Senior Full Stack Engineer at Vendia

Renton, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Dec, 25

Salary

0.0

Posted On

24 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Full Stack Engineering, AWS, TypeScript, Python, Web Applications, APIs, Automation, CI/CD, Observability, Testing, Quality, Security, Performance, AI Governance, Data Engineering, B2B SaaS

Industry

Software Development

Description

At Vendia, we're on a mission to transform how companies interact with AI agents. We believe that AI integration should be simple, fast, and secure—with built-in governance, transparency, and control at every step. We're looking for a Senior Full Stack Engineer to help us build Vendia's MCP Platform. You'll be crafting the web applications, SDKs, and APIs that serve as the critical bridge between our customers' data and AI workflows. This is a unique opportunity to combine deep full stack engineering skills with the rapidly evolving world of AI governance + cloud data platforms. Ready to build the future of AI governance? We'd love to hear from you. What You’ll Do Build AI governance and enforcement features (e.g., access controls, audit trails, transparency, policy enforcement). Design, implement, and support client-side and server-side architectures, from responsive web apps to CLI & SDKs that connect AI agents with customer data. Advocate for best practices in full stack engineering: automation, CI/CD workflows, observability, testing, quality, security, and performance. Collaborate with leadership to shape the engineering roadmap, balancing new AI and MCP features with scalability, governance, and customer adoption. Minimum Requirements 5+ years of full stack engineering experience, with direct operational responsibility (oncall exposure preferred) in distributed cloud-native systems. Strong AWS expertise (e.g., Lambda, API Gateway, Cognito, DynamoDB, Glue, Athena). Fluency in at least one backend language (TypeScript or Python preferred). Experience building responsive web apps and backend APIs, using modern frameworks and automation/testing best practices. Ability to plan projects, communicate clearly, and deliver high-quality results in a fast-paced environment. Bachelor’s degree in CS/Engineering/Math or equivalent experience. Excellent written and verbal communication skills. Must be authorized to work in the United States. Preferred Qualifications Experience with AI governance, compliance, or responsible AI frameworks. Background integrating cloud data into LLM-powered applications or AI agent workflows. Familiarity with data engineering best practices for analytical and operational systems. Hands-on experience with analytical platforms such as Snowflake, Databricks, or BigQuery. Prior startup experience delivering B2B SaaS or infrastructure services. Compensation: Compensation decisions are determined using a variety of factors and individual qualifications. Our benefits offerings include medical, dental, and vision insurance, 401 (k), Responsible Adults Paid Time Off Policy, paid holidays including Winter Break, and a home office setup stipend. About Vendia Vendia’s distributed ledger technology facilitates secure, trusted, and controlled data exchange between multiple parties so enterprises can automate and accelerate data workflows across business networks. Some of the world’s biggest brands are already leveraging Vendia to bring strategic partners together and quickly build data applications that unlock revenue, innovation, and cost savings. Vendia is a rapidly growing, minority-owned startup headquartered in San Francisco and Seattle, backed by $50M in investment from top-tier investors. Vendia was founded by industry veterans, Dr. Tim Wagner, the inventor of Lambda serverless computing at Amazon Web Services and VP of Engineering at Coinbase, and Shruthi Rao who led go-to-market of Serverless and Blockchain at Amazon Web Services. We embrace remote workers but also love interactive development. Our culture is dynamic, with a focus on rapid, iterative delivery and continuous learning from customer engagements. Most importantly, we are a "succeed or fail together" company - everyone here plays nicely with each other, a culture we’ve enshrined in our Kind Humans Policy, and a key requirement for all job applicants.

Responsibilities

Build AI governance and enforcement features while designing and implementing client-side and server-side architectures. Collaborate with leadership to shape the engineering roadmap balancing new features with scalability and customer adoption.