
Senior Software Engineer I
- Hyderabad, Telangana
- Permanent
- Full-time
- Provide end to end solution for the business requirements. Consult with Product Owner, Scrum Master, Subject Master Expert and business users to evaluate business requirements, evaluate existing or proposed systems, and prepare detailed technical design document from which programs will be written
- Walk-thru the technical design document with PO/SM/Agile team members and business users
- Review the details design & develop or modify the existing batch or online modules programs
- Prepare test planning & setup test data. Prepare test automation. Execute test planning based on project requirements
- Ensuring timely deliveries for all assigned tasks
- Participation in Design reviews, Test Case reviews, and Production Support readiness reviews for new releases
- Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc.
- Adhere to all quality requirements
- Be able to work independently
- Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives
- Manage the development and deployment of AI and machine learning solutions
- Stay up-to-date with the latest AI and machine learning technologies and trends
- Analyzes and investigates
- Provides explanations and interpretations within area of expertise
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
- 8+ years of software development experience with 5+ years focused on Java or J2EE software development, including Java, Spring framework, multi-threading, caching techniques, software engineering best practices, and performance optimization of services using memory management, garbage collection, CI or CD systems such as Jenkins, and code management tools like GitHub. Java full stack (API backend heavy)
- 6+ years of professional software development experience on the Java platform
- 3+ years of DevOps and CI/CD: Familiarity with CI or CD pipelines (Jenkins, Git, Artifactory, Fortify Scan, SonarQube), Infrastructure as Code (Terraform, Ansible), and monitoring tools like Prometheus, Grafana, or Datadog
- 3+ years of experience in API and Integrations: Experience designing and developing RESTful APIs and event-driven architectures using Kafka or similar technologies
- 3+ years in performance optimization: Expertise in optimizing high-traffic, real-time payment processing systems for latency and throughput
- Hands-on experience in AI and drive the development of innovative AI and machine learning solutions
- Experience in banking/financial/healthcare domain
- Experience in deploying applications on public cloud infrastructure
- Experience designing and developing data-driven applications using RDMBS (Oracle, PL or SQL) and/or NoSQL datastores
- Experience in AI/ML engineering or related fields
- Solid background in designing RESTful APIs, microservices architecture, and service-oriented architectures
- Expertise in various AI/ML techniques, such as deep learning, natural language processing, computer vision, recommender systems, reinforcement learning, large language models, etc.
- Proficiency in Python, R, or other programming languages for data analysis and AI/ML development
- Proven flexibility to work across a variety of software-related disciplines: solution design, agile development, unit testing and refactoring
- Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concepts and results to technical and non-technical audiences