Top Tech Jobs & Startup Jobs in Mumbai

Administer and support Microsoft 365 productivity platforms, resolve escalated technical issues, design permanent solutions and automations, lead projects, deliver trainings, create reports, and collaborate across teams to improve service stability.

Process inbound pharmacy-related documents and faxes, perform data entry, identify and create adverse event reports, research and resolve order/document issues, and meet service level requirements in a high-volume customer service environment.

Designs and delivers data analytics and BI solutions across the analytics lifecycle, produces actionable insights, solves complex problems independently, mentors junior staff, and contributes to policies and technical solutions for large-scope projects.

Assess business opportunities and promote data science adoption. Build, test, and operationalize ML and GenAI solutions; design ML/LLM pipelines (RAG, prompt engineering). Develop scalable cloud functions and microservices, integrate APIs with ApigeeX, monitor performance, and collaborate with stakeholders to drive solution adoption.

Develop social-first creative and short-form video for multiple healthcare brands: design ads and banners, concept/produce/edit video, optimize for engagement and conversion, collaborate with marketing, and deliver high-volume assets on tight deadlines.

Design, deploy, and operate containerized and serverless platforms on GKE, manage the enterprise Harness CI/CD platform, build standardized GitOps/IaC pipelines, embed DevSecOps controls, monitor platform health, onboard application teams, enforce policy-as-code governance, and collaborate with security and stakeholders to ensure secure, scalable, and repeatable deployments.

Lead SOX and internal control activities for data management and governance: develop control frameworks, manage testing and remediation, partner with audit/IT/process owners, track control effectiveness, and mitigate fraud and operational risks.

Designs, develops, and sustains Android applications within cross-functional teams. Works on moderate-scope projects, identifies and resolves technical issues, applies engineering best practices, and collaborates with business partners to maintain and enhance applications.

Prioritize and quantify enterprise cyber risk by correlating threat intelligence, vulnerabilities, attack paths, and business impact. Model exploitable attack scenarios across identity, cloud, network, and endpoints. Partner with red/blue teams to assess likelihood and impact, support risk scoring and reporting, track remediation and residual risk, and communicate risk posture to security leadership, GRC, and engineering to influence security investments.

Lead post-deployment operations and optimization of Agentic AI, LLM integrations, and Python-based analytical pipelines. Supervise a data science operations team, ensure secure high-availability production systems, manage integrations with enterprise systems (SAP, Salesforce, Postgres), and drive continuous improvement, monitoring, and adoption of analytics solutions.