Senior Software Engineer, Backend

Jobtailor; California (MO); On-site; USD 150,000 - 230,000; Full time

Job summary

Jobtailor is seeking an experienced software engineer to own and ship core agentic capabilities. You will design APIs, build scalable backend services, and reason over time-series telemetry to surface actionable insights.

You will collaborate with product and customers to define priorities, implement robust systems, and ensure reliability across real-time AI workflows in cloud and on-prem environments.

Qualifications

• 8+ years of professional software engineering experience.
• Own a product area: talk to customers, decide what to build, and ship it.
• Built APIs (REST, gRPC, etc.) and complex backend services with Go, Python, Rust, or similar.
• Working knowledge of distributed systems fundamentals.
• Curious about new AI products and capable of evaluating agents and models.

Responsibilities

• Talk directly to customers and partner with product to turn real review workflows into agent capabilities.
• 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 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.

Skills

Go

Python

Rust

REST

gRPC

Time-Series Analysis

Telemetry Querying

Sandboxed Execution

Custom Compaction

Evaluation Suite Development

Tools

Kubernetes

MCP Server

Agentic Systems

Job description

• 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

• Have 8+ 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.

Core Competencies

Demonstrates expertise in building and operating agentic systems, designing APIs, and managing distributed systems. Proficient in developing complex backend services and integrating AI models while ensuring system reliability and performance.

Highest-signal resume keywords

• API Development
• Distributed Systems Fundamentals
• Backend Services Development
• Kubernetes
• Software Engineering

ATS Optimization Keywords

Hard Skills

• Go
• Python
• Rust
• REST
• GRPC
• Time-Series Data Analysis
• Telemetry Querying
• Sandboxed Execution
• Custom Compaction Algorithms
• Evaluation Suite Development

Soft Skills

• Customer Engagement
• Product Ownership
• Curiosity About AI Products

Industry Keywords

• AI Products
• Agent Capabilities
• Telemetry
• Real-Time Systems
• Complex Backend Services

Tools & Technologies

• Kubernetes
• MCP Server
• Agentic Systems