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Join us at GE Vernova Grid Software to be part of the team leading the digital transformation of the energy market. As the world’s energy sector moves away from fossil fuels toward renewable energy sources, industrial companies are challenged with addressing this transition in transformative ways. Digitization will be key to making power-generating assets more efficient and the electric grid more secure and resilient. Our Geospatial products play a critical role in this transformation by supporting the design, modelling and maintenance of electric, gas and telecommunication networks. For more information on our strategy, check out: GridOS Overview. You will be a part of our Grid Software Engineering team, an Agile organization with a flexible working environment, where we are always looking to innovate our products and the processes and technologies we use. Our current focus is on leveraging our long history of Geospatial experience and expertise building client-server products, and evolving those products and tech stacks to modern cloud-based mapping and analytics micro-services. We are seeking to hire people who are passionate about technology, enjoy solving challenging problems and value the positive impact it makes to our customers. We are looking to grow our current team to meet these customer needs and will use your technical expertise and problem-solving abilities to innovate complex solutions. As a Software Engineer with a focus on building a backend data product, you will work closely with your product development peers in fast-paced Agile development teams building efficient APIs using the latest software development technologies and infrastructure.
Job Responsibility:
Design, develop, and maintain backend systems and services using Java, Spring Boot, and PostgreSQL within a microservices architecture to deliver cloud-based geospatial enterprise products
Design RESTful and GraphQL APIs to build scalable high-performance services
Optimize database queries and ensure data integrity and consistency in PostgreSQL
Develop geospatial data and queries using PostGIS in PostgreSQL
Build scalable and highly available distributed systems
Engage in technical discussions, participate in technical designs and present technical ideas through white boarding (or online equivalent)
Evaluate technology options to meet business needs and make appropriate trade-offs
Maintain code quality through best practices, unit testing and code quality automation
Understand the whole product, its modules and the interrelationships between them while being an expert in the assigned component or module
Be an expert in assessing application performance and optimizing/improving it through design and best coding practices
Be an expert in core data structures as well as algorithms and have the ability to implement them using language of choice
Use excellent communication skills to work collaboratively and effectively with global teams in an Agile setting
Write clear, structured documentation for designs, ensuring developers and stakeholders can easily understand and maintain the codebase, along with product documentation to support end user integration
Evangelise how our technology solves customer problems from a technology and business perspective
Requirements:
Bachelor’s Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Mathematics)
Strong professional experience
Strong experience in using back-end technologies such as Java, Spring Boot, PostgreSQL, GraphQL, Kafka, MinIO, and Infinispan
Strong experience with PostgreSQL, including performance optimization, query tuning, and schema design in a microservice environment
Familiarity with PostGIS for working with geospatial data in PostgreSQL
Experience building distributed systems including on security, analytics, throttling, caching, and logging
Experience designing and building performant RESTful or GraphQL APIs which serve large volumes of data
Experience designing and developing scalable enterprise software services and components using microservices, with a focus on handling large data volumes including both relational and NoSQL databases
Familiarity with geospatial data ingestion and management at scale (or similar connected network paradigm)
Experience using server-side monitoring and observability technologies such as Grafana, Kibana, Kiali, and Jaeger
Experience in containerization and orchestration using Docker, Helm and Kubernetes
Experience with Security frameworks (e.g., JWT, OATH2)
Strong knowledge of Object-Oriented Analysis and Design, Software Design Patterns and Java coding principles
Experience in API documentation, for example using Swagger with REST API and GraphQL schema documentation