DevOps Engineer at whitewhale software solution · Mumbai · 4 - 5 years · ₹6L - ₹10L / yr · Profitable · Posted 21 Feb 2026

Job Description:
As a DevOps Engineer at Cateina Technology, you will play a crucial role in enhancing our development
and deployment processes. You will work closely with development, QA, and operations teams to ensure
seamless integration and delivery of high-quality software. Your expertise will contribute to the stability,
scalability, and performance of our applications and infrastructure.
Key Responsibilities:
● Infrastructure Management: Design, implement, and maintain scalable, secure, and reliable
infrastructure on cloud platforms (AWS)
● Continuous Integration/Continuous Deployment (CI/CD): Develop and maintain CI/CD pipelines
to automate code deployment, testing, and delivery processes.
● Monitoring and Logging: Implement monitoring, logging, and alerting solutions to ensure
system performance, availability, and reliability.
● Configuration Management: Use configuration management tools (Ansible, Puppet, Chef) to
automate system setup, configuration, and updates.
● Collaboration: Work closely with development teams to understand their needs and provide
support for development, testing, and deployment environments.
● Security: Implement security best practices and ensure compliance with industry standards.
● Troubleshooting: Diagnose and resolve issues in development, testing, and production
environments.
Documentation: Maintain detailed and accurate documentation of configurations, processes,
and procedures.
Requirements:
● Experience: 4-5 years of experience in a DevOps or related role.
● Technical Skills:
o Strong experience with cloud platforms (AWS)
o Proficiency in scripting languages (Python, Bash, etc.).
o Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI, etc.).
o Knowledge of containerization and orchestration (Docker)
o Familiarity with configuration management tools (Ansible, Puppet, Chef).
o Experience with monitoring and logging tools (Prometheus, Grafana, ELK stack).
o Mandatory Technical Skills Kubernetes.
● Soft Skills:
o Strong problem-solving and analytical skills.
o Excellent communication and collaboration abilities.
o Ability to work in a fast-paced and dynamic environment.
Preferred Qualifications:
● Certifications: Relevant certifications (AWS Certified DevOps Engineer, Docker Certified
Associate, etc.) are a plus.
● Education: Bachelor's degree in Computer Science, Engineering, or a any field is preferred.
Who can apply
Candidates who:
● Are local to Mumbai and suburbs(must come to office, it is not work from home) outside
Mumbai candidates will not be considered
● have own laptop or desktop
● are flexible to work on any technology
● openness to work in shifts (if required)
● are willing to travel to client site anywhere in India (if required)

About whitewhale software solution
About
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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.
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
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).
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.
IT professional with approximately 4 year experience. Expert in production support, application support, aws, application support devops engineer, linux, docker, github, jenkins, maven, tomcat server, kubernetes.
Job Description
The engineer will provide direct support to service development teams using the platform and maintain/develop platform components across CI pipelines, tool integrations, deployment architecture, monitoring, documentation, and self-service initiatives.
Responsibilities
- Support onboarding and technical discussions with development teams.
- Provide technical guidance and documentation.
- Support development engineers on CI/CD pipelines, deployments, logging and monitoring.
- Improve platform code, processes and documentation.
- Provide production infrastructure/operations support, including on-call support.
- Research product requirements and new technology rollouts.
Core Mandatory Skills
Kubernetes / Amazon EKS, Terraform, Terragrunt, AWS Cloud, Docker, CI/CD Pipelines, GitOps, Python / Go / Java, Cloud Operations / DevOps, Logging / Monitoring / Tracing, Incident Management
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.
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
Devops + Python
Mandatory: Python+Kubernetes Containerisation+ DevOps Exposure+ Cloud Exposure(any)
4-8 years /16 LPA
10+ years /26 LPA
Bangalore/Hyderabad
immediate to 15 days.
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.











