Principal DevOps Engineer at iMerit · Bengaluru (Bangalore) · 6 - 9 years · ₹10L - ₹15L / yr · Posted 18 Dec 2025
Exp: 7- 10 Years
CTC: up to 35 LPA
Skills:
- 6–10 years DevOps / SRE / Cloud Infrastructure experience
- Expert-level Kubernetes (networking, security, scaling, controllers)
- Terraform Infrastructure-as-Code mastery
- Hands-on Kafka production experience
- AWS cloud architecture and networking expertise
- Strong scripting in Python, Go, or Bash
- GitOps and CI/CD tooling experience
Key Responsibilities:
- Design highly available, secure cloud infrastructure supporting distributed microservices at scale
- Lead multi-cluster Kubernetes strategy optimized for GPU and multi-tenant workloads
- Implement Infrastructure-as-Code using Terraform across full infrastructure lifecycle
- Optimize Kafka-based data pipelines for throughput, fault tolerance, and low latency
- Deliver zero-downtime CI/CD pipelines using GitOps-driven deployment models
- Establish SRE practices with SLOs, p95 and p99 monitoring, and FinOps discipline
- Ensure production-ready disaster recovery and business continuity testing
If interested Kindly share your updated resume at 82008 31681

About iMerit
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Role Overview: Take full ownership of infrastructure architecture, scaling, and uptime. Establish the technical roadmap, shape and formalize the SRE function, and coach engineers. Design, deploy, and run AI-scale infrastructure that enables real-time healthcare workflows.
Serve as a Founding Member, owning end-to-end infrastructure capabilities and introducing AI-first DevOps, SRE, and MLOps best practices, with direct collaboration alongside the Founder, Co-Founder, and Head of Engineering.
Key Responsibilities:
Architecture & Platform
- Design scalable, secure, cost-efficient AWS/GCP architectures for AI and healthcare workloads
- Lead IaC standards and reusable modules org-wide; own GitOps practices
- Architect optimized Kubernetes (EKS/GKE) for HA, scale, and GPU workload orchestration
Reliability Engineering
- Define and drive reliability targets (SLOs/SLIs); establish SRE practice
- Lead incident management, RCA, and blameless post-mortems for critical systems
- Partner on infrastructure hardening and compliance (SOC 2, HIPAA)
AI-First Engineering
- Lead AI/ML inference and GPU infrastructure scaling in production
- Evaluate and introduce AI tooling, platforms, and automation best practices
- Contribute to LLM deployment pipelines and AI systems reliability
Leadership & SDLC
- Mentor L1/L2 engineers; influence cross-team infrastructure decisions
- Drive DevSecOps maturity across the SDLC (policy-as-code, SBOM, supply-chain security)
- Evaluate and introduce new tooling and platforms
Key Requirements:
- 4–8 years infrastructure/platform/DevOps/SRE
- Deep expertise in AWS & GCP large-scale production systems
- Advanced Kubernetes (cluster design, multi-tenant ops, resource quotas)
- AI/ML inference or GPU infrastructure scaling (production track record)
- Strong Terraform / equiv. and GitOps practices
- Python, Go, or Bash scripting and automation
- Track record in scale, reliability, and cost efficiency
- Lead incident response and on-call practices
Nice-to-Have
- LLM Gateway architecture and optimization
- Zero-trust networking and advanced security/compliance (SOC 2, HIPAA)
- DevSecOps maturity: SBOM, supply-chain security, policy-as-code
- Open-source contributions or platform-team leadership
Why This Role?
- Build infrastructure and products powering real-world healthcare AI
- Work with AI-native engineering teams using cutting-edge tools (Claude Code, Cursor, Copilot)
- Mission-driven impact — improve patient outcomes and save thousands of staff hours
- High ownership, rapid learning, and significant career upside
- Global collaboration across India and the US
- Seed-stage growth — scale from Seed to Series A alongside the team
- Founding Member role and own the entire infrastructure capabilities, including bringing best AI-first practices in DevOps, SRE and MLOps; direct access to work with the Founder, Co-Founder and Head of Engineering
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).
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
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.
Role Overview
- Role: Senior DevOps / CloudOps Engineer
- Domain: IoT Smart Controls & Building Management Systems (BMS) Platform
- Environment: Scale-Up product ecosystem demanding Startup Agility
Key Responsibilities
- Cloud & Infrastructure Management: Design, provision, and maintain secure, highly available cloud infrastructure (AWS/Azure/GCP) with application of Infrastructure as Code capabilities(Terraform/Ansible)
- IoT & Real-Time Messaging Scalability: Manage high-throughput MQTT broker clusters and WebSocket communication layers to support massive concurrent device telemetry
- CI/CD Pipeline Operations: Build and optimize automated build, test, and deployment pipelines for heterogeneous micro-services spanning Java Spring Boot backends, PHP services, and containerized components.
- Container Orchestration: Manage Docker containers and Kubernetes clusters ensuring seamless micro-services orchestration, zero-downtime rollouts, and failover resilience.
- Monitoring & Observability: Implement comprehensive logging, tracing, and metric alerts (Prometheus, Grafana, ELK stack) across cloud components and edge-to-cloud communication paths.
- Cross-Functional Collaboration: Coordinate with firmware teams (C/C++) and mobile/web application teams (React Native, JavaScript, Android, iOS) to ensure smooth continuous integration and API gateway reliability
Required Skills & Qualifications
- Experience: 8+ years of hands-on cloud engineering and DevOps experience in production environments.
- Cloud & IaC: Deep proficiency in cloud platform administration (AWS/Azure) alongside Terraform.
- Networking & Protocols: Solid understanding of TCP/IP, DNS, load balancing, WebSockets, and MQTT broker scaling (e.g., EMQX, HiveMQ, or Mosquitto).
- Containerization Stack: Working knowledge of Docker, Kubernetes, and Helm charts.
- Scripting & Automation: Good scripting fundamentals in Python, Bash
- Tech Stack Familiarity: Operational awareness of Java Spring Boot, PHP, and JavaScript ecosystems to debug deployment bottlenecks and assist engineering teams.
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.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
AWS / Kubernetes / OpenShift / Linux –
Location: Bangalore
Experience: 7–10 Years
Mandatory Skills:
- Strong hands-on experience with AWS
- Experience in Kubernetes & OpenShift
- Strong knowledge of Linux administration
- Experience with Docker & containerization
- Knowledge of CI/CD pipelines and DevOps practices
- Troubleshooting, monitoring, and deployment experience
Role: Cloud/DevOps Engineer – AWS, Kubernetes & OpenShift
Job Description – DevOps Engineer
Company: Kanhasoft
Experience: 4+ Years
Location: Ahmedabad (Work from Office)
Employment Type: Full-Time
Job Overview
We are looking for an experienced DevOps Engineer with 4+ years of hands-on experience in managing cloud infrastructure, CI/CD pipelines, deployment automation, and server administration. The ideal candidate should have strong knowledge of cloud platforms, containerization, infrastructure management, and deployment processes to ensure scalable, secure, and reliable application delivery.
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines for automated build, testing, and deployment.
- Manage and maintain cloud infrastructure on AWS, Azure, or Google Cloud.
- Work with Docker and Kubernetes for containerization and orchestration.
- Automate infrastructure provisioning and configuration management.
- Monitor application performance, server health, and system availability.
- Manage Linux servers, networking, security, and troubleshooting.
- Implement backup, disaster recovery, and security best practices.
- Collaborate with development and QA teams to streamline deployment processes.
- Identify and resolve infrastructure, deployment, and production-related issues.
- Optimize cloud resources, performance, and infrastructure costs.
Required Skills & Qualifications
- 4+ years of professional experience in DevOps or Cloud Infrastructure.
- Strong hands-on experience with AWS, Azure, or GCP.
- Good knowledge of CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions.
- Hands-on experience with Docker and Kubernetes.
- Strong understanding of Linux/Unix server administration.
- Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
- Knowledge of Git and version control systems.
- Understanding of networking, DNS, load balancing, firewalls, and security.
- Experience with monitoring tools such as Prometheus, Grafana, or ELK Stack.
- Strong troubleshooting, problem-solving, and communication skills.
Preferred Qualifications
- Experience managing production environments.
- Knowledge of scripting languages such as Bash or Python.
- Experience with cloud security and cost optimization.
- Familiarity with microservices architecture.
What We Are Looking For
- A proactive professional with strong technical and analytical skills.
- Ability to work independently and manage multiple infrastructure tasks.
- Strong collaboration skills to work with cross-functional teams.
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.
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.












