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Staff Engineer, Product Software
Equinix
Global leader in data center and interconnection services, enabling digital transformation.
Design, develop, and operate scalable data platform and product services.
Participate in the design & peer code review process
"Keep Customer at the Center" of everything they do
Work in a Globally Distributed Development team environment with minimal supervision
Develop Microservices & RESTful APIs in line with industry standards
“Foster Belonging” and “Create Clarity Always” for their team and all stakeholders
Participate in continuous grooming in collaboration with the Product Owner
Responsible for Investigating, analyzing, and evaluating new technologies
Exhibit a high curiosity growth mindset and will keep tabs on the latest trends & technologies to drive innovation
Responsible for operating in a DevSecOps environment with quality first attitude
Responsible for delivering solutions that meet business objectives in alignment with architectural principles & guidelines
Responsible for solving and fixing production issues with SLA compliance
Responsible for developing architecture in alignment with product and enterprise architecture principles & guidelines
Work with Product Management and other key stakeholders to develop effective and efficient business solutions
Responsible for hands-on design and development of highly available, scalable, secure, data-intensive, concurrent, globally distributed applications
What you bring
docker/kubernetes
java
spring boot
aws
bachelor's
5+ years
Experience with Docker and Kubernetes.
Expertise in data modeling and relational design using RDBMS and NoSQL such as Redis, MongoDB, Cassandra etc.
Excellent communication, organization, and presentation skills
Experience in building user interfaces using React is highly desirable but not required
Bachelor's or master's degree or equivalent with 5+ years of experience in Computer Science, Software Engineering, or a related field of education
Strong computer programming foundation with knowledge of Data Structures, Concurrency, Algorithms, Design Patterns, and Best Practices
Must have strong skills in enterprise Java technology stack including Spring Boot, JPA/Spring Data, REST APIs, Swagger, maven, Hibernate ORM, JUnit, and stress testing tools such as JMeter/Load Runner
Experience using a public cloud like AWS, Azure, or GCP
Experience using stream processing frameworks like Apache Spark, Flink, Storm
Hands-on experience with Agile-scrum methodology and Test-driven development
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