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About the Role

Traackr is a global SaaS technology company providing a data-driven influencer marketing platform. This position is 100% remote, with the understanding that occasional in-person attendance may be required for trainings, meetings, and team gatherings.

Responsibilities

• Own backend features end-to-end: discovery, design, implementation, rollout, and ongoing reliability and operations, with support from more experienced teammates as needed.
• Help design and evolve distributed systems (services, pipelines, and data stores) with an eye toward 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 power product features, analytics, and machine learning workloads.
• Ensure data reliability, quality, and performance across our systems, and monitor and troubleshoot pipelines to ensure consistent, timely delivery.
• Build strong engineering habits: thoughtful code reviews, solid testing, incident readiness, and operational excellence.
• Apply an experimentation-first approach: define hypotheses and success metrics/guardrails, run controlled rollouts and A/B tests when appropriate, and write clear readouts for stakeholders.
• Use AI coding tools like Claude Code productively and responsibly as part of your development workflow - for implementation, debugging, refactoring, and design reviews - while maintaining high standards for correctness, security, and privacy.
• Bring evaluation discipline to AI-assisted work: treat prompts and configs like versioned artifacts, design regression tests, measure quality changes, and monitor for drift the same way you would for performance or correctness.
• Grow continuously: actively seek feedback, learn new tools, languages, and domains quickly, and apply what you learn to your work.
• Collaborate with Product Managers and fellow Engineers to ship intelligent, data-driven products.
• Share knowledge with teammates through clear documentation, pairing, and participation in code reviews.
• Document systems, pipelines, and architecture, and help evolve our engineering best practices.
• Stay current with emerging tools, frameworks, and trends across software, data, and AI engineering.

Requirements

• 2-4 years of professional software engineering experience building backend systems, and a desire to grow into larger distributed systems challenges.
• A growth mindset: curiosity, a habit of learning new tools and domains quickly, and openness to feedback.
• 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 as part of your workflow, and the discipline to validate outputs (tests, metrics, evaluation) rather than trusting them blindly.
• Strong problem-solving and communication skills, and the ability to collaborate across functions.

Skills

• Experience building and maintaining data pipelines (ETL/ELT).
• Exposure to event-driven architectures, cloud deployment on AWS, and containers (Docker/Kubernetes).
• Hands-on experience building or deploying AI/ML-powered features or data-driven products.
• Familiarity with machine learning workflows, including data preparation, training, and deployment.
• Familiarity with ML libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch, or similar).
• Exposure to LLMs, NLP, or generative AI use cases.
• Experience with Databricks, Apache Spark, or similar distributed data platforms (including cost monitoring and optimization).
• Experience deploying ML models using MLOps tools (e.g., MLflow, Airflow, Kubeflow).
• Experience with workflow/orchestration tools (Airflow, Argo, Dagster), Terraform/Ansible, and Grafana dashboards.
• Search/retrieval systems (Elasticsearch/Lucene) and GraphQL.
• Understanding of real-time or streaming data pipelines.

Location

• Remote

Work Type

• Remote
• Hybrid

Experience Level

• 2-4 years of professional software engineering experience

Salary/Compensations

• $90,000 - $120,000 a year

Benefits

• Competitive Salary
• Remote Work Options with Hybrid Flexibility and Home Office Set-Up Stipend
• Coworking Office Subscription for Collaborative Spaces
• Health, Dental, and Life Insurance Coverage*
• Open Vacation Policy and Flexible Holiday Schedule to Suit Your Needs
• Paid Parental Leave to Support Quality Time with Your Loved Ones
• Career Development, including Internal and External Training Opportunities

About the Company

• Traackr is a global SaaS technology company providing a data-driven influencer marketing platform that marketers use to optimize investments, streamline campaigns, and scale programs.
• Our customers range from some of the world’s largest companies in the beauty and personal care space to digitally native indie brands, which have all made influencer management and engagement a critical practice of their marketing and advertising programs.
• We are a remote-first company, and for the folks that like to meet in person, we have offices in San Francisco, New York, Boston, Paris, and London.
• We operate on a culture of mutual respect, with core value pillars including: Trust, Diversity, Value, Ownership, and Mutual success.

Equal Opportunity

• Traackr is an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other legally protected characteristics. All your information will be kept confidential in accordance with EEO guidelines.