Hire Python Developers

Python is one of those programming languages that is being used by companies globally, across multiple industries, for developing user-friendly and dynamic solutions. Since Python is in high demand, so are Python developers.

If you are a Growth-Stage Startup or Building a software product from scratch, you will need to hire Python developers with the right skills, experience, and proficiency. Trying to select the best fit for your Python development project may be a time-taking and daunting task. That’s why Supersourcing is here to help you.

Experienced Python Developers

When you are building a Unicorn startup or Digitalizing Enterprise product, you can’t rely on inexperienced junior developers. All our engineers are certified and verified by multiple checks, and only 3% of people could crack our interview process.

Supersourcing features experienced Python developers who have worked on complex projects developing software, websites, apps, and more using Python, along with relevant industry experience to work on your project. You don’t have to worry about training them on the job- they already know what they need to do!

Immediate Availability

A lot of people take offer letters and join other companies during 60 days notice period, but you don't have to deal with that anymore.

Supersourcing offers immediately available python developers - no waiting around for weeks or months!

Hiring 1-10 developers takes less than three days.

No Freelancers

Freelancers are good for content, logo design, and one-time temporary work. But for anything which requires in-depth involvement and collaboration, it’s very risky to rely on freelancers. Upwork is filled with negative reviews everywhere.

At Supersourcing, we only work with full-time developers, not freelancers. Supersourcing provides you Python developers for hire that are dedicated solely to your project, which means they will be able to devote their full attention to it. Plus, after six months of trial, you can hire them on a full-time contract if needed without any hassle.

Try before you buy.

Certified & Verified Engineers

There are so many hiring platforms with a surprisingly large talent pool, but when it comes to expertise and performance, the developers fail miserably after being hired. Why? Because some candidates may be good at cracking interviews, but not good at actual programming.

Some might be good at cracking interviews but not actually doing right At Supersourcing, all our Python developers are certified and verified by multiple checks, and only 3% of applicants could crack our interview process. We have 700+ Positive reviews, 99% customer satisfaction, and 95% of business comes from repeat customers, which clearly speaks of our quality.

We collect all the data points required for you to take the right decision to hire a Python developer:

• Industry Experience:

  We find out which industries they have worked for, for example, Fintech, Healthcare, Loan management, Dating, SaaS, IoT, etc. Someone who has worked on projects in your industry in the past is more qualified and suited for your project, right?

• Project Stage:

  We ask the developer about the product stages they have worked on, Idea Stage, Growth stage, Multi-location Expansion, PMF stage. This helps us know the depth of their experience.

• Reporting to Whom:

  We ask questions about who they have been reporting to in their previous roles- client, CTO, Sr. Engineer, or others. Someone reporting to CTO seems more experienced and proficient as compared to someone reporting to a Sr. engineer.

• Contribution:

  We also try to find out their pattern of work- whether they were just completing assigned tasks, or also collaborating on product ideas, or designing architecture. This gives us a better understanding of their quality of work and what kind of role they will fit in best.

Detailed Profiles

Usually, all you can rely on is the same old resume format that has the candidate’s skills, education, and experience printed on paper or typed in a PDF. But is that enough to find the right Python developer? Absolutely Not!

Each Supersourcing developer comes with a Digital Resume that includes their tech skills, project experience, assessment scores, and an intro video so you can better understand the developer before making any hiring decisions.

Our goal is to enable hiring developers without interviews. We are creating detailed profiles highlighting the results of all pre vetted interviews, past work, and quality scores to ensure you don’t waste time interviewing.

24*7 Human Support, No Bot!

Hiring and onboarding are just one part, but what if you need any support? Every service provider in the industry is offering ticket-based support or bot support. But when you are in urgent need of help, you need somebody to talk to immediately, instead of waiting days for a reply back. We all know how much we hate waiting around when the work at hand is urgent!

It’s time to talk to Real People when you need help. When you hire Python developers from Supersourcing, you will be assigned a dedicated account manager who is specifically experienced in handling big accounts in your technology and industry. Hence, we can safely say, we’re the best in customer support.

Why hire python developers from Supersourcing?

While our AI-based platform matches top engineers that fit your technical requirements, our expert vetting team goes deeper into individual profiles to understand whether the candidate fits your company culture and values. We only send you personalised recommendations and options to ensure long-term engagement.

While team Supersourcing takes care of all the hiring processes in the background getting your work done, you can pick and hire a Python developer that suits your requirements the best.

Quality Code

Often companies face problems when a developer works on a project and suddenly leaves in the middle of it. When you hire a new Python developer to work on the same project, they may not be able to understand the previous code and they may have to begin coding from scratch.

To solve this roadblock, we follow a standard coding practice recommended by top architects, so that even a new developer can start working from where the previous developer left off.

Our aim is to build long-term relationships. We’re not here for quick money. Our Python Developers are great at maintaining code quality, making sure that the code is well-documented, readable, and easy to understand. They also make sure that the code is not redundant and does not contain any bugs by using tools and techniques such as unit testing, static analysis, code coverage, and more.

Scalable Solution Architecture

When your business expands, you will need to scale up your architecture as well. If your developer does not maintain a scalable architecture for your solution, catering to your expanding business needs may become difficult. You can lose out on time and money.

But with Supersourcing, you never have to be afraid of growing anymore.

When you hire Python developers from Supersourcing you get developers proficient at multithreading and building scalable solution architecture. This helps them deliver python applications and solutions that have the potential to manage expanded business needs at any given time.

Microservices Architecture

Supersourcing features Python developer profiles who have extensive experience in working with microservices architecture in Python code development, making app upgrades faster and more cost-effective.

AI & ML-Based Application Development

If you want to hire Python developers for developing AI and ML-based applications, Supersourcing features developer profiles with experience in Pandas, Scikit-learn, Keras, NumPy, TensorFlow, PyBrain, and more. They also come with an understanding of NLP, RPA, and Deep Learning technologies as well.

Benefits of Microservices Architecture

The problem with outdated application architectures is that if you need to make one small change in your application, it can affect the performance of the entire application and cause disruption for the users. The solution? Microservices Architecture. Python developers at Supersourcing are efficient in working with the microservices architecture.

It allows developers to reduce downtime and improve scalability. Implementing changes is faster, while performance is at its best!

Better Productivity

Productivity is often a concern for businesses working with remote teams. Problems such as delayed deadlines, inefficient collaboration, and lack of coordination keep compromising development time and product quality.

To make sure you don’t face such problems, Supersourcing developers implement the microservices architecture. By breaking down an entire application into smaller individual fragments, our developers can develop, deploy, test, and update each service individually.

This makes it easier for your teams to work on different parts of the project without getting in each other’s way and allows for faster development cycles.

Reduced Downtime

Trying to make changes to your application in the middle of the development process may lead to downtime if not done right.

Yet again, that’s not a problem you have to face when you hire Python developers from Supersourcing. In the microservices architecture, bug isolation does not allow a single bug to affect the performance of the larger application.

Supersourcing developers can roll out incremental changes, reducing the risk of downtime due to any unexpected failure or bug in the system.

Improved Scalability

Often freelancers or inexperienced developers may deliver an application that you cannot scale when your business and customer base grows. You may have to spend money to build a new solution from scratch again.

Supersourcing Python developers build scalable applications using the microservices architecture and sticking to a modular design.

Your developers won’t need to refactor the entire codebase or rebuild the application. They can simply add new features or swap out outdated features without replacing the whole system.

Seamless Changes

If you have already launched your application to your users, making a change to your application can take time and disrupt the user experience when built with a monolithic architecture.

With the microservices architecture, each service is separate from one another. Making one change does not affect the performance of the application as a whole which ensures uninterrupted service delivery for customers even when changes are being made in real time.

Continuous Integration & Delivery

The DevOps philosophy and Agile development approach rely on two pillars- Continuous Integration (CI) and Continuous Delivery (CD).

CI/CD pipelines allow Supersourcing developers to build your software quickly in short cycles.

Hence quality standards remain consistent throughout production cycles so that releases live up to customer expectations.

Supersourcing Vs Freelancers Vs Other Providers

Hire Remote Python Developers in 5 Steps

JD & Requirements

The first step when looking to hire a remote Python developer is to share your exact requirement and job description.

This should include all relevant technical skills, soft skills, industry experience, project experience, and personality traits that you are looking for in a potential candidate.

By being thorough with your requirements, you can ensure that you hire the best Python developer for your project and company needs.

Find the Best Matches

Once we have received your requirements and job description, we will review them carefully to find the best matches from our pool of 100+ pre-vetted Python developers.

From this group of applicants, we will then send you 5 profiles that perfectly fit your needs.

All of these developers are available full-time immediately on contract. You can review their profiles before deciding who is right for your project.

Interviews

Our team of experts will take the time to search through our database of top-notch Python developers to create a list of five potential candidates.

All profiles shared by us are thoroughly vetted and reviewed before being handed over to you. This helps save your time and energy, as you don’t have to sift through hundreds of resumes or applications.

Before sharing any profile with you, our team conducts a detailed verification process which includes reference checks, background checks, code tests, etc., so that only the most qualified candidates make it onto the shortlist we share with you.

We also provide ratings based on feedback from previous employers and projects worked upon. This helps you make an informed decision and decide which candidates you want to interview.

You’re all set!

Your developer is now ready to get started with your project. You successfully hired the best remote developer for you within just a week, and Supersourcing will make sure that everything can go smoothly from here onwards.

JD for Python Developer

Supersourcing Python developers have worked on various projects over the years that showcase their expertise in this field.

For instance, our developers recently conducted an overhaul of our website's backend codebase which resulted in increased page loading speeds by over 37%. Our developers were able to build a secure authentication system that required minimal effort from users while still providing maximum protection against malicious attacks.

We also implemented an AI-based solution that allowed us to automate much of our customer service workflows which led to faster response times and improved customer satisfaction levels overall.

The first step to hire the best Python developers from Supersourcing would be to curate a requirement-specific job description for the Python Developer role you’re looking to fill.

You will need to mention and describe all the requirements and expectations that you want in your ideal candidate. Here’s what a Python developer JD ideally looks like

Python Developer Profile Summary

We are looking to hire a Python developer who is proactively involved with the latest developments in web technologies and best practices. The professional will be responsible for overseeing and managing data exchange between the server and the users.

Your job will be to focus on developing high-performing, responsive logic for requests from the front end. You will need to integrate the front-end components made by front-end developers in your team, into the application. Hence, a basic knowledge of front-end technologies is needed too.

The ideal candidate should have extensive experience in programming with Python, as well as working knowledge of HTML, CSS, JavaScript, and other web development frameworks. They should have strong problem-solving abilities and be self-motivated to tackle complex tasks on their own. Experience with DevOps tools such as Ansible is also highly preferred.

Examples of Recent Work Done by Python Developers

As part of this role, the Python developer will be responsible for developing low-footprint applications that are reliable, secure, operable, and supportable. They will be required to debug existing codebases and create new frameworks from scratch while ensuring that any changes made result in improved performance on web applications.

The developer will also need to provide internal support by responding to customer inquiries or issues quickly and professionally. In addition to these duties, they must stay calm under pressure and maintain agility when dealing with time-sensitive tasks or incidents.

To get an even better understanding of what this role entails, let’s take a look at some real examples of recent work done by Python Developers hired from Supersourcing:

• Developed an application using python libraries such as NumPy and SciPy
• Developed web applications using popular frameworks such as Django or Flask
• Created database objects such as tables or views with PostgreSQL
• Implemented user authentication features with modules like Passport.js
• Optimized existing database queries for improved performance
• Developed automated unit tests using tools like Pytest
• Built reusable components with ReactJS or VueJS
• Deployed applications on cloud platforms like Heroku or AWS
• Troubleshoot application issues related to scalability or security concerns

Create the Perfect Python Developer JD in 5 Simple Steps

For any project to be successful, it is essential to create a clear list of objectives and technical requirements. Doing so ensures that everyone involved in the project knows what expectations are needed for success.

It also gives you the ability to clearly outline your vision, goals, and budget for potential hires.

Let’s take a look at some tips to help you define your project’s objectives and technical requirements.

1. Outline Your Vision & Business Goals:

Your vision should align with the company's mission statement and values. This will provide the candidate with an understanding of what the expected outcomes are for each goal.

Business goals should be specific and measurable so that progress can be tracked over time. Goals can include things like increasing sales or improving customer satisfaction.

2. List Actions Your Team Should Take:

When outlining your team's actions, it is important to be as detailed as possible. Mention how you set a timeline for each task, delegate responsibilities, and make sure that each team member understands their role in the process.

This will help the candidates understand the importance of ensuring deadlines and why you want them met on time.

3. Set Milestones For Each Goal:

Setting milestones helps keep teams accountable by providing short-term goals that need to be achieved throughout the course of a project. These milestones should also be specific and measurable so that progress can be tracked over time.

For example, if one of your goals is to increase sales by 10%, then setting monthly milestones will help ensure that this goal is being met in increments rather than all at once at the end of the project timeline.

4. Identify Your Target Market:

Knowing who you are trying to reach is essential when defining objectives and technical requirements for a project. Mention your target market and your project scope.

Consider factors like age group, gender, location, interests, etc., when crafting content specifically for them as these details will help you create a more personalized job description for better results overall.

5. Define Technical Requirements:

The technical requirements for any given project depend on its scope and complexity.

Technical requirements could include software applications needed or hardware specifications required for tasks or operations to run smoothly during the production or development stages of a project life cycle.

Consider adding any scalability strategies which may need to be implemented for project goals to meet projected growth patterns over time.

Python Developer Responsibilities

• Writing simple, efficient, testable, scalable, and reusable code
• Designing & implementing high-performance applications with low latency
• Integrating user-oriented elements developed by front-end developers with the server side
• Testing applications using Python test frameworks such as Pytest, Behave, PyUnit, and more
• Implementing data security measures and data storage solutions
• Tuning application performance & automate application
• Suggesting efficient online tools to monitor online traffic
• Developing predictive models for AI and ML-based applications

Python Developer Skills & Qualifications

• Popular Python Frameworks- Django, Flask, etc.
• Web Frameworks
• RESTful APIs
• Core Python Fundamentals & Coding
• Code Packaging, Release, & Deployment
• Knowledge of Database
• Circles, Conditional & Control Statements
• Object-Relational Mapping
• Server-side Languages
• Code Versioning Tools- Git, SVN, etc
• Front-end technologies- JS, CSS3, & HTML5
• Data Visualization, Statistics, Data Analytics
• Multi-Process Architecture
• Testing & Debugging Capabilities with tools like Selenium
• Degree In Computer Science, Engineering, or any related field
• Prior Experience as a Python Developer

Technical questions to ask a python developer

To select the right fit for your Python development project, here are a few examples of the questions you should ask a Python developer to determine their skills and proficiency:

General Python Development Questions

• What constitutes a good unit test?
• What do you know about the core principles of a REST API?
• What is the difference between REST API & RPC?
• What is the reason behind functions being identified as first-class objects in Python?
• Cite an example of filter and reduce over an iterable object.
• Describe the list and dict comprehensions.
• Does python use real threads?
• How do you manage memory in Python?
• How is a Shallow Copy different from a Deep Copy?
• How is multithreading achieved when working with Python?
• How can you generate random numbers in Python?
• What is the function of the ‘is’ operator?
• Describe the importance of the Pass Statement.
• Describe the process of Merging Elements in a Sequence.
• Differentiate between Del and Remove() on Lists.
• What do you mean by Docstring in Python?
• Is Python Object-oriented or Functional Programming?
• What will be the output of Print(_name_)? Give reasons to justify your answer
• Differentiate between Matrices & Arrays in Python.
• How will you Import a Decision Tree Classifier in Sklearn?
• Describe the right way to Copy Objects in Python.

ML Design Questions

• How will you build a Multi-Label model using the Multi-Lable Design Pattern?
• Differentiate between the ‘Transform’ and “Feature Store’ Design Patterns.
• Are there any benefits to ‘Overfitting’? Justify your answer.
• Cite an example of a situation where you would use the ‘Two-Phase Predictions’ Design Pattern.
• What is the purpose of ‘Sequential Split’ of Data?
• What problems does the ‘Neutral Class Design Pattern’ solve in Machine Learning?
• In ‘Transfer Learning’ when do you need to use ‘’Fine Tuning’ and ‘Feature Extraction’?
• Explain the use of the Windowed Inference Design Pattern
• Can you split data randomly into the datasets of ‘Training’, ‘Validation, & ‘Test’?
• What are the drawbacks of using ‘Early Stopping’? Justify your answer.

Python Web Development Questions

• Write a function with which you can randomize the items in a given ‘List-in-Place.
• What’s the difference between Java and Python in terms of ‘Exception Handling’?
• What are the different methods you can use to copy an ‘Object’ in Python?
• Mention the code you will use to check whether an ‘Object’ belongs to a ‘Class’ or a ‘Subclass’
• What is the benefit of ‘Namespace’ in Python?
• List and explain the built-in types provided by Python.
• How is Python ‘Interpreted’?
• Explain how you can build a website in Python in 3-5 simple steps.
• How can you transform a Python ‘String’ into a ‘List’? Explain all the methods you can use.
• List and explain the rules to follow when working with ‘Global’ and ‘Local’ variables in Python

Top 10 Global Companies using Python & Why?

Python is one of the most popular programming languages in the world, and for good reason. It’s easy to learn and use, offers great performance and has a wide variety of libraries that can be used to solve complex problems.

As such, many top global companies are investing in Python developers to help them build their products faster and more efficiently. Let's take a look at some of these companies and why they hire Python developers.

Uber

Uber engineers use Python to quickly create features that improve the customer experience while also reducing costs associated with development and maintenance. This allows them to stay ahead of the competition while delivering high-quality services to their customers.

Goldman Sachs

Goldman Sachs is another big name in finance that uses Python as its primary programming language. Because it’s so easy to learn and use, Goldman Sachs is able to quickly develop new features for its financial products while also keeping costs low.

Netflix

Netflix engineers have praised the ease of using Python’s standard library as well as the rich variety of third-party libraries available for nearly any given task. Because it’s so easy to develop with Python, it has become an integral part of Netflix’s infrastructure.

Facebook

Facebook uses Python to power their backend services as well as their mobile applications. It is also used to build out APIs and manage large data sets.

Facebook loves Python because the ease of using its libraries means that production engineers don’t have to write or maintain as much code, freeing them to focus on getting improvements live. Also, it ensures that Facebook’s infrastructure scales efficiently.

Google

Google has been using Python since 2006 when they launched Google App Engine (GAE). GAE was Google's first cloud computing platform which allowed developers to deploy applications written in various languages including Java and Go but with an emphasis on utilizing Python.

Since then Google has continued to make use of Python across many departments. From engineering to finance and marketing, it is used for automating tasks like website crawling. They also use it for financial analytics tasks such as risk management or pricing model development.

Spotify

From data analysis to back-end services, in order to keep everything running smoothly, Spotify relies heavily on Python. On the back end, there are a large number of services that all communicate over 0MQ, or ZeroMQ, an open-source networking library and framework written in both Python and C++.

To provide personalized recommendations for users, Spotify relies on a large volume of analytics data collected from user activities on the platform. To interpret these data points into meaningful insights that can be used by their algorithms, they use Luigi – a Python module designed specifically for this purpose.

Currently, Spotify uses over 6000 individual python processes as part of its stack across various nodes of its Hadoop cluster – all thanks to this powerful module!

Quora

The founders of Quora took their lead from Google, choosing to use Python where they could because of its ease of writing and readability, and implemented C++ for the performance-critical sections.Since they knew that Quora was going to involve server/client interactions that wouldn’t necessarily be full page loads, having Python and JS play so well together was a huge plus.

Quora’s decision to use both C++ and Python has resulted in one of the most successful platforms in recent history. They were able to leverage the strengths of both languages to create a platform that meets all their needs as well as those of their users.

Dropbox

Dropbox engineers are constantly working hard to make sure their technology runs smoothly and they are doing so by using Python.

Python is an ideal language for Dropbox’s engineers, as they need to write code that works across multiple platforms (Windows, Mac, Linux, iOS).

Besides powering the backend of their cloud-based storage system, Dropbox has also released an API coded in Python which allows developers to see how their engineers are thinking when coding.

Reddit

Python offers a wider range of code libraries and is more developmentally flexible compared to other coding languages.

Python allows developers to quickly create complex applications without having to spend too much time writing code from scratch. Due to its readability, debugging can be done faster.

It supports multiple programming paradigms such as object-oriented programming (OOP) and structured programming (SP), These capabilities are essential for Reddit, as it has grown from a simple discussion board into a complex platform with over 542 million monthly users and countless user-generated content.

PayPal

PayPal uses Python to help power its operations, owing to its scalability, robustness, and security. Paypal recognized the advantages of using Python and implemented it into their engineering process very early on.

They now leverage Python across their entire infrastructure. Paypal developers make use of Machine Learning & Data Science techniques such as TensorFlow, Scikit-learn, etc., which are all powered by Python for various data analysis tasks including fraud detection and risk management.

PayPal’s engineering team has been actively contributing back to the open source community by writing technical articles & tutorials about how they use Python in production systems – especially on Medium where one of the most shared articles on Python “10 Myths Of Enterprise Python” is credited to them!

Hire Python Developers for Multifaceted Roles

From web applications to scientific models, analytics, and other complicated calculations, Python developers have their hands full when working on projects. Let’s discuss the different roles you can hire Python developers for.

Data Scientist

The role of a data scientist is critical for any organization that seeks to leverage its data for decision-making or predictive analysis. Supersourcing provides Python Developers who can fit into this role perfectly.

Data scientists use scientific methods, processes, and algorithms to manage and manipulate structured and unstructured data to extract knowledge and provide insights. They come with a deep understanding of mathematical principles such as probability and statistics.

Our Python developers who specialize in this role can interpret complex data sets quickly and accurately. They have a strong understanding of both business problems and computer science concepts to identify and solve complex problems with data.

Software Engineer

You can hire software engineers who are experts in Python development and are responsible for the design, development, testing, debugging, documentation, deployment, and maintenance of software applications.

When you hire Python developers from Supersourcing, you get candidates with strong problem-solving skills, and an understanding of computer science fundamentals such as algorithms and data structures.

They are also proficient in writing code quickly and efficiently while ensuring that it is bug-free.

Web Developer

With specialization in Python, we have Python web developer profiles who are experts in writing server-side code using JavaScript or Ruby on Rails while developing RESTful APIs using frameworks like Flask or Django.

Supersorucing web developers have an eye for detail when designing user interfaces and dealing with cross-browser compatibility issues, helping you build a market-ready web solution.

ML Developer

Supersourcing features experienced and expert Machine learning (ML) developers who use Python's tools & frameworks such as sci-kit-learn & TensorFlow for rapid testing of sophisticated algorithms & machine learning models on large datasets quickly & effectively.

Our ML developers are familiar with concepts such as Artificial Intelligence (AI), Natural Language Processing (NLP), Neural Networks & Deep Learning.

They also come with a good understanding of mathematics & statistics so that they can devise effective ML algorithms that will be able to produce accurate results from huge datasets.

Q&A for Hiring a Remote Development Team

Do Remote Development Teams Have Lower Productivity?

Remote developers can often be more productive than in-house teams as they create their own schedules and can focus on tasks without being distracted by office politics. Research suggests that remote development teams report 77% more productivity than on-site teams due to improved communication, reduced stress levels, and higher morale.

Do Remote Teams Affect Team Spirit and Company Culture?

Having employees work remotely does not mean that there won’t be any team spirit or company culture. Smart communication and online collaboration tools can enable effective and seamless communication among teams while also allowing them to connect with each other through virtual meetings, video calls, or instant messaging. Companies should make sure these tools are available when they hire remote developers so the candidates feel connected despite working from different locations.

Do Remote Teams Compromise Data Security?

One of the main concerns when hiring a remote development team is data security. To ensure that confidential data isn’t leaked or misused, companies need to make sure all the members of the team are legally bound by strict NDAs (non-disclosure agreements). Companies should also invest in security infrastructure and enforce security hygiene practices like password management tools and two-factor authentication across all systems used by the remote development team.

What Are The Pros Of Hiring A Remote Development Team?

Hiring a remote development team comes with several benefits such as access to global talent, cost savings on office space rentals, increased flexibility in terms of scheduling, and improved productivity due to fewer distractions at work. Additionally, it helps build an inclusive workplace environment where everyone is given equal opportunities regardless of geographical location or time zone differences.

How to Maximize Post-Hiring Productivity of Remote Python Developers?

1. Understanding Duties & Responsibilities

It can take some time for both the employer and employee to understand each other’s duties and responsibilities. It is best to not expect too much from your remote developer in the first week of their employment as they may need more time to become familiar with your code.

2. Business Understanding

To ensure that your remote developers have a thorough understanding of your business, product/service, and goals, conduct induction sessions. Align them with the company’s values and mission and make them feel part of the team.

3. Share Documentation

Sharing documentation such as coding standards or any other technical writing needs to be done beforehand so that your remote developers have an idea of what is expected from them before they start work. This will also give them a better understanding of how the system works.

4. Appreciation Emails

Showing appreciation towards your employees can be a great way to motivate and inspire them. Sending gratitude emails or messages is a cost-effective way to do so, allowing managers to express their appreciation.

5. Suggestion Box

A suggestion box allows employees - including remote workers - to express their issues about the workplace discreetly without fear of repercussions or judgement from their peers or superiors. Allowing for anonymous feedback can help create an open environment where everyone feels comfortable expressing their opinion openly and honestly.

6. Internal Target

Setting internal targets slightly above what the team is capable of achieving can help motivate individuals into pushing themselves beyond what they think they are capable of accomplishing. Managers should set ambitious yet achievable goals that will challenge developers while also giving them the guidance and support needed.. Set Ground Rules Among Both Teams

The first step in managing remote workers is establishing ground rules between the two teams. This means setting up standards for communication and expectations from both parties.

Establishing the default timezone you’ll be using is especially important if you have multiple remote employees worldwide. This will help mitigate any potential problems with deadlines, meetings, or acceptable message times.

7. Regular Check-ins and Feedback Loops

It's important that all managers check in regularly with their remote workers to get an understanding of their progress, needs, and expectations.

Regular check-ins also give managers an opportunity to provide feedback on their performance or offer advice on how they can improve or grow within their roles.

These check-ins are invaluable tools for boosting morale and engagement levels among remote workers as they feel supported by their managers despite not being physically present in the same room every day.

8. Company Meetups

While managing remote workers has great benefits, and most employees want them, sometimes the teams’ spirits need to be lifted and strengthened.

Company meetups can be oriented into work activities or fun adventurous activities to get to know each other better.

When remote employees meet with each other, productivity and engagement levels increase. This allows them to bond together, which in turn will make them more likely to collaborate effectively when working remotely.

Remote Hiring Fraud- How to Avoid such Risks?

1. Lack of Qualifications

One common type of fraud is when a candidate is hired for a position but does not have the skills or qualifications required for the job. This can result in companies wasting their time and money on a candidate who is not suited for the role.

To avoid this type of fraud, employers should always ask for credentials such as certifications and portfolios from their candidates to verify their skillset.

Supersourcing does that for you before the developer profiles are shared with you.

2. Billing Fraud

Another type of fraud is when employees are billed for more hours than they actually worked.

This can happen if an employee works fewer hours than what was initially agreed upon or if they are charging inflated rates.

To prevent this type of fraud, Supersourcing ensures that you have clear agreements in place regarding expected hours worked and billable rates. We also acquire regular timesheet submissions from your remote developers so that you can track their progress and make sure that you are being billed accurately.

3. Fake Resumes

Fake resumes are one of the most common types of remote hiring fraud. Candidates will often embellish their resumes to make it look like they have more experience or knowledge than they actually do.

It is important to conduct a thorough background check on potential candidates before you hire remote workers. Supersourcing verifies every candidate’s education and work experience along with checking references.

4. Misrepresentation of Skills

Another type of remote hiring fraud is a misrepresentation of skills. One candidate can be good at cracking the interview while the other person can be better at the actual development job.

Supersourcing tests potential candidates for their technical skills so that you know exactly what you are getting before you hire them. This helps ensure that you don’t end up with someone who isn’t qualified for the job or who isn’t a good fit for your team.

5. Poor Communication

Another issue is that salespeople tend to be great at communication. Still, developers need to be great communicators too since they will need to interact with clients directly in order to understand project requirements accurately.

If employers don’t have direct contact with the end developer, it can cause longer wait times for product delivery or buggy products due to miscommunication or lack of understanding about requirements.

Supersourcing solves that problem by assigning a dedicated account manager to every client individually.

6. Outdated Technology & Middlemen

Some engineering teams may work on old or legacy technology which can be difficult to scale and make changes quickly.

There may be no direct connection between employers and end developers as all communication needs to go via managers who could miss out on important details related to the project requirements.

Lastly, product delivery comes with buggy products which can lead to further delays in completion.

Supersourcing solves both the problems. You can communicate with your developers directly and track their progress with no middlemen. Plus, Supersourcing developers follow standard practices and updated technology to build scalable solutions.

Why Trust Supersourcing?

When you’re looking to develop a platform, it’s important to be confident in the team you hire for the job. That’s why Supersourcing is the best choice for you.

With its AI-powered vetting process, expert vetting team, and wide range of skill sets, Supersourcing ensures that all its developers are verified and experienced.

With our extensive tests and interviews, strict NDAs, and a dedicated account manager, you can rest assured that your project is in good hands.

1. AI-Powered Vetting & Top Experinced Talent Team

In the first step of the vetting process, Supersourcing vets each remote developer profile through its AI-driven vetting system. Followed by an expert vetting team who handpick the best talent.

This helps ensure that the remote developers featured on Supersourcing are qualified and experienced professionals who have the skills necessary to do your job.

This rigorous screening process means you won't have to worry about vetting developers yourself - Supersourcing does it for you!

2. 100+ Skills

One of the best things about Supersourcing is that they offer a wide range of skill sets for just about any development need.

With options like React, Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, DevOps, ML, and more - you'll find the perfect developer for whatever project you have in mind.

3. Tests & Interviews

Supersourcing takes additional steps to make sure their developers are up to snuff by subjecting them to tests and interviews that are as rigorous as those conducted in Silicon Valley job interviews.

We test developers for over 100 different skills related to data structures, algorithms, systems, design, software specializations, & frameworks. So no matter what your tech requirement is, we have got someone qualified ready, and willing to take on the job!

4. Strict NDAs

When working with remote developers, security is always a top concern but fret not because Supersourcing makes sure all their developers sign strict non-disclosure agreements before onboarding which legally binds them to keep your data protected & confidential at all times.

You don't have to worry about anyone stealing or misusing your proprietary information when working with Supersourcing — we take security seriously.

5. Dedicated Account Manager

You'll also have a dedicated account manager assigned specifically for communication purposes.

So, if there's ever any issue with a particular remote developer or if there's something else going on, you can easily reach out without having any problems getting quick and efficient help.

6. Long-Term Relationships

One of the key benefits of using Supersourcing is that it fosters long-term relationships with its clients.

Over 95% of our customers have stayed with us and are still working with us to this day. This is a testament to the quality developers we provide, as well as the team’s ability to build strong relationships with our clients.

7. Trusted by Giants

Supersourcing holds an impressive list of clientele, including 24 Unicorns, 132 YC-funded companies, and 17 Fortune 500 Companies. We have also worked closely with over 70 VC funds to help our portfolio companies find top talent at scale.

This list is a testament to the trust that major organizations have placed in Supersourcing’s ability to deliver high-quality results quickly and efficiently.

8. 24/7 Support

The team at Supersourcing also comes with a robust support system that is active around the clock.

Whatever queries or problems you may face with your developer, our support team is always available to answer your questions and offer assistance when needed.

This ensures that all your recruitment needs are taken care of quickly and effectively, allowing you to focus on other tasks without worrying about delays or errors in the hiring process.

Case Studies

Client: Webnyay

Type of candidate profile the client was looking for:

• The ability to quickly learn the nuances of existing complex codebases which are unstructured has been worked upon by several developers due to which the code may be hacky and difficult to navigate.
• Understand the fact that an unstructured codebase like this has many moving parts and therefore be mindful of how making a change in one module can affect other modules in the rest of the codebase.
• The First couple of months will be spent fixing bugs and stabilizing the system which is currently in somewhat of a chaotic state, so the candidate needs to be okay with this.
• Ability to work in an asynchronous manner where requirements will be communicated in one shot post and there won't be too much back and forth with the candidate, except for the initial stages where the learning curve is high.

Technical J.D Shared by Webnynay

• 4+ years of professional experience building server applications using Python/Django along with Django Rest Framework and deploying those applications to the cloud.
• Well-versed in building scalable, understandable, and testable code with an eye toward maintainability.
• Good understanding of multi-process architecture and the threading limitations of Python.
• In-depth knowledge of relational databases as well as key-value databases. Should be capable of designing scalable database models based on product requirements.
• Experience with in-memory databases such as Redis and queuing frameworks for running tasks asynchronously.
• Strong computer science fundamentals: data structures, algorithms, distributed systems, and information retrieval.
• Comfortable picking up new stacks and choosing the right tool to get the job done.
• Decent knowledge of PostgresSQL.

Client: INQ

JD shared by INQ:

- Basics of computer vision, Yolo models, and object detection - PyTorch basics with multiprocessing concepts - Python queues and Rest API framework either FastAPI or Django or Flask - Knowledge of deepstream and jetson is a plus - Understanding of Blockchain Technologies - Write APIs for edge AI systems - Integrate tools for performing analytics9 - Train and deploy AI models for accommodating client requests - Write endpoints to accumulate bi reports from the collected data

Client: Integris

Technical JD shared by Integris:

-Angular + Python -Role base handling -Risk management -Flask -Angular 8+ -Azure -Microsoft Integration.

Client: Qlan

JD shared by Qlan

• Senior Engineer to be part of our API Platform Team to help us continuously upgrade the foundation of our mobile application.
• Provide a solution to improve process quality, and understand emerging technologies, standards, and best practices to bring mobile app products to the next level
• Framework - Flask/ Django / FastApi
• Rest API

Skills Required

• Good understanding of Rest API development
• Knowledge in using DB - Postgres, NoSQL, MongoDB
• Be able to use Git
• Python 3+ with Flask framework
• Understanding of Best Practices in API Development
• Sound understanding and knowledge of Python and its ecosystem libraries like Pandas, Numpy, Dask, and sqlAlchemy along with built-in modules.
• Ability to write modular code and understand the python packaging and distribution system.
• Knowledge of object-relational mapping (ORM)
• Must clearly understand network protocols – HTTP, TCP (sockets), RTSP (streaming).
• Should know basics in low-level coding on strings, objects, bytes, and integers using binary operators.
• Good problem-solving skills