Cloud Software Engineer-Principal

NetSage•Annapolis Junction, MD

About The Position

At NetSage, we are more than a government contractor—we are a mission-focused partner dedicated to advancing national security through exceptional cyber expertise. We believe our success begins with our people, which is why we invest in and care for our employees. We know that employee retention is mission continuity, and we are committed to building long-term careers where our people can grow alongside our customers' evolving missions. Our employees enjoy meaningful work, competitive compensation, outstanding benefits, and opportunities to expand their skills across multiple mission areas. To learn more about our comprehensive benefits and what it's like to build your career at NetSage, visit our Careers page. Due to the sensitive nature of the work we support, some job descriptions intentionally provide a high-level overview of the role. If you'd like to learn more about a particular opportunity, we encourage you to apply directly or connect with us through our Get In Touch page. We'd be happy to discuss how your experience aligns with our mission and explore where you can make an impact. We are seeking a Principal Cloud Software Engineer to develop, maintain, and enhance complex and diverse Big-Data Cloud systems based upon documented requirements. In this role, you will work across the full software lifecycle, designing cloud architectures, developing microservices and data-processing capabilities, deploying applications across distributed environments, and integrating front-end, back-end, and data technologies into scalable solutions. The ideal candidate for this role will offer subject-matter expertise in Cloud Computing and the Hadoop Eco-System including implementing Java applications, Distributed Computing, Information Retrieval (IR), and Object-Oriented Design. Please consider applying if you meet the following qualifications.

Requirements

TS/SCI with polygraph security clearance.
A Bachelor of Science (B.S.) degree in Computer Science or a related field and twelve (12) years of relevant experience. Also acceptable are a Master of Science (M.S.) degree and ten (10) years of experience or no degree and sixteen (16) years of relevant experience.
Relevant experience qualifies as professional experience in cloud software engineering on projects with similar Big-Data systems.
A Cloudera Certified Hadoop Developer certification may be substituted for one (1) year of relevant experience.
At minimum, the following cloud-related experience is required:
Two (2) years of Cloud and/or Distributed Computing Information Retrieval (IR).
One (1) year of experience implementing code that interacts with Cloud Big Table.
One (1) year of experience implementing code that interacts with Cloud Distributed File System.
One (1) year of experience implementing complex MapReduce analytics.
One (1) year of experience implementing code that interacts with Cloud Distributed Coordination Frameworks.
One (1) year of experience architecting Cloud Computing solutions.
One (1) year of experience debugging problems with cloud-based Distributed Computing Frameworks.
One (1) year of experience managing multi-node cloud-based installations.
Experience in Network Management, Virtualization (VMWare or VirtualBox), and/or Cloud Computing.
Experience securing cloud-based and distributed applications through industry standard techniques such as Firewalls, PKI Certificate, and Server Authentication with experience in corporate authentication service(s).
Experience in object-oriented design and programming to include Java, Eclipse, or similar development environments.
Experience with MAVEN and RESTful web services.
Experience with CentOS, Linux/RedHat, or configuration management tools such as Subversion, ClearQuest, or Razor.

Nice To Haves

Subject-matter expertise in Cloud Computing and the Hadoop Eco-System including implementing Java applications, Distributed Computing, Information Retrieval (IR), and Object-Oriented Design.

Responsibilities

Develop, maintain, and enhance complex and diverse Big-Data Cloud systems based upon documented requirements.
Work across the full software lifecycle, designing cloud architectures, developing microservices and data-processing capabilities, deploying applications across distributed environments, and integrating front-end, back-end, and data technologies into scalable solutions.