Azure Cloud Engineer/Developer

Job not on LinkedIn

🕒 April 1

🏖️ New Jersey – Remote

🏖️ New Jersey – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 53%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Johnson Technology Systems, Inc. (JTSi)

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

💼 Consulting

B2B • Consulting

Johnson Technology Systems, Inc. (JTSi) is an IT & Engineering Services provider established in 2003, specializing in delivering mission-critical Professional IT Services primarily to the Public Sector. With a focus on ERP, cloud migration, DBMS, and SAP solutions, JTSi has built a reputation for understanding core business needs and providing high-value business solutions. The company emphasizes strong customer partnerships and continuous improvement, highlighted by its prestigious US Army ERP Services Contract award. JTSi is committed to delivering quality services at equitable rates, upholding the philosophy that the customer is always first.

📋 Description

• Design Hosted Services Deployment • IoT Application Management • MaaS Assessment Services • Mobile Application Custom Development • Mobile Application Database Connectivity • Mobile Application Offline Architecture • Open Source Container Orchestration • Relational Database Architecture for Cloud Applications • Search Design and Architecture • Serverless Computing • Unstructured Data Storage Architecture • Using Xamarin for cross-platform development • Web Application API Management • Web Application Development • Web Application Security

🎯 Requirements

• Deep Knowledge on Open Source Technologies for Distributed Data processing • Analysis of big data sets including writing jobs to process vast amounts of data and ETL processing • Expertise in tools such as: Apache Hadoop, MapReduce, Pig, Spark, Databricks, Hive • Knowledge on Open Source Technologies to perform fast, interactive SQL queries at scale over structured or unstructured big data sets • Expertise in tools such as: Apache Hive LLAP, Spark SQL, Phoenix • Knowledge on Open Source Technologies to enable ingestion and processing of millions of streaming events per second • Expertise in tools such as: Apache Kafka, Apache Storm, Apache Spark, Apache HBase • Knowledge on Performance Analysis and Optimization and operation of Apache Hadoop, Spark, Databricks • Knowledge on Open Source Technologies for Machine Learning such as: MLib • Strong expertise in ETL/ELT approaches and technologies such as: Azure Data Factory and SQL Server Integration Services • Software Development skills to write code on Java, Spark Scala, PySpark, Python

🏖️ Benefits

• Drug-Free Workplace • Equal Opportunity Employer (EOE) • Affirmative Action Employer