Задачи:
- Deliver end-to-end solutions using cloud-native microservices architecture, modern technologies, and industry best practices;
- Apply domain modelling techniques to build business products;
- Structure software for understandability, testability, and evolution;
- Build scalable solutions that avoid single points of failure;
- Develop secure code that protects customers and the organization from malicious actors;
- Investigate and fix issues promptly, preventing recurrence;
- Ensure zero-downtime releases for end users;
- Optimize data read and write patterns for business needs;
- Monitor performance and identify and solve problems using appropriate approaches;
- Ensure systems are reliable and easy to operate;
- Continuously update technologies and patterns;
- Support products throughout their lifecycle, including production and incident management;
- Drive adoption and governance of approved AI-assisted engineering practices across teams;
- Establish measurable validation standards for secure coding, peer review, and automated testing;
- Promote reuse of proven patterns and automation within the SDLC/TLM toolchain;
- Apply software development lifecycle toolchain knowledge, including approved AI-assisted development and automation capabilities, to improve automation at scale;
- Coach team members on coding practices, design principles, and implementation patterns;
- Manage stakeholders and prioritize work across multiple work streams;
- Lead the effective use of enterprise-authorized AI-assisted software development tools;
- Set team expectations for validating AI outputs for correctness, performance, and security;
- Coach engineers and leads on compliant responsible AI usage patterns and controls.
Требования:
- Formal training or certification in software engineering concepts;
- Recent hands-on professional experience as a Java back-end software engineer;
- Experience coding in a recent version of Java;
- Experience designing and implementing unit, component, integration, end-to-end, and performance tests;
- Excellent written and verbal communication skills in English;
- Knowledge of cloud technologies, distributed systems, AWS, RESTful APIs, and web technologies;
- Knowledge of messaging frameworks;
- Experience operating, supporting, and securing mission-critical software applications;
- Understanding of different data stores, including relational data stores;
- Demonstrated experience leading the effective use of enterprise-authorized AI-assisted software development tools;
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure input and output handling, resiliency, and security expectations;
- Skilled in Microservices Architecture.
Условия:
Contract engagement.
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