Top Tech Jobs & Startup Jobs

Develop, deploy, and test cloud-native microservices on an established MSP using Java, Node.js, and/or Python. Build RESTful APIs, containerize services (Docker/Kubernetes/Helm), implement CI/CD and GitOps, ensure security (OAuth2/JWT, Keycloak), add observability (OpenTelemetry, Prometheus, APM), work with AWS/Azure, author API tests (Postman), and validate AI-generated code. Collaborate on integration, functional, unit, and performance testing.

Design and implement end-to-end data and analytics solutions on Microsoft Fabric. Lead architecture for lakehouse, data warehouse, pipelines (batch/streaming), semantic models (Power BI), governance, security (RBAC, lineage), performance optimization, and integrations with Azure and external systems. Provide technical leadership, mentorship, and governance for scalable, cost-effective Fabric platforms.

Design, build, and scale enterprise Databricks Lakehouse platforms. Lead architecture, platform standardization, ingestion frameworks (batch/stream), governance, performance/cost optimization, cloud integration, and mentor engineering teams.

Lead end-to-end delivery of Databricks-based enterprise data platform programs. Drive cross-functional teams (data engineering, data science, DevOps, BI), define architecture standards, manage roadmaps, risks, KPIs, and stakeholder reporting. Oversee Delta Lake, medallion architecture, ETL/ELT and streaming pipelines, platform optimization, governance, security, and Agile/SAFe delivery.

Design and govern enterprise data architecture and solutions (data lakes, warehouses, lakehouses). Build end-to-end ingestion, storage, processing, integration, and consumption layers. Define models, governance, lineage, and security. Lead cloud data platforms, optimize performance/cost, advise stakeholders, and mentor data engineers.

Design, develop, and maintain Teradata data warehouse solutions. Optimize complex SQL queries, manage indexing/partitioning/statistics, automate ETL with Teradata utilities, perform DBA tasks (backup/DR/security), monitor performance with TASM/Viewpoint, troubleshoot issues, and mentor junior engineers.

Design, develop, and maintain Teradata data warehouse solutions. Write and optimize complex Teradata SQL. Manage indexing, partitioning, and statistics. Build ETL using Teradata utilities and UNIX shell scripts. Monitor with TASM and Viewpoint. Perform DBA tasks (backup, DR, security), troubleshoot performance, collaborate with stakeholders, and mentor junior engineers.

Design, build, and scale Azure ML solutions and data pipelines for LLMs, RAG, and agentic AI systems. Implement MLOps/DataOps practices, run A/B tests, monitor production models, and collaborate with stakeholders to deliver AI-driven decision support.

Design, develop, and maintain ETL/ELT pipelines and stored procedures using Oracle Data Integrator. Build and document data warehouse schemas (fact/dimension), write and execute SQL, profile and validate data, apply data governance and quality practices, and use Python for API-based ingestion. Communicate with stakeholders and resolve data issues.

Lead SRE role managing multi-cloud (AWS/Azure) production systems, Kubernetes clusters, and PostgreSQL. Build IaC with Terraform/Ansible, implement observability and incident management (Prometheus/Grafana/Datadog/ELK), define SLOs/SLIs, drive vulnerability remediation, run on-call rotations, and collaborate on capacity planning, DR, and post-mortems to improve reliability.