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Lead Backend Engineer

LanceSoft Inc
🇺🇸 United States
On-site
Staff / Principal
2 months ago
$75 – $80 / hour
  • Java
  • AWS
  • React.js
  • Node.js
  • Agile
  • Scrum
  • CI/CD
  • Machine Learning
  • TypeScript
  • NoSQL
  • PostgreSQL
  • MySQL
  • Redshift
  • DynamoDB
  • CloudWatch
  • X-ray
  • RAG
  • SNS
  • SQS
  • Step Functions
  • IAM
  • KMS
  • API Gateway
  • JavaScript
  • Next.js
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Title: Lead Backend Engineer
Location: Remote

Pay Range: $75/hr. to $80/hr. on w2

JOB DESCRIPTION

Profile: Lead engineer with both leadership and hands-on development skills.
Team: BigFuture This team is working on Student facing products/programs – Both New and redesign of legacy Java applications into modern AWS based React/ Node applications. Most dev teams work in a poly skilled manner working on automation and improving frameworks for testing in addition to core development.



In this role, you will:
Design and Development (60%)

  • Design and deliver high-quality software that is scalable, secure, and reusable—leveraging modern technologies, proven design patterns, and cloud-native practices to power BigFuture’s core tools.
  • Collaborate with product owners, architects, and stakeholders to uphold the highest engineering standards and translate big ideas into impactful, student-facing solutions.
  • Break down new product capabilities into actionable, verifiable technical changes that move quickly from concept to reality.
  • Design and implement solutions to allow rapid testing of innovative concepts using the latest technologies, typically React web apps
  • Create sharable documentation, both technical and non-technical
  • Exercise discretion in prototyping: investing time to make sure the most important things work well, and working with the team to mock or minimize less important features
  • Maintain clean code and strong engineering standards such that when prototypes are greenlit for further development, the project is easy to build upon
  • Continuously develop the skills required to work with this rapidly developing technology

Team Operations & Success (30%)
  • Participate in, or lead Agile SCRUM ceremonies (Sprint Planning, Grooming, Daily SCRUM, Demo) by contributing to team deliverables and driving alignment, focus, and momentum across sprints.
  • Elevate team performance by giving and receiving thoughtful code reviews, mentoring peers, and helping solve complex technical challenges.
  • Assist in resolving production issues with urgency and precision, ensuring a smooth and reliable user experience.
  • Model discipline in adhering to development standards, security practices, and CI/CD principles while helping the team move fast without compromising quality.
  • Continuously grow your skills and embrace a poly-skilled environment where everyone contributes beyond their specialty.
  • Serve as an organizational Subject Matter Expert on implementing Generative AI applications
  • Work with our Enterprise Architecture team to review and/or establish implementation patterns involving Generative AI tools
  • Advise on, and where feasible, create tools and infrastructure that will enable teams to safely deploy Generative AI tools

Learning & Sharing (10%)
  • Keep abreast of developments in GenAI capabilities and implementations
  • Share knowledge of new developments with the team via chats, meetings, and presentations when appropriate
  • Serve as an advisor to internal teams developing staff education around Generative AI

About you, you have:
  • 7+ years of professional experience designing, building, testing, and managing scalable web applications in AWS-hosted environments
  • 3+ years’ experience building back-end applications using Node(with TypeScript)
  • Experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, Redshift, DynamoDB)
  • Experience building observability for your products: Set up CloudWatch, X-Ray, for logging, metrics, and alerts.
  • Hands-on experience implementing Generative AI applications (e.g., RAG chatbots, model fine-tuning, or other LLM-powered tools)
  • Enthusiasm for learning new technologies, especially in the fast-moving GenAI space
  • Strong knowledge and hands-on experience with back-end technologies such as Node.js
  • Experience with asynchronous programming and event-driven messaging patterns
  • Strong knowledge of AWS services (e.g., Lambda, SNS, SQS, S3, Step Functions, IAM, KMS, API Gateway, CloudWatch, DynamoDB)
  • Experience working in Agile/Scrum environments
  • Proven ability to mentor and coach less experienced teammates in new technologies
  • Strong analytical thinking, structured problem-solving, and practical decision-making skills
  • Effective communication and documentation skills
  • Proficiency in reviewing and improving code structure and architecture for testability, maintainability, and scalability, with hands-on experience in JavaScript/TypeScript, React, Node.js, Next.js, APIs, and AWS Serverless technologies (Lambdas, DynamoDB, S3, CloudWatch, etc.).
  • Leadership in the end-to-end design and implementation of user interfaces, from architectural planning and component strategy through to polished execution, including accessibility, performance optimization, and mentoring peers on building intuitive, scalable, and user-centric front-end solutions.
  • Strong problem-solving skills, working collaboratively with team members to identify and resolve issues, and partnering with Product Owners to prioritize backlog.
  • Proven ability to pitch new ideas and implement improved systems and processes, delivering excellent results.
  • Effective communicator and team lead, able to provide actionable feedback, mentor team members, and participate in interviews to evaluate engineering talent.
  • Bachelor's degree in computer science, or related engineering fields preferred

Lead Backend Engineer · LanceSoft Inc

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