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AWS: Cloudfront, DynamoDB, RDS, Redshift, S3, ElastiCache/Redis, EMR, Lambda, SQS, SNS, ECS/Docker, Linux. Databases: PostgreSQL, Neo4J Graph Database, ElasticSearch, Snowflake. Languages: Javascript, Elm, Kotlin, Java, Ruby, Elixir, and Python.
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Java, cloud computing, Angular, React, Python, PIG Analytics, Pyspark, agile development, continuous integration/continuous delivery (CI/CD), containers and Docker, Kubernetes, Amazon Web Services (AWS), Linux (VMWare), ElasticSearch, Rust, micro services, Ansible, clusters, digital forensics, incident response, quantum, and so much more.
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Js, Angular, jquery), CSS, Postgres, MongoDB, Elasticsearch, AWS, Docker, Kubernetes, SumoLogic, SAML, REST, Jenkins, Jira, Git, GitHub, Confluence, JSON, qTest, browsers and more. We work with MacOS, Linux, Python, Pytest, Go, Java, Selenium, Javascript (React.
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Familiarity with software load balancers for large-scale webservice implementations including haproxy and nginx experience with Kubernetes orchestration services and Dockerimages · Experience with log aggregation and search tools including ElasticSearch, logstatsh, filebeats, Grafana, andrsyslog.
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Configure, maintain, troubleshoot, and support an ElasticSearch environment on RHEL (Red Hat Enterprise Linux) servers on-premises. Working knowledge of Elasticsearch, Logstash, and Kibana (ELK Stack), including configuration, optimization, and troubleshooting.
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Experience with Python/Pytorch, SQL, Neo4j, and Elasticsearch Experience with CI/CD tooling and automation Linux OS administration experience (Windows a plus). This role allows candidates to work remotely from anywhere in the US. Significant Work Activities -Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day) Qualifications Tools and skills you will use in this role: AWS Docker Python CI/CD tooling and automation Linux SQL Experiences that make you a strong fit for this role: Bachelor’s Degree with 6 years’ experience; Master’s Degree with 5 years’ experience; PhD with 0 years’ experience.
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The work involves designing, developing, and implementing data models, index structures, and storage strategies; ingesting/indexing processes and transforming/normalizing data to common standards using log aggregation tools (e.g., Elasticsearch and Splunk); enriching data upon ingest and querying; and creating queries against big data.
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Well-grounded in Linux fundamentals and knowledge in at least one scripting language (e.g., Python, Ruby, Perl, etc.) Continuous Monitoring: ELK Stack (ElasticSearch, Logstash and Kibana), Nagios.
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Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
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Extensive technical skills covering:Microsoft technologies; JAVA and J2EE; Service-Oriented Architecture (SOA) and Web Services (SOAP/REST/Microservices); Hadoop ecosystem; Linux environment; Relational (RDBMS) and Non-relational (NoSQL) databases; E-commerce and Mobile platforms; AWS cloud services; Containerization with Docker (Swarm, Kubernetes); Elasticsearch, MongoDB, Redis (master/slave/sentinel); CI/CD pipelines using Jenkins, Ansible, Rundeck, and JFrog Artifactory.
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Job Summary As an established Software Engineer, NSA has opportunity for you to contribute, learn, and grow in virtually any Computer Science focus area, including: Cybersecurity, High Performance Computing (HPC), Quantum Computing Research, Data Analytics, Machine Learning/Artificial Intelligence (ML/AI), Cryptology/Cryptography, and countless others.
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Work on this program takes place in the Herndon, VA area (we cannot support remote work) and requires a TS clearance and a willingness to obtain a CI Poly: a current TS/SCI + CI Poly is preferred. Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise.
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Experience working within technology platforms such as ElasticSearch, Kubernetes cluster, storage systems, etc. Hands-on experience with network management; VMware; GPU and high-level computing; AWS; Microsoft, Linux, and Ubuntu OS management.
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Have proficiency with Ansible and Terraform automation toolsHave experience installing, configuring, and monitoring Linux system administration skillsHave experience with performance tuning and debugging scalability issues of real time servers and applicationsHave good understanding of Docker/Kubernetes/Container Services administrationPlease note that sponsorship is not available for this role.
$106,500 - $197,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Troubleshoot pipeline issues across Jenkins and AWS Environments (Linux EC2, RDS, CloudFormation, Elasticsearch, etc. Experience with CloudFormation, Elasticsearch. Experience with Linux Environments.
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