Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Software Engineer, Backend Systems role.
Rezi rewrites your resume against Distributed Spectrum's job description. Free.
Tailor your resume to this Senior Software Engineer, Backend Systems role.
Rezi rewrites your resume against Distributed Spectrum's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Software Engineer, Backend Systems posting at Distributed Spectrum — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior Software Engineer, Backend Systems posting at Distributed Spectrum — free, in seconds.
About the Role
We're hiring a Senior Backend Engineer to design and build the services that sit at the heart of the Distributed Spectrum platform. You'll define how our backend evolves into an agent-native system, setting technical direction, making architecture decisions, and mentoring engineers.
Responsibilities
- Design, build, and operate backend services that are reliable, observable, and built to scale.
- Architect the agent layer of our platform, including tool-calling interfaces, orchestration, state management, memory, and evaluation harnesses for LLM- and model-driven agents.
- Own the ML inference architecture, including model serving, batching, GPU/CPU scheduling, latency and cost optimization, and the APIs that expose inference.
- Define service boundaries, data contracts, and API standards across the backend.
- Build for production, including instrumentation, alerting, graceful degradation, and clear runbooks.
- Partner closely with ML researchers to move models from experiment to production quickly and safely.
- Lead design reviews, mentor engineers, and raise the bar on code quality and engineering practice.
Requirements
- 4–6+ years of professional software engineering experience, with significant time spent building and running backend / distributed systems in production.
- Strong proficiency in at least one of Python, Go, Rust, or a similar systems-capable language; comfort moving between languages.
- Hands-on experience with AWS or another major cloud provider (GCP, Azure) — compute, networking, storage, IAM, and managed data services.
- Experience building or integrating LLM / agent systems: tool use, orchestration frameworks, RAG, evaluation, or comparable work.
- Experience serving ML models in production (e.g., Triton, TorchServe, vLLM, custom serving) and reasoning about throughput, latency, and cost.
- Deep understanding of APIs (REST / gRPC), async processing, message queues / streaming (Kafka, SQS, Kinesis, etc.), and data consistency trade-offs.
- Track record of owning systems end to end and making architecture decisions with long-lived consequences.
- Experience with containers and orchestration (Docker, Kubernetes, ECS).
- Background in signal processing, RF, geospatial, or other high-volume time-series domains.
- Experience with GPU programming or accelerated computing.
- Familiarity with regulated or defense-adjacent environments and their security expectations.
- Must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Skills
- Python
- Go
- Rust
- AWS
- GCP
- Azure
- LLM / agent systems
- ML model serving
- REST
- gRPC
- async processing
- message queues / streaming
- Kafka
- SQS
- Kinesis
- Docker
- Kubernetes
- ECS
- signal processing
- RF
- geospatial
- time-series domains
- GPU programming
- accelerated computing
Location
- NYC
Work Type
- Onsite
Experience Level
- Senior
Benefits
- Above-market salary, equity, and benefits package.
- Early Series A Equity
- Excellent health, dental, and vision coverage
- 401(k) match - up to 4% of your salary
- Flexible PTO
- Daily office lunches in NYC
About the Company
- DS creates systems that power the next generation of radio spectrum intelligence.
- We collect radio data from all over the world, train neural networks to decipher it, and run them on the smallest chips we can.
- We’re solving a new, technically hard problem where nothing from other fields works out of the box, and along the way, we’ve built our own stack from scratch, including entirely new embedding model architectures, custom GPU kernels, and much more.
- Joining DS means owning major parts of a fast-growing AI research organization, joining a collaborative, talent-dense team with decades of experience in probabilistic ML, accelerated computing, embedded systems, and signal theory, and growing your career in the areas that interest you.
- You’ll fit in if you want to come to work for the problem itself and don’t want to choose between technical rigor, business value, and real-world impact.
- We work with high ownership and trust.