Traffic is growing, but the system survives on manual attention
Every load spike feels risky, and scaling the system looks like a potential incident.
Independent engineer for high-risk backend work
I help fix difficult backend problems where mistakes are expensive.
Integrations, scaling, legacy modernization, architecture corrections, critical subsystem ownership.
I can advise, or I can step into the code and carry the change through to a working result.
- Remote-only engagements
- 17+ years in commercial development
- Go, Kotlin, PHP, Python, Node.js, C++ and more
What I solve
Typical engineering problems I get called into
Integrations are breaking timelines and creating constant noise
External APIs, queues, and data flows have become the most fragile part of the product.
Legacy is slowing delivery and draining the team
Every change is expensive, risky, and likely to trigger new breakage.
A critical backend area has no confident owner
You need someone who can understand it fast, make decisions, and take control of it.
Who this is for
Who usually brings in an external engineer
For CTOs and tech leads
When you need fast clarity on risk and implementation that goes beyond recommendations.
For founders and CEOs
When a technical problem is already affecting timelines, money, or customer trust.
For hiring and engineering managers
When you need to strengthen the team while also removing pressure from the hardest engineering work.
For engineering teams
When you need more than advice: a hands-on engineer who can enter the codebase and help carry the work through.
Selected outcomes
Cases in the format problem → action → result
Marketplace integration platform
Marketplaces
Problem: order growth was colliding with fragile integrations and overloaded data paths.
Action: designed the backend for marketplace integrations, async flows, and caching.
Stack: Go, Kafka, gRPC, Redis, Memcached, Tarantool, MS SQL, Consul.
Result: order processing became 35% faster, database load dropped by 50%, and peaks became manageable.
Telecom and voice services
Telecom and voice services
Problem: services lacked observability, and some communication flows were too fragile.
Action: improved backend services, queues, metrics, logging, and inbound message processing.
Stack: Go, NATS, RabbitMQ, PostgreSQL, ClickHouse.
Result: incidents became easier to localize, manual work went down, and service resilience improved.
Medical platform
Medical platform
Problem: partner onboarding had to move faster without weakening release reliability.
Action: built the core backend, delivered integrations, and introduced CI/CD.
Stack: Kotlin, Ktor, Exposed, Go, PostgreSQL, CI/CD.
Result: partner onboarding sped up, reliability improved, and new features reached production faster.
Legacy modernization
Legacy modernization
Problem: old systems were slowing product work down and making changes expensive.
Action: isolated critical areas, introduced new architecture in parallel, and migrated step by step.
Stack: PHP, Python, Perl, Node.js, C++, Yii2, Zend Framework, MariaDB, MongoDB, RabbitMQ.
Result: support costs dropped, release cycles shortened, and the product regained room to move.
IoT and telematics
IoT and telematics
Problem: the platform had to be upgraded without breaking the device layer.
Action: supported the old system while designing the new backend and device-side architecture.
Stack: Yii2, Python, Node.js, C++, RabbitMQ, MariaDB, MongoDB.
Result: the platform became more stable, device integrations became easier to support, and releases became more predictable.
Telephony and hiring
Telephony and hiring
Problem: the product had to improve while the engineering team also needed strengthening.
Action: developed telephony-related features, automated event processing, and joined technical hiring.
Stack: PHP, PostgreSQL, MongoDB, Redis, Node.js, Jenkins, PHPUnit, Selenium, Asterisk.
Result: the service became easier to manage, and the team grew with developers trusted in production.
How I engage
How clients can engage me
- Architecture audit with written conclusions
- Short technical diagnostics
- Ownership of a critical subsystem
- Hands-on refactoring of complex backend parts
- Joining an existing stack and team
- Mentoring and hiring calibration
- Documentation for business and developers
Why clients hire me
Why clients work with me
After 17+ years across different systems, I recognize common backend failure patterns quickly: architecture drift, brittle integrations, weak ownership, and expensive technical decisions.
I work pragmatically. I do not push a preferred stack, I work inside existing systems when that is the right move, and I change tools only when the payoff is clear.
When needed, I move from analysis to implementation: enter the codebase, do the hard part hands-on, and hand the result over with documentation the team can keep working from.
Contact
Describe the problem, the risk, and the result you need
Tell me what is not working, where the biggest technical risk is, and what result you want to achieve.