This is a hands-on engineering role for someone who enjoys solving complex distributed systems problems, writing high-quality code, and owning services from design through production. You will work with a strong team of engineers, product managers, and operators to deliver reliable, secure, and scalable cloud services that customers depend on every day.
You will design and develop backend services, distributed systems, and workflow orchestration capabilities for OCI, with a focus on reliability, scalability, performance, and operational excellence. You will contribute to architecture discussions, make pragmatic technical decisions, and build systems that are highly scalable, simple to operate, and easy to evolve.
Internal Responsibilities
As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. You will for example:
- Design, implement, test, and operate production-grade cloud services.
- Build large-scale distributed systems with clear APIs, strong automation, and high availability.
- Develop highly scalable workflows for orchestration, automation, provisioning, and lifecycle management.
- Improve service reliability, observability, performance, and security at cloud scale.
- Reason about concurrency, state management, failure recovery, idempotency, latency, and throughput.
- Participate in design reviews, code reviews, and operational readiness reviews.
- Troubleshoot complex production issues and drive long-term fixes.
- Collaborate across teams to deliver customer-focused solutions.
- Mentor engineers and raise the engineering bar through thoughtful technical leadership.
Ideal qualifications include:
- Strong experience building backend services, large-scale distributed systems, cloud infrastructure, or workflow orchestration platforms.
- Experience designing and operating systems that handle high volume, high availability, and complex failure scenarios.
- Proficiency in one or more modern programming languages such as Java, Python.
Solid understanding of data structures, algorithms, concurrency, networking, and system design. - Experience designing APIs, service contracts, asynchronous workflows, and production-ready software components.
- Familiarity with cloud platforms, containerized services, CI/CD, observability, and operational practices.
- Ability to reason about reliability, latency, scalability, state transitions, retries, backpressure, and trade-offs.
- Strong communication skills and a collaborative engineering mindset.
- Bachelor’s or Master’s degree in Computer Science or equivalent practical experience.
External Responsibilities
As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. You will for example:
- Design, implement, test, and operate production-grade cloud services.
- Build large-scale distributed systems with clear APIs, strong automation, and high availability.
- Develop highly scalable workflows for orchestration, automation, provisioning, and lifecycle management.
- Improve service reliability, observability, performance, and security at cloud scale.
- Reason about concurrency, state management, failure recovery, idempotency, latency, and throughput.
- Participate in design reviews, code reviews, and operational readiness reviews.
- Troubleshoot complex production issues and drive long-term fixes.
- Collaborate across teams to deliver customer-focused solutions.
- Mentor engineers and raise the engineering bar through thoughtful technical leadership.
Ideal qualifications include:
- Strong experience building backend services, large-scale distributed systems, cloud infrastructure, or workflow orchestration platforms.
- Experience designing and operating systems that handle high volume, high availability, and complex failure scenarios.
- Proficiency in one or more modern programming languages such as Java, Python.
Solid understanding of data structures, algorithms, concurrency, networking, and system design. - Experience designing APIs, service contracts, asynchronous workflows, and production-ready software components.
- Familiarity with cloud platforms, containerized services, CI/CD, observability, and operational practices.
- Ability to reason about reliability, latency, scalability, state transitions, retries, backpressure, and trade-offs.
- Strong communication skills and a collaborative engineering mindset.
- Bachelor’s or Master’s degree in Computer Science or equivalent practical experience.