Own Technical Excellence: Define and drive the architecture, design patterns, and engineering standards for the feature store platform.
V2 Implementation: Assist and execute the next generation of our feature store—building for scale, low-latency serving, and enterprise-grade reliability.
Guide Product Roadmap: Partner with Product and leadership to help shape the technical roadmap.
Build Context Infrastructure: Design and implement systems to deliver context to AI agents, optimized for speed and scale on top of Redis.
Ship Fast: Prototype, test, and ship features in tight cycles, valuing working software over long planning horizons.
Shape the Product: Contribute directly to product direction, working closely with leadership to define what is built.
Redis builds the product that runs fast apps. They have over 10,000 worldwide customers and are creating a faster world with simpler experiences, valuing curiosity, diversity of thought, and innovation.
You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The company values its employees and offers competitive benefits.
Architect and ship new backend capabilities that integrate AI-adjacent functionality into Kraken’s core systems.
Design distributed services that meet high standards for reliability, performance, and correctness.
Own end-to-end technical design, from protocol and service boundaries through production deployment.
Kraken is a mission-focused company rooted in crypto values. It aims to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. As a fully remote company, Kraken has Krakenites in 70+ countries who speak over 50 languages.
Design and build the infrastructure layer powering AI agent systems in production
Develop high-performance Rust services that handle model inference, orchestration, and execution
Architect scalable systems capable of supporting millions of users and high request throughput
Kraken is a mission-focused company rooted in crypto values, aiming to accelerate the global adoption of crypto so that everyone can achieve financial freedom and inclusion. As a fully remote company, Kraken has employees in 70+ countries and is committed to industry-leading security, crypto education, and client support.
Own model serving: Design, build, and maintain low-latency, highly-available serving stacks for in-house ML model serving and integrating with LLM serving partners.
Automate training pipelines: Orchestrate data prep, training, evaluation, and registry workflows on Kubernetes with solid MLOps practices.
Optimize at scale: Profile and tune throughput, memory, and cost; introduce caching, sharding, batching, and GPU/CPU autoscaling where it pays off.
Cresta aims to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Their platform combines AI and human intelligence to help contact centers discover customer insights and automate conversations.
Architect, build, and operate data infrastructure that powers Tebra’s intelligent features.
Translate business requirements into software solutions that accelerate our ability to deploy AI.
Monitor data pipelines, detect anomalies, and implement automated recovery systems.
Tebra unites Kareo and PatientPop, providing a digital backbone for practice well-being, supporting both products with a shared vision for modernized care. Over 100,000 providers trust Tebra to elevate patient experience and grow their practice, building the future of well-being with compassion and humanity.
Lead end-to-end design and implementation of large-scale data mining solutions that handle real-time data as well as batch mode ingestion, modeling, and inference
Shape long-term architectural direction, technology stack, and engineering best practices
Identify and mitigate technical risks, ensuring scalability, availability, and reliability across the platform
Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. They have over 85 health plans, including many of the top 20, and representing more than 270 million lives; they bring together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise.
Design and build scalable and high-performance data software solutions using Golang and Python.
Build and deploy Kubernetes-based systems to manage containerized applications in cloud-native environments.
Collaborate with cross-functional teams to understand and address customer needs, ensuring our systems evolve to meet future requirements.
Machinify is a healthcare intelligence company delivering value, transparency, and efficiency to health plan clients. They deploy a configurable, AI-powered platform and have best-in-class expertise in the payment continuum, serving over 85 health plans and 270 million lives.
Partner with stakeholders to tackle technical problems at scale, building framework agnostic services.
Establish roadmap and architecture for Wealthsimple’s Machine Learning platform.
Build highly performant scalable systems, contributing to our ML platform on Kubernetes, Bedrock and Sagemaker.
Wealthsimple aims to provide financial freedom by making financial services transparent and low-cost. As the largest fintech company in Canada, with over 1,500 employees, they manage over $100 billion in assets and foster a collaborative and quality-focused culture.
Define and plan the long-term strategy for the Data Platform.
Design and develop scalable distributed systems for data management.
Improve and add features to the ETL framework while maintaining SLAs.
Jobgether is a platform that connects job seekers with companies using an AI-powered matching process. It's a platform that ensures applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Design and build scalable and high-performance data software solutions using Golang and Python.
Build and deploy Kubernetes-based systems to manage containerized applications in cloud-native environments.
Collaborate with cross-functional teams to understand and address customer needs, ensuring systems evolve.
Machinify is a healthcare intelligence company focused on delivering value, transparency, and efficiency to health plan clients. They deploy a configurable, AI-powered platform used by over 85 health plans, representing more than 270 million lives, and foster a flexible and trusting environment.
Define and drive multi-year technical strategy for the Claude API.
Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams.
Serve as the primary technical decision-maker for major architectural decisions with org-wide scope.
Anthropic's mission is to create reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. Their quickly growing team is composed of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Collaborate with exceptional engineers on building systems and services for the world's largest companies.
Lead architecture for distributed services at scale that synchronize shared state across clients.
Drive cross-team technical alignment via design docs and decision records; unblock execution across org boundaries.
Webflow is building the world’s leading AI-native Digital Experience Platform. They are a remote-first company built on trust, transparency, and creativity, empowering teams to design, launch, and optimize for the web without barriers.
Architect end-to-end software solutions using modern frameworks aligned with scalability.
Lead complex, cross-functional projects from concept to delivery, aligning engineering solutions with business needs.
Build and maintain distributed systems using Spring Boot microservices, Docker, and Kubernetes.
SupplyHouse.com is an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004. They value every individual team member and cultivate a community where people come first.
Lead architecture, system design and engineering efforts for high-scale, data-intensive B2B systems supporting eligibility, billing, marketing, and file ingestion.
Design and implement batch and real-time processing architectures that are reliable, observable, and performant.
Drive efforts in database performance optimization, schema design, and long-term scalability planning across multi-terabyte PostgreSQL and other persistent stores.
Omada Health is a digital care provider that empowers people to achieve their health goals through sustainable behavioral change. Their multi-condition platform treats diabetes, hypertension, prediabetes, musculoskeletal, and GLP-1 management.
Lead architecture and system design for high-scale, member-facing systems, making thoughtful tradeoffs between velocity, reliability, and long-term maintainability
Drive complex, cross-team initiatives from idea through execution, ensuring delivery of measurable business impact
Partner cross-functionally with Product, Design, Data, and other Engineering teams to shape roadmaps and align technical strategy with company goals
MasterClass is a streaming platform where the world’s best come together so anyone, anywhere, can access and be inspired by their knowledge and stories. They are a remote-first workforce with collaborative work spaces in San Francisco and Kitchener, Ontario, and employees in several U.S. states.
Design, develop, and maintain high-performance, scalable, and secure backend services, primarily using Python and frameworks like FastAPI
Translate ambiguous business and technical requirements into concrete software designs and actionable tasks for cross-functional teams
Operate and maintain production applications at scale, ensuring high availability, performance, and reliability
SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month. Valued at over $1 billion, SmartAsset has earned recognition on the Inc. 5000 and Deloitte Technology Fast 500 lists.
Support teammates with goal-setting, professional development, and mentoring.
Ensure delivery of maintainable, high-quality platform systems.
Build and sustain a healthy team culture where ownership and collaboration are the norm.
onX is a pioneer in digital outdoor navigation solutions through its suite of apps. With over 400 employees, they foster a fast-paced, tech-forward environment valuing ownership, accountability, and teamwork.