We set up dedicated development teams in Bangalore, India, that operate as an extension of your company, on your tools, your processes, and your way of working.
We’ve been doing this since 2014, building 130+ offshore tech and data teams for companies like yours, from a handful of engineers to innovation hubs.
We find the best Python developers based on your unique needs, and the final hiring call is always yours. Once on board, they work only for you, never juggling other companies.
Tap into Bangalore’s pool of 2M+ engineers to hire senior, AI-capable Python developers whose skills are scarce back home, including people who already know your industry.
Your senior Python developers absorb your business context fast, integrate with your workflows, and deliver outcomes that leadership can act on.
With outsourcing, Python developers are treated as short-term resources bolted onto your team. We take the opposite approach: the offshore developers we source and hire are fully invested in your business.
Python developers are dedicated to you full-time. They use your tools, follow the same processes as your team back home, and report to you.
The same Python developer is usually spread across several clients, and the agency can move them off your work whenever its priorities shift.
They integrate seamlessly into your business culture, adopting your company’s DNA from week one. The offshore developers you hire feel “in-house.”
The agency owns the relationship and keeps you at arm’s length, with developers reporting to its project manager instead of directly to you. Little to no real integration.
Our attrition rate is 11%, compared with a market norm of 30-35%. Developers stay because we invest time and effort in keeping them happy and motivated.
Churn is constant. Agencies shuffle people between accounts, and devs chase better-paid roles. Every replacement means weeks of ramp-up and no context.
One flat monthly fee covers the lot, salaries, health insurance, HR, recruitment, administration, and account management, with nothing billed separately.
Usually priced per hour or per project, with a hidden margin stacked on each developer’s cost and extra fees that tend to appear as work goes on.
Python developers are dedicated to you full-time. They use your tools, follow the same processes as your team back home, and report to you.
The same Python developer is usually spread across several clients, and the agency can move them off your work whenever its priorities shift.
They integrate seamlessly into your business culture, adopting your company’s DNA from week one. The offshore developers you hire feel “in-house.”
The agency owns the relationship and keeps you at arm’s length, with developers reporting to its project manager instead of directly to you. Little to no real integration.
Our attrition rate is 11%, compared with a market norm of 30-35%. Developers stay because we invest time and effort in keeping them happy and motivated.
Churn is constant. Agencies shuffle people between accounts, and devs chase better-paid roles. Every replacement means weeks of ramp-up and no context.
One flat monthly fee covers the lot, salaries, health insurance, HR, recruitment, administration, and account management, with nothing billed separately.
Usually priced per hour or per project, with a hidden margin stacked on each developer’s cost and extra fees that tend to appear as work goes on.
Hiring offshore Python developers is usually a signal that your product or engineering needs have outgrown your current in-house capacity or the local hiring market.
The scenarios below outline the most common situations in which companies decide to hire Python developers.
Turning an idea into a working product means building backend logic, APIs, and integrations from scratch, and how fast you ship often decides whether you hit your market window first.
At that stage, companies need dedicated ownership of the build and the long-term product roadmap, not contractors who hand off and disappear.
The setup that ran fine at launch starts to slow under heavier traffic, synchronous I/O blocks the event loop, queries pile up, and what should be a 200ms response becomes a timeout.
Without dedicated backend ownership, performance fixes get patched in piecemeal across teams, leading to brittle code, recurring outages, and unpredictable releases.
Python is the dominant language for ML/AI development, from training scripts and notebooks to production APIs and orchestration.
Most AI projects stall at the engineering layer ( integrations, infrastructure, production code), not at the modelling itself.
Manual workflows quietly drain engineering and operations time every week.
Tasks such as data processing, report generation, file handling, and third-party syncs are exactly what Python scripting was built to automate, running reliably on schedule and freeing your team for higher-value work.
Each new tool you adopt is another system that has to share data.
Payment providers, CRMs, internal tools, and third-party APIs all use different formats, and without a clear owner, the integrations become fragile, undocumented glue code that breaks whenever something upstream changes.
Many organisations still run on legacy applications built around older Python versions, custom scripts, or undocumented monoliths.
Modernising these systems requires an understanding of both legacy code and modern Python tooling, FastAPI, async frameworks, and containerised deployment.
Offshore Python developers build the server-side logic that powers your applications. They design and maintain the systems, APIs, and integrations that move data and run your product at scale, so your team can focus on shipping.
Build server-side applications using frameworks like Django, Flask, or FastAPI. Create the business logic that connects your frontend, mobile apps, and external services, structure the codebase for maintainability, and keep the application fast and reliable as it grows.
Design and build RESTful APIs that are secure, well-documented, and easy to integrate. Handle authentication, data validation, rate limiting, and versioning, and make sure each endpoint is reliable enough for your products and third parties to build on.
Connect your applications to relational databases like PostgreSQL and MySQL, or NoSQL options like MongoDB. Manage data persistence with ORMs like SQLAlchemy or Django ORM, optimise queries, and design schemas that stay reliable as your data grows.
Write scripts that automate repetitive tasks, from data processing to system administration and reporting. Build internal tools and scheduled jobs that reduce manual work, cut human error, and free up your team to focus on higher-value problems instead of busywork.
Work with libraries like Pandas and NumPy to clean, transform, and analyse data at scale. Build the pipelines that feed information into dashboards, reports, and machine learning models, and keep the logic consistent across teams.
Tie together disparate systems, APIs, and data sources into one coherent flow. Python excels as the connective tissue between legacy platforms, third-party tools, and modern applications, moving data reliably and keeping each integration documented and easy to maintain.
Lay the Python groundwork AI and ML features need to run in production. Stand up model-serving APIs, integrate with MLOps platforms like SageMaker, Vertex AI, or Azure ML, manage training-data pipelines, and keep your models fed with clean, reliable data.
If you decide to hire Python developers through offshoring, you’ll enjoy a handful of benefits you wouldn’t be able to leverage by building a team locally or via other hiring models such as outsourcing or nearshoring.
Cut costs by 30-40% without sacrificing quality. For the price of 3 Python developers in the UK (~£150k), you can hire 7 in Bangalore with the same capabilities.
Hire Python developers with the skills you need: Django, Flask, FastAPI, RESTful APIs, PostgreSQL, MySQL, MongoDB, Pandas, NumPy, Docker, Kubernetes, AWS, and more.
Scale your team as your business grows. Add Python developers when priorities shift, when you’re building a new product, or when you need to move faster.
Time zone differences can be an operational advantage. When your US or European team logs off, your offshore team picks up, implements, tests, and pushes updates.
Perhaps you’re planning to extend your team with offshore Python developers or set up an offshore development centre. Either way, you need a structured plan to do it successfully. The three steps below will help you find the right talent, especially if it’s your first time offshoring.
Start with the work itself. It might be a brand-new product or a fix to something you already run, mostly backend and APIs or more about automation and data. And be honest about scale, the users, the traffic, and the data it has to handle.
Then the people. How many developers you need, how senior they should be, the frameworks and cloud they’ll work in (Django, FastAPI, AWS), and whether they need to know your industry, like FinTech or e-commerce.
The right offshore development partner is your trusted advisor wherever you decide to hire Python talent.
For example, if you want to start building a team in India, your partner will assist you in sourcing, hiring, and onboarding the best candidates and in setting up operations in the country. They’ll take care of all the heavy lifting: HR, legal, administrative tasks, equipment, infrastructure.
A reliable partner must check all these boxes:
Evaluating offshore development companies following these parameters will get you closer to finding the Python developers you’re looking for and signing a partnership agreement that can span multiple years.
The moment has come. You’ve already made your decision and are moving forward with what is set to be a successful, long-term offshore partnership.
Before signing on the dotted line, ensure everything’s in place:
After signing the contract of collaboration, your partner will kick off the recruitment process and in a 45-60 days you should be working with your first dedicated offshore Python developers!
Bangalore is known as ‘The Silicon Valley of Asia’ and has become an ideal IT offshoring destination for companies seeking the right Python developers.
Bangalore has the largest concentration of tech talent in India. Over 2 million software developers live and work here, with 90,000 new engineering graduates joining every year.
Over 40% of India’s 1,750+ GCCs are in Bangalore, employing 800,000+ professionals. Tech giants like Amazon, Google, and Microsoft run major operations here.
The Python development talent pool runs deep. You can find specialists with experience in your tech stack and industry, even if it’s a niche.
2,363 startups, 32 active unicorns, ranked #10 globally. Engineers here have built large-scale data systems for Flipkart, Ola, and Swiggy, managing billions of daily transactions.
Indian time is GMT+5:30 with no daylight saving time variations. This provides at least six hours of daily overlap with most global locations.
Hiring Python developers in Bangalore costs significantly less than the same role in the US or Western Europe.
Here are some examples of Python development teams we’ve built in Bangalore for industry leaders.
We helped Preqin build a 450+ person engineering centre in Bangalore, including Python developers who contributed to the launch of Preqin Pro, their flagship product.
We set up a 50-person R&D centre in Bangalore for PEI, with Python as part of its tech stack. The team shipped 2 revenue-generating products in year one.
You choose the engineers and how you want to build your team. We handle everything else: recruitment, onboarding, HR, payroll, office administration, engagement, and more. Here’s how it works.
You choose the engineers and how you want to build your team. We handle everything else: recruitment, onboarding, HR, payroll, office administration, engagement, and more. Here’s how it works.
Whatever role or technology you’re looking for, we hire only the best with our rigorous 7-step recruitment process.
Your new team will have a dedicated workspace, and we’ll handle everything for you on the ground: HR, payroll, compliance, and security, so you can focus on your work.
We make sure your engineers feel valued, supported, and genuinely connected to your company, which results in higher engagement, stronger performance, and long-term retention.
Read our latest articles and guides on Python development, plus our leadership’s perspective on where the industry (and offshoring) are headed.
The questions CTOs and other business leaders ask us most often when hiring Python developers.
You can hire Python developers via outsourcing, nearshoring, or offshoring. However, if you are looking to hire professionals who stay for the long term and are invested in your product’s success, offshoring is the hiring and engagement model that will best suit your needs.
We are market and vertical-agnostic. We have experience working across many sectors, including regulated sectors such as finance.
The final cost of hiring a Python programmer depends on several factors, such as the location and the hiring and engagement model you use. Hiring a Python programmer in the US can cost up to $170,000/year (just in salaries). Companies that go offshore report savings of 25-40% in total cost per engineer.
Beyond location, four factors determine the final cost:
At The Scalers, we use a 7-step recruitment process to find the best Python developers for your team:
With the right model and offshore partner, integrating Python developers into your local team is quite fast and easy, and starts from the moment your new engineers are onboarded. At The Scalers, we provide our partners with everything they need to make their developers feel comfortable from day one, including support from a dedicated Chief Happiness Officer, responsible for the team’s well-being and keeping people happy and motivated daily.
If you hire Python developers through offshoring, they won’t work in your time zone. However, this is an added benefit: you get extended development coverage, as your offshore engineers will continue working after your UK or US team logs off.
No, we don’t provide software or apps, as your Python developers will use the same tools you use back home. However, we provide all the equipment your teams need to work, including laptops and monitors.
Yes. Every Python developer we hire at The Scalers works exclusively for your company. They work in your tools, follow your sprint cadence, and report into your management structure exactly like an in-house hire would.
You do, completely. All code, scripts, libraries, and documentation your Python team produces belong to you. We sign NDAs and IP assignment agreements as standard before any work begins, and your engineers commit directly to your repositories under your infrastructure.
We’re ISO 27001 certified by TÜV SÜD, with information security built into how we operate. Every employee passes a background check and signs a comprehensive NDA before joining, and our Bangalore office runs 24/7 security guards, CCTV coverage, and card-based access control across all common areas. On the digital side, your data engineers work inside your security perimeter (your VPN, your SSO, your access controls, your audit logs), and our IT team can extend or replicate any additional measures you need, disabled USB ports, custom software provisioning, dedicated connections, tokenised VPNs, 802.1X-authenticated WiFi. We’ve never had a data breach in 10+ years of operation, and we continuously review our systems and processes.
At The Scalers, we have a structured procedure for such cases. If you’re not happy with an engineer, our People & Culture team will initiate a PIP (Performance Improvement Process). When starting a PIP, we will prepare a document with clear goals for the individual to meet within 30 days. If the engineer achieves those goals, they remain on the team. If not, termination of their employment is the next step, and we’ll kick off a new recruitment process.
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