ReflexAI - Senior Platform Engineer
Requirements
• 5–7+ years of experience in DevOps, SRE, infrastructure, and platform engineering roles. • Deep hands-on expertise with cloud platforms (GCP and AWS) as well as Terraform and Terragrunt, CloudRun, Fargate, and managed Kubernetes. • Strong experience building and maintaining CI/CD pipelines, guard rails, and golden paths for modern application stacks. • Proficiency in modern observability ecosystems (Datadog experience is a major plus). • Solid understanding of cloud security, IAM, container security, and network architecture. • Experience with and excitement about AI-driven development. • U.S. citizenship is required. This role supports ReflexAI's U.S. Department of Veterans Affairs contract and requires access to systems for which citizenship is a condition of access. • Experience working in a fast-growing startup environment. • Backend-related coding experience, primarily with Typescript • Background supporting machine learning, LLM serving, or data-intensive workloads. • Exposure to compliance frameworks (SOC 2, HIPAA, GDPR, ISO 27001, HITRUST) and knowledge of how this impacts infrastructure, reliability, and platform work. • Prior experience building internal developer platforms or paved-path tooling. • You thrive in environments where the best idea wins. • You enjoy building tools and systems that increase the productivity of every engineer. • You seek ownership and autonomy, but also value strong cross-team collaboration.
Responsibilities
• Build and Refine Core Infrastructure • Design, automate, and reduce the toil associated with maintaining ReflexAI’s multi-cloud infrastructure across GCP and AWS. • Work with Terraform and Terragrunt, Github, Kubernetes, associated tooling, and the new generation of AI-driven development tools • Create safe, reliable, scalable, speedy, and secure paths for software and systems to reach production. • Build a High-Quality Developer Experience • Own the tooling that engineers use to build, test, and deploy code. • Standardize pipelines, templates, guard rails, and golden paths to accelerate developer velocity. • Introduce and improve internal tooling that reduces operational overhead. • Streamline Observability, Monitoring, and Operations • Improve on-call ergonomics and reduce MTTR through better instrumentation. • Drive observability, reliability, security and cost efficiency with Datadog • Strengthen Infrastructure Security • Implement best practices for secrets management, IAM, network security, vulnerability scanning, and container security. • Build automated checks and secure-by-default workflows into CI/CD and cloud environments. • Help establish the compliance and security practices that ensure ReflexAI meets industry and customer expectations.
Benefits
• We pay competitively based on where you live and work. Every role has a defined range tied to the level and scope of the position — no guesswork, no negotiation games. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • How many years have you worked in Platform, DevOps, and Site Reliability Engineering roles? • Projects here move fast — priorities shift, the workload is heavy, you'll wear a lot of hats, and be successful if you can remain flexible and resilient. Tell us about a time you did your best work in an environment like that: what drove you, what did you accomplish, and how did you show up for the people around you? • Beyond what's on our website — what specifically makes you want to work here? • In the repo you linked, name the file that holds your AI config (CLAUDE.md, AGENTS.md, etc.) and one rule in it you added after the AI got something wrong. What did it get wrong?
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