Production Operations (ProdOps) Engineer - Shift work (flexible)

Black Cape•Bethesda, MD

3d•Onsite

About The Position

Black Cape is a unique technology company with a focus on full-stack web applications, advanced data analysis tools, and integrating AI/ML capabilities for federal government customers. We are a COOL and FUN crew that works hard and plays maybe even a little harder. Our core team is an impressive group of engineers with exceptional leadership at the helm. Black Cape is led by proven business and engineering leaders with a track record of building innovative technology companies focused on building mission applications. We support many programs and agencies as both a prime and a subcontractor and created a strong reputation working with top tier partners doing work for all major Intelligence Community agencies, DoW, and Special Operations customers. Our engineer-led software teams develop technical solutions on an aggressive schedule across the DoW and IC to meet customer needs. Our engineers apply proven, repeatable software, technical, and analytical approaches to build solutions and have frequent interaction with end users to produce and deploy solutions. We bring experience in building, integrating and deploying AI/ML solutions using Google TensorFlow, Python scikit-learn, and other tools. Black Cape’s approach to solution development combines lessons learned from developing and deploying applications to customer cloud environments with industry best practices in Agile development and DevOps. 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.

Requirements

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 and work extended hours as necessary.
Experience working in classified environments; Awareness of technical limitations within those systems and environments.
Familiarity and experience negotiating complex accreditation and security requirements.
Experience operating and maintaining systems deployed to Linux-based environments.
Experience with cloud environments including AWS, OpenShift, or Kubernetes.
Experience with cloud provisioning tools such as Helm or AWS CloudFormation.
Strong communication skills and the ability to work with multiple teams to accomplish mission goals.
Must have an active Security+ or CISSP certificate and one technical certificate such as CKAD or AWS certification.
US Citizenship or a Security Clearance issued by a US Government Customer is a REQUIREMENT of the job.

Nice To Haves

Demonstrated experience of the accreditation and RMF process.
Experience with configuration management tools such as Ansible or Salt Stack.
Experience with CI/CD tools such as Jenkins or GitLab CI.
Experience with Python and bash scripting to automate tasks.
Experience working with S3 compliant data stores (AWS S3, Azure Blob, MinIO).
Experience working with document storage solutions (Elasticsearch, Mongo).
Experience working with streaming data and automation systems such as Kafka, NiFi, RabbitMQ, or similar.
Experience with designing highly scalable, fail-safe, cloud native systems to support cloud native systems with data processing pipelines.

Responsibilities

Operate and maintain a mission-critical cloud based system in multiple environments.
Monitor the state of services and systems used globally, resolving outages and problems as they arise and escalating when necessary.
Deploy the latest code and security updates to cloud-based systems.
Make system changes to ensure all configurations work in a clustered deployment environment.
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.
Support the engineering team in benchmarking components of the system.