Role Description

As a Senior Software Engineer on our Video Recognition/ Livestream team, you will be building our real-time content analysis platform. You'll develop services in Go/Python, create AWS infrastructure using the CDK, and build ML/LLM integrations with the goal of designing, implementing, and improving systems that ingest live video/audio, analyze and classify content, and expose results via APIs and analytics.

What You’ll Do

• Design and implement features across the Go/Python backend (controller/processor services, analysis pipeline, API handlers) and the CDK stacks that run them.
• Extend the analysis pipeline: new taxonomies, prompt/template changes, better use of LLM outputs (e.g. segment boundaries, confidence, rationale).
• Harden production: observability (DataDog, CloudWatch), error handling, backpressure, cost and performance tuning for stream ingestion and API/LLM usage.
• Write excellent code that is simple to test, understand and maintain.
• Solve real problems through software and provide stable solutions consistently.
• Recommend architectural decisions based on business requirements, considering long-term and short-term needs.
• Drive participation in team code reviews, teaching less experienced developers how to improve the quality of their work.
• Develop a culture of quality within the engineering team.
• Participate in sprint planning, ensuring that realistic plans are set forth and delivered.
• Communicate challenges and strategies to technical and non-technical team members - ability to effectively communicate with executives, operations and fellow developers.
• Have the discipline to shift between establishing new features and maintaining legacy features based on the needs of the business.
• Recommend adoption of tools and process to improve our culture and results.

Qualifications

• 7+ years of professional experience with a variety of software applications.
• Strong Python experience required.
• Some experience with Go / Golang.
• AWS in Production: Hands-on experience with at least several AWS tools including ECS/Fargate, Lambda, DynamoDB, S3, Firehose, IAM. Bonus: CDK (or CloudFormation).
• Backend and APIs: You've built or operated REST (or similar) services, understand idempotency and validation, and care about latency, errors, and compatibility.
• Comfort with media/streaming: Experience with live streaming (e.g. HLS), ffmpeg, or audio/video pipelines is a plus. Willingness to learn is essential.
• ML/LLM integration: You've integrated third-party ML or LLM APIs (e.g. OpenAI) into production systems—prompting, retries, rate limits, and structuring outputs. Experience with content classification is a plus.
• Ownership and collaboration: You can own a slice of the system end-to-end, propose tradeoffs, and work closely with one other engineer (pairing, code review, and clear communication).

What Will Set You Apart (Nice to Have)

• Experience with content safety, ad tech, or taxonomy/classification systems (e.g. GARM, IAB).
• Data pipeline or analytics experience (batch/streaming ETL, schema design for analytics).
• OpenAPI codegen, API design, or multi-tenant/org-scoped systems.

Who You Are

• Comfortable working in a small team (you + one other engineer); direct collaboration and shared ownership of the repo.
• You love clean architecture and a flat package layout; we value clarity and maintainability over cleverness.
• Move fast while never compromising on quality, security, or reliability.
• Ability to work on multiple projects and be flexible to adapt to changing requirements.
• High energy, confident, ambitious and self-motivated individual.
• Must be an effective communicator.

Benefits

• Unlimited PTO with a healthy culture of taking time off to recharge so you can bring your best self to work.
• Competitive compensation packages.
• Comprehensive health and wellness benefits including modern support services via Bennie, such as a custom app and healthcare concierge to support a simplified benefits experience for our staff.
• Mental Health Support via Samata Health paid 100% by KERV.
• 401K with company match and 100% vesting on day 1.
• Unlimited referral bonuses.
• Flexible working schedules with remote and hybrid opportunities.

Salary Range

$150,000 — $155,000 USD