Top Tech Jobs & Startup Jobs

Own production reliability for an AI Experience Framework: operate Kubernetes deployments, monitor and troubleshoot distributed Node.js and Java/JVM services, run incident response/on-call duties, implement CI/CD and GitOps (Helm/ArgoCD/Flux), build observability with Prometheus/Grafana/Splunk, and collaborate on reliability improvements and root-cause analysis.

Design, develop, and maintain scalable .NET/ASP.NET applications across the full SDLC. Work with Azure PaaS, MS SQL/Azure SQL, Angular, and Azure DevOps (Git, CI/CD). Deliver solutions, perform code reviews, create technical documentation and tests, collaborate with Product Owners, troubleshoot production issues, and improve system quality and processes.

Design, develop, and maintain UI and API automation frameworks; build reusable components and CI/CD-integrated test pipelines; optimize test execution and reporting; mentor team members; drive automation strategy and code reviews; implement AI-driven testing solutions and collaborate with cross-functional teams to ensure software quality.

Design, build, and deploy LLM-based and Generative AI solutions, implement RAG pipelines with vector databases, optimize prompts, integrate models into cloud apps/APIs, and research/apply new AI tools and agent-based automations.

Join a fintech QA team to design, develop, and execute manual and automated E2E tests (Playwright preferred). Identify, document, and track bugs, collaborate with cross-functional teams, maintain test frameworks, and improve QA processes while working CT hours.

Develop and maintain a cloud-native data ecosystem focusing on metadata management and data quality, integrating solutions with analytical tools, and collaborating with various teams.

Join a cross-functional product team as a Senior Backend Engineer to design and implement resilient, secure .NET microservices. Responsibilities include building and maintaining APIs, diagnosing performance issues, writing comprehensive tests, addressing security vulnerabilities, interpreting code metrics to improve maintainability, and collaborating directly with clients while staying current with technical trends.

Design and build reusable Databricks Lakehouse PySpark pipelines, implement data models (fact/dimension, SCD Type 2), enable incremental/idempotent loads, optimize performance, implement event-driven integrations, collaborate on Azure cloud resources, and improve data platform architecture.