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Platform Automation Engineer Jobs in Massachusetts

1 point system

Senior AI/Automation Engineer

Boston, MA · On-site

$113K - $148K/yr

... GenAI platforms. The ideal candidate brings hands-on experience operationalizing LLMs at scale, deep understanding of modern SDLC practices, and a strong bias toward automation, governance, and ...

Goodwin Procter LLP

Automation Engineer

Boston, MA · On-site

We are seeking a highly motivated Automation Engineer to join our Enterprise Applications team ... Build automation workflows using Microsoft Power Platform (Power Automate, Power Apps, Power BI ...

Goodwin

Automation Engineer

Boston, MA

We are seeking a highly motivated Automation Engineer to join our Enterprise Applications team ... Build automation workflows using Microsoft Power Platform (Power Automate, Power Apps, Power BI ...

Blitzy

Automation Engineer

Cambridge, MA · On-site

$90K - $145K/yr

Automation Engineer About Blitzy Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom ...

Blitzy

Automation Engineer

Cambridge, MA · On-site

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle. The Automation Engineer will own, extend, and scale automated ...

Socket.dev

Principal Automation Engineer

Lexington, MA · On-site

$159 - $243/hr

... platforms; support and lead tasks and activities related to project engineering, including large and transformational projects; serve as consulting to automation engineering and site leadership on ...

New

Vrtx

Lab Automation Engineer

Boston, MA · On-site

$85K - $128K/yr

The Lab Automation Engineer will be a part of a team dedicated to designing, implementing, and validating automation solutions, across various automation platforms (Hamilton/Biomek/etc.), with a ...

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All JobsPlatform Automation Engineer JobsPlatform Automation Engineer Jobs in Massachusetts

Platform Automation Engineer information

See Massachusetts salary details

$40.4K

$117K

$178K

How much do platform automation engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for platform automation engineer in Massachusetts is $116,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $134,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a platform automation engineer?

To thrive as a Platform Automation Engineer, you need strong programming skills (typically in Python, Bash, or similar languages), experience with infrastructure-as-code, and a solid understanding of cloud platforms, often supported by a degree in computer science or related fields. Familiarity with tools like Terraform, Ansible, Jenkins, and container orchestration systems (e.g., Kubernetes) is usually required, along with relevant cloud certifications. Excellent problem-solving abilities, collaboration, and effective communication are essential soft skills that set top candidates apart. These competencies enable efficient, reliable automation of infrastructure and deployment processes, ensuring scalability and operational excellence.

What is the difference between Platform Automation Engineer vs DevOps Engineer?

AspectPlatform Automation EngineerDevOps Engineer
CredentialsTypically requires certifications in cloud platforms, scripting, and automation toolsOften holds certifications in cloud, CI/CD, and scripting as well
Work EnvironmentFocuses on automating platform infrastructure, often within cloud or data center environmentsWorks across development and operations teams to streamline deployment and integration
Employer & IndustryUsed in cloud service providers, tech companies, and enterprises with large infrastructureCommon in software development, IT, and tech industries emphasizing continuous delivery

While both roles involve automation and cloud technologies, a Platform Automation Engineer primarily focuses on automating infrastructure and platform services, whereas a DevOps Engineer integrates development and operations processes to improve deployment and system reliability.

What are some typical challenges platform automation engineers face when integrating new automation tools into existing infrastructure?

Platform Automation Engineers often encounter challenges such as ensuring compatibility between new automation tools and legacy systems, minimizing downtime during integration, and maintaining security standards. They must also collaborate closely with development, operations, and security teams to align automation solutions with organizational workflows. Staying adaptable and proactive in solving unforeseen integration issues is key to success in this dynamic environment.

What is a platform automation engineer?

A Platform Automation Engineer is a technology professional who focuses on designing, developing, and maintaining automated systems and tools that streamline the management and deployment of software platforms. Their work often includes creating scripts, implementing infrastructure as code, automating workflows, and ensuring the reliability and scalability of IT environments. These engineers collaborate with development, operations, and QA teams to improve efficiency, reduce manual intervention, and support continuous integration and delivery pipelines.
What cities in Massachusetts are hiring for Platform Automation Engineer jobs? Cities in Massachusetts with the most Platform Automation Engineer job openings:
Platform Automation Engineer jobs near you

Senior AI/Automation Engineer

1 point system

Boston, MA • On-site

$113K - $148K/yr

Contractor

Re-posted 3 days ago

Job description

Requirement - Senior AI/Automation Engineer

Location- Boston, MA and Minneapolis, MN(4 days a week on-site)

Mode of Interview : 3 rounds, all virtual

Contract W2

We are seeking a Senior AI Automation Engineer to lead the next phase of AI-enabled SDLC maturity across Investment Technology. This role is responsible for defining, building, and scaling AI-driven automation across the software delivery lifecycle—leveraging Anthropic Cloud Code–based capabilities, agentic workflows, and enterprise-grade GenAI platforms.
The ideal candidate brings hands-on experience operationalizing LLMs at scale, deep understanding of modern SDLC practices, and a strong bias toward automation, governance, and measurable business outcomes. This role will directly influence how software is designed, built, tested, and deployed across Ameriprise.
AI-Enabled SDLC Transformation
· Define and execute a GenAI-augmented SDLC strategy, embedding AI across requirements, design, development, testing, deployment, and auditability.
· Drive spec-to-code, code-to-test, and test-to-deployment automation using LLM-powered workflows aligned to enterprise SDLC standards 1.
· Partner with Architecture, DevSecOps, Risk, and Compliance teams to ensure secure, governed, and auditable AI adoption.
Anthropic Cloud Code & Agentic Automation
· Serve as the subject matter expert for Anthropic Cloud Code capabilities, including:
o Prompt engineering standards
o Agent-based orchestration patterns
o Secure model invocation and policy enforcement
· Design and deploy agentic AI workflows to automate:
o Requirements for elaboration and decomposition
o Jira story and acceptance criteria generation
o Unit, integration, and UAT test generation
o SDLC artifact and control evidence creation
Enterprise Platform Enablement
· Integrate AI automation into existing enterprise platforms (e.g., CI/CD pipelines, SDLC tooling, cloud platforms).
· Establish reusable AI components, frameworks, and guardrails for product and engineering teams.
· Enable adoption through reference architectures, implementation patterns, and developer enablement.
Value Realization & Measurement
· Identify and quantify productivity, quality, and cycle-time improvements driven by AI.
· Define KPIs and success metrics tied to SDLC efficiency, developer experience, and risk reduction.
· Support executive visibility into AI-driven outcomes and maturity progress.
Preferred Qualifications
· Experience integrating GenAI into requirements management, testing automation, and SDLC controls.
· Familiarity with enterprise GenAI governance models, including model risk management and auditability.
· Experience working in financial services or highly regulated industries.
· Thought leadership in AI platforms, automation, or engineering productivity initiatives.
What Success Looks Like
· AI-driven automation measurably reduces SDLC cycle time and manual effort.
· Development teams consistently leverage AI-generated requirements, code, and tests within governed workflows.
· Anthropic Cloud Code capabilities are adopted as a standard, reusable enterprise platform capability.
· Ameriprise achieves a demonstrable increase in SDLC maturity, quality, and