Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ : PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy.
Our open digital payments platform gives PayPalâs 375 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person.
Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid.
Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.
Site Reliability Engineer (SRE) PayPal is a purpose-driven company whose beliefs are the foundation for how we conduct business every single day.
We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect.
Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment.
Join us as we change the way the world defines financial freedom. PayPal SRE is a continuous engineering discipline that effectively combines software development and systems engineering to build and run scalable, distributed, fault-tolerant systems.
The SRE team works together to ensure a continuous improvement to optimize for capacity and performance. As a Site Reliability Engineer, you will be working to ensure that PayPalâ
153;s internal and external services have reliability and uptime appropriate to our users' needs.
As a PayPal SRE Engineer, you will have the opportunity to :
Work directly with Product Development teams on features, operations, and reliability engineering, to improve the outcomes that our customers deserve.
Your contributions will make a difference in the production code that serves 240+ million users and 20+ million merchants.
Provides technical leadership for the team with limited guidance from management or senior teammates. Uses solid understanding of business domain and emerging understanding of how that domain interacts with other domains in the design of technical solutions.
Work autonomously, within a team, as a team to triage and remediate production system and application incidents while practicing balanced incident responses.
Takes the learning and build them as workflows driving towards a predictive & preventive future. When working autonomously, uses the opportunity to create exemplars, frameworks, or other auxiliary work products to enhance the ability of others to work autonomously or in collaborative teams
Lead constructive retrospective sessions to help us enhance the whole lifecycle of servicesâfrom inception and design, through deployment, operation, and refinement.
Be the primary enabler in the reduction of Failed Customer Interactions to raise our availability to all our users.
Work on designing and developing new- generation machine learning tool and technologies to offer critical competitive advantage to business and industry.
Analyze large, complex datasets to extract insights and decide on the appropriate technique and apply ML algorithms that could be used to solve business problems
Enhances reliability of overall system by working across components to ensure consistent monitoring and operational capabilities, facilitating trade-offs between component designs across teams, and / or acts as a SME on incident response teams to accelerate issue resolution activities
Apply DevOps principles in solving operational problems through extreme and innovative automations and solutions.
Design and drive roadmaps, outcomes, and collaborative projects. Translate vision into strategy.
Explores industry best practices and influences application of the most relevant and effective solutions in the activities performed day to day.
Bachelor or masterâs degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent practical experience.
12+ years of relevant work experience
Proven experience as a Machine Learning Engineer or similar role. Experience with algorithms, data structures, data modeling, complexity analysis and software design.
Familiarity with machine learning frameworks and libraries
Expertise in visualizing and manipulating big datasets
Fair understanding and working knowledge of networking principles, internet fundamentals, Operating Systems, DevOps practices & tooling, Infrastructure basics, cloud operations and application stacks.
Experience with algorithms, data structures, complexity analysis and software design.
You have a passion for software development and technology.
Demonstrated leadership skills and experience working in a collaborative and highly cross-functional organization
Using the "Scientific Method" to dig into problems is something you love to do.
Strong debugging and analytical skills
Ability to prioritize and execute tasks in a high-pressure environment and make informed and sound decisions in crisis situations
Strong articulation and stakeholder management skills.
Hands on exposure to AI / ML concepts will be a huge advantage
Should feel comfortable leading and mentoring engineers through business & engineering challenges
You strive to work in a dynamic, changing environment, with large scale applications across the stack.
Finally, you must be determined to have fun, otherwise it is just a job.