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Job Description

Title - Lead Snowflake Developer

Location - Chennai/Hyderabad/Bangalore

Role - Fulltime

Notice Period/Availability - Immediate

Years of Experience - 6+

Job Description:

• Overall 6 years of experience in IT/Software development
• Minimum 3 years of experience working with Snowflake.
• Designing, implementing and testing cloud computing solutions using Snowflake technology.
• Creating, monitoring and optimization of ETL/ELT processes.
• Migrating solutions from on-premises to public cloud platforms.
• Experience in SQL language and data warehousing concepts.
• Experience in Cloud technologies: AWS, Azure or GCP.

JOB DESCRIPTION-

Exp - 5 to 8yrs 

Job Summary

We are looking for a highly skilled and motivated Senior Software Engineer with strong expertise in Java (primary) and working knowledge of Python. The ideal candidate will be responsible for designing, developing, and maintaining scalable backend systems, while contributing to high-quality software delivery across the full development lifecycle.

Key Responsibilities

• Design, develop, and maintain robust, scalable, and high-performance applications using Java (Spring Boot / Microservices architecture)
• Develop reusable components and APIs with a focus on performance, security, and scalability
• Leverage Python for automation, scripting, data processing, or ML-related use cases (as applicable)
• Collaborate with cross-functional teams including Product, QA, DevOps, and Architecture
• Participate in system design discussions and contribute to technical decision-making
• Write clean, efficient, and well-documented code following coding standards and best practices
• Optimize applications for maximum speed and scalability
• Troubleshoot and debug complex production issues
• Contribute to CI/CD pipelines and DevOps practices
• Mentor junior engineers and perform code reviews

Required Skills & Qualifications

Technical Skills

• Strong hands-on experience in Core Java, Spring Boot, and Microservices architecture
• Solid understanding of RESTful APIs, multithreading, concurrency, and JVM performance tuning
• Practical experience with Python (automation, scripting, or backend development)
• Experience with databases: SQL (MySQL, PostgreSQL) and/or NoSQL (MongoDB, Cassandra)
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Strong knowledge of data structures, algorithms, and system design
• Experience with message brokers (Kafka, RabbitMQ)
• Exposure to containerization & orchestration (Docker, Kubernetes)
• Experience with version control systems (Git)

Preferred Skills

• Experience in distributed systems and event-driven architectures
• Knowledge of Python frameworks (Flask, FastAPI, Django)
• Exposure to big data technologies (Spark, Hadoop) or ML workflows
• Experience with CI/CD tools (Jenkins, GitHub Actions, etc.)
• Familiarity with observability tools (Prometheus, Grafana, ELK stack)

Soft Skills

• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities
• Ability to work in a fast-paced agile environment
• Proactive ownership and accountability

Role overview

1) Overall 5 to 7 years of experience. Node.js experience is must.

2) At least 3+ years of experience or couple of large-scale products delivered on microservices.

3) Strong design skills on microservices and AWS platform infrastructure.

4) Excellent programming skill in Python, Node.js and Java.

5) Hands on development in rest API’s.

6) Good understanding of nuances of distributed systems, scalability, and availability.

Who we are: My AI Client is building the foundational platform for the "agentic economy," moving beyond simple chatbots to create an ecosystem for autonomous AI agents and they aim to provide tools for developers to launch, manage, and monetize AI agents as "digital coworkers."

The Challenge

The current AI stack is fragmented, leading to issues with multimodal data, silent webhook failures, unpredictable token usage, and nascent agent-to-agent collaboration. My AI Client is building a unified, robust backend to resolve these issues for the developer community.

Your Mission

As a foundational member of the backend team, you will architect core systems, focusing on:

• Agent Nervous System: Designing agent-to-agent messaging, lifecycle management, and high-concurrency, low-latency communication.
• Multimodal Chaos Taming: Engineering systems to process and understand real-time images, audio, video, and text.
• Bulletproof Systems: Developing secure, observable webhook systems with robust billing, metering, and real-time payment pipelines.

What You'll Bring

• My AI Client seeks an experienced engineer comfortable with complex systems and ambiguity.

Core Experience:

● Typically 3 to 5 years of experience in backend engineering roles.

● Expertise in Python, especially with async frameworks like FastAPI.

● Strong command of Docker and cloud deployment (AWS, Cloud Run, or similar).

● Proven experience designing and building microservice or agent-based architectures.

Specialized Experience (Ideal):

• Real-Time Systems: Experience with real-time media transmission like WebRTC, WebSockets and ways to process them.
• Scalable Systems: Experience in building scalable, fault-tolerant systems with a strong understanding of observability, monitoring, and alerting best practices.
• Reliable Webhooks: Knowledge of scalable webhook infrastructure with retry logic, backoffs, and security.
• Data Processing: Experience with multimodal data (e.g., OCR, audio transcription, video chunking with FFmpeg/OpenCV).
• Payments & Metering: Familiarity with usage-based billing systems or token-based ledgers.

Your Impact

• The systems designed by this role will form the foundation for:
• Thousands of AI agents for major partners across chat, video, and APIs.
• A new creator economy enabling developers to earn revenue through agents.
• The overall speed, security, and scalability of my client’s AI platform.

Why Join Us?

• Opportunity to solve hard problems with clean, scalable code.
• Small, fast-paced team with high ownership and zero micromanagement.
• Belief in platform engineering as a craft and care for developer experience.
• Conviction that AI agents are the future, and a desire to build their powering platform.
• Dynamic, collaborative in-office work environment in Bengaluru in a Hybrid setup (weekly 2 days from office)
• Meaningful equity in a growing, well-backed company.
• Direct work with founders and engineers from top AI companies.
• A real voice in architectural and product decisions.
• Opportunity to solve cutting-edge problems with no legacy code.

Ready to Build the Future?

My AI Client is building the core platform for the next software paradigm. Interested candidates are encouraged to apply with their GitHub, resume, or anything that showcases their thinking.

Role overview

• Overall 5 to 7 years of experience. Node.js experience is must.
• At least 3+ years of experience or couple of large-scale products delivered on microservices.
• Strong design skills on microservices and AWS platform infrastructure.
• Excellent programming skill in Python, Node.js and Java.
• Hands on development in rest API’s.
• Good understanding of nuances of distributed systems, scalability, and availability.

What would you do here

• To Work as a Backend Developer in developing Cloud Web Applications
• To be part of the team working on various types of web applications related to Mortgage Finance.
• Experience in solving a real-world problem of Implementing, Designing and helping develop a new Enterprise-class Product from ground-up.
• You have expertise in the AWS Cloud Infrastructure and Micro-services architecture around the AWS Service stack like Lambdas, SQS, SNS, MySQL Databases along with Dockers and containerized solutions/applications.
• Experienced in Relational and No-SQL databases and scalable design.
• Experience in solving challenging problems by developing elegant, maintainable code.
• Delivered rapid iterations of software based on user feedback and metrics.
• Help the team make key decisions on our product and technology direction.
• You actively contribute to the adoption of frameworks, standards, and new technologies.

Job Summary:

We are looking for a skilled and motivated Python AWS Engineer to join our team. The ideal candidate will have strong experience in backend development using Python, cloud infrastructure on AWS, and building serverless or microservices-based architectures. You will work closely with cross-functional teams to design, develop, deploy, and maintain scalable and secure applications in the cloud.

Key Responsibilities:

• Develop and maintain backend applications using Python and frameworks like Django or Flask
• Design and implement serverless solutions using AWS Lambda, API Gateway, and other AWS services
• Develop data processing pipelines using services such as AWS Glue, Step Functions, S3, DynamoDB, and RDS
• Write clean, efficient, and testable code following best practices
• Implement CI/CD pipelines using tools like CodePipeline, GitHub Actions, or Jenkins
• Monitor and optimize system performance and troubleshoot production issues
• Collaborate with DevOps and front-end teams to integrate APIs and cloud-native services
• Maintain and improve application security and compliance with industry standards

Required Skills:

• Strong programming skills in Python
• Solid understanding of AWS cloud services (Lambda, S3, EC2, DynamoDB, RDS, IAM, API Gateway, CloudWatch, etc.)
• Experience with infrastructure as code (e.g., CloudFormation, Terraform, or AWS CDK)
• Good understanding of RESTful API design and microservices architecture
• Hands-on experience with CI/CD, Git, and version control systems
• Familiarity with containerization (Docker, ECS, or EKS) is a plus
• Strong problem-solving and communication skills

Preferred Qualifications:

• Experience with PySpark, Pandas, or data engineering tools
• Working knowledge of Django, Flask, or other Python frameworks
• AWS Certification (e.g., AWS Certified Developer – Associate) is a plus

Educational Qualification:

• Bachelor's or Master’s degree in Computer Science, Engineering, or related field

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.