Traackr

Traackr

Software Engineer

Boston, MA

Sponsorship not specified$90k-$120kDetected 1 day ago
Distributed SystemsCode ReviewGitSQLElasticsearchDatabricksAWSDockerKubernetesTerraformAnsibleCI/CDGrafanaMachine LearningTensorFlowPyTorchscikit-learnSparkAirflowData EngineeringNLPLLMsMLOpsA/B Testing

About the role

  • We operate on a culture of mutual respect, with core value pillars including: Trust.
  • Bringing diverse perspectives to the table results in stronger outcomes.
  • We take pride in solving the hardest challenges and feel accountable for our commitments.

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.
  • Build strong engineering habits: thoughtful code reviews, solid testing, incident readiness, and operational excellence.
  • 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.
  • Collaborate with Product Managers and fellow Engineers to ship intelligent, data-driven products.
  • Document systems, pipelines, and architecture, and help evolve our engineering best practices.
  • discovery, design, implementation, rollout, and ongoing reliability and operations, with support from more experienced teammates as needed.
  • 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.

Requirements

  • Solid debugging skills and the ability to troubleshoot and performance-tune production services.
  • Experience with version control (Git) and CI/CD workflows.

Nice to have

  • Exposure to event-driven architectures, cloud deployment on AWS, and containers (Docker/Kubernetes).
  • 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.

Skills

  • Share knowledge with teammates through clear documentation, pairing, and participation in code reviews.
  • Stay current with emerging tools, frameworks, and trends across software, data, and AI engineering.

Compensation

  • Competitive Salary

Benefits

  • 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
  • Develop, maintain, and optimize scalable data pipelines that power product features, analytics, and machine learning workloads.
  • Remote Work Options with Hybrid Flexibility and Home Office Set-Up Stipend

Company info

  • 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.
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This listing is sourced directly from Traackr's careers page and normalized into a canonical job model.