Senior Manager, Site Reliability Engineering

Set the strategy for your team and help shape the overall SRE program for the company

Build partnerships with engineering and platform teams around reliability standards and shared practices

Champion a culture of excellence in site reliability and automation

Lead and technically mentor a team of SREs, writing code, reviewing pull requests, and pairing on hard problems alongside them

Directly manage a team of 5–10 SREs: set clear expectations, run 1:1s, build individualized growth plans, deliver candid feedback, and own hiring and performance decisions

Own the reliability, security posture, and cloud cost efficiency of the infrastructure your team operates

Be on call as the team's escalation point and Incident Commander

Enable partner engineering teams to continuously improve software delivery and developer experience

Partner with product teams to evaluate and strengthen SLI/SLO definitions, translating each product's reliability needs into objectives that are achievable and meaningful

Lead the technical onboarding of acquired companies, integrating their infrastructure, teams, and systems onto Cvent's platform and reliability standards

Foster a culture of learning and technical ownership across the team and its engineering partners

Design, build, and own AI agents and reliability tooling with dedicated budget

Apply AI to your own management work: use it to accelerate QBR prep, KTLO analysis, and routine reporting

Drive AI adoption across the team's full SDLC, from planning and code review to incident response and postmortems

5+ years of experience managing technology professionals

10+ years of overall technology experience

Proven experience running large-scale distributed systems in AWS, including container orchestration (ECS, EKS, Kubernetes); familiarity with Azure or multi-cloud architecture a plus

Deep command of SRE principles and modern platform engineering practices

Excellence in technical team leadership, with a history of developing engineers through pairing, code review, and hands-on mentorship

Hands-on experience with Infrastructure as Code at production scale (AWS CDK preferred; Terraform or equivalent welcome)

Strong hands-on background in automation and CI/CD, with experience building and maintaining pipelines from the ground up

Fluency with modern observability platforms (Datadog or equivalent), including hands-on use of logs, traces, and dashboards and the ability to set team-wide standards for their use

Demonstrated AI fluency: active use of AI coding assistants, LLM-based tooling, or AIOps platforms, with a track record of bringing your team along

Ability to write and review production-quality code (TypeScript or Java preferred; Python, Go, or equivalent welcome); this is a working technical role, not a purely managerial one

Experience managing roadmaps and resource allocations

This job posting is intended to comply with all applicable laws. If we learn during the course of our recruitment process that, due to an applicant’s location, further information about the position is required, including certain salary information, this information in this posting will be supplemented accordingly.

The estimated base salary range for new hires into this role is $200,000 - $260,000 annually + bonus depending on factors such as job-related knowledge, relevant experience, and location. We also offer a competitive benefits package, details of which can be found here .

Hybrid: 2 days in office

We are not able to offer sponsorship for this position

Physical Demands