Browse Skills

Design and manage large-scale AWS infrastructure estates using Terraform, covering multi-account strategies, module composition, state management, and cost optimization.

Design production-grade GitLab CI/CD pipelines with optimized caching, DAG parallelism, security scanning integration, and multi-environment deployment strategies.

Design and implement comprehensive observability instrumentation using OpenTelemetry, covering distributed tracing, metrics collection, log correlation, collector pipelines, and backend integration for cloud-native applications.

Design and implement controlled failure injection tests for API dependencies to validate system resilience, graceful degradation, and recovery mechanisms before production incidents occur.

Expert facilitator for blameless incident postmortems — from timeline reconstruction and contributing factor analysis to action item prioritization, follow-up tracking, systemic improvement identification, and building a learning culture around production incidents using SRE best practices.

Analyzes Kubernetes cluster resource utilization and recommends cost optimization strategies including right-sizing, autoscaler tuning, spot instance adoption, and commitment discount planning to reduce cloud spend by 30-60%.

Design production-grade serverless applications on AWS using Lambda, API Gateway, DynamoDB, Step Functions, and EventBridge with cost-optimized, secure architectures.

Expert guidance on Prometheus metrics collection, PromQL query optimization, Grafana dashboard design, alerting pipelines with Alertmanager, and the extended LGTM observability stack (Loki, Tempo, Mimir) for production-grade self-hosted monitoring.

Design and execute chaos engineering experiments with controlled blast radius, steady-state hypothesis validation, game day planning, and failure injection strategies using Chaos Monkey, LitmusChaos, and similar tools.

Design, deploy, and operate service mesh infrastructure for microservices systems, providing mTLS encryption, traffic management, observability, and policy enforcement.

Implements cloud cost tagging, FinOps dashboards, and per-team/per-product cost allocation using AWS Cost Explorer, GCP BigQuery billing exports, and Kubernetes resource quotas for accountability.

Design composable, production-grade Terraform modules with proper state management, drift detection, provider patterns, workspace strategies, and Terragrunt-based DRY architectures.

Designs and enforces security baselines for Kubernetes clusters using Pod Security Standards, CIS Benchmarks, admission controllers, and network policies to harden workloads against common attack vectors.

Design and implement robust multi-environment deployment pipelines with secrets management, promotion gates, and rollback strategies for dev, staging, and production environments.

Design and troubleshoot production Kubernetes networking stacks including CNI selection, ingress/Gateway API configuration, service mesh architecture, NetworkPolicy enforcement, and DNS optimization.

Design and implement circuit breaker patterns for distributed systems resilience, including bulkhead isolation, retry policies, timeout strategies, fallback hierarchies, and chaos engineering validation plans.

Designs comprehensive database backup and disaster recovery strategies including RPO/RTO targets, backup rotation schemes, cross-region replication, point-in-time recovery, and automated restore testing.

Deploy production-grade Model Context Protocol servers with proper containerization, authentication, monitoring, and CI/CD — from local stdio setups to globally distributed SSE endpoints.

Design, author, and maintain operational runbooks that enable on-call engineers to diagnose and resolve incidents faster with structured response procedures, escalation frameworks, and toil reduction strategies.

Optimize surface-mount technology production line performance through systematic OEE analysis, six big losses reduction, changeover optimization, and first pass yield improvement using TPM methodology and electronics manufacturing standards.

Designs optimal database replication topologies balancing durability, availability, performance, and operational complexity across relational and distributed systems.

Design resilient n8n workflows with intelligent retry strategies, error routing, dead letter queues, and alerting — transforming fragile automations into production-ready systems.

Designs and provisions production-grade Google Cloud data platform infrastructure using Terraform. Covers BigQuery, Cloud Storage, Pub/Sub, Dataflow, Cloud Composer, IAM, networking, and cost optimization with reusable module patterns.

Guide teams in adopting trunk-based development with short-lived branches, feature flags, fast pre-merge checks, and continuous deployment to reduce integration risk and accelerate delivery.