Enterprise - Back End Software Engineer - Java, REST, Kubernetes
Listed on 2026-05-31
-
Software Development
Software Engineer, Cloud Engineer - Software, Backend Developer, DevOps
Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving
, open communication
, and empowering our employees to make decisions and put forth new ideas. Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers.
We are seeking a talented Software Engineer 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.
- 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
A current Top‑Secret/SCI with FS polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.
ExperienceFourteen (14) years’ of relevant experience in software engineering, modernization, or solution architecture. Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Math, or Physics is required or equivalent combination of education, training, and experience is required.
Required 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
- 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)
- Processing paradigms:
- 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
- Above Market…
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