Full Stack Engineer Full Time

The Software Engineer will be responsible for developing applications & supporting them that are aligned to the best practices and standards set by the Software Engineering chapter.

Accountabilities

Provide Software Engineering delivery and support capabilities and guidance and technical assistance to the customers i.e. guide teams.
•    Medium to Large complex scale application development projects/programs
•    Expert Software Engineering / programming skills.
•    Develop applications that are aligned to best practices and standards, SDLC Frameworks.
•    Support CoP activities to modernise, grow and mature our SE capabilities.
•    Perform spot peer code reviews, providing feedback and recommendations to continuously improve the quality of the team
•    Contribute to the low-level architecture/technical design aligned to the high-level solution and business requirements
•    Work within the agile development team to analyse and decompose stories into tasks for simpler implementation
•    Proactively identify new frameworks/tools/processes to enhance the efficiency of the development team
•    Responsible for the end-to-end quality of your own deliverables
•    Communicate clearly and effectively with team members throughout all the implementation lifecycle

Education & Experience

•    Degree in a relevant field such as Computer Science, Computer Engineering or Software Engineering.
•    Knowledge/skills: – Design & Develop software in an enterprise environment.
•    Solid understanding of Testing concepts such as unit testing, functional testing and test automation.
•    Should have 5-8 years of experience on the below listed skill category.
– Designing, Code and Maintain medium to large applications/Modules.
– Strong Agile Software Development Skills – Strong Systems Analytical and Technical Design skills
– Experience in working with a set of technologies as listed below:
    Web Technologies – Angular, Angular.JS, React.JS, Node.JS
    Back End Technologies – Java8+, Spring, Spring Boot, Spring Boot Webflux, Restful API, Microservices, Design Patterns
    Data Base Technologies – Relational databases: Oracle, SQL Server, Postgres; NoSQL databases: MongoDB, Elastic Search, Cassandra
    Cloud Technologies – Amazon Web Services (AWS), Azure, Google Cloud
    Tools –
– DevOps: GIT, Docker, OpenShift, Kubernetes, Jenkins
– Build: Maven, Ant, Gradle
– Quality: SonarQube