You will be part of the team that works with our customers and internal stakeholders to resolve their day-to-day Engineering issues and to build capabilities to improve our merchant observability and experiences. You will be working on key operational metrics, emphasizing availability, reliability, and observability within the Braintree Gateway Platform. As a hands-on full stack engineer with AI/ML expertise, you will design and implement AI-driven solutions to enhance platform stability, improve observability, and elevate customer experiences.
Job Description
At PayPal (NASDAQ PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.
About Us PayPal and Braintree let you move money from one place to another safely and securely. Every time you pay for an Uber ride, book a stay through Airbnb, or Pay with PayPal when you check out online, you re probably using our product. It sounds complex (and it is), but we make it so simple you can t tell we re there. We solve world-scale problems and provide opportunities to match. We build diverse teams that recognize our strengths and allow us to work on our weaknesses. You bring skills and a relentless focus on the customer, and well provide the support you need to do the best work of your life.
Your way to impact
As a member of our team, you will focus on providing engineering support for technical interruptions and developing automated solutions, thereby freeing up the domain engineering team to concentrate on delivering new product features. Leveraging your experience with domain engineering challenges, you will also be expected to propose and implement solutions that enhance operational efficiencies and improve merchant experiences. Your contributions will play a crucial role in optimizing our processes and driving overall organizational success.
Your day to day
Demonstrate a customer centric mindset as part of day-day work.
Responsible for responding to any critical Issues and supporting platform stability issues.
You will be empowered to be a strong and well-rounded engineer with an investigative mind, enhance your troubleshooting/debugging skills and dedicated customer focus.
You will develop a strong sense of ownership of the application stack, great analytical and problem-solving skills, in depth knowledge on latest technologies, ability to self -learn and attention to detail.
You will work towards achieving operational excellency, be the guiding force and collaborate with the team to take it to the next phase
Develop tools and automation to manage operations and improve observability of merchant experiences via code.
Improve the operations quality, reliability, and stability of our systems
Provide valuable Issue Intelligence for the major issues By Identifying applications, monitoring, process and product gaps and propose [short-term] implement solutions to address them. Drive long term solutions with technology/product teams when appropriate.
Collaborate with your fellow engineers on design principles and best practices.
Recognize, validate and evangelize emerging technologies and architectures that align with business objectives.
Take your technical skills to the next level with the Application Engineering team at PayPal.
What do you need to bring
5 yrs or more years of software development experience
Excellent problem-solving skills
Experience in developing, troubleshooting/debugging complex multi-tier applications
Proficiency in at least one of the programming languages Python, Ruby on Rails, Java
Proficiency in machine learning algorithms and artificial intelligence techniques.
Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
Proficiency in programming languages commonly used in AI/ML, such as Python or R.
Hands-on experience with databases such as PostgreSQL, Oracle
Hands-on experience with Unix/Linux environments.
Experience with monitoring and observability platforms such as Datadog and Splunk
Familiarity with Tableau or other equivalent Business Intelligence and Analytics Software
Familiarity with scripting languages like Shell and Perl is a plus.
Previous experience with Incident Management or Production Support is highly desirable.