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Senior DevOps Engineer (Hybrid)
- Hanover, Pennsylvania, United States
- Hanover, Pennsylvania, United States
Über
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.
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: $137,510.00-$180,000.00. 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.
Enlighten is seeking a highly motivated and experienced DevOps Engineer to join our fast‑paced development team. The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration, Configuration Management, CI/CD, Automation, AWS, Linux systems administration, Scripting in Bash and Programming in Python, and a background in Big Data solutions. The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the monitoring, reliability and scalability of our services. This role currently supports a customer onsite rotating schedule (during normal business hours) in Hanover, MD with some work out of our Columbia, MD office. Flexibility is key for success.
Essential Job Responsibilities
Support development and deployment of cloud infrastructure in AWS, especially EKS.
Support development and deployment of non-cloud (Edge) infrastructure of on-premise and portable equipment.
Automate deployment processes and ensure reliability and scalability of services.
Manage and maintain Kubernetes containers and cloud infrastructure on AWS.
Collaborate with development teams to integrate their applications into the infrastructure.
Monitor and troubleshoot production systems and resolve issues as necessary.
Continuously improve processes and tools to ensure high availability and performance.
Stay current with new technologies and industry trends, continuously exploring new ways to improve our infrastructure.
Other duties as assigned.
Minimum Qualifications
Security Clearance – A current Top Secret U.S. Government Security Clearance is required; U.S. Citizenship required. SCI eligibility highly desired.
9+ years of experience in DevOps Engineering or Software Development and Bachelors in related field; or 7 years relevant experience with Masters in related field; or High School Diploma or equivalent and 13 years relevant experience.
Strong Knowledge of AWS services (EKS, EC2, EBS, S3, Lambda) and their application to deployment and management of infrastructure.
Proficient knowledge of Linux, including system administration and troubleshooting.
Proficient in configuration management tools such as Terraform and Ansible.
Experience with application, container, and OS deployment, scaling, and management.
Ability to develop in multiple programming languages such as Python, Bash, or Go.
Familiarity with Git, Flux, and other development and deployment tools.
Excellent problem‑solving skills and the ability to identify and troubleshoot complex issues.
Excellent oral and written communication skills.
Understanding of AGILE software development methodologies and use of standard software development tool suites.
Must have a DoD 8140 / 8570 compliance certifications (i.e. Security+).
Must be able to support customer onsite rotating schedule (during regular business hours) in Hanover or Columbia, MD. Will have some ability to work from home time to time. Flexibility is essential to accommodate any changes in the schedule.
Preferred Requirements
Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc.
Experience with containers EKS, Diode, CI/CD, and Terraform are a plus.
Work could possibly require some on‑call work.
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Sprachkenntnisse
- English
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