Software Development Engineer

How You’ll Help Us Keep Climbing (Overview & Key Responsibilities) Software Development Engineers build code by using core agile practices such as “keep it simple,” test-driven development (TDD), continuous integration, polyglot programming, and microservice design. A SDE focuses on developing and implementing modernized specialized business applications, deploying to development, test, staging, and production.

Responsibilities Include, But Are Not Limited To

• Developing, Designing and demonstrating new features and components of back-end to users to ensure compliance with requirements
• Assisting in the design, implementation and optimization of related approaches, tools and workflows.
• Collaborate with the technical teams, business teams, and product managers to ensure that the code that is developed meets their vision .
• Develop and integrate AI-enabled capabilities leveraging approved enterprise AI services and APIs.
• Contribute to AI-powered application features such as intelligent search, conversational interfaces, recommendation engines, and workflow automation.
• Follow Responsible AI principles to ensure fairness, transparency, privacy, explainability, and accountability in AI-enabled solutions.
• Develop the solutions to meet functional and technical requirements .
• Align to Security/Compliance frameworks and controls requirements.
• Own quality posture. Write automated tests, ideally before writing code .
• Write well designed, non-complex, testable, efficient code.
• Develop Continuous Integration & Continuous Deployment pipelines and automated deployment scripts .
• Configure services, such as databases and monitoring .
• Implement Service Reliability Engineering .
• Fix problems from the development phase through the production phase, which requires being on call for production support .

What You Need To Succeed (Minimum Qualifications)

• Bachelor’s degree in computer science, Information Systems or related technical field is preferred.
• Hands-on experience on Software Development in Java, Microservices, Rest-Apis, Monitoring, AWS, AI , Relational & NoSql Databases.
• Work with frameworks such as Spring Boot, Quarkus, Hibernate.
• Understanding of Generative AI concepts, Large Language Models (LLMs), embeddings, vector databases, and Retrieval Augmented Generation (RAG) patterns.
• Experience integrating AI capabilities into enterprise applications using AI APIs, SDKs, or cloud-based AI services.
• Good with prompt engineering techniques and AI-assisted software development tools.
• Knowledge of AI agent concepts, AI orchestration frameworks, and intelligent workflow automation.
• Understanding of ontology, metadata, semantic models, knowledge graphs, or enterprise knowledge management concepts.
• Understanding of Responsible AI principles including fairness, transparency, explainability, privacy, and accountability.
• Knowledge of AI security risks including prompt injection, data leakage, adversarial inputs, model misuse, and secure AI application development practices.
• Ability to implement AI guardrails, content filtering, and monitoring controls within AI-enabled solutions.
• Familiarity with AWS AI/ML services such as Amazon SageMaker, Bedrock, and AgentCore.
• Understanding of LLM-based solutions is highly desirable.
• Good judgment and problem-solving skills with the ability to resolve issues calmly and effectively.
• Expert in Functional Programming approaches, mostly in Java 21.
• Experience working with containerization technologies.
• In-depth working knowledge of Lambda, EC2, S3, and container services etc
• Design and implement microservices-based architecture.
• Develop REST APIs and document them using Swagger/OpenAPI.
• Build and deploy serverless and containerized microservices in cloud environments.
• Monitor and troubleshoot applications using CloudWatch, Sumo Logic, Dynatrace
• Knowledge of Authentication and Authorization protocols like oAuth2.0 and OpenID Connect etc.
• Excellent judgment and problem-solving skills; individuals should be able to resolve problems in a calm and quick manner and display a high degree of initiative and drive.
• Professional experience working with Agile Methodologies is required.
• Experience working with DevOps principles, practices and tools in an enterprise technology environment is required.
• Experience of engineering software within an Amazon Web Services (AWS) cloud infrastructure or other prominent enterprise clo…