Senior DevOps Engineer
Jobs Valence
| Company | Jobs Valence |
| Category | Engineering |
| Location | Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 25 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
Valence has built the first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance & support to any leader or employee. At Valence, we're not just talking about the future of work – we're actively shaping it.
Learn more about our work with Microsoft: Valence Brings AI Coaching More Deeply Into the Flow of Work with Microsoft 365 https://www.valence.co/blog/valence-microsoft-365-may-2026
From your first interaction with us, you'll notice we're different. By working here you won't just implement solutions for our clients; you'll be helping to architect the future of leadership in the age of generative AI. And we'll be honest – this is not for everyone. But for those with an insatiable desire to work fast on complex, unsolved challenges with some of the best talent in tech, this could be the career-defining opportunity you've been waiting for.
THE ROLE
We are seeking a seasoned DevOps Engineer to build and lead our infrastructure platform that serves our LLM-powered coaching product for Fortune 500 enterprises. In this pivotal role, you will own our entire infrastructure landscape, supporting three distinct teams: two application teams and our AI team. You'll be the driving force behind our security infrastructure, deployment strategies, and cloud architecture.
ABOUT VALENCE
We're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing.
We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb.
Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.
WHAT YOU'LL DO
- Own and architect our entire AWS infrastructure, including identifying areas for improvement and implementing solutions
- Design and implement scalable infrastructure platforms that enable seamless deployments across multiple teams
- Lead security infrastructure initiatives, including implementing SIEM, EDR, automated scanning tools, and backup systems
- Manage and optimize infrastructure costs while ensuring high availability and performance
- Develop and maintain Infrastructure as Code using Terraform and Ansible, with opportunity to improve existing implementations
- Create and optimize autoscaling solutions for various workloads, including webinar demands and ML/data processing pipelines
- Establish network architecture and security protocols, including firewall configurations and routing
- Build and maintain CI/CD pipelines for multiple application teams
- Collaborate with AI team to design and implement infrastructure for data processing and ML pipelines
- Take proactive ownership in identifying infrastructure improvements and implementing solutions
WHAT WE'RE LOOKING FOR
- 7+ years of DevOps experience, preferably in scaling B2B SaaS companies
- Proven experience building and maintaining infrastructure platforms that support multiple development teams
- Strong expertise in AWS services and infrastructure management
- Advanced knowledge of Terraform
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