Job Title: Site Reliability Engineer II

Pogo has been the leader in online casual games since 1998. Featuring a growing library of 60+ titles spanning popular genres like Solitaire, Mahjong, Match 3, and more, Pogo exists to be the best destination for online casual games. We strive to produce high-quality HTML5-powered games with sophisticated metagames and social mechanics, all while working seamlessly across desktop, tablet and mobile. Our fans and subscribers come to Pogo for fresh content, daily challenges, great events, new games, and a live service that delivers! We are looking for a Site Reliability Engineer on Pogo engineering to help maintain and work towards continuous improvement of infrastructure for the Pogo platform and games.

In this key role, you will report directly to the Associate Technical Director and have a high level of interaction with Pogo engineering team members, development directors and EA central teams. Pogo Engineering manages the Pogo platform that consists of Progressive WebApp and Java Backend deployed on AWS that supports more than 60 HTML5 games. As part of the engineering team, you will help build, maintain and continuously improve Pogo’s infrastructure for games and platform.

Key Responsibilities:

• Build and maintain CI/CD pipelines for several projects and work towards continuous improvement.
• Keep Pogo infrastructure up-to-date by applying updates in timely manner
• Implement monitoring and alerting systems for service degradations
• Identify and deploy security measures by performing vulnerability assessments and risk management.
• Encourage and build automated processes whenever possible.

Qualifications:

• Bachelor's degree in Computer Science or related field, or equivalent training and professional experience
• 4+ years of experience as a DevOps/Site Reliability engineer
• Proficient in CI/CD technologies like Maven, Gradle, Jenkins, Gitlab CI/CD
• Proficient in cloud platform like AWS
• Expertise in containerization with Docker/Kubernetes and orchestration tools Ansible/Puppet
• Proficiency in cloud-based DevOps practices like Terraform
• Experience with shell scripting and knowledge of scripting languages like Ruby, Python
• Experience with monitoring tools like Prometheus, Grafana, Cloudwatch
• Experience with load testing, troubleshooting, and optimizing performance of web services
• Experience with Scrum/Agile development methodologies

Nice To Have:

• Experience in game industry is a plus

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Design and develop cybersecurity tools for real-time embedded, embedded Linux, and Android systems. Implement an endpoint detection and response agent for use on Anduril products. Develop thorough testing and qualification procedures for security-critical components. Collaborate with cross-functional teams to identify specific security needs and implement solutions. Conduct code reviews and ensure adherence to security best practices. Stay updated on the latest security threats and technologies.

Required qualifications include 2+ years of software development experience in Golang, Rust, or C/C++, experience with Linux observability and eBPF, strong understanding of Linux security internals, and experience debugging and optimizing performance of Linux software.

Preferred qualifications include knowledge of security frameworks and compliance standards, experience in mobile development, specifically on Android platforms, experience implementing EDR tooling, and experience with SOC operations, forensics, and incident response practices.

US Salary Range $166,000-$253,000 USD

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Responsibilities:

• Build a great customer experience for internal and external Stripe teams using our infrastructure
• Participate in roadmap planning and prioritization
• Deliver value through a strong collaborative approach with multiple customers and stakeholders across Stripe
• Debug production issues across services and several levels of the stack

Requirements:

• 4-12+ years of industry software engineering experience
• Ability to write well-factored algorithms and have experience with commonly used data structures and algorithms
• Hands-on experience contributing to or building large scale distributed systems
• Strong coding skills in any programming language
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers' success
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial
• Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users

Preferred Qualifications:

• Experience optimizing the end to end performance of distributed systems
• Focuses on the needs of our users, both internal and external
• Hold yourself and others to a high bar when working with production

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Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $295K – $555K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

Our Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprise and developers alike to use and access our start-of-the-art AI models, allowing them to do things that they’ve never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference.

About the Role

We are looking for an engineer who wants to take the world's largest and most capable AI models and optimize them for use in a high-volume, low-latency, and high-availability production and research environment.

In this role, you will:

• Work alongside machine learning researchers, engineers, and product managers to bring our latest technologies into production.

• Work alongside researchers to enable advanced research through awesome engineering.

• Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our model inference stack.

• Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues.

• Optimize our code and fleet of Azure VMs to utilize every FLOP and every GB of GPU RAM of our hardware.

You might thrive in this role if you:

• Have an understanding of modern ML architectures and an intuition for how to optimize their performance, particularly for inference.

• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.

• Have at least 5 years of professional software engineering experience.

• Have or can quickly gain familiarity with PyTorch, NVidia GPUs and the software stacks that optimize them (e.g. NCCL, CUDA), as well as HPC technologies such as InfiniBand, MPI, NVLink, etc.

• Have experience architecting, building, observing, and debugging production distributed systems. Bonus point if worked on performance-critical distributed systems.

• Have needed to rebuild or substantially refactor production systems several times over due to rapidly increasing scale.

• Are self-directed and enjoy figuring out the most important problem to work on.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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