What You'll Do:
Design and develop platform capabilities for scalable data products tailored to enterprise customers.
Collaborate with Product Managers, Software Engineers, and DevOps Engineers to gather requirements, create systems, feature design documentation, and implement solutions across diverse environments.
Write Java-based back-end code, leveraging Spark, various cloud services, and relational databases.
Partner with the production team to define solutions, monitor services, troubleshoot issues, and identify cost optimization opportunities.
Mentor and guide team engineers, providing support in their daily tasks and development.
Build and use monitoring infrastructure to track services, troubleshoot problems and optimize performance, throughput and costs.
Address privacy challenges to ensure the protection and confidentiality of consumer and patient data.
Requirements:
Bachelor's degree in Computer Science or equivalent.
8+ years of experience with server side Java programming and with big data processing.
4+ years of experience with one or more cloud platforms (AWS, Azure, GCP), including experience with platform capabilities (e.g. storage, compute, queuing and orchestration) and in configuring security and networking .
Proficient in CI/CD pipelines and DevOps tools (e.g., Jenkins, GitLab CI, Ansible, Terraform, k8s), with the ability to modify and adapt existing resources as required.
Skilled in system architecture and code design.
Strong analytical and troubleshooting skills.
Get things done fast and with high quality.
Eager to learn and fast learner with a strong sense of ownership.
Proficient English skills.
Nice to Have:
Experience with Apache Spark framework.
