Principal Software Automation Engineer

Job Summary

What You’ll Do

• Partner with technical leadership to define and evolve the framework architecture for the Solutions Automation team, including design patterns, technology selection, and integration standards
• Define standards and reference patterns for integrating generative AI into the software development lifecycle, including AI-assisted test generation, triage, and developer tooling, with clear attention to quality, code provenance, IP, and security
• Prototype new frameworks, patterns, and AI-augmented tooling to validate architectural decisions before team-wide adoption
• Partner with the associate director and engineering managers to shape and drive the long-term technical roadmap, establishing and maintaining technical standards, coding practices, and quality benchmarks, and reviewing and approving designs
• Own lab and framework standardization, ensuring consistent environments and tooling across all teams, and drive technical modernization and platform scalability initiatives
• Represent the Solutions Automation team (SAT) in Technical Interchange Meetings (TIMs), Daily Change Control Boards (DCCBs), and other technical forums, and facilitate architecture reviews and technical workshops that elevate the team’s capabilities
• Grow the technical depth of every engineer on the team through mentorship, design and code reviews, pairing on hard problems, and leading technical onboarding for new hires
• Provide technical evaluation support during hiring, including the design of technical interview assessments and candidate evaluation

What You’ll Need to Succeed

• Required Qualifications
• Preferred Qualifications

Required Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field
• 10+ years of progressive engineering experience, preferably in software development, automation, and/or testing
• Demonstrated experience defining software architecture, framework design, and technical standards for automation or software development teams
• Demonstrated experience integrating generative AI tooling into software development or test automation workflows, with the judgment to know where AI adds leverage and where it adds risk
• Strong understanding of modern software development practices, CI/CD pipelines, cloud-native architectures, and software testing principles (including test strategy, automation, and integration with the SDLC)
• Proven ability to define and communicate technical vision, making architecture decisions that balance innovation with pragmatism, and to evaluate and introduce new technologies, tools, and patterns that improve team productivity and product quality
• Excellent communication skills, with the ability to convey complex technical concepts clearly to both engineering and non-technical stakeholders
• Product-minded engineering judgment and strong design taste, with experience collaborating with product managers or directly with end users to ensure the team solves the right problems and ships tooling users genuinely want to use
• Curiosity and a growth mindset, with a pattern of learning new domains and tools quickly, sound judgment in assessing risks, tradeoffs, and second-order effects when making architecture decisions, and the willingness to change direction when new evidence contradicts earlier assumptions
• Bias for action and a track record of shipping complex technical initiatives end to end

Preferred Qualifications:

• Knowledge of satellite communications, computer networking, or telecommunications systems
• Exposure or experience with laboratory test environments
• Experience with internal developer platforms, platform engineering, or developer experience (DX) initiatives
• Experience with infrastructure-as-code, modern CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, etc.), or DevSecOps practices
• Experience with agentic or autonomous systems, AI evaluation frameworks, or evaluating AI coding assistants at team or org scale
• Experience with software management tools (JIRA, etc.)
• Experience scaling engineering practices across multiple Agile delivery teams

Additional Requirements

• U.S. citizenship required (due to U.S. government contract)
• Be on-call to support operational issues
• Be able to travel up to 15 days annually

Work Environment

This position primarily works in an office setting and is largely sedentary with the majority of the position working with a computer. Under Iridium’s Hybrid Work Policy, employees are expected to work at least three days per week (approximately 60%) in an Iridium office.

Job Details

Location: Remote, Chandler, AZ
Job Type: remote