DevOps and Cloud Engineer

Location : Mumbai

Big Picture (The Opportunity) :

Are you looking for an opportunity to advance your Career? & If you are able to maintain a positive attitude even when everything goes wrong, if you are detail oriented and self motivated with a passion to learn and improve your skills and knowledge, we have a perfect job for you !

What do we want from you ? (Our Expectations) :

• Zero to 2 years experience in Linux Operating System.
• Flexible working hours - able to support occasional nights, weekends, and call-ins, able to quickly adapt to a constantly changing faced paced environment. Open to travel to sites.
• An ideal person who is excited and motivated about running and supporting a production - grade critical infrastructure and looks for opportunities to improve processes with automation.

What are you required to do ? (Your Responsibilities) :

• Proactively maintain and develop all linux infrastructure technology to maintain a 24*7*365 uptime service.
• Engineering of systems administration-related various solutions for our various SAAS products and projects as well as operational needs.
• Proactively monitoring system performance and capacity planning.
• Providing technical support to customers for Applications, Operating systems, and networking.
• Will also be the first point of contact for our clients, where installations are placed on a permanent basis, for basic troubleshooting and problem solving.
• Fault finding, analysis and logging information for reporting of performance exceptions.
• Maintain best practices on managing systems and services across all environments.

Skills & Qualification Required (Add Value) :

• Graduate - Preferred to have Bachelor‘s Degree in Engineering, Computer Science or related field.
• He / She should be familiar with the installation and configuration of Linux operating systems and setup and operation of TCP/IP networking on Linux systems also familiar with Internet concepts including SMTP, IMAP, POP, HTTP, DNS, LDAP and related protocols.
• You should possess excellent communication skills .
• Knowledge of Email concepts, Helpdesk Concept , VoIP Concept , Cloud computing will be an added advantage.

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).

DevOps / Infrastructure Engineer

Location: Chennai

Experience: 5+ Years

Role: DevOps / Infrastructure Engineer

Job Description

We are looking for an experienced DevOps / Infrastructure Engineer with strong hands-on experience in Linux administration, containerization, Kubernetes, automation, monitoring, and troubleshooting.

Mandatory Skills

• 5+ years of experience in DevOps / Infrastructure Administration
• Strong hands-on experience with Linux Administration
• Experience with Docker and Kubernetes
• Monitoring tools: AppDynamics, Prometheus, Grafana
• Strong Shell Scripting / Python Scripting skills
• Hands-on experience with Ansible 4.1
• Strong troubleshooting and problem-solving skills
• Experience in infrastructure/application monitoring and production support
• Good understanding of DevOps practices and automation

Key Responsibilities

• Manage and support Linux-based infrastructure and production environments.
• Deploy, manage, and troubleshoot applications using Docker and Kubernetes.
• Develop and maintain automation scripts using Shell/Python.
• Automate infrastructure and configuration management using Ansible.
• Monitor applications and infrastructure using AppDynamics, Prometheus, and Grafana.
• Perform root-cause analysis and resolve infrastructure/application issues.
• Handle incidents, troubleshoot performance issues, and ensure system availability.
• Collaborate with development and operations teams to improve deployment and operational processes.

Strong Hands-On DevOps Engineer Profile with deep Kubernetes and multi-cloud experience

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Mandatory (Experience 1): Must have 6+ years of hands-on DevOps experience, deploying, operating, troubleshooting, and scaling enterprise SaaS environments.

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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).

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Mandatory (Tech skill 1): Must have strong hands-on Kubernetes experience — troubleshooting, networking, workloads, storage, RBAC, and security

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Mandatory (Tech skill 2): Must have hands-on Helm experience — deployment, templating, and troubleshooting.

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Mandatory (Tech skill 3): Must have hands-on Terraform experience — infrastructure provisioning and automation

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Mandatory (Tech skill 4): Must have strong Linux and cloud infrastructure troubleshooting skills

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Mandatory (Tech skill 5): Must have hands-on experience with observability — metrics, logs, traces, and alerting

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Mandatory (Tech skill 6): Must have hands-on experience with one or more of AWS / GCP / Azure / OCI

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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