Software Dev Engineer II

Akraya Inc.

  • Boston, MA
  • 30+ days ago
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    Skills

    • AWS Lambdaunmatched
    • Amazon Simple Storage Service (S3)unmatched
    • Amazon Web Services (AWS)unmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Authenticationunmatched
    • Automationunmatched
    • Computer Scienceunmatched
    • Data Processingunmatched
    • Distributed Computingunmatched
    • Home Automationunmatched
    • Leadershipunmatched
    • Legalunmatched
    • MCP - Microsoft Certified Professionalunmatched
    • Product Managementunmatched
    • Product/Service Launchunmatched
    • Project/Program Managementunmatched
    • Risk Modelingunmatched
    • Scripting (Scripting Languages)unmatched
    • Slackunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Sprint Planningunmatched
    • Standup Meetingsunmatched
    • Writing Skillsunmatched

    Description

    Intake Form Data
    Job Title SDE Amazon Entity Amazon.com Services LLC
    Hiring Manager Grace Cleveland MSP Specialist Name/ Email
    River Ticket Link

    Request 168366-1

    Duration 6 mo
    Estimated Start Date ASAP Existing Candidate Details
    (if applicable)
    Is Holiday work expected? No Bill rate
    Business Purpose Assist with development of GenAI Compliance Model High Risk
    Request Additional Details
    Position Details
    Remote Possibility/Location BOS17 Potential for extension or Conversion Yes
    Headcount and Special Submittal Requirements: Travel expectations if applicable None
    Additional Expenses Parking Lot (unpaid)
    Manager Communication Preferences
    Preferred PMO communication method Email/Slack
    HM open to supplier contact? Do Not Contact. All communication must go through PATH
    NOTE: You may NOT contact the hiring manager unless explicitly stated above that suppliers are okay to contact the manager. If approved, PMO must be included in ALL communications with hiring manager.
    You must contact PMO if you are unsure.
    Story Behind the Need Business Group & Key Projects
    Review of Business Group Workplace Trust
    Purpose of the Team and key projects Workplace Trust is responsible for privacy and AI compliance for all Amazon workers. We are building a GenAI model, Bina, that will automatically review and approve applications to launch to the Amazon worker population. This role will join the Bina team and help build the model and automation capabilities.

    Bina is Amazon's AI-powered compliance orchestration primitive, enabling applications and data processing activities to be "born compliant. " We integrate with tools like AZA, Q CLI, and Pippin to provide builders with proactive, consolidated compliance guidance across Privacy, AI, Labor & Employment Legal, IXT, and EEO reducing review cycles and accelerating product launches. Our team sits within Workplace Trust and is building the infrastructure that makes compliance scalable, consistent, and developer-friendly.
    Team culture Small team, all located in Boston. 4 Engineers, 1 Product Manager, 1 Program Manager and support.
    Why is the position open? Waiting on approval to hire a FTE
    Typical Day in the Role
    Daily schedule 9-5 ? Can be flexible.
    OT, Weekend, or Holiday schedule We're off on holidays, no OT or weekends
    Task Breakdown and Workflow Per sprint plans, help build the infrastructure for Bina.
    Internal Team interactions Daily Standups, engineering weekly meetings, sitting next to each other and working
    Work environment Office culture
    Compelling Story & Candidate Value Proposition
    What makes this role interesting Forefront of AI development and learning. Automating and building useful things.

    We're looking for a Software Development Engineer to help design, build, and scale Bina's agentic AI platform. You'll work at the intersection of generative AI, distributed systems, and compliance automation building the core primitive that thousands of Amazonians rely on to ship faster and safer.

    What You'll Do
    Design and implement Bina's serverless backend (API Gateway, Lambda, DynamoDB, S3) on AWS
    Build and maintain MCP (Model Context Protocol) servers and tools that power Bina's agentic workflows
    Develop integrations with internal platforms (AZA, Q CLI, UBX, Kiro) to meet builders where they are
    Implement context management, prompt orchestration, and RAG pipelines using AWS Bedrock
    Build extensible frameworks that allow compliance teams to "Bring Your Own Wisdom " via scripted workflows
    Implement AuthN/AuthZ flows using CloudAuth and transitive authentication
    Develop feature flagging, prompt versioning, and monitoring systems to ensure reliable, auditable AI behavior
    Contribute to hallucination mitigation strategies, confidence scoring, and deterministic guardrails

    Team culture/ selling points Small team, all located in Boston. 4 Engineers, 1 Product Manager, 1 Program Manager and support. (same as above)
    Candidate Requirements
    Top 3 Must Have Hard Skills
    (Top 3 ranked in importance)
    Basic Qualifications
    2+ years of professional software development experience
    Proficiency in Python or TypeScript
    Experience building and operating production services on AWS (Lambda, API Gateway, DynamoDB, S3)
    Strong understanding of distributed systems and API design
    Bachelor's degree in Computer Science or equivalent experience

    Nice to haves
    (Top 3 ranked in importance)
    Preferred Qualifications
    Experience with generative AI / LLM application development (prompt engineering, agentic architectures, RAG)
    Familiarity with MCP (Model Context Protocol) or similar agent-tool frameworks
    Experience with authentication/authorization systems (OAuth, transitive auth)
    Understanding of compliance, privacy, or policy automation domains
    Track record of building extensible, multi-tenant platforms
    Excellent written communication you can explain complex technical concepts to non-technical stakeholders

    Leadership Principles
    (Top 2 ranked in importance)
    1. Deliver Results
    2. Bias For Action
    Years of Experience 2+
    Disqualifiers Bad Attitude
    Performance Indicators Delivering Results
    Degree/ Certification Requirements None specifically
    What background does someone have that is successful in this role? Agentic AI Development
    Candidate Review & Selection
    Number of Interviews 3
    Type of Interviews 1 with HM, 2 with Engineers on the team
    Extra interview prep for candidate
    Background Check and Request Logistics
    Request Summary (For Program Office Use Only) Paste Below Contents into Job Description Field for Supplier Visibility
    Will the contractor drive an Amazon issued vehicle?
    If yes, MVR will be required
    no Submission Limit
    Monitors/ Delegates
    IMPORTANT COMPLIANCE NOTES FOR SUPPLIERS:
    1. Last 4 digits in their SSN are required for all candidates upon submittal in the VMS.
    2. Sub-contracting is not permitted.
    3. The terms of the Supplier Tri-Party Services Agreement with PATH MSPs govern all assignments through the Amazon Contingent Workforce Program (PATH). Posting the Amazon name, group names, technologies, project code names, or program office information on public-facing sites is strictly prohibited.
    More information on the above policies can be found in your Supplier Manual. If you have any questions, please reach out to contingent-us-can@amazon.com .

    Numbers & Facts

    LocationBoston, MA

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