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CreatorIQ is the operating system for creator-led growth, trusted by over 1,300 global brands and agencies. The company processes more than 250 million social posts daily across 15+ million creators worldwide, providing a centralized intelligence layer for creator relationships, performance, governance, and commerce.
As a Backend Software Engineer on the Social Integrations (Social API) team, you will build backend services and streaming pipelines that pull creator content, metrics, and audience data from Instagram, Facebook, TikTok, YouTube, X, Snapchat, Pinterest, Twitch, and third-party data providers. You'll transform this data into reliable foundations for campaign reporting, community discovery, and earned media value (EMV) calculations, handling approximately 1 billion social records per day. The role requires designing for resilience, token health, and monitoring from day one, as upstream APIs change without notice, throttle traffic, and fail unpredictably.
Key responsibilities include:
- Building and maintaining integrations with social platform APIs (Instagram, TikTok, YouTube, etc.)
- Developing backend services in Python and Go
- Working on streaming data pipelines using Kafka and AWS
- Modernizing legacy services and improving performance
- Supporting production by handling alerts and investigating data issues
- Building AI agents and tools (LLM-based agents, MCP servers) that automate engineering and support work, such as data triage
- Using AI across the development lifecycle: design, coding, testing, code review, and operations
- Collaborating with Product, Data, and other engineering teams
You'll work in a flexible model combining in-person and remote work, reporting to the Engineering Manager in the Warsaw office or remote within Poland.
REQUIREMENTS:
- 3+ years of commercial backend development
- Strong Python 3 skills, including asyncio, type hints, Pydantic, and pytest
- Production experience with Go
- Experience integrating third-party REST/GraphQL APIs at scale: OAuth, rate limiting, retries/backoff, idempotency, pagination
- Hands-on AWS experience, particularly Lambda, S3, SQS, Kinesis/Firehose, and Secrets Manager; plus Docker and working knowledge of Kubernetes
- Strong SQL: PostgreSQL and analytical warehouses such as Redshift with large, partitioned tables
- Experience with Kafka or similar streaming/messaging systems
- Good testing habits, plus experience with code review and CI/CD
- Hands-on experience building AI agents: LLM APIs, tool use/function calling, MCP, prompt and context design, evaluating agent output
- Fluency in an AI-assisted SDLC: using coding agents for design, implementation, tests, and review, while staying accountable for quality and security
- Comfort debugging production issues end-to-end from logs and metrics
- Good written and spoken English for working with global product and support teams
NICE TO HAVE:
- Experience with social platform APIs: Meta Graph and Marketing API, TikTok Business API, YouTube Data/Analytics
- Serverless Framework, Sanic or aiohttp, Helm
- Airflow, Databricks, or other data-engineering tooling
- Microsoft SQL Server or PHP knowledge for legacy code migration
- Observability tools: Coralogix, Prometheus/Grafana, CloudWatch
- Data modeling for metrics and analytics; versioned data contracts
- Background in influencer marketing, martech, or ad-tech
- Agent frameworks or SDKs (e.g., Claude Agent SDK, LangGraph); RAG and agent evaluation
