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Cascade AI

Senior Backend Software Engineer

Cascade AI

Senior Backend Engineer designing and managing backend systems for Cascade's AI-driven HR solutions. Collaborating with cross-functional teams to deliver scalable and reliable backend engineering solutions.

Posted 6/13/2026full-timeBellevue • Washington • 🇺🇸 United StatesSenior💰 $130,000 - $170,000 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesMongoDBNoSQLPostgresPythonServiceNowSQL

About the role

Key responsibilities & impact
  • Design and own the architecture of backend services that power Cascade's AI agent platform, making decisions on system boundaries, data flow, and scalability.
  • Lead technical design for complex features — write design docs, drive architecture reviews, and ensure alignment across teams.
  • Build and evolve APIs that support conversational interactions, task execution, and long-running enterprise workflows.
  • Design data models and storage layers across relational and NoSQL databases (PostgreSQL, Firestore), optimizing for performance and reliability at scale.
  • Own production reliability for your systems — define SLOs, build monitoring and alerting, and lead incident response.
  • Develop and iterate on LLM orchestration logic in Python, including prompt execution, tool calling, state management, and evaluation frameworks.
  • Build ingestion and retrieval pipelines for HR documents and structured data used by AI agents.
  • Design and improve evaluation and testing frameworks to measure and increase agent accuracy and reliability.
  • Integrate deeply with enterprise systems such as HRIS platforms (Workday, ADP, UKG), ticketing tools (ServiceNow, Jira), and communication tools (Slack, Microsoft Teams).
  • Implement authentication, authorization, and access controls to meet enterprise security and compliance requirements.
  • Mentor junior and mid-level engineers through code reviews, pairing, and technical guidance.
  • Identify and drive improvements to engineering processes, tooling, and best practices across the team.
  • Collaborate with product, frontend, and customer teams to shape roadmap priorities and ship end-to-end features.

Requirements

What you’ll need
  • 5-8+ years of professional backend engineering experience in production environments.
  • Strong proficiency in Python, including experience building backend services and data-intensive systems.
  • Proven experience designing and building entire backend services end-to-end, with a track record of making sound architecture decisions.
  • Solid understanding of data modeling and databases, including SQL (PostgreSQL) and NoSQL systems (e.g., Firestore or MongoDB).
  • Experience with cloud infrastructure (GCP, Azure, or AWS), including service deployment, networking, and cost optimization.
  • Familiarity with containerization and deployment workflows (Docker; Kubernetes strongly preferred).
  • Strong software engineering fundamentals: system design, testing, performance, and reliability.
  • Experience leading technical projects — scoping work, breaking down ambiguity, coordinating across teams, and delivering on time.
  • Demonstrated ability to mentor other engineers and raise the quality bar for a team.
  • Comfort operating with ambiguity and evolving requirements in a fast-paced environment.

Benefits

Comp & perks
  • Offers Equity
  • Bonuses
  • OC
  • Professional Development
  • Paid time off

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonAPI developmentdata modelingPostgreSQLFirestoreNoSQLcloud infrastructureDockerKubernetesLLM orchestration
Soft Skills
mentoringtechnical designcollaborationleadershipproblem-solvingcommunicationprocess improvementadaptabilityproject managementteam coordination