Python/AWS Lambda Developers for Hire
Renowned for its versatility in comparison to other languages, Python is a popular, general-purpose programming language that can be highly adaptable for a wide range of applications. Whether it’s for web development, machine learning, real-time applications, game development, or anything requiring data and mathematical computations, Python can be used to build almost any type of application.
Providing businesses with the ability to add custom logic to the services offered by Amazon Web Services or build their own back-end services hosted on the platform, Amazon Web Services’ Lambda is a serverless computing technology. This enables enterprises to access Amazon Web Services’ expansive computational resources without managing their own servers.
Developers can handle incoming events using Python programming with Amazon Web Services (AWS) Lambda. By executing Python code using the Python Software Development Kit (SDK) in an environment that incorporates IAM role credentials, developers can leverage AWS Lambda. With the rise in popularity of both Python and AWS Lambda, there is a growing demand for skilled developers with expertise in both technologies. Developers with knowledge of both Python and AWS Lambda are in high demand.
Possibilities for Python/AWS Lambda Development
Using Amazon Web Services (AWS) to create event-driven, serverless applications, Lambda enables developers to take advantage of powerful computing capabilities without the need to manage servers. This makes Lambda a cost-effective solution for quickly setting up a computing platform. In addition, Lambda can also serve as a logic layer in an existing application, streamlining development. Learn more about the cost-effective benefits of using a remote workforce.
Amazon Web Services (AWS) Lambda enables the execution of Python code in response to events or requests, among other language runtimes. Developers can submit their own Python code to the runtime for execution. Serverless computing is a new software architecture that frees developers from having to manage the underlying hardware and operating systems of cloud platforms, allowing them to focus solely on writing code. Industry experts predict that serverless computing will grow in popularity in the years to come. Develop your own Python code or hire cloud developers to help take advantage of this technology.
Responsibilities of a Python/AWS Lambda Developer
Hired for the design, construction, and deployment of complex serverless applications, Python/AWS Lambda developers have a range of responsibilities, including creating, testing, and maintaining serverless applications. They must ensure seamless integration with other systems, provide support and guidance to stakeholders throughout the application development lifecycle, and remain knowledgeable about the latest serverless technologies and trends to recommend best practices when necessary.
- Amazon Web Services Code empowers you to create, develop, and deploy high-performing and reliable apps. You can also evaluate, optimize, implement, and track data-driven apps for optimal performance.
- Develop unit testing strategies to ensure that both functional and technical requirements are met.
- Take part in software development processes including quality assurance, architecture design, and version control.
- Resolve programming discrepancies and validate specifications.
- Design and deploy a comprehensive web application architecture.
Starting Out as a Python/AWS Lambda Developer
Python/AWS lambda developer positions have become increasingly sought-after in recent years, attracting IT professionals from various backgrounds. Although a college-level education in computer science or a related field can provide a solid foundation, it is not required for success. The most important skills for a Python/AWS lambda developer include a basic understanding of programming languages and serverless architecture fundamentals. Armed with these skills and knowledge, one can embark on a successful career as a Python/AWS lambda developer.
Python and AWS Lambda expertise can open up a range of career opportunities for developers. Tasks may include implementing, designing, and debugging projects using these technologies. As a developer, responsibilities may include crafting code, running tests, and identifying and resolving application issues.
To become a skilled Python/AWS lambda developer, it’s important to acquire the following abilities and approaches:
Requirements for becoming a Python/AWS Lambda Developer
To excel as a Python/AWS lambda developer, it’s crucial to first acquire the necessary skills. This includes a strong grasp of Python and AWS Lambda, and the ability to use these tools in tandem to create software solutions. Additionally, familiarity with related technologies such as data structures, algorithms, databases, and web technologies is important. With a solid foundation of knowledge, one can embark on a successful career as a Python/AWS lambda developer.
Application DeploymentA strong understanding of Amazon Web Services (AWS) Lambda is crucial for developers. With web application deployment to an Amazon Elastic Compute Cloud (EC2) instance constantly evolving, it’s important to stay current with the latest methods, as older ways become outdated. Developers must understand how to manually deploy an application to an EC2 instance, as well as utilize Amazon CloudFormation to establish an application’s framework and upload it. Additionally, they should be familiar with AWS Elastic Beanstalk and its role in managing applications, as well as Elastic Container Service and Elastic Kubernetes Service.
PythonBefore initiating a Python development project, it’s critical for developers to possess a solid understanding of the fundamentals of the Python programming language. This encompasses concepts such as variables, data types, exception handling, file handling, data structures, and object-oriented programming. Aspiring Python/AWS Lambda developer candidates should ensure they possess competency in these areas prior to submitting their application.
Understanding Serverless ArchitectureAmazon Web Services’ Lambda service can provide solutions for a variety of challenges in web application development. However, Lambda is particularly well-suited for certain types of functionality. Therefore, developers must understand when and why to utilize it to achieve the desired results.
ORM LibrariesObject-relational mappers (ORMs) are a valuable tool for Python/AWS Lambda developers as they enable changes to databases using Python code rather than Structured Query Language (SQL). ORMs are libraries that allow for efficient and streamlined transformation of relational database data into Python objects. Therefore, job seekers are encouraged to include ORM experience on their resumes when applying for employment. Popular Python ORMs include SQLAlchemy, Peewee ORM, Django ORM, PonyORM, and Tortoise ORM.
Multi-Process ArchitectureJob seekers applying for Python/AWS Lambda developer positions must possess a comprehensive understanding of multi-process architecture and the behavior of released or deployed code. Strong knowledge of system design allows developers to detect and address issues in the Python framework effectively, resulting in more optimal outcomes.
AWS SDKThe Amazon Web Services Software Development Kit (SDK) equips developers with the necessary tools to design and develop applications that leverage the expansive range of AWS services. The SDK enables AWS communication within code, which is particularly advantageous for those who work with AWS Lambda. Possessing a comprehensive understanding of the SDK enables developers to unlock the full potential of one of the most powerful cloud computing technologies available today.
How to Secure Remote Python/AWS Lambda Developer Work?
Athletes and Python/AWS Lambda developers share a common approach towards achieving success – regular and effective practice. To foster growth and improvement, developers must devote significant time and energy towards refining their skills, including seeking assistance from more experienced and accomplished individuals. Striking a balance between adequate practice and avoiding burnout is essential. With proper mentorship and support, developers can enhance their abilities and realize their full potential.
At Works, we offer remote Python/AWS Lambda developer jobs customized to match your individual career objectives. Our jobs offer exciting opportunities to rapidly enhance your skills by resolving complex technical and business issues using the latest technology. Additionally, you can join a global network of leading developers and secure full-time remote Python/AWS Lambda developer positions with better opportunities for career growth and higher pay.
- AWS enables you to develop, construct, and release scalable and reliable applications.
- To create successful data-driven applications, it is critical to code, test, debug, deploy, and document them effectively.
- Develop unit test strategies to verify functional and technical requirements are fulfilled.
- Participate in software development procedures including version control, quality assurance, and building, as highlighted in our employee vetting procedures.
- Troubleshoot obstacles and validate programming specifications.
- Develop a comprehensive web application architecture from end to end.
- A Bachelor’s or Master’s degree in Engineering, Computer Science or relevant experience.
- A minimum of three years of experience in developing Python applications and utilizing AWS Lambda (highly skilled developers may be an exception).
- Thorough comprehension of AWS Lambda and other AWS services like S3, SNS, and API Gateway.
- Demonstrated expertise in the programming language, Python.
- Familiarity with at least one popular Python framework, such as Django, Flask, or equivalent.
- Understanding of both relational and non-relational databases.
- Mastery in executing best practices, enhancing performance, and conducting peer assessments.
- Fluency in English is a must for effective communication.
- Work on a full-time basis (40 hours per week) with a 4-hour overlap with the US time zones.
- Understanding of Big Data technologies such as Hadoop, Apache Spark, and Kafka.
- Requirement of comprehension in software containerization and orchestration.
- Familiarity with Git and best practices of DevOps.
- Experience in developing code for serverless architecture.
- Capability to function in an Agile software development team is necessary.
- Proficiency in analytical and problem-solving skills, along with team management.