Systems Engineer, Senior

Everwatch•Annapolis Junction, MD

2d•Onsite

About The Position

EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country’s most critical missions. We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success. EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives. As a Systems Engineer on our team, you will lead the design, development, and implementation of enterprise-scale data models, ontologies, and distributed systems that support advanced analytics, mission operations, and national security objectives. Your customers will trust you to not only architect and integrate enterprise systems, but also modernize and evolve them using advanced technologies including AWS, Kubernetes, Apache Kafka, and scalable semantic data frameworks. On our team, you’ll have the opportunity to broaden your expertise across enterprise systems engineering, ontology and model development, cloud adoption, and high-throughput distributed computing environments. You’ll collaborate with cross-functional teams, mentor engineers on modern development practices, and help deliver scalable, resilient, and well-documented mission platforms supporting next-generation intelligence and analytics capabilities. Join us. The world can’t wait.

Requirements

Experience with designing and implementing enterprise-scale ontologies, logical data models, graph modeling, semantic technologies, entity resolution, taxonomy management, and metadata tagging to support advanced analytics and discovery
Experience with architecting and integrating scalable backend systems and high-throughput data pipelines using Apache Kafka, including cluster management, topic configuration, message-key strategies, topic compaction, and performance tuning
Experience with deploying and orchestrating containerized applications within Kubernetes (K8s) environments, including the use of CRDs, Operators, and cloud-native architectures in AWS
Experience with Java, Spring Boot, API development, OpenAPI/Swagger documentation, and enterprise-grade backend service implementation
Experience with CI/CD automation, Infrastructure as Code (Terraform/CloudFormation), and enterprise systems engineering best practices within distributed computing environments
Knowledge of monitoring, observability, and performance management tools and frameworks including Prometheus, Grafana, ELK, Kafka clusters, and graph database technologies
TS/SCI with a polygraph
Bachelor’s degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university and 20+ years of experience or 25+ years experience in lieu of degree

Nice To Haves

Experience with Neo4j graph databases, including Cypher, APOC, and Graph Data Science (GDS) for advanced graph analytics and modeling
Experience with ontology and semantic web standards, including OWL (Ontology Web Language) and RDF (Resource Description Framework), for knowledge representation and linked data systems
Experience with social media sentiment analysis and its application to financial modeling, predictive analytics, or decision-support systems
Knowledge of data science, machine learning, and graph-based analytics applied to large-scale structured and unstructured datasets
Ability to design and apply quantitative, statistical, and computational methods to complex enterprise or mission-driven data problems
Ability to integrate and analyze multi-source datasets to develop semantic, scalable, and analytically rich data models

Responsibilities

Lead the design, development, and implementation of enterprise-scale data models, ontologies, and distributed systems that support advanced analytics, mission operations, and national security objectives.
Architect and integrate enterprise systems, and modernize and evolve them using advanced technologies including AWS, Kubernetes, Apache Kafka, and scalable semantic data frameworks.
Broaden expertise across enterprise systems engineering, ontology and model development, cloud adoption, and high-throughput distributed computing environments.
Collaborate with cross-functional teams.
Mentor engineers on modern development practices.
Deliver scalable, resilient, and well-documented mission platforms supporting next-generation intelligence and analytics capabilities.
Translate business and operational requirements into technical specifications, architectural diagrams, scalable engineering solutions, and long-term platform strategies.
Provide technical leadership through troubleshooting complex distributed systems issues, mentoring engineering teams, and communicating architectural concepts to technical and executive stakeholders.