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

Cloud Architect

Silver Spring, MD · On-site

$67.25 - $85.50/hr

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 ...

... Google, Paypal, Western Union, Bank of America, Visa, Walmart Labs etc to name a few. We have an ... Recent computer science/engineering/mathematics/statistics or science graduates looking to make ...

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 ...

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 ...

Senior Software Developer

Hanover, MD · On-site

$54.25 - $71.75/hr

... using google protobuf, rpc, or a vartion thereof. What will you do? Key Responsibilities • ... Required Qualifications TS/SCI with Poly required • Bachelor of Science in Computer Science, or ...

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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 Jun 16, 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.

What do computer scientists do at Google?

Computer scientists at Google develop algorithms, software, and systems to improve products and services, often working on areas like machine learning, data analysis, and infrastructure. They use programming languages such as Python, C++, or Java and collaborate across teams to solve complex technical problems. Their work typically involves research, coding, testing, and deploying scalable solutions in a fast-paced environment.

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.

What engineers make $500,000?

Senior software engineers, especially those in specialized fields like machine learning, AI, or cybersecurity, can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and working at large tech companies or startups with significant funding.

Can I make 200K with a computer science degree?

Computer science professionals can earn $200,000 or more annually, especially in high-demand roles such as software engineering, data science, or machine learning, often in tech hubs or with extensive experience and advanced skills. Achieving this salary typically requires several years of experience, specialized knowledge, and sometimes working in senior or managerial positions or at large tech companies.

Can I get a job at Google with a computer science degree?

A computer science degree is a common qualification for many roles at Google, including software engineering and technical positions. Candidates typically need strong programming skills, experience with algorithms, data structures, and familiarity with tools like Python, Java, or C++. Additional skills such as problem-solving, teamwork, and relevant internships can improve chances of employment.

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.

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.

What are popular job titles related to Computer Science Google jobs in Baltimore, MD? For Computer Science Google jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Computer Science Google jobs in Baltimore, MD look for? The top searched job categories for Computer Science Google jobs in Baltimore, MD are:
Cloud Architect

$67.25 - $85.50/hr

Full-time

Medical, Life, Retirement, PTO

Posted 7 days ago


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.

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