Top Tech Jobs & Startup Jobs

Design and modernize enterprise-scale data platforms using Azure, Databricks, Microsoft Fabric, Synapse, and Spark. Lead data architecture strategy, modeling, integration, governance, metadata, lineage, security, lakehouse design, semantic layers, scalable pipelines, and AI/ML-ready architectures. Collaborate with senior business and technology stakeholders while remaining hands-on with technical design and implementation. Experience with GenAI, vector databases, and financial services is preferred.

Design and develop scalable web applications with a primary focus on React-based front-end development. Build reusable UI components, integrate REST APIs and backend services using Java or Scala, work with engineering, product, and data teams, and troubleshoot and optimize production systems. Participate in code reviews, automated testing, CI/CD, and continuous improvement of software engineering practices.

Deliver fractional technical consulting for integrating Amazon Connect with Salesforce Voice and Service Cloud Voice. Responsibilities include architecture assessments, hands-on configuration, Lambda and API integration support, troubleshooting, testing, UAT, deployment support, documentation, and client knowledge transfer. The engagement is remote, capped at 20 hours weekly, and totals approximately 160 hours over 2 to 2.5 months.

Build and maintain scalable full-stack applications using React, Next.js, Nest.js, Node.js, AWS Lambda, PostgreSQL, and Kafka/MSK. Develop frontend features and backend APIs, collaborate with engineers, own technical deliverables, and produce clean, production-ready code. The role is remote but requires US-based candidates available during US business hours and able to start quickly.

Designs, develops, and maintains enterprise integrations using Informatica Cloud Application Integration. Builds REST and SOAP API workflows, configures connectors, manages error handling and logging, troubleshoots production issues, performs testing and deployments, and documents solutions. Collaborates with business and technical teams on integration requirements while supporting databases, authentication, and SDLC processes.

Designs and maintains scalable Databricks and Spark data pipelines, including ETL/ELT workflows, Delta Lake transformations, data quality checks, and performance optimization. Works with cloud platforms, data warehousing, modeling, CI/CD, monitoring, and production support. Troubleshoots large-scale data processing issues and collaborates with engineers, data scientists, analysts, and business teams. Preferred experience includes Unity Catalog, orchestration tools, streaming technologies, infrastructure automation, and Databricks certifications.

Build production AI-powered automation, data pipelines, analytics, alerting, and anomaly detection systems. Integrate LLM features with internal tools, develop cloud and platform services, and collaborate with stakeholders to automate manual processes. Engineers specialize initially in AI, data, or platform engineering while contributing across tracks through pairing, code review, and shared delivery. The role requires strong API and data-handling skills, production engineering experience, clear communication, and willingness to work from the Chennai office during US Eastern overlap hours.

Build and maintain automated testing for products using C# and Selenium. Collaborate with local teams and coordinate execution with offshore engineers, while supporting mobile automation with Appium and potentially transitioning automation work to Playwright. Apply web development fundamentals including HTML, CSS, JavaScript, and TypeScript. Lead cross-team coordination and collaborate remotely, with occasional in-person work in the Redmond area.