Software/Cloud Engineer (Big Data) - Mostly Remote
Role details
Job location
Tech stack
Job description
The ideal candidate will be an experienced Big Data/Distributed Software engineer with a strong foundation in distributed Data warehousing, Java, (or JVM language), and strong OOP for designing, developing, and maintaining high-quality solutions. Collaboration and innovation are at the core of this role, requiring a proactive approach to problem-solving and continuous learning.
Join our team to contribute to innovative engineering projects, creating reliable, scalable, and high-performing software for efficient data processing and informed decision-making. This position is ideal for individuals who are passionate about designing efficient, secure, and scalable software and thrive in a collaborative environment. You'll own your technical designs, and help shape the big picture. This is your chance to work on real-world challenges in a place where you can learn and grow while supporting mission-critical applications!
*Must be willing to have occasional travel to one of our SCIF sites (Columbia, MD, Ft Meade, MD, Chantilly, VA or Ft Belvoir, VA) to deploy on the high side as needed., * The Distributed Software Engineer will play a key role in monitoring system performance, identifying bottlenecks, and implementing proactive measures to prevent service disruptions.
- Diagnose, troubleshoot, and remedy complex distributed data warehouses.
- Architect cloud based solutions to index VERY large datasets in a cost effective manner.
- Develop monitoring solutions for distributed platforms to ensure health and status of distributed systems.
- Collaborate with development and operations teams to streamline processes and improve system performance.
- Maintain documentation related to system configurations, processes, and procedures.
- Participate in regular security assessments and compliance audits.
- Support continuous integration and continuous delivery (CI/CD) processes.
- Collaborate with cross-functional teams to integrate hardware systems with existing software solutions.
Requirements
- Must have a minimum of Seven (7)+ years of hands-on experience as a Software Engineer, Data Architect/Engineer, Staff Data Engineer, or Software Systems Architect/Engineer, or related skillset
- Strong foundation in Distributed Data warehousing, and Java (or similar JVM language)
- Strong proficiency in Object Oriented Programming (design patterns, SOLID, etc)
- Tech stack: Must have experience with one of the following: Java, Scala, Kotlin, or JVM
- Strong Data and architecture background (Distributed systems, microservices, high availability, etc.)
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Information Assurance, or related discipline from an accredited college/university
- (Note - One year of relevant experience ((including relevant certifications)) may be substituted for each year of required education and qualifications)
- Knowledge of networking protocols and hardware configurations
- U.S. citizenship required
- Active TS/SCI w. Polygraph clearance required
Preferred Skills and Experience:
- Hands-on technical experience with Accumulo and AWS is a huge plus.
- Experience in the DoD/Cyber Security industry is highly desirable.
- Experience with geospatial warehousing.
- Proficient in scripting languages (e.g., Python, Bash).
- Knowledge of monitoring tools (e.g., Nagios, Prometheus) for hardware and software systems.
- Experience with version control systems (e.g., Git).
- Familiarity with containerization technologies (e.g., Docker, Kubernetes) .
- Experience with CI/CD pipelines in a containerized environment.
- Experience monitoring application performance with metrics (Prometheus, InfluxDB, Grafana) and logs with ELK Stack (ElasticSearch, Logstash, Kibana)
- Have, or obtain Security+ certification or equivalent DoD 8570 IAT II certification