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Experience with DevSecOps and cloud-native technology having practical experience with tools such as Docker, Kubernetes, Jenkins, and Terraform is a plus. Familiarity with database and SQL-based technology such as Oracle DB, PostgreSQL, and NoSQL stores a benefit, e.g. Cassandra, MongoDB, and data lakes such as Snowflake.
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Independent Software is hiring a Software Engineer, Level 2, Requirements: Full Stack Developer Front end: Angular 2 Middle Tier: Java, Spring, Springboot Back end: MongoDB, ElasticSearch Containerization using Docker and Kubernetes Experience and Education: Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required.
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Hands on experience in developing microservices for containerized platform (docker and Kubernetes), messaging platform (Kafka) Hands on experience with relational databases (Oracle, SQL, Postgres) in data model design, implementation and performance tuning No-SQL database experience is good to have - DynamoDB, MongoDB, Cassandra etc.
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Desired: Python, Django or Flask, ReST Endpoint Development, Micro-Service Model, Swagger, AWS, C2S or other cloud experience, Docker, Visual Studio Code or similar IDEs, JSON and/or XML serialization, Jira, Confluence, Git version control, Experience working in Agile environment.
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We implement modern backend solutions that support microservices architecture with the following technologies: NET Core, Node.js, Java, SQL Server, PostgreSQL, MongoDB, Redis, RabbitMQ. For the web UI front-end development, we opt for React, or Angular, and for mobile development Swift, Kotlin, Java. Most of the systems are designed for cloud infrastructures like AWS, Azure, GCP, and heavily rely on Docker, Kubernetes while modern CI/CD is made using GitLab CI or TeamCity.
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Python, Django or Flask, ReST Endpoint Development, Micro-Service Model, Swagger, AWS, C2S or other cloud experience, Docker, Visual Studio Code or similar IDEs, JSON and/or XML serialization, Jira, Confluence, Git version control, Experience working in Agile environment.
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Experience with two or more of the following: Python, Silk, JSON, Data Analytics, MongoDB, Elastic Search, Postgress, Ansible, Vue.js, React, HTML, Kubernetes, Docker, Podman, AWS, View Jazz Framework, Process Automation, UI Development, CI/CD knowledge.
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Nice-to-haves: Experience with databases like ElasticSearch, InfluxDB, MongoDB, frontend frameworks like Bootstrap or Tailwind, and CI/CD deployment in GCP. Infrastructure and DevOps: Ubuntu Linux, Kubernetes, Docker, Terraform, AWS & Google Cloud, Sentry, Datadog.
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Google BigQuery, Spanner, Redshift, Aurora, Cosmos DB, Redis, MongoDB, ElasticCloud, CockroachDB, Yugabyte, Hashicorp, etc. Proficient in container orchestration technologies i.e. Kubernetes, Docker, Apache.
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Good understanding of NoSQL platforms (Cosmos DB, MongoDB, Cassandra) and containerized database solutions (Docker, Kubernetes). Possess a good understanding of NoSQL platforms such as Cosmos DB, MongoDB, and Cassandra, with the ability to leverage this knowledge as needed.
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Working familiarity with one or more SQL or NoSQL database platforms a plus - e.g. MongoDB, Redis, Cassandra, DynamoDB, RDS Aurora, MySQL, etc. Experience with container architecture and technologies such as AWS ECS and Docker.
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Support the development and test of various Python-based REST end points, microservices, and data model management capabilities utilizing Django and Flask frameworks to interact with data models such as MariaDB, MongoDB, and PostgreSQL and send data upon request, in JSON format, to UI front ends.
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Database: Experience with RDBMS(Oracle, MySql, PostGres) as well as NoSQL (MongoDB, Cassandra, Hbase) Automation: Docker, Ansible, Puppet, Chef, etc. Cloud Native: Provisioning Azure, AWS, and or Google Cloud environments as well as working with tools like Cloud Foundry and / or Kubernetes.
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Big data technologies to include: Data Ingest (JSON, Kafka, Microservices, Elastic Search), Analytics (HIVE, SPARK, R, PIG, OOZIE workflows), Elasticsearch, Hadoop (HIVE data, OOZIE, Spark, PIG, IMPALA, HUE), COTS Integration (Knowi, MongoDB, Oracle, MySQL RDS, Elastic, Logstash, Kibana, Zookeeper, Consul, HADOOP/HDFS), Docker and Chef.
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Relevant Technologies : Java, Vertx, MongoDB, Elasticsearch, OpenAPI, Docker, GraphQL, Node.js, Kafka, Kubernetes, Adobe Experience Manager. Experience with NoSQL databases such as Elasticsearch or MongoDb.
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