Lead DevOps Engineer at Accrete.ai · Mumbai · 5 - 9 years · ₹25L - ₹35L / yr · Posted 18 Jul 2023
Responsibilities
- Implement various development, testing, automation tools, and IT infrastructure
- Design, build and automate the AWS infrastructure (VPC, EC2, Networking, EMR, RDS, S3, ALB, Cloud Front, etc.) using Terraform
- Manage end-to-end production workloads hosted on Docker and AWS
- Automate CI pipeline using Groovy DSL
- Deploy and configure Kubernetes clusters (EKS)
- Design and build a CI/CD Pipeline to deploy applications using Jenkins and Docker
Eligibility
- At least 8 years of proven experience in AWS-based DevOps/cloud engineering and implementations
- Expertise in all common AWS Cloud services like EC2, EKS, S3, VPC, Lambda, API Gateway, ALB, Redis, etc.
- Experience in deploying and managing production environments in Amazon AWS
- Strong experience in continuous integration and continuous deployment
- Knowledge of application build, deployment, and configuration using one of the tools: Jenkins

Similar jobs (10)
Job Title : DevOps Engineer / Site Reliability Engineer (SRE)
Experience : 5+ Years
Location : Gurugram, Haryana
Work Mode : On-site (Full-time)
About the Role :
We are looking for a skilled DevOps Engineer with 5+ years of experience in cloud infrastructure, CI/CD, automation, Kubernetes, and Site Reliability Engineering (SRE). The ideal candidate will be responsible for building scalable cloud infrastructure, automating deployments, improving system reliability, and ensuring high availability across production environments.
Mandatory Skills :
AWS, Terraform, Ansible, CloudFormation, Jenkins, GitLab CI, GitHub Actions, Docker, Kubernetes, Helm, Python, Bash, Grafana, Prometheus, ELK Stack, CloudWatch, New Relic, SRE, CI/CD, Infrastructure as Code (IaC), Linux
Key Responsibilities :
- Design, deploy, and manage cloud infrastructure primarily on AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB, Auto Scaling, Lambda).
- Build and maintain Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation.
- Develop and optimize CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
- Deploy and manage containerized applications using Docker, Kubernetes, and Helm.
- Implement monitoring and observability using Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
- Drive SRE practices by defining SLIs, SLOs, SLAs, handling production incidents, conducting RCA, and improving system reliability.
- Automate operational tasks using Python, Bash, and Groovy scripting.
- Collaborate with Development, QA, Security, and Operations teams to ensure reliable and secure software delivery.
Required Skills & Qualifications :
- Bachelor's degree in Computer Science, IT, Electronics, or a related field.
- 5+ years of experience in DevOps, SRE, or Cloud Infrastructure.
- Strong expertise in AWS, with exposure to Azure/GCP.
- Hands-on experience with Terraform, Ansible, CloudFormation, Docker, Kubernetes, Helm, Jenkins, GitLab CI, GitHub Actions, and Git.
- Strong scripting skills in Python and Bash.
- Experience with monitoring tools such as Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
- Good understanding of Linux, networking, SQL, and cloud security best practices.
Preferred Skills :
- Experience with multi-cloud environments and DevSecOps practices.
- Knowledge of disaster recovery, automation, and microservices architecture.
- Strong troubleshooting, communication, and problem-solving skills.
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 :
- HR Screening
- Technical Round
- Client Technical Round
- 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.
Job Description:
Pre-requisite skills required for a DevOps Engineer role include:
- 6+yrs exp in DevOps
- Experience working on Linux based infrastructure
- knowledge in AWS, docker, CI/CD tools
- Hands on exp in Python/shell scripting language
- hands on exp in AWS and Azure
- Work exp in Docker, Terraform, Ansible, Kubernetes, LINUX
- Excellent understanding of Ruby, Python, Perl, and Java
- Configuration and managing databases such as MySQL, Mongo
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies, and cloud services
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.
Company Overview:
Planview is hiring a DevOps Engineer in Bengaluru, India to support Planview SaaS applications across the product line. You will work in a global, collaborative team — owning CI/CD pipelines, cloud infrastructure, and automation to keep deployments fast and systems reliable.
Responsibilities
- Build and maintain CI/CD pipelines in Jenkins for reliable, fast delivery.
- Manage containerized workloads on Docker and ECS — task definitions, services, and clusters.
- Provision and manage AWS infrastructure using Terraform (CloudFormation a plus).
- Automate configuration and deployment tasks using Python (Ansible a plus).
- Set up and maintain monitoring and alerting via New Relic (CloudWatch, Datadog, or Prometheus/Grafana a plus).
- Write Shell and Python scripts to automate operations and reduce manual work.
- Manage Git workflows — branching, merge strategies, and pull request reviews.
- Administer and support MSSQL databases underpinning the product line — backups, restores, and basic performance troubleshooting.
- Troubleshoot deployment, performance, and infrastructure issues with development teams.
- Participate in on-call rotations and drive incident response.
- Continuously improve infrastructure resilience and deployment speed.
- Apply AI-assisted engineering tools (e.g., GitHub Copilot, Claude Code) to speed up IaC authoring, pipeline debugging, and day-to-day scripting.
Qualifications
Must-Have Skills
- Experience: 4–6 years of experience in DevOps, SRE, or Infrastructure Engineering.
- OS: Linux & Windows administration (systemd, package management, log analysis).
- Cloud: AWS (Active Directory, ECS, EC2, CloudFront, S3, VPC, IAM, RDS, Lambda basics).
- Source Control: Git — branching, merge/rebase, PR reviews.
- CI/CD (Jenkins): Pipeline creation and basic Groovy scripting.
- Containerization (Docker + ECS): Task definitions, services, and clusters.
- IaC: Terraform.
- Monitoring: New Relic.
- Scripting: Bash and Python scripting for automation.
- Networking Basics: DNS, load balancers, security groups, VPNs.
- Logging: ELK stack / CloudWatch Logs.
- Database: MSSQL administration — backups, restores, basic performance troubleshooting.
- Infrastructure Automation: Hands-on experience automating infrastructure provisioning, configuration, and deployment end-to-end.
- AI-Assisted Engineering: Comfortable working with AI coding/DevOps assistants (e.g., GitHub Copilot, Claude Code) for IaC generation, scripting, and troubleshooting — verified via a mandatory AI proficiency assessment during interviews.
Nice-to-Have Skills
• Configuration Management: Ansible.
• Additional IaC: CloudFormation.
• Architecture: Knowledge of microservices architecture.
• Cloudflare: DNS, CDN, WAF.
• Artifact Repositories: Nexus, JFrog Artifactory, ECR.
• Other CI/CD Tools: GitHub Actions.
• AWS cost optimization / FinOps awareness.
• Datadog, CloudWatch, or Prometheus/Grafana.
• AIOps: Exposure to AI-driven anomaly detection, root-cause analysis, or incident triage (e.g., Dynatrace Davis AI, Datadog Bits AI, Harness AIDA).
• Database Basics: RDS backups, restores, performance tuning.
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.
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.
Job Summary :
We are looking for a proactive and skilled DevOps Engineer to join our team and play a key role in building, managing, and scaling infrastructure for high-performance systems. The ideal candidate will have hands-on experience with Kubernetes, Docker, Python scripting, cloud platforms, and DevOps practices around CI/CD, monitoring, and incident response.
Key Responsibilities :
- Design, build, and maintain scalable, reliable, and secure infrastructure on cloud platforms such as AWS.
- Implement Infrastructure as Code (IaC) using tools like Terraform, Cloud Formation, or similar.
- Manage Kubernetes clusters, configure namespaces, services, deployments, and auto scaling. CI/CD & Release Management
- Build and optimize CI/CD pipelines for automated testing, building, and deployment of services.
- Collaborate with developers to ensure smooth and frequent deployments to production.
- Manage versioning and rollback strategies for critical deployments.
- Containerization & Orchestration using Kubernetes.
- Containerize applications using Docker, and manage them using Kubernetes.
- Write automation scripts using Python or Shell for infrastructure tasks, monitoring, and deployment flows.
- Develop utilities and tools to enhance operational efficiency and reliability.
- Monitoring & Incident Management
- Analyze system performance and implement infrastructure scaling strategies based on load and usage trends.
- Optimize application and system performance through proactive monitoring and configuration tuning.
Desired Skills and Experience :
- Experience Required - 6+ yrs.
- Hands-on experience on cloud services like AWS, EKS etc.
- Ability to design a good cloud solution.
- Strong Linux troubleshooting, Shell Scripting, Kubernetes, Docker, Ansible, Jenkins Skills.
- Design and implement the CI/CD pipeline following the best industry practices using open-source tools.
- Use knowledge and research to constantly modernize our applications and infrastructure stacks.
- Be a team player and strong problem-solver to work with a diverse team.
- Having good communication skills.
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.
🚀 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.







