Software Engineer - Application Framework

Octus•New York, NY

About The Position

The Application Framework team at Octus owns the foundational platform — APIs, SDKs, and shared services — that powers application development across the organization. We're looking for a Software Engineer who enjoys solving platform problems, shipping high-quality code, and making other engineers more productive. AI is central to how we work — our team uses AI tooling throughout the entire development lifecycle, from design through code review. This isn't experimental or optional. If you're excited about building with AI as a core part of your workflow, you'll fit right in.

Requirements

Comfortable using AI tools (e.g., copilots, code generation, AI-assisted review) as a primary part of your daily engineering workflow — not as a novelty, but as a default
3+ years in software engineering, with experience building backend systems, APIs, or SDKs
Strong backend fundamentals — willing to pick up any language quickly, and go deep on C#
Experience working with cloud-based systems (AWS preferred)
Solid understanding of relational databases (PostgreSQL or similar)
Familiarity with distributed systems and event-driven patterns (Kafka, RabbitMQ, or similar)

Nice To Haves

Experience with multiple backend languages (C#, Python, PHP)
Exposure to both PostgreSQL and MySQL
Experience with caching layers (Redis or equivalent)
Experience with CI/CD pipelines and infrastructure as code
Interest in building internal developer tools or platforms

Responsibilities

Contribute to projects and shared SDKs from design through production, making pragmatic tradeoffs between speed and quality
Contribute to shared SDKs and libraries used across the organization
Write meaningful tests — unit, integration, and contract — that give confidence to ship
Grow toward owning larger initiatives independently over time
Participate in code reviews, giving and receiving feedback that improves quality
Collaborate with teammates through pairing, design discussions, and knowledge sharing
Contribute to technical discussions, architecture decisions, and sprint planning
Help monitor, troubleshoot, and improve production systems in distributed environments
Investigate and resolve technical issues systematically
Maintain technical documentation — architecture, API specs, runbooks, and coding guidelines