Your new adventure:

• Build and manage our cloud-based infrastructure and configuration for ML platform components on AWS. Make sure it’s secure, compliant and cost-effective
• Design and develop core parts of machine learning infrastructure covering end-to-end ML workflow
• Build and manage Feature Store platform
• Contribute to our batch and stream processing frameworks and tooling
• Build and manage ML platform components to monitor the performance and health of deployed machine learning models
• Document and communicate ML platform components, frameworks and interfaces to ensure consistency and knowledge sharing across the organization
• Troubleshoot and resolve issues related to machine learning model deployment and infrastructure
• Be on-call when it’s your turn, react to alerts and resolve production incidents

Does this sound like you?

• 3+ years of experience in software development
• Experience with cloud computing infrastructure and development on AWS
• Experience with distributed systems for large-scale data processing (like Apache Spark, Apache Flink, Apache Doris, HBase, Redis)
• Experience in building ML systems
• Familiarity with MLOps tooling
• Experience in infrastructure as a code and configuration management tools (like Terraform, Ansible, SaltStack)
• Proficiency in one or more programming languages (preferably Python, Go, Scala)
• Familiarity with agile software development methods (Scrum/Kanban is preferred)
• Effective communication and collaboration skills
• Bachelor or Master in computer science, mathematics or similar relevant experience

Why Pipedrive:

• A value-driven work environment where people come first
• A lively bunch of colleagues from over 50 different countries, with offices in Tallinn, Tartu, Lisbon, Prague, London, Dublin, New York, Florida, Riga and Berlin
• A team serious about getting things done while not taking ourselves too seriously
• A world-class working environment full of perks like parties, craft workshops, snacks, and, of course, office dogs
• Flexible working hours as long as you’re there for your team members
• Freedom to execute your ideas with a passionate and motivated team supporting you lots of room for personal and career development, with internal and external training opportunities
• Competitive salary and bonus system and all the benefits you’d expect from a great employer (health and accident insurance, health days, a quarterly contribution to sports, in-house coaches, employee discounts, and more) 

Pipedrive is an equal-opportunity employer. We encourage diversity in the workplace regardless of age, gender, race, religion, disability, sexual orientation, gender identity or veteran status.
Based on this role's access to certain data, Pipedrive might conduct a pre-employment background investigation in conjunction with your application for employment with our company.  Such data will be handled in accordance with Pipedrive's Privacy Policy for Recruitment. 
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