Top Tech Jobs & Startup Jobs

Lead backend development for an AI-driven healthcare data platform: architect workflows, own end-to-end feature development, integrate enterprise customers, build scalable AI/ML pipelines, establish engineering best practices, and influence technical roadmap while meeting security and compliance requirements.

Lead research on tabular foundation models: invent new methods and tooling, set research direction, build real-world benchmarks and datasets, implement baselines, and create automated agentic pipelines with human-in-the-loop to scale evaluation and production use.

Open invitation to apply even if no matching job is listed. Applicants should state the role they want, why theyare about Astrocade, and highlight a project or achievement. Company will review submissions for current or future fits.

The Staff Controls & Automation Engineer will design and own a control architecture for chemical processes, focusing on automation, advanced controls, and cross-functional collaboration to optimize plant operations.

The Head of Partnerships will manage and scale partnerships for revenue generation, focus on automaker relationships, and negotiate complex agreements. This role requires strategic leadership and hands-on deal closing, while mentoring team members.

Customer-facing Solutions Architect leading technical design and implementation of API integrations across accounting, commerce, and banking platforms. Advocate for customers to influence product roadmap, build demos and docs, automate onboarding with AI orchestration, and support pre-sales and post-sales efforts to ensure scalable, reliable integrations.

Develop web applications and user interfaces using Java, Python, and C/C++. Implement Java frameworks, web UI (AngularJS/JavaScript/HTML/CSS), databases, cryptographic technologies, and web services. Work on Windows/Linux, use IDEs and source control, and follow secure software development practices for federal contracts requiring active TS/SCI with polygraph.

Design, maintain, and troubleshoot high-volume dataflows and NiFi cluster environments. Implement and deploy integrations, manage Elastic clusters, create Kibana dashboards, script in Python, and support containerized Linux/Docker deployments. Perform system upgrades, deployments, and operational support for data ingestion pipelines.

The role involves supporting, troubleshooting, and maintaining IT systems, managing IT operations, and optimizing system performance for various devices and operating systems.

Manage key customer accounts and ensure satisfaction by maximizing ROI from Sardine's fraud prevention products, while collaborating with internal teams.

Design and run evaluation frameworks to assess third-party vendor data for fraud detection. Build lift analyses, backtests, and champion/challenger tests; profile vendor datasets for quality and coverage; collaborate with fraud, product, and data engineering to define ingestion and testing requirements; translate findings into actionable recommendations and maintain an internal knowledge base; support ad hoc analyses on fraud trends and model performance.

As an Engineering Manager, lead a team of engineers, coaching their development while ensuring quality results and implementing engineering processes.

As a Site Reliability / Gitops Engineer, you will automate operations, develop Infrastructure as Code, maintain core services, and collaborate on service architecture.

The role involves developing software for Linux-based systems on autonomous devices, optimizing performance and ensuring reliability in various hardware environments.

In the Content & Storytelling role, you will create videos and written content to showcase Netic's customers and their success stories using AI.

As a Founding Product Infrastructure Engineer, you will enhance system infrastructure for AI agents, focusing on reliability, scalability, and best practices. Responsibilities include managing CI/CD, databases, performance, and operational standards while planning for future growth.

Own end-to-end product design: research, prototype (using AI tools), iterate, ship, and refine. Build interaction patterns between humans and AI, create and maintain a scalable design system, collaborate with engineers and PMs, and set design team foundations.