Money Fit by DRS
Data Infrastructure Engineer
Money Fit by DRS, San Francisco, California, United States, 94199
Location:
San Francisco, CA
Type:
Full time
Department:
Applied AI
Compensation:
$200K – $385K
In addition to the salary range listed above, total compensation also includes generous equity and benefits:
Medical, dental, and vision insurance for you and your family
Mental health and wellness support
401(k) plan with 50% matching
Unlimited time off and 13 company holidays per year
Paid parental leave (20 weeks) and family-planning support
Annual learning & development stipend ($1,500 per year)
Overview:
About the Team:
You’ll join the team that’s behind OpenAI’s data infrastructure that powers critical engineering, product, alignment teams that are core to the work we do at OpenAI. The systems we support include our data warehouse, batch compute infrastructure, streaming infrastructure, data orchestration system, data lake, vector databases, critical integrations, and more.
About the Role:
The Applied Data Platform team designs, builds, and operates the foundational data infrastructure that enables products and teams at OpenAI. You are comfortable with work such as scaling Kubernetes services, debugging Kafka consumer lag, diagnosing distributed kv store failures, designing a system to retrieve image vectors with low latency. You are well versed with infrastructure tooling such as Terraform, worked with Kubernetes, and have the SRE skill sets. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure while ensuring scalability, reliability, and security.
Ensure our data platform can scale reliably to the next several orders of magnitude.
Accelerate company productivity by empowering your fellow engineers & teammates with excellent data tooling and systems, providing a best in case experience.
Bring new features and capabilities to the world by partnering with product engineers, trust & safety and other teams to build the technical foundations.
Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed.
You might thrive in this role if you:
Have 4+ years in data infrastructure engineering OR
Have 4+ years in infrastructure engineering with a strong interest in data.
Take pride in building and operating scalable, reliable, secure systems.
Are comfortable with ambiguity and rapid change.
Have a voracious and intrinsic desire to learn and fill in missing skills—and an equally strong talent for sharing learnings clearly and concisely with others.
Some of the technologies you’ll be working with include Apache Spark, Python, Terraform, Kafka, Azure EventHub, Vector DBs.
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.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
We are committed to providing reasonable accommodations to applicants with disabilities.
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
#J-18808-Ljbffr
San Francisco, CA
Type:
Full time
Department:
Applied AI
Compensation:
$200K – $385K
In addition to the salary range listed above, total compensation also includes generous equity and benefits:
Medical, dental, and vision insurance for you and your family
Mental health and wellness support
401(k) plan with 50% matching
Unlimited time off and 13 company holidays per year
Paid parental leave (20 weeks) and family-planning support
Annual learning & development stipend ($1,500 per year)
Overview:
About the Team:
You’ll join the team that’s behind OpenAI’s data infrastructure that powers critical engineering, product, alignment teams that are core to the work we do at OpenAI. The systems we support include our data warehouse, batch compute infrastructure, streaming infrastructure, data orchestration system, data lake, vector databases, critical integrations, and more.
About the Role:
The Applied Data Platform team designs, builds, and operates the foundational data infrastructure that enables products and teams at OpenAI. You are comfortable with work such as scaling Kubernetes services, debugging Kafka consumer lag, diagnosing distributed kv store failures, designing a system to retrieve image vectors with low latency. You are well versed with infrastructure tooling such as Terraform, worked with Kubernetes, and have the SRE skill sets. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure while ensuring scalability, reliability, and security.
Ensure our data platform can scale reliably to the next several orders of magnitude.
Accelerate company productivity by empowering your fellow engineers & teammates with excellent data tooling and systems, providing a best in case experience.
Bring new features and capabilities to the world by partnering with product engineers, trust & safety and other teams to build the technical foundations.
Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed.
You might thrive in this role if you:
Have 4+ years in data infrastructure engineering OR
Have 4+ years in infrastructure engineering with a strong interest in data.
Take pride in building and operating scalable, reliable, secure systems.
Are comfortable with ambiguity and rapid change.
Have a voracious and intrinsic desire to learn and fill in missing skills—and an equally strong talent for sharing learnings clearly and concisely with others.
Some of the technologies you’ll be working with include Apache Spark, Python, Terraform, Kafka, Azure EventHub, Vector DBs.
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.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
We are committed to providing reasonable accommodations to applicants with disabilities.
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
#J-18808-Ljbffr