About the role
Location: Gurgaon (WFO, 5 Days)**Department: Technology / Product EngineeringReporting To: CMO / CDOEmployment Type: Full-Time, PermanentExperience: 3+ Years
Company ProfileKen Research is a global strategy consulting and market intelligence firm supporting enterprises, financial institutions, investors, and government bodies across India, Southeast Asia, the Middle East, and global markets.Our engineering and digital transformation teams build scalable platforms that power:
- Research & consulting automation
- Expert network workflows
- Data pipelines & intelligence systems
- AI-enabled tools for insight generation
- Customer portals & internal delivery productivity solutions
Key Responsibilities1. Backend Engineering & Architecture
- Architect, build, and optimize backend systems using Python, Django, DRF
- Develop scalable microservices and REST APIs with secure, modular design
- Manage production deployments using Gunicorn, Nginx, Docker, Linux
- Build background workers for asynchronous tasks (Celery/RQ/SQS)
- Maintain clean, testable, high-performance backend code
- Design & optimize relational databases (PostgreSQL/MySQL)
- Implement caching (Redis), indexing, and query optimization
- Integrate and maintain Elasticsearch for scalable search
- Improve system performance, concurrency handling, and reliability
- Build secure APIs for internal and external integrations
- Implement authentication, RBAC, rate-limiting, throttling
- Integrate AI/LLM services for automation and insight workflows (preferred)
- Build backend layers for portals, dashboards, workflows, and internal tools
- Set up and manage CI/CD pipelines (GitHub Actions / Jenkins / GitLab)
- Ensure automated deployments, rollback mechanisms, and environment stability
- Implement logging, monitoring, and error tracking (Sentry/ELK Stack)
- Support scalable infrastructure and uptime improvements
- Work directly with CMO/CDO on product vision, system architecture, and release planning
- Collaborate with product, frontend, DevOps, analytics, and LLM teams
- Review code, enforce engineering guidelines, maintain documentation
- Mentor junior backend developers and build internal engineering capability
- Operate with complete ownership from planning → development → deployment
- Elasticsearch advanced features (analyzers, scoring, boosting)
- LLM/AI integrations: OpenAI, Gemini, Claude
- Embeddings, vector databases (Pinecone, Weaviate, Chroma)
- Event-driven systems, automation, workflow orchestration
- Cloud services (AWS/GCP/Azure)
- Kubernetes familiarity
- Bachelor’s/Master’s degree in Computer Science, Engineering, or related technical field
- 3+ years hands-on backend engineering
- Deep experience with Python, Django, DRF
- Experience with CI/CD, Elasticsearch, Docker, Linux, Redis
- Prior experience deploying production systems
- Django, DRF, Python
- PostgreSQL/MySQL
- Elasticsearch
- Redis, Celery/RQ
- CI/CD pipelines
- Git/GitHub, Docker, Linux
- API design & microservices architecture
- System debugging & performance optimization
- High accountability and ownership
- Startup mindset: speed, autonomy, clarity
- Strong communication and cross-team collaboration
- Ability to break down complex problems into actionable development tasks
- Attention to detail and execution discipline
- API uptime, stability, and response-time improvements
- Reduction in production issues & bug counts
- Measurable improvements in backend performance
- On-time delivery of backend modules
- Zero-regression CI/CD releases
- Successful integration of Elasticsearch & LLM workflows
- Scalability enhancements
- Infrastructure reliability & monitoring improvements