Lead Backend Engineer

Software Guidance & Assistance

Rockville, MD • 1h ago • On-site

Senior

On-site

84 - 89 USD/yr

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Quick Facts

  • Role: Lead Backend Engineer

  • Work model: Fully remote

  • Assignment type: Contract

  • Focus: Backend engineering, big data, and technical leadership

Description

Lead backend engineering for a cloud platform that helps financial analysts monitor U.S. market integrity. You’ll design and deliver distributed microservices and big data solutions on AWS while serving as a technical authority and mentor for the team. You’ll also champion responsible adoption of AI-assisted coding tools across the full SDLC.

Responsibilities

  • Lead the design, development, and delivery of solutions using distributed microservices and big data technologies on AWS (Hive, Presto, Spark, Hadoop)

  • Act as the technical authority for big data performance—diagnose bottlenecks and guide resolution of complex, system-level issues at scale

  • Own end-to-end project delivery and proactively remove engineering impediments (technical, process, or cross-team)

  • Translate business requirements into clear technical road maps and actionable engineering work

  • Mentor engineers through code reviews, constructive feedback, and enforcement of engineering best practices

  • Partner with product, architecture, QA, and DevOps to deliver scalable solutions

  • Champion adoption of AI tools (e.g., Kiro) throughout the full SDLC with a standard of responsible use (do not merge what you cannot explain)

Requirements

  • 10+ years of software engineering experience with demonstrated technical leadership

  • 5+ years with Hadoop, Spark, or Presto (internals, performance tuning, optimization)

  • Proven experience with AWS EMR (Hive/Presto), ECS, Lambda, and S3 at scale

  • 3+ years in Java, JavaScript/TypeScript, or SQL; 2+ years building REST/web services

  • Proven record leading end-to-end project delivery and resolving team impediments

  • Experience mentoring engineers and elevating team-wide engineering standards

  • Proficiency with CI/CD pipelines (Jenkins, CloudFormation) and scripting (Unix Shell or Python)

  • Hands-on experience with LLM-based coding tools (Kiro, GitHub Copilot, or similar) across the full SDLC, with ability to lead responsible AI-assisted development

  • Bachelor’s degree in Computer Science, Engineering, or related field

Benefits

  • Fully remote contract assignment

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