Opening for Cloud Developer at Wissen Technology · Mumbai · 5 - 10 years · Profitable · Posted 25 Jun 2025

Key Skills Required:
- Strong hands-on experience with Terraform
- Proficiency in CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps, etc.)
- Experience working on Azure or GCP cloud platforms (at least one is mandatory)
- Good understanding of DevOps practices

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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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.
Experience: 4+ Years
Job Title: DevOps Engineer / Cloud Engineer
Job Summary
We are looking for an experienced DevOps & Cloud Engineer with 4+ years of experience in cloud infrastructure management, Kubernetes administration, CI/CD pipeline automation, and containerization. The ideal candidate should have hands-on experience with Azure cloud services, Azure Kubernetes Service (AKS), Azure DevOps, Jenkins, Docker, Terraform, and infrastructure automation.
The candidate will be responsible for managing cloud environments, automating application deployments, maintaining Kubernetes clusters, monitoring system performance, and ensuring the reliability, scalability, security, and availability of applications across development, testing, and production environments.
Key Responsibilities
- Design, deploy, and manage cloud infrastructure using Microsoft Azure services, including Virtual Machines, Virtual Networks, Storage Accounts, Load Balancers, Key Vaults, and Resource Groups.
- Manage and administer Azure Kubernetes Service (AKS), Azure Arc-enabled Kubernetes, and Kubernetes clusters.
- Develop, configure, and maintain CI/CD pipelines using Azure DevOps and Jenkins for automated application builds, testing, and deployments.
- Containerize applications using Docker and deploy microservices-based applications on Kubernetes.
- Manage Kubernetes resources, including Pods, Deployments, StatefulSets, Services, Ingress, ConfigMaps, Secrets, and Namespaces.
- Automate infrastructure provisioning and configuration management using Terraform, Ansible, and Infrastructure as Code (IaC) practices.
- Implement Kubernetes networking, load balancing, Role-Based Access Control (RBAC), autoscaling, and resource optimization.
- Monitor infrastructure and application performance using Prometheus and Grafana.
- Troubleshoot application, deployment, networking, container, and infrastructure-related issues and perform root cause analysis.
- Implement disaster recovery procedures, backup validation, failover testing, patch management, and environment upgrades.
- Manage source code repositories, branching strategies, pull requests, code merges, and version control using Git, GitHub, and Azure Repos.
- Maintain cloud infrastructure security, compliance, governance, high availability, and operational reliability.
- Collaborate with development, infrastructure, and security teams to implement DevOps best practices and improve deployment efficiency.
Mandatory Technical Skills
- Cloud Platforms: Microsoft Azure, Azure Virtual Machines, Virtual Networks, Storage Accounts, Load Balancers, Key Vaults.
- Containerization & Orchestration: Docker, Kubernetes, Azure Kubernetes Service (AKS).
- CI/CD & Automation: Azure DevOps, Jenkins, CI/CD pipeline development and maintenance.
- Infrastructure as Code: Terraform; exposure to Ansible and automated configuration management.
- Monitoring & Version Control: Prometheus, Grafana, Git, GitHub, Azure Repos.
Preferred Skills
- Azure Arc-enabled Kubernetes.
- VMware Tanzu Kubernetes Grid (TKG).
- Kubernetes Service Mesh, Ingress Controllers, and Horizontal Pod Autoscaling (HPA).
- RHEL Linux administration and Shell Scripting.
- Groovy scripting and SQL fundamentals.
- Disaster recovery, incident management, and production support.
- Experience supporting microservices architectures and application migration activities.
Qualifications
- Bachelor’s degree in Engineering (B.E.) or an equivalent qualification.
- 4+ years of experience in DevOps engineering, cloud infrastructure, Kubernetes administration, and deployment automation.
- Strong troubleshooting, analytical, and problem-solving skills.
- Ability to work collaboratively with cross-functional teams and manage infrastructure-related incidents.
Key Deliverables
- Reliable, scalable, and secure cloud infrastructure.
- Automated and efficient CI/CD pipelines.
- Stable Kubernetes clusters and containerized application deployments.
- Reduced infrastructure provisioning and deployment time through automation.
- Effective monitoring, incident resolution, and disaster recovery readiness.
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.
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.
About the company:
We empower US healthcare payers with a truly next-generation, cloud-native, holistic, and customizable platform designed to prevent and adapt to the ever-evolving inaccuracies in healthcare claims and payments. By reducing complexity and administrative costs, we offer a unified, healthcare-dedicated platform backed by top VCs like BeeNext, 3One4 Capital, and Saison Capital.
Position Overview:
We are looking for an experienced DevOps Engineer to join our team in Bengaluru. In this role, you will be responsible for building, optimizing, and maintaining scalable, secure, and highly available multi-cloud infrastructure that supports our engineering teams. The ideal candidate brings strong hands-on experience with Kubernetes, Infrastructure as Code (Terraform), and robust monitoring/observability stacks to enable seamless, reliable, and automated deployments.
Key Responsibilities:
- Container Orchestration: Deploy, scale, and manage containerized workloads on Kubernetes (EKS, AKS, and GKE).
- Infrastructure as Code (IaC): Build and maintain modular, reusable, and version-controlled infrastructure using Terraform across AWS, Azure, and GCP.
- Monitoring & Observability: Set up, manage, and optimize monitoring, logging, and alerting stacks (e.g., Prometheus, Grafana, ELK/EFK, Loki, Datadog).
- CI/CD Pipeline Management: Own, improve, and automate CI/CD pipelines to enable fast, reliable, and frictionless software releases.
- System Reliability & SRE Practices: Implement best practices for system reliability, including defining SLIs/SLOs, managing incident response, and participating in on-call support.
- Troubleshooting & Support: Diagnose and resolve complex production issues across infrastructure, networking, and application layers.
- Security & Compliance: Implement infrastructure security best practices, including IAM policies, secrets management, and network security.
- Automation: Eliminate repetitive operational tasks by writing clean, efficient scripts in Python, Bash, or Go.
- Operations & Planning: Participate in capacity planning, cost optimization, disaster recovery, and infrastructure scaling initiatives while maintaining clear documentation and runbooks.
Requirements :
- Solid working experience with cloud providers, specifically AWS, Azure, or GCP.
- Strong understanding of containerization (Docker) and container orchestration concepts.
- Familiarity with Linux system administration and networking fundamentals.
- Experience with version control systems (Git) and GitOps workflows (ArgoCD/Flux is a plus).
- Strong problem-solving skills and the ability to thrive in a fast-paced, collaborative environment.
Qualifications :
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related technical field (or equivalent practical experience)
Key Skills:
- The ideal candidate must possess deep expertise in container orchestration, specifically hands-on experience managing Kubernetes ecosystems—including Helm charts, cluster networking, and RBAC policies—alongside a foundational mastery of Docker containerization.
- Proficiency in managing cloud architecture as software is essential, with a heavy emphasis on Terraform execution, including advanced module creation, state management, and multi-environment workspaces.
- A strong capability to implement full-stack visibility is required, utilizing tools like Prometheus, the Grafana LGMT stack, ELK/EFK, or Loki to build highly optimized monitoring, alerting, and logging systems.
- Candidates should have a proven track record of constructing and scaling automated deployment pipelines using industry-standard platforms such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps to minimize release friction. .
- Strong core programming fundamentals are required to automate repetitive infrastructure tasks, with practical proficiency in Python, Bash, or Go.
- Familiarity with cutting-edge cloud-native technologies is highly desirable, including enterprise service meshes (Istio, Linkerd), comprehensive cloud security frameworks (HashiCorp Vault, OPA, Trivy), and a data-driven approach to cloud cost management and FinOps practices.
Work Location: Jayanagar - Bangalore.
Work Mode: Work from Office, hybrid- 3 days WFO
Note: We are looking for immediate joiners & Bangalore Candidates only
Benefits:
- Best-in-class compensation
- Health insurance for Family
- Personal Accident Insurance
- Friendly and Flexible Leave Policy
- Certification and Course Reimbursement
- Medical Coding CEUs and Membership Renewals
- Health checkup
- And many more!
- 3 years of relevant experience in DevOps, Site Reliability Engineering (SRE), cloud operations, or application production support.
- Strong practical understanding of AWS cloud services, including compute, storage, IAM, networking, security, and monitoring.
- Good Linux administration skills, including system troubleshooting, performance analysis, log investigation, and service management.
- Hands-on experience with GitLab CI/CD, including pipeline configuration, execution, troubleshooting, YAML files, variables, artifacts, and GitLab Runners.
- Mandatory hands-on experience with Infrastructure as Code (IaC), preferably Terraform, including infrastructure provisioning, configuration management, reusable modules, state management, and troubleshooting deployment issues.
- Working knowledge of Git, branching strategies, merge requests, and version control workflows.
- Good understanding of networking fundamentals, including DNS, TCP/IP, ports, routing, load balancers, and AWS security groups.
- Ability to systematically investigate and resolve infrastructure, application, and deployment issues using logs, metrics, monitoring tools, and dependency analysis.
- Working knowledge of Python or Shell scripting for operational automation and troubleshooting.
- Strong problem-solving skills, communication, collaboration, willingness to learn, and ownership of incidents through resolution.
Preferred Skills and Experience
- Basic SQL knowledge for application and database-related operational investigations.
- Experience with AWS monitoring and logging services, particularly Amazon CloudWatch.
- Familiarity with incident, problem, and change management processes in production environments.
- Exposure to operational automation, proactive monitoring, alert optimization, and root cause analysis (RCA).
- Understanding of cloud infrastructure best practices, including security, reliability, availability, and cost optimization.
- Experience supporting containerized applications using Docker, Kubernetes, or Amazon EKS would be an advantage.
We are seeking a highly skilled Senior DevOps Engineer with 8+ years of professional experience to join our team. In this role, you will design, implement, and optimize cloud infrastructure and CI/CD processes.
You will collaborate closely with development, QA, and operations teams to deliver scalable, secure, automated, and reliable solutions on AWS.
The ideal candidate will have strong hands-on experience with AWS, Terraform, Git/GitHub, Jenkins, PowerShell, Python, AWS Systems Manager (SSM) Documents, and Active Directory (AD) administration, along with a passion for automation, efficiency, and operational excellence.
Key Responsibilities
- Design, build, and maintain scalable cloud infrastructure on AWS.
- Develop and manage Infrastructure as Code (IaC) using Terraform.
- Build, maintain, and optimize CI/CD pipelines using Jenkins and GitHub.
- Use AWS Systems Manager (SSM) to support operational automation and system administration.
- Automate system tasks and administrative workflows using PowerShell and other scripting languages.
- Create, maintain, and execute custom SSM Documents for configuration management, patching, automation, and troubleshooting.
- Manage and administer Active Directory (AD), including users, groups, permissions, policies, authentication, and integration with AWS services.
- Implement and manage version-control workflows in Git and GitHub.
- Ensure infrastructure and deployment processes follow best practices for security, reliability, scalability, and cost optimization.
- Monitor and troubleshoot production systems to ensure high availability, performance, and reliability.
- Collaborate with development teams to improve software delivery processes and release management.
- Mentor junior engineers and contribute to the development of DevOps standards and best practices.
Required Skills and Experience
- 8+ years of professional experience, including at least 4 years in DevOps or Site Reliability Engineering (SRE) roles.
- Strong hands-on experience with AWS services, including EC2, VPC, IAM, S3, EKS, Lambda, and related services.
- Proven expertise in Terraform for Infrastructure as Code.
- Experience administering both Linux and Windows operating systems.
- Experience designing and managing CI/CD pipelines using Jenkins and GitHub.
- Proficiency with Git workflows and source-code management best practices.
- Strong PowerShell scripting skills; familiarity with Python and/or Bash is a plus.
- Experience with AWS Systems Manager (SSM), including creating and managing SSM Documents.
- Hands-on experience managing Active Directory, including users, groups, policies, authentication, permissions, and AWS integration.
- Solid understanding of cloud networking, security, monitoring, and troubleshooting.
- Excellent problem-solving, communication, collaboration, and decision-making skills.
Nice-to-Have Skills
- Experience with containerization and orchestration technologies, such as Docker, Kubernetes, and Amazon EKS.
- Knowledge of monitoring and observability tools, such as Amazon CloudWatch, New Relic, and Sumo Logic.
- An AWS certification, such as AWS Certified DevOps Engineer – Professional or AWS Certified Solutions Architect.
Who You Are
- You are eager to learn new technologies and continuously improve your skills.
- You make sound decisions and take ownership of your work.
- You are proactive, self-motivated, and comfortable taking initiative.
- You are a strong communicator who enjoys collaborating with cross-functional teams.
- You are committed to improving processes, automation, reliability, and operational efficiency.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Job Description:
- Job title : Senior DevOps Engineer (On-Premises Automation)
- Experience: 8+ years
- Location: Chennai / Pune / Hyderabad / Bangalore
- Shift: UK Shift
- Work Mode: Onsite (WFO)
Roles and Responsibilities:
- This engagement automates end-to-end infrastructure build provisioning across on-prem and Azure. The team will build a shared ServiceNow-led intake, approval, orchestration, and closed-loop status model, using Jenkins/Ansible for on-prem builds and Azure DevOps/Terraform for cloud builds. Automation includes standards, security/compliance controls, scan gates, CMDB/change updates, and handover.
Key Responsibilities:
- Lead secure and repeatable on-prem build provisioning pipelines
- Lead Jenkins CI/CD for automated on-prem provisioning and configuration.
- Create pipeline templates for VM/physical host, OS deployment, configuration, certification, and rollback.
- Embed hardened-image validation, scan gates, secrets handling, approvals, and audit evidence.
- Lead Ansible roles, PowerShell modules, test automation, and code reviews.
- Implement logging, monitoring, and root-cause analysis; support UAT and hypercare.
Required Qualifications:
- 8–10 years in DevOps, platform engineering, or infrastructure automation.
- Bachelor’s degree or equivalent experience.
- Jenkins
- Git, CI/CD
- Ansible, PowerShell
- Python, IaC
- security scanning, secrets management
- Windows/Linux.
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
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.












