Maintain and enhance backend services for a SaaS platform using Node.js and TypeScript, ensuring performance, scalability, and security. Optimize MongoDB queries, manage AWS infrastructure, implement API security, and conduct testing.
Responsibilities:
- Maintain and enhance the backend services powering the SaaS platform (Node.js/Express/NestJS with TypeScript).
- Ensure uptime, scalability, and performance of APIs handling campaign generation, template storage, and credit-based billing.
- Optimize MongoDB queries, indexes, and caching strategies for high-performance APIs.
- Implement and manage Redis, job queues, and async workflows.
- Monitor and maintain AWS infrastructure: EC2, S3, CloudWatch, Lambda, SES.
- Implement security best practices: API authentication, rate-limiting, GDPR compliance, email data handling.
- Maintain API versioning and documentation (OpenAPI/Swagger).
- Write unit and integration tests to ensure code quality and reliability.
- Debug and resolve complex production issues efficiently.
Required Skills:
- Strong proficiency in Node.js with TypeScript (Express.js or NestJS).
- Experience with MongoDB, schema design, and ORMs (Mongoose, Prisma).
- Experience with Redis (pub/sub, caching) and job queues (BullMQ/RabbitMQ).
- Familiarity with AWS services: EC2, S3, CloudWatch, SES, Lambda.
- Dockerized microservices and CI/CD pipelines (GitHub Actions, or similar).
- Knowledge of authentication & authorization (JWT, OAuth2, role-based access).
- Basic Logging & monitoring experience (Winston, Pino, Prometheus/Grafana).
- Unit & integration testing experience (Jest, Mocha, Vitest).
- Knowledge of email compliance tools (SpamAssassin, DKIM/SPF/DMARC) is a plus.
Experience:
- 3–5 years in backend development.
Prior experience in SaaS applications, high-traffic APIs, or campaign/marketing platforms is preferred.
Similar Jobs
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The VP, Data and Analytics Officer will lead data strategy, analytics, and innovation across Asia, driving impactful insights and business decisions.
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
The role involves managing program conflicts, facilitating communication across programs, process mapping, conducting quality assurance deep dives, and optimizing resource management, ensuring alignment and efficiency in financial transformation projects.
Top Skills:
Azure DevopsClarityMS OfficeTableau
Artificial Intelligence • Edtech • Mobile • Natural Language Processing • Productivity • Software
Lead the engineering team focusing on the data platform's architecture and scaling, ensuring reliability and performance while mentoring engineers and collaborating with cross-functional teams.
Top Skills:
AWSAzureEltETLGCPJavaScriptNode.jsReactSpark
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
