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Entry Level Site Reliability Engineer Jobs in Baltimore, MD

Sopra Steria

Platform Engineer Cloud Native

Pasadena, MD · On-site

$56.75 - $75.75/hr

Erfarenhet fran DevOps-leveranser och/eller erfarenhet som Site/Service Reliability Engineer (SRE) * Forstaelse for moderna Cloud Native mikrotjanster och handelsedriven arkitektur * Erfarenhet av en ...

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All JobsSite Reliability Engineer JobsEntry Level Site Reliability Engineer JobsEntry Level Site Reliability Engineer Jobs in Baltimore, MD

Entry Level Site Reliability Engineer information

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$10

$63

$91

How much do entry level site reliability engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for entry level site reliability engineer in Baltimore, MD is $63.34, according to ZipRecruiter salary data. Most workers in this role earn between $54.47 and $72.36 per hour, depending on experience, location, and employer.

Are entry level site reliability engineers in demand?

Entry level site reliability engineers are in high demand due to the increasing reliance on cloud infrastructure, automation, and system stability. Employers seek candidates with knowledge of scripting, monitoring tools, and cloud platforms like AWS or Azure, making this a growing field for new professionals.

How do I get into an Entry Level Site Reliability Engineer?

To become an entry-level Site Reliability Engineer, candidates typically need a bachelor's degree in computer science, engineering, or a related field, along with foundational knowledge of Linux systems, scripting, and cloud platforms like AWS or GCP. Gaining experience through internships, personal projects, or certifications such as the Google Cloud or AWS Certified Solutions Architect can improve job prospects. Familiarity with monitoring tools, automation, and understanding of system reliability principles are also beneficial.

What are the key skills and qualifications needed to thrive in the entry level site reliability engineer position?

To thrive as an Entry Level Site Reliability Engineer, you need a solid understanding of Linux systems, networking fundamentals, basic programming or scripting (such as Python or Bash), and generally a bachelor's degree in computer science or a related field. Familiarity with cloud platforms (like AWS, GCP, or Azure), configuration management tools (such as Ansible or Terraform), and version control systems (like Git) is commonly expected, while certifications can be a plus. Strong problem-solving skills, attention to detail, excellent communication, and a collaborative mindset will help you stand out in this position. These skills and qualities are vital for maintaining system reliability, quickly resolving incidents, and effectively supporting development teams in a dynamic operations environment.

What are some typical responsibilities I can expect as an entry level site reliability engineer?

As an Entry Level Site Reliability Engineer, you’ll often be responsible for monitoring system performance, responding to incidents, automating operational tasks, and assisting with software deployments. You may also support your team in troubleshooting issues, documenting solutions and procedures, and participating in on-call rotations. Collaboration with software developers, IT support, and other SREs is common to ensure systems are reliable and scalable. Over time, you’ll gain exposure to more advanced tasks like infrastructure improvement projects and building new automation tools, setting a strong foundation for career growth in site reliability engineering.

What is an entry level site reliability engineer?

An Entry Level Site Reliability Engineer (SRE) is responsible for maintaining the reliability, scalability, and performance of software systems. They help bridge the gap between software development and IT operations by automating processes, monitoring system health, and responding to incidents. Entry-level SREs typically work on tasks such as writing scripts, managing cloud infrastructure, and improving deployment pipelines. They collaborate with development and operations teams to ensure systems run efficiently and with minimal downtime. Strong problem-solving skills and a foundational understanding of coding, networking, and cloud services are essential for success in this role.

What are the most commonly searched types of Site Reliability Engineer jobs in Baltimore, MD? The most popular types of Site Reliability Engineer jobs in Baltimore, MD are:
What are popular job titles related to Entry Level Site Reliability Engineer jobs in Baltimore, MD? For Entry Level Site Reliability Engineer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Entry Level Site Reliability Engineer jobs in Baltimore, MD look for? The top searched job categories for Entry Level Site Reliability Engineer jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Entry Level Site Reliability Engineer jobs? Cities near Baltimore, MD with the most Entry Level Site Reliability Engineer job openings:
Entry Level Site Reliability Engineer jobs near you
Infographic showing various Entry Level Site Reliability Engineer job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $131,740 per year, or $63.3 per hour.

Junior Software Engineer - Inference with Security Clearance

Neural Solutions

Columbia, MD • On-site

$138K - $163K/yr

Other

Posted 6 days ago

Job description


We’re seeking a software engineer to support our AI infrastructure team at Columbia, MD. In this role, you’ll help build and maintain the foundation for customer AI capabilities while supporting a broader ecosystem of AI-enabled applications. Responsibilities: * Procure, configure, and test new inference models, preparing them for release to our user base. * Develop in-house services and techniques to guarantee continual high-quality inference service for our customer. * Work with model vendor teams and representatives to create reliable pipelines for closed-source model usage. * Collaborate with teammates on surge efforts to support short-term, high-priority inference needs from our customer. * Engage with other teams in our organization to establish solid infrastructure for our services and integrate LLM-powered tools for user needs. Required Skills: * Experience with Python and/or other modern programming languages. * Familiarity with Argo CD and/or other CI/CD frameworks. * Experience with Kubernetes/Helm. * Familiarity with AWS or other cloud service providers. * Ability to learn new technologies quickly. * Strong communication skills and willingness to ask questions. Nice to Have: * Experience with vLLM, LiteLLM, or similar inference-serving frameworks. * Experience with other LLM hosting frameworks and practices. * Experience supporting production software using Site Reliability Engineering (SRE) best practices. * Experience with Elastic, Grafana/Prometheus, or other observability frameworks and practices. * Experience with Docker and containerization. * Experience in traffic shaping and quality-of-service engineering. * Knowledge of and interest in hosting AI capabilities. Experience Required: 3 years with Bachelor's degree in a technical discipline or 7 years without degree Location: Columbia, MD Clearance: TS/SCI with Polygraph required Salary Range: $138,000 - $163,000

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