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Google Software Engineer Internship Jobs in Springfield, MA

Danaher

Software Automation Internships

Hartford, CT · On-site

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... internship start * Experience with hands-on lab testing and technical documentation (e.g., lab ...

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All JobsGoogle Software Engineer JobsGoogle Software Engineer Internship JobsGoogle Software Engineer Internship Jobs in Springfield, MA

Google Software Engineer Internship information

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$38

How much do google software engineer internship jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for google software engineer internship in Springfield, MA is $25.33, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $28.75 per hour, depending on experience, location, and employer.

What is a Google software engineer internship?

A Google Software Engineer Internship is a temporary, paid position for students or recent graduates to work on real-world projects alongside experienced engineers at Google. Interns participate in software development, coding, and problem-solving tasks that contribute to Google's products and services. The internship is designed to provide hands-on experience, mentorship, and professional growth opportunities in a fast-paced, innovative environment. Applicants typically need to be pursuing a degree in computer science or a related technical field and demonstrate strong programming skills. The program usually lasts 12-14 weeks and is available in various locations worldwide.

What are the key skills and qualifications needed to thrive as a Google software engineer intern?

To thrive as a Google Software Engineer Intern, you need strong programming fundamentals, problem-solving abilities, and coursework or experience in computer science, often supported by enrollment in a related degree program. Familiarity with languages like Python, Java, or C++, and exposure to development tools, version control systems, and algorithms is typically expected. Initiative, willingness to learn, effective teamwork, and clear communication are valuable soft skills for excelling in this collaborative and fast-paced environment. These skills and qualities are crucial for contributing to projects, adapting to Google's work culture, and maximizing your learning experience during the internship.

What types of projects do Google software engineer interns typically work on, and how are these projects structured?

Google Software Engineer Interns are usually assigned to real-world projects that are integral to the teams they join. Projects often involve coding, debugging, and collaborating with full-time engineers to develop or improve products and features. Interns are given substantial responsibility, but also receive mentorship and regular feedback from their host and team members. Projects are structured to both challenge interns and help them grow their technical and problem-solving skills, while contributing meaningful results to Google's products or infrastructure.

What is the difference between Google Software Engineer Internship vs Google Software Engineer?

AspectGoogle Software Engineer InternshipGoogle Software Engineer
Required CredentialsCurrently enrolled in a Bachelor’s, Master’s, or PhD program; relevant courseworkBachelor’s degree in Computer Science or related field; relevant experience or internships
Work EnvironmentTemporary, project-based, mentored experience during summer or semesterFull-time, ongoing employment with team responsibilities
Employer & Industry UsageInternship program at Google, industry standard for tech internshipsFull-time role at Google, core software development position

The Google Software Engineer Internship is a temporary program designed for students to gain industry experience, while the Google Software Engineer role is a permanent position focused on ongoing software development. Internships often serve as a pathway to full-time employment, with interns gaining valuable skills and networking opportunities. Both roles require strong technical skills, but internships typically have more flexible credentials and are aimed at students seeking industry exposure.

How to get a Google Software Engineer Internship?

To secure a Google Software Engineer Internship, candidates should have strong programming skills in languages like Java, C++, or Python, and demonstrate proficiency in algorithms and data structures. Applicants typically need to submit a competitive application through Google's careers portal, including a resume highlighting relevant projects and experience, and may undergo technical interviews assessing coding ability and problem-solving skills.

Is it hard to get a Google Software Engineer Internship?

Securing a Google Software Engineer Internship is competitive due to high applicant volume and rigorous selection criteria. Candidates typically need strong coding skills, proficiency in algorithms and data structures, and relevant project or internship experience. The process often involves multiple interviews assessing technical knowledge and problem-solving ability.

What are popular job titles related to Google Software Engineer Internship jobs in Springfield, MA?

For Google Software Engineer Internship jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Google Software Engineer Internship jobs in Springfield, MA look for?

The top searched job categories for Google Software Engineer Internship jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Google Software Engineer Internship jobs?

Cities near Springfield, MA with the most Google Software Engineer Internship job openings:

Google Software Engineer Internship jobs near you
Infographic showing various Google Software Engineer Internship job openings in Springfield, MA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $52,682 per year, or $25.3 per hour.

Senior Software Development Engineer - Microservices

Hartford, CT

CVS Health
Health Care and Social Assistance • 10K+ employees
Learn more about CVS Healthexternal

$92K - $203K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago

Key responsibilities

  • Provide technical leadership for the design, development, modernization, and support of critical applications supporting Prior Authorization Operations.

  • Build and maintain scalable, cloud-native solutions that enable workflow automation, AI-driven decisioning, and business process optimization.

  • Collaborate with Data Engineering, Data Science, Product, and Business teams to deliver highly available, secure, and scalable applications.

CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,372 frontline employees who took The Breakroom Quiz

91st of 113 rated pharmacies

Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary

The Senior Software Engineer / Technical Lead (AI & Automation) will provide technical leadership for the design, development, modernization, and support of critical applications supporting Prior Authorization Operations (PAOps) under PBM line of business. This role will be responsible for building and maintaining scalable, cloud-native solutions that enable intelligent workflow automation, AI-driven decisioning, document processing, and business process optimization.

The ideal candidate is a hands-on technical leader with strong software engineering and cloud architecture expertise, coupled with practical experience implementing Generative AI, Agentic AI, and Large Language Model (LLM) solutions in production environments. This individual will collaborate closely with Data Engineering, Data Science, Product, and Business teams to deliver highly available, secure, and scalable applications while driving innovation through AI-powered solutions.

Key areas of focus include:

  • Application architecture, development, and production support
  • Cloud-native engineering and platform modernization
  • Microservices and distributed systems
  • AI/GenAI, Agentic AI, and LLM-based solutions
  • Event-driven and streaming architectures
  • Engineering best practices, mentoring, and technical leadership


Required Qualifications

  • 5+ years of software engineering experience, including designing and supporting enterprise-scale applications.
  • 2+ years of experience serving as a Technical Lead, Sr Engineer, or equivalent technical leadership role.
  • Strong expertise in Python application development and modern API frameworks such as FastAPI, Flask, or similar technologies.
  • Experience designing and implementing microservices, distributed systems, and RESTful APIs.
  • Strong experience with Google Cloud Platform (GCP) and cloud-native application development.
  • Hands-on experience with:
    • Kubernetes (GKE)
    • Docker/Containerization
    • CI/CD pipelines and DevOps practices
    • GitHub and modern source control practices
  • Experience developing and supporting event-driven and streaming solutions using technologies such as Kafka or similar messaging platforms.
  • Experience working with cloud-native data technologies including BigQuery, BigTable, SQL, and large-scale data processing solutions.
  • Strong understanding of software architecture, design patterns, system reliability, performance optimization, and observability.
  • Hands-on experience implementing and operationalizing:
    • Generative AI solutions
    • Large Language Models (LLMs)
    • Retrieval-Augmented Generation (RAG)
    • AI Agents and Agentic AI workflows
    • Prompt engineering and model evaluation frameworks
  • Experience integrating enterprise applications with AI platforms such as Gemini, Vertex AI, OpenAI, Claude, or similar technologies.
  • Strong analytical, troubleshooting, and production support skills.
  • Excellent communication, collaboration, and stakeholder management skills.


Preferred Qualifications

  • Experience in healthcare, pharmacy benefit management (PBM), utilization management, or prior authorization operations.
  • Experience building AI-powered workflow automation and decision-support systems.
  • Experience deploying and managing AI applications within regulated environments.
  • Familiarity with MLOps, AI governance, model monitoring, and responsible AI practices.
  • Experience with cloud migration and modernization initiatives.
  • Experience leading architecture reviews, mentoring engineers, and driving engineering best practices across teams.
  • Exposure to document intelligence, OCR, intelligent automation, and business process automation platforms.
  • Experience with healthcare data standards, secure data processing, and compliance requirements.


Education

  • Master's Degree preferred in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
  • Relevant industry certifications in Cloud Computing, Kubernetes, AI/ML, or Software Architecture (e.g., Google Cloud Professional certifications, Kubernetes certifications, AI/ML certifications).

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$92,700.00 - $203,940.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 10/30/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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