Backend Software Engineer (Python / Go)

CreatorIQ is the operating system for creator-led growth trusted by more than 1,300 global brands and agencies.

We’re on a mission to make businesses more human, and humans more impactful. We operate by our values — be intentional, pursue excellence every day, embrace the journey together, and be a good human — every day. CreatorIQ has earned the title of best companies to work for in multiple programs, including BuiltIn LA and NY. It’s been named a Fastest-Growing Company in North America on the Deloitte Technology Fast 500™ for four years, was named a leader in IDC MarketScape: Worldwide Influencer Marketing Platforms for Large Enterprises in 2025, was named a Leader by The Forrester New Wave™: Influencer Marketing Solutions, and has been consistently recognized by G2 as a Leader, and is rated 5 stars on Influencer MarketingHub. We operate in a flexible work model that combines both in-person and remote work to boost collaboration, enhance innovation, and adapt to individual work styles.

We're seeking passionate, innovative minds to join our journey. Be a part of our dynamic team and let's transform the industry together!

Backend Software Engineer (Python / Go)

Employment Type: Full time Employment Contract

As a Software Engineer on the Social Integrations (Social API) team, you’ll build the 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 turn that data into reliable foundations for campaign reporting, community, discovery and earned media value (EMV) across CreatorIQ, at a scale of roughly 1 billion social records per day. Upstream APIs change without notice, throttle traffic and fail in creative ways, so you’ll design for resilience, token health and monitoring from day one. This is a full-time backend role based in our Warsaw office or remote within Poland, reporting to the Engineering Manager.

In this role, you’ll get to:

• Build and maintain integrations with social platform APIs, including Instagram, TikTok, YouTube and others.

• Develop backend services in Python and Go.

• Work on streaming data pipelines using Kafka and AWS.

• Modernize legacy services and improve performance.

• Support production by handling alerts and investigating data issues.

• Build AI agents and tools (LLM-based agents, MCP servers) that automate engineering and support work, such as data triage.

• Use AI across the whole development lifecycle: design, coding, testing, code review and operations.

• Collaborate with Product, Data and other engineering teams.

Who you are and what you’ll need for this position:

• 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, in particular 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 a similar streaming/messaging system.

• 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, enough to work 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 enough PHP to read and migrate legacy code.

• Observability: 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.

Confidence can sometimes hold us back from applying for a job. But we'll let you in on a secret: there's no such thing as a 'perfect' candidate. Have 50% of the criteria? Excited about this opportunity? Passionate about what we do at CreatorIQ? Please apply! CreatorIQ is a place where everyone can grow.

What you will get from us:

• People: work with talented, collaborative, and friendly people who love what they do.

• Guidance: utilize our learning platform to fully get the training and tools you’ll need to become successful here from your first day with us.

• Surprise meal stipends: work from home can’t stop the enjoyment of someone else making a meal for you!

• Work/life harmony: 26 days vacation, floating and set holidays, wellness allowance, and paid parental leave.

• Medical insurance, life insurance, and business travel insurance

• Stock options as part of our equity-sharing program.

• Comprehensive perks program providing stipends for cell phone and internet, home office setup, mental wellness, professional development and tuition reimbursement, plus occasional company-funded meal opportunities throughout the year.

Compensation, benefits, and beyond:

We understand that a comprehensive benefits package plays a significant role in your overall compensation. To gain more insight into the various components of our total compensation, we invite you to review our benefits and perks .

AI Transparency Notice

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications and note taking during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please refer to our Global Candidate Privacy Notice .