4+ Serverless Jobs in Chennai | Serverless Job openings in Chennai

Job Overview:

We are seeking a Senior Backend Developer with 5+ years of hands-on experience in Node.js and Python, strong TypeScript knowledge, and advanced skills in AWS cloud services. You will lead backend engineering efforts and provide architectural and client-facing solutions, especially for international clients in the USA, UK, and Australia.

The ideal candidate must be deeply skilled in data structures, object-oriented programming, system design, and authentication standards (OAuth, SAML, etc.). This role also includes team leadership, cloud-native solution architecture, and direct client interaction for translating business requirements into technical deliverables.

Responsibilities:

• Design, build, and maintain scalable backend systems using Node.js (TypeScript) and Python
• Architect and implement cloud-based solutions on AWS and optionally on other cloud providers (GCP/Azure)
• Develop, secure, and integrate APIs (REST, GraphQL, SOAP) and WebSocket services
• Lead the backend development team: code reviews, mentoring, and enforcing engineering best practices
• Work directly with clients from USA, UK, and Australia to gather requirements and present solutions
• Implement authentication and authorization mechanisms (OAuth 2.0, SAML, JWT, custom auth flows)
• Follow design principles and OOP patterns to ensure code scalability and maintainability
• Apply strong understanding of data structures and algorithms to optimize backend performance
• Create and manage infrastructure components such as:
• IAM, EC2, S3, RDS, Lambda, CloudWatch
• SQS, SNS, ElastiCache, Route53, API Gateway
• VPCs, NAT Gateways, Internet Gateways, ALB/NLB
• Use Docker and Kubernetes (EKS preferred) for containerization and orchestration
• Integrate with relational and non-relational databases including MySQL, PostgreSQL, SQL Server, MongoDB, DynamoDB
• Implement search capabilities using Elasticsearch



Required Skills:

Programming & Architecture:

• Strong in Node.js (TypeScript) and Python
• Deep knowledge of data structures, algorithms, and system design
• Expert in object-oriented programming (OOP) and design patterns
• Experience with software architecture and microservices

Authentication & Security:

• Deep understanding of OAuth 2.0, SAML, JWT, API key, and custom authentication mechanisms
• Experience implementing secure, scalable identity & access controls

Cloud Infrastructure (AWS):

• Hands-on with full stack of AWS: IAM, EC2, S3, RDS, Lambda, CloudWatch, SQS, SNS, ElastiCache, VPC, NAT Gateway, ALB/NLB, Route53, API Gateway
• Proficiency with Docker, Kubernetes, and cloud-native CI/CD pipelines

Databases & Search:

• SQL: MySQL, PostgreSQL, SQL Server
• NoSQL: MongoDB, DynamoDB
• Search: Elasticsearch

APIs & Integration:

• REST, GraphQL, SOAP, WebSockets

Soft Skills:

• Excellent English communication (verbal, written, presentation)
• Experience working with international clients (USA, UK, Australia)
• Strong problem-solving and solution architecture skills
• Able to lead a team and deliver client-ready solutions independently

Preferred Qualifications:

• AWS Certified (e.g., Solutions Architect or DevOps Engineer)
• Experience with hybrid or multi-cloud environments
• Exposure to CI/CD tools, monitoring, logging, and performance tuning

What We Offer:

• Global exposure with direct client interaction
• Strong engineering culture with mentorship and learning opportunities
• High-impact projects with modern cloud-native architecture

• Bachelors in Computer Science, Information Systems or equivalent.
• 6 years experience delivering highly available web/mobile applications including 1-3 years as Senior/Lead developer.
• Prior experience in retail domain is a plus.
• 3 years of experience working with distributed teams.
• Deep knowledge of UI Libraries / Frameworks, API (REST), API Management and building scalable and high performance Web APIs.
• Must have experience building websites using Javascript and Java technologies (e.g. Typescript, Spring Boot etc.). Search Engine and Native App development experience is a plus.
• AWS Serverless Cloud native services experience with Lambda functions, SNS, SQS, DynamoDB, API Gateway etc.
• Strong knowledge of Caching frameworks, data structures, algorithms, operating systems, and distributed systems.
• Strong understanding of databases, NoSQL data stores, storage and distributed persistence technologies.
• Strong communication and presentation skills.
• Passionate about enabling next generation experiences.
• Experience with automated testing, deployment pipelines and cloud based infrastructure

• Develop omni-channel digital solutions leveraging serverless and micro services in a cloud based platform to develop backend services.
• Design high/low level solutions, contribute towards architecture and technical roadmap.
• Lead technical implementation/delivery.
• Host/Lead technical discussions.
• Champion software development best practices, test driven development, CI and CD.
• Build cloud native and highly cost efficient solutions.
• Innovate, Unlearn and Disrupt. Research next generation frameworks and technologies.
• Embrace change. 

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.