Production Go Services
Microservices, REST APIs, distributed systems, service ownership, concurrency patterns, and clean boundaries.
GoPythonTypeScriptSQLPostgreSQLMySQL
Oleg Grishanovich | Senior Software Developer | AZ-204 Certified
Senior Go Backend Engineer for Production Systems
I build and operate backend services where reliability, observability, and clear ownership matter: Go microservices, Kubernetes platforms, CI/CD delivery, and applied AI infrastructure with strict backend boundaries.
Backend Scope
The practical work behind the headline.
Cloud-Native Delivery
Containerized services shipped through repeatable delivery pipelines with release stability in mind.
KubernetesDockerHelmGCPAzureGitHub Actions
Operational Reliability
Systems designed for diagnosis under pressure, with health checks, metrics, logs, traces, and failure handling.
PrometheusGrafanaELKTracingStructured logsIncident response
Applied AI Infrastructure
LLM features implemented as bounded backend pipelines with retrieval, schema control, and human review points.
RAGLLM APIsOCRPrompt contractsQuality controlsCloud Run
Experience
Professional progression and delivery responsibility.
Mar 2026 - Present
Platform Configuration Owner (PCO)
Capgemini
Own platform configuration execution across environments: configuration Git repository, Helm charts, CI/CD pipelines, GitOps maintenance, QA setup, and integration configuration.
Jan 2025 - Present
Senior Software Developer
Capgemini
Design and operate production Go microservices on Kubernetes, leading service design, API contracts, observability, deployment pipelines, and incident response.
Jul 2021 - Dec 2024
Software Developer
Capgemini
Designed core components of a Go backend platform for provisioning workflows, built REST APIs on MySQL, and hardened services with Kubernetes lifecycle patterns.
Additional Delivery
Selected work that supports the backend profile.
2025
SmartLearn AI
LLM-powered learning application using RAG, semantic search, context retrieval, prompt orchestration, and Google Cloud Run deployment.
2025
RitualOps AI
Architecture for AI-driven workflows and long-running processes with modular task execution, state management, coordination patterns, and multi-tenant configuration.
2025
Intentional Context Networks
TechRxiv publication proposing an intent- and context-driven communication model for explainable, coordinated, reliable multi-agent systems.
Selected Systems / Projects
Systems I designed, built, and operated across production delivery and applied backend AI infrastructure.
Production Systems
Architecture block
KMS 2.0 / OpenKCM
Knowledge and context management platform delivered as internal enterprise microservices and the public OpenKCM track.
June 2024 - PresentTechnical LeadProduction
- Designed and delivered Go microservices using goroutines and channels to improve throughput and responsiveness.
- Added Prometheus metrics, structured logging, and distributed tracing to speed up root-cause analysis.
- Managed CI/CD with Helm, GitHub Actions, and Docker across environments.
- Contributed modular APIs, plugin support, documentation, and onboarding material for OpenKCM.
Stack: Go, Kubernetes, Docker, Helm, GitHub Actions, Prometheus, Grafana, logging, tracing
Architecture block
KMS 1.0 Service
Golang backend system for automating provisioning workflows and improving scalability with Kubernetes and Docker.
May 2023 - PresentSPOC / Backend OwnerProduction
- Built Go REST APIs for tenant provisioning and key lifecycle management.
- Owned backend delivery and improved fault tolerance with Kubernetes-native health and lifecycle patterns.
- Integrated end-to-end testing into CI/CD to increase release stability.
Stack: Go, Gin, GORM, MySQL, Kubernetes, Docker, CI/CD
Applied AI Systems
Applied system
SmartLearn AI
LLM-powered backend/data service for flashcard generation and semantic matching.
2025System Designer / Backend EngineerDeployed
- Built backend RAG pipelines for retrieval, generation, and semantic matching.
- Implemented determinism and quality-control mechanisms for stable outputs.
- Deployed containerized backend service on Google Cloud Run.
Stack: RAG, LLM APIs, prompt templating, determinism controls, Google Cloud Run, Docker
Applied system
RitualOps AI
Platform-agnostic AI operations backend architecture with modular agents and long-running workflows.
2025System ArchitectArchitecture / Design
- Designed modular backend agent architecture for orchestration and reliability.
- Defined multi-tenant boundaries and commercialization-ready configuration patterns.
- Modeled non-trivial long-running backend workflow behavior across environments.
Stack: Multi-tenant architecture, modular agent design, configuration-driven backend workflows
Applied system
Issue DetectiveAI
Backend automation system for Jira issue triage using OCR and NLP pipeline stages.
2025Backend EngineerDelivered (Hackathon Top-10)
- Built backend OCR + NLP processing pipeline for issue extraction and triage.
- Dockerized and deployed the service for repeatable cloud execution.
- Delivered as a Top-10 hackathon project.
Stack: OCR, NLP pipeline, Docker, cloud deployment
Best Fit
Where this profile is strongest.
- Open to full-time roles and contract projects.
- Strongest fit: Go backend, platform engineering, distributed systems, cloud-native services.
- Cloud exposure: Azure and Google Cloud Platform.
- Delivery style: pragmatic architecture, explicit tradeoffs, production observability, and automated tests.