Software Engineer

Traackr is hiring a 100% remote Software Engineer in Boston, MA to own backend capabilities end-to-end and support distributed systems across data, analytics, search, and machine learning workloads.

Responsibilities

• Own backend features end-to-end: discovery, design, implementation, rollout, and ongoing reliability and operations (with support from senior 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 for analytics and search use cases
• Develop, maintain, and optimize scalable data pipelines that power product features, analytics, and ML workloads
• Drive data reliability, quality, and performance; monitor and troubleshoot pipelines to ensure consistent, timely delivery
• Strengthen engineering habits: thoughtful code reviews, solid testing, incident readiness, and operational excellence
• Use an experimentation-first approach: define hypotheses and success metrics/guardrails, run controlled rollouts and A/B tests when appropriate, and publish clear stakeholder readouts
• Use AI coding tools such as Claude Code productively and responsibly for implementation, debugging, refactoring, and design reviews while maintaining correctness, security, and privacy standards
• Apply evaluation discipline to AI-assisted work: treat prompts and configs as versioned artifacts, add regression tests, measure quality changes, and monitor for drift like performance or correctness
• Collaborate with Product Managers and Engineers to ship intelligent, data-driven products
• Share knowledge through documentation, pairing, and participation in code reviews
• Document systems, pipelines, and architecture; help evolve engineering best practices
• Stay current with emerging tools, frameworks, and trends across software, data, and AI engineering

Requirements

• 2 to 4 years of professional software engineering experience building backend systems; interest in growing into larger distributed systems challenges
• Growth mindset: curiosity, ability to learn new tools and domains quickly, and openness to feedback
• Strong general-purpose programming skills and software engineering fundamentals
• Strong debugging skills; ability to troubleshoot and performance-tune production services
• SQL and data modeling skills
• Experience with Git and CI/CD workflows
• Comfort using AI coding assistants such as Claude Code and validating outputs using tests, metrics, and evaluation rather than trusting blindly
• Strong problem-solving and communication skills; ability to collaborate across functions

Technologies

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

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

Nice to Have

• Experience building and maintaining data pipelines (ETL/ELT)
• Exposure to event-driven architectures, AWS cloud deployment, 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 & Salary

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

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
• All questions, comments, and requests regarding data processing at Traackr 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 and identifying potential inconsistencies or verification signals in application materials based on available information
• Final hiring decisions are ultimately 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 any fees to any third-party agency or company unless there is a signed agreement with Traackr