Implement Astronomer’s software and services in the core of some of the world’s largest businesses and organizations.
Guide our largest and most complex customers in their Apache Airflow journeys.
Act as the core interface between the Customer, Sales, and Product to ensure that the broader solution around the platform is solving pain points and bringing value to customers.
Astronomer empowers data teams with their DataOps platform Astro, powered by Apache Airflow. They are trusted by over 800 enterprises and foster a culture of diversity and equal opportunity.
Design and implement proof-of-concept solutions to tackle real customer data challenges, from concept to production.
Conduct demos and provide technical guidance to engineering teams, showing how the platform transforms workflows.
Contribute to the Apache Airflow community by creating technical content and best practices, positioning Astronomer as a thought leader in workflow orchestration.
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life with its Astro platform, an industry-leading unified DataOps platform powered by Apache Airflow®. Trusted by more than 800 leading enterprises, they are an equal opportunity employer that values diversity and focuses on helping businesses do more with their data.
Own operational excellence for the Databricks platform, including monitoring, alerting, and incident response.
Design and maintain CI/CD standards for Databricks assets and production reliability patterns.
Partner with teams to ensure ingestion, observability, and compliance in a regulated environment.
Shield AI is a venture-backed defense-tech company protecting service members and civilians with intelligent systems. With offices across the U.S., Europe, the Middle East, and Asia-Pacific, its technology supports operations worldwide.
Lead the modernization of the data platform by migrating legacy Hadoop, Spark, and Impala pipelines to a scalable Databricks architecture.
Accelerate migration efforts using AI coding assistants like Claude and Codex to convert SQL and modernize ETL workflows.
Design and optimize scalable data pipelines with Airflow and Databricks, ensuring reliability, cost-efficiency, and data quality.
LivePerson is a leader in enterprise conversational AI and digital transformation, powering nearly a billion conversational interactions monthly. Fast Company named them the #1 Most Innovative AI Company, and they foster a remote-first, innovative culture.
Collaborate with Data Science, Product Managers, and Software Engineers to build robust ETL pipelines for user-facing features.
Contribute to architecture decisions, observability tooling, and data quality initiatives to keep the platform robust.
Enforce engineering best practices across the AI/ML org, including code quality, testing, and documentation.
Federato is an AI-native platform for insurance, enabling insurers to provide affordable coverage for climate, cyber, and social inflation risks. It is a small, well-funded company backed by the investors behind Salesforce, Veeva, and Zoom, with a culture focused on first principles, learning, and fun.
Own the Airflow codebase end-to-end, building reusable templates and enforcing standards.
Build and extend large-scale Spark pipelines on AWS Glue and support migration to Databricks.
Drive data model improvements around commercial pharma data with focus on structure and lineage.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, it surpassed $3B in revenue and values doing the right thing, customer success, employee success, and speed.
Design, build, and run distributed cloud architectures and large-scale production systems.
Ensure reliability, observability, performance, and cost efficiency of the platform.
Collaborate with product and backend teams to design system architecture and optimize resource use.
Tinybird helps developers and data teams unlock the power of real-time data, enabling them to build data pipelines and innovative data products quickly. They are a remote-first company with a culture of ownership, transparency, and clear communication.
Develop scalable backend systems and data pipelines using Python, PySpark, and SQL.
Build secure, containerized applications with Docker and cloud platforms.
Collaborate with cross-functional teams to deliver high-quality engineering solutions.
Resilinc is a supply chain intelligence company that uses agentic AI to help enterprises predict and mitigate disruptions. They are a fully remote, mission-led team with a collaborative culture.
Design and improve monitoring, logging, distributed tracing, dashboards, alerting, SLIs, and SLOs for production health.
Build and maintain automation, internal tools, and CI/CD systems to increase engineering efficiency and support reliable deployments.
Own complex production incidents from detection to resolution, turning learning into durable improvements and reducing recurring incidents.
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. It has earned recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
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.
Build, operate, and scale containerized data infrastructure on Kubernetes and Linux systems.
Write automation and tooling in Python to improve reliability and performance.
Manage GitOps-based deployments and keep data pipelines reliable at scale.
SD Solutions is a global staffing company that connects professionals with top adtech firms. The company culture emphasizes reliability, collaboration, and independent work in a fast-paced environment.
Work directly with customers to understand technical requirements and build production solutions.
Develop integrations, APIs, and internal tooling to accelerate platform adoption.
Own projects from technical discovery through deployment and iteration.
A fast-growing technology company building advanced AI-powered infrastructure and products for enterprise customers. The company operates in a fast-paced, ambiguous environment and values high ownership and customer focus.
Design and build backend services for AI-powered product features, including inference pipelines and orchestration layers around LLMs.
Develop high-throughput, low-latency distributed systems with monitoring, logging, and alerting across production services.
Collaborate with product, infrastructure, and AI engineers to optimize performance, caching, batching, and streaming.
This team is building an AI-native productivity platform that replaces repetitive digital work with reliable AI workflows. They are a small, focused product team working on cutting-edge AI infrastructure.
You define architecture and operational standards for managed services across AWS. - You serve as the final technical escalation point for complex customer situations. - You shape Honeycomb's open source strategy in the OpenTelemetry ecosystem and mentor engineers.
Honeycomb is a service for observability, defining developer tools for the near and present future. We are a fully distributed company of over 200 talented and inclusive bees, named to Forbes' America's Best Startups of 2022 and 2023.
Build the data control plane for governance and discovery.
Create paved roads for data products with SDKs and CI/CD.
Ensure every data product is observable by default.
Kargo creates powerful moments of connection between brands and consumers to build businesses. With 600+ employees, the company uses a creative science approach to deliver innovative ad experiences across CTV, eCommerce, social, and mobile.