Top Tech Jobs & Startup Jobs

Design and implement backend services and high-scale data pipelines to ingest, enrich, index, and serve billions of records. Own features end-to-end, write testable efficient code, contribute to architecture, perform code reviews, support production (deployments, troubleshooting, incidents), and apply AI/LLM tooling to improve development and delivery.

Lead design and build scalable data pipelines, data models, and ETL/ELT workflows. Mentor data engineers, set coding standards, improve data architecture and tooling, partner with Product and Platform teams, and deliver monitoring, data quality, and automation to support Data Operations.

Design, build, and maintain backend services and large-scale data pipelines that ingest, transform, enrich, and index billions of records. Own features end-to-end, contribute to architecture, write testable performant code, perform reviews, support production systems, and collaborate with product and data science teams. Apply AI/LLM tooling to improve development and delivery.

Lead a small engineering team while writing production Java backend code daily. Design and own data ingestion, enrichment, entity resolution, and search-indexing systems. Ensure reliability, performance, observability, and technical quality; mentor engineers; collaborate with product and partners; drive down technical debt; use cloud, containerization, and CI/CD best practices to deliver scalable services.

The HR Business Partner will support leaders and employees across departments, manage employee relations, and improve talent programs, ensuring compliance with laws and policies.

Lead and scale FP&A functions: manage budgeting, rolling forecasts, scenario and variance analysis, driver-based models, resource/headcount planning, ROI and investment evaluations, KPI definition, dashboards, and automation/AI-enabled workflows while partnering with senior leaders to inform decisions and improve financial planning processes.

Design, build, deploy, and maintain production ML/GenAI systems focused on NLP tasks (summarization, semantic search, classification, prediction). Collaborate cross-functionally to operationalize models, build scalable data pipelines, ensure model monitoring/compliance, and mentor junior engineers while contributing to architecture and best practices.

Lead and scale a GTM analytics team delivering end-to-end insights across Sales, Marketing, and Customer Success. Partner with Data Engineering and Systems teams, own executive reporting (Tableau, Salesforce), establish standards, drive data governance, pilot AI-assisted analytics, and translate complex GTM metrics into actionable narratives for senior leaders.

Lead one or more full‑stack engineering teams to deliver high‑quality microservices and web services. Drive technical direction, execution, OKRs, mentoring, code quality, and cross‑team collaboration while removing roadblocks and ensuring on‑time delivery. Apply Java/Spring, messaging, cloud, caching, and persistence expertise to scalable, performant solutions and foster an inclusive, Agile culture.

Lead a small engineering team building and operating scalable data ingestion, enrichment, and search systems. Write production backend code, design distributed pipelines and APIs, drive architecture/quality, mentor engineers, reduce technical debt, own service reliability and performance, and collaborate with product and stakeholders to delivery features using cloud, containerization, and observability best practices.