Delivery engineering
YAML pipelines, release flows, build templates, quality gates, scanning, approvals, and predictable production deployment paths.
DevOps / SRE / Platform Engineering
I build and operate CI/CD, Kubernetes, automation, observability, security controls, and production release systems for high-change environments.
Expertise
YAML pipelines, release flows, build templates, quality gates, scanning, approvals, and predictable production deployment paths.
Kubernetes operations, Helm, KEDA, storage, traffic routing, resource governance, migration support, and runtime troubleshooting.
Service mesh, mTLS, egress policy, secrets injection, certificate lifecycle, observability, and incident investigation.
Job scheduling, recurring operational workflows, platform checks, reporting automation, and scripts that reduce manual release and support work.
DeliveryAzure DevOps, YAML, release pipelines, SonarQube, Snyk, werf.io
RuntimeKubernetes, Tanzu, Docker, Helm, KEDA, Redis, Kafka, NFS
ControlsIstio, Envoy, Contour, mTLS, Vault, Akeyless, CyberArk, PKI
OperationsDynatrace, Splunk, Fluent Bit, Terraform, Ansible, PowerShell, Bash, Python
Engineering impact
A curated public summary of platform engineering work. Raw ticket IDs, internal service names, incident details, exact operational scale, and environment-level implementation data are intentionally not published.
Case studies
Modernized large build and release surfaces from legacy delivery patterns toward YAML, standardized templates, quality scanning, security scanning, and repeatable promotion paths.
Supported runtime reliability through autoscaling, persistent storage, configuration governance, resource benchmarking, migration support, and production troubleshooting.
Worked on service mesh patterns and secure runtime controls, including traffic policy, mTLS, egress governance, secrets integration, and certificate lifecycle work.
Built and maintained scheduling, monitoring, and automation workflows for recurring operational jobs, reporting, platform checks, and repeatable production tasks.
Experience
A practical path from real-time production operations into DevOps engineering, with hands-on work across production reliability, delivery automation, runtime platforms, and infrastructure modernization.
Contact
Best fit: teams that need release discipline, Kubernetes operations, automation, observability, secure platform controls, and production reliability.