Hybrid New York City
About the Company
Were 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.
About the Role
Were searching for a Senior or Staff Platform Engineer who thrives on designing elegant systems that just work: fast secure and rock solid at scale. Youll take ownership of the infrastructure that powers the entire platform: from CI/CD pipelines and observability frameworks to container orchestration and database tuning.
Youll 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.
What Youll Do
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.
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 Have
Benefits
Equity participation
Comprehensive health dental and vision coverage
401(k) with company match
VERY Flexible PTO & hybrid work schedule
Fitness and wellness memberships
This is a hybrid role based in NYC. We collaborate in person a few days a week and work remotely the rest.
Required Skills:
Python Django Flask backend development API design distributed systems AWS Kubernetes cloud infrastructure PostgreSQL relational databases system architecture aplatform engineering backend engineering AWS Terraform PostgreSQL CI/CD DevOps Kubernetes Docker infrastructure as code cloud architecture monitoring observability Datadog Prometheus CloudWatch RabbitMQ Kafka Celery distributed systems reliability engineering SLOs scalability performance tuning security IAM secrets management network segmentation compliance automation system design high availability fault tolerance capacity planning cost optimization Python Linux performance optimization software design clean code automation CI/CD data integrity microservices infrastructure integrations reliability fault tolerance application performance cloud services technical ownership product development code quality cross-functional collaboration engineering best practices system reliability data modeling
Hybrid New York CityAbout the CompanyWere 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 r...
Hybrid New York City
About the Company
Were 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.
About the Role
Were searching for a Senior or Staff Platform Engineer who thrives on designing elegant systems that just work: fast secure and rock solid at scale. Youll take ownership of the infrastructure that powers the entire platform: from CI/CD pipelines and observability frameworks to container orchestration and database tuning.
Youll 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.
What Youll Do
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.
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 Have
Benefits
Equity participation
Comprehensive health dental and vision coverage
401(k) with company match
VERY Flexible PTO & hybrid work schedule
Fitness and wellness memberships
This is a hybrid role based in NYC. We collaborate in person a few days a week and work remotely the rest.
Required Skills:
Python Django Flask backend development API design distributed systems AWS Kubernetes cloud infrastructure PostgreSQL relational databases system architecture aplatform engineering backend engineering AWS Terraform PostgreSQL CI/CD DevOps Kubernetes Docker infrastructure as code cloud architecture monitoring observability Datadog Prometheus CloudWatch RabbitMQ Kafka Celery distributed systems reliability engineering SLOs scalability performance tuning security IAM secrets management network segmentation compliance automation system design high availability fault tolerance capacity planning cost optimization Python Linux performance optimization software design clean code automation CI/CD data integrity microservices infrastructure integrations reliability fault tolerance application performance cloud services technical ownership product development code quality cross-functional collaboration engineering best practices system reliability data modeling
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