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

SYSTOLIC, INC.

San Antonio, TX, 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 Cloudera Impala Configuration Management Continuous Integration

+20 more

DevOps Elasticsearch Apache Hadoop Monitoring of Systems Apache Hive Python (Programming Language) PostgreSQL Linux System Administration Ansible Ceph (Software) System Availability Apache Spark Git Kubernetes Deployment Automation Apache Kafka Apache Nifi Presto Terraform Golang

Job description

Manage Kubernetes containers and cloud infrastructure on AWS.
Implement infrastructure, automate deployment processes, and ensure service monitoring, reliability, and scalability.
Develop and deploy cloud and non-cloud infrastructure.
Troubleshoot production systems.
Utilize DevOps, Kubernetes, container orchestration, configuration management, CI/CD, automation, AWS, Linux system administration, Bash, Python, and Go.
Apply Git and Agile methodologies.
Work with big data technologies including Hadoop, Accumulo, NiFi, Kafka, PostgreSQL, Elasticsearch, Trino, Presto, Spark, and Hive.
Provide technical team leadership., * Support development and deployment of cloud infrastructure in AWS (EKS) 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, troubleshoot, and resolve issues in production systems.
Continuously improve processes and tools for high availability and performance.
Stay current with new technologies and industry trends.
Provide mentorship and technical team leadership.
Required skills: DevOps, Kubernetes, container orchestration, AWS (EKS, EC2, EBS, S3, Lambda), Terraform, Ansible, Python, Bash, Go, Git, Flux, Linux system administration, Agile methodologies.
Preferred experience with big data technologies: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto.
Must hold a current TS/SCI U.S. Government Security Clearance and U.S. Citizenship.