Senior Deployment Engineer

Permanent employee, Full-time · Remote (UTC +/- 2 hrs)

About the role

The Senior Deployment Engineer at Apheris plays a critical role in ensuring that the Apheris Compute Gateway is successfully integrated, running, and tested within a client's environment. This position is pivotal in channeling feedback from customer deployments to enhance the self-service capabilities of the Apheris product. The Senior Deployment Engineer drives product development to support flexible Compute Gateway deployments across diverse client environments. They engage early in the onboarding process, supporting Professional Services, Pre-Sales, and Customer-facing Solution Engineering during the contracting phase, addressing deep technical questions from clients’ cloud or infrastructure engineers. The SDE also challenges integration decisions to ensure seamless integration with existing pipelines or components. Exploring integrations with platforms like Kaapana and other data aggregators such as TriNetX is part of their responsibilities. The role involves self-managed capacity planning to provide accurate deployment timelines to clients and client-facing teams. Post-contracting, the SDE provisions deliverables or directly deploys the gateway, acting as the primary troubleshooting contact until full functionality is achieved. Depending on the project size and use case, they may serve as the sole technical contact throughout the deployment phase.

What you will do

Ensure the Apheris Compute Gateway is integrated, running, and tested in client environments.
Channel feedback from customer deployments to enhance the Apheris product.
Drive product development for flexible Compute Gateway deployments in various client environments.
Support Professional Services, Pre-Sales, and Customer-facing Solution Engineering during the client journey.
Address technical questions from clients’ cloud or infrastructure engineers regarding the Apheris Compute Gateway.
Challenge integration decisions to ensure compatibility with existing client pipelines or components.
Manage capacity planning to provide accurate deployment timelines.
Provision deliverables or deploy the Gateway directly, depending on the deployment mode.
Act as the initial troubleshooting contact until the Gateway is fully operational.
Serve as the sole technical contact during the deployment phase for certain projects and use cases.

You should apply if

7+ years of relevant working experience, a Bachelor / Master / PhD in Computer Science or related fields (e.g., Physics, Mathematics, Engineering)
Expert experience with building secure distributed/federated systems, involving technologies like Docker and microservices architectures in general
Experience with multiple cloud providers (e.g., AWS, Azure, GCP, OpenStack) and on-premise setups (e.g., locally hosted Kubernetes)
Coding skills, preferably in Python or Go
Proven track record of implementing Infrastructure as Code in enterprise scale environments
Experience with Github actions or similar, as well as DevOps and CI/CD
Passionate about continuous learning, demonstrated agility in quickly adopting and mastering new technologies
Excellent communicator: you are fluent in English (verbal and written) and communicate in a constructive and proactive manner
You are confident to take ownership of a problem, gather ideas to solve it and convey your approach efficiently
You have genuine interest in working with cutting-edge technology in a fast-paced environment and a start-up
You strive in working daily with our end-clients and infrastructure engineers of them

Bonus points if

Experience in designing, building and operating large-scale products consisting of several distributed services / microservices connected via the public internet, involving technologies like gRPC
Good knowledge of modern Microservices and Web Application Security (e.g., OWASP)
Experience in developing enterprise-grade software for large B2B products
Experience with federated or distributed learning and analytics platform and projects
Experience working as part of an agile product development team
Based in Munich

What we offer you

Industry-competitive compensation
Early-stage equity
Remote-first working – work where you work best, whether from home or a co-working space near you
The right hardware to make you efficient – be it a laptop with Linux, Windows or a MacBook
Great suite of benefits including a wellbeing budget, mental health benefits, a work from home budget, a co-working stipend and a learning and development budget
Regular team lunches and social events
Generous holiday allowance (location-dependent)
Quarterly All Hands meet-up at our Berlin HQ
A fun and diverse team of mission-driven individuals with a drive to see AI and ML used for good
Plenty of room to grow personally and professionally and shape your own role

Here’s a bit more about our culture and ambitions at Apheris!

About Apheris

Finding solutions to the planet’s most urgent problems requires organizations to collaborate. But the data and insights needed to solve these challenges are locked away in businesses, unable to be centralized or directly shared for collaboration with customers and partners.
Apheris is pioneering a new way for organizations to securely collaborate on even the most sensitive data across organizational and geographical boundaries. By unlocking value from sensitive data, Apheris is accelerating discovery and innovation, driving operational efficiency, and reducing risk and carbon impact for our customers and their partners.
Apheris was founded in 2019 after our co-founders built data applications that couldn't be used as data was distributed across departments and couldn’t be shared or centralized as a result of regulation. From this they got thinking: what if the data didn’t have to move and instead the computation was sent to the data? Fast-forward to today, Apheris is a platform that empowers businesses to run advanced analytics and machine learning models across organizational and geographical borders in a way that’s secure, private, and governed. By powering their data infrastructure with federated ML and analytics, they are able to build and operationalize data applications in ways previously not possible.
At Apheris, we’re unified by our mission and the positive impact we can have. We’re excited by the potential we can bring with our federated approach and are looking for the next addition to our marketing team to join us in realizing our mission.

Logistics

Our interview process is split into three phases:

Initial Screening: If your application matches our requirements, we invite you to an initial video call to explore the fit. In this 30-45 minutes interview, you will get to know us and the role. The interviewer will be interested in your relevant experiences and skills, as well as answer any question on the company and the role itself that you may have.
Deep Dive: In this phase, a domain expert from our team will assess your skills and knowledge required for the role by asking you about meaningful experiences or your solutions for specific scenarios in line with the role we are staffing.
Final Interview: Finally, we invite you for up to three hours of targeted sessions with our founders, talking about our culture and meeting future co-workers on the ground.

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We appreciate your interest in Apheris. Please fill in the following short form. Should you have any difficulties in uploading your files, please contact us by mail at career@apheris.com.