Software Engineer, Backend

Sift

Software Engineer specializing in agentic AI systems, enhancing workflows for hardware engineering teams. Engaging in product ownership and collaborating with customers to drive solutions.

Posted 7/23/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating agentic systems, with a strong focus on API development, distributed systems, and real-time data processing. Capable of integrating AI models and delivering customer-driven solutions while ensuring system reliability and performance.

Highest-signal resume keywords

API DevelopmentDistributed SystemsKubernetesGo ProgrammingPython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringREST APIsGRPCBackend ServicesTime-Series Data AnalysisTelemetry QueryingContext ManagementCustom Compaction AlgorithmsEvaluation Suite DevelopmentAgent Workload Scheduling

Soft Skills

Customer EngagementProduct OwnershipCuriosity About AI Products

Tools & Technologies

KubernetesMCP ServerTelemetry Tools

Industry Keywords

Agentic SystemsReal-Time Data ProcessingDistributed Systems FundamentalsAI ModelsComplex Backend Services

Tech Stack

Tools & technologies

CloudDistributed SystemsGoGRPCKubernetesPythonRust

About the role

Key responsibilities & impact

Talk directly to customers and partner with product to turn real review workflows into agent capabilities: generating dashboards, writing analysis scripts, and surfacing insights buried in their telemetry
Design, ship, and operate agentic systems that reason over large-scale time-series data and hardware domain context
Build everything around the model that makes agents dependable: tool interfaces, sandboxed execution for agent-generated code, context and memory management, custom compaction algorithms, opinionated skills, and guardrails
Build the distributed systems that let long-running agent work stream in real time, survive disconnects, and resume across restarts
Design job-based execution systems that schedule, scale, and tear down agent workloads on Kubernetes, both in the cloud and on-prem
Develop and maintain Sift’s MCP server, the tool surface that lets both our agents and our customers’ AI tools query telemetry directly
Design and implement the APIs that power our agentic capabilities
Build evaluation suites that measure whether agents actually help engineers, and instrument quality, latency, cost, and failure modes in production
Integrate and assess frontier models across providers

Requirements

What you’ll need

Have 3+ years of professional software engineering experience
Get excited about owning a product area: talking to customers, deciding what to build, and shipping it
Have built APIs (REST, gRPC, etc.) and complex backend services with technologies like Go, Python, Rust, or similar
Have a working knowledge of distributed systems fundamentals
Are curious about new AI products: you try new agents, models, and features as they ship, and have opinions about what makes them good.

Benefits

Comp & perks

Equity
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