We are opinionated about using LLMs and AI-assisted development tools as part of modern software engineering. You will help the team use these tools effectively while maintaining strong engineering judgment, accountability, security, and code quality.
WHAT YOU’LL DO
Lead, support, and grow a team of engineers through clear expectations, regular feedback, coaching, and career development
Own the team's execution and outcomes, from planning and prioritization through delivery, production operation, and continuous improvement, with accountability for tactical results over the coming quarters
Translate broader cloud platform strategy and organizational priorities into operational plans, team objectives, and a pragmatic roadmap
Allocate people and resources to meet schedules and goals while managing capacity, dependencies, and changing priorities
Execute workforce, capacity, and operating-cost planning in partnership with engineering leadership
Establish clear ownership and operating practices for platform services, including service APIs, Kubernetes controllers and operators, deployment automation, configuration, upgrades, and lifecycle management
Guide technical decisions and architectural tradeoffs, working closely with senior individual contributors and ensuring designs align with the established cloud platform direction
Drive reliability through SLAs, SLOs, KPIs, observability, operational readiness, incident response, post-incident learning, and reduction of recurring operational work
Balance product delivery with investments in platform consistency, security, scalability, technical debt, and developer productivity
Build strong partnerships across product engineering, SRE, security, infrastructure, and other platform teams
Engage customers and external stakeholders where appropriate, presenting results and recommendations across technical disciplines
Identify dependencies and risks early, communicate them clearly, and align teams on decisions and delivery plans
Improve engineering practices for system design, testing, CI/CD, release automation, production debugging, and data-informed decision-making
Hire and onboard engineers while building an inclusive, collaborative, and accountable team culture
Use delivery, quality, reliability, and team-health signals to improve how the team works
WHAT WILL YOU NEED TO HAVE?
Experience managing or formally leading a software engineering team, including coaching engineers and supporting their performance and career growth
A strong software engineering background in distributed systems, infrastructure services, backend systems, or platform engineering
Experience delivering and operating production systems with accountability for reliability, quality, and customer impact
Strong technical judgment and the ability to guide architecture and engineering decisions without needing to own every implementation detail
Working knowledge of Kubernetes, cloud infrastructure, and modern software delivery practices
Understanding of infrastructure fundamentals such as compute, networking, storage, IAM, secrets, service-to-service communication, and observability
Experience planning and delivering complex work across team boundaries while managing dependencies, risk, and changing priorities
Experience with resource allocation, workforce and capacity planning, and managing operating costs within organizational priorities
Ability to partner effectively with product managers, senior engineers, SRE, security, infrastructure, and other stakeholders
Clear written and verbal communication, including the ability to explain tradeoffs and build alignment with technical and non-technical audiences
A track record of building healthy teams with clear ownership, high standards, psychological safety, and a culture of continuous improvement
Comfort helping engineers use AI-assisted development tools effectively and responsibly
EXTRA GREAT IF YOU HAVE
Experience managing a platform, infrastructure, SRE, or developer productivity team
Experience building internal platforms, control planes, Kubernetes operators, or shared developer infrastructure
Experience supporting enterprise software across cloud, hybrid, or on-premise environments
Experience with distributed databases, data infrastructure, data movement, streaming systems, or integration platforms
Experience with Terraform, Argo CD, GitHub Actions, or similar infrastructure and delivery tooling
Experience establishing SLOs, leading incident response, and improving operational maturity
Experience partnering with product teams to turn recurring infrastructure needs into reusable platform capabilities
Experience growing senior engineers and developing technical and team leadership within an organization
As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected.
Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws.
Redis reserves the right to retain data longer than stated in the privacy policy https://redis.com/legal/privacy-policy/ in order to evaluate candidates.
