Ideal Candidate Profile: Seeking a Senior Full Stack Engineer with experience using AWS serverless tech stack with an emphasis on Node, React, Dynamo single table solutions, in addition to leveraging AI tools to design and build next-generation user experiences. Candidate should have strong experience in Node/ Dynamo and LLMs and AI. You'll work across architecture, data, and product design to implement LLM-driven tools that personalize, automate, and enhance users' journeys.
Job Duties & Responsibilities
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.
Design and implement solutions using the latest technologies, deep familiarity with AWS serverless stacks, Dynamo DB, React and Node JS
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.
Create sharable documentation, both technical and non-technical
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
Required Skills & Experience
Strong knowledge and hands-on experience with back-end technologies such as Node.js and/or Python
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)
5+ years' experience with relational and NoSQL databases (e.g., DynamoDB, OpenSearch, ElasticSearch, PostgreSQL, MySQL, Redshift)
5+ years of Software engineering experience designing, building, testing, and managing scalable web applications in AWS cloud-hosted environments
1+ years working with LLMs, NLP, or applied ML systems.
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.)
Enthusiasm for learning new technologies, especially in the fast-moving GenAI space
Hands-on experience with LLM frameworks and APIs (e.g., OpenAI, Anthropic).
Familiarity with prompt engineering, few-shot learning, and context management techniques.
Experience working in Agile/Scrum environments
Strong analytical thinking, structured problem-solving, and practical decision-making skills
Effective communication and documentation skills
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 able to provide actionable feedback, mentor team members, and participate in interviews to evaluate engineering talent.
Bachelor's degree in computer science, Machine Learning, or related engineering fields
