Back End Developer

Mexico🕖 3 weeks ago

The Oracle Cloud Infrastructure (OCI)/Cloud Engineering Infrastructure provides you the opportunity to build and operate a suite of massive scale, coordinated cloud services in a broadly distributed, multi-tenant cloud environment. OCI is committed to providing the best in cloud products that meet the needs of our customers who are tackling some of the world’s biggest challenges.We offer outstanding opportunities for inquisitive, hands-on engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure. At every level, our engineers have a significant technical and business impact designing and building innovative new systems to power our customer’s business critical applications.Fusion Application as a Service (FAaaS) is an exciting new team working on at the intersection of infrastructure and applications where we are demonstrating OCI to transform some of the largest SaaS properties in the industry. We are making the existing Oracle's SaaS portfolios, including the multi-billion dollar revenue producing Fusion applications, become first class Oracle cloud citizens.To support the vision we are building a platform that manages end-to-end lifecycle, from provisioning to upgrade to terminate; and provides a self-service cloud experience to the customer for our SaaS product by demonstrating the underlying OCI platform and services.As a Principal Member Technical Staff on the FAaaS team, you will be part of the effort in building distributed, scalable, fault tolerant software systems in support of our business needs and end customer. You will own the entire software lifecycle – development, testing, CI/CD and production operations. You must balance between product feature development and production operational concerns like writing run books, ops automation, structured logging, instrumentation for metrics and events demonstrating a plethora of internal tooling at OCI.From a technology perspective, this is a greenfield development environment with a huge amount of autonomy, leaving us free to build and innovate without being encumbered by legacy products and services.Career Level - IC4

Responsibilities displayed in the job posting

About You:You are an experienced cloud engineer with a proven track record of delivering high-scale, high-impact solutionsYou are passionate about the customer, always going above and beyondYou have excellent communication skills. You can clearly explain complex technical conceptsYou are a disciplined engineer who understands the importance of high standards, never satisfied with mediocrity and constantly striving for excellenceYou become comfortable with ambiguity in a chaotic and fluid environmentYou are passionate about technology and are not afraid to defend your opinions or position with peers/superiors

Minimum Qualifications 10+ years of experience shipping scalable, cloud native distributed systemsBS in Computer Science, or equivalent experienceAbility to work in a collaborative, cross-functional team environmentStrong grasp of Computer Science concepts (data structures, algorithms, and programming paradigms)Proficient in Java, Python and shell scripting toolsExperience with container orchestration like Kubernetes/Docker etc.Strong working experience on GitHub/Bitbucket, TeamCity/Hudson, Maven/GradleYou are experienced at building highly available services, possessing knowledge of common service-oriented design patterns and service-to-service communication protocolsExperience with Cloud Storage technologies like Block Storage, File Storage etcHands-on experience with btrfs filesystem will be a plusPreferred QualificationsBS/MS in Computer Science or Electrical ScienceExperience in a fast-paced start-up environmentExperience building control plane/data plane solutions for cloud native companiesExperience in diagnosing, troubleshooting and resolving performance issues in complex environmentsDeep understanding of Unix-like operating systemsProduction experience with Cloud and ML technologies would be helpful but not requiredData science and machine learning knowledge would be helpful but not required

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