Senior Software Engineer

• Design, develop, and maintain scalable backend services supporting high-volume content and metadata workflows
• Build and containerize applications using Docker, ensuring consistent deployments across environments
• Drive the migration of services to Kubernetes (EKS), enabling better scalability, observability, and automation
• Develop and manage distributed compute environments and infrastructure that support ML and data-intensive workloads
• Implement infrastructure-as-code with tools like Terraform or CloudFormation to automate provisioning and management
• Work with backend teams to implement event-driven architectures and integrate messaging systems like Kafka or SQS
• Enhance monitoring, alerting, and reliability practices using modern observability tools
• Collaborate on cloud cost optimization and performance improvements across compute and storage layers

• 7+ years of software engineering experience spanning backend and infrastructure domains
• Deep expertise with AWS (EC2, EKS, S3, IAM, CloudWatch) and familiarity with Azure or other cloud platforms
• Strong hands-on experience with Kubernetes, Docker, and microservice architectures
• Strong technical competency and experience in building high-performance and cloud based scalable micro-services
• Proven experience designing and operating large-scale distributed systems and high-performance backend APIs
• Familiarity with Ray, Spark, or other distributed compute frameworks for ML or data processing is a plus
• Strong foundation in infrastructure-as-code, CI/CD pipelines, and DevOps practices
• Understanding of event-driven systems and messaging technologies (Kafka, SQS, Pub/Sub, etc.)
• Demonstrated success in improving cloud efficiency, scalability, and system reliability
• Ability to handle periodic on-call duty as well as out-of-band requests
• strong written and verbal communication skills
• Bachelor’s degree in computer science plus 7 years of experience or equivalent
• Master's degree preferred

Familiarity with Ray, Spark, or other distributed compute frameworks for ML or data processing is a plus

• global access to mental health and financial wellness support and resources
• local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)
• employees can take time off work for vacation and other personal reasons