Top Tech Jobs & Startup Jobs

Build and maintain Java backend services, REST APIs, and full-stack web application features. Develop frontend functionality with modern JavaScript frameworks, use Python for supporting work, and leverage AI coding tools such as Claude Code. Write tests, debug issues, support deployment and maintenance, and collaborate on design decisions, code reviews, and application quality improvements.

Lead end-to-end client AI transformation engagements: discover and frame executive problems, design and build production-credible PoAs (data pipelines, integrations, LLM/RAG apps) within 2–3 weeks, present to executives, hand off to delivery, mentor junior FDEs, and convert PoAs into full engagements.

Design, develop, and deliver scalable software systems and APIs across the full lifecycle. Lead architecture, integrate AI/ML components, implement microservices/serverless and CI/CD, ensure security, observability, and performance, mentor engineers, and collaborate with product and business stakeholders to meet timelines and quality standards.

Develop and operate production AI/ML systems, including distributed model infrastructure, automated evaluation and testing, GPU optimization, secure CI/CD, and performance analytics. The role owns features end to end from architecture through production, performs model benchmarking and error analysis, and manages reliable deployment across multi-node clusters.

Build enterprise applications and polished user interfaces for agentic AI experiences. Own full-stack features from frontend architecture through backend integration, testing, deployment, and production support. Develop React and TypeScript interfaces for multi-step agent workflows, tool calling, approvals, retrieval, state management, errors, and human-in-the-loop interactions. Integrate APIs, agent orchestration layers, and enterprise systems while contributing to backend development, architecture reviews, reliability, and production engineering.

Lead technical vision and architecture for enterprise ML platforms and MLOps. Design training, feature, serving, and observability systems; establish ML lifecycle and governance; solve complex cross-team engineering problems; mentor senior engineers; evaluate emerging AI technologies; drive cost optimization, compliance, and organizational alignment.

Lead technical vision and architecture for a large software platform. Drive system design, platform capabilities (APIs, event-driven systems, data pipelines), cloud and DevOps practices, and AI/LLM integration. Solve cross-team technical problems, set engineering standards, mentor senior engineers, and align engineering with product and business strategy while ensuring reliability, security, and cost optimization.

Develop and support enterprise Power BI dashboards, reports, semantic models, and data transformations. Build advanced DAX and Power Query solutions, integrate Python for processing and analytics, optimize performance, implement security and governance, and manage Power BI Service deployment and refresh processes. Collaborate remotely with business and technical stakeholders during EST hours, document solutions, participate in peer reviews, and improve development standards.

Plan and drive cross-functional programs from design through launch. Coordinate teams, milestones, dependencies, risks, and deliverables while monitoring metrics and dashboards. Partner with product, engineering, marketing, operations, and go-to-market stakeholders to align priorities, resolve gaps, and maintain execution. Present clear progress updates, risks, trade-offs, and recommendations to senior leaders, adapting plans and improving processes to deliver measurable customer and business impact.

Support, maintain, troubleshoot, and optimize production Databricks applications, Spark jobs, SQL queries, Delta Lake pipelines, clusters, workflows, and workspace configurations. Implement data quality checks, logging, alerting, governance, security, and cost-management practices. Collaborate on enhancements and bug fixes, reduce technical debt, document operational processes, and participate in EST-aligned support rotations.