Software Engineer · Azure · Integrations · Product

I build integration-heavy cloud products from architecture to production.

Based in Cluj-Napoca, I help teams ship systems that need more than UI polish: Azure infrastructure, deployment pipelines, REST/OAuth integrations, React Native products and AI workflow tooling that can be operated in production.

Open to B2B / contract / full-time · 4 enterprise systems shipped · English C1 near-native
Bogdan Stoica
ENGAGEMENT OPEN TO OPPORTUNITIES
ROLE SOFTWARE ENGINEER
BEST FIT CLOUD / INTEGRATIONS / AI
LOCATION CLUJ-NAPOCA, RO
EDUCATION MSC COMPUTER SCIENCE
Hire me for

Clear fit for contract, B2B and engineering team roles.

The fastest way to evaluate me: these are the problems where my experience maps directly to business value.

Proof points

Operational maturity, not just implementation speed.

4 enterprise systems shipped

Delivered end-to-end as solo developer, from requirements to production support.

Dev/UAT/Prod release governance

Package versioning, CI/CD release promotion and production-safe environment separation.

OAuth + queues integration reliability

Rate limits, pagination, retries/backoff, correlation IDs and audit-friendly logs.

C1+ client communication

Near-native English for explaining technical decisions to non-technical stakeholders.

Capabilities

Systems that bridge product, cloud and operations.

I operate best when the work requires engineering judgment across architecture, setup, implementation, release flow and long-term production behavior.

01. architecture to deployment

Full lifecycle ownership

I am strongest in roles where one person needs to understand requirements, design the solution, implement it, release it and support it after production launch.

02. production integrations

Reliability-first integrations

REST/OAuth integrations with explicit failure modes, retry boundaries, idempotency, structured logging and environment-specific credentials.

03. cloud and product

Cloud-backed product delivery

Azure infrastructure, DevOps pipelines, React Native mobile apps, Next.js interfaces and backend workflows designed around practical delivery constraints.

04. ai workflows

Useful AI, not demos

LLM/API integrations are treated as systems: schemas, validations, observability, user workflows and safe fallback behavior before visual novelty.

Experience

Recent roles and delivery evidence.

Mar 2026 — Present Active

Software Engineer

Automatify · Cluj-Napoca · Hybrid

  • Architect, develop and manage Azure infrastructure using Container Apps, Key Vault and Azure DevOps pipelines.
  • Develop cross-platform mobile applications using React Native and Expo.
  • Build AI-powered workflow solutions using Microsoft Foundry and Model Context Protocol integrations.
Jul 2023 — Mar 2026

RPA Developer / Automation & Integration Engineer

Tquila Automation · Romania · Remote

  • Delivered 4 enterprise UiPath automations end-to-end as solo developer, from requirements and architecture through release and support.
  • Integrated REST APIs with OAuth, pagination, rate limiting, retries/backoff and structured telemetry for production reliability.
  • Managed UiPath Orchestrator queues, assets, credentials, triggers, schedules, folders and Dev/UAT/Prod CI/CD governance.
  • Standardized REFramework with idempotency, error taxonomy, correlation IDs and audit-friendly logs.
Technical Stack

Technical environment.

Cloud & DevOps
AzureContainer AppsKey VaultAzure DevOpsDockerCI/CD
Product Stack
Next.jsTypeScriptReact NativeExpoReactSQL
Integrations & Automation
REST APIsOAuthUiPathOrchestratorREFrameworkStructured Logs
AI & Systems Track
Microsoft FoundryMCPLLM APIsGoRustWebAssembly
Current technical deepening

Evidence-based learning track.

Instead of percentage-based self-ratings, I prefer to show what I am building and studying publicly.

Go backend systems

Boot.dev Go + HTTP Clients certifications; private Go microservices in Viver.

HTTP clientsservice boundariestestingobservability

Rust and WebAssembly

Public Rust Cloud Terminal, CLI utilities and lower-level systems experiments.

AxumYewWASMmemory-safe systems

Operational AI workflows

AI code review server, Microsoft Foundry work and MCP integration path.

structured outputsvalidationmetricstool integration
Selected Work

Project evidence and anonymized case studies.

Selected work showing integration reliability, product engineering, cloud-backed systems and AI workflow tooling.

Education

Academic history and technical foundation.

Master's Degree in Computer Science

2025 — 2027

Babeș-Bolyai University, Cluj-Napoca, Romania

Focus on systems design, practical software engineering, Go and distributed systems.

Bachelor's Degree in Computer Science

2022 — 2025

Babeș-Bolyai University, Cluj-Napoca, Romania

Core coursework in algorithms, operating systems, databases and software design.

Contact

Need someone to own a cloud setup, integration workflow or product build?

I am open to contract engagements, B2B consulting, cloud architecture setups, internal workflow tooling and full-time software engineering roles. References available on request.