Build and own production software systems spanning embedded systems, real-time control, cloud services, and data pipelines. Responsibilities include architecture, coding, testing, reliability engineering, observability, incident response, technical design reviews, cross-functional hardware collaboration, hiring, and mentoring. The role requires strong systems fundamentals, distributed systems experience, debugging ability, and proficiency in at least one major programming language.
Description
About the role
You'll join a small, high-output engineering team building software systems for defense technology products. Our stack spans embedded systems, real-time control, cloud services, and data pipelines — the right candidate will own significant surface area across more than one of these. We move fast, ship frequently, and hold a high bar for reliability and correctness.
What you'll do:
- Design, build, and own core software systems end-to-end — from architecture decisions through production deployment.
- Write clean, testable, well-documented code that other engineers can build on confidently.
- Lead technical design reviews; identify failure modes before they reach production.
- Collaborate closely with hardware, mechanical, and systems engineers — understand the constraints their work imposes on yours.
- Own reliability: define SLOs, build observability, respond to incidents, and drive root-cause resolution.
- Hire and mentor junior engineers and raise the technical bar of the team through code review and shared standards.
Required:
- 7+ years of professional software engineering, with demonstrable ownership of production systems.
- Strong fundamentals: data structures, algorithms, concurrency, and systems design.
- Fluency in at least one of: Python, Go, Rust, C/C++, or TypeScript — and genuine comfort picking up new languages.
- Experience designing and maintaining distributed systems or service-oriented architectures.
- Strong debugging instincts — you find hard bugs methodically, not by luck.
- Working English, written and verbal.
Nice to have:
- Experience in defense, aerospace, robotics, or other regulated/safety-critical domains.
- Background in real-time or embedded software, or comfort working close to hardware.
- Experience with CI/CD pipelines, infrastructure-as-code, or platform engineering.
- Familiarity with government cloud environments (AWS GovCloud, Azure Government).
- Prior work on C2 systems, sensor fusion, or autonomous systems.
How we work: Small team, fast iteration cycles. You'll have direct line to hardware and systems engineers, and real ownership of what you ship. We expect you to hold opinions, document decisions, and defend them — by us, by test, and by the field.
Similar Jobs
Software
Build and operate large-scale data pipelines for AI model training, including discovering audio data sources, improving data processing systems, and optimizing quality, throughput, and cost. Collaborate with AI scientists on training datasets and own engineering projects from discovery through continuous improvement. The role requires strong backend software engineering, production systems experience, Python, Bash, and Linux proficiency.
Top Skills:
BashGoogle Cloud Platform (Gcp)LinuxPythonTerraform
Software
Build and operate large-scale data pipelines that source, process, and optimize audio datasets for AI model training. Responsibilities include discovering data sources, improving data quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects end to end. The role requires strong backend software engineering, Python and Bash proficiency, production systems experience, and the ability to work independently in an ambiguous environment.
Top Skills:
BashGoogle Cloud Platform (Gcp)LinuxPythonTerraform
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Conduct red team, purple team, penetration testing, and threat emulation exercises across systems, networks, applications, and cloud environments. Identify vulnerabilities through reconnaissance, lateral movement, privilege escalation, phishing, social engineering, and adversary simulations. Develop custom scripts and tools, document findings, and communicate risks and recommendations to technical and non-technical stakeholders.
Top Skills:
Application SecurityBashCloud EnvironmentsComputer NetworksGitNetwork SecurityPython
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
.png)

