Principal Software Engineer

Iridium Satellite, LLC•Chandler, AZ

21d•$150,000 - $200,000•Hybrid

About The Position

Iridium is seeking a hands-on technical leader with expertise in test automation, software architecture, and the engineering tooling that powers modern development teams. In this role, you will serve as the technical authority over automation framework for our Solutions Automation team. You will partner closely with the associate director, engineering managers, and stakeholders to translate the long-term technical roadmap into well-designed solutions, leading through technical authority rather than direct reports. You will thrive in this role if you are a technically sound engineer who is able to solve complex architecture problems, set standards that elevate the entire team, and drive innovation through automation. Our work spans the full stack and then some: from device-level integration (Python/pySerial talking directly to hardware) up through Python data and automation services (FastAPI, Pandas, NumPy, Airflow), event streaming with Apache Pulsar, PostgreSQL and the ELK stack, and out to React front-ends on Linux. Parts of our infrastructure run on AWS (EC2, ECS/ECR, ALB/NLB), and we're actively expanding our cloud footprint. We're looking for someone comfortable operating across that whole range, not an expert in every tool.

Requirements

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
Comfort operating across the full stack, including low-level device or hardware integration, with the ability to reason about system behavior from the protocol layer up to the user interface
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
Applicant must be a U.S. citizen to comply with U.S. government contract requirements.

Nice To Haves

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

Responsibilities

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