Full-cycle engineer
Tech lead, DevOps, and full-stack in one. You own the entire epic, from talking to the user to production. Not just front end or back end: you are responsible for the business result, not for closed tickets.
Careers for engineers and managers who own the business impact, cut unnecessary work and build an environment where results come faster.
Who we are looking for
Tech lead, DevOps, and full-stack in one. You own the entire epic, from talking to the user to production. Not just front end or back end: you are responsible for the business result, not for closed tickets.
Not a micromanager. You expect independence and speed from the team, keep loose coupling, and work with BPMN and a Hypothesis Map so the team builds what matters, not just a lot.
You connect the client's goals with what the team builds. You measure success by the client's business KPIs, not by the amount of work.
Not a fit if you want a narrow role where you do your own piece and do not touch the rest, expect a detailed spec for every step, or are not ready to talk to users. We have short feedback loops and personal ownership, and that is not for everyone.
Results-driven culture
KT.Team builds teams around the result. If a process, an approval or part of the development can be cut without losing quality, we cut it: good engineering should reduce the amount of meaningless work.
An hourly model rewards stretching work out. For us it's more important to remove the business constraint faster and not create unnecessary development.
When a clear deadline and budget are needed, we fix the scope of work. But we measure success by business impact, not by the number of tasks.
A team earns reputation and money when it sees a change through to a result: the user works faster, the system is simpler, the business sees the impact.
Innovation in development
Innovation matters to us when it removes unnecessary work and brings the team closer to a measurable result. That's why we constantly rebuild roles, processes and the engineering environment.
We model the business process before development to agree on the real outcome and eliminate unnecessary cycles before the start.
An engineer owns the user scenario and the whole result, not just a slice of the stack that's convenient to hand off down the line.
We choose technology to fit the task and the economics of the solution. We don't push a favorite stack where another tool delivers results faster.
The developer owns the epic and the solution level; the manager doesn't push micro-tasks but helps hold the business goal and constraints.
The next level of engineering: the user asks the machine, the machine does it efficiently, and the developer designs the environment that makes it possible.
Growth
AI is not a trendy line in the job posting, but our working tool. We build it into engineering processes and help clients become AI-native, so you are at the forefront, not catching up.
You write code with AI as a second engineer.
You build agents for configuration, data entry, and turnkey user support.
Agents, skills, token optimization; internal materials, mentors, real projects.
The "Pick two" rule no longer works
The traditional "quality — speed — cost" triangle, which claims all three goals can't be achieved together, is wrong for highly skilled work.
DORA research confirms every year: strong teams are simultaneously the fastest, the highest-quality and the cheapest. The book Accelerate explains how it is measured.
This is also clear in practice: Instagram grew to millions of users with a small team, and Notion shipped features with a team of 13. A compact structure and low architectural coupling deliver speed without losing quality — everyone understands the product as a whole.
Speed, quality and low cost are not a trade-off but a consequence of engineering maturity.

Projects shouldn't drag on for years
What's wrong with the classic corporate approach:
Why this breaks the development process:
The world's best engineers, including Google, don't work this way.

Time to Use (TTU)
TTU is the time to real-world use, not to handover; our honest counterpart to time-to-market. Value counts from the moment people are working in the system. The higher the TTU, the harder and more stressful it is to roll out innovation, the greater the resistance to change, and the more complex the launch cycle and the business process become — unnecessary roles appear.
Effort on a project follows the Rayleigh curve, and the timeline has a physical minimum. A stretched timeline bloats the team, multiplies unnecessary roles and approvals; ramping up headcount sharply statistically leads to missed deadlines.
Scope = productivity × effort^⅓ × time^(4/3). Time and effort are linked nonlinearly: a dragged-out launch ends up disproportionately more expensive, while a short timeline with a mature team is cheaper and more stable.
10 years of research: speed and stability correlate, they don't conflict. Elite teams ship a change in less than a day and break production less often. Speed is not the enemy of quality.
Small, frequent changes are absorbed more easily than rare, large ones. High TTU means accumulated resistance, rollout stress, and the risk of work that never gets used.
That's why we minimize TTU: loose coupling, small teams, and short cycles — so innovation reaches people quickly and without stress.
Mature teams
We don't break work into meaningless tasks. In a strong team, everyone understands the product, the user, the architectural constraints and their own responsibility for the result.
Who we're looking for
Full-cycle engineers who care about seeing the user, the architecture and the business impact of their work.
Delivery leaders who keep the goal, loose coupling and quality without micromanagement.
A role at the intersection of business and engineering: find the impact, build the solution and see the change through to a result.
Help clients find the tasks where AI cuts manual work and speeds up business processes.
Grow projects for developers and construction companies where IT shapes the economics of the environment.
Find people who embrace a mature engineering culture and ownership of results.
Build a system where everyone mentors everyone and knowledge quickly turns into practice.
How we hire
We check the fit on values, level of autonomy and expectations of the role.
We give you a real task for a day or a week: you see how we work inside, we see the results you deliver.
After a successful project, we make an offer, handle the paperwork and bring you onto the team.
Paid test project
A test project is a small business process with a clear goal, result criteria, and feedback. The market value of such a process is about 150 000 ₽, and we pay for it. This is not a way to buy a feature below market price: we look at how you think and how you turn results into value.
Goal. Using the working context - tasks, communication, and results - build a developer assessment, determine the L10/L20/L30 level, growth areas, and the next IDP step.
The achieved goal. The goal is achieved if the manager can use the output in a 1:1, and the developer understands what is backed by facts and what needs to change.
Goal. Based on the working communication context, identify signals of engagement, tension, burnout risk, conflict, and changing attitudes toward the team and project.
The achieved goal. The goal is achieved if the system helps the manager spot risk before it becomes a problem and provides verifiable grounds, not a 'psychological conclusion out of thin air'.
Etalon
Lean production, quality and kaizen as the foundation of our engineering culture.
Why, in non-linear development, the usual management reactions often backfire.
Research on engineering practices that shows the link between speed, quality and efficiency.