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MTS, Data Infrastructure Engineer

About Delphina

  • Today’s 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. 

  • 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 is an AI Agent for Data Science: leveraging 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.

  • 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.

  • We're backed by top AI investors, including Fei-Fei Li, Radical VC, and Costanoa VC.

  • 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.

What you’ll do 

  • We're looking for an experienced Data Infrastructure Engineer to join as a Member of our Technical Staffat Delphina. 

  • 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.

  • You will be responsible for:

    • Developing solutions that will orchestrate and support massive quantities of data through stages like ingestion, indexing/mining, transformation, machine learning, online deployment

    • Developing platforms that enable scientists, researchers, developers to run ML jobs easily and quickly at scale using the latest technologies

    • Defining a consistent continuous integration/deployment model that will encourage cross-functional development teams to self-service application unit testing, deployment and operations

    • Influencing and lead cross-functional initiatives that will align the team towards commonly used technologies and methodologies

What we’re looking for 

  • Hands on experience in building distributed systems, including real-time streaming and batch data processing

  • Proficiency in multiple programming languages relevant for such systems (e.g. Python, Rust, C++, Go, Java)

  • Knowledge about what it takes to deploy and operate high availability production systems in the cloud

  • Experience designing service-oriented architectures and leveraging various data store technologies

  • Energy and ambition to build a product that is surprisingly good in surprising ways

  • 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

Nice to haves 

  • Experience working directly on machine learning – either by partnering with scientists and engineers who are building models or by building models yourself

  • Experience leading cross-functional teams through ambiguous problems

Benefits

  • Equity in the company

  • Medical, dental, and vision insurance

  • 401k

  • Unlimited PTO

  • Top of the line Apple equipment

  • Free lunch in the office twice a week

Average salary estimate

$110000 / YEARLY (est.)
min
max
$90000K
$130000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About MTS, Data Infrastructure Engineer, Delphina

Delphina is on the hunt for a dedicated MTS, Data Infrastructure Engineer to help revolutionize data science. Imagine joining a team where your expertise can greatly reduce the frustrations that today’s Data Scientists face. You’ll be working in a vibrant environment in San Francisco, truly contributing to our mission of using data to understand the present and predict the future. As a key player among the early hires at Delphina, you’ll be interfacing closely with our product direction, making critical technical decisions that shape both our technology stack and culture. Your day-to-day will include developing robust solutions that manage vast amounts of data through its lifecycle—from ingestion to deployment, while also creating user-friendly platforms that simplify machine learning jobs for scientists and developers. You’ll have the chance to instill a consistent CI/CD model that encourages self-service unit testing and deployment within teams. At Delphina, we're searching for individuals who possess a strong background in distributed systems, programming in various languages such as Python and Java, and aren’t afraid to innovate. The energy and ambition to create unique solutions are paramount. If you’re eager to build something surprising and continuously improve not just the product but also yourself, then Delphina is the right fit for you!

Frequently Asked Questions (FAQs) for MTS, Data Infrastructure Engineer Role at Delphina
What are the main responsibilities of an MTS, Data Infrastructure Engineer at Delphina?

As an MTS, Data Infrastructure Engineer at Delphina, your key responsibilities include developing solutions for managing large volumes of data, creating platforms that simplify ML jobs, and establishing a consistent CI/CD model. You will collaborate with cross-functional teams to advance our technology and ensure effective deployment and operation of production systems.

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What qualifications are needed for the MTS, Data Infrastructure Engineer role at Delphina?

Candidates should have hands-on experience with distributed systems, proficiency in programming languages such as Python, Rust, and Java, and a solid understanding of deploying high availability production systems in the cloud. Familiarity with service-oriented architecture and various data storage technologies is also essential.

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What can I expect from the work environment as an MTS, Data Infrastructure Engineer at Delphina?

At Delphina, you'll enjoy a collaborative and innovative work environment based in San Mateo, CA. The role requires in-person presence 2 days a week, allowing for meaningful interaction with your fellow team members, as well as opportunities for remote work in select cases.

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What personal qualities does Delphina look for in an MTS, Data Infrastructure Engineer?

Delphina values candidates who possess a growth mindset, an intrinsic desire to improve both themselves and the product, and the energy to build highly effective systems. Successful candidates are those who thrive in ambiguous problems and demonstrate ambition toward innovation and quality.

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What benefits does Delphina offer to the MTS, Data Infrastructure Engineer?

As an MTS, Data Infrastructure Engineer at Delphina, you can expect a comprehensive benefits package that includes equity in the company, medical, dental, and vision insurance, a 401k plan, unlimited PTO, top-of-the-line Apple equipment, and free lunch in the office twice a week.

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Common Interview Questions for MTS, Data Infrastructure Engineer
Can you explain your experience with distributed systems?

When answering this question, focus on specific projects where you developed or maintained distributed systems. Highlight the technologies used, the architecture implemented, and any challenges overcome during those projects.

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How do you ensure high availability in cloud environments?

Discuss your understanding of redundancy, failover strategies, and load balancing techniques. Share examples of how you’ve implemented these strategies in your past work to maintain system uptime.

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What tools have you used for CI/CD processes?

Provide a list of the tools you've worked with (e.g., Jenkins, GitLab CI/CD) and describe how you’ve implemented them in past projects. Explain key benefits these tools brought to your workflow.

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How do you approach data ingestion and transformation?

Describe your process for ingesting and transforming data using modern frameworks and languages. Be specific about the tools or languages you used and how they contributed to the efficiency of the data pipeline.

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What programming languages do you feel most comfortable with and why?

Be honest about your proficiency in programming languages relevant to the role. Highlight your experience, projects completed in each language, and why you find them suitable for data infrastructure challenges.

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Can you describe a challenging problem you've solved in your previous work?

Choose a specific challenge related to data infrastructure or engineering and detail the problem, your thought process, and the solution you implemented. Highlight the impact of your solution.

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How do you stay updated on the latest trends in data engineering?

Talk about specific resources you engage with, such as blogs, webinars, or conferences. Mention any online courses or certifications that have helped you expand your knowledge.

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Have you ever led a cross-functional project? Can you give an example?

If applicable, share a brief story of a cross-functional project, detailing your leadership role, the team dynamics, and the project's outcomes. Highlight collaboration skills and initiatives taken.

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What is your experience with cloud platforms?

Discuss your hands-on experience with cloud platforms like AWS, GCP, or Azure. Share specific tasks you’ve managed related to deploying or scaling solutions in the cloud.

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How do you prioritize competing technical demands?

Explain your approach to prioritization, which may include assessing impact, urgency, or aligning with company goals. Provide an example of how you've navigated this in past roles.

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MATCH
VIEW MATCH
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
No info
HQ LOCATION
No info
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
March 26, 2025

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