Job Description ECS is seeking a
Software Engineer to work in our
Fairfax, VA office.
Job Description:
ECS is seeking a Software Engineer to support the execution of a variety of projects including Artificial Intelligence/Machine Learning and Big Data/Cloud Solutions, with a focus supporting Naval Acoustics AI/ML. This position requires strong technical leadership skills, experience with various modern software languages, machine learning architecture, and enterprise application integration. The candidate works closely with both the project and technical teams to swiftly prototype and develop solutions in an agile environment and deploy capabilities to the cloud computing environment and operational end user. The candidate cultivates an environment that promotes customer service, excellence in communication, innovation, collaboration, and teamwork. The Software Engineer performs in a multidisciplinary team environment to ensure deadlines are met.
Responsibilities:
Develops software solutions by studying information needs, conferring with end-users, and studying systems flow, data usage, and work processes.
Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions.
Establish and meet projected timelines and work independently or as a member of a team.
Provides information by collecting, analyzing, and summarizing development and service issues.
Improves operations by conducting systems analysis and recommending changes in policies and procedures.
We are a rapidly growing company that considers our employees and teams to be our most important assets. Our team environment provides opportunities for growth to individuals who are motivated to excel. We are situated in Merrifield, VA -- well positioned for most commutes within the Northern Virginia area. Our newly renovated office spaces are first in class facilitating a teamwork environment. We also offer opportunities for telework and have some of the most interesting, advanced IT business in the DC area. Our growing program works with the most forward leaning technologies and extraordinary customers who are thought and action leaders in within the AI/ML domain. We offer a highly competitive compensation and benefits package to the right person for this key position.
Required Skills - BA/BS degree in Computer/Mechanical/Electrical Engineering; Computer Science or a related Information Technology field or equivalent experience
- Secret Clearance with the ability to obtain TS/SCI
Proficiencies in modern programming languages such as Python, Java, and JavaScript
Experience utilizing containerization technologies (e.g. Docker) and orchestration frameworks (e.g. Kubernetes)
5 years of experience coding, designing, deploying, and supporting enterprise level systems
Strong analytical and reasoning skills with an ability to visualize processes and outcomes
Enhancing applications by identifying opportunities for improvement, making recommendations, and designing and implementing systems
Experience developing Architecture and Data Flow Diagrams
A skilled intelligent, articulate individual who relates to people at all levels of an organization; possesses excellent technical writing and presentation skills
Familiarity with Windows and Linux operating systems
Ability to work in a fast-paced environment
Ability to travel (10%) to mostly CONUS locations
Ability to quickly grasp and implement new technologies
A self-motivated, self-starter that enthusiastically embraces pushing imaginative solutions to hard operational problems
Desired Skills aster's degree in Computer Engineering, Electrical Engineering, or a related technical field
Experience working with signals data such as Acoustic Data, Sonar Systems, and Acoustic Engineering
Experience in Computer Vision/Computer Graphics and Homography
Experience with Machine Learning algorithms
Experience with DevSecOps frameworks
Experience utilizing big data and cloud tools and technologies
Experience working with Cloud Technologies (Azure, Google Cloud Platform, AWS)
Experience working with Department of Defense organizations or performers.