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Tech Stack
Tools & technologiesDistributed SystemsDjangoJavaPostgresPython
About the role
Key responsibilities & impact- Own and evolve core systems for freight brokerage operations and related services: quoting, booking, pricing and rate logic, contracts, carrier compliance, facility matching and location/address data quality, and scheduling-oriented workflows.
- Lead technical initiatives across several Python/Django services, including design, phased rollout, and safe deprecation—not only single-service features.
- Drive platform and reliability work: database and dependency upgrades, search/indexing changes, performance tuning (queries, indexing, caching), secrets/credential patterns, and tooling that prevents bad deployments (e.g. migration safety, validation pipelines).
- Ship high-impact product and revenue work: pricing and benchmark integrations, compliance/load-registration flows, feature-flag and segmentation strategies, and scope-shaping that ties technical design to business outcomes.
- Define engineering standards for the squad and beyond: ADRs, shared client/integration layers, test and observability patterns, and code review culture that teaches (SOLID, architecture, thorough PRs)—including shared patterns between API and UI.
- Operate production systems: incident response, war-room coordination, root-cause analysis, and fast stabilization PRs when freight brokerage operations are at risk.
- Collaborate tightly with product on discovery and requirements—framing problems, narrowing scope with technical options, and sometimes presenting outcomes to senior stakeholders.
- Mentor and level up teammates through pairing, design review, and informal leadership—without necessarily being a people manager.
Requirements
What you’ll need- Senior back-end engineer with a track record of owning ambiguous, multi-step projects end-to-end across API and UI (design → implementation → rollout → observability), comparable to tech-lead-level delivery on a business-critical system.
- Strong Python and Django (or demonstrably deep transfer: e.g. long professional experience in Java/JVM ecosystems plus substantial Python web work in production).
- PostgreSQL expertise: schema design, production database migrations, query plans, indexing, and fixing latency/regression issues—not only CRUD.
- Distributed systems and multi-service reality: async jobs/queues, events, idempotency, integration failures, and debugging across service boundaries.
- Proven impact outside “greenfield” only: experience in large or evolving codebases, modernization (framework/DB/search/runtime upgrades), or cost/performance work with measurable outcomes.
- Production mindset: on-call or equivalent experience, incident response, and prioritizing stability under operational load.
- Technical leadership without relying on title: examples of leading migrations, integrations, or architecture decisions; mentoring; and aligning engineers across teams.
- Clear written and verbal communication: design docs, ADRs, RFCs, or review threads that other engineers adopt as reference.
Benefits
Comp & perks- Competitive base salaries - we believe in rewarding top talent
- Extremely competitive Equity package - become a shareholder in our company!
- Loadie Time Off - PTO and sick days without a limit
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonDjangoPostgreSQLAPI designdatabase migrationsperformance tuningdistributed systemsasync jobsdebuggingincident response
Soft Skills
technical leadershipmentoringclear communicationcollaborationproblem framingscope narrowingdesign reviewinformal leadershiproot-cause analysisteam alignment
