Senior Software Engineer Jobs

About The Position

Requirements

• Master’s degree in Computer science, Computer Information Systems, Information Technology
• 2 years of experience in the job offered or a engineering-related occupation
• GraphQL Schema Design & API Contract Definition
• Event Driven Architecture using Kafka or AWS Kinesis
• OAuth2 / JWT based Authentication with RBAC
• Operationalize the Machine Learning Models (TensorFlow, PyTorch, Scikit-learn)
• AWS Serverless Architecture (Lambda, API Gateway, IAM)
• Infrastructure as Code at Scale (Terraform)
• Kubernetes based Production Orchestration (EKS)
• Monitoring for Distributed Systems (Dynatrace, Kibana, CloudWatch)
• Modernization to Cloud Native Microservices (PowerBuilder to Microservices)
• Application Development (Java + Node.js, React+ Angula

Responsibilities

• Develop, code, configure and test software systems and solutions to meet defined digital product specifications and direction
• Design and build scalable microservices and APIs to support enterprise-scale digital platforms
• Develop modern frontend applications ensuring responsive and accessible user experiences
• Architect and optimize cloud-native platforms, deploy containerized workloads, and provision infrastructure using infrastructure-as-code methodologies
• Design and optimize data storage solutions using relational and NoSQL databases to support application and analytics needs
• Develop real-time and batch data pipelines for enterprise data processing
• Build, train, and deploy machine learning models to support prediction and optimization use cases
• Operationalize machine learning models as scalable APIs or batch inference services
• Implement and maintain CI/CD pipelines and ensure observability across distributed systems
• Apply secure coding practices, lead system design discussions, and define API contracts
• Develop reusable tools and libraries to enhance engineering productivity across teams
• Modernize legacy applications into cloud-native architectures
• Contribute to enterprise-wide analytics and machine learning platforms that enable data-driven decision-making at scale
• Stay current with industry trends and recommend relevant technologies in the areas of software engineering, cloud computing, machine learning, and emerging technologies
• Communicate effectively with cross-functional teams, building trust and strong relationships across the organization