Best fit
Engineering Manager / Tech Lead
Small to mid-sized product, platform, or delivery teams that need a manager who can still reason deeply about architecture, code, and operations.
Available for Engineering Manager / Tech Lead roles
Engineering manager / tech lead candidate for teams that need delivery ownership, clear technical judgment, and hands-on Microsoft stack depth.
Tomáš Kubinec
Engineering manager for teams that need delivery and judgment.
I bring 8+ years across Accenture, PDI Software, and Avenga, with work spanning .NET 6/8 services, Azure and GCP workloads, SQL performance, identity integrations, GitOps, monitoring, and aviation data processing. The pattern is consistent: clarify the work, sequence delivery, make tradeoffs visible, keep systems supportable, and stay close enough to the code to earn engineering trust.
Engineering leadership | Delivery ownership | .NET | Azure | SQL | Angular | React | DevOps | AI-assisted delivery
Hiring fit
Where I make the most sense
I fit teams that need a manager who can set direction, protect execution, and still talk through the technical details without hand-waving.
Strongest stack
.NET, Azure, SQL, integrations
Microsoft-heavy environments with real production constraints: APIs, data workflows, identity, monitoring, performance, and delivery coordination.
Operating mode
Hands-on leadership
Useful where the work needs both management rhythm and technical execution: requirements, estimates, mentoring, incident context, and stakeholder alignment.
Management style
Based in Bratislava, Slovakia. I am looking for engineering manager or tech-lead roles where the team needs calm delivery ownership with real technical judgment.
I work best close to the real system: architecture, code review, requirements, estimates, release risk, production support, and the conversations that connect engineering work to business needs.
My edge is the combination of Microsoft stack depth, delivery discipline, and current AI-native building practice. I can help a team use AI faster without pretending that generated code removes the need for review, observability, and ownership.
- Engineering management for execution-heavy teams
- Technical leadership across product, delivery, and operations
- Microsoft stack architecture: .NET, Azure, SQL, and integrations
- RAG pipelines and citation-grounded answers
- LLM-ready internal wikis and knowledge bases
- Agent workflows, MCP-connected tools, and orchestration
- Eval suites, guardrails, and pilot-to-production discipline
- Data ingestion, aviation-oriented workflows, and performance tuning
Evidence
Proof from the work
The through-line is enterprise delivery with increasing ownership: define the work, build the system, coordinate the people around it, and keep production reality in view.
Enterprise delivery
Delivered customer-facing and internal systems across Accenture, PDI Software, and Avenga since 2017.
Manager-scope ownership
Owned delivery slices from requirements and architecture through implementation, testing, deployment, monitoring, and production support.
Production judgment
Worked on SQL performance, identity integrations, GitOps, cloud monitoring, ServiceNow automation, and aviation data workflows.
Builder mindset
Runs indie product experiments, AI workflow pilots, RAG prototypes, and model-assisted development loops outside client delivery.
Sep 2022 – Present
Avenga
Application Developer | team-lead and engineering-manager scope
Bratislava, Slovakia
Show DetailsHide DetailsDelivered enterprise software across security, insurance, packaging, integration, and aviation domains, with a focus on reliable .NET services, cloud workloads, integrations, SQL performance, delivery ownership, and production-grade execution.
Sep 2022 – Present
Avenga
Application Developer | team-lead and engineering-manager scope
Bratislava, Slovakia
- Built and maintained mobile apps, web portals, backend services, and cloud functions using .NET 6/8, Angular, Xamarin, Azure, GCP, SQL, and tSQL.
- Owned delivery slices from requirements and architecture through implementation, testing, deployment, monitoring, and production support.
- Worked with business and technical stakeholders to clarify scope, surface tradeoffs, and keep implementation aligned with operational needs.
- Developed patrol-management solutions supporting field activity tracking, mapping, and operational logging for security teams.
- Implemented backend and identity-related services for insurance systems, including Microsoft AAD / Entra ID integrations.
- Contributed to packaging management systems with debugging, implementation, query analysis, SQL profiling, and targeted database optimizations.
- Led integrations with Salesforce, Mailchimp, banking platforms, and external services for onboarding, invoicing, and recurring billing workflows.
- Engineered aviation data ingestion and processing applications, including structured outputs and NOTAM-related publishing workflows.
- Implemented GitOps deployment workflows and Azure monitoring with automated ServiceNow ticket creation.
.NET 6/8AngularXamarinAzureGCPtSQLEntra IDNUnitSonarQube
Jan 2022 – Present
Tomas Kubinec · Self-employed
Indie builder | Microsoft stack developer | product operator
EMEA · Remote
Show DetailsHide DetailsParallel indie track focused on product experiments, AI workflows, and practical automation, using the same scope control, delivery discipline, and technical judgment from enterprise projects.
Jan 2022 – Present
Tomas Kubinec · Self-employed
Indie builder | Microsoft stack developer | product operator
EMEA · Remote
- Defines product scope, builds the software, writes the operating workflows, and validates self-employed product ideas around trust, knowledge systems, aviation-oriented workflows, and AI-enabled operations.
- Uses model-assisted development, Cursor, Claude, Codex, MCP-style tools, and workflow automation to shorten research, build, and iteration loops.
- Explores RAG, internal wikis, evals, guardrails, and agent workflows as practical product and operations capabilities rather than standalone demos.
- Combines entrepreneurship, Microsoft development, DevOps, and full-stack delivery to move from idea validation to working software with explicit tradeoffs and maintainable systems.
Product strategyDelivery managementAI workflow automationMCPRAGCursorReactNext.js.NETAzure
Jun 2019 – Sep 2022
PDI Software · Contract
Application Developer
Bratislava, Slovakia · Remote
Show DetailsHide DetailsBuilt enterprise desktop and SPA products while working across requirements, architecture, estimation, implementation, testing, delivery, integrations, and operational tooling.
Jun 2019 – Sep 2022
PDI Software · Contract
Application Developer
Bratislava, Slovakia · Remote
- Delivered WinForms and SPA applications using .NET 4.8, .NET Core 3.0, Angular, Kendo UI, AutoMapper, Dapper, and SQL.
- Optimized SQL stored procedures and improved application performance and reliability.
- Led scalable solution delivery with Xamarin, microservices, RabbitMQ, Docker, and Kubernetes.
- Supported planning, estimates, technical decisions, and delivery coordination across business and engineering conversations.
- Applied TDD, implemented unit tests, and maintained engineering quality standards.
- Collaborated directly with business partners to translate requirements into technical solutions.
.NET 4.8.NET CoreAngularKendo UIDapperRabbitMQDockerKubernetesSQL
Apr 2017 – Jun 2019
Accenture
Application Developer
Slovakia
Show DetailsHide DetailsWorked on customer-facing digital products spanning Sitecore eCommerce, AR/VR applications, and SQL-backed enterprise systems.
Apr 2017 – Jun 2019
Accenture
Application Developer
Slovakia
- Built and maintained Sitecore eCommerce websites with emphasis on mobile responsiveness, security, and user experience.
- Developed UWP AR/VR applications deployed on Azure using the .NET stack.
- Worked closely with customer teams to align implementation with marketing and UX requirements.
- Maintained SQL databases supporting ongoing product delivery.
Sitecore.NETAzureUWPAR/VRSQL
Indie products & experiments
The self-employed side of the work: product bets, internet-scale trust questions, and longer-horizon experiments where I own scope, build, delivery, and operating workflows alongside contract delivery.
Founder Project · Trust Infrastructure
DecommissionedThe Carbon Club
A proof-of-humanity initiative centered on a verifiable human registry, intended to create practical trust surfaces for the AI-native internet.
- Built around a durable registry record anchored onchain as a time-stamped proof of issuance.
- Designed to support downstream trust products such as bot filtering, Discord verification, and developer-facing verification APIs.
- Presented as product infrastructure for environments where synthetic identity and impersonation are rising concerns.
Founder Project · Kids · Story & color
DecommissionedKidventor
A web experience that captured what a child imagined, shaped it into a short storybook, and rendered companion pages as coloring adventures—until generalized image models and platform-native story modes collapsed the niche.
- Turned free-form kid prompts into a coherent mini narrative with scenes parents could print or share.
- Generated line-art and simplified shapes so the same story doubled as a coloring journey, not only a finished illustration.
- Positioned for families who wanted structured, repeatable bedtime rituals rather than one-off pretty pictures.
In validation
A few parallel tracks in market validation and prerelease conversations—active product bets, not sunset notes or broad launch announcements.
Founder Project · Accounting workflow
Market validation · PrereleaseDoctriever
Helps accountants collect missing client documents without the back-and-forth chase.
- Targets a repeatable document-chasing pain point inside accounting and bookkeeping workflows.
- Focused on client-facing intake, reminders, and missing-item visibility before broader practice-management depth.
- Currently framed as a validation track for accountants, not a general-purpose document portal launch.
Founder Project · Kids · Interactive reading
Market validation · PrereleaseStoryTap
Photograph any picture-book page and turn it into a tappable, talking demo—kids tap objects to hear names and play simple find-it games on books they already own.
- Explores a narrow family use case: making existing physical books more interactive without replacing the book.
- Prioritizes tap-to-hear vocabulary, object discovery, and simple find-it play over open-ended child chat.
- In prerelease validation around parent trust, delight, and repeat use from books already on the shelf.
Founder Project · Agent orchestration
Market validation · PrereleaseWebPageCopilot
Agent-orchestration experiment spanning lead discovery through delivery and maintenance—with minimal human nudging.
- Tests whether agent workflows can compress the path from prospect research to scoped web delivery.
- Keeps a human review layer around outreach, implementation, and maintenance instead of pretending the loop is fully autonomous.
- Currently used as a prerelease operating experiment for service delivery and repeatable automation patterns.
Founder Project · Source-first content workflow
Market validation · PrereleaseSourcePop
A prerelease content workflow for turning source material into presentation-ready pages while keeping citations, claims, and reuse paths visible.
- Built around source-backed drafting instead of blank-page generation, so the supporting material stays close to the final artifact.
- Aims to help product and consulting work move from notes, briefs, and research into publishable web content faster.
- In market validation around whether source-grounded page assembly is a sharp enough workflow for repeat customers.
Founder Project · Relationship intelligence
Market validation · PrereleasePeopleCue
A prerelease relationship-intelligence concept for capturing lightweight cues about people, teams, and conversations so follow-up feels prepared instead of generic.
- Explores practical memory for customer conversations, stakeholder context, and relationship follow-through.
- Positions AI as a preparation layer—summaries, cues, and next-best context—rather than a replacement for human rapport.
- In market validation around high-signal personal CRM workflows for consultants, founders, and relationship-led teams.
What I am thinking about
Engineering leadership for AI-native delivery
Teams can move faster with AI-assisted delivery when scope, review, observability, and production ownership are treated as engineering-management work, not afterthoughts.
RAG that survives production
Retrieval design, chunking, hybrid search, and refresh pipelines so answers stay attributable to real sources—not one-off demos that collapse under messy enterprise data.
Knowledge systems, not toy chat
Internal wikis, runbooks, and policy corpora wired into LLMs with clear ownership and updates beat a standalone chat window nobody trusts after week two.
Faster product iteration with clear ownership
The edge goes to teams that prototype quickly, test demand early, and fold feedback into sharper product calls while one owner keeps priorities, risks, and delivery promises visible.
Human judgment over raw output
When execution gets cheaper, the work shifts to judgment: what to ship, how to measure it, and which ideas earn production-grade governance and cost controls.
Operating principles
How I lead technical work
- 1
Make scope explicit before the team pays for ambiguity in code.
- 2
Keep technical tradeoffs visible to both engineers and stakeholders.
- 3
Use AI to shorten research and implementation loops, then verify the work like any other production change.
- 4
Prefer systems that can be observed, supported, and handed over without heroics.
Capability map
- Engineering management
- Technical leadership
- Delivery ownership
- Stakeholder alignment
- Microsoft stack
- RAG & citations
- MCP
- Vector / embeddings
- Evals & guardrails
- Agent orchestration
- Paperclip-style ops
- Hermes-class / open models
- .NET 6 / 8
- Web API
- Azure / GCP
- SQL / tSQL
- Angular / React
- Xamarin
- Docker / Kubernetes
- Terraform / IaC
- RabbitMQ / MQTT
- SonarQube / NUnit
- Claude / Codex / Cursor
- Google AI Studio
- n8n / Zapier
- OpenAI / Gemini APIs
Writing
Notes on AI implementation, architecture, retrieval, agents, and the production details that decide whether a system earns trust in a real organization.
Browse individual articles directly from the tiles or open the full writing archive.
Contact
EM
hello@tomaskubinec.com
LI
https://www.linkedin.com/in/tomas-kubinec-85295ba9/
X
X
X
https://x.com/GoralKubo
Open to engineering manager and tech-lead roles where Microsoft stack delivery, production judgment, and AI-assisted engineering practice can make the team sharper.