<h5>About Delphina </h5><ul> <li>Todays Data Scientists are in pain - spending their time manually wrangling data, building models through slow trial and error, taking on painstaking rewrites for deployment, and dealing with countless other frustrating bottlenecks. And the tools they are using for much of this work e.g. Jupyter notebooks and Pandas are over a decade old. </li><li> We founded Delphina to change this: our mission is to help the world get better at using data to understand the present and predict the future. Delphina leverages a combination of generative AI, large scale optimization, and specialized infrastructure to automate the time-consuming but necessary tasks to build powerful ML models quickly; Delphina will identify relevant data, clean it, train models, and even productionize pipelines. </li> <li>Our team has previously led large data science and machine learning teams (covering both applications and infrastructure), built startups, and created successful tools for enterprise ML. </li> <li>This role is based in San Mateo, CA. We are in person 2 days per week and offer relocation assistance to new employees. In select cases we also offer remote options. </li> </ul><h5>What youll do </h5> <ul><li> We're looking for an experienced Data Infrastructure Engineer to join as a founding team member of Delphina. </li><li> As one of our key early hires, you will partner closely with our early team on the direction of our product and drive critical technical decisions. You will have broad impact over the technology, product, and our company's culture. </li> <li>You will be responsible for: <ul> <li>Developing solutions that will orchestrate and support massive quantities of data through stages like ingestion, indexing/mining, transformation, machine learning, online deployment </li> <li>Developing platforms that enable scientists, researchers, developers to run ML jobs easily and quickly at scale using the latest technologies </li> <li>Defining a consistent continuous integration/deployment model that will encourage cross-functional development teams to self-service application unit testing, deployment and operations </li> <li>Influencing and lead cross-functional initiatives that will align the team towards commonly used technologies and methodologies </li> </ul></li> </ul><h5>What were looking for </h5> <ul><li> Hands on experience in building distributed systems, including real-time streaming and batch data processing </li> <li>Proficiency in multiple programming languages relevant for such systems (e.g. Python, Rust, C++, Go, Java) </li> <li>Knowledge about what it takes to deploy and operate high availability production systems in the cloud </li> <li>Experience designing service-oriented architectures and leveraging various data store technologies </li> <li>Energy and ambition to build a product that is surprisingly good in surprising ways. </li> <li>Intrinsic desire to always be improving our product and yourself. Growth mindset to both stay ahead of the curve and pick up whatever knowledge you're missing to get the job done. </li> </ul><h5>Nice to haves </h5> <ul><li> Experience working directly on machine learning either by partnering with scientists and engineers who are building models or by building models yourself </li> <li>Experience leading cross-functional teams through ambiguous problems </li> </ul><h5>Benefits </h5><ul> <li>Equity in the company </li> <li>Medical, dental, and vision insurance </li> <li>401k </li> <li>Unlimited PTO </li> <li>Top of the line Apple equipment </li> <li>Free lunch in the office twice a week </li></ul>

About the TeamYou’ll join the team that’s behind OpenAI’s data infrastructure that powers critical engineering and product teams 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 RoleThe 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, OLAP systems, debugging Kafka consumer lag, diagnosing distributed kv store failures, and designing a system to retrieve image vectors with low latency.You are well versed with infrastructure tooling such as Terraform, have worked with Kubernetes, and possess 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:<ul><li>Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, and streaming infrastructure while ensuring scalability, reliability, and security.</li><li>Ensure our data platform can scale reliably to the next several orders of magnitude.</li><li>Accelerate company productivity by empowering your fellow engineers and teammates with excellent data tooling and systems, providing a best-in-class experience.</li><li>Bring new features and capabilities to the world by partnering with product engineers, trust & safety, and other teams to build the technical foundations.</li><li>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.</li></ul>You might thrive in this role if you:<ul><li>Have 4+ years in data infrastructure engineering OR</li><li>Have 4+ years in infrastructure engineering with a strong interest in data.</li><li>Take pride in building and operating scalable, reliable, secure systems.</li><li>Are comfortable with ambiguity and rapid change.</li><li>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.</li></ul>Some of the technologies you’ll be working with include Apache Spark, Clickhouse, Python, Terraform, Kafka, Azure EventHub, and Vector DBs.About OpenAIOpenAI 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, and requests can be made via this <a href="#">link</a>.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

About the TeamYou’ll join the team that’s behind OpenAI’s data infrastructure that powers critical engineering, product, and alignment teams 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 RoleThe 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, OLAP systems, debugging Kafka consumer lag, diagnosing distributed kv store failures, and designing a system to retrieve image vectors with low latency. You are well versed with infrastructure tooling such as Terraform, have worked with Kubernetes, and possess 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:<ul><li>Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, and streaming infrastructure while ensuring scalability, reliability, and security.</li><li>Ensure our data platform can scale reliably to the next several orders of magnitude.</li><li>Accelerate company productivity by empowering your fellow engineers and teammates with excellent data tooling and systems, providing a best-in-case experience.</li><li>Bring new features and capabilities to the world by partnering with product engineers, trust & safety, and other teams to build the technical foundations.</li><li>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.</li></ul>You might thrive in this role if you:<ul><li>Have 4+ years in data infrastructure engineering or 4+ years in infrastructure engineering with a strong interest in data.</li><li>Take pride in building and operating scalable, reliable, and secure systems.</li><li>Are comfortable with ambiguity and rapid change.</li><li>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.</li></ul>Some of the technologies you’ll be working with include Apache Spark, Clickhouse, Python, Terraform, Kafka, Azure EventHub, and Vector DBs.About OpenAIOpenAI 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, and requests can be made via this <a href="#">link</a>.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

About the Team
You’ll join the team that’s behind OpenAI’s data infrastructure that powers critical engineering and product teams 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, OLAP systems, debugging Kafka consumer lag, diagnosing distributed kv store failures, and designing a system to retrieve image vectors with low latency.
You are well versed with infrastructure tooling such as Terraform, have worked with Kubernetes, and possess 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, and 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 and teammates with excellent data tooling and systems, providing a best-in-class 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, Clickhouse, Python, Terraform, Kafka, Azure EventHub, and 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, and requests can be made via this  link .
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

About the Team
You’ll join the team that’s behind OpenAI’s data infrastructure that powers critical engineering, product, and alignment teams 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, OLAP systems, debugging Kafka consumer lag, diagnosing distributed kv store failures, and designing a system to retrieve image vectors with low latency. You are well versed with infrastructure tooling such as Terraform, have worked with Kubernetes, and possess 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, and 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 and 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 4+ years in infrastructure engineering with a strong interest in data.
Take pride in building and operating scalable, reliable, and 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, Clickhouse, Python, Terraform, Kafka, Azure EventHub, and 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, and requests can be made via this  link .
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

Senior Data Infrastructure Engineer

Alludo has an immediate vacancy for this role.

Push the boundaries of tech. In your sweatpants.

We're looking for an experienced Senior Data Infrastructure Engineer to help us change how the world works. Here, you'll be part of our Data Platform team, supporting cross-functional groups around the world. The right candidate will develop, review, and maintain database systems and other parts of the data platform.

The Data team is building the Data Platform for Scale, Performance, and Privacy. We are a small team of highly experienced senior data professionals that combine DBA, Data Engineering, and Software Engineering backgrounds, and have a lot to teach and learn from one another. We work on projects that help the company succeed, build the foundation of a data-driven organization, and help us learn and grow along the way. And even though we are remote and spread throughout the US and Canada, we find time to play and have fun together as well. We like each other as more than colleagues - we get along as human beings, people working together toward the same common goal.

The top creative and technical minds could work anywhere. So why are so many of them choosing Alludo? Here are three reasons:
This is the moment. It's an exciting time at Alludo, with new leadership, a refreshed brand (you probably know us as Corel!), and a whole new approach to changing the way the world works. We're at the forefront of a movement, and we want you to ride this wave with us.
We want you to be you. Too often, companies tell you about their culture and then expect you to fit it. Our culture is built from the people who work here. We want you to feel safe to be who you are, take risks, and show us what you've got.
It's your world. We know you have a life. We want to be part of it, but not all of it. At Alludo, we're serious about empowering people to work when, how, and where they want. Couch? Sweatpants? Cool with us. We believe that happy employees mean happy customers. That's why we hire amazing people and get out of their way.

Sound good so far? Awesome. Let's talk more about the Senior Data Infrastructure Engineer role and see if we're destined to be together.

As a Senior Data Infrastructure Engineer, you will:
Plan database capacity including sizing estimation of compute and storage requirements for databases by monitoring usage and trends.
Monitor and analyze information and database systems and evaluate their performance to discover ways of enhancing them
Design and implement Highly Available cloud-based database systems.
Design and implement policies and procedures for disaster recovery and data archiving to ensure effective protection and integrity of data assets.
Determine security requirements, and the need for network and security controls.
Implement cloud-based database authentication and authorization
Design and execute Premise-to-Cloud and Cloud-to-Cloud database migrations, including dependency identification and cross-team coordination with the application owners
Create standard build guide parameters and configuration for all database platforms.
Create migration plans for Production servers with near zero downtime
Develop database installation, data migration and upgrade scripts, which are part of CI/CD.
Install, build, configure and deploy cloud database solutions based on technical and business requirements
Implement database performance monitoring, fault monitoring and security monitoring in AWS cloud
Manage production testing and QA database environments.
Troubleshoot complex data-related problems and database errors.
Provide documentation as appropriate including design documentation
Create and maintain point-to-point integrations between systems / environments
What YOU bring to the table:     Technical knowledge of AWS Cloud computing architecture/design/best practices
5+ years of experience in design, building and managing secured, highly available database Cloud solutions for enterprise customers
5+ years of experience in database management, maintenance, optimization and performance tuning supporting medium/large global infrastructures
Experience building roadmaps, strategy for migrating legacy data solutions to AWS infrastructure
5+ years of DBA experience, including system migrations of SQL Server, MySQL, PostgreSQL, and Oracle
Knowledge of database security best practices from design to implementation and operations
Experience with cloud database backup and recovery
Experience implementing High Availability and Disaster Recovery infrastructure, including familiarity with Always On, and data replication
Experience with AWS Aurora (MySQL/Postgres)
Knowledge of CloudWatch, IAM configurations.
Experience with implementing operational best practices around change management, escalations, uptime, etc
5+ years of SQL scripting experience
3+ years of Python experience
3+ years of Terraform experience
Bachelor degree in Computer Science, Engineer, Statistics, Informatics, Information Systems or in a similar quantitative field.
Nice to Have:     MS or higher degree in Computer Science, Engineer, Statistics, Informatics, Information Systems or in a similar quantitative field.
Experience using CI/CD tools and automation for database deployments in AWS
Liquibase experience
Experience with Snowflake
Experience with DocumentDB and DynamoDB
Experience with AWS DMS
SSIS experience
US (The Company)     Alludo is an award-winning solution that has millions of users and decades of innovation under our belts.
We offer a fully remote workspace, and we mean it. There is no pressure to work in an office whatsoever.
Hours are flexible! You've worked hard to build your life, and we don't want you to give it up for work.
Our team is growing fast, and there's a ton of energy and a lot of really smart, motivated, fun people ready to welcome you in.

What are you waiting for? Apply now! We can't wait to meet you.

(FYI, we're lucky to have a lot of interest and we so appreciate your application, though please note that we'll only contact you if you've been selected for an interview.)

About    Alludo

Alludo is a beloved and trusted industry titan fueled by make-everything-easier flexibility. With a 30+ year legacy of innovation, we understand where you've been and we're uniquely equipped to get you where you want to be. Our comprehensive collection of creative, collaborative, and productivity solutions propel your teams on their journey. From meeting your deadlines to realizing your dreams, Alludo empowers all you do.

Our products enable millions of connected knowledge workers around the world to do great work faster. Our success is driven by an unwavering commitment to deliver a broad portfolio of innovative applications - including CorelDRAW®, MindManager®, Parallels®, and WinZip® - to inspire users and help them achieve their goals.

It is our policy and practice to offer equal employment opportunities to all qualified applicants and employees without regard to race, color, age, religion, national origin, sex, political affiliation, sexual orientation, marital status, disability, veteran status, genetics, or any other protected characteristic.

Alludo is committed to an inclusive, barrier-free recruitment and selection process and work environment. If you are contacted for a job opportunity, please advise us of any accommodation that are required. Appropriate accommodations will be provided upon request as required by Federal and Provincial regulations and Company Policy. Any information received relating to accommodations will be treated as confidential.

#LI-Remote

Data Infrastructure Engineer Jobs in San Francisco, CA

Founding Data Infrastructure Engineer
December 19, 2024

Data Infrastructure Engineer
December 11, 2024

Data Infrastructure Engineer
December 9, 2024

Data Infrastructure Engineer
December 9, 2024

Data Infrastructure Engineer
December 8, 2024

Data Infrastructure Engineer
December 8, 2024

Senior Data Infrastructure Engineer
November 26, 2024

Quick filters

Top companies

Data Infrastructure Engineer Jobs in San Francisco, CA

Founding Data Infrastructure EngineerDecember 19, 2024

Data Infrastructure EngineerDecember 11, 2024

Data Infrastructure EngineerDecember 9, 2024

Data Infrastructure EngineerDecember 9, 2024

Data Infrastructure EngineerDecember 8, 2024

Data Infrastructure EngineerDecember 8, 2024

Senior Data Infrastructure EngineerNovember 26, 2024

Quick filters

Top companies

Founding Data Infrastructure Engineer
December 19, 2024

Data Infrastructure Engineer
December 11, 2024

Data Infrastructure Engineer
December 9, 2024

Data Infrastructure Engineer
December 9, 2024

Data Infrastructure Engineer
December 8, 2024

Data Infrastructure Engineer
December 8, 2024

Senior Data Infrastructure Engineer
November 26, 2024