Belitsoft is a nearshore partner enterprises trust when they need to save on custom software development.
Market Demand and Current State
Full-stack developers – engineers who design, build, and deploy both the client-side and the server-side of software – now make up the single largest category of advertised technical roles across the three biggest English-speaking technology markets.
During the first half of 2025, LinkedIn, Indeed, and leading European job boards published more vacancies containing the term “full-stack” than the combined total of posts that specify only front-end or back-end expertise.
Recruiters plan more software hires for the year that fall into the full-stack group, matching back-end demand and exceeding front-end demand by a wide margin.
Canadian labor data tell the same story: national tech unemployment stood at 3.3% in May, and many open roles were full-stack positions that remained unfilled.
Deep back-end specialists still command a premium in ultra-low-latency trading, high-frequency payments, and real-time analytics where nanosecond-level tuning yields competitive advantage, yet full-stack positions occupy a larger share of total advertisements.
Data science and machine learning roles remain highly paid and difficult to fill, but in raw volume they trail full-stack openings, which recruiters label the day-to-day “workhorse” need for most digital initiatives.
Business Drivers and Benefits
Executives favor full-stack hiring because a single engineer owning an entire feature removes handoffs, lowers defect risk, and accelerates release schedules.
Some measurements show reductions in average cycle time when separate interface and server teams were replaced by compact squads of generalists.
Fewer boundaries also simplify incident resolution and post-release maintenance, improving service-level performance without adding coordination overhead.
Finance teams benefit as well: a fully burdened senior full-stack salary typically costs less than the combined cost of two equally experienced specialists.
Cloud migration and rapid AI adoption reinforce the shift. Most applications launched in 2025 target containerized microservice architectures on Amazon Web Services, Microsoft Azure, or Google Cloud Platform. Engineers who can craft a responsive front-end, write and secure an API, define database models, package the result for automated deployment, and monitor runtime performance shorten the path from concept to revenue.
Because cloud costs now make up a measurable share of gross margin in many digital businesses, executives value developers who understand how interface decisions influence back-end load and how infrastructure choices flow through to the monthly bill.
Technical Requirements
Hiring managers list a consistent technical stack.
On the client-side, mastery of HTML5, CSS3, and JavaScript is assumed, with production-level experience in React, Angular, or Vue preferred.
On the server-side, Node.js and Python dominate postings, followed by Java and C# for systems tied to existing enterprise apps.
Relational databases such as PostgreSQL and MySQL and document stores such as MongoDB or Redis remain core requirements, along with demonstrable query optimization skills.
DevOps capability is in demand: practical familiarity with Docker, Kubernetes, Terraform, and at least one continuous integration pipeline is expected.
Security knowledge – input validation, secrets management, least-privilege configuration – and baseline observability (metrics, tracing, log correlation) round out the standard brief.
Experience integrating commercial AI services or building lightweight inference pipelines is emerging as a differentiator rather than a must-have, but the share of advertisements asking for that experience is climbing quarter by quarter.
Organizational Adoption Patterns
Startups depend on full-stack engineers to iterate minimum viable products when capital is scarce and founders are close to the code.
Mid-market enterprises embed the same profile in cross-functional product squads that pair a handful of deep specialists with generalists capable of absorbing fluctuating workload.
Large consultancies and system integrators staff projects with senior full-stack contractors to accelerate legacy system modernization and to handle capacity spikes without adding permanent headcount.
Across all segments, remote and hybrid work has normalized a geographically dispersed labor market, allowing employers in San Francisco or London to pull talent from Europe while still paying reference rates set in the traditional hubs.
Compensation Trends
Median starting offers for experienced full-stack candidates rose after remaining flat through 2023.
United States growth outside Silicon Valley continues. Valley salaries have stabilized but remain the benchmark against which remote candidates negotiate.
In the United Kingdom, vacancies grow as financial services and e-commerce firms shift projects to lower cost offices.
Halifax and St. John’s show rising numbers of remote postings as North American employers seek coverage that overlaps European business hours.
Scarcity translates directly into pay pressure.
Signing incentives and stock option refreshers have reappeared, especially in artificial intelligence, cybersecurity, and digital payments companies where back-end complexity carries outsized business risk.
Risks and Mitigation Strategies
Over-generalization remains the principal operational risk.
When engineers lack depth in any layer, codebases can accrue silent performance constraints or security exposures.
Organizations mitigate by replacing puzzle-based interviews with live coding on production repositories, by enforcing paired onboarding with domain specialists during the first release cycles, and by using capability matrices that reveal gaps early.
A smaller but growing risk is burnout, as breadth sometimes masks unsustainable workload. Firms now track developer experience metrics alongside delivery metrics to catch overload before attrition follows.
When Specialization is Preferred
Hiring full-stack developers works well for rapid MVPs, tight budgets, or small teams. However, as soon as performance, security, scale, or legal certainty become critical, most organizations add specialists.
The practical approach is to maintain a lean group of generalists for fast iteration and bring in deep experts where necessary. Sectors such as defense, health care, and payments face strict laws (GDPR, CPRA, and others). A single engineer handling both advanced UI work and secure cryptography may miss edge-case exploits or delay urgent patches – dedicated professionals reduce that risk.
About the Author:

Dmitry Baraishuk is a partner and Chief Innovation Officer at a software development company Belitsoft (a Noventiq company). He has been leading a department specializing in custom software development for 20 years. The department has hundreds of successful projects in AI software development, healthcare and finance IT consulting, application modernization, cloud migration, data analytics implementation, and more for startups and enterprises in the US, UK, and Canada.
Contact Details:
Website: https://belitsoft.com/
USA +1 (917) 410-57-57
UK +44 (20) 3318-18-53
Email: info@belitsoft.com