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Job Description
Join the Advanced Data Analytics (ADA) Product Line as a Platform Engineer and help shape the future of AI/ML development experience for researchers and data science teams across all divisions. Product Line mission is to enable users to focus on delivering value to stakeholders and to accelerate the development process. As a member of the Platform Engineering team, you will drive continuous delivery, site reliability and cost efficiency of AI/ML platforms hosted on AWS. You will develop new platform capabilities and collaborate with our Data Science teams to deliver accelerators for our users. Our web-based accelerators range from delivering CI/CD, MLOPs to fully customizable end-to-end Retrieval-Augmented Generation pipelines. Following year we are planning to extend capabilities with AI agents and develop procedures to host and customize LLMs in our platforms in self-service way.
Your expected career path is to grow professionally and take responsibility for the delivery leadership in one of the platforms or initiatives as subject matter expert. North star of your capabilitiesis ability to drive delivery of new products, ensure compliance and fulfill stakeholder requirements.
Infrastructure: AWS, AWS China, On-premise
Product Line: Dataiku, Databricks, Domino, Posit Cloud & On-prem, SAS, AWS OpenSearch, JMP, and Alteryx,
Continuous Delivery: Terraform, Ansible, CloudFormation, Docker, Bash, Python, GitHub Actions,
Observability: ElasticSearch, CloudWatch
Quality Engineering: X-Ray, Robot Framework, Selenium Grid
Elastic Compute: Kubernetes (Karpenter), Slurm, Databricks Clusters
Distributed Processing: Spark, Ray
Product Line Insight Database: Redshift
Operating Systems: Alma Linux, Red Hat, Amazon Linux, Bottlerocket
Responsibilities
Assess and deliver assigned tasks
Conduct root cause analysis
Participate in code reviews and technical discussions
Improve code maintainability, security, reliability, and platform cost efficiency
Collaborate to enhance practices within the engineering team
Automate and simplify the maintenance and lifecycle of platform services
Keep up with current industry trends, cloud-native concepts, best practices, and technologies
Ensure compliance with the System Development Lifecycle (SDLC) and company policy standards
Maintain up-to-date Design & Configuration Specifications.
Assist customers and colleagues
Must-Have Qualifications
Self-sufficiency
A proactive and delivery-oriented mindset
Ability to effectively work in a remote environment with a global team
Capability to review and understand system requirements and business processes
Hands-on experience with:
Git, Docker, Ansible, Terraform, Shell scripting, Python or similar (even more modern) tooling.
AWS Services (VPC, CloudWatch, ALB, Route53, S3, IAM, EKS, etc.) or Azure or Google Cloud
Networking
Linux system administration
Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Information Systems or related experience.
Nice-to-Have Qualifications
Data Science Experience
AI/ML and data processing platforms
MLOPs
LLMOps
RAGs
Agent Frameworks
Vector Databases
Statistical analysis tools
Karpenter, Slurm, Dask, Github Actions or Jenkins
Software Development
Design Patterns
UI & Visualizations
Data Engineering
Spark, Ray, Dask
What we offer:
Exciting work in a great team, global projects, international environment
Opportunity to learn and grow professionally within the company globally.
Hybrid working model, flexible role pattern (e.g., even 80% full-time is possible in justified cases)
Pension and health insurance contributions
Internal reward system plus referral program
5weeks annual leave,5sick days,15days of certified sick leave paid above statutory requirements annually,40paid hours annually for volunteering activities,12weeks of parental contribution.
Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card
Vodafone, Raiffeisen Bank, Foodora, and Mall.cz discount programs.
Up-to-date laptop and iPhone
Parking in the garage, showers, refreshments, massage chairs, library, music corner
Competitive salary, incentive pay, and many more.
Current Contingent Workers apply
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