Top Tech Jobs & Startup Jobs

Design, build, and deploy production-grade AI applications, agents, retrieval systems, integrations, and workflows for enterprise customers. Lead technical discovery, architecture workshops, prototyping, troubleshooting, deployments, and go-live support. Translate customer needs into scalable solutions and reusable engineering patterns, while providing product feedback that informs roadmaps. Partner with Product, Sales Engineering, Customer Success, and Engineering teams, and mentor customer-facing engineers. Travel to customer sites as needed.

Build and improve cloud-native infrastructure, internal developer tooling, platform-as-a-service capabilities, CI/CD workflows, and Infrastructure-as-Code practices. Collaborate with platform and application engineers to improve developer experience, deployment reliability, observability, and productivity. Troubleshoot infrastructure issues, adopt AI-assisted development tools, explore LLM-powered operational solutions, and develop modern platform engineering skills through mentorship.

Develop and maintain cross-platform mobile applications using .NET MAUI and C#. Integrate RESTful APIs and backend services, manage SQL-based data persistence, optimize mobile performance, and troubleshoot asynchronous lifecycle issues. Collaborate with UX designers and backend engineers to deliver intuitive, reliable applications.

Lead the design, development, and maintenance of scalable test automation frameworks for UI, API, and integration testing. Develop performance-testing strategies, execute automated and load tests, analyze results, and resolve bottlenecks with engineering teams. Lead testing efforts, improve test coverage, manage defects, support Agile planning, collaborate cross-functionally, and mentor junior QA engineers while advocating for quality and process improvements.

Lead enterprise and domain data modeling across conceptual, canonical, logical, physical, and business models. Translate business concepts into scalable data structures, facilitate stakeholder workshops, establish business glossaries, and align models with governance, metadata, MDM, analytics, AI, reporting, and data stewardship initiatives. Support engineering teams implementing cloud and lakehouse solutions while serving as a domain architecture lead for durable, flexible modern data platforms.

Design, build, deploy, and troubleshoot production-grade AI applications, integrations, pipelines, and agentic workflows for customers. Lead technical discovery, workshops, architecture discussions, prototyping, and go-live support. Translate customer needs into reliable systems and product feedback, establish reusable engineering patterns, collaborate across Product, Sales Engineering, Customer Success, and Engineering, and mentor customer-facing engineers. Travel to customer sites as needed.

Design, build, optimize, and maintain scalable Databricks data pipelines and ETL/ELT workflows. Manage CI/CD with Azure Pipelines and Azure Key Vault, improve performance and cost efficiency, implement data quality and governance practices, troubleshoot distributed systems, collaborate with stakeholders, and support cloud data platform modernization initiatives.

Design, build, and deploy production-grade AI applications, integrations, pipelines, and agentic workflows for customers. Lead discovery, prototyping, architecture workshops, technical troubleshooting, and customer go-lives. Integrate LLMs, retrieval systems, tools, and orchestration into enterprise environments, establish reusable engineering patterns, mentor customer-facing engineers, and translate customer feedback into product and engineering priorities.

Design, build, and maintain scalable backend services and data pipelines primarily in Python while supporting and enhancing Java services on GCP. Integrate LLM/AI capabilities, enforce AppSec practices, modernize cloud infrastructure, conduct code reviews, and collaborate with product, data, and infrastructure teams to deliver reliable, tested backend solutions.

Design, develop, and maintain scalable backend systems using PHP and modern frameworks. Own database integrations (SQL/NoSQL), automated testing, CI/CD, and collaborate in Agile teams. Provide technical leadership, mentor peers, and ensure best practices in architecture and code quality.