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Available Positions in St. Louis, MO

Jobs are listed from least to greatest experience required
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Opportunities

Cloud Systems Engineer

Skill Level: 2-Mid (6-12 years total experience)
Mid-level Cloud Systems Engineers define and implement approaches/plans to ensure optimum
cloud performance and reliability across servers, networks, related utilities and hardware which
comprise the cloud infrastructure. 

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Software 
​Engineer

Skill Level: 2-Mid (6-12 years total experience)
Mid-level Software Engineers lead the systematic engineering approach to ensure cybersecurity
is built into software as itis developed. They conduct threat modeling, employ cybersecurity
software and conduct risk assessments to detect and analyze cybersecurity threats. 
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Software/Agile
​Systems Engineer

Skill Level: 3-Senior (12-18 years total experience)
Senior Software Engineers provide software engineering services to support quarterly
deployments of the software baseline -- new capabilities, adaptive maintenance, and hardware
recapitalization. 
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​Systems Engineer

Skill Level: 3-Senior (12-18 years total experience)
Senior Systems Engineers guide engineering teams in taking a multi-discipline approach to requirements engineering, solutions engineering, scheduling, reliability, resiliency, services development, integration, test and evaluation, maintainability and analysis across the NSG, ASG and Federal Agencies to ensure timely and accurate GEOINT.
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Project Engineer

Skill Level: 3-Senior (12-18 years total experience)
Senior Project Engineers execute engineering tasks, taking a multi-discipline approach to full lifecycle engineering including but not limited to requirements engineering, solutions engineering, scheduling, reliability, resiliency, services development, integration, test and evaluation, maintainability and analysis across the NSG, ASG and Federal Agencies to ensure timely and accurate GEOINT. 
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Data Architect

Skill Level: 4-Expert (18+ years total experience)
A data architect is an individual who is responsible for designing, creating, deploying, and managing data architecture. Data architects define how the data will be stored, consumed, integrated, and managed by different data entities and IT systems, as well as any applications using or processing that data in some way.
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Hollis Consulting Management Services 2024
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