DevOps Engineer with Security Clearance

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Job description

Black Cape DevOps Engineer Locations: Reston, VA, Washington DC (JBAB) OR Chantilly, VA (various locations) ONSITE: Ability to go ONSITE Up to 5 days per week CLEARANCE: MUST HAVE an Active TS/SCI Clearance If you do not have a TS/SCI+ security clearance, we likely will NOT contact you. It does take US citizens 6 months - 2 years to attain, so we do need folks that already have one in place DESCRIPTION: Black Cape is seeking a Mid-level and Senior-level DevOps Engineers with a minimum of 3 years of experience working on production systems. We are seeking self-starters, who can learn new technologies, and can accomplish tasks in the absence of day-to-day product and engineering oversight. The candidate should have solid knowledge and experience in the areas of deploying software to cloud and on-prem environments, Continuous Integration/Deployment/Monitoring (CI/CD), containerization, microservice environments, and experience with provisioning tools. This position will primarily serve on a mission-focused data management and analytics project that is powering machine learning via a "large data" pipeline supporting national security use-cases. Candidates should be able to satisfy the below requirements, but also take an active role in articulating and delivering a technical vision. The ideal candidates will have the ability to communicate advantages and disadvantages of each technology and work collaboratively to answer a larger technical vision with the appropriate technology. This Teammate will be expected to discuss the technologies below (to the best of their ability) and speak to their experience fielding, maintaining, or navigating technology projects with those technologies. POSITION OBJECTIVES: 1. Operate and maintain a mission-critical cloud based system in multiple customer environments 2. Deploy the latest code and security updates to cloud-based systems 3. Make system changes to ensure all configurations work in a clustered deployment environment 4. Provide recommendations and a pathway on how to scale each component of a given technology, e.g., how to scale processing and storage across a complex technology product 5. Support the engineering team in benchmarking components of the system Required Knowledge, Skills, and Abilities: • TS/SCI clearance and ability to get Privileged User Access (PUA) on customer systems • Ability to go onsite up to 5 days a week to customer sites • Experience working in classified environments; Awareness of technical limitations within those systems and environments • Familiarity and experience negotiating complex accreditation and security requirements • Strong preference to candidates with a demonstrated experience of the accreditation and RMF process • Experience operating and maintaining systems deployed to Linux-based environments. • Experience with cloud environments including AWS, Azure, or Google Cloud Platform. Preference is for AWS experience • Experience with cloud provisioning tools such as Terraform, AWS CloudFormation or Azure Resource Manager. • Experience with software provisioning tools such as Ansible or Salt stack • Strong communication skills and the ability to work on small teams to accomplish mission goals Highly Desired Knowledge, Skills, and Abilities: • Experience with Python and bash scripting to automate tasks • Experience working with streaming data and automation systems such as Kafka, NiFi, RabbitMQ, or similar • Experience with deploying to container orchestration platforms such as Kubernetes, OpenShift, Rancher, and Docker Swarm • Experience working with S3 compliant data stores (AWS S3, Azure Blob, MinIO) • Experience working with document storage solutions (Elasticsearch, Mongo) • Experience with Gitlab CI, Jenkins, Bamboo or other CI/CD tools for automating deployments • Experience with designing highly scalable, fail-safe, cloud native systems to support cloud native systems with data processing pipelines • Certificates such as Security+, CISSP, and AWS certifications About the company: (Black Cape) Want to be a part of a LOYAL, Intelligent, Talented, Dynamic & FUN 5-year-old Team and help build something GREAT • Then, you should consider Us! • We work with the Intelligence Community to accomplish their goals! • Come join us in creating cloud-native web applications, advanced data analysis tools, and new machine learning capabilities!

Be a part of a team that is making an IMPACT on the world and its safety and HAVE FUN while doing so! This 5-year-old company has been developed by Proven Success Stories, in the way of Founders. We are a COOL and FUN crew that works hard and plays maybe even a little harder Our Core Team is an impressive bunch with exceptional leadership at the helm! Black Cape is a Veteran-Owned Small Business with a strong reputation working with top tier partners supporting many programs across the Intelligence Community and Department of Defense as both a prime and a subcontractor. Black Cape provides full-stack software development and software integration capabilities for traditional, cloud, and hybrid-cloud environments. We also bring experience in building and deploying machine learning models and artificial intelligence applications. Our experienced and highly skilled engineers and analysts apply proven and repeatable technical and analytical approaches and frequent interaction with end users to produce and deploy task-specific to enterprise-deployable capabilities. Black Cape's technical focus areas include: SOFTWARE ENGINEERING FOR MISSION APPLICATIONS. Our team applies a proven data-centric methodology to our agile software development. We excel at rapid prototyping in demanding environments and have a proven track record for getting relevant capabilities deployed to DoD and Coalition Partner end-users. DATA ANALYTICS. We help National Security customers apply proven principles to operate data science teams and data fusion cells with maximum impact. Our experience operating on classified networks (e.g. SOIS, SOCRATES, JWICS, SIPRNET) ensures we only bring methods and technologies that are approved for use in government environments. MACHINE LEARNING. We apply best-of-breed machine learning frameworks (TensorFlow, scikit-learn, and xgboost) to create and deploy machine learning models for classification and regression. In addition to standard supervised machine learning techniques, we bring unique instance-based learning capabilities based on WorldPixel8 and our historical data holdings. The Black Cape model combines lessons learned from developing and deploying multiple applications to production on JWICS and Amazon Web Services (AWS) with commercial best practices in DevOps and Agile development. Our combination of practical experience and commercial practices is optimized to reduce risk and ensure successful capability delivery. Our team develops and implements technical solutions on an aggressive schedule across the US Intelligence Community (IC) and the Department of Defense (DoD). Our experienced and highly skilled engineers and analysts apply proven and repeatable technical and analytical approaches and frequent interaction with end users to produce and deploy the appropriate capabilities.

Great Benefits: Competitive Salary 401K Generous Paid Time Off Medical Profit Sharing and MORE! CONTACT: to learn MORE

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