Top Tech Jobs & Startup Jobs

Lead the reliability, stability, observability, and scalability of Seekr’s software platform. Design and implement systems, networks, and services that meet SLAs; develop monitoring, automation, and failure-detection solutions; conduct load testing; manage observability tools; troubleshoot production and deployment issues; and support incident response. Collaborate closely with software engineering teams across hybrid cloud and on-premises environments.

Build and scale applications and tools powering AI products, agents, and enterprise solutions. Responsibilities include shipping production-ready features, shaping scalable and reliable architecture, mentoring engineers, driving technical decisions and engineering best practices, collaborating with Product, QA, and business teams, and translating abstract ideas into actionable engineering work. The role requires expertise in Python, distributed systems, APIs, databases, containers, streaming technologies, testing, CI/CD, and AI-assisted development.

Build SeekrFlow Edge Builder, a platform for packaging, deploying, and operating trustworthy AI solutions across edge, cloud, on-premises, disconnected, and air-gapped environments. Responsibilities include developing orchestration, lifecycle management, model serving, optimization, security, observability, testing, APIs, diagnostics, and recovery capabilities. The role requires collaboration across AI, platform, infrastructure, security, product, and customer engineering teams, plus technical documentation and troubleshooting across complex deployment environments.

Own end-to-end product design for major areas of an enterprise AI platform. Lead user discovery, systems-level UX, information architecture, interaction frameworks, prototyping, design system evolution, and implementation specifications. Partner closely with Product and Engineering to navigate technical constraints and roadmap tradeoffs. Design for technical and enterprise users, including AI/ML engineers, data scientists, domain experts, and executives.

Lead end-to-end commercial and technical engagements to translate enterprise business problems into production-grade, explainable AI solutions. Define requirements, scope deployments, partner with engineers and designers, quantify business impact and ROI, drive adoption and training, and act as trusted advisor during implementation and change management.

Lead full-cycle recruiting for AI, software, embedded, product/design, and DevOps roles across Commercial and Public Sector. Build talent pipelines, partner with hiring managers, manage offers and compliance, implement recruiting processes, track metrics, and scale the in-house TA function across North America and Europe.

Lead manual QA for UI and API surfaces, design and execute test plans in TestRail, use Claude AI and MCP for test generation and analysis, own regression and release validation, perform advanced API testing with Postman, triage defects in JIRA, mentor junior QA engineers, and improve SDLC testability and processes.

The AI Engineer/Research Scientist will develop explainability and contestability features for AI systems, ensuring outputs are understandable, reliable, and continually improved based on user feedback and evaluations.

The Senior DevOps Engineer will design, operate, and enhance Kubernetes platforms, manage networking, and automate infrastructure while ensuring security and scalability across environments.

The Director of Product Management will lead Explainability and Contestability initiatives, define product strategy, and ensure AI systems behave transparently and effectively across the platform.