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Experience with the ELK (Elasticsearch, Logstash, Kibana) stack, Elastic Cloud on Kubernetes (ECK), Kafka, Beats, and/or Splunk. Demonstrated proficiency in cyber security platforms: SOAR, SIEM, IDS/IPS, DLP, WAF, Endpoint Security.
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10+ years of experience managing and leading efforts with DevSecOps tools, including Jenkins, Gitlab, ElasticSearch, Kibana, Prometheus, Grafana, or Logstash, infrastructure as code (IaC) and configuration management tools, such as Terraform or CloudFormation or Ansible, containerization tools and technologies using Docker Enterprise, Kubernetes, or OpenShift.
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A : Python (Flask), PostgreSQL, Elasticsearch, Redis, GCP, AWS, Tensorflow, Keras, Docker, Kubernetes. Experience using NoSQL databases such as Elasticsearch or MongoDB is a plus. A : Python (Flask), PostgreSQL, Elasticsearch, Redis, GCP, AWS, Tensorflow, Keras, Docker, Kubernetes.
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Experience with frameworks such as Kafka, Cassandra, Redis, Elasticsearch, and S3. Our cloud-native, AI-powered operating system and technology platform are transforming investment operations to enable reduced fees and the ability to offer new and innovative products, including crypto-asset services, while scaling for the future.
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Backend systems including Realtime search (Elasticsearch), Database (PostgreSQL), Datawarehouse (Snowflake. NGS (next generation sequencing ) data formats (e.g. Bam, Fastq,) and Data pipelines (WGS, Broad GATF, nf-core.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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What You'll Do Work with a variety cyber defense and IT tools such as: Splunk, ElasticSearch, MISP, FireEye, Cisco Sourcefire, Palo Alto firewalls, Tanium, Snort, Bro, SolarWinds, Apache NiFi, and RedSeal.
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Key Technologies Used:· Java/Spring · Linux/Windows · ElasticSearch · MySQL/PostGreSQL · AWS · Kubernetes · Docker. · Interface with both relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases(e.g., MongoDB, Elasticsearch) to store, retrieve, and manipulate geospatial data efficiently.
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Experience with datastore technologies: Kafka, Elasticsearch, DynamoDB, RDS Aurora PostgreSQL. Experience with datastore technologies: Kafka, Elasticsearch, DynamoDB, RDS Aurora PostgreSQL. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance.
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2+ years deploying public cloud infrastructures (AWS, GCP, Azure) preferred including administering managed AWS services (EKS, OpenSearch, MSK, Batch, etc.) Experience with Terraform or similar IaC technologies.
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The systems and tooling where they may have experience depth may include (but not limited to): bazel, build tooling, cassandra, CDN, chef, configuration management, container orchestration, consul, docker, elasticsearch envoy, haproxy, kafka, kubernetes, load balancing, network architecture, postgres, redis, release management, RPC frameworks, service discovery, spinnaker, terraform, zookeeper.
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In-depth knowledge of SQL/No-SQL and various databases, including Oracle, Cosmos DB, ElasticSearch, Cassandra, and Solr. In-depth knowledge of SQL/No-SQL and various databases, including Oracle, Cosmos DB, ElasticSearch, Cassandra, and Solr.
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Experience utilizing JavaScript, Elasticsearch, JSON, SQL, XML.Knowledge with datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, and Redis. Familiar with AWS.Knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar.
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Prefer understanding of databases, e.g. ElasticSearch, PostgreSQL. Deep understanding of any of RHEL/CentOS, Apache, Elasticsearch, Kibana, complex distributed computing, data flow statistics, system monitoring.
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Our tech stack includes Python, Django, Celery, MySQL, Elasticsearch, Vue, and Webpack. Experience with MySQL (or Postgres) and/or ElasticSearch. Our tech stack includes Python, Django, Celery, MySQL, Elasticsearch, Vue, and Webpack.
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Technologies that are nice to know: GraphQL, Kotlin, Elasticsearch, DynamoDB, Redis, Kubernetes S3, Lambda, Docker, DataDog, Looker, Splunk. Technologies that are nice to know: GraphQL, Kotlin, Elasticsearch, DynamoDB, Redis, Kubernetes S3, Lambda, Docker, DataDog, Looker, Splunk.
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elasticsearch job
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