The Senior Platform Engineer will be an expert in infrastructure and developer tooling initiatives across Gametime’s platform. This person will be responsible for designing, implementing, and maintaining core platform systems that support Gametime’s high-scale, cloud-native architecture. This role requires deep fluency in Infrastructure as Code (IaC), container orchestration, CI/CD principles, and developer experience optimization.
In this key role, you will design, build, and optimize scalable automations and integrations across our Salesforce environment and other internal data warehouse systems. You will work closely with Sales, Support, Marketing, and Product teams to ensure our Salesforce instance supports rapid growth while maintaining technical stability and scalability standards. We are looking for someone with a builder mentality who thrives in solving often ambiguous problems, and enjoys creating innovative solutions from the ground up.
Assist in Observability Implementation: Support the development and maintenance of monitoring, logging, and tracing solutions. Monitor & Manage Observability Tools: Help deploy and manage observability platforms. Support Distributed Tracing & Telemetry: Work with OpenTelemetry to collect and export telemetry data for better system insights and debugging. Optimize Logging & Metrics Collection: Assist in implementing structured logging and improving system performance monitoring.
We are seeking an experienced Cloud Engineering Architect to design, build, and manage cloud solutions that align with business needs and industry best practices. The ideal candidate will have a deep understanding of AWS architecture, infrastructure automation, and cloud strategy development, ensuring high-performance, scalable, and secure cloud environments. This role requires strong technical expertise, problem-solving skills, and the ability to collaborate with cross-functional teams.
Responsible for ensuring the Reliability, Performance, Efficiency and Resilience of your team's systems and services, as well as working to ensure that the experience of your customers – other internal engineering teams – steadily improves. Includes implementing and maintaining monitoring systems, collaborating with cross-functional teams to address performance bottlenecks and continuously improving the reliability and scalability of our systems to meet the evolving needs of our users.
Architect secure, high-performance, and scalable solutions tailored for classified and highly regulated systems, working closely with Security, Dataplane, ClickHouse Core and infrastructure teams to ensure compliance with NIST, FedRAMP, Protected B, IRAP and other security frameworks while enabling elastic, limitless scale, high-performance, server-less clickHouse Cloud capabilities in isolated environments.
As a Solutions Architect at Sauce Labs, you will serve as a technical expert and trusted advisor to our customers, driving successful adoption of our products and enabling long-term success. You’ll partner cross-functionally with Sales, Customer Success, Product, and Engineering to ensure our solutions align with customer technical and business goals. This role blends deep technical knowledge with strong business acumen and consulting skills.
As a Senior Distributed Systems Engineer on LaunchDarkly’s Flag Delivery Network (FDN) team, you’ll play a critical role in shaping one of the most high-performance, globally distributed systems powering modern software delivery. You’ll architect and evolve the systems behind our global edge delivery infrastructure, collaborate with SDK and platform teams, and lead initiatives that push the boundaries of what’s possible in edge computing and real-time data propagation.
Play a critical role in shaping the core of our engineering platform and work across backend systems, cloud infrastructure, and deployment pipelines to help simplify service boundaries, improve reliability, and enable faster, safer delivery. This is a hands-on role for someone who thrives on creating clarity from complexity and enjoys building foundations that others can build on confidently.
Shape the future of AI with infrastructure. You’ll use your expertise in cloud platforms, CI/CD, and infrastructure automation to ensure scalable, secure, and efficient environments for building cutting-edge AI applications. Design and maintain cloud-based infrastructure (AWS, GCP, or Azure) for AI development pipelines.