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Remote Infrastructure Software Engineer Jobs in Maryland

IAMUS Consulting

(9300) Software Engineer

Columbia, MD · On-site +1

As a Software Engineer focused on AI Integration, you will be responsible for designing, developing ... Experience with NiFi, Kafka, and cloud-based infrastructure (AWS, Azure). * Experience in SQL ...

NinjaOne

Senior Data Software Engineer

Baltimore, MD · On-site +1

$121K - $160K/yr

... infrastructure. You'll play a critical role in building, maintaining, and scaling our systems to ... Location - We are flexible on remote working from home, if you are located in the USA and reside in ...

VMD Corp

Software Engineer - TS/SCI

Bethesda, MD · On-site +1

The percentage of remote work will vary based on client requirements/deliverables. Specifically, we ... Utilizes software engineering and design methodologies appropriate to the development, integration ...

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Remote Infrastructure Software Engineer information

What is a remote infrastructure software engineer?

Remote Infrastructure Software Engineers are professionals who design, build, and maintain the core systems and services that support an organization's IT infrastructure, all while working remotely. They focus on ensuring that networks, servers, cloud environments, and related software are secure, scalable, and reliable. Their responsibilities may include automating deployment processes, managing cloud resources, monitoring system performance, and troubleshooting issues. By working remotely, they leverage various collaboration tools to communicate with teams and manage critical infrastructure from anywhere.

How does a remote infrastructure software engineer typically collaborate with cross-functional teams in a distributed work environment?

Remote Infrastructure Software Engineers regularly work with DevOps, security, and development teams to ensure that infrastructure solutions are reliable and scalable. Collaboration often happens through daily stand-ups, code reviews, and shared documentation platforms, making strong communication skills essential. Tools like Slack, Jira, and Zoom are commonly used to bridge the distance and keep projects aligned. Successfully navigating time zone differences and asynchronous communication is a key part of the role, requiring proactive updates and flexibility.

What are the key skills and qualifications needed to thrive as a remote infrastructure software engineer, and why are they important?

To thrive as a Remote Infrastructure Software Engineer, you need a strong background in software engineering, computer networking, and distributed systems, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), infrastructure-as-code tools (like Terraform or Ansible), and CI/CD systems is essential, along with relevant certifications like AWS Certified Solutions Architect. Excellent problem-solving, communication, and self-management skills are crucial for collaborating effectively across distributed teams and handling complex remote projects. These skills ensure secure, reliable, and scalable systems that support business goals in a remote work environment.
What are popular job titles related to Remote Infrastructure Software Engineer jobs in Maryland? For Remote Infrastructure Software Engineer jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Remote Infrastructure Software Engineer jobs in Maryland look for? The top searched job categories for Remote Infrastructure Software Engineer jobs in Maryland are:
What cities in Maryland are hiring for Remote Infrastructure Software Engineer jobs? Cities in Maryland with the most Remote Infrastructure Software Engineer job openings:
Remote Infrastructure Software Engineer jobs near you
Infographic showing various Remote Infrastructure Software Engineer job openings in Maryland as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

(9300) Software Engineer

IAMUS Consulting

Columbia, MD • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Posted 17 days ago

Job description

Description
We are currently seeking a talented and experienced Software Engineer to join our team to help build foundational AI integration frameworks and agentic platforms.
As 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.
Requirements
Essential Job Responsibilities
  • 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.

Minimum Qualifications
  • Security 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.
  • At least 5 years of experience in Software Engineering, with a strong focus on Python backend development and a Bachelors in related field; 3 years relevant experience with Masters in related field; or High School Diploma or equivalent and 9 years relevant experience.
  • 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.

Preferred Requirements
  • 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.

Compensation
At IAMUS Consulting, we're building a team of like-minded individuals who aren't afraid to work hard and support one another to achieve greater results. Fostering an environment where high-caliber employees can shine means that we offer benefits and support for our team both in the office and beyond. Our benefits include health insurance, life insurance, disability insurance, financial and retirement plans, paid leave, professional development, tuition assistance, and dependent care.
Salary at IAMUS Consulting varies based on location, education, skills, experience, as well as contract-specific affordability. The estimated salary range for this position is between $139,000 and $180,000. This estimate is one part of IAMUS Consulting's overall compensation package.

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