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Stack Infrastructure Jobs in Maryland (NOW HIRING)

Nightwing

Infrastructure Engineer - Cloud Native

Annapolis, MD · On-site

$106K - $139K/yr

Infrastructure Engineer Location: Onsite - National Business Park, Maryland Nightwing is seeking an ... Plan and configure network software stacks that integrate microservices and distributed systems for ...

Nightwing

Infrastructure Engineer - Cloud Native

Annapolis, MD · On-site

$106K - $139K/yr

Plan and configure network software stacks that integrate microservices and distributed systems for ... Optimize infrastructure performance to support heavy workloads, improve fault tolerance, and ...

Intezra, Inc.

Infrastructure Engineer

Columbia, MD · On-site

$130K - $220K/yr

Infrastructure Engineer Columbia, MD | Full Time | TS/SCI with Polygraph Required Position ... Familiarity with observability stacks (Grafana, Prometheus, Splunk). * Scripting fluency (Python ...

GDIT

Full Stack Engineer

Bethesda, MD · On-site

No GDIT is looking for a Full Stack Platform Engineer to join our National Institutes of Health ... Contribute to Infrastructure as Code (IaC) by making scoped enhancements to Terraform modules and ...

BLN24

Full Stack Developer (Hybrid/On-Site)

Suitland, MD · On-site

$100K - $105K/yr

This role combines full-stack software engineering, Linux and on-premises infrastructure experience, data-oriented development, automated testing, and legacy modernization. The ideal candidate is ...

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All JobsStack Infrastructure JobsStack Infrastructure Jobs in Maryland

Stack Infrastructure information

See Maryland salary details

$43.2K

$130.8K

$184.9K

How much do stack infrastructure jobs pay per year?

As of Aug 26, 2026, the average yearly pay for stack infrastructure in Maryland is $130,800.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $153,300.00 per year, depending on experience, location, and employer.

What is stack infrastructure?

Stack Infrastructure is a company that specializes in providing data center solutions, including colocation and cloud infrastructure services. They design, build, and operate data centers for businesses requiring secure, reliable, and scalable IT environments. Stack Infrastructure supports enterprises with high-performance computing needs and offers customizable infrastructure to accommodate growth and technological advancements.

What are the key skills and qualifications needed to thrive in stack infrastructure roles?

To excel in Stack Infrastructure roles, you need a solid understanding of data center operations, networking, hardware management, and often a degree in IT or related fields. Familiarity with tools like virtualization platforms (VMware, Hyper-V), monitoring systems, and certifications such as CompTIA Server+, Cisco CCNA, or AWS Certified Solutions Architect are typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this position. These skills ensure the reliable and secure operation of critical infrastructure, supporting business continuity and scalable technology solutions.

What are some common challenges faced by professionals working in stack infrastructure roles, and how can they be addressed?

Professionals in Stack Infrastructure often face challenges such as managing scalability, ensuring system reliability, and coordinating between development and operations teams. Adapting to rapidly evolving technologies and maintaining security standards can also be demanding. Overcoming these challenges typically involves staying current with industry best practices, utilizing automation tools, and fostering clear communication within cross-functional teams. Continuous learning and proactive problem-solving are key to thriving in this dynamic environment.

Is Stack Infrastructure a good company to work for?

Stack Infrastructure offers roles related to infrastructure management, often involving skills in cloud platforms, networking, and system administration. Employee reviews indicate a focus on technical growth and collaborative environments, but experiences can vary based on role and location.

What are popular job titles related to Stack Infrastructure jobs in Maryland?

For Stack Infrastructure jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Stack Infrastructure jobs in Maryland look for?

The top searched job categories for Stack Infrastructure jobs in Maryland are:

Stack Infrastructure jobs near you
Infographic showing various Stack Infrastructure job openings in Maryland as of August 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $130,800 per year, or $62.9 per hour.

Full Stack Software Engineer (AI Infrastructure)

Columbia, MD • On-site

The Josef Group
11 - 50 employees
Learn more about The Josef Groupexternal

$120 - $180/hr

Other

Posted 8 days ago

Job description

Full Stack Software Engineer (AI Infrastructure)
  • Columbia, Maryland

Description: Join us in building the next generation of AI infrastructure that will power innovation across the customer organization. We're seeking a full-stack software engineer to support our AI infrastructure team. In this role, you'll help build and maintain the platform that provides the foundation for the customer's AI capabilities, with a focus on inference services while supporting a broader ecosystem of AI-enabled applications.

Responsibilities:
  • Implement and support infrastructure for AI model inference under the guidance of senior engineers.
  • Contribute to the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG) and autonomous agents.
  • Participate in implementing monitoring, logging, and observability for AI services.
  • Assist with automating infrastructure provisioning and configuration using IaC principles.
  • Help ensure availability, reliability, and performance of AI platform components.
  • Follow established security best practices for AI systems and data.
  • Work within ambiguous problem spaces while learning to define structured solutions.
  • Collaborate with cross-functional teams and contribute to shared engineering standards.
Skills Requirements:
  • Experience contributing to production systems.
  • Familiarity with high-volume web application architectures.
  • Exposure to cloud engineering, preferably AWS.
  • Working knowledge of Kubernetes concepts and containerized deployments.
  • Proficiency in Python.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Ability to learn unfamiliar technologies quickly.
  • Strong communication skills and willingness to ask questions.
Nice to Haves:
  • Exposure to AI inference serving technologies (vLLM, LiteLLM, etc.).
  • Familiarity with agentic frameworks (LangChain).
  • Awareness of vector databases and embedding systems.
  • Interest in distributed systems or performance engineering.
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