Mid-Level DevOps Engineer [$261k/yr+] TS/SCI

SYSTOLIC, INC.

Annapolis Junction, MD, United States

6 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

9 years minimum

Compensation

$261,000.0

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Apache Accumulo Agile Methodology Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Application Integration Architecture Bash Shell Big Data Cloud Computing Continuous Integration Linux DevOps

+19 more

Elasticsearch Apache Hadoop Apache Hive Python (Programming Language) PostgreSQL Ansible Scripting Apache Spark Git Kubernetes Infrastructure Automation Frameworks Deployment Automation Apache Kafka Apache Nifi Presto Terraform Docker Golang Programming Languages

Job description

Manage and deploy cloud infrastructure in AWS, utilizing Kubernetes, Docker, Terraform, and Ansible.
Automate CI/CD processes with Bash, Python, and Go scripting.
Administer Linux systems and troubleshoot production issues.
Work with big data technologies such as Hadoop, Accumulo, Apache Spark, NiFi, Kafka, PostgreSQL, Elasticsearch, Apache Hive, Trinio, and PrestoDB.
Apply Agile methodologies and provide technical team leadership., * Support development and deployment of cloud infrastructure in AWS (EKS, EC2, EBS, S3, Lambda) and non-cloud (Edge) infrastructure.
Automate deployment processes and ensure reliability and scalability of services.
Manage and maintain Kubernetes containers and cloud infrastructure on AWS.
Collaborate with development teams for application integration.
Monitor and troubleshoot production systems.
Continuously improve processes and tools; stay current with new technologies.
Provide mentorship and team leadership for engineering teams.
Utilize configuration management tools such as Terraform and Ansible.
Develop in multiple programming languages including Python, Bash, and Go.
Work with Git, Flux, and other development and deployment tools.
Administer and troubleshoot Linux systems.
Apply AGILE software development methodologies.
Experience with big data technologies (e.g., Hadoop, Accumulo, Spark, NiFi, Kafka, PostgreSQL, Elasticsearch, Hive, Trino, Presto).