Senior Software Engineer

About the role

Nation Graph is building something that has never been done before – a quantitative intelligence layer across more than 110,000 fragmented public agencies, journals, and government bodies. Think Bloomberg, but for the public sector. We scrape, parse, and structure an enormous volume of qualitative data – PDFs, press releases, town hall recordings, budgets, contracts – and turn it into the kind of signals and predictions that were previously only available to hedge funds and institutional finance.

As our senior infrastructure and backend engineer, you will own the systems that make this possible at scale. That means the databases, authentication, cybersecurity, and the full web application infrastructure that our ML/AI team builds on top of. You will work directly with our CTO to ensure our systems can handle rapid growth in usage, and you will take on increasing responsibility for the engineers around you as the team grows.

Responsibilities

Own a product and engineering leadership role in our rapidly growing startup.

We are looking for someone with strong opinions about building world class products. You will be critical in shaping features and architecture from the ground up.

Build on the cutting edge with AI and building on top of the rapid growth in AI capabilities.

Accelerate your learning curve. Solve complex, uncharted problems with a high-caliber team.

Every decision you make materially changes the trajectory of the company.

Work with a team that deeply values product elegance and user experience in a design-driven culture.

You will be regularly partnering with design, sales, and marketing on end-to-end product narratives.

Tech stack

Strong Python - async frameworks, ORMs, background task queues. You understand connection pooling, async execution models, and why a naive ORM query can tank an endpoint

Strong TypeScript/React - Next.js, modern state management, component-driven UI. You build complex interfaces that stay fast as data and complexity grow

Solid PostgreSQL - you're comfortable with indexing strategies, EXPLAIN ANALYZE, query optimization, and writing efficient queries against large tables. You've hit N+1 problems and know how to fix them

Redis - caching patterns, pub/sub, basic queue usage

REST API design - versioned endpoints, pagination over large datasets, bulk operations, authentication middleware

Docker & Kubernetes basics - containerized deployments, reading logs, understanding resource limits

Nice to have

Advanced PostgreSQL - partitioning, lock contention, connection pool tuning, safe migrations on live tables, denormalization tradeoffs

Distributed job processing - retries with backoff, dead-letter handling, backpressure, graceful degradation when downstream services fail

Frontend performance at depth - virtualization, memoization strategies, code splitting, profiling re-renders

Redis beyond caching - streams, consumer groups, eviction policies, debugging slow consumers

Kubernetes operations - horizontal scaling, debugging OOMKills, resource tuning, Helm charts

Go - goroutine concurrency, channel patterns, memory efficient stream processing

LLM/AI integration - calling model APIs at scale, rate limit management across providers, prompt optimization, RAG pipelines

AWS services - managed Kubernetes, RDS, caching layers, VPC networking, IAM roles

Terraform - reading and modifying infrastructure modules

Real-time systems - websockets at scale, connection lifecycle, fan-out patterns, reconnection handling

Data pipeline experience - processing large document sets (PDFs, spreadsheets), ETL workflows, idempotent processing, deduplication

Payment integrations - subscriptions, webhook idempotency, billing edge cases

OAuth / JWT / modern auth platforms