Principal Cloud Platform Engineer - Core Infra

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Requirements:

• 10+ years of experience in Software Engineering, SRE, or Infrastructure roles, with a demonstrated focus on distributed systems and platform-level challenges.
• Deep expertise in designing, scaling, and operating cloud-native systems on AWS or GCP.
• Proven ability to architect infrastructure as code with tools like Terraform or CloudFormation.
• Advanced programming skills in languages such as Java, Python, or Scala.
• Extensive experience with messaging systems (e.g., Kafka) and distributed databases (e.g., BigTable, Snowflake).
• Strong knowledge of containerization and orchestration technologies such as Kubernetes.
• A track record of reducing operational complexity through automation, observability, and self-healing systems.
• Experience influencing architectural decisions across multiple engineering teams.
• Excellent collaboration and communication skills, with a history of mentoring and cross-functional leadership.

Responsibilities:

• Provide technical leadership and vision for Sift’s online infrastructure—ensuring it is highly available, performant, and scalable.
• Drive architecture and design of immutable, fault-tolerant, multi-region infrastructure and services.
• Lead the implementation of sophisticated multi-region deployments (e.g., BigTable clusters with regional routing strategies) to meet global customer needs.
• Solve high-scale, high-throughput problems requiring deep understanding of messaging systems, distributed data stores, and real-time computation.
• Guide improvements to developer workflows, CI/CD pipelines, and local development environments to streamline efficiency across teams.
• Architect and build robust internal libraries and platforms for interacting with our core systems—data stores, messaging layers, and infrastructure services.
• Develop proactive monitoring and self-healing systems to improve the resilience of critical services.
• Act as a strategic advisor to engineering teams, providing deep technical guidance on data architecture, service optimization, caching strategies, and scalability planning.
• Participate in and help evolve our on-call strategy, ensuring rapid and effective incident response while reducing long-term operational toil.
• Mentor and coach senior engineers across teams, driving engineering excellence and knowledge sharing.