Full Stack Software Engineer

ABOUT LITTLE PLACE LABS

Little Place Labs is reimagining how satellites process and deliver intelligence from orbit. We specialize in satellite edge computing, developing advanced solutions that process data directly on board, enabling real-time analysis, rapid decision-making, and a significant reduction in data downlink needs. Our vision is to turn satellites into autonomous, intelligent systems that don’t just capture data, but interpret it instantly. This capability unlocks critical advantages across defense, environmental monitoring, and global communications, providing insights with speed, efficiency, and security right from space.

Based across the US, Europe, and India, our team works on solving complex challenges in earth observation, space situational awareness, and autonomous satellite operations. Our rapidly growing team of mission-driven, space enthusiasts is passionate, innovative, and committed to a better future for planet Earth, the little place that we all call home.

WHY JOIN US

At Little Place Labs, you will :

Be at the cutting edge of Edge AI in space, shaping the future of real-time satellite intelligence.

Collaborate with a team of ambitious engineers, scientists, and product leaders building breakthrough technology.

Enjoy the flexibility of a remote-first culture while making a global impact.

POSITION SUMMARY

Remote - Full-Time role - for candidates based in India.

Little Place Labs is looking for a skilled and driven Full Stack Software Engineer with 2-4 years of experience to join our growing team. This is a hands-on development role working at the intersection of geospatial intelligence, real-time analytics, and scalable cloud systems. You will be responsible for building, scaling, and maintaining the web application frontend, backend APIs, and associated microservices that support our satellite data products and analytics platform.

RESPONSIBILITIES

Design and build modern, responsive web applications using React and Next.js.

Develop scalable APIs and services using Python (FastAPI).

Build, maintain, and optimize relational databases using PostgreSQL and PostGIS for geospatial data.

Implement REST APIs and FAST APIs and integrate frontend and backend systems with a focus on performance, security, and scalability.

Deploy microservices and full-stack applications on AWS using best DevOps practices.

Write clean, testable, and maintainable code across the stack.

Containerize applications using Docker and orchestrate services with Kubernetes (or ECS).

Collaborate with product and design teams to define and deliver high-impact features.

Participate in code reviews, sprint planning, and daily standups using GitHub and Jira.

Write clear documentation and contribute to team knowledge sharing.

COMPLEMENTARY SKILLS (Good to have)

Experience with authentication and authorization systems (OAuth2, JWT, AWS Cognito).

Familiarity with CI / CD pipelines using GitHub Actions, GitLab, or similar.

Experience with serverless frameworks or AWS Lambda (nice to have).

Familiarity with modern monitoring and logging tools (e.g., Prometheus, Grafana, Sentry).

Strong understanding of cloud-native architectures and infrastructure as code (e.g., Terraform, CDK).

Exposure to working with satellite or remote sensing datasets (bonus).

Passion for space, autonomy, or geospatial intelligence.

Networking & Protocols : Knowledge of embedded networking (TCP / IP, UDP, MQTT, gRPC), especially for low-bandwidth or intermittent links.

Scripting & Automation : Bash, Python, and Ansible (good to have) for automating builds, deployments, and system monitoring.

SUCCESS METRICS

On-time delivery of reliable, scalable frontend and backend services.

API uptime, latency, and performance KPIs met consistently.

Smooth deployment cycles with containerized builds.

Positive feedback from internal and external users on system usability and functionality.

REQUIREMENTS

Bachelor’s / Master’s degree in Computer Science, Software Engineering, or related fields.

2–4 years of full-stack development experience in production-grade applications.

Proficiency in :

• React and Next.js (frontend)
• Python (RestAPI / FastAPI)
• PostgreSQL and PostGIS

Experience building and consuming REST and FAST APIs.

Hands-on experience with AWS (EC2, RDS, S3, IAM, CloudWatch, etc.).

Proficiency in GitHub, Docker, and working in agile development environments.

Bonus : Familiarity with Kubernetes and infrastructure automation tools.

COMPENSATION

Competitive

EQUAL OPPORTUNITY EMPLOYMENT INFORMATION

Individuals seeking employment at Little Place Labs are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.