Elementl Power

Software Engineer

🇺🇸 Remote, United States Remote IT Full time Senior Posted Jun 5, 2026
Location Remote, United States
Workplace Remote
Employment Full time
Seniority Senior
Category IT
IT Category Full Stack Engineer
Language English
Posted June 5, 2026
Last verified June 6, 2026
JobGrid context

Role summary by JobGrid

Software Engineer at Elementl Power: Remote, United States; Full time; Senior; IT; Full Stack Engineer. This listing is part of JobGrid's Remote software engineer jobs from public company career pages. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: Remote, United States
  • Role classification: IT, Full Stack Engineer, Full time, Senior
  • Source freshness: checked by JobGrid on 2026-06-06.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

Who We Are!

Elementl Power Inc. is an advanced nuclear project developer and independent power producer, building scalable pathways for clean, resilient energy. We break the stalemate in advanced nuclear deployment by delivering turnkey development, financing, and ownership solutions — empowering customers to access nuclear power without the burden of operating assets.

The Opportunity.

We're excited to add a Software Engineer to our growing AI and IT team! Reporting to the VP of AI & IT, you'll serve as Elementl's primary software builder — designing, building, deploying, and operating the agents, data pipelines, and internal applications that turn the company's data into a measurable advantage across our portfolio of nuclear development projects.

This is a hands-on, full-stack engineering role. Claude Code is the primary day-to-day engineering environment. You'll spend most of the week building: standing up agents on Google Cloud using the Google Agent Development Kit (ADK) and wiring those agents to operational source systems.

You own the full delivery path — Terraform-based infrastructure as code on GCP, GitHub Actions CI/CD, secrets management, logging, monitoring, alerting, cost controls, and the security guardrails that keep agent systems auditable in a federally regulated nuclear development context. Where IT operations need automation, you're the technical builder, partnering with the IT Operations Lead on requirements and audit evidence.

What You'll Do!

AI Agents and Applications

  • Design, build, deploy, and monitor production AI agents using the Google Agent Development Kit (ADK) on GCP and the Claude CoWork ecosystem.
  • Build agents that read from and write to the operational systems the company depends on daily.
  • Ship a portfolio of Claude plugins.
  • Build and operate AI usage monitoring across the company — token consumption, adoption, leaderboards, and the impact metrics that feed executive reporting.

Data Platform and Integrations

  • Land and model priority operational source systems into the data lake with documented data dictionaries and freshness SLAs.
  • Build the integration surface — MCP servers, APIs, event triggers, scheduled jobs, and ETL pipelines.
  • Stand up and maintain executive Power BI dashboards on top of various data sources.
  • Design and build function-specific AI agents that combine the data lake with operational systems.

Cloud Infrastructure, DevOps, and Platform Engineering

  • Own all GCP infrastructure as code in Terraform.
  • Operate the GitHub Actions CI/CD pipeline for every system built: automated tests, security scans, environment promotion, and rollback.
  • Stand up and own logging, metrics, tracing, alerting, and cost monitoring for all agent and data systems in GCP, with on-call expectations appropriate to a small team.
  • Maintain a clean, auditable software supply chain.

Security, Compliance, and IT Automation

  • Partner with the IT Operations Lead on technical implementation of security monitoring, log aggregation, and identity automation.
  • Build automation that produces audit and export-control evidence: access reviews, audit logs, and configuration baselines.
  • Implement controlled data handling in data systems consistent with 10 CFR Part 810.
  • Enforce least-privilege access, MFA, conditional access, and segregation of controlled data in every system you build.

Engineering Practice

  • Use Claude Code as the primary engineering environment for planning, implementation, refactoring, code review, runbook automation, and incident response.
  • Write code that is testable, observable, and small enough for the next engineer to understand quickly.
  • Maintain a running engineering wiki of architecture decisions, runbooks, and skill templates.
  • Operate the engineering function with the discipline of a regulated industry: pull request review, documented change management, environment separation, and incident postmortems.
  • Continuously stay abreast of advancements in AI best practices.