Top Tech Jobs & Startup Jobs

Design and build scalable data pipelines and distributed processing systems on Databricks. Lead technical design, develop advanced data models, champion CI/CD and IaC, ensure operational reliability, mentor engineers, and collaborate cross-functionally to support analytics and ML use cases.

Hands-on platform administrator/engineer who stabilizes and scales a data platform via IaC, automation, CI/CD, and operational support. Manage tickets, design Terraform modules, write SQL and Python utilities, configure user identities/permissions, collaborate with data engineers, and document runbooks and deployment patterns.

Install, document and maintain BMS/control systems (Trend, Schneider, Ignition, Niagara). Design control solutions, provide Level 3 technical support, prepare reports and proposals, liaise with clients and service companies, ensure ISO9001 and ISO27001 compliance, and support presales and project delivery.

Lead functional design and hands-on configuration of Workday Financial modules. Gather and translate finance requirements, build business process configurations and reports, support UAT/testing and production deployments, provide post-go-live support, and partner with finance teams to improve processes and ensure compliance with accounting standards.

Senior Technical Business Analyst responsible for end-to-end BA delivery across ServiceNow, Power Platform, and .NET/web apps. Lead discovery, decompose epics into stories, manage ADO backlog, design and run UAT, identify AI/automation opportunities, map processes, analyze data, and mentor junior BAs to drive measurable automation and delivery outcomes.

Design, deploy, and maintain production Kubernetes clusters and cloud-native infrastructure. Build Python automation, integrate Prometheus monitoring and Ceph storage, troubleshoot distributed systems, support platform modernization and migrations, document runbooks, and participate in on-call incident response with cross-team collaboration.

Lead migration of applications into Kubernetes, build and maintain deployment automation, configure Helm-based deployments, troubleshoot integration/runtime issues across AWS and Azure, validate post-migration performance, and document migration runbooks while collaborating with platform and application teams.

Lead design and delivery of end-to-end cloud data solutions, build and maintain data lakes/warehouses and pipelines, translate business requirements into architectures, ensure technical quality, act as client technical lead, mentor engineers, and drive engineering standards and project planning.

Senior AWS Data Engineer to design and operate AWS-based data solutions and Snowflake-centric platforms. Build data pipelines, implement Snowflake AI components, design data marts/warehouses/lakes, produce architecture drafts, and collaborate with architects and stakeholders for handoff to operations.

Build and maintain end-to-end full-stack features: backend services (Python/Node), front-end dashboards (React/Next), AI pipelines and automations (LangChain, n8n, OCR), third-party integrations, deployment, and monitoring. Own problems from scoping to deployment and iterate with product and users.