Data Engineer

We are looking for a Technical Lead - GenAI with a strong foundation in Python, Data Analytics, Data Science or Data Engineering, system design, and practical experience in building and deploying Agentic Generative AI systems. The ideal candidate is passionate about solving complex problems using LLMs, understands the architecture of modern AI agent frameworks like LangChain/LangGraph, and can deliver scalable, cloud-native back-end services with a GenAI focus.

Key Responsibilities :

- Design and implement robust, scalable back-end systems for GenAI agent-based platforms.

- Work closely with AI researchers and front-end teams to integrate LLMs and agentic workflows into production services.

- Develop and maintain services using Python (FastAPI/Django/Flask), with best practices in modularity and performance.

- Leverage and extend frameworks like LangChain, LangGraph, and similar to orchestrate tool-augmented AI agents.

- Design and deploy systems in Azure Cloud, including usage of serverless functions, Kubernetes, and scalable data services.

- Build and maintain event-driven / streaming architectures using Kafka, Event Hubs, or other messaging frameworks.

- Implement inter-service communication using gRPC and REST.

- Contribute to architectural discussions, especially around distributed systems, data flow, and fault tolerance.

Required Skills & Qualifications :

- Strong hands-on back-end development experience in Python along with Data Analytics or Data Science.

- Strong track record on platforms like LeetCode or in real-world algorithmic/system problem-solving.

- Deep knowledge of at least one Python web framework (e.g., FastAPI, Flask, Django).

- Solid understanding of LangChain, LangGraph, or equivalent LLM agent orchestration tools.

- 2+ years of hands-on experience in Generative AI systems and LLM-based platforms.

- Proven experience with system architecture, distributed systems, and microservices.

- Strong familiarity with Any Cloud infrastructure and deployment practices.

- Should know about any Data Engineering or Analytics expertise (Preferred) e.g. Azure Data Factory, Snowflake, Databricks, ETL tools Talend, Informatica or Power BI, Tableau, Data modelling, Datawarehouse development.

Mandatory Criteria :

• Candidate must have Strong hands-on experience with Kubernetes of atleast 2 years in production environments.
• Candidate should have Expertise in at least one public cloud platform [GCP (Preferred), AWS, Azure, or OCI).
• Proficient in backend programming with Python, Java, or Kotlin (at least one is required).
• Candidate should have strong Backend experience.
• Hands-on experience with BigQuery or Snowflake for data analytics and integration.

About the Role

We are looking for a highly skilled and motivated Cloud Backend Engineer with 4–7 years of experience, who has worked extensively on at least one major cloud platform (GCP, AWS, Azure, or OCI). Experience with multiple cloud providers is a strong plus. As a Senior Development Engineer, you will play a key role in designing, building, and scaling backend services and infrastructure on cloud-native platforms.

# Experience with Kubernetes is mandatory.

Key Responsibilities

• Design and develop scalable, reliable backend services and cloud-native applications.
• Build and manage RESTful APIs, microservices, and asynchronous data processing systems.
• Deploy and operate workloads on Kubernetes with best practices in availability, monitoring, and cost-efficiency.
• Implement and manage CI/CD pipelines and infrastructure automation.
• Collaborate with frontend, DevOps, and product teams in an agile environment.
• Ensure high code quality through testing, reviews, and documentation.

Required Skills

• Strong hands-on experience with Kubernetes of atleast 2 years in production environments (mandatory).
• Expertise in at least one public cloud platform [GCP (Preferred), AWS, Azure, or OCI].
• Proficient in backend programming with Python, Java, or Kotlin (at least one is required).
• Solid understanding of distributed systems, microservices, and cloud-native architecture.
• Experience with containerization using Docker and Kubernetes-native deployment workflows.
• Working knowledge of SQL and relational databases.

Preferred Qualifications

• Experience working across multiple cloud platforms.
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
• Exposure to monitoring, logging, and observability stacks (e.g., Prometheus, Grafana, Cloud Monitoring).
• Hands-on experience with BigQuery or Snowflake for data analytics and integration.

Nice to Have

• Knowledge of NoSQL databases or event-driven/message-based architectures.
• Experience with serverless services, managed data pipelines, or data lake platforms.

About the Role-

Thinking big and executing beyond what is expected. The challenges cut across algorithmic problem solving, systems engineering, machine learning and infrastructure at a massive scale.

Reason to Join-

An opportunity for innovators, problem solvers & learners.  Working will be Innovative, empowering, rewarding & fun. Amazing Office, competitive pay along with excellent benefits package.

Requiremets and Responsibilities- (please read carefully before applying)

• The overall experience of 3-6 years in Java/Python Framework and Machine Learning.
• Develop Web Services, REST, XSD, XML technologies, Java, Python, AWS, API.
• Experience on Elastic Search or SOLR or Lucene -Search Engine, Text Mining, Indexing.
• Experience in highly scalable tools like Kafka, Spark, Aerospike, etc.
• Hands on experience in Design, Architecture, Implementation, Performance & Scalability, and Distributed Systems.
• Design, implement, and deploy highly scalable and reliable systems.
• Troubleshoot Solr indexing process and querying engine.
• Bachelors or Masters in Computer Science from Tier 1 Institutions

• Expert in Python. Comfortable with Web frameworks, such as Flask or Django
• Familiarity with Object Relational Mapping Libraries and ability to Integrate with Multiple Data Sources into One System
• Understanding of Limitations of Python and Multi Process Architecture. Understanding of Design Principles of Scalable Application
• Has familiarity with data frameworks in Python - Pandas or
• Good object-oriented design skills and knowledge of design
• Knowledge of key-value stores, caching, search, messaging queues
• Minimum 5 years of experience in the above

Job Role – Technical Lead – Back End

Work Location  - Bengaluru  

Job Description –

Requirements
• 5+ years of experience in product companies
• Experience in software development and coding in multiple languages

• Experience in both front-end and back-end development with mastery in back-
end.

• Excellent knowledge of software and application design and architecture
• Understanding of software quality assurance principles
• Managed at least 4-5 engineers in their experience.
• High quality organisational and leadership skills
• Outstanding communication and presentation abilities

If you think you are one of them then please reply with your interest and we will take your candidature ahead for the next level of evaluation. Below information would be appreciated more:

Current CTC:

Expected CTC:

Notice Period:

Update Resume: please attach