Software Engineer

Traackr is seeking a 100% remote Software Engineer to take ownership of backend capabilities end-to-end and contribute to distributed systems that support APIs, data pipelines, analytics, search, and machine learning workloads. The role also emphasizes reliability and operations, experimentation practices, and responsible use of AI coding tools.

Responsibilities

• Own backend features end-to-end, including discovery, design, implementation, rollout, and ongoing reliability and operations, with support from more experienced teammates when needed.
• Design and evolve distributed systems, including services, pipelines, and data stores, with focus on performance, scalability, and resiliency.
• Build and maintain APIs and data access patterns that enable analytics and search use cases.
• Develop, maintain, and optimize scalable data pipelines that power product features, analytics, and machine learning workloads.
• Maintain data reliability, quality, and performance across systems by monitoring and troubleshooting pipelines to support consistent, timely delivery.
• Practice strong engineering habits, including thorough code reviews, solid testing, incident readiness, and operational excellence.
• Use an experimentation-first approach by defining hypotheses and success metrics or guardrails, running controlled rollouts and A/B tests when appropriate, and writing clear readouts for stakeholders.
• Use AI coding tools such as Claude Code productively and responsibly for implementation, debugging, refactoring, and design reviews while maintaining standards for correctness, security, and privacy.
• Apply evaluation discipline to AI-assisted work by treating prompts and configurations as versioned artifacts, designing regression tests, measuring quality changes, and monitoring drift in the same way as performance or correctness.
• Collaborate with Product Managers and fellow Engineers to ship intelligent, data-driven products.
• Share knowledge through clear documentation, pairing, and participation in code reviews.
• Document systems, pipelines, and architecture, and help evolve 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 interest in growing into larger distributed systems challenges.
• A growth mindset, including 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 Git and CI/CD workflows.
• Comfort using AI coding assistants like Claude Code within the workflow, paired with discipline to validate outputs through tests, metrics, and evaluation rather than trusting them blindly.
• Strong problem-solving and communication skills, with the ability to collaborate across functions.

Technologies

• SQL
• Git
• CI/CD
• Claude Code
• A/B tests

Location and Compensation

Location: Boston, MA (remote)
Salary: USD 90,000 - 120,000 per year
Minimum experience: 2 years

Benefits

• Competitive Salary
• Remote work options with hybrid flexibility and a home office set-up 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, including internal and external training opportunities

Nice to Have

• 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 such as 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 such as MLflow, Airflow, or Kubeflow.
• Experience with workflow or orchestration tools (Airflow, Argo, Dagster), Terraform/Ansible, and Grafana dashboards.
• Experience with search/retrieval systems (Elasticsearch/Lucene) and GraphQL.
• Understanding of real-time or streaming data pipelines.

Privacy

• Traackr, Inc. has published a Privacy Notice, including CCAP for California and GDPR policies for its UK and European Union subsidiaries, accessible at https://www.traackr.com/privacy-policy.
• Questions, comments, and requests regarding data processing should be addressed to [email protected].
• Traackr may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses to identify potential inconsistencies or verification signals in application materials based on available information.
• Final hiring decisions are made by humans.

Unsolicited Resumes

• Traackr does not accept unsolicited resumes/CVs from headhunters or recruiting agencies sent directly to Traackr employees or through its website.
• Traackr will not pay fees to any third-party agency or company unless there is a signed agreement with Traackr.