Java​/Python Engineer

Responsibilities

Provide thought leadership, engineering expertise and direction to the engineering teams; be versatile and be able to collaborate with business stakeholders, product teams and cross‑functional technology groups to drive continuous delivery. Drive user story analysis and elaboration, design and develop software applications, and test and build automation tools.

Own all technical aspects of software development (architecture, design, and development of systems) for assigned applications. Perform hands‑on software development, writing code, API specs, doing proof of concepts, conducting code reviews, and testing in ongoing sprints. Drive consistent development practices – tools and common components. Develop deep understanding of tie‑ins with other systems and platforms within the supported domains. Work with technical product managers contributing to blueprints and assisting with annual planning of feature sets.

Identify opportunities for adopting new technology to solve existing needs and predicting future challenges. Effectively communicate to internal and external business partners on solution design.

Strong analytical & strategic thinking skills. Ability to interpret technical /business objectives and challenges. Porting/Software Configuration. Agile Methodologies. Software development/testing. Object oriented analysis and design across multiple platforms. Designing High Availability applications. Preferred:
Product Engineering Knowledge.

Bachelor's Degree in Computer Science, Computer Science Engineering, or related field required; advanced degree is preferred.

8+ years of commercial software development experience. Proficiency with distributed/multi‑tier systems and application development, including excellent programming skills in languages such as Java and Python. Hands‑on experience with Spring Boot, Micro‑services, Kafka, Relational and/or No

SQL databases. Experience in developing, hosting solutions on Google Cloud Platform (Google Cloud Storage, Big Query, Vertex AI) and leveraging GCP services for specific feature implementations. Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various tools in the CI/CD pipeline. Experience with automated release management using Maven, Salt, Git, Jenkins. Experience in Architecture design and modeling should possess strong skills in designing and modeling complex systems and architectures.

Good understanding of web technologies (HTTP, Apache) and familiarity with Unix/Linux. Good understanding of data structures, algorithms, and design patterns. Experience on the Python would be a plus. Great written communication and documentation abilities. Looks proactively beyond the obvious for continuous improvement opportunities. Knowledge & experience of Contact center ecosystem/Genesys Framework and Architecture, familiarity with the Genesys ecosystem would be preferred.

Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential. Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non‑technical perspectives alike.

Experience building and integrating AI/ML solutions into production systems. Familiarity with machine learning frameworks and libraries such as Tensor Flow, PyTorch. Hands‑on experience with Generative AI technologies (e.g., LLMs), prompt engineering, and AI‑powered application development. Experience leveraging platforms such as Vertex AI for model development, deployment, and monitoring. Awareness of responsible AI practices, including model governance, bias mitigation, and explainability.

• Java
• API
• Python
• Kafka
• No
  
  SQL
• RDBMS
• Spring Boot
• Vert.
  
  X
• GCP
• CI/CD
• Maven
• Jenkins
• AI

• Experience 8+ Years
• Skills:
  
  Java, Microservices, Kafka, GCP Service Offerings, Release Management(Maven/Git)