Top Tech Jobs & Startup Jobs in Mumbai

Leads network security and governance, risk, and compliance initiatives for clients. Responsibilities include managing WAF, load balancing, firewalls, switching and routing; developing security policies, controls, implementation plans, and risk assessments; conducting GRC maturity assessments; coordinating SOC 2 and ISO 27001 audits; advising on regulatory requirements; analyzing security data; and delivering security awareness training.

Manage and secure network infrastructure, including F5 and Citrix load balancers, WAF, firewalls, and related controls. Assess customer security postures, identify vulnerabilities, conduct audits, and recommend risk mitigation strategies. Design and implement security policies and technologies, collaborate with customers and vendors, and help secure IT infrastructure and applications. Stay current with emerging threats, cloud security, Zero Trust, cyber resiliency, and industry frameworks.

Drive profitable growth by managing client relationships at the CXO level, leading complex consulting engagements, and achieving financial targets. Foster team development and ensure delivery excellence.

As a Cloud Architect, you'll lead architecture workshops, automate AWS deployments, and design advanced cloud-based solutions for clients, ensuring projects are delivered on time and within budget.

Customer-facing engineer who scopes, prototypes, and deploys production-ready GenAI and agentic AI solutions. Responsibilities include end-to-end delivery, optimization, knowledge capture, and contributing to platform evolution while working onsite with customers.

The role involves designing and implementing OneStream XF solutions, focusing on financial consolidation, integrations, and module configurations, while supporting users during UAT.

The Data Scientist will develop and implement GenAI solutions, focusing on NLP and AI technologies. Responsibilities include working on LLM projects and collaborating with teams to integrate AI solutions into cloud environments.

Build and deploy production-ready generative and agentic AI solutions for customers. Responsibilities include customer engagement, rapid prototyping, multi-agent orchestration, RAG implementation, end-to-end deployment, performance optimization, security, documenting deployment insights, and contributing code and feedback to AI platforms. The role combines engineering, consulting, and product collaboration, often working directly on customer premises.

Build and deploy production-ready generative and agentic AI solutions directly with customers. Responsibilities include translating business needs into technical solutions, rapidly prototyping, developing multi-agent systems and RAG architectures, deploying and optimizing scalable systems, troubleshooting performance and reliability issues, documenting field learnings, and contributing code and feedback to internal AI platforms. The role requires customer engagement, technical communication, continuous learning, and willingness to work on customer premises and travel as needed.

Develop and deploy Generative AI solutions, engage with customers, and integrate AI/ML into cloud environments, requiring strong expertise in AI technologies and hands-on experience.