Play a critical role in ensuring complex, distributed, cloud-native systems remain highly available, scalable, and secure
Own reliability for major platform domains and design scalable solutions on Kubernetes and AWS
Drive automation and reliability improvements across multiple teams
Instrumental in designing, building, and maintaining shared infrastructure services and platforms for product and application teams
Create reusable, reliable, and scalable solutions that abstract away complexity
Design and build core platform components and shared infrastructure services for deployment and operation of applications
Architect, implement, and manage highly available and scalable Kubernetes platforms for internal consumers
Develop internal-facing tools and automation for infrastructure provisioning and management using Go (Golang)
Architect and optimize foundational solutions within Cloud environments like AWS and Azure
Design and implement shared Event-Driven Architecture components and messaging platforms using technologies like Kafka or Google Pub/Sub
Develop and maintain CI/CD pipelines (e.g., GitLab CI and ArgoCD) for standardized deployment workflows
Design and build resilient Distributed Systems components focusing on reliability, fault tolerance, and performance
Manage and optimize shared infrastructure across Multi-Region Cloud Environments
Establish and enhance centralized Observability and Monitoring platforms for insights
Define and implement clear, well-documented RESTful API designs for internal clients
Implement and manage Service Mesh capabilities for traffic management and security
Design, implement, and optimize highly available Relational Database services
Collaborate closely with product development teams for infrastructure needs
Participate in on-call rotations to support critical shared infrastructure
Requirements
6+ years of experience in an Infrastructure Development, Platform Engineering, or Site Reliability Engineering role, with a strong focus on building tools and services for other engineers
Deep expertise with Kubernetes in production environments, particularly in providing it as a platform(i.e single tenant and multi-tenant deployment architectures)
Strong programming skills in Go (Golang) and Python, with experience building robust, maintainable backend services and automation
Extensive hands-on experience with at least one major Cloud Provider (AWS, GCP, or Azure); multi-cloud experience is a strong plus, especially in building abstractions over them
Proven experience designing and implementing Event-Driven Architecture and message queuing systems (e.g., Kafka, RMQ, NATS) as shared services
Solid understanding and practical experience with CI/CD pipeline tools (especially GitLab CI) and experience establishing automated delivery processes for other teams
Demonstrable experience designing and operating Distributed Systems, with an understanding of patterns for creating reliable, shared components
Familiarity with Multi-Region Cloud Environments and strategies for building globally distributed and highly available platform
Proficiency in establishing and utilizing comprehensive Observability and Monitoring platforms (e.g., Prometheus, Grafana, ELK stack, Datadog) for shared infrastructure
Strong experience with RESTful API design principles and building well-documented, consumable APIs
Knowledge of Service Mesh concepts and practical experience with solutions like Istio in a platform context
Hands-on experience with Relational Databases (e.g., MySQL, PostgresSQL), ideally in managing them as a service
Excellent communication skills and the ability to clearly articulate complex technical concepts to both technical and non-technical audiences
A strong customer-centric mindset, treating internal development teams as your primary customers
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience or equivalent military experience required.
Tech Stack
AWS
Azure
Cloud
Distributed Systems
Google Cloud Platform
Grafana
Kafka
Kubernetes
MySQL
Prometheus
Python
Go
Benefits
Work on a large-scale, cloud-native SaaS platform
Solve complex reliability challenges at scale
Influence platform architecture and engineering practices
Competitive compensation, benefits, and career growth