Sr. Software Engineer (Django+ React / Vue.js)

Job Description Responsibilities: - Drive feature strategy alongside product, break down complex product bets into phased technical plans and lead execution across the team. - Own the full lifecycle of major product features: scoping, technical design, cross-team coordination, delivery, and post-launch iteration. - Architect and evolve our backend platform across Node.js/TypeScript and Python services on AWS, making decisions on service boundaries, data flow, resilience, and scale. - Own end-to-end delivery of large, ambiguous projects from scoping and design through rollout and operational stability Design and maintain our data layer spanning PostgreSQL, DynamoDB, Elasticsearch, and Athena; own the lightweight data warehouse strategy, including schema design, query optimisation, and data pipeline reliability. - Define and enforce infrastructure-as-code practices with Terraform; drive containerisation and orchestration standards with Docker and Kubernetes. - Lead the technical approach to AI-native product development, agentic orchestration, LLM integration patterns, tool-use architectures, and real-time voice systems. - Champion secure engineering practices across the team; establish standards for auth (OAuth/JWT/RBAC), input validation, secrets management, dependency scanning, OWASP compliance, and data privacy. - Set engineering standards for code quality, testing, observability, and incident response. - Mentor SDE-1s and SDE-2s through design reviews, code reviews, and pairing; raise the bar on engineering culture. - Be a force multiplier: identify bottlenecks (technical and process), propose solutions, and unblock the team. Requirements: - 5+ years of backend engineering experience with deep expertise in TypeScript/Node.js (NestJS, Express) and strong Python proficiency. - Proven track record of designing and scaling distributed systems in production on AWS. - Strong multi-database fluency: You’ve architected systems across relational (PostgreSQL), NoSQL (DynamoDB), search (Elasticsearch), and analytical stores (Athena) and can reason about when to use what. - Hands-on with Terraform, Docker, and Kubernetes: you’ve set up and maintained production infrastructure, not just used it. - Experience managing data at scale, schema evolution, ETL/ELT patterns, query performance, and lightweight warehouse maintenance. - Strong security posture - experience designing secure systems end-to-end, including auth architectures, threat modelling, secure CI/CD pipelines, and compliance-aware data handling. - Deep understanding of the AI landscape: LLMs, agentic patterns, function calling, RAG, embeddings - and the ability to translate that into engineering decisions - Awareness of GCP and Azure architectures even if AWS is your primary. - Strong opinions on system design, loosely held; you make architectural trade-offs explicit and drive alignment across teams. - Startup tempo; you ship fast without cutting corners on what matters. Company Summary Bridgetown Research offers packages with targeted insights, data, and analyses that answer your specific questions. Additional services include the set-up of ongoing research programs, analyst calls, and introduction to implementation consultants. Research packages are developed by AI trained by industry experts, with an equivalent of over 100 years of experiential training in 5 domains - Technology, Telecom, Life Sciences, Healthcare, and Financial Services. All research packages are manually reviewed by former consultants from leading firms. Why Join Us We are a small, close-knit community of computer scientists, econometricians, software engineers, and business consultants. We are building software to help consulting firms offer a more affordable and broader range of services to businesses of all sizes! We’re always looking for polymaths with a history of building something (anything! ) to join us.

Required Skills [‘Java’, ‘Generative AI’, ‘JavaScript’, ‘Python’, ‘Node.js’, ‘Express.js’, ‘NestJS’, ‘Agentic AI’, ‘Distributed Systems’, ‘NoSQL’, ‘SQL’, ‘DevOps’, ‘LLMs’, ‘Golang’, ‘Ruby’, ‘Ruby on Rails’, ‘TypeScript’, ‘Docker’, ‘Kubernetes’, ‘Architecture’]

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