Software Engineer

Traackr

Software Engineer building backend systems for a global SaaS influencer marketing platform. The role entails collaboration on data-driven product development and system reliability.

Posted 7/21/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesJuniorMid-Level💰 $90,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in backend system development, including API design, data pipeline optimization, and distributed systems architecture. Proficient in using AI coding tools responsibly while ensuring data reliability and performance.

Highest-signal resume keywords

Backend System DevelopmentAPI DesignData Pipeline OptimizationSQL and Data ModelingVersion Control (Git)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software Engineering FundamentalsDebugging SkillsPerformance TuningDistributed Systems DesignData Access PatternsMachine Learning WorkloadsExperimentation and A/B TestingData Reliability and QualityCI/CD WorkflowsAI Coding Assistants

Soft Skills

Problem-Solving SkillsCommunication SkillsCollaboration SkillsGrowth MindsetCuriosity

Industry Keywords

Distributed SystemsData PipelinesAnalyticsOperational ExcellenceEngineering Best Practices

Tech Stack

Tools & technologies

Distributed SystemsSQL

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

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