Explore your enthusiasm for Python with these top 10 jobs in the biggest tech giants like FAANG
In finance, "FAANG" is an acronym that refers to the stocks of five prominent American technology companies: Meta (FB) (formerly known as Facebook), Amazon (AMZN), Apple (AAPL), Netflix (NFLX); and Alphabet (GOOG) (formerly known as Google). All the tech enthusiasts, in particular Python developers around the world, are interested in jobs at FAANG companies which are also popular for their wonderful work environment and best quality of teams. Here are the top 10 Python jobs at FAANG companies that you can apply for in 2022.
Software Engineer – Python
- Lead proof-of-concept and pilot implementations to demonstrate new ideas or illustrate the use of new technologies and apply it to the systems
- Strive for top quality results and continuously look for ways to improve and enhance system reliability, performance, and security
- Perform regular design and code reviews and participate in debugging and coding to resolve issues
- Provide technical guidance and mentoring to a small team of software engineers; develop critical system components as well as take a bottom line for the team's timely deliverables quality and performance
- 5+ years of programming experience in Python Data Analytics platforms, Pandas Data frames, sqlalchemy, numpy, etc
- In-depth Python programming experience in building high scale enterprise-level applications specialized in queues/multiprocessing/multithreading
- Thorough knowledge of UNIX/Linux platforms. Scripting experience with Shell, XML, JSON
- Provide incident resolution for all technical production issues.
- Create and maintain accurate, up-to-date documentation reflecting configuration, and responsible for writing justifications, training users on complex topics, writing status reports, documenting procedures, and interacting with other Apple staff and management.
- Guide to improve the stability, security, efficiency, and scalability of systems.
- Expertise in configuration management (such as Ansible, Salt) for deploying, configuring, and managing servers and systems
- Have a passion for automation by creating tools using Python, Java, or Bash
- Experience deploying and managing CI/CD pipelines.
- Experience managing infrastructure in AWS
- Have a strong experience in managing distributed computing systems, e.g., NoSQL, Cassandra, Hadoop
Cloud Technical Solutions Developer
- Support the simplified platform on customer systems by diagnosing and resolving customer problems.
- Act as a consultant and subject matter expert for key stakeholders in the engineering, business, and customer organizations to resolve technical deployment obstacles and improve the products.
- Obtain and maintain an in-depth understanding of Google's product technology and software architectures and build in-product self-service solutions.
- Experience with SIEM/SOC products
- Knowledge of kernel, file system, and database internals
- Familiarity with basic security stack (e.g., Cisco AMP/Umbrella, Virus Total, MISP, EDR)
- Understanding of basic web technologies
Technical Solutions Engineer
- Manage customer issues through effective diagnosis, resolution, or implementation of investigation tools to increase productivity for customers on Google Cloud Platform products
- Develop in-depth knowledge of Google's product technology and underlying architectures by troubleshooting, reproducing, determining the root cause for customer reported challenges and building tools for faster diagnosis
- Act as a consultant for internal stakeholders in engineering, sales, and customer organizations to resolve potential technical deployment obstacles and improve Google Cloud
- Experience with distributed, columnar, and/or analytic-oriented databases or distributed data processing frameworks
- Experience with open-source distributed storage and processing utilities (e.g., Apache or Hadoop) and/or workflow orchestration products (e.g., Apache Airflow)
- Experience in data analytics, warehousing, estimated time to launch development, data science, or other Big Data applications
Software Development Engineer
- Helping define engineering best practices and providing technical mentorship to other members of the engineering team
- Being thoughtful for the customer and ensuring their needs come first
- Designing and building software for Alexa-enabled devices, mobile clients, Amazon.com, and backend cloud server systems
- Experience building software systems that have been successfully delivered to customers
- Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Familiarity with AWS and mobile app development
Software Development Manage
- Responsible for the overall development life cycle of the solution and managing complex projects with significant bottom-line impact
- Work with product managers in developing a strategy and road map to provide compelling capabilities for the seller community on amazon in the marketplace that helps them succeed in their business goals.
- Work closely with senior engineers to develop the best technical design and approach for new product development
- Deep hands-on technical expertise in mobile and web technologies
- Firm understanding of software development principles
- Solid software development background including design patterns, data structures, test-driven development
- Software development experience in building web services and highly scalable applications
- Excellent verbal and written communication skills
Software Engineer – Programming Languages, Compilers, and Developer
- Designing and implementing programming language tools such as type checkers, static analyses, compilers, IDEs, debuggers, or building systems
- A guiding system, API, library, and database schema design for team members
- Engaging with external stakeholders and cross-functional team partners
- Experience in programming language design or evolution, including domain-specific languages and virtual machines
- Experience in working with programming language semantics and applied formal methods, particularly type systems, static analyses, abstract interpretation, symbolic execution, or verification
- Experience with runtime systems, memory management, and virtual machines
- Collaborate with Research Scientists, Mechanical Engineers, Electrical Engineers, and Software Engineers on optimized data processing and machine learning, pipelines, and algorithms
- Automate post-processing for data management as well as computer vision and machine learning pipelines for faster prototype development
- Work on data capture for AR/VR prototypes, support captures and processing pipelines for demos
- Experience with software development practices such as source control, code reviews, unit testing, debugging, and profiling
- Experience with software development and debugging on both Windows and Linux
- Experience deploying software on large-scale distributed systems
- Go through alerts, troubleshoot (internal or external or partner backend)
- Cross-functional teams: Working with Partner Engineering, Payments Engineering (Infrastructure + Backend), Global Device, and Payment Partner Engagement Managers (PEMs)
- Asking DRE to build the relationship
- (Learnable) SQL – easy language to learn – database (any kind)
- *Python or Perl (any Objective oriented language)
- The expectation for this role: awareness of any language to write tools that automate troubleshoot steps
Senior Build & Development Pipeline Engineer
- Own the development and maintenance of all layers of Night School's small-scale build pipeline
- Manage releases to various groups such as the development team, QA, and the public
- Document procedures, practices, and guidelines with clarity
- Assist in maintaining build health both by flagging issues and contributing code when needed
- Expertise with both Unix and Windows automation practices
- Skilled in common server languages such as Python, JavaScript, Gradle, etc.
- Familiar with automated application delivery systems such as Jenkins
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