Senior Platform Engineer AI Team (100% remotefriendly within Poland)
Offer summary
Qualifications:
Strong experience with Kubernetes., Knowledge of Terraform, Crossplane, and Helm charts is a plus., Experience with CI/CD tools like GitHub Actions, Argo CD, and Argo Rollouts., Familiarity with AWS cloud infrastructure, GPU workloads, and Python applications at scale..Key responsibilities:
- Design, implement, and manage AI platform architecture.
- Collaborate with product teams to understand and support their technical needs.
- Ensure high availability, scalability, and security of AI services.
- Troubleshoot issues and optimize system performance.
Job description
Company Description
Welcome to the good side of tech đź‘‹
You might have heard about us, but with a different name: Znanylekarz. It all started 10 years ago when we asked ourselves: is anyone in healthcare thinking about patients? We jumped in and we empowered patients by giving them access to leave and read reviews about their visit. We then provided doctors with the technology to manage bookings easily and save time, so they could devote themselves to what they always wanted: treating patients. And today is the day in which we ask you: wanna join us in the next step of making the healthcare experience more human?
Docplanner at scale
We are leaders in 13 countries so far, and more than 90 million patients trust us every month. 300.000+ specialists believe in us and our product, and so do leading venture capital funds such as Point Nine Capital, Goldman Sachs Asset Management and One Peak Partners. And yet, employing over 2.500 people all over the globe, we managed to keep the startupmindset we started with over 10 years ago.
How does Docplanner Tech fit here?
At Docplanner Tech we are a diverse group of over 400 people working in Engineering, Data, and Product teams. We are responsible for building the product for all locations. Many of us have been here for over 5 years, yet we still welcome each new person with great joy and excitement.
We could tell you about us, but we will let our reviews on Glassdoor speak for themselves. In case you’d like to see how it feels to be 100% yourself at work, here’s a video of us.
Job DescriptionThe Internal Platform is a pivotal foundation that accelerates product development by providing a reliable, scalable, and selfservice ecosystem. It supports the entire software lifecycle and is meticulously tailored to meet the organization’s technological needs and strategic direction.
The platform enables development teams to operate autonomously in 80% of cases, reducing dependency on the Internal Platform area, and ensuring that compliance, security, and business continuity are integrated across the entire platform defending general reliability of services, and data integrity.
Overall, a platform engineering team plays a critical role in ensuring a companys technology infrastructure is reliable and scalable.
The Internal Platform area consists of 34 people including 27 individual contributors 2 Staff Engineers, 4 Engineering Managers and Head of Internal Platform. The team is organized in a way to efficiently address Stakeholders needs.
The AI Platform Engineers team is a part of the Internal Platform area and nowadays consists of 1 Platform Engineer, Software Engineer, and an Engineering Manager. The team is accountable for designing, building and maintaining the company AI infrastructure. Ensuring high availability, scalability, security and cost efficiency. As AI needs are growing, we are intensely growing that team to be “The Magnificent Seven”.
What are the challenges in the team?
The complexity of the Docplanner organization: Docplanner is a complex organization with multiple teams working on various products and services. One of the main challenges for the platform engineering teams is to understand and integrate the diverse technology stacks used by different teams.
Scalability and reliability of systems: As Docplanner grows and expands, the demand for the technology infrastructure also increases. The platform engineering team must ensure that the systems are designed to handle high traffic, are scalable, and secure
Who will you work closely with?
You will work closely with Product Teams to understand their technical requirements and provide them with the necessary tools, services, and infrastructure to support their development efforts. Your insights and expertise will contribute to enhancing the efficiency and effectiveness of their workflows.
How would you be impacting our mission?
- Design, implement, and manage AI Platform architecture.
- Control AIrelated costs, including models, GPUs, and other resources.
- Work closely with Product teams to provide technical expertise and propose innovative solutions.
- Guarantee highly available AI services through best practices and automation.
- Collaborate with ML teams to operationalize AI models and integrate them into systems.
- Troubleshoot critical issues and continuously optimize system performance.
- Provide daytoday support to team members and contribute to knowledge sharing.
QualificationsWhat will help you thrive?
- Strong experience with Kubernetes (musthave).
- Knowledge of Terraform, Crossplane (nice to have) and Helm charts.
- Experience with CICD tools like GH Actions, Argo CD and Argo Rollouts.
- Familiarity with tools like Karpenter, KEDA, Velero and Cilium.
- Experience building secure, scalable, and highavailability environments on AWS.
- Understanding of Disaster Recovery Planning and strategies for cloud infrastructure.
- Cloud AI offering: familiar with AWS Bedrock or Azure OpenAI
- Experience with Python apps at scale.
- Experience working with GPUs and distributing workloads.
- Be prepared to work in a startuplike environment, where priorities can shift quickly, tasks evolve rapidly, and flexibility is key to success in our fastpaced setting.
- Comfortable scripting or developing tools in Bash or Go.
- You can communicate in English (both spoken and written min. B2 level).
- Growth mindset: nobody ticks all those boxes above, but willingness to learn is strongly valued here.
Additional InformationCompensation structure
- A salary adequate to your experience and skills between. Your salary will be, now and always, 100% transparent to you;
- Share options plan after 6 months of working with us.
True flexibility and worklife balance
- Remote or hybrid work model with or hub in Warsaw;
- Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly);
- 2026 days of paid time off (depending on your contract);
- Additional paid day off on your birthday or work anniversary (you choose what you want to celebrate).
Welcome to the good side of tech đź‘‹
You might have heard about us, but with a different name: Znanylekarz. It all started 10 years ago when we asked ourselves: is anyone in healthcare thinking about patients? We jumped in and we empowered patients by giving them access to leave and read reviews about their visit. We then provided doctors with the technology to manage bookings easily and save time, so they could devote themselves to what they always wanted: treating patients. And today is the day in which we ask you: wanna join us in the next step of making the healthcare experience more human?
Docplanner at scale
We are leaders in 13 countries so far, and more than 90 million patients trust us every month. 300.000+ specialists believe in us and our product, and so do leading venture capital funds such as Point Nine Capital, Goldman Sachs Asset Management and One Peak Partners. And yet, employing over 2.500 people all over the globe, we managed to keep the startupmindset we started with over 10 years ago.
How does Docplanner Tech fit here?
At Docplanner Tech we are a diverse group of over 400 people working in Engineering, Data, and Product teams. We are responsible for building the product for all locations. Many of us have been here for over 5 years, yet we still welcome each new person with great joy and excitement.
We could tell you about us, but we will let our reviews on Glassdoor speak for themselves. In case you’d like to see how it feels to be 100% yourself at work, here’s a video of us.
Job DescriptionThe Internal Platform is a pivotal foundation that accelerates product development by providing a reliable, scalable, and selfservice ecosystem. It supports the entire software lifecycle and is meticulously tailored to meet the organization’s technological needs and strategic direction.
The platform enables development teams to operate autonomously in 80% of cases, reducing dependency on the Internal Platform area, and ensuring that compliance, security, and business continuity are integrated across the entire platform defending general reliability of services, and data integrity.
Overall, a platform engineering team plays a critical role in ensuring a companys technology infrastructure is reliable and scalable.
The Internal Platform area consists of 34 people including 27 individual contributors 2 Staff Engineers, 4 Engineering Managers and Head of Internal Platform. The team is organized in a way to efficiently address Stakeholders needs.
The AI Platform Engineers team is a part of the Internal Platform area and nowadays consists of 1 Platform Engineer, Software Engineer, and an Engineering Manager. The team is accountable for designing, building and maintaining the company AI infrastructure. Ensuring high availability, scalability, security and cost efficiency. As AI needs are growing, we are intensely growing that team to be “The Magnificent Seven”.
What are the challenges in the team?
The complexity of the Docplanner organization: Docplanner is a complex organization with multiple teams working on various products and services. One of the main challenges for the platform engineering teams is to understand and integrate the diverse technology stacks used by different teams.
Scalability and reliability of systems: As Docplanner grows and expands, the demand for the technology infrastructure also increases. The platform engineering team must ensure that the systems are designed to handle high traffic, are scalable, and secure
Who will you work closely with?
You will work closely with Product Teams to understand their technical requirements and provide them with the necessary tools, services, and infrastructure to support their development efforts. Your insights and expertise will contribute to enhancing the efficiency and effectiveness of their workflows.
How would you be impacting our mission?
- Design, implement, and manage AI Platform architecture.
- Control AIrelated costs, including models, GPUs, and other resources.
- Work closely with Product teams to provide technical expertise and propose innovative solutions.
- Guarantee highly available AI services through best practices and automation.
- Collaborate with ML teams to operationalize AI models and integrate them into systems.
- Troubleshoot critical issues and continuously optimize system performance.
- Provide daytoday support to team members and contribute to knowledge sharing.
QualificationsWhat will help you thrive?
- Strong experience with Kubernetes (musthave).
- Knowledge of Terraform, Crossplane (nice to have) and Helm charts.
- Experience with CICD tools like GH Actions, Argo CD and Argo Rollouts.
- Familiarity with tools like Karpenter, KEDA, Velero and Cilium.
- Experience building secure, scalable, and highavailability environments on AWS.
- Understanding of Disaster Recovery Planning and strategies for cloud infrastructure.
- Cloud AI offering: familiar with AWS Bedrock or Azure OpenAI
- Experience with Python apps at scale.
- Experience working with GPUs and distributing workloads.
- Be prepared to work in a startuplike environment, where priorities can shift quickly, tasks evolve rapidly, and flexibility is key to success in our fastpaced setting.
- Comfortable scripting or developing tools in Bash or Go.
- You can communicate in English (both spoken and written min. B2 level).
- Growth mindset: nobody ticks all those boxes above, but willingness to learn is strongly valued here.
Additional InformationCompensation structure
- A salary adequate to your experience and skills between. Your salary will be, now and always, 100% transparent to you;
- Share options plan after 6 months of working with us.
True flexibility and worklife balance
- Remote or hybrid work model with or hub in Warsaw;
- Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly);
- 2026 days of paid time off (depending on your contract);
- Additional paid day off on your birthday or work anniversary (you choose what you want to celebrate).
The Internal Platform is a pivotal foundation that accelerates product development by providing a reliable, scalable, and selfservice ecosystem. It supports the entire software lifecycle and is meticulously tailored to meet the organization’s technological needs and strategic direction.
The platform enables development teams to operate autonomously in 80% of cases, reducing dependency on the Internal Platform area, and ensuring that compliance, security, and business continuity are integrated across the entire platform defending general reliability of services, and data integrity.
Overall, a platform engineering team plays a critical role in ensuring a companys technology infrastructure is reliable and scalable.
The Internal Platform area consists of 34 people including 27 individual contributors 2 Staff Engineers, 4 Engineering Managers and Head of Internal Platform. The team is organized in a way to efficiently address Stakeholders needs.
The AI Platform Engineers team is a part of the Internal Platform area and nowadays consists of 1 Platform Engineer, Software Engineer, and an Engineering Manager. The team is accountable for designing, building and maintaining the company AI infrastructure. Ensuring high availability, scalability, security and cost efficiency. As AI needs are growing, we are intensely growing that team to be “The Magnificent Seven”.
What are the challenges in the team?
The complexity of the Docplanner organization: Docplanner is a complex organization with multiple teams working on various products and services. One of the main challenges for the platform engineering teams is to understand and integrate the diverse technology stacks used by different teams.
Scalability and reliability of systems: As Docplanner grows and expands, the demand for the technology infrastructure also increases. The platform engineering team must ensure that the systems are designed to handle high traffic, are scalable, and secure
- Design, implement, and manage AI Platform architecture.
- Control AIrelated costs, including models, GPUs, and other resources.
- Work closely with Product teams to provide technical expertise and propose innovative solutions.
- Guarantee highly available AI services through best practices and automation.
- Collaborate with ML teams to operationalize AI models and integrate them into systems.
- Troubleshoot critical issues and continuously optimize system performance.
- Provide daytoday support to team members and contribute to knowledge sharing.
- Strong experience with Kubernetes (musthave).
- Knowledge of Terraform, Crossplane (nice to have) and Helm charts.
- Experience with CICD tools like GH Actions, Argo CD and Argo Rollouts.
- Familiarity with tools like Karpenter, KEDA, Velero and Cilium.
- Experience building secure, scalable, and highavailability environments on AWS.
- Understanding of Disaster Recovery Planning and strategies for cloud infrastructure.
- Cloud AI offering: familiar with AWS Bedrock or Azure OpenAI
- Experience with Python apps at scale.
- Experience working with GPUs and distributing workloads.
- Be prepared to work in a startuplike environment, where priorities can shift quickly, tasks evolve rapidly, and flexibility is key to success in our fastpaced setting.
- Comfortable scripting or developing tools in Bash or Go.
- You can communicate in English (both spoken and written min. B2 level).
- Growth mindset: nobody ticks all those boxes above, but willingness to learn is strongly valued here.
- A salary adequate to your experience and skills between. Your salary will be, now and always, 100% transparent to you;
- Share options plan after 6 months of working with us.
- Remote or hybrid work model with or hub in Warsaw;
- Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly);
- 2026 days of paid time off (depending on your contract);
- Additional paid day off on your birthday or work anniversary (you choose what you want to celebrate).
True flexibility and worklife balance
Additional Information
Compensation structure
Qualifications
What will help you thrive?
Who will you work closely with?
You will work closely with Product Teams to understand their technical requirements and provide them with the necessary tools, services, and infrastructure to support their development efforts. Your insights and expertise will contribute to enhancing the efficiency and effectiveness of their workflows.
How would you be impacting our mission?
Required profile
Experience
Other Skills
- Growth Mindedness
- Physical Flexibility
- Communication
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