Senior Software Engineer II

About Lvt

Lvt is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI‑driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering its first mobile, solar‑powered units, the company’s scrappy, hands‑on innovation has made it an established leader and one of the fastest‑growing companies in intelligent site technology. Lvt is building the next generation of solutions—from physical units in the field to a powerful Agentic AI platform—that give customers unprecedented visibility and control over safety, compliance, and operations.

Recent recognitions include:

• Financial Times’ Fastest Growing Companies 2025
• #10 on the Inc. 5000 Rocky Mountain Regional list for 2025
• CEO Ryan Porter named EY Entrepreneur of the Year 2025
• CTO Steve Lindsey inducted into the Silicon Slopes CTO Hall of Fame 2024
• One of The Software Report’s Top 100 Software Companies of 2023
• Security Today Govies Award 2025

About the Role

Lvt is building an agentic AI platform that enables autonomous agents to perceive real‑world environments, reason over them, and act. Agents operate on an event pipeline that feeds them what’s happening across tens of thousands of edge devices and carries their decisions back out to the field. This role builds and hardens the cloud backbone of that platform—the event pipeline agents consume from and act through, and the context stores they query. You will own the cloud‑side reliability, throughput, and scale of the pipeline, the router/dispatcher that fans events to intelligence services, the projections that make events queryable (including the agent‑facing, MCP‑exposed context layer), and the observability that keeps it healthy under load.

You will partner closely with the edge team that produces events, the data team that owns the lakehouse, infrastructure/operations who run the managed log and broker, and the engineers building the agent and CV workflows that consume your platform.

Responsibilities

• Harden the event pipeline: ensure production‑grade consumer reliability, delivery and ordering guarantees, replay, idempotency, dead‑letter handling, and schema/contract enforcement at the boundary.
• Serve the agent layer: make the dispatch path to agent and CV workflows reliable, and expose event projections via MCP/agent‑facing query interfaces that agents read for context.
• Scale ingress and projections: stand up and scale materialized stores the pipeline serves from (operational hot store, cold capture into the lakehouse), keeping each projection fit to its access pattern and rebuildable from the log.
• Observability and operability: own the signals that make the pipeline supportable, including dashboards, alerting, and feature flags.

Requirements

• Backend / Distributed Systems Depth: 6+ years building and operating backend or distributed systems in production at scale, with strong systems and API design experience.
• Event Streaming / Log‑Based Architecture: hands‑on experience with Kafka or a comparable log/streaming system; topic and partition design, consumer‑group semantics, delivery guarantees, replay, and schema‑registry integration.
• Reliability & Observability: proven track record of hardening services for production, including SLOs, metrics and alerting, dead‑letter and failure handling, and the operational maturity to own on‑call trade‑offs.
• Storage & Projection Patterns: comfortable choosing and operating different stores per access pattern (document/relational hot stores; object storage / lakehouse for cold and analytical).
• Technical Foundation: strong in Go and/or Python; experience building APIs and large‑scale backend services.
• Cloud‑Native: AWS and Kubernetes, with a bias toward open, cloud‑portable components.
• Education: Bachelor’s or Master’s in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

• Building agent‑facing or MCP data‑access layers, governed query interfaces over operational data for autonomous consumers.
• Integrating agent or CV runtimes onto an event pipeline as pluggable consumers.
• Experience with stream‑processing frameworks (Benthos/Bento, Flink, or similar).
• Schema and contract tooling (protobuf/Avro, schema registry).
• Lakehouse producer experience (Iceberg / S3, CDC).
• MQTT / IoT ingest at scale (EMQX or comparable).

Compensation

The beginning annual salary range for this role is $185,000 – $230,000 USD and is determined by location, job‑related experience, and education/training. Total earning potential is amplified by a bonus structure tied to meeting goals, and you will become an owner from day one through the employee equity program.

Benefits

• Comprehensive health, dental, and vision coverage
• Retirement benefits (401k match up to 4 %)
• Flexible paid time off

Lvt is an equal‑opportunity employer. All applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Candidates must be authorized to work in the U.S. and will be required to pass drug screening and background checks (including, where applicable, a federal background check and fingerprinting). Reasonable accommodations are available for the application and interview process.