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Chuck GossJacob NemetzJude NwokoTal PerryRated 4.9 out of 5Rated 4.9/5.0 by 30+ customers

Backend SystemsBuilt For The LoadYou'll Have

We build secure Node.js and Python backends with reliable APIs, and integrations that grow with you.

Two developers reviewing work together on a laptop
  • 99.9% uptime target for reliable services
  • 100% contract-first APIs for predictable integrations
  • 2 technologies: Node.js and Python, matched to your needs

Trusted by Forward-Thinking Companies

Thirteen products shipped across healthcare, fintech, marketplaces, and workplace software. Different industries. Different stacks. The same team behind all of them.

Key Challenges We Solve

TWS adapts to whether your backend needs to be built, scaled, or rescued.

  • New Product Build

    Every early backend decision is either invisible for years or expensive within months.

    1. You're not sure whether Node.js or Python is the right call.

      We recommend based on the actual workload, whether it's I/O-heavy, compute-heavy, or data-science-adjacent.

    2. You don't know if your database schema will hold up as data grows.

      Schema design gets stress-tested against realistic future volume.

    3. Security feels like something to handle before launch, not during the build.

      Input validation, auth, and secrets management are default practice from the first endpoint.

    4. You need APIs that won't break the first time a partner integrates.

      Contract-first API design (OpenAPI) means the contract is defined and tested before the frontend or a partner ever calls it.

    5. You can't afford to guess wrong on architecture this early.

      Business and technical discovery happens before a sprint starts, so the hard calls get made with the full picture.

  • Scaling Products

    The backend that worked at low traffic is starting to show exactly where it breaks.

    1. Some endpoints have quietly gotten slow, and nobody's sure why.

      Query and endpoint performance gets audited directly, usually surfacing N+1 queries or missing indexes as the actual cause.

    2. The monolith is getting harder to deploy without something else breaking.

      Services get extracted deliberately, one bounded context at a time.

    3. Background jobs and queues were bolted on and now they're unreliable.

      Job and queue architecture gets redesigned around actual failure modes, with retries and monitoring that catch problems before they're silent.

    4. You're getting hit by more traffic than your rate limits were designed for.

      Rate limiting and load handling get rebuilt around your real traffic patterns.

    5. Nobody's confident the database can handle the next order of magnitude.

      Indexing, query patterns, and read/write splitting get addressed before they're the reason for an outage.

  • Legacy Backend Modernization

    The backend is old enough that every new feature has to work around it.

    1. The API has no documentation, and nobody fully remembers how it works.

      Contract-first documentation gets built retroactively, starting with the endpoints that change most often.

    2. There are no tests, so deployments are a source of anxiety.

      Test coverage gets added incrementally around the code being touched.

    3. The framework version is old enough to be a security liability.

      Migration happens incrementally, service by service.

    4. Everything is tightly coupled, so one change ripples everywhere.

      Coupling gets addressed at the boundaries that matter most first, based on where changes actually happen.

    5. Compliance requirements are catching up with a system that predates them.

      Security and compliance gaps get identified and closed as part of the modernization.

Our Point of View on Backend Engineering

Five standards that apply to every engagement, not just the ones a client asks for.

  • Contract-first API design

    The API contract gets defined and agreed before implementation starts, so consumers of the API aren't guessing.

  • Test-Driven Development

    Tests get written alongside the logic.

  • Security by default

    Input validation, authentication, and secrets management are baseline practices.

  • Database discipline

    Indexing and query patterns get reviewed deliberately.

  • Code review as a standard, not a gate

    Every PR gets reviewed for maintainability and failure modes.

Systems That Hold Up Under Real Load

Backend engineering done right doesn't look like a passing test suite in staging. It looks like a system that performs the same on a busy Tuesday as it did in the demo.

AQUATY, a finance and investments marketplace, needed a backend where security and reliability weren't optional extras, given the sensitivity of financial data and transactions running through it.

How Backend Engineering Solves Real Problems

Four ways solid backend architecture changes what your product can actually handle.

  1. The Database Stops Being the Bottleneck

    A direct audit of query patterns and indexes usually finds the specific cause of a slowdown, most often an N+1 query or a missing index, rather than a vague "the database is slow."

    That's the difference between a targeted fix and scaling up infrastructure to paper over a query problem.

  2. APIs Don't Break When Something New Integrates

    Defining and testing the API contract before implementation means a new integration, whether it's a partner or your own frontend team, isn't guessing at undocumented behavior.

    That's what prevents "the API changed and broke our integration" from becoming a recurring incident.

  3. Security Isn't a Pre-Launch Scramble

    Input validation, auth, and secrets management as default practice mean a security review finds far less to flag, because most of it was never built wrong.

    That's the difference between a security audit that's a formality and one that's a fire drill.

  4. The Monolith Stops Blocking Every Deploy

    Breaking apart a monolith one bounded context at a time, based on where the real coupling and change frequency are, avoids the common failure mode of a "big bang" rewrite that stalls for months.

What Our Clients Say

  • I've been very impressed with how collaborative the Team Work Spirit team has been over the past year. They've always engaged as an embedded part of our team, and never as a separate entity with extra barriers to communication.
    Chuck GossDirector of Development at Kizen
  • Oleksandr is a very knowledgeable developer. He has worked well with our team and is good at communicating and helping us solve problems. We look forward to working with him in the future.
    Jacob NemetzFounder & CEO
  • The TWS team did an excellent job in consulting with us on DevOps strategies as well as driving strategy implementation to completion in a very timely manner. The team is very professional.
    Jude NwokoCTO, Okada Books
  • I found Oleksii to be very knowledgeable and reliable. We always know what we would get with him and when we would get it. Oleksii was available to discuss decisions and present options to us.
    Tal PerryFounder, LightTag
  • Oleksandr and his team helped with our work in a timely manner, provided excellent communication, adherence to deadlines, and went above and beyond the scope of the project.
    Marcus ArkanFounder & CEO
  • Oleksandr has a great work ethic and very good communication skills. He took some very complex ideas and programmed them out for us with excellent quality. He is very responsible and responsive.
    Joel TherienCEO
  • I had the pleasure of working and learning with them. They were dependable and reliable to go above and beyond expectations when needed to get the required work complete.
    Melissa CohoeProject Manager
  • Oleksii really knows everything that is required to get the job done. Several times during the contract he was given short notice about problems that we were experiencing and with super speed in each case he responded.
    Andrew BlakeFounder & CEO

How We Work

Four steps, from architecture decisions to a system your team can maintain.

  1. Discovery and workload analysis

    We look at the actual data volume and traffic pattern before recommending a stack or a schema.

  2. API and schema design

    Contracts and database structure get scoped and agreed before implementation starts.

  3. Test-driven build

    Tests get written alongside the logic, not retrofitted once something breaks in production.

  4. Code review and security enforcement

    Every PR is checked against your standards and security practices before merge.

Our Tech Stack That Drives Results

  • React
  • Vue
  • TypeScript

Begin Your Backend Engineering Review

Your system, our review, let's find where it actually breaks.

Frequently Asked Questions