Principal DevOps Architect

About Harvard Business Publishing Harvard Business Publishing empowers leaders with breakthrough ideas that solve problems, accelerate performance, and drive transformation. A not-for-profit affiliate of Harvard Business School founded in 1994, we serve our audiences and customers through two core brands:   Harvard Business Review, the definitive global source for leadership and management ideas, provides rigorous insights and proven strategies to leaders through its flagship magazine, digital content, books, events, and international licensed editions.   Harvard Business Impact, the global authority on effective leadership development and business education, delivers research-driven, scalable learning experiences to organizations and academic institutions worldwide. From case studies and simulations to digital, virtual, and in-person programs, our learning experiences build future-ready leaders prepared to navigate complexity and drive impact.

Harvard Business Publishing

Follow us on X @HBPcareers

PublishingHigher EducationLeadership DevelopmentDigital MediaLearningInnovationand Technology

H

harvardbusinesspublishing.org

501-1,000 employees

Technology, Information and Internet

Brighton, MA

1994

Nonprofit

170k LinkedIn followers

• Do you thrive at the crossroads of software delivery, cloud infrastructure, and
• operational excellence? Are you passionate about increasing delivery velocity
• while raising the bar on reliability, security, and observability? If so, we’d
• like to meet you.
• We are seeking a seasoned Principal DevOps Architect to advance our DevOps
• maturity while helping shape the next generation of cloud-native and AI-enabled
• platforms at Harvard Business Publishing. As a key member of the Technology
• Operations leadership team, you will define and lead our DevOps and platform
• architecture strategy, partnering closely with software engineering, cloud
• operations, and security to build secure, scalable, observable, and resilient
• solutions that accelerate product innovation and business growth.
• This role requires a hands-on architect who can bridge software engineering and
• operations, helping teams design and deploy modern AWS-native applications while
• establishing the automation, governance, reliability, and developer enablement
• capabilities needed to operate them at scale.
• Design and implement a robust, scalable, and secure DevOps environment that
• enables continuous integration and deployment aligned to business objectives.
• Partner with software engineering teams to design and evolve next-generation
• cloud-native and AI-enabled application architectures, ensuring solutions are
• scalable, secure, observable, and operationally sustainable from day one.
• Provide architectural guidance on application modernization, distributed
• systems, event-driven architectures, and AI-enabled platforms, helping
• engineering teams translate product requirements into production-ready
• solutions.
• Build reusable platform capabilities, reference architectures, and developer
• enablement patterns that accelerate delivery and improve engineering
• productivity.
• Design, implement, and optimize CI/CD pipelines, deployment patterns, and
• platform services that improve delivery velocity, reliability, and developer
• experience.
• Establish and maintain DevOps architecture standards, best practices, and
• governance models to ensure consistency, quality, and repeatability across
• teams and systems.
• Champion Infrastructure as Code (IaC) practices so infrastructure is
• provisioned, configured, secured, observed, and managed in a consistent and
• repeatable manner.
• Lead collaboration across engineering, cloud operations, and security teams
• to deliver secure, reliable, and scalable cloud platforms.
• Define and evolve observability standards (logging, metrics, tracing) and
• leverage telemetry to identify bottlenecks, improve performance, and increase
• operational reliability.
• Mentor engineers and foster a culture of automation, ownership, continuous
• learning, and shared responsibility.
• Develop and maintain clear, durable documentation for architecture decisions,
• platform standards, and operational processes.

• 8+ years of experience designing and operating highly available, scalable
• cloud platforms and applying DevOps principles to modern software delivery.
• Proven ability to define platform and DevOps architecture strategy, establish
• standards, and drive adoption across multiple engineering teams.
• Strong hands-on experience designing and operating enterprise CI/CD platforms
• and toolchains (e.g., Jenkins), with a focus on reliability, repeatability,
• security, and developer experience.
• Expertise with Infrastructure as Code using Terraform and/or CloudFormation,
• including reusable modules, automation patterns, and governance controls.
• Deep hands-on AWS architecture experience, including designing and operating
• multi-account environments, landing zones, and governance frameworks using
• services such as AWS Organizations, Control Tower, and IAM Identity Center.
• Demonstrated expertise designing AWS-native solutions using services such as
• ECS/Fargate, Lambda, Cognito, SQS/SNS, RDS/Aurora, Route 53, CloudFront, and
• related platform services.
• Experience evaluating architectural tradeoffs and partnering with engineering
• teams to design scalable, maintainable, cloud-native applications.
• Demonstrated experience designing and building cloud-native architectures,
• including microservices, event-driven systems, API-driven integrations, and
• AI-enabled platforms.
• Strong software engineering mindset with the ability to influence technical
• design decisions and guide the evolution of modern cloud applications.
• Experience supporting AI/ML workloads and platforms, including the
• infrastructure, deployment, observability, security, and operational patterns
• required to run AI-enabled applications in production.
• Experience with container platforms and orchestration, including secure image
• management, deployment strategies, and platform operations.
• Deep understanding of observability, reliability engineering, and operational
• excellence, including logging, metrics, tracing, and performance
• optimization.
• Deep understanding of DevSecOps principles and security best practices,
• including least-privilege access, secrets management, vulnerability
• management, secure SDLC controls, and identity architectures (OIDC/SSO).
• Familiarity with ephemeral environment patterns and automation for safe,
• cost-effective testing and preview deployments.
• Experience leveraging AI coding assistants to develop and review
• enterprise-grade solutions with attention to quality, security, and
• maintainability.
• Excellent communication, collaboration, and documentation skills with the
• ability to influence engineering, operations, and security stakeholders.
• Experience helping engineering teams design, deploy, and operate AI-enabled
• applications and services in production.
• Experience building platform capabilities that accelerate the development and
• deployment of AI/ML solutions.
• Experience building or supporting internal developer platforms and
• self-service engineering capabilities.
• Advanced experience with Jenkins and enterprise CI/CD platform
• administration.

• As a mission-driven global company, Harvard Business Publishing is committed to
• fostering a culture of inclusion, trust, and engagement where everyone is
• welcome, valued, respected, and feels they belong. In addition to a competitive
• compensation and benefits package, we offer meaningful programs focused on
• career development and employee wellness, such as education reimbursement and
• early-release Summer Fridays!
• While this role is open to remote candidates, individuals based in the Boston
• area will be prioritized due to onsite collaboration needs. The anticipated
• compensation range for this role is $160,000–$175,000, dependent on experience
• and qualifications.
• Above is the annualized pay range for this position. In addition, this position
• includes the opportunity to earn our annual Performance Based Variable Pay
• Program. Actual salary will be set based upon a range of factors, including
• external benchmark market data, individual knowledge, skills, experience,
• location and internal equity.