Navi Mumbai Maharashtra Devops Jobs – 141 Open Jobs Today

Digital Solutions Consultant I
Worley —Navi Mumbai, Maharashtra
- Azure
- Oracle
- Master's degree
1h
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General Mills —Powai, Mumbai, Maharashtra
- Full-time
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Fleet Management —Andheri, Mumbai, Maharashtra
- Azure
- Oracle
- System design
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Fleet Management —Andheri, Mumbai, Maharashtra
- Oracle
- English
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Nagarro —Unknown, Maharashtra
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Rhosigma Engineering —Thane District, Maharashtra
- Full-time
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Digital Solutions Consultant I

Worley -
Navi Mumbai, Maharashtra

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Job details

1 hour ago

Qualifications

CI/CD
Power BI
Azure
Oracle
Law
MCP
Master's degree
RBAC
AWS
Continuous integration
Unity
APIs
ServiceNow
Solution architecture
AI
Identity & access management

Full job description

About us

Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions.

The Role

As a Digital Solutions Consultant I with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc.

Possess strong architectural and implementation knowledge of enterprise AI solutions leveraging Databricks AI Gateway as a centralized control plane for: LLM access, Agent orchestration, Model governance, Policy enforcement, Telemetry collection, Rate limiting, Prompt protection, Observability.
Work in close collaboration with Cloud, DevOps, Security, Infrastructure, and Platform Engineering teams to design and operationalize unified agentic AI workflow platforms across cloud and on-prem ecosystems.
Demonstrate expertise in integrating enterprise AI services and platforms including AWS Bedrock, Azure AI Foundry, ServiceNow AI Agents, Oracle AI Services, NVIDIA on-prem AI infrastructure using Run.AI, MCP servers and direct agent integrations.
Partner with observability and platform teams to design enterprise-grade telemetry and observability pipelines using Open Telemetry (OTEL).
Collaborate with Security and Governance teams to ensure telemetry, traces, logs, prompts, model outputs, alerts, and usage metrics from external systems are consolidated into: Databricks MLflow, Databricks system tables, Unity Catalog governed environments.
Work alongside Security Operations and SIEM teams to enable downstream integrations with Azure SIEM / Microsoft Sentinel for enterprise monitoring, governance, and security operations.
Possess strong understanding of secure AI access patterns and collaborate with Security and IAM teams to implement: Managed identities, Federated identities, IAM, RBAC, Least privilege access models.
Partner with business, operations, and platform teams to build operational and executive dashboards using: Power BI, Databricks Dashboards.
Collaborate with Cloud and FinOps teams to monitor and optimize: LLM usage costs, Agent execution costs, Infrastructure utilization, API consumption.
Work with enterprise API management and DevOps teams to design and operationalize integrations using: Azure API Management (APIM), AWS API Gateway.
Support automation, CI/CD integration, platform reliability, governance enforcement, and operational excellence initiatives in coordination with DevOps and SRE teams.
Contribute to enterprise AI platform standards, reusable architecture patterns, security controls, governance frameworks, and operational best practices.

About You

To be considered for this role it is envisaged you will possess the following attributes:

We are seeking a highly motivated and hands-on Technical Solution Architect (with 15+ years of experience) to help design and implement a unified enterprise AI and agentic workflow platform centered around Databricks AI Gateway.
The role requires strong architectural knowledge across enterprise AI ecosystems, observability, governance, cloud platforms, security frameworks, and operationalization of large-scale AI/LLM environments.
The ideal candidate should possess a deep understanding of Databricks, AI/LLM platforms, multi-cloud architectures, observability frameworks, identity and access management, API gateways, and enterprise governance models.
The architect will collaborate extensively with Cloud Engineering, DevOps, Platform Engineering, Security, Infrastructure, and Operations teams to deliver a centralized, secure, observable, scalable, and governed enterprise AI platform across cloud and on-prem environments.

Apply Now

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Digital Solutions Consultant I

Data Quality Engineer

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Full Stack Java + PHP Developer

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