"Linux Administrator"

Job Title : Senior DevOps Engineer (Only Mumbai Candidates)

Experience : 5+ Years

Location : Mumbai (On-site)

Notice Period : Immediate to 15 Days

Interview Process : 1 Internal Round + 1 Client Round

Mandatory Skills :

Multi-Cloud (AWS/GCP/Azure – any two), Kubernetes, Terraform, Helm (writing Helm Charts), CI/CD (GitLab CI/Jenkins/GitHub Actions), GitOps (ArgoCD/FluxCD), Multi-tenant deployments, Stateful microservices on Kubernetes, Enterprise Linux.

Role Overview :

We are looking for a Senior DevOps Engineer to design, build, and manage scalable cloud infrastructure and DevOps pipelines for product-based platforms.

The ideal candidate should have strong experience with Kubernetes, Terraform, Helm Charts, CI/CD, and GitOps practices.

Key Responsibilities :

• Design and manage scalable cloud infrastructure across AWS/GCP/Azure.
• Deploy and manage microservices on Kubernetes clusters.
• Build and maintain Infrastructure as Code using Terraform and Helm.
• Implement CI/CD pipelines using GitLab CI, Jenkins, or GitHub Actions.
• Implement GitOps workflows using ArgoCD or FluxCD.
• Ensure secure, scalable, and reliable DevOps architecture.
• Implement monitoring and logging using Prometheus, Grafana, or ELK.

Good to Have :

• Packer, OpenShift/Rancher/K3s, On-prem deployments, PaaS experience, scripting (Bash/Python), Terraform modules.

Job Title : DevOps Engineer

Experience : 3+ Years

Location : Mumbai

Employment Type : Full-time

Job Overview :

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.

Mandatory Skills :

✅ Helm, Kubernetes, Docker

✅ Jenkins, ArgoCD, GitOps

✅ Cloud Networking (VPCs, bare metal vs. VMs)

✅ Storage (MinIO, Ceph, NFS, S3/EBS)

✅ Air-gapped & multi-tenant deployments

Key Responsibilities :

• Build and customize Helm charts from scratch.
• Implement CI/CD pipelines using Jenkins, ArgoCD, GitOps.
• Manage containerized deployments across on-prem/cloud setups.
• Work on air-gapped and restricted environments.
• Optimize for scalability, monitoring, and security (Prometheus, Grafana, RBAC, HPA).

Role Overview:

Virtana is looking for a Senior DevOps Engineer to join our R&D Infrastructure team. In this role, you won't just follow conventions — you'll help redefine them. You will own the architecture, build, and day-to-day operations of the GCP-based cloud platform that powers Virtana's SaaS products and the AI-driven observability experience our Global 2000 customers depend on. This is a hands-on senior individual contributor role with meaningful technical leadership scope, working alongside engineers and architects on a unified observability platform.

Work Location: Pune

Job Type: Hybrid

Role Responsibilities:

• GCP Cloud Operations: Develop, deploy, operate, and support production cloud infrastructure primarily on GCP — leveraging GKE, BigTable, BigQuery, Dataflow, Cloud Storage, IAM, and core networking services.
• Reliability & SLAs: Ensure production systems are running at all times with multiple levels of redundancy to meet committed SLAs; lead incident response, root cause analysis, and post-incident reviews.
• Build & Release Automation: Design, implement, and continuously improve scalable CI/CD pipelines and test frameworks leveraged by QA and development teams across the company.
• Infrastructure as Code: Manage large-scale, repeatable deployments using Terraform, Ansible, Puppet, or SaltStack; champion Git-based workflows and version control standards for distributed engineering teams.
• Security & Availability: Maintain the ongoing maintenance, security, patching, and availability of services in line with tight operations, security, and procedural models.
• Monitoring & Alerting: Plan and deliver high-value monitoring and alerting features to support operations, support, and customer-facing reliability — eating our own dog food with the Virtana Platform wherever possible.
• Capacity & Cost: Forecast capacity, plan upgrades, patches, and migrations, and drive cloud cost efficiency across hybrid and multi-cloud environments.
• Cross-Functional Partnership: Work with development, operations, and support personnel to identify, isolate, and diagnose issues; handle support escalations and drive permanent fixes.

Required Qualifications:

• Bachelor's degree in Computer Science / Engineering or equivalent relevant experience.
• 5–7 years of professional hands-on DevOps / SRE experience supporting production cloud environments.
• Strong, demonstrable production experience on GCP — including GKE, BigTable, BigQuery, Dataflow, IAM, and core GCP networking services.
• Deep, hands-on expertise with container orchestration (Kubernetes) and Docker in production.
• Advanced proficiency with at least one infrastructure-as-code / configuration management tool: Terraform, Ansible, Puppet, or SaltStack.
• Solid understanding of networking, firewalls, load balancers, DNS, and database operations.
• Strong working knowledge of Git-based workflows and version control standards for distributed engineering teams.
• Comfort operating hybrid environments that include both Linux and Windows ecosystems.
• Excellent verbal and written communication skills, with the ability to explain highly technical topics to both technical and non-technical audiences.
• Self-motivated, detail-oriented, and able to work both independently and within a globally distributed team.

Good to Have:

• Strong scripting skills and a demonstrated ability to automate operational toil — Python preferred; Bash, Go, or Groovy a plus.
• Hands-on experience designing and operating CI/CD pipelines with Jenkins (Spinnaker, GitHub Actions, or GitLab CI also welcome).
• Exposure to AWS or other public clouds in addition to GCP.
• Experience operating SaaS platforms built on microservices architectures.

As a SaaS DevOps Engineer, you will be responsible for providing automated tooling and process enhancements for SaaS deployment, application and infrastructure upgrades and production monitoring.

• Development of automation scripts and pipelines for deployment and monitoring of new production environments.

• Development of automation scripts for upgrades, hotfixes deployments and maintenance.

• Work closely with Scrum teams and product groups to support the quality and growth of the SaaS services.

• Collaborate closely with SaaS Operations team to handle day-to-day production activities - handling alerts and incidents.

• Assist SaaS Operations team to handle customers focus projects: migrations, features enablement.

• Write Knowledge articles to document known issues and best practices.

• Conduct regression tests to validate solutions or workarounds.

• Work in a globally distributed team.

What achievements should you have so far?

• Bachelor's or master’s degree in Computer Science, Information Systems, or equivalent.

• Experience with containerization, deployment, and operations.

• Strong knowledge of CI/CD processes (Git, Jenkins, Pipelines).

• Good experience with Linux systems and Shell scripting.

• Basic cloud experience, preferably oriented on MS Azure.

• Basic knowledge of containerized solutions (Helm, Kubernetes, Docker).

• Good Networking skills and experience.

• Having Terraform or CloudFormation knowledge will be considered a plus.

• Ability to analyze a task from a system perspective.

• Excellent problem-solving and troubleshooting skills.

• Excellent written and verbal communication skills; mastery in English and local language.

• Must be organized, thorough, autonomous, committed, flexible, customer-focused and productive.

Required qualifications and must have skills  

• 5+ years of experience managing a team of 5+ infrastructure software engineers 

• 5+ years of experience in building and scaling technical infrastructure 

• 5+ years of experience in delivering software 

• Experience leading by influence in multi-team, cross-functional projects 

• Demonstrated experience recruiting and managing technical teams, including performance management and managing engineers 

• Experience with cloud service providers such as AWS, GCP, or Azure 

• Experience with containerization technologies such as Kubernetes and Docker 

Nice to have Skills   

• Experience with Hadoop, Hive and Presto 

• Application/infrastructure benchmarking and optimization 

• Familiarity with modern CI/CD practices 

• Familiarity with reliability best practices 

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.

Job Description :

• Extensive exp. with K8s (EKS/GKE) and k8s eco-system tooling e,g., Prometheus, ArgoCD, Grafana, Istio etc.
• Extensive AWS/GCP Core Infrastructure skills
• Infrastructure/ IAC Automation, Integration - Terraform
• Kubernetes resources engineering and management
• Experience with DevOps tools, CICD pipelines and release management
• Good at creating documentation(runbooks, design documents, implementation plans )

Linux Experience :

1. Namespace
2. Virtualization
3. Containers

Networking Experience

1. Virtual networking
2. Overlay networks
3. Vxlans, GRE

Kubernetes Experience :

Should have experience in bringing up the Kubernetes cluster manually without using kubeadm tool.

Observability                              

Experience in observability is a plus

Cloud automation :

Familiarity with cloud platforms exclusively AWS, DevOps tools like Jenkins, terraform etc.

About the job

Our goal

We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)

The culture

We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.

The role:

Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.

On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).

By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.

Responsibilities

• Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
• Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
• Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
• Continually evaluate and improve DevOps processes for a cloud-native codebase.
• Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
• Leverage your industry experience to champion engineering best practices within the organization.

Qualifications

Work Experience

• 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
• Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
• Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
• 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
• Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
• (Bonus: worked with big data in data lakes/warehouses).
• (Bonus: built an end-to-end ML pipeline)

Skills

• Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
• Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
• Strong independent contributor as well as a team player.
• Working knowledge of ML and familiarity with concepts of MLOps

Benefits

• Competitive Salary
• Work Remotely
• Health insurance
• Unlimited Time Off
• Support for continual learning (free books and online courses)
• Reimbursement for streaming services (think Netflix)
• Reimbursement for gym or physical activity of your choice
• Flex hours
• Leveling Up Opportunities

You will excel in this role if

• You have a product mindset. You understand, care about, and can relate to our customers.
• You take ownership, collaborate, and follow through to the very end.
• You love solving difficult problems, stand your ground, and get what you want from engineers.
• Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.

• Install, configuration management, performance tuning and monitoring of Web, App and Database servers.
• Install, setup and management of Java, PHP and NodeJS stack with software load balancers.
• Install, setup and administer MySQL, Mongo, Elasticsearch & PostgreSQL DBs.
• Install, set up and maintenance monitoring solutions for like Nagios, Zabbix.
• Design and implement DevOps processes for new projects following the department's objectives of automation.
• Collaborate on projects with development teams to provide recommendations, support and guidance.
• Work towards full automation, monitoring, virtualization and containerization.
• Create and maintain tools for deployment, monitoring and operations.
• Automation of processes in a scalable and easy to understand way that can be detailed and understood through documentation.
• Develop and deploy software that will help drive improvements towards the availability, performance, efficiency, and security of services.
• Maintain 24/7 availability for responsible systems and be open to on-call rotation.

• Health Memberships 
• Sports Subscriptions 
• Entertainment Subscriptions 
• Key Conferences and Event Passes
• Learning Stipend 
• Team Lunches and Parties 
• Travel Reimbursements 
• ESOPs