Developer

Overview Python Senior Developer with strong AWS cloud expertise to design, develop, and support scalable, cloud-native applications, APIs, and data solutions. This role combines deep Python development skills with hands-on experience building distributed systems on AWS. Ownership of the full software lifecycle—from solution design and implementation to production support and operational excellence—is required. Responsibilities Python Development & API Engineering Design, develop, and maintain Python-based backend applications, microservices, and APIs. Build scalable RESTful APIs and integrations supporting enterprise applications and data platforms. Develop reusable components, libraries, and automation frameworks following engineering best practices. Implement secure API authentication, authorization, rate limiting, and monitoring capabilities. Data Engineering & Processing Build and maintain data ingestion, transformation, and processing pipelines. Develop solutions for integrating data across multiple internal and external systems. Optimize data access patterns, database interactions, and application performance. Ensure data quality, validation, observability, and operational reliability. AWS Cloud Engineering Design and implement cloud-native solutions using AWS services such as Lambda, ECS, EKS, API Gateway, S3, DynamoDB, RDS, SQS, SNS, EventBridge, CloudWatch, and Step Functions. Develop highly available, fault-tolerant, and scalable applications leveraging AWS best practices. Implement infrastructure automation, deployment pipelines, monitoring, and operational controls. Collaborate with cloud, security, and platform teams to ensure compliance, governance, and cost optimization. Production Support & Reliability Support business-critical production systems and APIs in a high-availability environment. Perform incident triage, root cause analysis, and issue remediation. Analyze logs, metrics, and system behavior to identify performance bottlenecks and reliability risks. Drive continuous improvements in resiliency, observability, scalability, and operational efficiency. AI-Assisted Software Development Leverage AI-powered development tools to accelerate development and improve code quality. Utilize AI for code generation, unit test creation, documentation, troubleshooting, code reviews, and solution prototyping. Validate AI-generated outputs to ensure alignment with security, architectural, and engineering standards. Promote responsible adoption of AI-assisted development practices within the engineering team. Technical Leadership Mentor junior developers and contribute to engineering standards and best practices. Participate in architecture reviews, technical design discussions, and code reviews. Partner with product, business, architecture, and operations teams to deliver high-quality solutions. Communicate complex technical concepts effectively to both technical and non-technical stakeholders. Required Skills 8+ years of hands-on Python development experience. Strong experience building APIs, microservices, and distributed systems. Solid experience designing and implementing solutions on AWS. Experience with cloud-native architectures, event-driven systems, and enterprise integrations. Strong understanding of system design, scalability, reliability, and performance optimization. Experience supporting production systems in large-scale enterprise environments. Proficiency with SQL and NoSQL databases. Experience with CI/CD, monitoring, logging, and observability practices. Preferred Qualifications Experience with FastAPI, Flask, or Django. Experience with Docker, Kubernetes, ECS, or EKS. Experience with AWS serverless and event-driven architectures. Familiarity with Infrastructure as Code (Terraform, CloudFormation, CDK). Experience in financial services, insurance, or other regulated enterprise environments. Prior experience as a Senior Engineer, Technical Lead, or Solution Designer. Salary Range: $85,000-$125,000 per year #J-18808-Ljbffr Tata Consultancy Services