Senior Software Engineer – Kubernetes & Go

DYNE is seeking a Senior Software Engineer to support customer environments and address high-severity technical escalations. The role focuses on Kubernetes and Go debugging, code fixes and backports, regression prevention, and long-term product improvements.

Responsibilities:

• Own high-severity customer escalations end-to-end: reproduction, root cause, fix, verification, and customer confirmation
• Debug complex issues across Kubernetes control plane, cluster lifecycle, networking, storage, and workload runtime
• Produce clear, technically rigorous RCA documents suitable for customer and executive review
• Partner closely with Support, TAMs, and Customer Success to unblock production issues quickly
• Deliver production-quality fixes in Go across Palette microservices and Kubernetes-native components
• Backport fixes across multiple supported release branches with strong regression discipline
• Drive hotfix, patch, and CVE releases in coordination with QA, Release Engineering, and Product
• Maintain high code-review standards: small, safe, well-tested, and well-documented changes
• Build reproduction environments and minimal test cases that convert customer scenarios into reusable engineering assets
• Expand unit, integration, and end-to-end test coverage to prevent regressions
• Partner with QA to harden test suites based on real-world failure modes
• Identify systemic gaps in observability, error handling, and upgrade paths, driving them to closure
• Identify recurring escalation patterns and drive engineering changes that eliminate root causes
• Feed insights into Product Management and feature teams to influence roadmap and design reviews
• Improve upgrade, rollback, and day-2 operations based on customer signals
• Contribute to supportability improvements: logs, diagnostics, must-gather tooling, and self-service remediation
• Use generative AI tools responsibly to accelerate log triage, stack trace analysis, reproduction scaffolding, and RCA drafting
• Apply effective prompt-engineering practices to improve debugging workflows
• Validate all AI-generated artifacts to ensure correctness, security, and compliance
• Maintain clear Markdown-based RCAs, fix write-ups, and knowledge-base entries
• Own escalations from symptom to fix, backport, verification, and preventative follow-through
• Improve engineering KPIs: time-to-RCA, time-to-fix, backport lead time, repeat-defect rate
• Collaborate across Development, Support, Product Engineering, QA, Release Engineering, and Security

Requirements:

• 3–4 years of hands-on software engineering experience in Engineering, Escalation Engineering, or similar production-focused roles
• Strong Kubernetes experience: operating, debugging, and modifying Kubernetes components (controllers, operators, CAPI, CRDs)
• Strong development background — able to read, write, and ship production code
• Proven ownership of high-severity customer escalations including code-level root cause and fix delivery
• Experience backporting fixes across multiple supported release branches
• Strong distributed-systems debugging skills across networking, storage, and control-plane behavior
• Working knowledge of AWS, Azure, or GCP
• Excellent written and verbal communication skills