Design and implement microservices and APIs that handle production traffic with measurable uptime and latency targets
Identify and fix performance bottlenecks in code or infrastructure, quantifying the impact of your optimizations
Ship features end-to-end from specification through production, including tests, code review, and incident response
Emergence is a thematic holding company backed by the Pritzker Organization focused exclusively on acquiring and scaling category-defining software businesses. They combine operational rigor with a growth equity mindset, driving sustainable ARR growth, profitability improvements, and industry-leading customer outcomes.
Manage and grow a distributed team of engineers, providing feedback and supporting career development.
Partner with product management to shape the Usage squad's roadmap, ensuring alignment with company mission and customer impact.
Guide the team through the full project lifecycle, ensuring high-quality and timely outcomes within the Usage domain.
Grafana Labs is a remote-first, open-source powerhouse with over 20M users globally. Their team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything they do.
Define, drive, design, and build/ship end-to-end solutions that solve real customer problems.
Contribute to the end-to-end AI/ML software development lifecycle, ensuring reproducible research.
Drive architecture, design, and delivery of advanced ML systems in the Product R&D team.
Kinaxis is a global leader in modern supply chain orchestration. Known for its AI-infused platform and transparency across end-to-end supply chains, Kinaxis helps customers make faster, better decisions. The company has over 2000 employees worldwide and is recognized with Top Employer awards.
Design and develop deliverables within the designated area.
Conduct code reviews and contribute to continuous quality improvement.
Analyze faults, perform debugging, and implement fixes.
Tieto Tech Consulting solves clients’ toughest technology challenges and delivers reliable outcomes. It appears to be a large tech company in the Nordics with a growing R&D team, fostering diversity, equity, and inclusion.
Design and build systems, manage scalable ML pipelines using Vertex AI Pipelines for training, evaluation and deployment to support ranking, retrieval, and recommendation personalization use cases
Develop and maintain data pipelines that support feature generation, model training, and analytics workflows. Own vector generation via Milvus, storage, and retrieval workflows
Implement model serving solutions using KServe and build APIs using FastAPI for low latency inference Build observability and monitoring for models and pipelines.
People Inc. is America’s largest digital and print publisher. Our 40+ iconic and fast-growing brands harness the best intent-driven content, the fastest sites, and the fewest ads to help nearly 200 million people every month.
Contribute to the development of the Everywhere Inference platform, a Kubernetes-based solution.
Design and implement APIs and developer tools to simplify deployment, management, and monitoring of AI applications.
Optimize serverless container workflows for AI workloads, ensuring performance, scalability, and seamless autoscaling.
Gcore provides infrastructure and software solutions for AI, cloud, network, and security. They have 550+ professionals globally and power everything from real-time communication and streaming to enterprise AI and secure web applications.
Define and evolve the architecture and roadmap for enterprise‑scale Data and AI platforms.
Design and build multi‑tenant, multi‑region, highly available AI platforms with governance.
Lead capacity planning and cost optimization strategies for GPU and CPU workloads.
NEORIS accelerates growth in Ibero‑America, combining global engineering with regional expertise. With over 60,000 professionals across 55+ countries, they offer technical specialization career paths and value responsibility, collaboration, creativity, and commitment.
Design, develop, and maintain the core services for offensive cybersecurity and user emulation in our range simulation environment, focusing on scalability, performance, and fault tolerance.
Own and drive end-to-end technical projects, from requirements gathering and architecture design to deployment. This includes defining scope, identifying risks, and aligning stakeholders across teams, while setting clear goals and priorities.
Mentor and support engineers on the team; promote a collaborative culture and guide the team in coding best practices, testing, and architectural design. Actively develop the technical skills of senior engineers and help raise the overall engineering bar on the team.
SimSpace provides an AI Proving Ground where organizations train, test, and outmaneuver adversaries in any environment. Founded in 2015 by experts from U.S. Cyber Command and MIT Lincoln Laboratory, SimSpace enables adaptive, AI ready defenses and unifies training, testing, and validation. SimSpace fosters a culture of continuous learning, curiosity, and professional growth with a value system that is Human Centered. They are a team of innovators, protectors and problem solvers and committed to building teams that reflect the communities they serve.
Ship zero-to-one AI products end-to-end — from customer discovery and prototyping through production deployment and iteration
Build agentic AI systems — design and implement autonomous and semi-autonomous workflows using LLMs, tool-use, memory, and orchestration
Develop AI tools that improve efficiency across clinical operations, data extraction, manual workflows, and more
Natera is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. The Natera team consists of statisticians, geneticists, doctors, scientists, business professionals, software engineers and other professionals from world-class institutions.
Lead the strategy, design, and development of the core pentest execution.
Manage engineering teams responsible for building and scaling the platform systems.
Partner with product teams to define platform requirements and deliver capabilities.
Horizon3.ai is a cybersecurity company dedicated to enabling organizations to proactively find, fix, and verify exploitable attack vectors. They are a team of former U.S. Special Operations cyber operators and startup engineers committed to solving security problems.