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Traackr

Influencer discovery, vetting, and management platform

Software Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-time$55k - $70k /yr

About the Job

Requirements

  • Four to seven years of experience building production web applications across the front end and back end, ideally for B2B users.
  • Strong Python and TypeScript/Node.js skills, with production experience in both.
  • Strong experience with at least one modern JavaScript framework, with Vue 3 preferred and React, Angular, or Svelte also welcome, and experience with design systems and component libraries while working closely with designers.
  • Experience designing, building, and integrating APIs and backend services; knowledge of REST or GraphQL and authentication flows such as OAuth 2.0, including services between a user interface and downstream systems such as backend-for-frontend services.
  • Solid SQL and relational database fundamentals, including Postgres or MySQL, data modeling, and query performance.
  • Understanding of data and features at scale, including experience building features and pipelines that query, move, and process large datasets efficiently.
  • Hands-on experience building LLM-powered features or AI agents, such as tool calling, MCP, and agent orchestration, and validating outcomes with tests and evaluations rather than relying blindly on outputs.
  • Comfort using AI-assisted engineering tools day to day.
  • Experience mentoring or unblocking other engineers.
  • Clear written and verbal communication skills for collaborating with cross-functional teams.

Responsibilities

  • Design, develop, and maintain software across Vue 3 front ends and micro-frontends, backend services and backend-for-frontend services in Python and Node.js, and product and partner APIs.
  • Own the entire feature development lifecycle, from initial design and coding through deployment and ongoing maintenance.
  • Maintain quality through unit, integration, and Cypress end-to-end testing, debugging, troubleshooting, and constructive peer code reviews.
  • Collaborate with product, design, data, and engineering teams, proactively seeking feedback and assistance to ensure successful project outcomes.
  • Contribute to architecture and design discussions and ensure solutions are scalable and maintainable.
  • Mentor engineers through code reviews, pairing, and knowledge sharing.
  • Build and integrate AI agents and agentic tooling, including LLM-powered workflows, MCP servers and tool calling, and agent orchestration, into user-facing features, applying testing and evaluation discipline.
  • Create and maintain evaluations that measure the quality and reliability of agent and LLM outputs, using Databricks for evaluation pipelines and analysis.
  • Build features that work at scale, including Databricks pipelines that move and transform large volumes of creator, content, and campaign data.
  • Consider the effects of changes on users and downstream teams, conduct usability checks, and adjust based on feedback.
  • Participate in an on-call rotation for two weeks every two months to ensure system reliability and timely issue resolution.

Desired Qualifications

  • Experience with code instrumentation, performance testing, and observability tools such as OpenTelemetry, CloudWatch, Grafana, or Prometheus.
  • Exposure to scalable, highly available, and resilient systems.
  • Experience with micro-frontend architecture or shared component libraries.
  • Experience with rapid prototyping to test new ideas and features.
  • Familiarity with microservices architecture and the trade-offs between monolithic and distributed architectures.
  • Experience with Databricks, Spark, or similar platforms, including evaluation pipelines for LLM or agent systems.
  • Practical knowledge of queues, messaging, and event-driven systems.
  • Experience with containerized environments such as Docker or Kubernetes.
  • Experience with CI/CD systems.
  • Experience with Go or interest in learning it.
  • End-to-end testing experience with Cypress or similar tools.
  • Familiarity with PHP codebases, including the older PHP/CakePHP system maintained by the company.

About the Company

Traackr

Influencer discovery, vetting, and management platform

Traackr provides an influencer marketing platform that helps brands discover, vet, manage, and measure relationships with social media influencers. Its tools cover influencer discovery, vetting and brand safety checks, campaign and program management, budget optimization, and ongoing relationship management, all offered via a subscription service to brands and marketing agencies. The product works by letting users search and evaluate potential influencers, plan and launch campaigns, track performance and spend, ensure brand-aligned partnerships, and maintain a database of influencer relationships. Traackr differentiates itself through an integrated, tech-driven suite focused on risk management and scalable program governance, backed by a strong emphasis on customer success. The company's goal is to enable brands to run effective, scalable influencer marketing programs that reach the right audiences and clearly measure impact.

Company size
51-200
Company stage
Debt Financing
Total funding
$16.7M
Headquarters
San Francisco, CA
Founded
2009

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