Traackr

Traackr

Traackr is the leading data-driven influencer marketing software that empowers marketers to find influencers, manage campaigns, and access insightful reporting. Our platform supports influencer marketing strategies, streamlines campaigns, and scales gl...

Internet Software & Services
51-250
Founded 2009
$13M raised

Description

  • Own backend features end-to-end, including discovery, design, implementation, rollout, and ongoing operations.
  • Design and evolve distributed systems such as services, pipelines, and data stores for performance, scalability, and resiliency.
  • Build and maintain APIs and data access patterns that support analytics and search use cases.
  • Develop, maintain, and optimize scalable data pipelines that support product features, analytics, and machine learning workloads.
  • Ensure data reliability, quality, and performance across systems, including monitoring and troubleshooting pipelines.
  • Apply strong engineering practices through code reviews, testing, incident readiness, and operational excellence.
  • Run experiments and controlled rollouts, including A/B tests, success metrics, guardrails, and stakeholder readouts.
  • Collaborate with Product Managers and Engineers to ship intelligent, data-driven products.
  • Document systems, pipelines, and architecture, and share knowledge through pairing and code reviews.
  • Use AI coding tools responsibly in implementation, debugging, refactoring, and design reviews.

Requirements

  • 2-4 years of professional software engineering experience building backend systems.
  • Strong general-purpose programming skills and software engineering fundamentals.
  • Solid debugging skills and the ability to troubleshoot and performance-tune production services.
  • Strong SQL and data modeling skills.
  • Experience with version control (Git) and CI/CD workflows.
  • Comfort using AI coding assistants like Claude Code, with discipline to validate outputs using tests, metrics, and evaluation.
  • Strong problem-solving and communication skills, with the ability to collaborate across functions.
  • Growth mindset with curiosity, a habit of learning quickly, and openness to feedback.
  • Experience building and maintaining data pipelines (ETL/ELT) is preferred.
  • Exposure to event-driven architectures, AWS, Docker, or Kubernetes is preferred.
  • Hands-on experience with AI/ML-powered features, data-driven products, or machine learning workflows is preferred.
  • Familiarity with ML libraries/frameworks such as scikit-learn, TensorFlow, or PyTorch is preferred.
  • Exposure to LLMs, NLP, or generative AI use cases is preferred.
  • Experience with Databricks, Apache Spark, Airflow, Argo, Dagster, Terraform, Ansible, Grafana, Elasticsearch/Lucene, GraphQL, or streaming data pipelines is preferred.

Benefits

  • Competitive salary.
  • Remote work options with hybrid flexibility and a home office setup stipend.
  • Coworking office subscription for collaborative spaces.
  • Health, dental, and life insurance coverage.
  • Open vacation policy and flexible holiday schedule.
  • Paid parental leave.
  • Career development with internal and external training opportunities.

Interested in this position?

Apply directly on the company website

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