Senior DevOps Engineer

at  Valence

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.
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. You will report to the Technical Lead, and indirectly to the CEO, who is the product visionary for the AI Coach, Nadia.

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