Senior & Staff Platform Engineer

Calliere Group•New York, NY

6d•Hybrid

About The Position

We’re building a next-generation platform that blends human expertise with modern technology to transform how people connect, plan, and experience the world. Our team operates like a startup inside a rapidly scaling company, backed by top-tier global investors and recognized as one of the most innovative workplaces in tech. Our mission is ambitious: to empower individuals and businesses through a unified ecosystem that handles data, transactions, and automation at scale. We move fast, we care deeply about clean systems design, and we take pride in building reliable, scalable infrastructure that supports millions of end users worldwide. We’re searching for a Senior or Staff Platform Engineer who thrives on designing elegant systems that just work: fast, secure, and rock solid at scale. You’ll take ownership of the infrastructure that powers the entire platform: from CI/CD pipelines and observability frameworks to container orchestration and database tuning. You’ll work alongside backend, product, and data teams to make our platform bulletproof; improving performance, enabling speedier releases, reducing downtime, and setting new standards for developer productivity.

Requirements

5+ years in software engineering, with deep platform or DevOps experience.
Proven success building scalable, high-availability cloud environments (AWS preferred: EKS, RDS, ALB, SQS, etc.).
Experience developing and maintaining Terraform or similar IaC stacks.
Proficiency in CI/CD design patterns and deployment automation.
Expert understanding of database optimization and distributed systems fundamentals.
Familiarity with performance monitoring and cost optimization at cloud scale.
Strong communication skills and an ability to align platform strategy with product needs.

Nice To Haves

Experience scaling B2B or marketplace platforms with high data and transaction volume.
Comfort with Kubernetes internals, service mesh architectures, or multi-region scaling.

Responsibilities

Tune and optimize PostgreSQL performance, monitor connection pools, and maintain reliable replication across multiple regions.
Build self-service CI/CD pipelines with automated rollouts, rollbacks, and progressive deployment strategies.
Manage distributed processing systems and message queues (think RabbitMQ, Kafka, or Celery) to ensure throughput and resilience.
Develop internal tools and frameworks that empower engineering teams to move faster with confidence.
Define infrastructure as code with Terraform (or similar), ensuring every environment is versioned and reviewable.
Enhance observability with rich metrics, logging, and tracing, integrating tools like Datadog, Prometheus, or CloudWatch.
Champion platform security: secrets management, network segmentation, IAM, and compliance.
Establish SLOs and error budgets, supporting a culture of reliability engineering.
Orchestrate containers at scale using Kubernetes or equivalent systems.