Junior DataOps 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

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.

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.

Monitor and support production data pipelines, ETL jobs and scheduled workflows on the Cloudera and Oracle data platform, resolving routine failures and escalating complex issues to senior engineers.

- Monitor data pipelines, Spark jobs, ETL workflows and scheduler runs, and act on failures and delays.

- Troubleshoot Spark job failures, data load issues and routine data processing problems.

- Support day-to-day operations of the Cloudera and Oracle data platform.

- Log, track and resolve incidents within agreed SLAs; escalate to L3 or senior engineers with clear diagnostics.

- Maintain runbooks, incident records and shift handover documentation.

- Run routine health checks and operational reports.

Reports to the Senior DataOps Engineers and the Managed Services delivery lead.

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.

- Job failures picked up and acted on within the agreed SLA.

- Escalations arrive with clear diagnostics, so seniors do not have to start from scratch.

- Runbooks and shift handovers are complete and current.

- Repeat failures reduced by fixing root causes, not just rerunning jobs.

- Hands-on experience supporting Apache Spark jobs (log analysis, failure triage, reruns)

- Strong SQL and working knowledge of Oracle

- Linux fundamentals and shell commands

- Monitoring production batch or ETL jobs using a scheduler (Control-M, Autosys, Airflow or similar)

- Incident management using an ITSM tool (ServiceNow, Jira or similar)

- Exposure to the Cloudera/Hadoop ecosystem (HDFS, Hive, YARN)

- Familiarity with Oracle GoldenGate and Alation

- Basic Python or shell scripting

- B.E./B.Tech/MCA/B.Sc. (IT/CS) or equivalent

- Experience in an enterprise production support environment; regulated-industry exposure preferred

- Strong troubleshooting ability, clear communication and willingness to work in shifts

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.

- 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.

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.

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

- 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.