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Belitsoft, Ulica Elektoralna 13/103, Warsaw (2026)

20/02/2026

⚡️Belitsoft’s Backend Development Outsourcing Report: Top 2026 Trends to Watch

The backend development outsourcing market is expected to experience significant growth in 2026, driven by changes in the labor market and technological megatrends, according to Belitsoft, a custom software development company. In addition to saving costs, businesses in North America and Europe are utilizing outside providers to access specialized knowledge in data, cloud, artificial intelligence, and industry-specific fields.

Factors that Fuel Growth

✅Lack of Workforce and Rising Automation

There is a shortage of engineers in the fields of cloud, AI/ML, and cybersecurity, so companies often have to hire them from outside their own companies. McKinsey states that many businesses need a sourcing strategy that includes automation, insourcing, and outsourcing. In its own way, generative AI is making the world a better place. For example, 83% of CEOs say they already use AI for tasks such as writing code and automating testing, which they often assign to outside teams. Even though technology makes it easier for outside teams to complete tasks faster, this AI-powered outsourcing does not mean that you do not need qualified people.

✅Digitalization by Field

Customers want verticals to adopt new technology more quickly, and competition is driving them to do it. Health systems are starting to use telemedicine, insurance companies are using AI analytics, FinTechs are making new digital banks, and car companies are racing to make electric cars that can work together. Outsourcing can make things better. For instance, a recent Deloitte fintech survey found that businesses want to use outsourcing to help them grow and offer new services in addition to cloud and GenAI.

✅Concerns about the Supply Chain and Geopolitics

Events like the pandemic, trade wars, and conflicts make businesses not want to depend on just one region. Because of this, nearshoring and regional hubs are becoming more common. European businesses rely on partners in Eastern Europe and North Africa, but North American businesses are investing more in core projects in the US and Latin America.

Deloitte also notes that Global In-house Centers are becoming more popular again, especially in Asia. This means that businesses want to have more control. Procurement teams are especially asking for risk management and openness, which often means outsourcing to local businesses or allied nations.

How to Make Outsourcing Work Best

✅Track Important Trends Constantly

You cannot simply outsource once. Keep an eye out for emerging trends such as low-code platforms, generative AI tools, or shifts in the likelihood of geopolitical events. According to a recent McKinsey study, for example, AI has increased developer productivity rather than replacing programmers. If you stay up to date, you can modify the way you assign projects. For instance, you could assign the most crucial work to your own employees while using AI-powered offshore teams for other tasks.

✅Make Your Goals and Limits Clear

Don't hire out all of your work. Align projects with specific tasks that need help from outside sources, like moving to the cloud or building an AI model. Companies are bringing some non-core work in-house on purpose so they can have more control. They should do the same with outsourcing by focusing on clear, outcome-based deliverables.

✅Pick the Proper Model

You can choose between nearshore, offshore, or onshore based on your company's rules, the time zone overlap, and the skills you need. For highly regulated tasks, such as banking or health data, it may be safer to work onshore or in a place known to be secure. However, you can outsource tasks that are highly development-focused. TechRepublic notes that American businesses are increasingly using a mix of models, with some tasks being performed by domestic workers and others by international vendors.

✅Adopt DevOps and Agile Methodologies

Work with engineers who utilize the most up-to-date methods. Collaboration tools, cloud infrastructures, and continuous integration/continuous deployment (CI/CD) are all very important components. Gartner and Deloitte say that businesses want flexibility, so their teams need to be able to adapt and use automation tools like AI assistants like Copilot to speed up delivery.

✅Put Money into Working Together and Making Rules

The idea of the "extended workforce" suggests that you should maintain good vendor management even when hiring outside help. Deloitte advises that Vendor Management Offices should be able to cover the entire ecosystem, including AI workers and contractors. This means that procurement heads need to establish clear Service Level Agreements (SLAs), performance indicators, and rules for how they should communicate with each other. To protect valuable intellectual property and best practices, encourage a culture of collaboration and ensure that information is shared.

An industry study says that the best CTOs and procurement executives in 2026 will be those who can bring together teams from different countries, use AI-powered solutions, and manage a diverse talent pool.

11/02/2026

BELITSOFT'S BEST PRACTICES FOR HIRING TOP PYTHON DEVELOPERS IN 2026

One-third of developers already use Python, according to the Stack Overflow Developer Survey. From 2024 to 2025, this is a 7% rise. JetBrains did a survey and found that 86% of Python developers use it as their main programming language. This strong need for committed Python engineers is expected to continue, according to the software development outsourcing firm Belitsoft.

Deloitte, an analytical firm, predicted that total IT spending would go up by about 9.3% in 2025. However, investment in AI will go up by an amazing 29% every year. This implies that there will always be a need for Python developers. Business Insider says that data from the job site Indeed shows that IT job ads in the first half of 2025 also wanted people with skills in Python, SQL, and AWS. In general, you should expect severe competition if you’re wanting to employ a talented Python engineer.

Additionally, prevailing employment trends favor a global, remote labor pool. Tech organizations spend up to 40% of their time hiring engineers, and they have difficulty screening candidates from around the globe.

“Talent Cloud” solutions employ AI to quickly screen and match candidates; some claim to save over fifty hours each hire by drastically cutting down on interview time.

At the same time, research reveals employers are recruiting fewer entry-level graduates and more mid-level professionals: In 2024, Big Tech increased hiring of engineers with 2-5 years of experience by 27% while reducing hiring of recent graduates by about 25%.

The best thing to do in 2026 is to hire engineers who have proven experience and up-to-date knowledge of the latest Python technology.

❓Why Python Developers Are in High Demand

Web backends, automation, artificial intelligence, and data science are all part of Python’s robust ecosystem. Python is now very closely related to data analysis and machine learning. A survey found that Python, machine learning, and data analysis are becoming more and more connected.

Python is also a place where people can learn cloud and DevOps skills. When companies hire, they often look for people who have CI/CD, AWS, and DevOps skills. This is consistent with anecdotal hiring data: according to Business Insider, the most sought-after employment skill clusters for 2025 were AWS + CI/CD and Python + AI.

These trends’ practical effects are visible everywhere. The number of async, API-driven apps has grown, and so has the number of web frameworks that use FastAPI. 38% of people who answered said they used it a year ago.

Language tools are also changing. Modern programmers need to be good at both typing and async/await in order to use new Python 3.14 features like free-threading and static type-checking improvements that tools like Ty and Pyrefly make possible.

In short, the best Python developers will need to have a strong understanding of the basics as well as experience with the most recent libraries and paradigms.

💡The Best Python Skills for 2026

✅Data and Machine Learning
You should know how to use data tools like Pandas and NumPy, as well as libraries like TensorFlow, PyTorch, and scikit-learn. Knowledge of how to use Python for AI, analytics, or natural language processing Python coders with knowledge of data pipelines or machine learning models are highly sought after for a variety of roles.

✅Cloud & DevOps
Familiarity with AWS/GCP/Azure, containerization (Docker/Kubernetes), and CI/CD tools is essential. Data indicates that Python is a popular skill when paired with AWS and CI/CD. Python programmers frequently create serverless functions or use cloud platforms to deliver code.

✅Databases
You should know how to use SQL (especially PostgreSQL, which is used by about 49% of Python developers) and have some experience with NoSQL (Redis, Elasticsearch) or ORMs (SQLAlchemy, Django ORM). Python backends often work with relational databases.

✅Web & API Frameworks
While knowledge of Django or Flask is still beneficial, new frameworks such as FastAPI (high-performance, async) are rapidly gaining traction. Developers with experience creating Python backend systems, microservices, and web APIs will be sought after by recruiters.

✅Async and Concurrency
As systems get bigger, it’s becoming increasingly important to know how to program concurrently, with multiple threads, and with async/await (a feature in future Python 3.14).

Python Tools Right Now: The ability to use code quality tools, speed improvements (like knowing how to use Rust to speed things up), and type hinting tools like mypy and Pyright is crucial. Soft skills and process skills include being able to solve problems, use version control (Git), follow the Agile process, and communicate clearly. Reviews suggest that clients reward developers who efficiently manage projects and provide transparent explanations of concerns.

🚀Global and Remote Hiring Trends

The rise in remote work during the COVID-19 pandemic has made it much easier for people to apply for jobs. A recent study (via TechCrunch) found that looking for candidates in other countries can increase the number of candidates by more than 400% (for example, +430% in available developers in some cases).

Yet, a lot of businesses still struggle to hire people from other countries because of lack of best practices. Engineering leaders say that hiring takes up to 40% of their time. More and more businesses are using remote-first hiring platforms to deal with this. For example, “talent cloud” marketplaces offer to use AI to evaluate and match candidates worldwide, reducing hiring times to days. One report says that these solutions can save more than fifty hours on each technical hire by automating interviews.

When companies hire more people from other countries, they have to deal with time zones, legal payroll issues, and communication problems. The benefit, however, is having access to a far larger pool of highly skilled Python developers.

For a lot of startups and CTOs, the question has changed from whether or not to hire people from outside the company to how to do it well. With the growth of fully distributed businesses, a Python developer in Southeast Asia or Eastern Europe can be just as successful as one in their home region if you have procedures in place for collaboration and onboarding (e.g., overlap hours, clear documentation, etc.).

The change in the mix of experiences is another important change. According to TechCrunch, major companies and startups are recruiting more mid-career coders while eliminating entry-level employment, partly because AI is handling repetitive tasks. This means that when hiring in 2026, people with two to five years or more of real-world experience will be given more weight than new graduates.

When creating your hiring strategy, favor candidates with proven project experience (open source contributions, past products), and dismiss those without a portfolio or code to demonstrate.

💡Important Steps for Hiring the Best Python Talent

✅Search Widely
Post on international job boards (Indeed, LinkedIn), specialized websites (StackOverflow Jobs, Python.org Jobs), and platforms that cater to remote workers. Consider Python Slack, PyLadies, or local forums. Another place to find applicants is through outsourcing companies. You can find verified Python companies on sites like G2, Gartner Peer Insights, Techreviewer, GoodFirms, or Clutch.

✅References and Reviews
Speak with former managers or clients. What do they say about how timely, proactive, and communicative the developer is? Vendor client reviews are frequently listed on independent review websites (Clutch, G2, GoodFirms), which can help you get a feel of what to anticipate from contractors or agencies. Following a methodical procedure and considering both technical and human considerations will dramatically boost your chances of finding an excellent Python hire.

✅Evaluate Past Work
Ask them about their preferred Python projects and tool selections. Strong, committed Python developers can explain how they selected specific frameworks or made sure the code was of high quality. Try a short paid trial before committing to a full-time job to see how well you do in the real world.

✅Gaining Knowledge from Python Vendor Customer Reviews
Prior client testimonials might offer insightful information about what characteristics to seek (and not seek) in employers or applicants.

For instance, Clutch profiles of Python programming companies always mention things like clear communication, good project management, and technical skills. One profile claims that [the firm’s] technical expertise, efficient communication, and proactive project management are often praised by clients, leading to high satisfaction.

Another review summary says that client feedback always points out their great communication skills and ability to manage projects well, and 90% of reviews praise how well they can adapt. Top-tier Python coders will actually display these traits. They keep stakeholders up to date, meet deadlines, and make changes when needed.

Value and adaptability are also regularly commended by clients. Several reviewers emphasize excellent, economical labor. One vendor said, for example, that “pricing fits our budget” and that they “provide good value for cost.” High-quality work and competitive costs are seen as major advantages, but you shouldn’t pick someone only based on their cost.

However, there are also common pain spots. Timeline delays and scope creep are issues raised by some clients. For instance, “mixed sentiments regarding project timelines… some clients expressing dissatisfaction over delays” is highlighted in some assessments.

Although it was mentioned that the rates had increased, another company received praise for its expertise: “mixed sentiment regarding overall cost… some desired more affordable options.” Some reviews say that procedures are too strict or that there isn’t enough communication. Sometimes, companies are even criticized for being too strict with their culture.

In short, good recruits and partners are those who know how to talk to each other, keep projects on track, and give you your money’s worth. It is possible to determine whether a candidate has learned from these industry lessons by looking up their previous clients or asking for instances of managing scope and timelines.

💡Hiring Advice and Best Practices

✅Use Both Behavioral and Technical Interviews
Don’t ignore cultural fit; even remote developers need to be able to function well in a team. Discuss their working style with them in a kind yet perceptive way. Ask them how they keep up with new Python tools and frameworks, since many great developers value learning new things throughout their lives. This helps you find people who are motivated to work.

✅Consider Flexible Engagements
If you don’t have the time to hire people internally, you can save time by using third-party vetting platforms and top software development outsourcing companies. After reviewing portfolios and administering coding tests, only the top applicants are displayed. This strategy is currently extensively utilized by firms to construct technical teams without encountering a lack of personnel. According to data from HBR, hiring offshore developers can help you identify more competent workers. Use trial periods or part-time jobs to evaluate candidates in real-world situations.

✅Pay and Benefits that Are Competitive
There aren’t many Python developers who know AI and ML. Use data from your field to set salary standards. Additionally, stress growth by letting them try out new libraries or make contributions to open-source projects. Forbes and Gartner regularly emphasize that highly competent tech professionals choose projects that expand their skills and portfolios. Indeed, for example, suggests that job ads should focus on “cutting-edge project opportunities.”

Final Thoughts for CTOs, Startup Founders, and Hiring Managers
In 2026, there will be plenty of opportunities to hire dedicated Python developers offshore or nearshore due to strong trends and a large pool of internationally proven talent. According to reputable studies (Stack Overflow, Deloitte) and industry sources (Wired, VentureBeat), remote teams are becoming more common, and there is a strong demand for Python skills.

Genuine client testimonials, however, serve as a reminder that successful projects require strong security and legal safeguards, competent project management, and good communication.

Combine thorough screening (technical interviews, reference checks) with strategic planning (pilot projects, complete contracts) to ensure hiring decisions are made with confidence.

Early on, take care of legal and intellectual property concerns, and integrate your committed development team into your procedures and culture.

Check in on your progress often and be ready to make changes. You can do this without losing control of your product vision and still get access to a global pool of talent.

The benefits of offshore and nearshore Python development – cost-effectiveness, scalability, and access to a wide range of expertise – can greatly outweigh the drawbacks if they are managed correctly.

By following the rules above and paying attention to what their peers have done and what research has shown, tech executives can build strong, long-lasting offshore relationships that help their projects move forward.

03/02/2026

BELITSOFT SHARES CUSTOM SAAS DEVELOPMENT OUTSOURCING GUIDE IN 2026

The Belitsoft software development company introduces a guide for U.S. and European founders and CTOs who want to outsource custom SaaS development in 2026. It covers the needs of different industries and explains how the best vendors can assist in achieving more. Each section features expert analysis and reliable data.

There will be both challenges and opportunities in the enterprise SaaS market in 2026. Experts say that many B2B SaaS companies are having trouble because their costs are going up and their growth is slowing down. For instance, Business Insider says that the SaaS industry is moving away from flat per-user pricing and toward usage-based models because running AI-powered features is costly. In this situation, both new businesses and established ones are trying to make the most of their money and accelerate their development.

In this situation, both new businesses and established ones are trying to make the most of their budgets and speed up development. When you do not have enough internal resources, outsourcing SaaS development to specialized vendors can give you the expertise, speed, and scalability you need. According to Deloitte's research, modern outsourcing deals are about more than just saving money. They also focus on results, skilled workers, and flexibility. In other words, companies are turning to expert providers who can deliver more, often using artificial intelligence and automation, without driving up budgets.

WHY OUTSOURCE SAAS DEVELOPMENT IN 2026?

✔️ Lack of Talent and Knowledge. It was hard and expensive to find local SaaS engineers because the unemployment rate for tech jobs in the U.S. was only about 2.3% a few years ago. By 2026, even more engineers will be utilizing AI and cloud-native tools, which will raise the bar even higher. Outsourcing allows you to hire people from all over the world who have the specific skills you need, such as AI, cloud development, and compliance, and so on.

✔️ Cost Efficiency & Flexibility. When you outsource, you move costs from fixed hiring to variable service fees. Deloitte notes that, although cost savings are no longer the only driver, most companies still seek greater efficiency: they look for partners who can do “more for the same budget”. Outsourcing companies today invest money into automation platforms and low-code tools that enable them to add features faster than if their staff were to do it. In other words, the same amount of money buys more development work.

✔️ Focus on Core Business. By outsourcing the technical build, founders and CEOs can concentrate on product strategy, sales, and customer needs. Experts, including Harvard Business Review, say that outsourcing should not just be seen as a way to save money, but also as a way to help a business grow. According to a recent study by McKinsey, about 70% of major digital changes do not work out without the right support. Partner expertise can help avoid these problems.

✔️ Speed to Market. Time-to-value is critical, especially for startups. A specialist SaaS vendor can often spin up expert teams quickly. Agile outsourcing teams can work simultaneously with internal staff, which speeds up delivery.

By 2026, these factors will have made it common for both small and large businesses to outsource SaaS development. Companies can save money and gain expert help by outsourcing. It gives them access to specialized skills and knowledge at a lower cost than hiring people to do the work themselves.

SAAS EXPERTISE NEEDED BY INDUSTRY (2026)

Different industries will require different types of SaaS skills. We discuss five main areas and the skills needed for each one.

✔️ Healthcare SaaS. Data privacy and compliance must be top priorities for cloud-based healthcare solutions. Vendors must be familiar with HIPAA (in the US), GDPR (in Europe), and healthcare data standards such as HL7 and FHIR, in order to connect to electronic health records. Some of the most popular SaaS applications in the healthcare industry are telemedicine platforms, EHR/EMR systems, patient portals, and medical analytics. Engineers must protect personally identifiable health information (PHI) and often use algorithms to help with diagnosis or clinical decision-making. Changes to the rules occur frequently, such as new regulations regarding payment for telehealth or data sharing after 2025. This means that outsourced teams need to stay up to date. The digital healthcare market is huge and getting bigger. By 2026, AI-based diagnostics, such as imaging and genomics, will become common. Important skills include cloud security, cryptography, AI and machine learning for health data, interoperability (APIs), and designing clinical workflows.

✔️ eLearning/EdTech SaaS. Online learning resources continue to be in high demand. The global eLearning market was expected to be worth $350–375 billion by the end of the previous year, thanks to corporate training and online courses. Companies and schools are investing in Learning Management Systems (LMS), virtual classrooms, employee training portals, and platforms for creating content. Video streaming that can be scaled, interactive content engines like quizzes and simulations, and dashboards that show how well things are going are some of the most important technical needs. Most Learning Management System (LMS) solutions are based in the cloud, and a growing number (about 55-60%) are SaaS platforms. A survey found that 77% of businesses now offer online learning programs. More and more modern eLearning apps use AI-driven personalization, such as adaptive learning paths and chatbots as tutors, and analytics to keep track of how engaged users are. Important skills include delivering multimedia content, ensuring that websites and mobile devices work well together, using data analytics to track learning metrics, integrating APIs (like HR or CRM systems), and creating gamification frameworks.

✔️ Insurance/Insurtech SaaS. The insurance industry is undergoing a digital transformation, with SaaS platforms for tasks such as underwriting, processing claims, managing policies, telematics, and risk modeling. Strict insurance standards, such as risk-based capital restrictions and Solvency II in the EU, as well as privacy laws, must be followed by vendors. Two technologies that are widely utilized in contemporary insurance applications to identify fraud and determine rates are artificial intelligence (AI) and machine learning (ML). IoT connectivity, such as vehicle telematics or home sensors, can also be used to obtain real-time risk data. Experienced SaaS vendors can help by providing subscription-based solutions that are hosted in the cloud and work with existing workflows and rules. For instance, modern SaaS CRMs and data platforms make it easy for carriers to quickly create new customer portals or analytics engines. Some of the most important skills required are knowing how the insurance business works, including underwriting and claims processing, following the rules, keeping personal and financial information safe, using AI and analytics to determine risk, and integrating with old insurance systems.

Because each industry has its own rules and regulations (for example, HIPAA for healthcare, PSD2 for finance, regulatory filings for insurance, and functional safety for automotive), the right outsourcing partner must have extensive knowledge of that field. Gartner analysts advise that companies should ensure their providers can meet their specific needs. For instance, if you choose a SaaS vendor that specializes in healthcare for a medtech app, you can be certain that they are familiar with the rules regarding patient data. On the other hand, if you choose a fintech expert, they will be knowledgeable about SWIFT/bank APIs and anti-fraud algorithms.

CUSTOM SAAS DEVELOPMENT SERVICES OUTSOURCING: HOW TOP VENDORS DO MORE FOR THE SAME BUDGET

One important reason to outsource in 2026 is that it will make vendors more productive. Top service providers aren't just hiring more people; they're also using the latest tools and methods to get more done:

✔️ AI and Platforms for Automation. For accelerating software development, the most professional teams are leveraging artificial intelligence, low-code platforms, and automated testing to eliminate repetitive tasks. According to StackOverflow’s 2025 developer survey, over 84% of professional developers now use AI tools regularly – many through their employers or outsourcing firms. In just two years, the share of traditional human-based outsourcing in service delivery is expected to decline by 18% (from 55% to 37%), while the share of AI and automation platforms is expected to double (from 14% to 30%). Research by Gartner and McKinsey found that programming tools that use AI made data scientists about 32% more productive and full-stack developers about 27% more productive. This means that vendors can expand functionality for each developer without increasing the client's budget.

✔️ Outcome-Based Engagements. The approach whereby a client pays a vendor only for the hours worked is outdated. Progressive vendors now tie payment to specific milestones or deliverables. A Deloitte global outsourcing study found that more and more modern deals focus on quality and value rather than volume. For instance, contracts set payments based on business results, such as how quickly new features are released and how long the system remains up. This focus on results motivates vendors to use best practices to achieve goals within budget.

✔️ Deep Domain Talent. Vendors invest in training and hiring experts (e.g. cloud architects, AI engineers, compliance specialists) relevant to each client’s industry. Having experienced professionals on staff means that an in-house team will not have to learn as much, which means you get more work done for less money. McKinsey's research on transformations shows that having the right experts involved is very important. However, most transformations fail because companies do not have the right skills. Outsourcers lower this risk by providing teams with people from different fields.

✔️ Lean Collaboration and Tools. The best teams use robust collaboration processes, such as distributed agile methodology, continuous integration, and shared dashboards. This helps them minimize downtime. For example, global teams can work across overlapping time zones, so development cycles run virtually around the clock. They also employ automated monitoring and project management systems to catch issues early.

✔️ Use of Cloud Services. Outsourcing companies that have been around for a while do not have to start from scratch. They do not need to start from scratch every time they want to add basic features. Instead, they use cloud services and reusable components that are already available, and have been thoroughly tested to work. For instance, most modern cloud platforms already offer services for things like logging in and authenticating users, storing and backing up data, analyzing and generating reports, processing payments and subscriptions, and keeping an eye on system performance. Instead of spending weeks or months building these features themselves, seasoned vendors simply connect your product to these cloud services. This cuts down on bugs and security problems and saves a lot of time.

✔️ Taking Advantage of Reusable Code. The same idea applies to how they structure the software. Experienced vendors create libraries of reusable code. These can include things such as standard systems for managing users and granting them permissions, billing and invoicing modules, dashboards and reporting systems, and notification systems (email, SMS, and in-app alerts). The team has already developed, tested, and improved these components on a number of projects, so they can use them again instead of making them from scratch. This cuts development costs by a lot compared to building everything from the ground up.

Overall, the best outsourcing companies are setting themselves apart by their technology, not just the size of their teams. A recent study by KPMG found that the platforms and built-in automation of providers, rather than the size of their teams, are what make them stand out. These features enable AI-enabled efficiencies on a large scale. In short, clients get more for their money. This means that for startup founders and CTOs with set budgets, outsourcing can provide them with a wider range of deliverables, including more code, features, QA, and improvements, than hiring someone in-house for the same price.

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