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Computer Science Google Jobs in Baltimore, MD (NOW HIRING)

Cloud Architect

Silver Spring, MD · On-site

$130K - $145K/yr

Bachelor's degree in Computer Science, Engineering, or a related technical field. * 5+ years of ... Proven experience with at least one major cloud provider (e.g., AWS, Azure, Google Cloud, or Oracle ...

Cloud Architect

Silver Spring, MD · On-site

$130K - $145K/yr

Bachelor's degree in Computer Science, Engineering, or a related technical field. * 5+ years of ... Proven experience with at least one major cloud provider (e.g., AWS, Azure, Google Cloud, or Oracle ...

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UI Developer

Silver Spring, MD · On-site

$51.75 - $67.25/hr

... like Google, Apple, Cognizant, Client, PayPal, to name a few. Our seasoned team firmly believes ... Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics ...

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ...

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Computer Science Google information

See Baltimore, MD salary details

$33.3K

$48K

$63.1K

How much do computer science google jobs pay per year?

As of Jul 6, 2026, the average yearly pay for computer science google in Baltimore, MD is $47,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,800.00 and $55,100.00 per year, depending on experience, location, and employer.

Can I work at Google with a computer science degree?

A computer science degree is a common qualification for many roles at Google, including software engineering, data analysis, and technical positions. Candidates typically need strong programming skills, experience with tools like Python or Java, and relevant internships or projects. While a degree is important, Google also values problem-solving ability, technical expertise, and practical experience.

What opportunities for career growth and development are available to computer science professionals at Google?

Computer science professionals at Google enjoy a wide range of career development opportunities, including technical and leadership tracks, mentorship programs, and internal mobility options. Google encourages continuous learning through free access to courses, workshops, and attendance at industry conferences. Team members can work on diverse projects, collaborate with experts in various fields, and often rotate between teams to broaden their experience. This dynamic environment supports both vertical advancement and the chance to develop broader technical expertise over time.

Can a BSc computer science student get a job in Google?

A BSc computer science student can potentially get a job at Google, especially for entry-level roles such as software engineering internships or associate positions. Strong programming skills, proficiency in languages like Python or Java, and good problem-solving abilities are important, along with relevant projects or coursework. Google often looks for candidates with solid technical foundations and the ability to learn quickly.

What is a Computer Science Google job?

A Computer Science job at Google typically involves developing, testing, and optimizing software, algorithms, or systems that power Google’s products and services. Roles may include Software Engineer, Machine Learning Engineer, Site Reliability Engineer, and more. Employees work on large-scale computing challenges, AI advancements, and performance improvements. Strong programming skills, problem-solving abilities, and experience with data structures and algorithms are crucial for these roles.

Does Google hire computer scientists?

Yes, Google hires computer scientists for roles in software engineering, research, and development. These positions often require strong programming skills, knowledge of algorithms, and experience with tools like Python, C++, or Java. Google offers opportunities for both entry-level and experienced computer scientists in various teams and projects.

What Engineer makes $500,000 a year?

Senior software engineers, especially those working at large tech companies or in specialized fields like machine learning or cloud computing, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and often leadership roles or equity compensation.

What are the key skills and qualifications needed to thrive in the Computer Science Google position, and why are they important?

To excel in a Computer Science role at Google, candidates typically need strong programming skills, a solid understanding of algorithms and data structures, and a degree in Computer Science or a related field. Familiarity with languages like Python, Java, or C++, and experience using version control systems, cloud platforms, and technical certifications such as Google Cloud Certification are often advantageous. Excellent problem-solving abilities, effective teamwork, and strong communication skills distinguish outstanding candidates in this role. These qualifications are essential to tackling complex technical challenges, collaborating across diverse teams, and driving innovation at a leading technology company.

Infographic showing various Computer Science Google job openings in Baltimore, MD as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $47,991 per year, or $23.1 per hour.
Cloud Architect

Cloud Architect

Astor & Sanders

Silver Spring, MD • On-site

$130K - $145K/yr

Other

Medical, Life, Retirement, PTO

Posted yesterday


Job description

Systems Integration & Developer (SID) is an award-winning IT solutions provider headquartered in Rockville, MD seeking a Cloud Architect. This is a full-time and hybrid position.

Roles & Responsibilities

  • Design and develop cloud architecture strategies to support scientific applications, large-scale data processing, and mission-aligned workflows.
  • Lead the migration of legacy and modern systems to hybrid and multi-cloud environments (AWS, Azure, OCI, GCP).
  • Architect secure, scalable, and resilient platforms optimized for research-to-operations (R2O) and high-throughput workloads.
  • Collaborate with scientific development, DevOps, cybersecurity, and mission stakeholders to deliver end-to-end cloud solutions.
  • Establish and enforce cloud governance, including cost controls, data compliance, and security best practices for scientific data systems.
  • Develop and maintain architecture documentation, diagrams, and reusable patterns to support scalable, cloud-native modernization.
  • Troubleshoot cloud infrastructure issues, optimize performance, and implement automation for system reliability and observability.
  • Stay informed on emerging cloud technologies and NOAA-relevant standards (e.g., cloud portability, FAIR data principles, etc.).

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • 5+ years of experience in IT, with at least 2 years in a cloud architecture or engineering role.
  • Proven experience with at least one major cloud provider (e.g., AWS, Azure, Google Cloud, or Oracle Cloud Infrastructure).
  • Hands-on experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation) in support of automated, scalable deployments.
  • Strong understanding of cloud networking, security, identity management, and storage services in hybrid or multi-cloud environments.
  • Proficiency in scripting or programming (e.g., Python, Bash, PowerShell) for automation and orchestration.
  • Familiarity with CI/CD pipelines and DevSecOps principles, particularly for data-driven or scientific systems.

Preferred Qualifications

  • Cloud certifications such as AWS Certified Solutions Architect (Associate or Professional), Microsoft Certified: Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect, or OCI Architect Associate/Professional..
  • Experience supporting scientific, research, or mission-critical applications in federal or environmental agencies.
  • Knowledge of containerization and orchestration (e.g., Docker, Kubernetes) for scalable application design.
  • Familiarity with scientific data lifecycle challenges, including ingest, storage, processing, and dissemination.
  • Experience integrating observability tools, cost management, and compliance into cloud-native environments.
  • Strong communication and stakeholder engagement skills, including the ability to explain technical concepts to non-technical users.

The range of annual salary for full-time employees for this position is below. Please note that pay offered is based on factors such as (but not limited to) scope and responsibilities of position, candidate's work experience and skillset, and location.

Annual Salary Range:

$130,000-$145,000

Benefits

Systems Integration & Development (SID) offers a unique, stimulating and challenging environment that fosters individual growth and rewards performance. Systems Integration & Development (SID) is an Equal Opportunity Employer. 

Some of our competitive benefits include

  • Generous Paid Time Off (PTO) and all Federal Holidays off
  • Comprehensive Health Coverage
  • Retirement Savings Plan
  • Pre-Tax Benefit Programs
  • Wellness and Work-Life Support
  • Professional Development
  • Performance and Referral Bonuses
  • Life and Disability Insurance