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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend Engineer - **Company:** BLUEVISION AI INC - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Big Data, Software Quality, Information Engineering, Web Scraping, Data Infrastructure, Distributed Systems, Amazon DynamoDB, Electronic Data Interchange (EDI), Python (Programming Language), PostgreSQL, NoSQL, Operational Databases, Queueing Systems, Azure Machine Learning, SQL Databases, TypeScript, Data Logging, Data Processing, Backend, Event Driven Architecture, Build Management, Apache Kafka, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/senior-backend-engineer-data-platform-bluefish-ai-8110869 ## About the Role * 5+ years building and operating production backend or data platform systems. * Strong distributed systems fundamentals: event-driven architectures, async processing, message queues. * Experience with AWS: SQS/SNS, Kafka, Lambda, ECS, S3, and EventBridge. * SQL and NoSQL database experience (PostgreSQL, DynamoDB). * Experience designing systems with robust error handling, idempotency, and reliable delivery guarantees. * Comfortable working across languages; our stack is Python and TypeScript and you'll be expected to be productive in both. * Experience mentoring mid/junior engineers and raising the technical bar across a team. Nice to Have * Experience with pipeline orchestrations. * Background in web scraping or data acquisition at scale. * Familiarity with vector databases or ML-adjacent infrastructure (embeddings, inference endpoints). * Experience with big data, especially with AI/ML platforms and use-cases. * Infrastructure as Code experience (Terraform). * Ability to partner with product, AI, BI, and data science teams as a technical thought partner, translating business and analytical needs into data platform decisions. * Experience working across time zones in distributed teams, with a track record of defining collaboration rhythms (communication standards, documentation practices, and ceremonies) that keep geographically dispersed teams aligned., * Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren't afraid to roll up your sleeves in a fast-paced, evolving environment. * Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value. * Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes. * Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind. * Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals. * Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done. ## Description This role sits within the Data Engineering team and focuses on building scalable, observable, and resilient systems that handle production data. You will work closely with data engineers and product teams to level up data pipelines and ensure data acquisition scales with the business. This is an exciting opportunity to shape the future of AI-driven technologies and make meaningful contributions to real-world applications. This role is based in our NYC office and follows a hybrid working policy with 3 days in office. What You'll Be Doing * Design and build production-grade backend services and pipelines that carry data reliably from ingestion to downstream consumers. * Design and operate data exchange interfaces for external customers: APIs, exports, and delivery mechanisms that meet reliability, security, and contractual requirements. * Make architectural decisions balancing cost, reliability, and throughput across distributed systems. * Build resilient infrastructure with smart retries, backoff strategies, dead-letter handling, and failure recovery. * Participate in end-to-end observability: structured logging, metrics, alerting, and on-call. * Collaborate cross-functionally to integrate new data sources and serve evolving platform needs. * Set technical direction and raise the bar on code quality, testing, and system design. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)