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Entry Level Site Reliability Engineer Jobs in Washington

Site Reliability Engineer

Columbia, MD

$250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Geon Technologies has an immediate need for a Site Reliability Engineer. About the Job: * Experience with automating the deployment, scaling and management of containerized application using ...

Site Reliability Engineer

Columbia, MD · On-site

$250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Geon Technologies has an immediate need for a Site Reliability Engineer. About the Job: * Experience with automating the deployment, scaling and management of containerized application using ...

Site Reliability Engineer

Columbia, MD · On-site

$250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Geon Technologies has an immediate need for a Site Reliability Engineer. About the Job: * Experience with automating the deployment, scaling and management of containerized application using ...

Site Reliability Engineer

Reston, VA · On-site +1

$87K - $157K/yr

  • Medical

  • Retirement

  • PTO

We need a Site Reliability Engineer who has experience building, deploying, automating, and operating complex compute platforms. You'll work across infrastructure, Linux systems, networking ...

New

Site Reliability Engineer

Springfield, VA · On-site +1

$87K - $157K/yr

  • Medical

  • Retirement

  • PTO

We need a Site Reliability Engineer who has experience building, deploying, automating, and operating complex compute platforms. You'll work across infrastructure, Linux systems, networking ...

New

Site Reliability Engineer

Herndon, VA · On-site +1

$87K - $157K/yr

  • Medical

  • Retirement

  • PTO

We need a Site Reliability Engineer who has experience building, deploying, automating, and operating complex compute platforms. You'll work across infrastructure, Linux systems, networking ...

New

Site Reliability Engineer

Burke, VA · On-site +1

$87K - $157K/yr

  • Medical

  • Retirement

  • PTO

We need a Site Reliability Engineer who has experience building, deploying, automating, and operating complex compute platforms. You'll work across infrastructure, Linux systems, networking ...

New

Site Reliability Engineer

Columbia, MD · On-site

$200 - $240/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Geon Technologies has an immediate need for a Site Reliability Engineer. About the Job: * Experience with automating the deployment, scaling and management of containerized application using ...

Site Reliability Engineer

Manassas, VA · On-site +1

$87K - $157K/yr

  • Medical

  • Retirement

  • PTO

We need a Site Reliability Engineer who has experience building, deploying, automating, and operating complex compute platforms. You'll work across infrastructure, Linux systems, networking ...

New

Site Reliability Engineer

Merrifield, VA · On-site +1

$87K - $157K/yr

  • Medical

  • Retirement

  • PTO

We need a Site Reliability Engineer who has experience building, deploying, automating, and operating complex compute platforms. You'll work across infrastructure, Linux systems, networking ...

New

Site Reliability Engineer

Chantilly, VA

$58.25 - $77.50/hr

We need a Site Reliability Engineer who has experience building, deploying, automating, and operating complex compute platforms. You'll work across infrastructure, Linux systems, networking ...

New

Senior Site Reliability Engineer

Reston, VA · On-site

$59.25 - $78.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Senior Site Reliability Engineer , you will be responsible for: * System Design and Operation: * Design and manage distributed Unix-based systems, particularly Oracle Linux. * Implement auto ...

Site Reliability Engineer

Sterling, VA · On-site +1

$87K - $157K/yr

  • Medical

  • Retirement

  • PTO

We need a Site Reliability Engineer who has experience building, deploying, automating, and operating complex compute platforms. You'll work across infrastructure, Linux systems, networking ...

New

Site Reliability Engineer

Falls Church, VA · On-site +1

$87K - $157K/yr

  • Medical

  • Retirement

  • PTO

We need a Site Reliability Engineer who has experience building, deploying, automating, and operating complex compute platforms. You'll work across infrastructure, Linux systems, networking ...

New

Site Reliability Engineer

Chantilly, VA · On-site +1

$87K - $157K/yr

  • Medical

  • Retirement

  • PTO

We need a Site Reliability Engineer who has experience building, deploying, automating, and operating complex compute platforms. You'll work across infrastructure, Linux systems, networking ...

New

Showing results 21-40

Entry Level Site Reliability Engineer information

See Washington salary details

$12

$72

$104

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

As of Aug 16, 2026, the average hourly pay for entry level site reliability engineer in Washington is $72.19, according to ZipRecruiter salary data. Most workers in this role earn between $62.07 and $82.50 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 Washington?

The most popular types of Site Reliability Engineer jobs in Washington are:

What are popular job titles related to Entry Level Site Reliability Engineer jobs in Washington?

For Entry Level Site Reliability Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Entry Level Site Reliability Engineer jobs in Washington look for?

The top searched job categories for Entry Level Site Reliability Engineer jobs in Washington are:

What cities in Washington are hiring for Entry Level Site Reliability Engineer jobs?

Cities in Washington with the most Entry Level Site Reliability Engineer job openings:

Infographic showing various Entry Level Site Reliability Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $150,163 per year, or $72.2 per hour.

Sr. Site Reliability Engineer

Tiger Analytics Inc.

Washington, DC • On-site

$64.50 - $85.75/hr

Full-time

Re-posted 9 days ago


Job description

Role Overview

We are seeking a high-caliber Site Reliability Engineer (SRE) to join our Forward Engineering team. You will be the guardian of our production ecosystems, ensuring that our complex, data-driven AI platforms remain resilient, scalable, and highly performant. This role is a hybrid of software engineering and systems architecture, with a specialized focus on MLOps—bridging the gap between model development and production-grade reliability.

Key Responsibilities1. Reliability & Performance Engineering
  • SLA/SLO Management: Define, monitor, and maintain Service Level Objectives (SLOs) and Service Level Indicators (SLIs) for critical AI/ML services.
  • Error Budgeting: Manage error budgets to balance the velocity of feature releases from the ML team with the stability of the production environment.
  • Scalability: Architect and manage auto-scaling strategies for Kubernetes (GKE) to handle fluctuating workloads during model training and high-volume inference.
2. MLOps & AI Infrastructure
  • Model Serving Reliability: Ensure the high availability of Vertex AI endpoints and custom inference services.
  • GPU/TPU Optimization: Monitor and optimize compute resource utilization (accelerators) to ensure cost-efficient performance for Large Language Models (LLMs).
  • Pipeline Resilience: Support and stabilize ML pipelines (Vertex AI Pipelines/Kubeflow) to ensure seamless data flow from ingestion to model retraining.
3. Automation & Orchestration (Eliminating "Toil")
  • Infrastructure as Code (IaC): Use Terraform or Pulumi to provision and manage consistent, version-controlled cloud environments.
  • CI/CD & GitOps: Design and optimize robust deployment pipelines for both application code and ML models using GitHub Actions, Cloud Build, or ArgoCD.
  • Task Automation: Develop custom Python or Go scripts to automate repetitive operational tasks, self-healing mechanisms, and resource cleanup.
4. Monitoring, Alerting & Incident Response
  • Observability: Build and manage comprehensive dashboards using Prometheus, Grafana, or Google Cloud Operations Suite (Stackdriver).
  • Incident Management: Act as a primary responder in on-call rotations, leading the technical resolution of production outages.
  • Blameless Post-Mortems: Conduct deep-dive root cause analysis (RCA) to ensure systemic issues are identified and permanently remediated through code.

Requirements

Orchestration: Expert-level knowledge of Kubernetes (K8s) and Docker.

MLOps Stack: Familiarity with tools such as Kubeflow, Vertex AI, MLflow, or DVC.

Scripting: Strong proficiency in Python (for automation) and Bash; knowledge of Go is a plus.

Data Systems: Experience managing the reliability of data-heavy services (BigQuery, Pub/Sub, or Vector Databases like Pinecone/Milvus).

Networking: Solid understanding of VPCs, Load Balancers, DNS, and secure service mesh (Istio/Anthos).

Benefits

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.