站点可靠性工程师负责人
Lead Site Reliability Engineer
职责
Peraton正在寻找一位高级站点可靠性工程师加入我们合格、多元化的团队。理想的候选人将在确保关键任务平台的可靠性、弹性和可恢复性方面发挥关键作用,包括领导基础设施级别的灾难恢复演练、平台重建验证和自动化部署流程。该工程师将与跨职能团队紧密合作,维护和提升复杂的云基础架构环境,集成现代自动化解决方案,并支持高可见度项目的大规模现代化和持续性工作。
职责
高级站点可靠性工程师的职责包括但不限于:
- 支持整个生命周期的平台可移植性和灾难恢复(DR)演练执行,包括验证平台重建流程和DR操作手册。
- 执行基础设施级别的演练活动,确保平台能够在48小时内完全重建。
- 在演练过程中验证端到端的数据完整性、准确性和正确性,记录结果并提出补救建议。
- 识别基础设施、部署自动化、监控和数据恢复流程中的退出准备差距,并与工程团队推动纠正措施。
- 设计、实施和支持使用Terraform、AWS CloudFormation和标准化CI/CD流水线的自动化IaaC工作流。
- 管理和优化Kubernetes集群和容器化工作负载(Docker),包括集群的配置、扩展和工作负载可靠性的提升。
- 使用CloudWatch、Datadog和其他监控/警报工具构建和维护可观测性解决方案,以确保服务可靠性和主动事件响应。
- 使用Python或Java开发自动化工具、脚本,以减少手动流程并提高操作的可重复性。
- 与平台工程、安全、应用和数据团队协作,确保平台操作的一致性、安全性和合规性。
- 参与值班轮班、根本原因分析和事件响应活动,以提高系统弹性和运营卓越性。
资格要求
必备资格
- 本科及以上学历,8–10年相关的SRE、DevOps、云工程或基础设施工程经验;或高中文凭并有12年相关经验。
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Responsibilities
Peraton is seeking a Lead Site Reliability Engineer to join our team of qualified, diverse individuals. The ideal candidate will play a critical role in ensuring the reliability, resilience, and recoverability of mission essential platforms by leading infrastructure level disaster recovery drills, platform rebuild validation, and automated deployment processes. This engineer will partner closely with cross functional teams to maintain and enhance complex cloud-based environments, integrate modern automation solutions, and support largescale modernization and continuity efforts across high visibility programs.
Responsibilities
The Lead Site Reliability Engineer’s responsibilities shall include, but are not limited to:
- Supporting full lifecycle platform portability and disaster recovery (DR) drill execution, including validation of platform rebuild procedures and DR playbooks.
- Executing infrastructure level drill activities to ensure the platform can be fully rebuilt within the 48hour recovery target.
- Verifying end to end data completeness, integrity, and accuracy during drill exercises, documenting results and remediation recommendations.
- Identifying exit readiness gaps across infrastructure, deployment automation, monitoring, and data recovery processes, and driving corrective actions with engineering teams.
- Designing, implementing, and supporting automated IaaC workflows utilizing Terraform, AWS CloudFormation, and standardized CI/CD pipelines.
- Managing and optimizing Kubernetes clusters and containerized workloads (Docker), including cluster provisioning, scaling, and workload reliability improvements.
- Building and maintaining observability solutions using CloudWatch, Datadog, and other monitoring/alerting tools to ensure service reliability and proactive incident response.
- Developing automation, tooling, and scripts using Python or Java to reduce manual processes and enhance operational repeatability.
- Collaborating with platform engineering, security, applications, and data teams to ensure consistent, secure, and compliant platform operations.
- Participating in on‑call rotations, root cause analyses, and incident response activities to improve system resilience and operational excellence.
Qualifications
Required Qualifications
- Bachelor’s degree and 8–10 years of relevant SRE, DevOps, cloud engineering, or infrastructure engineering experience; or 12 years of experience with a high school diploma.
- Expert level hands on knowledge of AWS services across compute, networking, storage, IAM, and serverless components.
- Strong experience with Infrastructure as Code (Terraform, CloudFormation) and infrastructure automation principles.
- Experience building CI/CD deployment pipelines and progressive delivery mechanisms using GitHub actions or similar tools
- Deep understanding of Kubernetes administration, container orchestration, and Docker based deployments.
- Proven experience validating DR processes, performing system rebuilds, and conducting data integrity checks.
- Experience building monitoring tools like dashboards, metrics, logs, and alerting systems using CloudWatch, Datadog, or similar observability tools.
- Proficiency with programming/scripting languages such as Python, Java, or C# or Go.
- Experience debugging complex failure modes, including cascading failures, network partitions, backpressure, and eventual consistency issues.
- Strong analytical and documentation skills with the ability to clearly communicate technical findings to cross functional teams.
- Ability to work in a fast-paced environment supporting high visibility, mission critical systems.
- Ability to obtain a Public Trust clearance.
- US Citizen or Green Card Holder.
Preferred Qualifications
- AWS DevSecOps Engineer certification (preferred).
- Additional AWS certifications (Solutions Architect, SysOps, Developer) and/or Kubernetes certifications (CKA, CKAD).
- Familiarity with Zero Trust security models and cloud security best practices.
- Experience with GitLab, Jenkins, or similar CI/CD platforms.
- Experience with highly regulated environments (healthcare, finance, DHS, DoD, CMS, etc.).
- Experience supporting federal, defense, or largescale enterprise programs involving legacy-to-cloud modernization.
- Prior involvement in large‑scale DR drills, continuity of operations (COOP), or portability/executable readiness assessments.
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.
Target Salary Range
$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Originally posted on Himalayas