About the Company
A growing technology and talent solutions organization focused on helping businesses build high-performance engineering teams and scale their technology operations. The organization works across AI-led solutions, engineering hiring, GCC setup, Cloud & DevOps, AI/ML, Backend, Full-Stack, Embedded & IoT, and Data technologies.
Senior Full Stack Engineer
Experience:
Job Description
Senior Full Stack Engineer
Candidates with experience in product-based companies and exposure to Industrial Analytics, IoT, Industrial AI, Manufacturing Analytics, or Enterprise SaaS platforms will be preferred.
Key Responsibilities
- Design, develop, test, and maintain end-to-end product features across frontend, backend, and data layers.
- Build scalable backend services, REST APIs, background workers, and third-party integrations.
- Develop responsive, user-friendly interfaces using React and TypeScript.
- Design microservices, distributed systems, asynchronous workflows, and event-driven architectures.
- Work with relational and NoSQL databases to build efficient and reliable data access patterns.
- Implement automated testing, CI/CD pipelines, monitoring, logging, and production observability.
- Troubleshoot production issues, improve performance, and ensure system reliability.
- Collaborate with product, design, and engineering teams on technical decisions and feature delivery.
- Participate in code reviews, technical design discussions, and mentoring junior engineers.
Mandatory Skills
- 7+ years of professional software engineering experience.
- Strong backend development experience in
Python
- Hands-on production experience with
React and TypeScript
. - Experience building and operating production APIs, services, background jobs, and integrations.
- Strong understanding of microservices, distributed systems, queues, retries, idempotency, and failure handling.
- Experience with relational or NoSQL databases.
- Experience with automated testing, cloud infrastructure, containers, CI/CD, and production monitoring.
- Proven ownership of features from design and development through deployment and production support.
- Strong communication, problem-solving, and technical decision-making skills.
- Experience working extensively in product-based companies.
- Bachelor's degree in Computer Science, Electronics, Electrical Engineering, or a related discipline from a Tier 1 institution.
Good-to-Have Skills
- Experience with Go, Python, Node.js, MongoDB, Kafka, NSQ, or similar technologies.
- Cloud experience with AWS, Azure, or GCP.
- Experience with event-driven systems, distributed tracing, incident management, and service-level objectives.
- Exposure to Industrial Analytics, IoT, Industrial AI, Digital Twins, Manufacturing Analytics, Predictive Maintenance, Anomaly Detection, or Sensor/Time-Series Analytics.
- Experience building enterprise SaaS or data-intensive applications.
- Exposure to production AI/GenAI integrations.
- Knowledge of authentication, authorization, auditability, and secure service-to-service communication.
- Experience with frontend architecture, design systems, accessibility, and data-heavy interfaces.
Interview Process
L1 Technical Screening:
1.5-hour interview, including a frontend coding round.L2 Hiring Manager Interview:
1.5-hour interview, including a backend coding round. Face-to-face interview is mandatory.
Preferred Availability:
Interested candidates who meet the above criteria can apply with their updated resumes.
