud platforms, primarily AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB/ASG, Lambda, EBS).
• Build, deploy, and manage Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation to enforce consistency and eliminate configuration drift.
• Execute disaster recovery (DR) planning, automated failover / failback mechanisms, and chaos engineering exercises to validate system resiliency.

2. CI/CD, Automation & Development :

• Design, end-to-end maintain, and optimize robust CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
• Automate release pipelines, versioning, branching strategies, and approval gates using Groovy, Python, and Bash scripting. Integrate automated code quality and security scanning tools (SonarQube, Black Duck, or Fortify) directly into delivery pipelines.
• Develop custom tools, scripts, or microservices (e.g., Python / Node.js) to automate manual operational tasks and operational toil.

3. Containerization & Orchestration :

• Onboard and orchestrate containerized microservices utilizing Docker and Kubernetes (including Helm charts).
• Ensure high availability, auto-scaling, resource management, and fault tolerance for Kubernetes pod deployments.

4. Observability, SRE & Incident Management :

• Drive Site Reliability Engineering (SRE) maturity by establishing, tracking, and reporting SLIs, SLOs, and SLAs with cross-functional engineering teams.
• Build, configure, and manage full-stack observability tools : Grafana, Prometheus, New Relic, Elasticsearch / Logstash / Kibana (ELK), Sentry, and AWS CloudWatch.
• Set up real-time alerting, custom metric dashboards, and automated log rotation / pruning scripts.
• Handle production incidents, lead Root Cause Analysis (RCA) investigations, and implement preventive measures to reduce Mean Time to Resolution (MTTR).

Required Qualifications & Skills :

• Education : Bachelor’s Degree in Electronics and Communication Engineering, Computer Science, or a related technical field.
• Experience : ~4 years of experience in DevOps, SRE, or Cloud System Administration roles.
• Cloud & Infrastructure : Hands-on experience with AWS (Core services like EC2, S3, VPC, RDS, IAM, Lambda, Auto Scaling) and exposure to Azure / GCP.
• CI/CD & Version Control : Proficiency with Jenkins, GitLab CI, GitHub Actions, and Git workflows.
• Containerization : Core proficiency in Docker and Kubernetes cluster management / onboarding.
• Infrastructure as Code : Expertise in Ansible, Terraform, or AWS CloudFormation.
• Scripting & Languages : Strong hands-on automation skills with Python, Bash, and foundational knowledge of Node.js, Java or C++.
• Observability & Logging : Strong experience with Grafana, Prometheus, New Relic, ELK stack, or Splunk.
• Database & SQL : Familiarity with relational databases (MySQL, RDS) for monitoring setup and operational analytics.