Devops Engineer at devops consultant · Remote only · 8 - 30 years · ₹15L - ₹35L / yr · Remote only · Posted 2 Mar 2023

Intuitive is now hiring for DevOps Consultant for full-time employment
DevOps Consultant
Work Timings: 6.30 AM IST – 3.30 PM IST ( HKT 9.00 AM – 6.00 PM)
Key Skills / Requirements:
- Mandatory
- Integrating Jenkins pipelines with Terraform and Kubernetes
- Writing Jenkins JobDSL and Jenkinsfiles using Groovy
- Automation and integration with AWS using Python and AWS CLI
- Writing ad-hoc automation scripts using Bash and Python
- Configuring container-based application deployment to Kubernetes
- Git and branching strategies
- Integration of tests in pipelines
- Build and release management
- Deployment strategies (eg. canary, blue/green)
- TLS/SSL certificate management
- Beneficial
- Service Mesh
- Deployment of Java Spring Boot based applications
- Automated credential rotation using AWS Secrets Manager
- Log management and dashboard creation using Splunk
- Application monitoring using AppDynamics
If Your profile matches the requirements share your resume at anitha.katintuitvedotcloud
Regards,
Anitha. K
TAG Specialist

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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.
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.
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.
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 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
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.
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.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
On the Job
● Build and maintain scalable cloud infrastructure on AWS
● Improve CI/CD pipelines, deployment systems, and developer workflows
● Automate infrastructure provisioning using Infrastructure-as-Code (Terraform/Pulumi)
● Manage and optimize Kubernetes clusters and containerized workloads
● Improve observability across systems through monitoring, logging, and alerting
● Drive reliability initiatives including incident response, root cause analysis, and operational
improvements
● Collaborate with engineering teams to improve service scalability, performance, and security
● Implement IAM, secrets management, and infrastructure security best practices
● Optimize infrastructure costs and improve resource efficiency
● Actively leverage AI tools and workflows to improve engineering productivity and automation
Must Haves
● 3–6 years of experience in DevOps, Platform Engineering, or SRE roles
● Strong hands-on experience with AWS infrastructure and services
● Good understanding of Kubernetes, Docker, and container orchestration
● Experience with Infrastructure-as-Code tools like Terraform or Pulumi
● Strong scripting/coding skills in Python, Go, or Bash
● Experience building and maintaining CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI,
etc.)
● Understanding of networking fundamentals, Linux systems, and cloud security practices
● Familiarity with monitoring and observability tools like Prometheus, Grafana, ELK, Datadog,
etc.
● Strong debugging and problem-solving skills
● Ability to work independently in a fast-moving environment
Good To Haves
● Experience working in fintech or high-scale startup environments
● Exposure to service mesh, zero-trust security, or secrets management systems
● Experience with multi-cluster Kubernetes environments
● Familiarity with incident management, SLOs, and reliability engineering practices
● Experience building internal developer platforms or automation tooling
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.
You will be part of the DevOps engineers' team, managing large customer deployments including Linux and Windows Administration, Large Enterprise Application, and Big Data Workloads. You will have broad business and technology expertise coupled with a background in professional services and client-facing skills. You are passionate about the best practices of cloud deployment and ensuring the customer expectation is set and met appropriately. You will help us build scalable, efficient cloud infrastructure.
You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices. If you love to solve problems using your skills, then come join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.
What you will do?
- Application migration projects from on-premises to AWS.
- Database (RDBMS, NoSQL, DW, Hadoop) migration projects from on-premises to AWS.
- Automate operational and server provisioning workflows using AWS CFT on AWS.
- Share the responsibility for deploying releases and conducting other operations maintenance.
- Enhance operations infrastructures such as Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools such as Graphite and Grafana.
- Provide operational support for the rest of the Engineering team.
- Help migrate our remaining dedicated hardware infrastructure to the cloud.
- Establish and maintain operational best practices.
What do you have?
- 2+ years of experience in using Terraform for IaaC.
- 2+ years of configuration management and engineering for large scale customers, ideally supporting an Agile development process.
- 2+ years of Linux Administration experience.
- Deep understanding of version control systems (git), including branching and merging strategies.
- Experience working with cloud platforms (AWS/EC2/ ECS/ RDS/ CloudFormation, Cloudwatch, etc.) and cloud automation tools (Ansible, Chef).
- Experience with software build tools (Maven, Gradle) and continuous integration tools (Jenkins).
- Must have supported Java-based applications in a production environment.
- Experience with Linux environments and scripting languages - bash, python, Groovy.
- Experience in supporting Node.js in production is a plus.
- Knowledge of service discovery tools such as Consul is a plus.
- Comfortable working late evening hours, which is when most patching occurs.
- You are extremely proactive at identifying ways to improve things and make them more reliable.
You will be preferred if
- You are AWS DevOps Pro or AWS SA Pro Certified






