About the role

Flex is looking for a Staff Infrastructure Engineer to lead technical direction across our infrastructure platform, setting the strategy for how we build, deploy, and operate reliable systems at scale.

In this role, you will lead projects within the Infrastructure Engineering team, partnering with engineering leaders across the org to align infrastructure investments with business priorities and drive the standards and practices that raise the bar for the wider engineering department. You will shape how we approach reliability, developer experience, and infrastructure as code, and you will be expected to identify when current approaches are not working and redirect effort toward higher-impact outcomes.

At Flex, we are an AI-first engineering organization. We use AI-assisted tools to move faster and improve quality, while maintaining strong human ownership of correctness, security, and reliability. We’re looking for engineers who combine strong technical judgment with practical, execution-focused delivery.

We are particularly interested in candidates with software engineering experience in languages like Java, Python, or TypeScript. This background helps you collaborate effectively with product and platform teams, build internal tooling, and improve developer experience. 

This remote role requires a minimum of 8 years of cloud infrastructure experience.

What you’ll do

• Lead infrastructure project teams across multiple domains (reliability, developer experience, cloud platform), providing technical direction, maintaining project plans, and keeping leadership and cross-functional stakeholders informed of progress, risks, and tradeoffs.
• Partner with engineering leaders and peer Staff+ engineers across the org to align infrastructure strategy, align technical investments with business goals, and provide authoritative technical scope for cross-functional initiatives.
• Architect and deliver large, complex infrastructure systems, designing for scale, reliability, and operational simplicity. Drive decisions on build-vs-buy, technology selection, and migration strategy for the domains you lead.
• Define and evolve Flex's infrastructure-as-code strategy, including Terraform module architecture, governance standards, and safe rollout patterns. Introduce new IaC tooling or frameworks when existing approaches no longer serve team needs, and drive adoption across engineering.
• Lead strategic reliability improvements across services you work with, defining SLI/SLO frameworks with partner teams, delivering net-new ways to measure and communicate operational health and customer impact, and driving sustained reliability gains rather than one-off fixes.
• Shape the developer platform strategy, identifying the highest-leverage investments in self-service tooling, CI/CD, and deployment automation. Set the quality bar for developer-facing infrastructure and ensure the team ships tooling that meaningfully accelerates engineering velocity.
• Design cross-service observability architectures (metrics, logs, traces) with clear operational standards. Lead strategic alerting and runbook improvements that reduce mean-time-to-detect and mean-time-to-resolve across the org.
• Drive systemic incident resilience: lead cross-team infrastructure incident response, identify recurring failure patterns, and own the follow-through that turns post-incident findings into durable infrastructure improvements. Proactively refocus team efforts when reliability projects are off-course or not delivering meaningful risk reduction.
• Build engineering rigor into team processes, improving design review standards, deployment checklists, operational readiness criteria, and code quality practices. Set a high bar and coach the team to consistently meet it.
• Design AI-assisted workflows for your team: identify high-leverage opportunities where AI tooling can remove bottlenecks or enable previously infeasible work. Set guardrails for responsible AI use in infrastructure operations, evaluate emerging AI capabilities, and coach engineers on developing strong AI judgment.

Key qualifications

• 8+ years of hands-on infrastructure engineering experience in production environments, with at least 2 years operating at a senior or staff level, including leading technical projects, setting direction for other engineers, and making architecture-level decisions.
• Deep experience architecting, operating, and scaling infrastructure on AWS, with demonstrated depth across several of: EKS, S3, RDS, API Gateway, VPC, Load Balancers, Lambda, DocumentDB, DynamoDB. GCP experience is a plus.
• Track record of defining infrastructure-as-code strategy at scale, including Terraform module architecture, governance patterns, and driving adoption of IaC standards across teams.
• Strong Kubernetes and container platform experience, including designing cluster architectures, managing multi-tenant workloads, and operating production microservice deployments at scale.
• Proven ability to design and improve CI/CD systems (GitHub Actions preferred) with a focus on deployment safety, velocity, and developer experience. Evidence of introducing new tooling or processes that measurably improved deployment outcomes.
• Experience designing observability architectures for distributed systems (metrics, logs, traces) and using observability data to drive reliability improvements. Datadog experience is a plus.
• Solid networking knowledge (DNS, load balancing, firewalls, VPNs, service mesh, service-to-service connectivity) and experience applying it to solve cross-service infrastructure problems.
• Strong technical communication and influence skills: ability to write clear technical strategy documents, present architecture decisions to leadership, explain complex tradeoffs across teams, and align stakeholders on technical direction.
• Proficient in at least one of Java, Python, or TypeScript, with demonstrated code review practice and a track record of raising code quality standards through review feedback and tooling.
• Demonstrated leadership mindset: leads project teams end-to-end, proactively identifies and redirects off-course work, builds engineering rigor into team processes, and takes ownership of outcomes beyond individual deliverables.

• Tier A (NYC/SF/Seattle): $200,000-$250,000 USD
• Tier B: $180,000- $225,000 USD
• Tier C: $170,000-$212,000 USD

#LI-Remote

About the role

Flex is looking for a seasoned Senior Infrastructure Engineer with a passion for performance optimization to join our dynamic Infrastructure Team.

In this role, you will be part of the Infrastructure Engineering team, a small team responsible for creating a sustainable platform that ensures the effectiveness, reliability and scalability of our systems.  You'll play a pivotal role in designing, building, and maintaining our robust and scalable infrastructure. You'll collaborate closely with our service engineering teams to automate processes, streamline operations, and ensure optimal system performance and reliability in our cloud infrastructure on AWS and GCP.

At Flex, we are an AI-first engineering organization. We believe that the future of infrastructure isn't just about managing resources—it’s about building the intelligent, automated systems that manage them for us.  We aren't looking for "task-takers"; we are looking for domain experts who use their deep knowledge of cloud architecture and SRE principles to steer these AI tools effectively.  On this team, your value is defined by your ability to combine your technical mastery with an AI-augmented workflow to deliver world-class reliability at a growth-stage pace.

We are particularly interested in candidates with software engineering experience in languages like Java, Python, or TypeScript. This background will allow you to collaborate effectively with product teams, build tools and automation, and improve the developer experience across our engineering organization. You’ll have the opportunity to influence key infrastructure and architecture decisions while ensuring high reliability and smooth delivery pipelines.  

This remote role requires a minimum of 5 years of cloud infrastructure experience.

What you’ll do

• Collaborate with service engineering teams to design, implement, and maintain scalable and resilient infrastructure solutions optimizing for performance, resilience, and cost.
• Ensure infrastructure aligns with business requirements and industry standards.
• Leverage Terraform to automate infrastructure provisioning and configurations.
• Implement SRE principles to improve system reliability and reduce downtime.
• Improve developer workflows by creating self-service tools, optimizing CI/CD pipelines, and enhancing deployment processes to remove friction.
• Develop and maintain robust monitoring and alerting systems to proactively identify and resolve issues.
• Lead incident responses, manage on-call rotations, and facilitate post-incident reviews to drive continuous improvement and resilience.
• Automate everything—drive adoption of Infrastructure as Code (IaC) and build automated pipelines for testing, monitoring, and deployments.
• Leverage your excellent written and verbal communication skills, to create communications on upcoming changes and how they affect teams.

Key qualifications

• Proven experience in building, scaling and monitoring cloud infrastructure on AWS, especially EKS, S3, RDS, API Gateway, Load Balancers, VPC, Lambdas, DocumentDB and DynamoDB.
• Proven experience using Terraform to update and maintain cloud infrastructure.
• Proven experience with containerized applications, kubernetes and microservice deployments.
• Strong knowledge of GitHub Actions and CI/CD best practices.
• Experience with developer productivity tools: designing CI/CD workflows, building internal tools, and creating self-service solutions to streamline software development.
• Knowledge of monitoring and observability tools and frameworks, with working knowledge of Datadog being a plus.
• Familiarity with networking concepts (DNS, load balancing, firewalls, VPNs).
• Strong collaboration skills with the ability to work effectively across teams and communicate technical ideas clearly.
• Experience coding/reading in one of the industry standard language such as Java, Python, TypeScript

• Tier A (NYC/SF/Seattle): $172,000 - $212,000 USD
• Tier B: $154,800 - $193,500 USD
• Tier C: $146,200 - $182,740 USD

#LI-Remote