Architect enterprise-scale Databricks data platforms with guardrails, automation, and standards to enable safe self-service by business teams.
Design high-volume batch and real-time streaming pipelines using PySpark and Structured Streaming, integrating Unity Catalog with third-party metadata.
Communicate architectural decisions to technical and business stakeholders, produce documentation, and partner with client teams to translate use-case needs into platform capabilities.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact using AWS, AI, and Anthropic's Claude platform. They are a fully remote global company with employees across Canada, the US, and Latin America, fostering a culture of technological curiosity and inclusion.
Design and implement cloud infrastructure using AWS, Azure, and Terraform.
Manage Kubernetes clusters for container orchestration and deployment.
Collaborate with cross-functional teams to ensure scalability and reliability.
BSC Analytics is a leader in advanced data analytics for highly regulated enterprises, providing technical strategy and teams of exclusively senior talent. The company fosters a culture of senior expertise, tackling the toughest data challenges.
Define the technical vision and strategy for the machine learning platform supporting ML and generative AI development.
Set reference architectures and standards for scalable data and ML pipelines, MLOps practices, and production reliability.
Provide technical leadership and mentorship across engineering teams to raise the bar for ML systems.
PointClickCare provides cloud-based healthcare software solutions. With a large engineering team that values collaboration and innovation, they foster a culture of technical excellence and mentorship.
Design and architect scalable Databricks-based solutions for enterprise clients.
Lead end-to-end cloud data platform implementations across AWS and Azure.
Provide technical leadership and guidance to data engineering teams.
Cuesta Partners delivers data engineering solutions for enterprise clients. They are a consulting firm with a collaborative culture focused on technical excellence and team growth.
Oversee practice area financial performance, including utilization, margin, and investments.
Lead delivery teams, ensuring client success through executive sponsorship and technical excellence.
Develop and manage the practice's technology strategy, client journeys, and delivery patterns.
3Cloud is a technology consultancy specializing in data platforms and cloud architecture, with deep expertise in Microsoft Azure. The company emphasizes a culture of experimentation, candid feedback, and collaborative teamwork to deliver outstanding client solutions.
Lead the technical vision and roadmap for the ML platform.
Partner with Product and Engineering leadership to align investments.
Establish MLOps practices and optimize large-scale model training and serving.
The hiring company builds machine learning platforms and MLOps solutions for large-scale AI development. It offers a collaborative and specialized environment with a focus on technical excellence and innovation.
Design, deploy, and maintain scalable ML infrastructure for model training, batch processing, and real-time inference.
Build and manage cloud-based infrastructure with AWS and Snowflake using Infrastructure-as-Code practices.
Develop CI/CD pipelines, automation frameworks, and monitoring for ML systems to improve reliability and governance.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They operate with a team-oriented culture and offer remote work flexibility, focusing on efficient, unbiased recruitment.
Serve as the primary technical contact and trusted advisor for enterprise customers, guiding them through Camunda adoption.
Deliver hands-on technical guidance and best practices to both business and technical stakeholders.
Foster strong relationships with cross-functional teams to drive measurable customer outcomes at scale.
Camunda is the enterprise platform for agentic orchestration, enabling organizations to coordinate AI agents, people, and systems. We are a fully remote global company with over 700 customers, trusted by 9 of top 10 US banks, and are transforming into an AI-first organization.
Design and architect scalable Databricks-based solutions for enterprise clients.
Lead end-to-end cloud data platform implementations across AWS and/or Azure.
Partner directly with client stakeholders to understand business needs and translate them into technical solutions.
Cuesta Partners is a consulting firm that delivers data engineering solutions in a client-facing environment. They value entrepreneurship, humility, diversity, learning, speed, and balance, and offer a competitive compensation package.
Lead architecture and technical direction for AI-powered Loyalty product within Zeta Marketing Platform.
Own roadmap delivery and drive engineering best practices across multiple teams.
Coach and develop engineers while ensuring product reliability and scalability.
Zeta Global is an AI-powered marketing cloud that leverages consumer signals to help marketers acquire, grow, and retain customers. Founded in 2007 and headquartered in New York City, the company operates globally and fosters a culture of trust, belonging, and inclusion.
Serve as the principal technical advisor to enterprise clients, building trust and ensuring solution alignment.
Partner with software engineers and data teams to analyze performance metrics and calibrate assessments.
Drive continuous improvement of Customer Operations and GTM processes.
Karat is the world's largest interviewing company, providing a powerful platform for technical hiring with expert-led interviews and analytics. The company operates 100% remotely and values diversity and inclusion.
Lead and grow a team of platform engineers, coaching them on infrastructure and cloud challenges.
Drive the platform roadmap, balancing reliability, cost, security, and developer experience with AWS and Kubernetes.
Partner cross-functionally to align platform priorities with business goals and ensure system reliability.
PerfectServe is a leading provider of clinical communication and physician scheduling solutions in the health IT space. The company has 400+ employees and 30,000+ customers, with over $100 million in annual revenue, and has received multiple Best in KLAS awards.
Lead the design and rollout of new platforms to minimize incidents and enable customer-facing features.
Deploy updates and improvements for both internal and end customer use cases while collaborating with engineering and operations teams.
Participate in an on-call rotation evenly distributed across the team in a primary/secondary pattern.
Lightning AI is the company behind PyTorch Lightning, building an end-to-end platform for developing, training, and deploying AI systems. Founded in 2019, the company operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by leading venture capital firms.
Coordinate the activity of a team of 14 Data Architects DevSecOps, distributing workloads and resources according to priorities and business needs.
Ensure compliance with reference architectures and corporate standards, coordinating reviews and tracking deviations and architectural risks.
Drive the adoption of Data Architecture, DataOps, and DevSecOps best practices, promoting continuous improvement of the service.
Devoteam is a technology consulting company that helps large organizations design and evolve their data platforms, driving adoption of Data & AI best practices. They have a large, international team and a culture that values technology and talent.
Architect, automate, and maintain Kubernetes deployments across commercial, CUI, and classified DOD networks.
Debug complex containerized environments where connectivity is limited.
Interface directly with customers and cross-functional teams to define and deploy reliable systems.
Striveworks delivers trusted AI systems for government and enterprise, monitoring performance and managing drift across hundreds of deployed models. The company values trust, respect, and ownership, with a collaborative culture focused on mission-critical reliability.
Architect the end-to-end reliability, performance, and resilience of cloud environments, including the SLO framework for critical services.
Lead incident response, on-call rotation, root cause analysis, and build a culture of corrective actions.
Build observability platforms to detect issues proactively and mentor engineers on reliability standards.
Garner is on a mission to transform the U.S. healthcare system by partnering with employers to steer members to better-performing doctors, resulting in better care and lower costs. With 550+ proprietary clinical metrics, they have helped over 2.5 million people and saved $1B in healthcare costs, recently raising a Series E and doubling five years running.
Lead the engineering organization responsible for the AI platform foundation, including ServiceNow Platform AI, LLM strategy, and advanced AI infrastructure.
Drive enterprise LLM strategy, model orchestration, fine-tuning, and LLMOps/MLOps pipelines for production deployment.
Architect advanced AI infrastructure with GPU/TPU-accelerated and confidential computing, ensuring data residency and compliance across regulated environments.
ServiceNow is the AI control tower for business reinvention, bringing together any AI, any data, and any workflow. Serving 85% of the Fortune 500, it fosters an AI-native culture where technology and talent are unstoppable together.
Serve as the primary technical liaison for customers, ensuring successful adoption and optimization of security solutions.
Provide advanced technical support and collaborate with product and engineering teams to resolve complex customer issues.
Conduct technical account reviews, onboarding sessions, and training to drive customer success and product adoption.
The company is a cybersecurity firm that helps organizations maximize the value of advanced security solutions. It is a fast-growing, remote-first company with a culture centered on collaboration, growth, and employee empowerment.
Lead technical discovery and design solutions for customer workloads in data engineering, analytics, and ML.
Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform.
Own frontline technical relationships with customer engineers and data teams to drive platform adoption.
Databricks is the Data and AI company. Over 20,000 organizations worldwide, including 70% of the Fortune 500, rely on its unified platform for data, analytics, and AI, with a culture of proactiveness and customer-centricity.