Java/Python Engineer

Shrive Technologies Llc
United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Apache HTTP Server Build Automation BigQuery Unix Code Review Computer Programming Computer Engineering Continuous Delivery
+23 more
Continuous Integration Data Structures Python (Programming Language) Machine Learning Apache Maven NoSQL Commercial Software Release Management Tensorflow Software Engineering Google Cloud Genesys System Availability Large Language Models Prompt Engineering Spring-boot Generative AI Git Information Technology Apache Kafka Web Technologies Software Coding Microservices

Job description

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

Requirements

needs and predicting future challenges.Effectively communicate to internal and external business partners on solution design.Functional SkillsStrong analytical & strategic thinking skillsAbility to interpret technical /business objectives and challenges.Porting/Software ConfigurationAgile MethodologiesSoftware development/ testingObject oriented analysis and design across multiple platforms.Designing High Availability applicationsPreferred:·Product Engineering KnowledgeMinimum QualificationsBachelor’s Degree in Computer Science, Computer Science Engineering, or related field required; advanced degree is preferred.Preferred Qualifications8+ years of commercial software development experienceProficiency with distributed/multi-tier systems and application development, including excellent programming skills in languages such as Java and PythonHands-on experience with Spring Boot, Micro-services, Kafka, Relational and/or NoSQL databases.Experience in developing, hosting solutions on Google Cloud Platform- Google Cloud Storage , Big Query and Vertex AI and leveraging Google Cloud Platform 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, JenkinsExperience 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/LinuxGood understanding of data structures, algorithms, and design patternsExperience on the Python would be a plus.Great written communication and documentation abilitiesLooks 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 preferrable.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.Secondary Skills:Experience building and integrating AI/ML solutions into production systemsFamiliarity with machine learning frameworks and libraries such as TensorFlow, PyTorchHands-on experience with Generative AI technologies (e.g., LLMs), prompt engineering, and AI-powered application developmentExperience leveraging platforms such as Vertex AI for model development, deployment, and monitoringAwareness of responsible AI practices, including model governance, bias mitigation, and explainability

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