Enterprise - Software Engineer - Kubernetes, APIs, REST

Erias Ventures; Columbia (MD); Hybrid; USD 150,000 - 275,000; Full time

Benefits offered by this job

Above Market Hourly Pay

401k with Immediate Vesting

Bonuses for Business Growth

Professional Development Bonuses

Company-paid Medical Coverage

Vision and Dental Coverage

Job summary

Erias Ventures is seeking a Software Engineer focused on AI integration to design, develop, and implement the agentic platform for our Data Lake tool, JCRSD. The role centers on Python components and robust Kubernetes orchestration, with an emphasis on secure, scalable AI integration.

You will build MCP servers, reusable AI skills, and API adapters to connect internal systems to autonomous agents, while enforcing strict data privacy and safety guardrails.

Qualifications

• Five years software engineering with backend focus and a related degree.
• Experience integrating AI APIs or open-source models into production.
• Familiarity with Kubernetes, Docker, and Linux command line.

Responsibilities

• Design and develop Python-based components for the agentic platform.
• Deploy, manage, and scale apps in Kubernetes environments.
• Build MCP servers and reusable AI skills for safe AI interactions.
• Collaborate with teams to expose Java-based APIs to AI agents.
• Implement enterprise AI guardrails, data privacy, and prompt defense.
• Maintain strong testing and debugging across automated pipelines.

Skills

Kubernetes

Applied AI Experience

AI Concepts

RESTful APIs

Microservices

Linux CLI

Education

Bachelor's degree in related field

Master's degree in related field

High School Diploma + 9 years experience

Tools

Docker

Git

CI/CD Pipelines

Job description

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.

Description

We are seeking a Software Engineer focused on AI Integration. You will be responsible for designing, developing, and implementing the agentic platform for our proprietary Data Lake tool, JCRSD. This role is primarily focused on Python-based components and requires strong container orchestration skills to ensure seamless deployment.

This role is not focused on training foundational AI models from scratch. Instead, you will take industry best practices, open-source capabilities, and large language models (LLMs), and build a secure, scalable framework that allows our platform to seamlessly leverage AI. You will build Model Context Protocol (MCP) servers, reusable AI skills, strict safety guardrails, and coordinate with disparate internal teams to expose their APIs to our autonomous agents. If you are a self-motivated, creative software engineer who loves Python, Kubernetes, and treating AI as a complex software integration problem, we would love to hear from you.

• Design and develop Python-based components for our core agentic platform
• Deploy, manage, and scale applications within Kubernetes (K8s) environments efficiently right out of the gate
• Build Model Context Protocol (MCP) servers and a library of reusable "skills" (function calling/tools) that enable AI agents to safely interact with internal databases, microservices, and external APIs
• Collaborate with cross-functional teams to help them expose their Java-based APIs to our AI agents
• Implement strict enterprise AI guardrails, ensuring data privacy, sensitive data scrubbing, prompt injection defenses, and output validation to meet stringent security requirements
• Maintain an inquisitive nature, responsiveness, and excellent testing skills (including automated testing pipelines for non-deterministic AI outputs)
• Possess strong troubleshooting skills and the ability to work under pressure with multiple deadlines in a fast-paced, small-business environment
• Other duties as assigned.

This position allows for partial telework.

Clearance

Must obtain and maintain a U.S. Government Security Clearance, but not required on day one; U.S. Citizenship required. Can also consider candidates with current Secret or TS level clearance.

Experience

Five (5) years of experience in Software Engineering, with a strong focus on Python backend development and a Bachelors in related field; or three (3) years relevant experience with Masters in related field; or High School Diploma or equivalent and nine (9) years relevant experience.

Required Skills

• Kubernetes Proficiency: Demonstrated, hands-on experience deploying and managing containerized workloads in Kubernetes (K8s)
• Applied AI Experience: Hands-on experience integrating commercial LLM APIs (e.g., OpenAI, Anthropic) or open-source models into production backend applications
• AI Concepts: Demonstrated understanding of modern applied AI concepts such as prompt engineering, agents, function-calling/tool-use, and Retrieval-Augmented Generation (RAG)
• Experience in designing enterprise APIs, RESTful web services, and Microservices architecture
• Experience with configuration management tools (e.g., Git, CI/CD pipelines, Docker)
• Comfortable working on a Linux command line
• Must be able to work in a hybrid environment, spending an average of 1-2 days per week at our Columbia, MD office. Flexibility is essential to adapt to schedule changes as needed

Desired Skills

• Current Clearances: Active Secret or Top Secret clearances are a strong plus
• Java Interoperability (Plus): Familiarity with Java frameworks (e.g., Spring) or Java-based software capabilities to assist disparate teams in connecting their components to the agent platform
• Familiarity with Python-based AI integration frameworks (LangChain, LlamaIndex, CrewAI, AutoGen)
• Experience with Vector Databases, semantic caching, and AI observability tools
• Experience with NiFi, Kafka, and cloud-based infrastructure (AWS, Azure)
• Experience in SQL databases (e.g., Postgres, MySQL), distributed databases, or NoSQL databases
• Prior experience or familiarity with Big Data Platforms or Data Lake architectures
• DoD 8140 / 8570 IAT Level II compliance certifications may be required in this position as directed by the customer

Benefits

Erias Ventures provides a complete package of wealth, health, and happiness benefits. The expected salary range for this position, depending on education and years of experience is $150,000 - $275,000.

Wealth Benefits

• Above Market Hourly Pay
• 11% Roth or Traditional 401k with Immediate Vesting and Deposit
• Spot Bonuses for Assisting with Business Development and Company Growth
• Professional Development Bonuses for Certificates and Degrees

Health Benefits

• Company subsidized Medical Coverage
• 100% Company Paid Vision and Dental Coverage
• 100% Company Paid Long Term Disability, Short Term Disability, and Group Life Insurance
• Monthly Wellness Reimbursement

Happiness Benefits

• Paid Time Off with Flexible Work Schedules and Birthday Off
• Amazon Prime Membership and Monthly Internet Reimbursement
• Technology and Productivity Allowance for Equipment and Supplies
• Morale Building and Company Events to Celebrate our Successes and Build our Community
• Onboarding and Annual Swag
• Company Paid Professional Development and Training

At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Referrals & Inquiries

Do you know a cleared professional seeking to advance their career? Interested in earning some extra cash? If so, refer them to us with their name and contact details, and you could be eligible for a referral bonus of up to $10,000 for each successful hire.

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To learn more about our company visit our webpage or LinkedIn.