Albert helps chemists change the world by building technology that understands how they work. As chemists ourselves, we know what it’s like when software doesn’t work the way you do — stuck with systems built by people who never spent a day at the bench. Backed by Index.
About the role
We care about you. Albert works hard to create a positive environment for our employees, and we think your life outside of work is important too. We work hard and we play hard. We’re always looking for humble, sharp, and creative folks to join the Albert team. If you think you might be a fit, please apply.
What they're looking for
- Cloud architecture across all engineering teams: common IaC tooling, unified monitoring, CI/CD standardization, and the internal developer platform
- Cloud cost strategy in partnership with Finance: per-unit metrics, team-level budget visibility, vendor contracts, and leadership-facing dashboards on infrastructure efficiency
- The global SRE function on a follow-the-sun model: an existing India team, US presence, and a planned Germany-anchored EU team
- The ML/AI infrastructure platform that the data science team builds on
- Interoperability with partner Azure environments: identity federation, private connectivity, and bring-your-own-key
More about this role
- Cloud architecture across all engineering teams: common IaC tooling, unified monitoring, CI/CD standardization, and the internal developer platform.
- Albert's security posture end-to-end: patching, SAST/DAST, WAF, SIEM, EDR, IDS/IPS, data loss prevention, and Zero Trust across cloud and identity. You'll also own the third-party security partnership, enterprise audit and questionnaire response, and security awareness across the company.
- Cloud cost strategy in partnership with Finance: per-unit metrics, team-level budget visibility, vendor contracts, and leadership-facing dashboards on infrastructure efficiency.
- The global SRE function on a follow-the-sun model: an existing India team, US presence, and a planned Germany-anchored EU team.
- The ML/AI infrastructure platform that the data science team builds on.
- Interoperability with partner Azure environments: identity federation, private connectivity, and bring-your-own-key.
- An SLO framework, error budget model, and service tiering classification that give engineering and leadership a shared language for reliability trade-offs.
- A functioning incident program: escalation paths defined, on-call rotations in place, DR and...
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