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Platform Engineer Jobs in Connecticut (NOW HIRING)

Azure/Databricks Infrastructure Engineer

Stamford, CT · On-site

$59.50 - $79.50/hr

This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance. This role supports ...

Azure/Databricks Infrastructure Engineer

Hartford, CT · On-site

$56.25 - $75.25/hr

This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance. This role supports ...

GCP Data Engineer

Hartford, CT · Hybrid

$115K - $138K/yr

This is an opportunity to influence the future of enterprise data platforms while expanding your expertise in cloud engineering, metadata management, governance, and AI-enabled development. This role ...

Showing results 41-60

Platform Engineer information

See Connecticut salary details

$31

$60

$90

How much do platform engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for platform engineer in Connecticut is $60.84, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $70.19 per hour, depending on experience, location, and employer.

What is a platform engineer?

A platform engineer writes code that bridges the gap between software and hardware and tests the system so that it runs effectively and smoothly. In this career, you are a vital part of the software and hardware industries. You run diagnostics tests to verify the correct design of hardware, which usually means writing code for manufacturing diagnostics so that the testing of the hardware takes place automatically. The qualifications needed for a career as a platform engineer include a bachelor’s degree in computer science or an associate’s degree and relevant work experience.

What are the key skills and qualifications needed to thrive as a platform engineer, and why are they important?

To thrive as a Platform Engineer, you need a solid background in computer science, systems architecture, and cloud infrastructure, often supported by a relevant degree or equivalent experience. Familiarity with containerization tools (like Docker and Kubernetes), infrastructure-as-code platforms (such as Terraform), and cloud services (AWS, Azure, or GCP) is typically required, along with relevant certifications. Strong problem-solving skills, collaboration, and effective communication help Platform Engineers drive reliability and innovation within technical teams. These competencies are crucial for building scalable, secure, and efficient platforms that support an organization's technology needs.

How does a platform engineer typically collaborate with development and operations teams?

Platform Engineers work closely with both development and operations teams to design, build, and maintain scalable infrastructure and deployment pipelines. They often serve as a bridge, ensuring that applications can be deployed reliably and efficiently while meeting the requirements of both teams. Regular communication is key, as Platform Engineers gather feedback from developers about tooling needs and coordinate with operations to uphold system stability and security. This collaborative environment fosters automation, streamlines workflows, and supports continuous delivery practices.

What is the difference between Platform Engineer vs DevOps Engineer?

AspectPlatform EngineerDevOps Engineer
CredentialsBachelor's in CS or related field, often cloud certificationsBachelor's in CS, DevOps certifications (e.g., Docker, Kubernetes)
Work EnvironmentDesigning and building platform infrastructure, working with cloud servicesAutomating deployment, CI/CD pipelines, and system operations
Industry UsageTech companies, cloud providers, SaaS firmsSoftware development, IT operations, cloud services

Platform Engineers focus on creating and maintaining the underlying infrastructure and platforms, while DevOps Engineers streamline development and deployment processes through automation. Both roles collaborate closely but have distinct focuses within the software development lifecycle.

Do platform engineers make good money?

Platform engineers typically earn competitive salaries that vary based on experience, location, and industry. They often have skills in cloud computing, automation, and scripting, which can lead to higher compensation levels compared to other engineering roles.

What will a platform engineer do?

A platform engineer designs, builds, and maintains the underlying infrastructure and tools that support software development and deployment. They work with cloud services, automation, and scripting to ensure scalable, reliable, and efficient systems, often using technologies like Kubernetes, Docker, and CI/CD pipelines.

What are the most commonly searched types of Platform Engineer jobs in Connecticut?

The most popular types of Platform Engineer jobs in Connecticut are:

What are popular job titles related to Platform Engineer jobs in Connecticut?

For Platform Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Platform Engineer jobs in Connecticut look for?

The top searched job categories for Platform Engineer jobs in Connecticut are:

Infographic showing various Platform Engineer job openings in Connecticut as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 100% In-person job distribution, with an average salary of $126,546 per year, or $60.8 per hour.

Senior AI Platform Architect -- Remote (Guilford)

ThermoFisher Scientific

Guilford, CT • On-site

$131K - $179K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Thermo Fisher Scientific, Remote US (east coast preferred), seeks a Senior Director, AI Platform Architecture to define and scale the AI platform, enabling rapid development and deployment of AI-enabled products across CRG. You will lead a team of AI platform engineers, establish governance, and drive reusable capabilities across the enterprise.

Reporting to the VP, Head of Analytics and AI, you will partner with Data Platforms, Digital Engineering, and product teams to ensure secure,

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