Build and operate shared infrastructure for AI platform capabilities, including model gateways and cloud AI services.
Shape product strategy and execution across disciplines, developing scalable and performant solutions.
Mentor and coach engineers, setting standards for code architecture and engineering processes.
Aledade is a healthcare technology company that empowers independent primary care practices through value-based care and accountable care organizations. The company is dedicated to improving health outcomes and supporting communities, with a collaborative and innovative culture.
Own and modularize the infrastructure behind Seer's data platform using Terraform or OpenTofu.
Build and maintain GCP services including BigQuery, Cloud Run, and Cloud Functions, automating data flows.
Design CI/CD pipelines, alerting, and monitoring to ensure reliable, well-governed systems.
Seer Interactive is a digital marketing consultancy that uses data, technology, and AI to drive client outcomes. It is a remote-first Certified B-Corp with team members across the US.
Contribute to the design, implementation, automation, and support of enterprise-scale cloud data platforms using Databricks, AWS, and Infrastructure as Code.
Lead the design and development of ETL/ELT pipelines within Databricks using PySpark, Spark SQL, Delta Lake, and Databricks Workflows.
Build, deploy, and monitor ML models and data infrastructure to ensure high availability, scalability, and performance.
Scout Motors is an automotive company reviving the iconic Scout vehicle as an electric pickup truck and rugged SUV brand. The company fosters an inclusive, entrepreneurial culture focused on innovation, respect, and building from the ground up.
Lead the Platform team building identity, authorization, search, and API infrastructure.
Collaborate with engineers, designers, and PMs to implement modern architecture and ship tested code.
Optimize database performance, create developer tooling, and improve platform reliability.
Juniper Square unifies technology, data, and fund administration for private markets, trusted by 2,300+ GPs. With 1,000+ employees and $300B+ under administration, it's a fast-paced, transparency-driven culture built for ambitious owners.
Design and operate scalable cloud infrastructure on Azure and AWS for AI applications and data products. - Build reusable infrastructure-as-code modules, CI/CD pipelines, and observability frameworks. - Collaborate with international teams to deliver secure, automated, and cost-efficient cloud environments.
This partner company is a major international logistics organization operating across multiple countries. It supports a central AI team focused on cloud-native solutions for AI applications and data products in a collaborative, international environment.
Build and maintain automated, tested ML/data pipelines to take data science models from notebooks to production.
Optimize CI/CD, workflow orchestration, and observability to keep match data reliable at scale.
Partner with data science to maintain feature pipelines, run EDA, and apply AI tools across workflows.
PAR Technology is a leader in restaurant technology, providing software and hardware that help brands create guest connections and drive growth. Serving over 100,000 restaurants in 110+ countries, it fosters a collaborative 'Better Together' culture within its growing SaaS organization.
Lead the design and delivery of complex, multi-component features and systems for Development Infrastructure.
Develop and maintain CI/CD tools, Docker images, and build/deploy pipelines.
Take ownership of on-call issues and coach engineers through the software development lifecycle.
Abnormal protects organizations from AI-powered cybercrime with a behavioral AI platform. 5,000 enterprises trust the platform, and the team values collaboration, continuous learning, and engineering excellence.
Set multi-quarter technical direction for the data platform and drive alignment on large ambiguous cross-functional projects.
Architect and build scalable, robust data platforms serving analytic and operational needs across the organization.
Champion AI-assisted development practices and improve systems' performance, observability, and reliability.
GameChanger builds the first and best place to experience youth sports moments, helping families elevate the next generation through sports. We are a remote-first, dynamic tech company based in New York City, solving big challenges in youth sports.
Build, operate, and optimize robust data pipelines in Databricks (Python, SQL) using the Medallion Architecture.
Manage governance, access rights, and data lineage with Unity Catalog and deliver data via Power BI dashboards and Genie.
Automate deployments with Terraform and CI/CD pipelines, and leverage AI coding assistants like Claude Code or GitHub Copilot.
We are an agile IT software house with around 80 colleagues. We develop software solutions for industry and smart factory, from IoT platforms to agentic AI, turning complex industrial data into practical value.
Collaborate with the DevSecOps team to build, automate, and support deployment pipelines and infrastructure-as-code solutions.
Plan and coordinate product releases, hot fixes, and service packs across development, test, and production environments.
Support monitoring, alerting, and logging solutions and work with development, QA, and operations teams to resolve deployment issues.
Coherent Solutions is a technology consulting and software engineering firm. It supports employee growth through training, mentorship, health insurance, and flexible work options.
Design and build robust Python services and applications that serve high volumes of production traffic.
Own software throughout its lifecycle, from development to deployment and operation using self-service CI/CD and observability.
Collaborate with product, design, data, and engineering teams to deliver reliable software and improve engineering practices.
YouGov is an international online research data and analytics technology group that helps brands and agencies understand consumer opinion through an ever-growing source of connected data. With operations across the UK, the Americas, Europe, the Middle East, India, and Asia Pacific, the company is driven by a culture of being fast, fearless, innovative, and guided by accuracy and ethics.
Design, build, test, deploy, and maintain scalable cloud-based data pipelines that ingest and transform data from product, operational, and third-party systems.
Own data-pipeline architecture, including orchestration, monitoring, reliability, performance, and data quality.
Develop workflows, transformations, and data models that transform raw data into useful, trusted, and actionable information.
Karat is the world's largest interviewing company, providing a powerful system for technical leaders at companies like PayPal, Atlassian, and Citi to control how they hire top engineers. The company values data-driven insights, inclusivity, and a diverse workforce.
Architect and implement a scalable, secure Google Cloud Platform data platform for analytics and AI.
Build reusable Terraform infrastructure as code and CI/CD pipelines for automated, auditable deployments.
Engineer data pipelines using BigQuery, Dataflow, Dataform, Cloud Composer, and leverage AI agents to accelerate delivery.
RWS is a global leader in language services, helping organizations unlock understanding across languages and cultures. Product & Technology employs over 500 staff supporting 7,500+ end users worldwide, with a culture that values partnership, pioneering, progress, and delivery.
Design and own scalable data infrastructure for real-time and batch processing, including pipelines handling billions of events daily.
Architect medallion-layer data models in Databricks and build AI-assisted workflows with Claude Code.
Partner with analytics and data science teams to deliver reliable datasets and enable natural-language querying.
Life360 is a family safety and location-sharing platform offering mobile apps, Tile trackers, and Pet GPS with crash detection. It has 102M+ monthly active users and 500+ remote-first employees, with an AI-native, trust-based culture.
Collaborate with DevSecOps to build and automate deployment pipelines and infrastructure-as-code solutions.
Plan and coordinate product releases, hot fixes, and service packs across dev, test, and production.
Improve deployment processes, maintain monitoring, alerting, and logging, and troubleshoot issues in distributed environments.
They are a market leader in contact center robotic process automation (RPA), with a patented platform automating manual management processes. Their platform powers over 1 billion automated actions annually, delivering measurable ROI across financial services, telecom, insurance, and healthcare.
Design, build and maintain reliable data pipelines in Python on AWS.
Build and maintain backend services and APIs using Django and FastAPI.
Take end-to-end ownership of assigned work, including design, testing, code reviews, releases and production support.
Smart Working connects skilled professionals with global teams for full-time remote roles, aiming to break down geographic barriers. It fosters a remote-first community focused on growth and well-being, and is rated highly on Glassdoor.
Design, deploy, and optimize data and AI/ML systems on AWS end-to-end.
Maintain and evolve production platforms, monitoring for drift and improving reliability.
Partner with AWS Professional Services and client teams to align data and AI architecture with business goals.
We are an applied AI engineering firm building AI co-workers that integrate into enterprise operations and deliver measurable client results. Founded in 2009, we are a smaller, senior team with delivery centers in the US, Canada, Eastern Europe, and Latin America, averaging 15+ years of experience.
Design, develop, and maintain scalable data pipelines and ETL/ELT processes using cloud-native technologies.
Support implementation of modern data platforms, data lakes, and warehouses, while ensuring data quality and performance.
Collaborate with cross-functional teams and clients to translate business needs into technical data solutions.
FormativGroup operates within the critical middle layer of business technology, connecting applications and systems to infrastructure and business processes. They are experts helping the middle market with cloud architecture, system integration, AI, and data strategy, and are growing with a collaborative culture.
Develop, secure and maintain cloud infrastructure for large-scale training, inference and evaluation platforms.
Design and implement CI/CD pipelines, reusable infrastructure templates and automation for rapid environment creation.
Collaborate with engineering and research teams to streamline releases and improve developer workflows.
We build intelligent systems capable of learning, remembering and reasoning over time. We are an early-stage startup with ambitious goals and a highly collaborative, fast-moving environment.