DEVOPS ENGINEER (MUMBAI, ON-SITE)

Joining and work location: Mumbai, strictly on-site at the client

Experience: 2–4 years | Joining: Immediate | Employment: Full time, XenonStack Private Limited

About Xenonstack

XenonStack is a Data and AI Foundry for Agentic Systems, enabling enterprises to design, deploy, operate, and scale intelligent agents across digital and physical environments. We build enterprise-grade platforms across the agentic stack:

Akira AI - Reasoning and agent orchestration.
ElixirData - Agentic analytics intelligence. Explainable, decision-centric analytics for measurable business outcomes.
NexaStack - Agentic infrastructure automation. Secure, compliant AI deployment across cloud, edge, and on-prem.
MetaSecure - Trust, compliance and defense. Continuous assurance with AI-BOMs, risk scoring, and agentic security.

Our mission is to accelerate the world's transition to AI + Human Intelligence by making agentic systems reliable, responsible, and enterprise-ready.

About The Engagement

We are building a Managed Services team to support a large-scale enterprise data platform. The platform spans Cloudera on AWS, an on-premises Oracle data warehouse, Oracle GoldenGate replication, Apache Spark for ETL and data processing, and Alation for data governance. L1 support is handled by our existing team; this role is part of L2/L3 operations.

ROLE MISSION

Support and automate the AWS-based infrastructure and deployment processes of the data platform, improving reliability, observability and release quality.

Key Responsibilities

Manage and support AWS infrastructure for the data platform in production.
Build and maintain CI/CD pipelines and manage deployments and releases.
Automate infrastructure provisioning and operational tasks.
Set up and maintain monitoring, alerting and observability for platform components.
Provide production support, troubleshoot infrastructure and deployment issues, and contribute to RCA.
Manage configuration, environments and access in line with client security policies.
Work with DataOps and Security teams to support the Cloudera environment and Spark workloads.
Maintain documentation for pipelines, automation and runbooks.

REPORTING

Reports to the Managed Services delivery lead; works with the DataOps and Data Security teams.

How We Work With Ai

AI is part of the daily workflow at XenonStack, not an add-on.

Within XenonStack's own systems, AI tools are open for use: log and incident analysis, runbook and RCA drafting, scripting and documentation.
At the client site in Mumbai, you follow the client's compliance and information security policy: use only client-approved tools, and never put client data, logs, credentials, queries or configurations into any tool the client has not approved.
Every AI-assisted output is verified by you before it is relied on or shared.
Come ready to talk about what is in your AI stack, how you verify its output, and how you keep it compliant in a regulated environment.

What Success Looks Like

Releases go out through the pipeline with a tested rollback, not by hand.
Alerts catch platform issues before users report them.
Repetitive manual tasks replaced by automation each month.
No secrets or access outside client security policy.

Must-have Skills

Hands-on AWS (EC2, S3, VPC, IAM, CloudWatch)
CI/CD tools (Jenkins, GitLab CI or equivalent) and Git
Scripting in Python and/or Shell
Linux administration
Monitoring and observability tools (Grafana, Prometheus, Splunk or similar)

Good-to-have Skills

Infrastructure as Code (Terraform, CloudFormation) and configuration management (Ansible)
Docker and Kubernetes
Familiarity with Cloudera or distributed data processing environments

CANDIDATE PROFILE

B.E./B.Tech/MCA or equivalent; AWS certification is an advantage
Experience supporting enterprise production environments; regulated-industry exposure preferred
Strong automation mindset and clear communication

HIRING PROCESS

Pre-screening assessment (about 10 minutes, at application) → Technical interview (video) → Technical assessment round (live video; in person at our Mohali office for Chandigarh Tricity candidates) → HR and Leadership round → Background verification → Offer.

TERMS

Joining and work location: Mumbai, strictly on-site at the client.
Immediate joining.
Regulated production environment; background verification (BGV) is mandatory.
Support model: 16x5 core support with P1 24x7 on-call, on a rotational basis, as per the client's support model.
Relocation support and on-call allowance are discussed at the offer stage.
Compensation as per company policy and budget band.

How We Work

We value deep work, clarity, and execution over activity. You will be expected to clarify, plan, execute, and escalate with options, not wait to be told. Ownership sits with the individual, and outcomes are measured, not effort.

OUR VALUES

Agency - Be self-directed and proactive | Taste - Sweat the details and build with precision | Ownership - Take responsibility for outcomes | Mastery - Commit to continuous learning and growth | Impatience - Move fast and challenge inertia | Customer Obsession - Always put the customer first

WHY JOIN US

Run a large-scale enterprise data platform.
AI-first environment: work alongside the agentic platforms we build.
Great Place to Work-Certified, 14+ years, headquartered in Mohali.

DevOps Engineer (Mumbai, On-site)