Sr. Platform Engineer

KERVAustin, TX
Hybrid

About The Position

Headquartered in sunny Austin, TX with a growing footprint in the heart of NYC, KERV.ai is an award-winning, boundary-pushing company that's transforming how content and commerce converge in media. As the leader in AI-powered video analysis and monetization, our patented technology breaks video down frame by frame, making every object, product, or moment instantly interactive, measurable, and shoppable. We serve as the connective tissue between creative, commerce, and data, helping the world’s top brands and publishers turn video into a truly dynamic and rewarding experience for their audiences. At KERV.ai, we’re not just redefining how people engage with media. We’re building the future of it. If you’re looking to work at the intersection of innovation, storytelling, and smart technology with a team that’s shaping what’s next in media, we’d love to meet you. THE CHALLENGE AHEAD 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.

Requirements

  • 7+ years of professional experience with a variety of software applications
  • Strong knowledge of either the Python or Go programming languages (Go experience preferred)
  • 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).

Nice To Haves

  • 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.

Responsibilities

  • 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

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
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