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Lead Software Engineer (Backend)Aerovy • United States
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Lead Software Engineer (Backend)

Aerovy
  • US
    United States
  • US
    United States
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À propos

About Us
Aerovy is a fast-paced startup building the digital infrastructure for the next generation of intelligent hardware. We help OEMs rapidly launch cloud-native software and services, turning physical systems into smart, connected platforms.
We started by electrifying airports. Now, we're helping companies across aviation, mobility, and industrial sectors connect their hardware, orchestrate energy, and unlock new business models. The Aerovy Story Founded in 2022 to develop infrastructure for advanced air mobility Spun out from Purdue University Aerospace Systems Engineering research Backed by M25, Mudita, Flywheel Fund, Purdue Ventures, Quorum Venture Partners, Plug and Play, Knoll Ventures + more Crossing 200k devices on the platform, growing fast! Job Summary
As a lead software engineer at Aerovy, you'll lead architect and deliver core components of our cloud platform, serving real-time applications across energy, IoT, telematics, and AI.
You'll work on a modular extensible system that powers everything from EV fleets and battery platforms to electric aircraft and robotics. This is a hands-on, full-stack opportunity where you'll own features end-to-end, from concept to launch, and work closely with a nimble, high-caliber team.
If you're excited about building high performance production systems, solving hard problems at scale, and shipping real value in a fast-moving environment, we'd love to talk.
Job Requirements: Bachelor or Master of Science in Computer Science or related fields with 5 or more years of industry experience Passion for finding and solving hard problems Passion for learning and growing both technically and non-technically Strong understanding of distributed systems, micro-service architectures, RESTful APIs, and event-driven systems Extensive experience in Cloud/IaaC Infrastructure and Tooling preferably AWS (EC2, Lambda, S3, RDS, AWS Batch, DynamoDB, CloudFormation/CDK, etc.) Excellent communication skills and proven ability to convey complex ideas to diverse stakeholders in a concise and clear manner Designed, developed and maintained high-performance services and software infrastructure using AWS or equivalent cloud services Lead technical design and architecture discussions across multiple systems and teams Championed engineering best practices, including CI/CD, monitoring, testing, and code quality We are looking for a candidate with a proven track record shipping production systems to lead the development of a scalable, secure, and high-performance platform Nice to haves: Production experience in Cloud/IaaC Infrastructure and Tooling preferably AWS (EC2, ECS, Lambda, S3, DynamoDB, CloudFormation/CDK, etc.) Production experience in Docker/containerized applications Production experience with near real-time/real-time analytics, time series databases Production experience with MQTT Responsibilities You will play a key role in architecting solutions, mentoring engineers, and driving technical excellence across our cloud-native platforms. You will be expected to function independently and proactively. You will be routinely given requirements and be accountable to drive delivery end-to-end. You will be expected to derive clear actionable engineering requirements from customer requirements, market data, and product strategy. Collaborate with cross-functional teams to deliver business-critical features and services Provide mentorship and guidance to junior and mid-level engineers Own the reliability, scalability, maintainability, and performance of critical production systems Contribute to the long-term technical vision and roadmap of our platform aligned with product strategy and business needs Additional Notes This is an in person role in Seattle with hybrid opportunities available on a case-by-case basis, offering flexibility while ensuring close collaboration with product, engineering, and business stakeholders.
  • United States

Compétences linguistiques

  • English
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