Top Tech Jobs & Startup Jobs

Build reliable, secure, and scalable backend software, including automated ETL pipelines across multiple data sources. Design distributed systems, cloud services, data pipelines, and APIs while balancing privacy, security, and reliability. Collaborate with internal users to understand requirements, guide workstreams, mentor junior developers, and support cross-platform, multi-tenant systems on modern cloud-native platforms.

Build and operate scalable analytical platform services, including cloud services, APIs, distributed systems, notebook experiences, Python and R SDKs, dashboards, and modern web applications. Collaborate with Product, Design, and Engineering teams to create secure, reliable, high-performance tools that help healthcare researchers explore and analyze large-scale datasets.

Leads the Platform Services engineering team in India, defining technical strategy and managing cloud infrastructure, Kubernetes platforms, backend services, identity and access management, CI/CD, observability, and developer tooling. The role combines hands-on architecture and technical leadership with people management, delivery oversight, platform reliability, cross-functional collaboration, hiring, and team development across globally distributed engineering organizations.

Supports HR operations and the employee lifecycle for Truveta’s India Development Center, including onboarding, employee records, HR queries, compliance, payroll coordination, and offboarding. Provides talent acquisition support through sourcing, interview coordination, candidate communication, ATS updates, offer coordination, and hiring reports. Also contributes to engagement, wellness, culture-building, employee communications, and broader People initiatives while improving HR processes.

10-week (minimum) software engineering internship in Greater Seattle, working on health-data and predictive AI projects. Interns write code using languages like Java, Python, .NET or C#, collaborate with engineering teams, manage time effectively, and present work. Hybrid role requiring several days per week onsite.

Lead business development and revenue growth for healthcare data, analytics, and technology solutions sold to hedge funds, private equity firms, venture capital investors, asset managers, investment banks, and other financial institutions. Own strategic accounts, prospecting, enterprise sales cycles, pipeline forecasting, executive relationships, solution selling, proposals, negotiations, and expansion opportunities. Collaborate cross-functionally with Product, Customer Success, Solutions, Engineering, Analytics, Marketing, and leadership teams while representing the company at industry events.

Provide Tier 1 and Tier 2 IT support for global employees across Windows and macOS devices, Microsoft 365, accounts, access, VPN, Wi-Fi, conference rooms, and cloud PCs. Manage onboarding and offboarding, hardware inventory, shipping, incidents, service requests, documentation, escalations, and process improvements. Support remote users while maintaining service-level response and resolution standards.

Analyze large-scale electronic health record and real-world data using SQL, R, and Python. Scope requests, produce research studies and results, write Databricks SQL regex queries, support customers, investigate data sources, collaborate on peer-reviewed publications, and create enablement materials for researchers.

Design, implement, and operate large-scale distributed data processing pipelines and ETL systems for healthcare data. Contribute across the software lifecycle, collaborate with cross-functional teams, debug production distributed-system issues, and apply cloud-native and DevOps practices to ensure reliable, performant data processing at scale.

Own strategic healthcare and life sciences customer relationships across onboarding, adoption, research execution, renewals, and expansion. Guide customers through clinical data and real-world evidence workflows, translate research goals into requirements and deliverables, coordinate cross-functional teams, provide training and executive communications, identify adoption risks, and advise customers on maximizing Truveta’s platform value.