平台交付与可靠性工程师 - 29337(科罗拉多斯普林斯,科罗拉多,远程)
Platform Delivery & Reliability Engineer - 29337 (Colorado Springs, CO, Remote,
Enlighten,被《今日美国》评为最佳工作场所之一,是大数据解决方案开发和部署的领导者,专注于基于云的服务、软件和系统工程、网络安全能力和数据科学。Enlighten在满足客户最大挑战方面持续创新并保持主动性。
我们认识到,最适合您项目的环境并不总是相同。我们的混合办公模式确保您可以与团队建立持久的关系,并通过面对面协作完成工作——同时在需要时拥有在家工作的灵活性以实现专注成果。
为什么选择Enlighten?
在Enlighten,我们团队坚定不移的工作精神、顶尖人才以及对创新想法的庆祝帮助我们不断成长。我们知道员工是公司成功的关键,因此我们希望像您照顾我们一样照顾您。以下是我们的福利包的一些亮点:
• 医疗、视力和牙科计划的100%员工保费支付。
• 10%的401k福利。
• 丰厚的带薪休假+10个带薪节假日。
• 教育/培训津贴。
预期薪资范围:$119,574.00 - $235,000.00。此职位的薪资范围旨在作为基于职位所在地、期望值和职责的良好诚信估算。在提供录用时,Enlighten会考虑多种因素,包括但不限于职位职能、内部公平性以及候选人的教育或培训、工作经验、认证和关键技能。偶尔某些职位/角色可能包含其他非经常性补偿,将在面试过程中由招聘人员说明。
职位描述
Enlighten正在寻找一名高级平台交付与可靠性工程师,负责在一家大型多地点政府企业中推出我们的数据湖屋平台,目前约有50个生产环境的Kubernetes集群,且数量仍在增长。这个职位是一个罕见的平台工程师、SRE(站点可靠性工程师)和交付负责人相结合的岗位。您可以部署该平台,调试在实地遇到的任何问题,将所学反馈给工程团队,并帮助修复代码库中的根本问题。同样重要的是,您可以从任何具体问题中抽身出来,通过在Enlighten内部构建流程、工具和沟通渠道,解决导致问题的系统,使每次部署都比前一次更快、更顺畅。
您将成为基础设施团队的正式成员
查看英文原文
Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science. Enlighten provides continued innovation and proactivity in meeting our customers’ greatest challenges.
We recognize that the most effective environment for your projects doesn’t always look the same. Our hybrid work approach ensures that you can make lasting relationships with your team and collaborate in-person to get the job done—while having the flexibility to work from home when needed to achieve focused results.
Why Enlighten?
At Enlighten, our team’s unwavering work ethic, top talent and celebration of innovative ideas have helped us thrive. We know that our employees are essential to our company’s success, so we seek to take care of you as much as you take care of us. Here are a few highlights of our benefits package:
• 100% paid employee premium for healthcare, vision and dental plans.
• 10% 401k benefit.
• Generous PTO + 10 paid holidays.
• Education/training allowances.
Anticipated Salary Range: $119,574.00 - $235,000.00. The salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, Enlighten takes a variety of factors into consideration which include, but are not limited to, the role's function, internal equity and a candidate's education or training, work experience, certifications and key skills. Occasionally positions/roles may include additional non-recurrent compensation and will be addressed by the recruiter during the interview process.
Job Description
Enlighten is looking for a Senior Platform Delivery & Reliability Engineer to own the rollout of our data lakehouse platform across a large, multi-site government enterprise, currently ~50 production Kubernetes clusters and growing. This role is a rare hybrid of platform engineer, SRE, and delivery lead. You can deploy the platform, debug anything you encounter in the field, feed what you learn back to the engineering teams, and help fix underlying issues in the code base. Just as importantly, you can step back from any individual issue and fix the system that produced it by building the processes, tooling, and communication channels inside Enlighten that make every deployment faster and less painful than the one before it.
You will be a full member of the Infrastructure team, working daily with our Ingest, Query, Application and Testing teams as well as government customers and site personnel. Success in this role looks like: rollouts across the enterprise happen predictably and efficiently, issues found in the field are cataloged, communicated, and resolved quickly, and the friction that slows deployments steadily disappears.
#Senior Level
Essential Job Responsibilities
- Plan, coordinate, and execute deployments and upgrades of the data lakehouse platform across 50 production Kubernetes clusters in customer environments.
- Debug and troubleshoot critical issues anywhere in the stack (infrastructure, Kubernetes, platform services, data services, and applications) and drive them to root cause.
- Contribute patches, configuration changes, and automation improvements directly back to the platform.
- Catalog and triage issues discovered in the field, communicate them clearly to the Infrastructure, Ingest, Query, and Application teams, and maintain a living knowledge base of failure modes, fixes, and runbooks.
- Enable and improve site reliability for fielded environments: monitoring, alerting, incident response, and continuous reliability improvement.
- Identify friction and dysfunction in how deployments happen, such as unclear handoffs, communication gaps, and repeated manual work; then design, implement, and institutionalize the processes that eliminate them (release checklists, readiness reviews, escalation paths, cross-team communication cadences).
- Continuously improve deployment tooling and automation so rollouts become faster, safer, and more repeatable.
- Coordinate with a large set of stakeholders (the engineering teams, government programs, security, and site personnel) and keep them informed.
- Mentor engineers, both junior and senior, on debugging, deployment, and operational excellence.
- Other duties as assigned.
Minimum Qualifications
- Clearance Requirement: Must obtain and maintain a U.S. Government Security Clearance, but not required on day one; U.S. Citizenship required.
- 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; or High School Diploma or equivalent and 13 years relevant experience.
- Deep, hands-on experience deploying, operating, and debugging production Kubernetes clusters and their ecosystem (networking, storage, service meshes, observability, volume management).
- Proven record of delivering complex distributed systems into production across many environments or sites: not just building platforms, but landing them with customers.
- Elite troubleshooting and analytical skills across the full stack: Linux systems, hosts, networks, security, containers, and application services.
- Experience with infrastructure as code (e.g., Terraform) and modern cloud environments (e.g., AWS, Azure, GCP).
- Experience with CI/CD pipelines (e.g., GitLab CI) and proficiency in scripting or programming (e.g., Go, Python, Bash).
- Working knowledge of SRE practices: monitoring and alerting, incident management, blameless postmortems, and runbook development.
- Demonstrated experience creating or improving engineering and delivery processes that other teams actually adopted; you can point to a workflow that exists because you built it.
- Excellent verbal and written communication skills; able to translate deep technical issues for engineers, leadership, and customers, and comfortable coordinating a large number of people across organizational boundaries.
- Work Location: *Remote or Hybrid. This role is fully remote unless you are located near one of our offices in Columbia, MD; San Antonio, TX; Boise, ID; Greenville, SC; or Augusta, GA, where a hybrid schedule applies. Note: Work models are subject to change based on business needs.
Preferred Requirements
- Experience deploying or operating large-scale data platforms and lakehouse technologies (e.g., Spark, Trino/Presto, Kafka, NiFi, object storage, Iceberg/Delta/Hudi)
- Experience delivering into DoD, IC, or other federal environments, including STIG-hardened, disconnected, or air-gapped deployments and familiarity with the RMF/ATO process
- Experience with Kubernetes Operators/Controllers development
- Prior release management, delivery lead, field engineering, or deployment engineering experience on a multi-team program
- Understanding of agile software development methodologies and use of standard software development tool suites (e.g., YouTrack, GitLab, Nexus)
- DoD 8140 / 8570 compliance certifications may be required in this position as directed by the customer
We have many more additional great benefits/perks that you can find on our website at www.enlighten.com.
Originally posted on Himalayas