Design, build, and scale high-throughput full-stack systems supporting climate intelligence products. Develop Node.js microservices, REST APIs, React applications, data models, aggregation pipelines, and Redis-based performance solutions. Architect and monitor AWS services, optimize production systems handling millions of API calls, and own features through deployment and support. Lead technical design discussions, review code, mentor engineers, and collaborate with product and data teams.
About Ambee
Ambee is building climate intelligence. We combine proprietary on-ground sensor data, satellite and earth observation data, and advanced data science to produce hyperlocal insights on air quality, pollen, weather, wildfire and more. Businesses and organisations use this intelligence through our APIs and platforms to understand environmental risk and make better decisions. Behind it are data systems that process massive volumes of data every day, so scale, accuracy and reliability are core to everything we build.
About the role
We're hiring a Senior Full Stack Engineer to design, build and scale the systems behind Ambee's climate intelligence products. You'll build high-throughput applications and large, data-driven applications that our customers rely on to run climate intelligence and make better business decisions. You'll own features end to end, from APIs, data stores and pipelines to the React applications customers use daily. The work involves millions of API calls, large datasets and heavy aggregations. You'll also guide other engineers and help set technical direction.
What you'll do
- Gather requirements with stakeholders and turn them into documented, scalable, fault-tolerant and highly available designs.
- Design, build and maintain scalable backend services and REST APIs in Node.js, using a microservices approach, that handle millions of requests reliably.
- Build fast, responsive, SEO-friendly front-end applications and dashboards in React.
- Model and optimise data across MongoDB and relational databases (MySQL/PostgreSQL), including complex queries and aggregation pipelines over large datasets.
- Use Redis for caching, rate limiting, queues and other performance-critical patterns.
- Architect, deploy and monitor services on AWS with a focus on performance, availability and cost.
- Tune performance across the stack, including query optimisation, indexing, caching, concurrency, load handling and deployment strategy.
- Break complex features into atomic tasks with detailed designs and effort estimates.
- Own multiple services maintained by the team, from design through release and production support.
- Lead design discussions, review code and mentor engineers to raise the bar across the team.
- Work closely with product, data teams to ship reliable data products.
What you'll need
- 6+ years of professional software development, with significant full stack experience.
- Strong fundamentals in data structures, algorithms and system design.
- Strong JavaScript (ES6+), HTML5 and CSS3 skills. TypeScript is a plus.
- Deep hands-on experience with Node.js (Express, NestJS or similar) for building production REST APIs and microservices.
- Strong experience with React, modern front-end tooling and state management, and with responsive, SEO-optimised front ends.
- Solid experience with MongoDB, including schema design, indexing and the aggregation framework.
- Solid experience with at least one relational database such as MySQL or PostgreSQL.
- Practical experience with Redis.
- Working knowledge of AWS services such as EC2, Lambda, S3, RDS, ECS/EKS and CloudWatch.
- A proven track record of building big data applications that handle millions of API calls and large datasets, and of debugging them under real production load.
- Experience driving the full SDLC in an agile team, covering requirements, design, development, unit testing and CI/CD automation.
- A user-first mindset and a commitment to engineering, security and design best practices.
Good to have
- Relevant certifications, such as AWS Certified Developer or Solutions Architect.
- Experience with LLMs and generative AI frameworks (for example LangChain, LlamaIndex, OpenAI or Anthropic APIs, vector databases).
- Python experience.
- Exposure to Apache Spark and to building and deploying data pipelines (ETL/ELT, batch or streaming).
- DevOps exposure including Docker, Kubernetes, CI/CD pipelines, infrastructure as code (Terraform or CloudFormation) and observability tooling.
Who you are
- You work independently. You take ambiguous problems, break them down and drive them to production with little supervision.
- You lead. You've guided a team or pod, set technical standards and helped engineers grow.
- You think about scale, reliability and cost from day one, not as an afterthought.
- You communicate clearly with engineers and non-engineers alike.
- You're driven by the impact of your work, love digging into hard problems, and are always keen to learn something new.
Why join Ambee
- Work on real-scale problems involving high-volume APIs and large environmental datasets used by customers worldwide.
- Build products that help people and businesses respond to climate risks.
- High ownership, a small and fast-moving team, and room to grow into technical leadership.
- Exposure to data engineering, AI/ML and cloud infrastructure alongside core product work.
Not quite this role?
We're always looking for people who bring new perspectives, curiosity and fearlessness to our work. Write to us at [email protected] with the role you have in mind and we'll get in touch.
Ambee Bengaluru, Karnataka, IND Office
Church Street, Bengaluru, Karnataka, India, 560001
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