Senior Engineer, Data Analytics
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Summary
Senior full-stack engineer who builds and ships software products end to day: designing Spring MVC/Spring Boot microservices, developing Angular or React web frontends, containerizing with Docker, assessing integrations, and planning releases while mentoring junior engineers through code reviews. Core stack is Java, Spring Boot, Angular/React, and Docker, with cloud and DevOps exposure as a plus.
- Involve in full-stack software product development life cycle.
- Develop high-quality reusable software modules.
- Customize software product to specific business needs.
- Collaborate cross-functionally with product owner, pre-sales, data scientists, business analysts, and software engineers to translate business requirements into technical specifications.
- Provide mentorship and guidance to junior engineers, fostering knowledge sharing and professional growth within the team.
- Conduct code reviews and uphold best practices in software development, ensuring maintainability and performance optimisation.
- Engage with key stakeholders to understand evolving business needs and deliver solutions that align with organisational goals.
- Assess commercial and open-source products and integration into software products.
- Release planning of software product.
- Developing prototype screens and converting into working software products.
Requirements
- Minimum 5 years of experience in software engineering with a strong focus on full-stack software development.
- Balanced between product and project development experience.
- Minimum 3 years of experience in Spring MVC and Spring Boot micro services frameworks.
- Minimum 2 years of experience in developing web applications using Angular or React technologies.
- Proficiency in programming languages commonly used for software development, such as Java, Angular or React and Docker technologies.
- Strong foundation in object-oriented programming, MVC, REST API Security, access management and containerization concepts.
- Minimum 6 months of experience in using AI tools for coding and software development life cycle.
- Experience with cloud platforms (e.g., AWS, Azure and Google Cloud) is an advantage.
- Strong analytical, problem-solving, and communication skills to interact effectively with diverse teams.
- Ability to manage multiple priorities and deliver high-quality outputs in a dynamic environment.
- Good to have skills such as building of automated DevOps pipelines using Git and Jenkins tools.
- Experience with Kubernetes and ArgoCD is an advantage.
Core Competencies
Demonstrates extensive experience in full-stack software development, with a strong focus on Spring MVC, Spring Boot, and web application frameworks like Angular or React. Proficient in object-oriented programming, REST API Security, and cloud platforms, while also providing mentorship and fostering team collaboration.
Highest-signal resume keywords
- Full-Stack Software Development
- Spring MVC and Spring Boot
- Angular or React Development
- Object-Oriented Programming
- Cloud Platforms (AWS, Azure, Google Cloud)
ATS Optimization Keywords
Hard Skills
- Full-Stack Software Development
- Spring MVC
- Spring Boot
- Angular
- React
- Java
- REST API Security
- Object-Oriented Programming
- Containerization
- AI Tools for Coding
Soft Skills
- Analytical Skills
- Problem-Solving Skills
- Communication Skills
- Mentorship
- Collaboration
Industry Keywords
- Software Development Life Cycle
- Code Reviews
- Best Practices