ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΎΠ΄ΠΊΠ»ΡΡΠΈΡΡ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
Hirify AI/ΠΡΠΈΠ³ΠΈΠ½Π°Π»
TL;DR
Confluent Staff Software Engineer II - Secure Compute (Kubernetes/Go): Building a multi-tenant, cloud-native compute platform for securely running trusted and untrusted workloads across AWS, Azure, and GCP with an accent on workload isolation, platform APIs, and operational reliability. Focus on designing Kubernetes controllers, workload scheduling, secure container runtimes, fleet-level resource management, and high-availability distributed systems.
Location: Remote within the United States; some travel may be required based on business demand.
Salary: $161,000β$299,000 per year.
Company
hirify.global, part of IBM Software, develops cloud-native data streaming and AI-powered software for digital transformation.
What you will do
Define the technical direction and architecture for the Secure Compute platform, including runtime and security for trusted and untrusted workloads.
Design and implement Go-based platform APIs, Kubernetes controllers, and operators for workload lifecycle, autoscaling, placement, and isolation.
Build secure multi-tenant compute infrastructure across AWS, Azure, and GCP, integrating it with core data and application services.
10+ years of experience delivering scalable backend or infrastructure software in production.
Experience leading the delivery of large-scale, highly available, low-latency distributed systems.
Deep Kubernetes expertise, including controller development, operator patterns, and preferably multi-region or multi-cluster architectures.
Strong Go proficiency and experience building production-grade services and control planes.
Experience with multi-tenant architectures and security or isolation patterns, including namespaces, network policies, sandboxing, secrets management, and identity management.
Hands-on experience with secure container runtimes and low-level Linux internals, including Kata Containers, Cloud Hypervisor, cgroups, namespaces, or seccomp.
Experience troubleshooting and optimizing containerized and virtualized workloads; familiarity with gRPC, Protobuf, and internal platform APIs.
Experience with observability and operational practices, including metrics, logging, tracing, alerting, SLOs, rollout strategies, incident response, and public-cloud integrations across AWS, GCP, and Azure.
Demonstrated technical leadership and mentorship, including cross-team alignment on architecture, strategy, and execution.
Nice to have
Strong collaboration with Product, SRE/Operations, Security, and Engineering teams.
A smart, humble, empathetic, accountable, and team-oriented approach.
Passion for foundational cloud infrastructure and enthusiasm for a fast-paced, innovative environment.
Culture & Benefits
Remote work within the United States with general daytime hours; some business travel may be required.
Healthcare, dental, vision, mental-health, life-insurance, disability, and financial benefits, including 401(k), pension, and employee stock purchase programs.
Paid time off including holidays, sick time, vacation, parental bonding leave, and other paid-care leave programs.
AI-driven learning resources, training, professional certifications, employee resource groups, volunteer opportunities, and product discounts.
Visa sponsorship is not available now or in the future; applicants must be able to work without current or future visa sponsorship.