Senior DevOps Engineer (SaaS)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior DevOps Engineer (SaaS): Designing and managing infrastructure and automation to ensure scalability, security, and reliability of SaaS applications with an accent on CI/CD pipelines and infrastructure-as-code. Focus on architecting cloud environments, automating workload provisioning, and mentoring engineers to improve the software delivery lifecycle.
Location: Hybrid (Austin, TX). Candidates must have current, unrestricted authorization to work in the US; immigration sponsorship is not provided.
Company
is a $250M recurring revenue SaaS business providing purpose-built software across 12 vertical markets.
What you will do
- Design and implement CI/CD pipelines to improve deployment efficiency.
- Architect and manage cloud infrastructure and automate workload provisioning.
- Monitor system performance, availability, and security using tools like Datadog and NewRelic.
- Collaborate with Engineering, QA, and Security teams to ensure infrastructure reliability and compliance.
- Mentor DevOps engineers on tools and best practices.
Requirements
- Extensive DevOps experience with cloud platforms (AWS, Azure).
- High proficiency in Infrastructure-as-Code (Terraform, CloudFormation) and orchestration tools (Saltstack, Ansible).
- High proficiency with automation and CI/CD tools (GitLab, GitHub, Jenkins).
- Strong scripting and coding skills.
- Knowledge of SaaS security, compliance, and incident response.
- Must have current, unrestricted authorization to work in the United States.
Culture & Benefits
- Comprehensive medical, dental, and vision insurance options.
- 401(k) with 100% company match up to 4%.
- Flexible paid personal/vacation time and 10 sick days annually.
- 6 weeks paid parental leave and 100% employer-paid short/long term disability.
- Additional perks including Pet Insurance, Teladoc, and Wellness Benefits.
Hiring process
- Interactive and conversational interviews focusing on personal experience and problem-solving.
- Strict prohibition of real-time AI tools or external assistance during the interview process.
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