Cloud Platform Architect

Who Are You

We seek a highly skilled and experienced Cloud Platform Architect to join our dynamic and growing Cloud Platform team. As a Cloud Platform Architect, you will play a crucial role in strengthening and expanding the core of our cloud infrastructure. We want you to lead the way in scaling our cloud infrastructure for our customers, engineers, and data science teams. You will work alongside talented cloud platform and software engineers and architects to envision how all cloud infrastructure will evolve to support the expansion of Signifyd’s core products. The ideal candidate must: 

• Effectively communicate complex problems by tailoring the message to the audience and presenting it clearly and concisely. 
• Balance multiple perspectives, disagree, and commit when necessary to move key company decisions and critical priorities forward.
• Understand the inner workings of Cloud Service Providers (CSPs) such as AWS, GCP, and Azure. Able to understand networking and security concepts core and most relevant within the space.
• Ability to work independently in a dynamic environment and proactively approach problem-solving.
• Be committed to achieving positive business outcomes via automation and enablement efforts, reducing costs, and improving operational excellence.
• Be an example for fellow engineers by showcasing customer empathy, creativity, curiosity, and tenacity.
• Have strong analytical and problem-solving skills, with the ability to innovate and adapt to fast-paced environments.
• Design and build clear, understandable, simple, clean, and scalable solutions.
• Champion an Agile and ‘DevOps’ mindset across the organization.

What You'll Do

• Modernize Signifyd’s Cloud Platform to scale for security, cost, operational excellence, reliability, and performance, working closely with Engineering and Data Science teams across Signifyd’s R&D group.
• Create and deliver a technology roadmap focused on advancing our cloud performance capabilities, supporting our real-time fraud protection and prevention via our core products.
• Work alongside Architects, Software Engineers, ML Engineers, and Data Scientists to develop innovative big data processing solutions for scaling our core product for eCommerce fraud prevention.
• Take full ownership of our Cloud Platform evolution to support low-latency, high-quality, high-scale decisioning for Signifyd’s flagship product.

• Architect, deploy, and optimize Cloud Solutions to evolve our technology stack, including Multi-Account strategy, best practices around data access, IAM and security rules, and the best approaches for optimized and secure access to our infrastructure.
• Implement Engineering Enablement automation and best-of-breed solutions for Developer Tooling to support Elite DORA metrics measurements and optimal Engineering Experience.
• Mentor and coach fellow engineers on the team, fostering an environment of growth and continuous improvement.
• Identify and address gaps in team capabilities and processes to enhance team efficiency and success.

What You'll Need

• Ideally has 10-15+ years in cloud infrastructure engineering and automation, including at least five years of experience as a cloud engineering architect or lead. Have successfully navigated the challenges of working with large-scale cloud environments encompassing millions of dollars of computing costs and many petabytes of data storage and process.
• Deep understanding of best practices and current trends in cloud providers, are comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing; experience in understanding Apache Spark or Databricks is a plus.
• Deep understanding of Container-based systems such as Kubernetes (k8s), Docker, ECS, EKS, GKE, and others.
• Deep understanding of Networking concepts such as DNS / Route53, ELB/ALB, Networking load balancing, IAM rules, VPC peering and data connectivity, NAT gateways, Network bridge technology such as Megaport, and others.
• Experience converting existing Cloud infrastructure to serverless architecture patterns (AWS Lambda, Kinesis, Aurora, etc.), deploying via Terraform, Pulumi, or AWS Cloud Formation / CDK.
• Hands-on expertise in data technologies with proficiency in technologies such as Spark, Airflow, Databricks, AWS services (SQS, Kinesis, etc.), and Kafka. Understand the trade-offs of various architectural approaches and recommend solutions suited to our needs.
• Executed the planning of product and infrastructure software releases
• Experience in developing, deploying, and managing CI/CD developer tooling like AWS Code Commit, Code Build, Code Deploy, Code Pipeline, JetBrains TeamCity, and GitHub Enterprise.
• Understanding how to appropriately deploy, integrate, and maintain Developer build and scanning tools such as Develocity Gradle Enterprise, Sonarqube, Maven, Snyk, CyCode, and others.
• Deep knowledge of best practices around Logging, Monitoring, and Observability tools such as AWS Cloudwatch, Datadog, Loggly, and others.
• Demonstrable ability to lead and mentor engineers, fostering their growth and development. 
• You have successfully partnered with Product and Engineering teams to lead through strategic initiatives.
• Commitment to quality: you take pride in delivering work that excels in accuracy, performance, and reliability, setting a high standard for the team and the organization.

#LI-Remote

Benefits in our US offices:

• Discretionary Time Off Policy (Unlimited!)
• 401K Match
• Stock Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• On-Demand Therapy for all employees & their dependents
• Dedicated learning budget through Learnerbly
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Account (FSA)
• Short Term and Long Term Disability Insurance
• Life Insurance
• Company Social Events
• Signifyd Swag

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.