Cleaner Jobs

About The Position

Requirements

• 5+ years of experience building and operating high-quality backend services in Java, Go, Python, or similar languages.
• Hands-on experience prompting, evaluating, and building with LLMs — not just autocomplete, but as a genuine development partner.
• Deep experience with agentic workflows, prompt engineering, context window management, and MCP/function calling.
• A track record of using AI tooling to multiply your own output — faster specs, better test coverage, cleaner code, faster debugging.
• Strong experience with microservices architecture, RESTful API design, and distributed systems.
• Solid skills with cloud infrastructure (AWS preferred), container orchestration, and production deployments.
• Experience with databases (relational and/or NoSQL), caching, and event/streaming systems.
• Ability to collaborate across teams and articulate technical tradeoffs clearly.
• A genuine drive to define what AI-native looks like for complex, hardware-connected systems — you're not waiting for the playbook, you want to write it.
• Daily use of AI coding assistants (Claude Code, Cursor, and GitHub Copilot) for real, substantive tasks: analysis, coding, refactoring, testing, navigating codebases, and documentation.
• Accountability for everything you ship, including AI-generated code.
• Operating with meaningful leverage using AI to do more with the same time, taking on problems that would otherwise require a larger team.
• Sharing what works, automating prompting strategies, and helping teammates earlier in their AI workflow adoption get up to speed.
• Staying current with tooling changes and bringing recommendations to the team when something would meaningfully improve how we work.

Nice To Haves

• Experience with IoT, telematics, or embedded/hardware-adjacent systems.
• Familiarity with Kafka, Kinesis, or other high-throughput streaming platforms.
• Experience with high-frequency ingest systems and time-series data.
• Background with observability tooling (Prometheus, Grafana, OpenTelemetry, DataDog).
• Knowledge of SRE practices and automated testing frameworks.

Responsibilities

• Design, build, and maintain backend services for device connectivity, telemetry ingest, health monitoring, and command/control operations — using AI (Claude Code) as a first-class collaborator in your daily development workflow.
• Use agentic workflows to dramatically increase delivery velocity without sacrificing quality: from generating service scaffolding, to writing and validating test coverage, to triage and root cause analysis during incidents.
• Help define and codify AI-native engineering practices for the Devices Cloud team — establishing patterns the broader org can adopt.
• Collaborate with firmware, mobile, and product teams to define APIs and workflows for device-driven features.
• Build and own data pipelines for high-throughput telemetry streams using Kafka or similar streaming technologies.
• Deliver scalable, resilient microservices on AWS (EKS, Lambda, DynamoDB, SQS, etc.).
• Instrument services for observability, reliability, and SLO compliance.
• Participate in on-call rotation and live incident response.
• Write clean, testable, performant code; contribute to CI/CD automation and improve team-wide engineering standards.
• Mentor teammates and help evolve the team's AI-native engineering culture.

Benefits

• Competitive pay and benefits
• Medical, dental, vision, life and disability insurance plans (US and Canada)
• 401(k) plan with company matching (US) / RRSP with DPSP matching (Canada)
• Employee Assistance Program (EAP) for mental well-being
• Flexible PTO, plus several company-wide days off throughout the year
• Winter and Summer week-long synchronized company shutdowns
• Learning & Development programs
• Equipment, tools, and reimbursement support for a productive remote environment
• Free Life360 Platinum Membership for your preferred circle
• Free Tile Products