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Build and scale Gusto’s new PEO Benefits platform, designing full-stack features for healthcare plan shopping, carrier integrations, and AI-driven automation while mentoring engineers in a Ruby/Rails and React stack.
Build and maintain tax-account systems that handle registrations, filings, and compliance for hundreds of thousands of small businesses, using full-stack engineering and AI tools.
Build and own Gustie Assist’s Otto, an LLM-powered agent that autonomously resolves payroll, benefits, and compliance issues for Gusto’s support advocates, spanning backend, frontend, and safety-critical tooling.
Builds AI-powered business insurance products (e.g., Workers’ Comp, General Liability) at Gusto, designing scalable features from concept to launch while mentoring engineers and collaborating cross-functionally.
Build and maintain scalable Salesforce Apex solutions for Gusto’s Sales and CX teams, using AI tools to write, debug, and document code while ensuring high-quality, production-grade systems.
Builds and maintains 401(k) management systems for small businesses, handling compliance, APIs, and integrations while collaborating with product and operations teams.
Staff engineer at Gusto building and scaling the Tax Credits product using Ruby on Rails and React, mentoring engineers, and driving cross-functional, multi-quarter projects.
Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build…
Lead the architecture and delivery of metadata services (discovery API, catalog, lineage, run history) for a data-integration platform, using Python, GraphQL, Postgres, and cloud infrastructure.
Build and optimize dbt Core, the open-source engine that transforms data for tens of thousands of engineers, focusing on performance, reliability, and database integrations.
Build and improve internal developer platforms and tooling in Python/Go to automate workflows, enhance observability, and enable self-service across AWS, Azure, and GCP.
Build core Rust/Go connectivity layers and adapters for dbt’s next-gen data execution platform, shaping how workloads run across engines like Arrow, DuckDB, and Spark.
Builds and maintains AI-ready data infrastructure, including governed context layers and agent-friendly schemas, using Python, Java, and cloud data warehouses.
Lead Salesforce CRM evolution for a fast-growing data-integration company, designing scalable integrations and automating processes to keep Salesforce as the single source of truth across global teams.
Build and improve database connectors that reliably move enterprise data into warehouses using Java/C++, SQL, and CDC; troubleshoot low-level replication issues.
Leads test automation infrastructure and quality strategy for a data-movement platform, building shared tools in Java/Python and cloud-native stacks to ensure reliable, high-confidence releases.
The Senior Staff Software Engineer will lead the architecture and development of Java-based SaaS platforms and distributed backend services. This hands-on role involves driving technical initiatives, mentoring engineers, and improving system scalability and reliability across the organization.
Builds and leads a healthcare data platform that lets providers access patient records in real time, using Node.js/TypeScript backends, AWS services, and FHIR standards.
Senior hands-on technical leader who defines and builds a modern, product-oriented Data Platform: architecture strategy, batch/streaming/real-time pipelines, semantic layers, governance, and AI-ready data capabilities (vector stores, RAG, agent-readable metadata). Core stack spans cloud data services (AWS/Azure/GCP), SQL, Python/Scala/Java, Spark/Flink/Beam, dbt/Cube, and BI tools like Looker.
Staff Software Engineer who owns high-leverage architecture and hands-on production code across Blitzy's agentic AI software development platform, reporting to the CTO. Core stack includes Python, Terraform, and AWS/GCP, plus microservices, APIs, and AI platforms, while mentoring engineers in an in-person Cambridge, MA setting.
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