DevOps Engineer at Wissen Technology · Pune, Mumbai, Bengaluru (Bangalore) · 4 - 9 years · Profitable · Posted 20 Jan 2025

Job Summary:
We are seeking a skilled DevOps Engineer to join our dynamic team. The ideal candidate will be responsible for managing, maintaining, and troubleshooting Rancher clusters, with a strong emphasis on Kubernetes operations. This role requires expertise in automation through shell scripting and proficiency in configuration management tools like Puppet and Ansible. Candidates should be highly self-motivated, capable of working on a rotating schedule, and committed to owning tasks through to delivery.
Key Responsibilities:
- Set up, operate, and maintain Rancher and Kubernetes (K8s) clusters, including on bare-metal environments.
- Perform upgrades and manage the lifecycle of Rancher clusters.
- Troubleshoot and resolve Rancher cluster issues efficiently.
- Write, maintain, and optimize shell scripts to automate Kubernetes-related tasks.
- Work collaboratively with the team to implement best practices for system automation and orchestration.
- Utilize configuration management tools like Puppet and Ansible (preferred but not mandatory).
- Participate in a rotating schedule, with the ability to work until 1 AM as required.
- Take ownership of tasks, ensuring timely delivery with high-quality standards.
Key Requirements:
- Strong expertise in Rancher and Kubernetes operations and maintenance.
- Experience in setting up and managing Kubernetes clusters on bare-metal systems is highly desirable.
- Proficiency in shell scripting for task automation.
- Familiarity with configuration management tools like Puppet and Ansible (good to have).
- Strong troubleshooting skills for Kubernetes and Rancher environments.
- Ability to work effectively in a rotating schedule and flexible hours.
- Strong ownership mindset and accountability for deliverables.

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 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.
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Required Skills:
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We’re looking for an experienced DevOps Engineer to design, build, and manage Kubernetes-based deployments for a microservices data discovery platform.
The ideal candidate has strong hands-on expertise with Helm, Docker, CI/CD pipelines, and cloud networking — and can handle complex deployments across on-prem, cloud, and air-gapped environments.
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🚀 Job Title : DevOps Engineer / Site Reliability Engineer (SRE)
Experience Level : 4+ Years
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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.
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2. CI/CD, Automation & Development :
- Design, end-to-end maintain, and optimize robust CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
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3. Containerization & Orchestration :
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4. Observability, SRE & Incident Management :
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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.
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- Manage and troubleshoot Linux servers, bare-metal infrastructure, and server environments.
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- Strong hands-on experience with AWS
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Job Title : DevOps Engineer / Site Reliability Engineer (SRE)
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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
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- Handle production incidents, Root Cause Analysis (RCA), and improve system reliability.
- Collaborate with development teams to support application releases and automation.
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- 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.
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- Hands-on experience with application deployment and production support.
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- Strong practical Linux and cloud knowledge.
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- Ability to troubleshoot both infrastructure and application issues.
- Experience handling live production incidents.
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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.
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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.
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- Manage Kubernetes clusters, configure namespaces, services, deployments, and auto scaling. CI/CD & Release Management
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- Experience Required - 6+ yrs.
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Strong Hands-On DevOps Engineer Profile with deep Kubernetes and multi-cloud experience
2
Mandatory (Experience 1): Must have 6+ years of hands-on DevOps experience, deploying, operating, troubleshooting, and scaling enterprise SaaS environments.
3
Mandatory (Experience 2): Must be able to own end-to-end customer deployments across cloud and enterprise environments (the role covers cloud, BYOC, air-gapped, and data-center deployments).
4
Mandatory (Tech skill 1): Must have strong hands-on Kubernetes experience — troubleshooting, networking, workloads, storage, RBAC, and security
5
Mandatory (Tech skill 2): Must have hands-on Helm experience — deployment, templating, and troubleshooting.
6
Mandatory (Tech skill 3): Must have hands-on Terraform experience — infrastructure provisioning and automation
7
Mandatory (Tech skill 4): Must have strong Linux and cloud infrastructure troubleshooting skills
8
Mandatory (Tech skill 5): Must have hands-on experience with observability — metrics, logs, traces, and alerting
9
Mandatory (Tech skill 6): Must have hands-on experience with one or more of AWS / GCP / Azure / OCI
10
Mandatory (Tech skill 7): Must have a strong incident-management and production-troubleshooting mindset, with a "fix first, optimize later" approach to customer escalations.
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Mandatory (Company): B2B SaaS product companies
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Preferred (Enterprise deployments): Prior experience with BYOC, air-gapped, or restricted-network environments.
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Preferred (Observability tools): Prometheus / Grafana / OpenTelemetry / ELK / OpenSearch / Datadog
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Preferred (Other): GitOps / CI-CD; Python or Golang for automation; multi-tenant SaaS infrastructure scaling; exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors; SRE concepts (SLIs/SLOs, DR, high availability
About the Role
The non-negotiable is deep, hands-on infrastructure expertise spanning hybrid cloud and self-hosted systems. You will architect and maintain our unique infrastructure combining AWS CDN, bare metal servers, and Kubernetes clusters. This is not just maintenance work: you will establish company-wide DevOps policy, build security-hardened environments, and create the documentation and processes that scale with us. You will design our CI/CD pipelines, implement zero-trust networking, and guide the technical team on how to keep our production systems robustly online. This role is hands-on, autonomous, and sets the standard for how we approach infrastructure as the company grows.
What You'll Build
- Hybrid Infrastructure Management: Architect and maintain our unique infrastructure spanning AWS CDN, bare metal servers, and Kubernetes clusters for computationally intensive facial analysis workloads.
- CI/CD Pipeline Architecture: Design and implement CircleCI or Jenkins pipelines with comprehensive build testing, versioning, and change logging.
- Zero-Trust Networking: Build and maintain mesh topology networks using Tailscale or Wireguard to securely connect our hybrid infrastructure.
- Security-First Culture: Establish and enforce security policies including key rotation, access controls, compliance frameworks, and employee security management.
- Infrastructure as Code: Document and codify all infrastructure decisions, creating repeatable, auditable deployments.
- Containerization Strategy: Implement and optimize Docker/K8s deployments for our AI/ML workloads.
- Cost Optimization: Continue our approach of strategic compute placement using owned, rented or borrowed infrastructure where it makes financial sense without sacrificing security or reliability.
- Observability & Monitoring: Implement comprehensive logging, monitoring, and alerting across our distributed systems.
What We're Looking For
- 5+ years of DevOps or infrastructure engineering experience, with a track record of building from scratch
- Hybrid infrastructure expertise: experience managing both cloud (AWS) and self-hosted infrastructure, understanding the tradeoffs and security risks of each
- Kubernetes production experience: deep knowledge of cluster design, operations, and scaling
- Networking mastery: strong understanding of VPCs, mesh networks, VPNs, and zero-trust architectures
- Security-first mindset: experience with security compliance, key management, IAM policies, and hardening production systems
- CI/CD expertise: hands-on experience building robust pipelines for build testing before deployment
- Infrastructure as Code: proficiency with Terraform, Ansible, or similar tools
- Scripting and automation: strong Python, Bash, or Go skills for tooling and automation
- Policy and documentation: ability to establish best practices and document them clearly for team adoption
- Leadership mentality: comfortable setting standards and directing technical decisions, not just executing them
Nice to Have
- Experience architecting infrastructure for AI/ML workloads
- Background in a fast-moving startup or scale-up environment
- H ands-on experience with cost optimization across cloud and on-premises infrastructure
Why Join
- Opportunity to solve real healthcare problems with cutting-edge technology
- Well-funded startup with a strong market presence
- Work with advanced AI technology in a healthcare context
- Collaborate with a talented team in a fast-paced environment
- Competitive salary with equity options
- Performance and quarterly bonuses
- Professional development opportunities
Compensation and Logistics
- Remote, full-time
- Reports to: Head of Engineering
- Compensation: $1,000–$3,000 USD/month, depending on experience and technical expertise.






