Note: The job is a remote job and is open to candidates in USA. IBM develops AI-powered, cloud-native software and data-streaming solutions for digital transformation. The Senior Software Engineer II will design and operate core infrastructure services for the Confluent Cloud Platform, focusing on scalability, reliability, observability, security, deployment automation, and large-scale cloud operations.
Responsibilities
- Design, build, and evolve internal infrastructure services written in Go, often as Kubernetes operators, that power the core platform behind Confluent Cloud
- Own the systems that make cloud infrastructure secure, scalable, observable, and reliable, using GitOps, Terraform, Prometheus, Grafana, and a strong foundation in Linux, networking, and public cloud
- Collaborate with engineers across Confluent to enable fast, safe, and autonomous deployment of services through shared platform tooling and best practices
- Take shared responsibility for the full lifecycle of our infrastructure: availability, performance, monitoring, incident response, and capacity planning
- Work on systems at scale, across tens of thousands of instances and multiple regions, with a focus on smooth, fast, and safe operations
- Influence the architecture and operational strategy behind the critical infrastructure that supports all of Confluent’s cloud services
- Participate in a 8-hour, follow-the-sun on-call rotation
Skills
- Bachelor's Degree
- Strong programming skills with the ability to read, debug, and evolve existing code (Go, Java, or Python) Deep understanding of systems internals (filesystems, memory, networking, kernel behavior) and large-scale system performance
- Hands-on experience with Kubernetes in production and modern cloud-native ecosystems, including containers and public cloud platforms (AWS, GCP, Azure)
- Expertise in automation and reliability practices—GitOps, Terraform, CI/CD, observability—and experience diagnosing and improving complex systems
- Strong collaboration, communication, and ownership mindset, with the ability to operate independently in a distributed team
- Master's Degree
- Strong programming skills with the ability to read, debug, and evolve existing code (Go, Java, or Python) Deep understanding of systems internals (filesystems, memory, networking, kernel behavior) and large-scale system performance
- Hands-on experience with Kubernetes in production and modern cloud-native ecosystems, including containers and public cloud platforms (AWS, GCP, Azure)
- Expertise in automation and reliability practices—GitOps, Terraform, CI/CD, observability—and experience diagnosing and improving complex systems
Benefits
- Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
- Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long-term disability coverage, and opportunities for performance based salary incentive programs
- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs
- Paid family leave benefits to eligible employees where required by applicable law
- Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences
Company Overview