Manager, Software Engineering - Cloud infrastructure

Pyka's goal is to provide society with a new form of safe, clean, and cost-effective transportation enabled by autonomous electric aviation.

To get there, we're taking a different approach than most. We're applying our technologies to every industry where autonomous electric aircraft can be useful, starting with the highest value and most dangerous jobs. In doing so, we're building game-changing products manufactured at scale, while perfecting the safety, reliability, and capabilities of our autonomy engine and electric propulsion systems.

We design, develop and manufacture an ecosystem of technologies including proprietary flight control software, avionics, high power density motors, motor controllers, batteries, and custom carbon-fiber composite airframes.

Today, we supply autonomous electric aircraft for cargo transport and crop protection to real-world customers across four separate continents and have secured industry-first regulatory approvals from the FAA. Our cargo aircraft enables remote connectivity, enhances express delivery networks, and ensures fast and reliable shipping of critical supplies to areas in need. Our crop protection aircraft offers agricultural services providers and farmers an autonomous tool to make aerial application safer, more precise, and less harmful to surrounding environments.

Both vehicles are highly economical to operate, easy to deploy, and significantly reduce CO2 emissions in their respective industries.

What you work on at Pyka makes people's lives better now and brings the future of electric aviation one step closer each day.

Pyka is looking for a Cloud Infrastructure Manager to lead the team building and operating the cloud systems, data infrastructure, and developer tools that support our autonomous aircraft programs. Your team will build the infrastructure behind aircraft logs and operational data, software distribution, CI pipelines and machine learning pipelines, helping engineers develop and ship software efficiently and making data accessible and useful across the company.
In this role, you'll be responsible for both team execution and team health, making sure your team delivers high-quality work while growing as engineers. You'll work closely with engineering, flight operations and customer success teams to set priorities and build infrastructure that scales with our company and fleet.

Some of the current and future projects your team will contribute to include:

• Building and improving systems for collecting, storing, and accessing aircraft logs and operational data to support debugging, analysis, and fleet insights
• Improving our CI pipelines, build systems, and software release and distribution processes
• Developing infrastructure for machine learning pipelines, including data preparation and training
• Improving data management, access and analysis across the company
• Automating infrastructure provisioning, configuration, and deployment
• Developing internal tools and integrations that reduce manual work across engineering and operations
• Developing external tools for customers to access and visualize their flight, maintenance and inventory data
• Improving monitoring, recovery processes, security, and cost efficiency as our infrastructure grows

• Lead a team of engineers to deliver infrastructure and tooling projects end-to-end, from requirements definition to deployment and ongoing maintenance

• Own team and project roadmaps, balancing company priorities, operational needs, and long-term infrastructure improvements

• Own project execution, defining milestones and priorities, tracking progress, and adjusting as requirements evolve

• Own the infrastructure and practices for managing aircraft and engineering data

• Guide infrastructure decisions with attention to security, scalability, performance, and cost

• Hire, onboard, mentor, and support engineers through regular feedback and coaching

• Contribute technically when needed to guide architecture, review designs, debug complex issues, or unblock work

• 6+ years of experience in software engineering, cloud infrastructure, platform engineering, or related roles

• Prior experience managing engineers, including coaching, setting priorities, and supporting individual development

• Experience designing, deploying, and operating production systems on Google Cloud, including Google Cloud Storage and Big Query

• Strong technical foundation in Python, Linux systems, networking, databases, and modern software…