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Remote Google Software Engineer Jobs in Wethersfield, CT

Keylent Inc

Sr Software Engineer

Middletown, CT · Remote

$124K - $164K/yr

Python Developer Location: Middle town NJ, Remote: NO JD Good Python experience with: * Develop and maintain various software products * Responsibilities include writing and testing code * Debugging ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... This engineer will work closely with other software engineers, product managers, UI/UX designers ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... This engineer will work closely with other software engineers, product managers, UI/UX designers ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... This engineer will work closely with other software engineers, product managers, UI/UX designers ...

Cardinal Health

Software Engineer

Hartford, CT · Remote

Collaborate with software vendor partners as a technical SME/liaison, understanding application ... Remote Candidates who are back-to-work, people with disabilities, without a college degree, and ...

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All JobsRemote Google Software Engineer JobsRemote Google Software Engineer Jobs in Wethersfield, CT

Remote Google Software Engineer information

See Wethersfield, CT salary details

$63.5K

$147.5K

$205.5K

How much do remote google software engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for remote google software engineer in Wethersfield, CT is $147,493.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

How does a Remote Google Software Engineer stay connected and collaborate effectively with their team?

As a Remote Google Software Engineer, maintaining strong communication is key to successful collaboration. Engineers use a variety of tools such as Google Meet, Chat, and shared documents to coordinate with teammates across different time zones. Regular stand-up meetings, code reviews, and pair programming sessions help ensure alignment and foster teamwork. Google also encourages participation in virtual team-building activities and provides resources to help remote employees feel integrated and supported.

What are the key skills and qualifications needed to thrive as a Remote Google Software Engineer, and why are they important?

To thrive as a Remote Google Software Engineer, you need strong programming skills (typically in languages like Python, Java, or C++), a solid grasp of computer science fundamentals, and a relevant degree or equivalent experience. Familiarity with version control systems like Git, cloud platforms such as Google Cloud, and internal tools or APIs is highly beneficial, as is experience with distributed systems. Excellent communication, self-motivation, and collaboration skills are crucial for remote teamwork and problem-solving. These abilities enable engineers to deliver high-quality, scalable solutions efficiently while remaining aligned and productive in a distributed work environment.

What is the difference between Remote Google Software Engineer vs Remote Amazon Software Engineer?

AspectRemote Google Software EngineerRemote Amazon Software Engineer
Required CredentialsBachelor's/Master's in CS or related field, strong coding skillsBachelor's/Master's in CS or related field, strong coding skills
Work EnvironmentCollaborative, innovative, often flexible hours, remote-friendlyFast-paced, customer-centric, remote or hybrid options
Employer & Industry UsageGoogle, tech, internet servicesAmazon, e-commerce, cloud computing
Common Search & ComparisonYesYes

Both Remote Google Software Engineers and Remote Amazon Software Engineers require similar technical credentials and work in remote, tech-driven environments. While Google emphasizes innovation and research, Amazon focuses on customer satisfaction and operational efficiency. Candidates often compare these roles to find the best fit based on industry, company culture, and career goals.

What are Remote Google Software Engineers?

Remote Google Software Engineers are software development professionals employed by Google who work from locations outside of traditional Google office spaces. They use technology to collaborate with colleagues, design and implement software solutions, and contribute to Google's products and services. Remote engineers typically participate in virtual meetings, code reviews, and agile development processes using cloud-based tools. This role allows for flexibility in work location while maintaining high standards of productivity and collaboration.
What are popular job titles related to Remote Google Software Engineer jobs in Wethersfield, CT? For Remote Google Software Engineer jobs in Wethersfield, CT, the most frequently searched job titles are:
What cities near Wethersfield, CT are hiring for Remote Google Software Engineer jobs? Cities near Wethersfield, CT with the most Remote Google Software Engineer job openings:
Remote Google Software Engineer jobs near you
AI Platform Principal Engineer (Google Cloud Platform)

AI Platform Principal Engineer (Google Cloud Platform)

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

Full-time

Posted 23 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

53rd of 261 rated insurance

Job description

Principal Software Engineer - IE06GE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford seeks energetic and passionate AI Platform Engineers to build AI Operations (AIOps, MLOps, FMOps, LLMOps) services for our AI Platform team. Our team supports data science and business teams across the enterprise, driving streamlined processes and smarter decision-making in functions like Actuarial, Product, Underwriting, and Sales. As an AI Engineer within the AI Operations organization, you will play a significant role in delivering modern and sustainable data science products generating meaningful outcomes for the enterprise.
We are looking for talent who embraces our core values:
Solution-Oriented: We build solutions, not just models, focusing on end-to-end business problems and systems design.
Trust and Transparency: We collaborate closely with partners, mindful of their capacity to absorb change.
Reliability: Our products come with full monitoring solutions to ensure they deliver as expected.
Influence through Humility: We listen carefully to our customers and become partners in problem-solving.
Practical and Evolutionary: We deliver minimally viable products first and expand their sophistication over time based on feedback.
This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise.
Responsibilities:
Develop value-added features tailored to company specific work, above and beyond the core capabilities of the cloud platform and relevant vendor tools.
Research, experiment with, and implement suitable GenAI algorithms, tools, and technologies.
Explore new services and capabilities in AWS, Google Cloud Platform, and Azure to support GenAI and ML services.
Enhance platform functionality with strong engineering expertise in AI, ML, Agentic Frameworks, and modern data technologies.
Develop and promote best practices in AI, ML, and data engineering across teams.
Architect and design end-to-end solutions at a component level.
Collaborate with partners in Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.
Manage engineering tasks, driving execution, and optimizing workflows with minimal guidance.
Provide technical mentorship and career growth opportunities for team members.
Review work of systems-level engineers to calibrate deliverables against project and business expectations.
Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, or a technical field.
  • 10+ years building and shipping software and/or platform solutions for enterprises.
  • Programming experience with Python is preferred.
  • 5+ years of experience with Terraform.
  • Experience building libraries, frameworks or platforms used across multiple teams is a plus.
  • Proven experience with Google Cloud Platform (GCP).
  • Experience with GCP BigQuery, Cloud Functions, AI Platform, API Gateway, GKE/Docker is a must.
  • Proven experience in working with other cloud providers such as AWS cloud is a plus.
  • Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools.
  • Experience with building scalable serverless applications (real-time/batch) using cloud technologies. GCP is a plus.
  • Knowledge of distributed NoSQL database systems and data engineering, ETL technology.
  • Conversational UX/UI design (chatbots) and Human-Agent-Interaction (HAI) is a plus.
  • Experience with IR, vector embedding, and Hybrid/Semantic search technologies.
  • Knowledge about customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking, HNSW, and product quantization is a plus.
  • Experience with embeddings, ANN/KNN, vector stores, database optimization, & performance tuning is a plus.
  • Experience with LLM orchestration frameworks like Langchain, LlamaIndex, LangSmith, LangGraph, Google Agent Development Kit, is a plus.
  • Experience with Generative AI Guardrails, responsible AI, adversarial attack mitigation, and red teaming is a plus.
  • Foundational understanding of Natural Language Processing and Deep Learning.
  • Excellent problem-solving skills and the ability to work in a collaborative team environment.
  • Excellent communication skills.

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$168,400 - $252,600
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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