citadel

Senior Devope/Web3 Infrastructure Architect/Builder & Emergency SRE Fixer/BugFixer

🛑 Executive Summary & Engagement Philosophy

This profile serves as a direct representation of my current technical focus and preferred trajectory. I am an independent Deep Infrastructure Architect and Senior SRE. My background spans from managing 1,000+ node enterprise ecosystems to engineering ultra-low-latency Web3 infrastructure, but my operational model is strictly focused on surgical, high-impact interventions.

My Rules of Engagement:

⚡ Web3 Core Capabilities & Services

🧠 Professional Experience: The Proof of Work

Independent Devops/Web3 Infrastructure Architect B2B Contractor / Citadel Core | 2026 – Present

Lead Platform Engineer & SRE (High-Load E-Commerce Ecosystem) Confidential Enterprise | 2018 – 2026 Managed the core infrastructure and resilience for a massive European logistics and e-commerce hub, overseeing 1,000+ computational nodes across complex GKE and AWS clusters.

Advanced Kubernetes & Kernel Engineering:

High-Load Architecture & Disaster Recovery:

Security, FinOps, and Observability:

🛠 Technical Arsenal

🌐 Krailo Labs & The Architectural Vision

Due to the strict NDAs covering my enterprise-grade B2B engagements, I am independently bootstrapping Krailo Labs to openly showcase my architectural vision. Built strictly without VC capital, this is a solo, engineering-first initiative that serves as a gateway to my broader technical ecosystem.

Currently, my public-facing domains are visual roadmaps and early-stage concepts of a much larger, self-funded product suite:

The Bottom Line: While Krailo Labs represents the long-term strategic blueprint of my future product ecosystem, my immediate, daily focus remains 100% hands-on: You provide the requirements, I execute the infrastructure.

(For a complete breakdown of my classic SRE proof of work, enterprise background, and the Krailo Labs architectural vision, please refer to my attached CV which will expand
).

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Below is a blueprint of polished, battle-tested processes I've implemented in high-load enterprises with over 5,000+ employees. This is top-tier, classic automation that simplifies daily operations, guarantees fault tolerance, enables instant incident reaction, and provides a strict structural flow during critical events. Whether your organization is 10 people or thousands,the core mechanics of stability remain the same- and this is what I've proven over years on massive infrastructure.

("this is a part of the experience I've gained and developed over years of work, and I'm eager to share it. these are the key methodologies I've nurtured for years and polished on high-load systems -Â and they work.
here is the architectural and operational maturity I can establish for your team"):

1. Advanced Enterprise GitOps & Automated Delivery

- Zero-Manual Pipeline: Implementing absolute GitOps (Flux CD, Helm, Image Automation, Image Reflector, Kustomizer). The repository becomes the absolute source of truth. Developers simply commit code, and within 3-5 minutes, changes are automatically and safely reflected in production.

- End-to-End Release Monitoring: Integrating semantic versioning automated via background jobs. Every single release lifecycle step is tracked from the "open/merge" state directly into Kubernetes using status annotators and lightweight curl hooks etc

-Â Automated Semantic Versioning & Tagging: Implementing fully automated semantic versioning and tagging driven entirely by automated CI/CD jobs/stages, completely eliminating human error and manual tagging. Every merge triggers a calculated version bump based on conventional commits,which immediately feeds into automated system status reports and populates custom version metrics. This ensures continuous, machine-driven predictability where your infrastructure and application versions are always synchronized,measurable, and tracked without any manual overhead.

- Dual-Phase Instant Rollbacks & Metric Annotations: Streamlining the lifecycle into a hands-free workflow: Merge -> Automated Build -> Infrastructure-driven Image Tagging -> Deploy (visual annotation in newrelic, grafana etc) If application metrics spike, we trigger an immediate, split-second runtime rollback by reverting the container image tag directly on the workload. This drops downtime to near-zero. This is instantly followed by a synchronized rollback commit from the development team to keep Git aligned as the ultimate source of truth. This dual-phase approach completely eliminates deployment conflicts and guarantees rock-solid, controlled recovery under high load.

OR

-Â Event-Driven Runtime Automation & Custom Operators: Beyond standard pipelines, I leverage advanced event-driven automation using tools like shell-operator and custom Kubernetes controllers.This long-term, battle-tested approach allows the cluster to actively watch workload states and instantly trigger infrastructure actions -Â such as runtime tag switches or automated health responses -Â directly inside the cluster based on real-time triggers. It has proven highly reliable over years of production deployment, handling complex edge cases without manual overhead.

-Â High-Velocity Hotfixes: Transitioning deployments into a state where a major release feels as routine as a minor hotfix. Delivery of critical hotfixes is optimized to take just 1-3 minutes from the developer's merge.

- Observability at the Core: Every hook, request, and deployment step is completely covered by metrics and self-healing mechanisms, allowing real-time response to underlying infrastructure issues.

2. Mature Incident Management & Escalation Culture

- Tiered Escalation Matrix: Designing structured on-call and response workflows with critical levels 1-5 (as example).

- Every application or group of services is labeled to define explicit reaction SLA boundaries (ranging from 1-minute urgent responses to non-critical thresholds).

- Accountable Rotations: Defining a clear sequence of response paths from the primary on-duty engineer to the service owner, adjusted precisely by incident type, severity level, and specific value streams (if exist).

- Post-Mortem Culture: Treating every downtime as a data point for system optimization. Using structured post-mortems to continuously track improvement metrics, which directly translates into minimized operational risks and business/financial efficiency.

3. FinOps Without Bloated Tooling: Introducing high-impact cost optimization practices from day one, cutting out expensive third-party SaaS products with internal alternative workflows that achieve superior efficiency.

[IF NEED]
With these foundational layers and immediate wins established, we can then smoothly transition to:

4. Platform Engineering & Next-Gen Architecture

- Internal Developer Portal (Backstage): Bringing proven experience in turning Backstage into a fully modernized platform. Developers can provision any GKE infrastructure, databases, clusters, or user access directly through a granular, automated UI, completely eliminating manual ticket clicking.

5. Low-Latency Infrastructure & Cluster API (CAPI): Implementing next-gen paradigms utilizing Talos OS, eBPF, XDP, and Cilium to achieve hyper-speed and rock-solid system stability (validated through my work on high-performance MEV architectures).

- Cloudplane & Control Planes: Managing the base cloud infrastructure via Crossplane, matching how Flux and Helm manage the application states inside Kubernetes. This makes spinning up a brand-new cluster as trivial and linear as deploying a single workload.

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I would be glad to implement this automation setup in its entirety or adapt it to your current environment. Ultimately, this level of structural automation is the definitive key to resilience, deployment speed, full-control and sustainable growth.

Also,if your infrastructure has the space or need for deep OS and network-level modernization, I would be thrilled to drive the adoption of an immutable, eBPF--powered stack utilizing Talos OS and Cilium. It's not just about integrating new tools; it's about architecting a fundamentally secure, highly observable, and performant foundation.

Additionally, I would love to help your team unlock the full, often underestimated potential of Cloudflare. When architected correctly - treating its edge ecosystem like programmable Lego blocks or a global extension of Kubernetes - it can be built into a massively powerful system of its own or serve as a robust, seamless complement to your core setup.

I can seamlessly integrate at any stage of your infrastructure''s lifecycle:
- If you don't have these processes, I will build them from scratch.
- If you have some elements in place, I will expand and optimize them.
- If your ecosystem is already fully mature, I am ready to maintain it with lightning-fast fixes and rapid incident response.

Over the years, I have architected hundreds of projects and managed daily operations for dozens simultaneously - putting out fires, assisting NOC teams as a DevOps engineer, or successfully handling both roles at once without losing focus or burning out. Modestly speaking, there are very few high-load production scenarios I haven't encountered, fixed, or improved.

If you are looking for an devops/architect who can both design the big picture and keep their hands deep in daily operations, I would love to connect

I am highly motivated to bring this exact level of predictability, high-velocity automation, and technical