Software Engineer Security Clearance

Position: Software Engineer 2 with Security Clearance
At Wyetech, you'll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. The BH/AV PRIME program is seeking a Software Engineer 2 with strong back-end development experience-particularly in Hadoop and microservices-to join a small, high-impact software team.

If taking ideas from concept to working prototype in fast, iterative cycles excites you, and you enjoy solving complex problems in distributed systems, this role will give you the opportunity to have outsized impact on how our organization operates. You will work as a hands-on engineer on a close-knit team, designing and building scalable back-end services and data-intensive systems that support mission-critical applications.

*** This position is eligible for a $5k bonus! (Includes 20% SEP IRA contribution)
*** Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). Capabilties
* Design, develop, maintain, and enhance complex back-end software systems based on documented requirements.
* Implement services and data pipelines using Hadoop and related big-data technologies.
* Build and evolve microservices-based architectures, including service boundaries, APIs, and inter-service communication patterns.
* Utilize sound software design and development methodologies to build, integrate, and execute simulations in development and test environments.
* Provide input to system and software design, including hardware/software trade-offs, software reuse strategies, and effective use of COTS/GOTS components versus new development.
* Perform requirements analysis and synthesis from system level down to individual services and modules.
* Implement and consume RESTful APIs to integrate back-end services with other systems and client applications.
* Containerize services (e.g., Podman/Docker) and deploy them to orchestrated environments (e.g., Kubernetes).
* Diagnose and resolve complex issues in distributed systems, including performance analysis, latency reduction, and scalability tuning.
* Apply strong analytical troubleshooting and performance evaluation techniques across the stack.
* Collaborate with team members and stakeholders to refine requirements, estimate work, and deliver incremental value.
* Participate in code reviews, testing, and continuous improvement of engineering practices.
* Work independently when needed, demonstrating ownership, follow-through, and clear communication.

Required Qualifications
* TS/SCI with agency appropriate poly
* Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Math, or Physics is required or equivalent combination of education, training, and experience
* Minimum 14 years of relevant experience in software engineering, modernization, or solution architecture Required Technical Skills
* Strong Java development skills for back-end and service-layer implementations.
* Experience building and consuming RESTful services.
* Hands-on experience with containers (Podman and/or Docker).
* Experience with container orchestration platforms such as Kubernetes.
* Practical experience designing and implementing microservices architectures.
* Back-end development experience with Hadoop or similar big-data processing frameworks. Desired Technical Skills
* Experience deploying and operating applications in cloud environments such as AWS or on hyper-converged infrastructure (HCI).
* Familiarity with observability tools (logging, metrics, tracing) for distributed systems.
* Experience working in agile or iterative development environments. Familiarity with Two or More of the Following:
* Processing paradigms:
Machine Learning workflows, streaming data processing, and/or batch processing pipelines.
* Data stores:
Mongo

DB, Arango

DB, Redis, Postgre

SQL (data modeling, performance tuning, and operations).…