Software Engineer, Backend

Sift

Software Engineer developing dependable AI tools for hardware engineering teams. Collaborating with customers and shipping powerful agentic systems for real-time hardware insights in a hybrid setting.

Posted 7/23/2026full-timeMarina del Rey • 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 engaging with customers to drive product development and enhance AI capabilities.

Highest-signal resume keywords

API Development (REST, gRPC)Distributed Systems FundamentalsSoftware Engineering (3+ Years)Go, Python, RustReal-Time Data Processing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

API DevelopmentSoftware EngineeringDistributed SystemsTime-Series Data AnalysisComplex Backend ServicesTelemetry QueryingAgent Capabilities DesignEvaluation Suite DevelopmentCustom Compaction AlgorithmsJob-Based Execution Systems

Soft Skills

Customer EngagementProduct OwnershipCuriosity About AI Products

Tools & Technologies

KubernetesMCP ServerTelemetry Tools

Industry Keywords

Agentic SystemsAI ProductsReal-Time SystemsHardware Domain Context

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

Offers Equity
Offers Benefits