DevOps Engineer (GCP - Google cloud platform)

Job Description:

• Infrastructure Management: Design, implement, and manage scalable, reliable, and secure cloud infrastructure using AWS, GCP, and/or Azure.
• CI/CD Pipelines: Develop and maintain continuous integration and continuous deployment (CI/CD) pipelines to streamline the development lifecycle.
• Automation: Automate infrastructure provisioning, configuration management, and application deployment processes.
• Monitoring and Performance: Implement monitoring, logging, and alerting solutions to ensure system health, performance, and reliability.
• Security: Ensure the security of cloud infrastructure and applications, including identity management and compliance with industry standards.
• Collaboration: Work closely with client and development teams to integrate DevOps practices and deliver high-quality software.
• Documentation: Maintain comprehensive documentation of infrastructure, configurations, and processes.
• Innovation: Stay current with emerging technologies and industry trends, integrating them into the DevOps strategy as appropriate.

Qualifications: 

• Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience: 7 - 10 years of overall experience with relevant experience of at least 7 years in DevOps and served as a lead or senior engineer.

About the Role

The non-negotiable is deep, hands-on infrastructure expertise spanning hybrid cloud and self-hosted systems. You will architect and maintain our unique infrastructure combining AWS CDN, bare metal servers, and Kubernetes clusters. This is not just maintenance work: you will establish company-wide DevOps policy, build security-hardened environments, and create the documentation and processes that scale with us. You will design our CI/CD pipelines, implement zero-trust networking, and guide the technical team on how to keep our production systems robustly online. This role is hands-on, autonomous, and sets the standard for how we approach infrastructure as the company grows.

What You'll Build

•  Hybrid Infrastructure Management: Architect and maintain our unique infrastructure spanning AWS CDN, bare metal servers, and Kubernetes clusters for computationally intensive facial analysis workloads.
• CI/CD Pipeline Architecture: Design and implement CircleCI or Jenkins pipelines with comprehensive build testing, versioning, and change logging.
• Zero-Trust Networking: Build and maintain mesh topology networks using Tailscale or Wireguard to securely connect our hybrid infrastructure.
• Security-First Culture: Establish and enforce security policies including key rotation, access controls, compliance frameworks, and employee security management.
• Infrastructure as Code: Document and codify all infrastructure decisions, creating repeatable, auditable deployments.
• Containerization Strategy: Implement and optimize Docker/K8s deployments for our AI/ML workloads.
• Cost Optimization: Continue our approach of strategic compute placement using owned, rented or borrowed infrastructure where it makes financial sense without sacrificing security or reliability.
• Observability & Monitoring: Implement comprehensive logging, monitoring, and alerting across our distributed systems.

What We're Looking For

•  5+ years of DevOps or infrastructure engineering experience, with a track record of building from scratch
• Hybrid infrastructure expertise: experience managing both cloud (AWS) and self-hosted infrastructure, understanding the tradeoffs and security risks of each
• Kubernetes production experience: deep knowledge of cluster design, operations, and scaling
• Networking mastery: strong understanding of VPCs, mesh networks, VPNs, and zero-trust architectures
• Security-first mindset: experience with security compliance, key management, IAM policies, and hardening production systems
• CI/CD expertise: hands-on experience building robust pipelines for build testing before deployment
• Infrastructure as Code: proficiency with Terraform, Ansible, or similar tools
• Scripting and automation: strong Python, Bash, or Go skills for tooling and automation
• Policy and documentation: ability to establish best practices and document them clearly for team adoption
• Leadership mentality: comfortable setting standards and directing technical decisions, not just executing them

Nice to Have

• Experience architecting infrastructure for AI/ML workloads
• Background in a fast-moving startup or scale-up environment
• H ands-on experience with cost optimization across cloud and on-premises infrastructure

Why Join

• Opportunity to solve real healthcare problems with cutting-edge technology
• Well-funded startup with a strong market presence
• Work with advanced AI technology in a healthcare context
• Collaborate with a talented team in a fast-paced environment
• Competitive salary with equity options
• Performance and quarterly bonuses
• Professional development opportunities

Compensation and Logistics

• Remote, full-time
• Reports to: Head of Engineering
• Compensation: $1,000–$3,000 USD/month, depending on experience and technical expertise.

Job Summary:

We are looking for an experienced Cloud / DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, containerized applications, deployments, and production environments.

Roles & Responsibilities:

• Design, deploy, and manage cloud infrastructure on AWS.
• Manage and administer Kubernetes and OpenShift environments.
• Deploy, configure, and troubleshoot containerized applications.
• Perform Linux administration, troubleshooting, and system monitoring.
• Monitor application and infrastructure performance and resolve production issues.
• Automate deployment and operational activities wherever possible.
• Work with development and operations teams to support application deployments.
• Ensure system availability, reliability, and security.
• Troubleshoot issues related to Kubernetes clusters, containers, networking, and Linux systems.
• Follow DevOps best practices for CI/CD, infrastructure management, and automation.

Required Skills:

• 7–10 years of relevant experience in Cloud/DevOps.
• Strong hands-on experience with AWS.
• Good knowledge of Kubernetes and OpenShift.
• Strong Linux administration and troubleshooting skills.
• Experience in containerization and deployment of applications.
• Good understanding of cloud infrastructure and production support.

We are seeking a highly skilled and experienced DevOps Engineer to join our development team.

Years of experience needed: 8+ Yrs

Required Skills

Strong experience with GitLab, TeamCity, Terraform, Kubernetes and Docker

Proficiency in various deployment strategies and CI/CD pipeline setups

Solid understanding of Linux administration and Windows IIS.

Advanced scripting skills in bash and PowerShell

Hands-on experience with Google Cloud Platform (GCP) services, particularly GKE, GCS, GCE, Cloud SQL, and load balancers

Familiarity with Autosys for job scheduling and automation

Excellent problem-solving and troubleshooting skills

Ability to work independently and collaboratively in a fast-paced environment

• • Strong communication and interpersonal skills.

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.

Job Summary

We are looking for an experienced Azure Cloud / DevOps Engineer with strong hands-on expertise in Azure PaaS services, Azure Kubernetes Service (AKS), and Azure DevOps. The candidate will be responsible for designing, implementing, deploying, and supporting highly available and scalable cloud applications and infrastructure on Microsoft Azure.

The ideal candidate should have strong experience in CI/CD, containerization, Kubernetes, Infrastructure as Code, Azure networking, security, monitoring, and automation.

Key Responsibilities

• Design, deploy, and manage Azure PaaS services including App Services, Azure Functions, Azure Storage, Azure SQL, Key Vault, Service Bus, Event Grid, and related services.
• Design, configure, and administer Azure Kubernetes Service (AKS) clusters.
• Manage Kubernetes workloads, deployments, services, ingress, namespaces, secrets, config maps, and autoscaling.
• Implement and maintain CI/CD pipelines using Azure DevOps.
• Develop and maintain build and release pipelines for application and infrastructure deployments.
• Implement Infrastructure as Code (IaC) using Terraform and/or ARM/Bicep templates.
• Build and manage Docker containers and container registries using Azure Container Registry (ACR).
• Implement deployment strategies such as rolling, blue-green, and canary deployments where required.
• Configure Azure networking components such as VNets, subnets, NSGs, private endpoints, load balancers, Application Gateway, and Azure DNS.
• Implement Azure security best practices including Managed Identity, RBAC, Key Vault, secrets management, and network security.
• Configure monitoring, logging, alerting, and troubleshooting using Azure Monitor, Log Analytics, Application Insights, and Container Insights.
• Automate infrastructure and operational activities using PowerShell, Azure CLI, Bash, or Python.
• Troubleshoot application, container, Kubernetes, pipeline, networking, and Azure infrastructure issues.
• Work closely with development, architecture, security, and operations teams to deliver reliable cloud solutions.
• Participate in production deployments, incident management, root-cause analysis, and performance optimization.

Required Skills

Azure

• Strong hands-on experience with Microsoft Azure.
• Azure PaaS services such as:
• Azure App Service
• Azure Functions
• Azure Storage
• Azure SQL
• Azure Key Vault
• Azure Service Bus
• Azure Event Grid
• Azure API Management
• Good understanding of Azure networking, IAM/RBAC, security, and governance.

AKS / Kubernetes

• Strong hands-on experience with AKS.
• Kubernetes architecture and administration.
• Deployments, Services, Ingress, ConfigMaps, Secrets, Namespaces.
• Helm and Kubernetes manifests.
• Horizontal Pod Autoscaler and cluster autoscaling.
• Container troubleshooting and performance

Job Title : DevOps Engineer – Linux, AWS & Infrastructure

Experience : 3+ Years

Location : Sector 48, Gurgaon

Work Mode : 6 Days WFO – Monday to Saturday

Week Off : 01st & 03rd Saturday Off

Employment Type : Full-Time

Job Summary :

We are looking for a DevOps Engineer with strong hands-on experience in Linux, Networking, Server Administration, AWS, CI/CD, Containers, Kubernetes, and Infrastructure Automation. The ideal candidate should have strong troubleshooting skills, production ownership, and the ability to manage and automate infrastructure reliably.

Key Responsibilities :

• Manage and troubleshoot Linux servers, bare-metal infrastructure, and server environments.
• Perform system administration, networking, performance monitoring, and production troubleshooting.
• Design, maintain, and optimize Jenkins-based CI/CD pipelines and deployment workflows.
• Manage Docker containers and Kubernetes environments.
• Work with AWS Cloud services, infrastructure, security, and deployment environments.
• Monitor system health, application performance, logs, and infrastructure using appropriate monitoring and logging tools.
• Implement and maintain Infrastructure as Code (IaC) using tools such as Terraform or CloudFormation.
• Automate repetitive operational tasks using Python, Bash, Shell scripting, or similar technologies.
• Implement infrastructure and application security, access controls, patching, and hardening.
• Investigate production incidents, perform root-cause analysis (RCA), and drive issues to resolution.
• Take end-to-end ownership of infrastructure reliability, availability, and operational issues.
• Collaborate with development and other engineering teams to improve deployment, scalability, and system reliability.

Mandatory Skills :

Linux & Networking | Bare Metal / Server Administration | Jenkins / CI-CD | Docker / Containers | AWS Cloud | Kubernetes | Git | Monitoring & Logging | Security | Infrastructure as Code (IaC) | Automation / Scripting | Production Troubleshooting & Ownership

Preferred Skills :

• Strong understanding of TCP/IP, DNS, HTTP/HTTPS, SSH, load balancing, and networking fundamentals.
• Hands-on experience with Terraform / CloudFormation.
• Experience with Prometheus, Grafana, ELK / EFK, CloudWatch, or similar monitoring / logging tools.
• Good understanding of Linux performance troubleshooting, processes, memory, disk, networking, and file systems.
• Experience handling production incidents, RCA, deployments, and system reliability.
• Exposure to cloud security, IAM, secrets management, and server hardening.

What We’re Looking For :

• 3+ years of hands-on experience in DevOps / SRE / Infrastructure Engineering.
• Strong practical knowledge rather than certification-based/theoretical understanding.
• Good troubleshooting and analytical skills.
• Strong sense of ownership and accountability for production systems.
• Comfortable working in a 6-day work-from-office environment.

We are seeking a skilled and experienced Senior DevOps Engineer to join our team. As a Senior DevOps Engineer, you will play a crucial role in designing, implementing, and managing our cloud infrastructure on AWS, while utilizing Docker, Kubernetes, Terraform and Argo CD for containerization and deployment. You will collaborate closely with development teams to ensure smooth software releases, scalability, and reliability of our systems. Also, you will be working on Airflow and Spark configurations for Data pipelines.

Responsibilities:

• Design, implement, and maintain scalable and secure cloud infrastructure on AWS, utilizing services such as EC2, S3, VPC, IAM, and Lambda.
• Build, deploy, and manage containerized applications using Docker and Kubernetes.
• Develop and maintain CI/CD pipelines to enable continuous integration, automated testing, and deployment using tools like Jenkins, GitLab CI/CD, or AWS CodePipeline.
• Implement and manage infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate the provisioning and configuration of AWS resources.
• Monitor and troubleshoot infrastructure and application issues, ensuring high availability, performance, and scalability of the system.
• Collaborate with development teams to ensure smooth and efficient software releases, including version control, branching strategies, and release management.
• Implement and maintain robust security practices, including access control, network security, and data encryption.
• Automate manual tasks and processes using scripting languages (e.g., Python, Bash) and configuration management tools (e.g., Ansible).
• Collaborate with cross-functional teams to gather requirements, provide technical guidance, and implement best practices for infrastructure and deployment processes.
• Stay up-to-date with the latest DevOps tools, technologies, and best practices, and identify opportunities for improvement and optimization in our infrastructure and processes.

Requirements:

• Bachelor’s or master’s degree in computer science, Software Engineering, or a related field.
• Proven experience as a DevOps Engineer, with a focus on AWS, Docker, Kubernetes, and Argo CD.
• Strong experience in designing, implementing, and managing cloud infrastructure on AWS, including services like EC2, S3, VPC, IAM, and Lambda.
• Hands-on experience with containerization technologies, specifically Docker and Kubernetes.
• Proficiency in CI/CD pipeline setup and management using tools like Jenkins, GitLab CI/CD, or AWS CodePipeline.
• Solid understanding of infrastructure as code (IaC) principles and experience with tools like Terraform or CloudFormation.
• Experience in monitoring and troubleshooting complex infrastructure and application issues.
• Strong scripting and automation skills using languages such as Python, Bash, or PowerShell.
• Excellent problem-solving and analytical skills, with the ability to handle and prioritize multiple tasks in a fast-paced environment.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Preferred Qualifications:

• AWS certifications, such as AWS Certified DevOps Engineer or AWS Certified Solutions Architect.
• Experience with infrastructure monitoring and logging tools like CloudWatch, ELK stack, or Prometheus/Grafana.
• Knowledge of serverless architectures and experience with AWS Lambda.
• Familiarity with other cloud platforms (e.g., Azure, Google Cloud Platform).
• Understanding of security best practices and experience implementing security measures in cloud infrastructure.

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