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We're seeking a Platform Engineer to build and operate the cloud infrastructure that powers our enterprise AI solutions. This is a core platform position with the potential to lead our infrastructure team for the right candidate. You'll work on challenging problems in observability, scalability, and cost optimization while enabling data science and engineering teams to deliver exceptional products.
Job Responsibility:
Cloud infrastructure architecture and operations (Azure and AWS)
Container orchestration at scale (Kubernetes)
Data platform infrastructure (Spark/Databricks)
Platform observability, performance optimization, and cost management
Infrastructure automation and self-service capabilities
Incident response and system resilience
Build comprehensive monitoring, logging, and tracing systems that provide actionable insights into platform health and performance
Ensure our platform scales efficiently to meet customer demand while maintaining high availability and performance
Drive FinOps practices and cost-aware architecture decisions across our cloud infrastructure
Requirements:
4-6+ years working with production systems at scale
Hands-on experience with cloud infrastructure (Azure or AWS preferred)
Programming ability (Python, Rust, Go, Bash, or others)
Understanding of distributed systems, reliability, and observability
Experience with infrastructure automation and configuration management
Demonstrated ability to work effectively in remote environments
Nice to have:
Experience operating Kubernetes in production environments
Familiarity with data platform infrastructure (Spark, Databricks, or similar)
Multi-cloud experience (Azure and AWS)
Hands-on experience with observability tools and practices
Track record of improving system reliability and scalability
Experience with cloud cost optimization and FinOps practices
Infrastructure as Code tools (Terraform, Pulumi, or similar)
Leadership experience or potential
ML/AI infrastructure experience
security and compliance knowledge
incident management and on-call practices
performance tuning and capacity planning
What we offer:
Monthly fixed contribution to internet bill and fun packets (Netflix, Amazon Prime etc.)
Comprehensive private health insurance
Support for career growth with Udemy, Medium, HBR and other learning tools
Extra off days for different occasions (birthday, moving day, maternity & paternity leaves etc.)
Referral bonus
All-day snacks at the office, team activities, social club meetings, annual retreats, monthly happy Friday drinks and other celebrations
Gaming activities with a Game Master
Awards for teammates who have won awards in arts and sports
Opportunity to participate in social responsibility activities (educational scholarships, donations, sponsorships, fundraising)