Lead impactful customer technical projects by delivering production-grade systems spanning data engineering, AI, and application development.
Guide strategic customers in implementing end-to-end big data and AI projects, including architecture, design, build, and deployment.
Empower customers by providing architecture guidance and ensuring solutions are secure, scalable, and aligned with Databricks best practices.
Databricks is the data and AI company. More than 10,000 organizations worldwide, including Comcast and Condé Nast, rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. The company is headquartered in San Francisco and fosters a diverse, inclusive culture.
Break down larger projects into individual tasks and deliver them in multiple phases.
Support peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics.
Support the operations and availability of your team's artifacts by creating and monitoring metrics.
Affirm is reinventing credit to make it more honest and friendly, offering buy now, pay later without hidden fees or compounding interest. They are a remote-first company with a global engineering team and a culture that values people first.
Own the complete lifecycle of backend features, including design, development, deployment, and production support.
Design, build, and maintain scalable backend services using Python and Django, including asynchronous components.
Develop reliable systems supporting critical workflows such as wallets, transactions, payments, settlements, and other high-impact services.
Our partner is a company that builds and maintains critical financial and transactional services for a large-scale gaming platform. They are an international team that values collaboration, engineering excellence, and continuous improvement.
Evaluate and improve AI model performance on complex infrastructure and platform engineering challenges.
Analyze system designs, assess code quality, and provide detailed feedback on architectural soundness and technical accuracy.
Create reproducible failure cases and communicate complex technical concepts to enhance AI reasoning capabilities.
Jobgether uses an AI-powered matching process to connect candidates with hiring companies quickly and fairly. As a platform, it facilitates remote freelance opportunities for technical professionals.
Run customer discovery and workflow shadowing to identify real constraints and user needs.
Implement thin product slices across frontend, backend, data, and integrations until the happy path works.
Explain tradeoffs and risks to non-technical customers while identifying reusable patterns for the product.
Labrynth builds AI-powered platforms to streamline regulatory complexity for industries like energy and compliance. They operate as a small, high-velocity, forward-deployed engineering team embedded directly with clients.
Own end-to-end architecture of Core Platform including backend services, SDKs, AI-enabled capabilities.
Design and implement scalable APIs, event-driven systems, distributed services, and AI-integrated workflows.
Provide technical leadership, mentorship, and drive engineering best practices.
Istari is a digital engineering software company building open, scalable infrastructure for engineering data. We focus on rewarding focus, finishing, facts, and fellowship.
Design and build full-stack applications bridging AI/ML models to user-friendly interfaces using Python and modern frameworks.
Develop and maintain backend services, RESTful APIs, and containerized solutions on Google Cloud or Azure.
Collaborate with solution architects and participate in Agile ceremonies to ensure scalable, high-performance deliverables.
Egen is a fast-growing, entrepreneurial company with a data-first mindset, leveraging Google Cloud and Salesforce to help clients drive action through data. We are committed to being a place where the best engineering talent thrives, dedicated to learning and solving tough problems.
Design and develop a highly available, scalable, and secure ClickHouse Cloud platform for regulated environments.
Build innovative deployment automation across cloud, hybrid, and on-prem systems, including disconnected environments.
Collaborate with Security, Dataplane, and Infrastructure teams to ensure compliance with NIST and FedRAMP frameworks.
ClickHouse is a fast-growing private cloud company offering real-time analytics, data warehousing, observability, and AI workloads. With over 3,000 customers and a $400M Series D, the company fosters a culture of innovation and collaboration.
Responsible for learning new concepts and technologies quickly and apply them to challenging problems.
Designing and building robust and extensible infrastructure to handle evolving and complex federal, state, and agency regulations.
Dive deep to understand the inner workings of a highly complex industry.
Valon builds an AI-native operating system for regulated finance, starting with mortgage servicing. They are a Series C company backed by a16z, managing $110+ billion in loans, with a culture of autonomy and high impact.
Operate as a self-sufficient, T-shaped, full-stack AI/ML engineer
Recommend AI/ML-driven solutions and implement them
Review technical architecture documentation for the project and ensure that the engineering team’s deliverables are implemented accordingly
Serious Development is a boutique healthcare strategy, product, and software engineering firm. We partner with healthcare organizations to solve complex operational challenges through thoughtfully designed custom software.