Senior devops engineer at Hiring for a gaming company · Delhi · 4 - 8 years · ₹14L - ₹15L / yr · Posted 2 May 2022

- Must have a minimum of 3 years of experience in managing AWS resources and automating CI/CD pipelines.
- Strong scripting skills in PowerShell, Python or Bash be able to build and administer CI/CD pipelines.
- Knowledge of infrastructure tools like Cloud Formation, Terraform, Ansible.
- Experience with microservices and/or event-driven architecture.
- Experience using containerization technologies (Docker, ECS, Kubernetes, Mesos or Vagrant).
- Strong practical Windows and Linux system administration skills in the cloud.
- Understanding of DNS, NFS, TCP/IP and other protocols.
- Knowledge of secure SDLC, OWASP top 10 and CWE/SANS top 25.
- Deep understanding of Web Sockets and their functioning. Hands on experience of ElasticCache, Redis, ECS or EKS. Installation, configuration and management of Apache or Nginx web server, Apache/Tomcat Application Server, configure SSL certificates, setup reverse proxy.
- Exposure to RDBMS (MySQL, SQL Server, Aurora, etc.) is a plus.
- Exposure to programming languages like JAVA, PHP, SQL is a plus.
- AWS Developer or AWS SysOps Administrator certification is a plus.
- AWS Solutions Architect Certification experience is a plus.
- Experience building Blue/Green, Canary or other zero down time deployment strategies, advanced understanding of VPC, EC2 Route53 IAM, Lambda is a plus.

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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 looking for an experienced DevOps Engineer with 5–7 years of hands-on experience in managing infrastructure, automating deployments, and implementing CI/CD pipelines. The ideal candidate should have strong expertise in at least one cloud or DevOps platform, Infrastructure as Code (IaC), configuration management, and deployment automation.
- The candidate should also possess good knowledge of networking, VMware virtualization, Linux/Windows system administration, and infrastructure management to ensure reliable, scalable, and secure IT environments.Manage and automate infrastructure provisioning using Infrastructure as Code (IaC) tools.
- Develop and maintain automation scripts for infrastructure configuration, deployment, and operational tasks.
- Manage and maintain cloud or infrastructure platforms such as AWS, Azure, or GCP.
- Implement and manage CI/CD tools, particularly Jenkins, for continuous integration and continuous delivery.
- Automate configuration management and infrastructure deployment using Ansible.
- Monitor infrastructure performance, troubleshoot issues, and ensure system availability and reliability.
- Manage virtualized environments and infrastructure using VMware technologies.
- Perform system administration activities, including server management, patching, upgrades, and troubleshooting.
- Configure and troubleshoot networking components, including DNS, DHCP, TCP/IP, firewalls, routing, and load balancing.
- Implement security best practices, access controls, backup strategies, and infrastructure monitoring.
- Collaborate with development, QA, and infrastructure teams to streamline deployment processes and improve operational efficiency.
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: 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.
* Deploy and maintain company websites and HRM Cloud applications.
* Configure and manage cloud servers and Linux environments.
* Set up CI/CD pipelines using GitHub/GitHub Actions.
* Configure domains, DNS, SSL certificates, and HTTPS.
* Deploy frontend, backend/API, and database services.
* Configure production and staging environments.
* Manage Docker containers where required.
* Monitor server performance, uptime, logs, and application health.
* Implement regular database and server backups.
* Maintain security, access controls, firewalls, and server permissions.
* Troubleshoot deployment, server, network, and application issues.
* Work closely with Full-Stack Developers and QA teams.
* Maintain deployment documentation and technical procedures.
Required Skills
* AWS / Azure / DigitalOcean or equivalent cloud platform
* Linux server administration
* Git & GitHub
* CI/CD and GitHub Actions
* Docker
* Nginx / Apache
* DNS & domain configuration
* SSL/TLS and HTTPS
* Database deployment and backup
* Basic networking and security
* Monitoring and troubleshooting
* Experience deploying web applications to production
Preferred Skills
* Kubernetes
* Terraform / Infrastructure as Code
* Cloud security
* Load balancing
* Redis / caching
* PostgreSQL / MySQL / MongoDB
* Experience with Node.js, React, PHP/Laravel, or .NET applications
What We Offer
* Opportunity to work on HRM Cloud and SaaS products
* Exposure to real-world cloud infrastructure and production systems
* Remote/hybrid working opportunity
* Growth opportunities within the technology team
* Opportunity to work with an international product-focused company
How to Apply
Send your CV,GitHub profile, LinkedIn profile, and details of your previous cloud/DevOps projects.
Subject: Application – DevOps & Cloud Engineer
About the Role
We are looking for an experienced AWS DevOps Engineer with around 4 years of hands-on experience to join our infrastructure/DevOps team. The ideal candidate will independently design, deploy, and maintain cloud infrastructure primarily on AWS, drive automation initiatives, mentor junior engineers, and work closely with cross-functional teams to build scalable, secure, and highly available systems. Exposure to Azure is a strong plus.
Key Responsibilities
· Design, deploy, and maintain robust, scalable, and secure infrastructure on AWS
· Architect and manage core AWS services such as EC2, S3, VPC, IAM, RDS, Lambda, ECS/EKS, Route 53, and CloudFront
· Build, own, and optimize CI/CD pipelines (e.g., CodePipeline, Jenkins, GitLab CI, GitHub Actions) to enable fast and reliable deployments
· Design and implement Infrastructure as Code (IaC) using Terraform / AWS CloudFormation
· Set up and manage monitoring, logging, and alerting solutions (CloudWatch, ELK, Prometheus, Grafana, Datadog, etc.)
· Implement and enforce security best practices including IAM policies, security groups, NACLs, KMS, Secrets Manager, and compliance standards
· Lead troubleshooting and root cause analysis for infrastructure, deployment, and production incidents
· Drive backup, disaster recovery, high-availability, and cost-optimization strategies (Reserved Instances, Savings Plans, right-sizing)
· Containerize applications and manage orchestration using Docker, ECS, and/or Kubernetes (EKS)
· Automate repetitive operational tasks through scripting and tooling
· Support any hybrid or multi-cloud initiatives involving Azure services, where applicable
· Mentor junior engineers and review their work, providing technical guidance
· Collaborate with development, QA, security, and product teams to support and streamline application deployments
· Maintain comprehensive documentation of architecture, configurations, processes, and runbooks
· Participate in on-call rotations and incident response as needed
Required Skills & Qualifications
· Bachelor's degree in Computer Science, IT, or a related field (or equivalent practical experience)
· 4+ years of hands-on experience working with AWS cloud services in a production environment
· Strong expertise in core AWS services: EC2, S3, VPC, IAM, RDS, Lambda, CloudWatch, ECS/EKS, Route 53, ELB/ALB, Auto Scaling
· Solid understanding of networking concepts (subnets, routing, security groups, load balancers, VPNs, VPC peering, Direct Connect)
· Strong scripting/programming skills in Python, Bash, or PowerShell for automation
· Hands-on experience with Infrastructure as Code tools such as Terraform or AWS CloudFormation
· Proven experience with Linux and/or Windows server administration
· Strong understanding of CI/CD pipelines, Git-based version control, and branching strategies
· Solid experience with containerization and orchestration (Docker, ECS, or EKS/Kubernetes)
· Experience with configuration management tools (Ansible, Chef, or Puppet) is a plus
· Application Server Management — strong knowledge of networking, firewalls, load balancers, Nginx, Apache, etc.
· Ability to independently read, interpret AWS documentation, and troubleshoot complex issues
· Experience with cost optimization, security audits, and compliance frameworks (e.g., ISO, SOC2) is a plus
· AWS certification (Solutions Architect Associate/Professional, DevOps Engineer Professional) preferred
Good to Have
· Working knowledge of Microsoft Azure services (Virtual Machines, VNets, Azure DevOps, Azure Storage, Azure AD/Entra ID, AKS)
· Experience with multi-cloud or hybrid-cloud environments
· Familiarity with Azure Resource Manager (ARM) templates or Bicep
· Any Azure certification (AZ-104, AZ-400, etc.)
Soft Skills
· Strong analytical, problem-solving, and decision-making ability
· Excellent verbal and written communication skills
· Ability to mentor and guide junior team members
· Proactive, ownership-driven approach to infrastructure and incident management
· Strong collaboration skills in a cross-functional, team-oriented environment
· High attention to detail with a focus on reliability and scalability
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 a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development environment is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.
Key Responsibilities
- Review, validate, and optimize existing Terraform code and AWS infrastructure.
- Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
- Design, build, and support secure, scalable, and highly available AWS environments.
- Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
- Lead infrastructure testing, performance tuning, and production readiness activities.
- Drive deployment and operationalization of the platform in the Production environment.
- Implement cloud governance, security, monitoring, and FinOps best practices.
- Troubleshoot and resolve complex cloud infrastructure issues.
Required Skills & Experience
- 10+ years of IT experience with strong expertise in AWS Cloud Engineering.
- Proven experience designing, deploying, and managing AWS production environments.
- Strong hands-on experience with Terraform and Infrastructure-as-Code.
- Experience with CI/CD pipeline automation and DevOps practices.
- Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
- Experience in performance optimization, reliability, and cloud cost management (FinOps).
- Strong scripting and automation skills.
- Experience integrating enterprise applications through APIs and secure connectivity patterns.
Preferred Skills
- Experience supporting AI/GenAI, chatbot, or multi-agent platforms.
- AWS Certifications (Associate/Professional).
- Banking or Financial Services domain experience.
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.
We are looking for an experienced AWS DevOps Engineer with 5–7 years of experience in cloud infrastructure management, automation, and deployment engineering. The candidate should have strong hands-on experience with AWS services, Infrastructure as Code (IaC), CI/CD pipeline implementation, Jenkins, and Ansible.
- Design, implement, and maintain AWS cloud infrastructure and services.
- Build, manage, and optimize CI/CD pipelines using Jenkins.
- Automate infrastructure provisioning and management using Terraform or AWS CloudFormation.
- Develop and maintain Ansible playbooks for configuration management and automation.
- Manage AWS services such as EC2, S3, VPC, IAM, EBS, ELB, Auto Scaling, Route 53, and CloudWatch.
- Implement cloud infrastructure security, access management, monitoring, and backup strategies.
- Automate deployment processes and improve application release efficiency.
- Monitor infrastructure performance and troubleshoot cloud-related issues.
- Manage networking components, including VPC, subnets, routing, security groups, NACLs, DNS, VPN, and load balancers.
- Manage VMware virtualized environments and perform server administration activities.
- Perform Linux and Windows server administration, patching, upgrades, and troubleshooting.
- Collaborate with development and infrastructure teams to improve system reliability and operational efficiency.
Job Summary:
We are looking for an experienced DevOps Engineer with strong expertise in AWS Cloud, Site Reliability Engineering (SRE), automation, and CI/CD practices. The candidate should have experience in managing cloud infrastructure, improving system reliability, monitoring applications, and handling production environments.
Mandatory Skills:
- Strong experience in AWS Cloud Services (EC2, S3, IAM, VPC, EKS, CloudWatch).
- Hands-on experience in DevOps and Site Reliability Engineering (SRE).
- Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
- Infrastructure as Code (IaC) using Terraform or CloudFormation.
- Strong scripting knowledge in Python, Shell, or Bash.
- Experience with Docker and Kubernetes.
- Monitoring and observability tools such as Prometheus, Grafana, ELK, Datadog, or CloudWatch.
- Experience in production support, incident management, troubleshooting, and RCA.
- Knowledge of high availability, scalability, performance optimization, and system reliability.













