Search Results for: Jenkins

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 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 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.

The Cloud Director is a senior engineering leadership role accountable for the strategy, reliability, security, cost efficiency, and operational excellence of a company’s cloud platforms and cloud-enabled delivery capabilities. This role translates business goals into a scalable cloud operating model—covering architecture standards, platform engineering, governance, financial management (FinOps), and service reliability—while enabling product and engineering teams to deliver faster with reduced risk.

The Build and Release Manager owns the end-to-end build, packaging, and release orchestration for software delivery, ensuring that code moves from source control to production (or customer delivery) through reliable, secure, compliant, and repeatable pipelines. This role translates engineering throughput into predictable release outcomes by standardizing CI/CD practices, reducing delivery risk, and improving release quality across teams and systems.

The Backend Engineering Manager leads one or more teams responsible for building, operating, and continuously improving backend services, APIs, and core platform capabilities that power customer-facing products and internal systems. This role blends people leadership, delivery accountability, and technical stewardship—ensuring backend systems are secure, reliable, scalable, cost-effective, and aligned to product strategy.

The **Application Security Engineering Manager** leads the technical and operational execution of application security (AppSec) across software delivery, ensuring products are designed, built, tested, and operated with appropriate security controls. This role manages a team of AppSec engineers while remaining technically credible and hands-on enough to set standards, review risk decisions, and guide secure engineering practices.

The **AI Engineering Manager** leads a team that designs, builds, deploys, and operates AI-enabled software capabilities—typically including ML services, LLM applications, model-serving infrastructure, evaluation pipelines, and the surrounding developer platform needed to deliver these capabilities reliably. This role balances **people leadership**, **technical delivery**, and **operational excellence** across AI systems that must meet enterprise expectations for security, performance, cost, and quality.