Search Results for: SRE

The Head of Platform Engineering is accountable for building and operating an internal developer platform that enables product engineering teams to ship software faster, safer, and more reliably. This leader owns the strategy, roadmap, and execution for shared platform capabilities (cloud foundations, CI/CD, infrastructure automation, observability, reliability practices, and developer experience), and ensures these capabilities are adopted and measurably improve delivery outcomes.

The Head of MLOps is accountable for building, operating, and continuously improving the end-to-end platform, practices, and operating model that reliably takes machine learning (ML) and AI solutions from experimentation to production at scale. This leader ensures models are deployed safely, monitored effectively, governed appropriately, and iterated quickly—while meeting reliability, security, privacy, and cost expectations.

The **Head of Machine Learning** is the senior engineering leader accountable for translating business strategy into machine learning (ML) capabilities that are reliable, scalable, and economically valuable. This role sets the ML vision and operating model, leads ML engineering and applied science teams, and ensures ML systems are production-grade through strong MLOps, governance, and measurable outcomes.

The Head of Infrastructure Engineering is accountable for designing, building, and operating the company’s infrastructure platforms and core reliability capabilities that enable product engineering teams to ship software safely, quickly, and cost-effectively. This role leads the infrastructure engineering organization (often including cloud infrastructure, Kubernetes/platform engineering, networking, observability, and incident management) and ensures infrastructure is scalable, secure, and operationally mature.

The Head of Infrastructure is the senior leader accountable for the reliability, scalability, security, and cost-effectiveness of the company’s production and corporate infrastructure platforms. This role establishes the infrastructure strategy and operating model, leads infrastructure engineering and operations teams, and ensures the infrastructure enables product delivery at the required performance and availability levels.

The Head of Engineering is the senior engineering leader accountable for building and operating high-performing software engineering organizations that deliver secure, reliable, and scalable products at a predictable cadence. This role translates product and business strategy into an executable engineering plan, establishes the operating model (teams, processes, metrics), and ensures engineering outcomes meet quality, reliability, cost, and security expectations.

The **Head of DevOps** is the senior leader accountable for how software is built, released, operated, and improved in production—balancing **speed of delivery**, **reliability**, **security**, and **cost efficiency**. This role owns the DevOps/SRE/platform engineering strategy and operating model, ensuring engineering teams can deliver changes safely and repeatedly while meeting uptime and performance expectations.

The **Head of Cloud Engineering** is the senior engineering leader accountable for the design, reliability, security, cost efficiency, and evolution of the company’s cloud platforms and shared infrastructure services. This role directs cloud engineering teams responsible for landing zones, networking, identity, compute platforms, CI/CD enablement, observability foundations, infrastructure as code, and operational automation that product teams depend on to ship and run software safely at scale.

The Head of AI Engineering is a senior engineering leader accountable for building and operating the company’s AI engineering capability end-to-end: from model-enabled product features and AI services to the platforms, pipelines, quality controls, and operational practices that make AI reliable in production. This role translates AI strategy into scalable engineering execution—ensuring AI systems are safe, observable, cost-effective, compliant, and aligned with product and business outcomes.

The **Global Head of Platform Engineering** is the accountable executive for designing, building, operating, and evolving the company’s internal platform(s) that enable product engineering teams to deliver software **securely, reliably, and efficiently at scale**. This role owns the platform engineering strategy and operating model across regions, aligning developer experience, reliability engineering, security, and cost management into a cohesive capability that accelerates product delivery while reducing operational risk.

The **Global Head of Cloud Engineering** is the senior leader accountable for the strategy, build-out, and operational excellence of the company’s cloud platform(s), cloud infrastructure, and enabling engineering capabilities used by product and technology teams worldwide. This role ensures that cloud environments are secure, reliable, scalable, cost-effective, and easy for engineering teams to consume through self-service patterns and standardized platform services.

The **Frontend Engineering Manager** is a people-and-technical leader responsible for building, operating, and continuously improving the client-side engineering capability that delivers customer-facing web experiences. This role ensures the frontend team ships reliable, secure, accessible, and high-performing UI features aligned to product strategy while developing engineers through coaching, feedback, and clear expectations.

The Engineering Manager is accountable for delivering reliable, secure, and maintainable software by leading an engineering team and owning execution against a defined product or platform scope. This role combines people leadership, delivery leadership, and technical stewardship to ensure the team ships value predictably while continuously improving quality, engineering health, and operational performance.

The Director of Software Engineering is a senior engineering leader accountable for the delivery, reliability, and evolution of multiple software teams and the systems they own. The role balances near-term execution excellence with medium-term capability building—improving engineering throughput, quality, and operational performance while scaling people, process, and platform foundations.

The **Director of Site Reliability Engineering (SRE)** is accountable for ensuring that customer-facing platforms and critical internal services are **reliable, scalable, secure, and cost-effective** while enabling high-velocity product delivery. This leader sets reliability strategy, defines and enforces operational standards (SLOs/SLIs, incident management, change risk controls), and builds an SRE organization that reduces toil through automation and effective platform engineering practices.

The Director of Security Engineering leads the engineering strategy, delivery, and operations of security capabilities that protect a software company’s products, platforms, and customers. This role owns the security engineering roadmap and the teams building and operating security controls across cloud infrastructure, application delivery pipelines, identity, detection/response, and security tooling automation.

The Director of Platform Engineering leads the strategy, delivery, and operation of the internal platform that enables engineering teams to build, deploy, and run software safely and efficiently. This role aligns infrastructure, developer experience, reliability engineering, and delivery automation into a cohesive product-like platform capability that accelerates business outcomes while improving operational resilience and cost transparency.

The Director of Machine Learning Engineering (MLE) leads the design, delivery, and operations of production-grade ML systems that reliably create measurable product and business outcomes. This role owns the end-to-end engineering execution for ML-powered capabilities—from data and feature pipelines through model development, deployment, monitoring, and lifecycle governance—while building an organization that can scale ML safely and efficiently.

The Director of Infrastructure is accountable for the reliability, scalability, security, and cost effectiveness of the company’s production and corporate infrastructure. This role leads the teams and operating model that provide core compute, networking, storage, identity, platform tooling, and operational capabilities required to build and run software services.

The Director of Engineering is accountable for delivering reliable, secure, and scalable software through high-performing engineering teams while translating company strategy into executable technical and operational plans. This role leads multiple teams or a major engineering domain (e.g., product engineering, platform, infrastructure, or data engineering), ensuring predictable delivery, healthy engineering practices, and continuous improvement across people, process, and technology.

The Director of DevOps is accountable for the reliability, scalability, security, and delivery performance of the company’s software delivery and production operations. This leader designs and runs the DevOps operating model—spanning CI/CD, infrastructure platforms, observability, incident response, environment management, and release governance—so engineering teams can ship safely and quickly.

The **Director of Data Engineering** leads the strategy, delivery, and operational excellence of the company’s data engineering function—building and running the data platform, pipelines, and governance practices that power analytics, product insights, and machine learning. This role exists in software and IT organizations to ensure that data is **reliable, secure, discoverable, cost-effective, and usable** at scale across teams and systems.

The **Director of Cloud Operations** is accountable for the reliability, security, performance, and cost-effective operation of the company’s cloud platforms and production workloads. This leader builds and runs the operating model (people, process, tooling, governance) that enables engineering teams to ship and run services safely at scale, with predictable service levels and efficient spend.

The **Director of Cloud Engineering** leads the design, delivery, and operation of the company’s cloud platform(s) and cloud-native engineering capabilities, ensuring they are secure, reliable, scalable, and cost-effective. This role owns the cloud engineering strategy and execution across infrastructure, platform services, operational excellence, and cloud governance, enabling product teams to ship faster with strong reliability and compliance.

The **Director of AI Engineering** is a senior engineering leader accountable for building and operating the organization’s AI engineering capability—spanning AI-enabled product development, ML/LLM platforms, MLOps/LLMOps, model reliability, and production-grade AI systems. The role translates business and product strategy into scalable AI engineering execution while ensuring models and AI services are secure, compliant, observable, and cost-effective.

The DevOps Manager leads the capability, operating model, and team delivery required to run reliable, secure, and scalable software systems while enabling fast, low-risk product delivery. This role owns the day-to-day excellence of CI/CD, infrastructure automation, observability, incident management, and production readiness, while also shaping the roadmap for platform and operational improvements.

The DevOps Director is accountable for enterprise-grade software delivery reliability, operational excellence, and the platforms, practices, and teams that enable engineering to ship securely and predictably at scale. This leader owns the DevOps operating model across CI/CD, infrastructure automation, cloud operations, observability, incident management, release governance, and (often) SRE-aligned reliability practices.

The Developer Experience Manager (DevEx Manager) leads the strategy and execution of initiatives that make software engineers more effective, satisfied, and consistent in how they build, test, ship, and operate software. This role typically sits within Engineering Leadership and partners closely with Platform Engineering, DevOps/SRE, Security, and Application Engineering to remove friction from the developer lifecycle while increasing delivery reliability and engineering quality.

The Data Engineering Manager leads a team responsible for building, operating, and evolving the company’s data pipelines, data platform capabilities, and curated datasets that power analytics, reporting, product features, and (where applicable) machine learning. This role blends people leadership, delivery accountability, and technical direction to ensure data is reliable, secure, cost-effective, and fit for decision-making and downstream use cases.

The Cloud Engineering Manager leads a team responsible for building, operating, and continuously improving the organization’s cloud platforms and foundational infrastructure services (e.g., networking, IAM, landing zones, Kubernetes platforms, CI/CD enablement, and observability). The role balances people leadership with technical direction to ensure cloud environments are secure, reliable, cost-effective, and easy for product engineering teams to consume.