Suffolk Construction
Senior AWS DevOps Engineer – AI Platform Enablement
Suffolk Construction, Boston, Massachusetts, us, 02298
Senior AWS DevOps Engineer – AI Platform Enablement
Suffolk Construction
– a national enterprise building innovative construction and technologies. About Suffolk
Suffolk is an end‑to‑end business that provides value throughout the entire project lifecycle, leveraging core construction management services and vertical lines including real estate investment, design, construction services, technology start‑up investment, and innovation research & development. The company has $5 B in revenue, 2,600 employees, and offices nationwide. Role Overview
We are seeking a seasoned AWS DevOps Engineer to join our growing AI Platform team, responsible for building and operating the next‑generation Agentic AI infrastructure that powers intelligent automation across the enterprise. This role establishes the DevOps, security, and compliance foundations for our AWS‑based AI platform, working with AI Studio engineering and Enterprise IT to ensure governance, reliability, and speed of innovation. Responsibilities
Design, implement, and maintain AWS infrastructure supporting AI development, model orchestration, and agentic systems (e.g., Bedrock, Lambda, ECS/EKS, API Gateway). Build and manage CI/CD pipelines for AI and data applications using AWS CDK, CloudFormation, CodePipeline, or Terraform. Implement security guardrails and compliance controls (IAM, KMS, network segmentation, audit logging) aligned with IT standards. Partner with IT security and cloud teams to ensure adherence to cybersecurity insurance and data governance requirements. Manage monitoring, observability, and cost‑optimization for AI workloads (CloudWatch, X‑Ray, Config, Trusted Advisor). Enable rapid development cycles by streamlining environment provisioning, model deployment, and access management. Bridge AI Engineering and IT, building mutual trust through transparency, security‑oriented automation, and operational excellence. Document and evangelize best practices in DevSecOps, infrastructure as code, and model lifecycle management. Required Qualifications
7+ years of DevOps / Cloud Engineering experience, with 4+ years on AWS in production environments. Proven expertise with AWS services: VPC, IAM, Lambda, ECS/EKS, API Gateway, CloudFront, S3, CloudWatch, CloudFormation/CDK, KMS, Cognito, Secrets Manager. Experience managing CI/CD pipelines (CodePipeline, GitHub Actions, or Jenkins). Strong understanding of networking, identity federation (Azure AD / Okta), and data security. Familiarity with AI/ML workflows (SageMaker, Bedrock, Databricks, or similar). Hands‑on experience implementing security guardrails and compliance controls in AWS. Proficiency with Terraform or CDK for Infrastructure as Code. Excellent communication and collaboration skills, able to explain technical decisions to IT, security, and data teams. Preferred Qualifications
Prior experience supporting AI or data platform teams. Exposure to multi‑agent systems, Bedrock AgentCore, LangChain, or similar frameworks. Background in hybrid enterprise environments (AWS + Azure). AWS certifications (Solutions Architect, DevOps Engineer, Security Specialty). Success Indicators
AI development team can deploy and operate independently within compliant AWS guardrails. IT leadership gains confidence in the AI team’s DevOps maturity and control mechanisms. Infrastructure and pipelines are fully automated, observable, and secure without bottlenecks. Salary & Benefits
Competitive salary, auto allowances, health and vision benefits, virtual care, paid time off, 401(k) with match, life insurance, tax‑deferred savings, commuter benefits, and more. Working Conditions
Work primarily in an office environment; requires sitting for long periods, using keyboard and telephone, standing and walking as needed, and includes job site walking. EEO Statement
Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees.
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Suffolk Construction
– a national enterprise building innovative construction and technologies. About Suffolk
Suffolk is an end‑to‑end business that provides value throughout the entire project lifecycle, leveraging core construction management services and vertical lines including real estate investment, design, construction services, technology start‑up investment, and innovation research & development. The company has $5 B in revenue, 2,600 employees, and offices nationwide. Role Overview
We are seeking a seasoned AWS DevOps Engineer to join our growing AI Platform team, responsible for building and operating the next‑generation Agentic AI infrastructure that powers intelligent automation across the enterprise. This role establishes the DevOps, security, and compliance foundations for our AWS‑based AI platform, working with AI Studio engineering and Enterprise IT to ensure governance, reliability, and speed of innovation. Responsibilities
Design, implement, and maintain AWS infrastructure supporting AI development, model orchestration, and agentic systems (e.g., Bedrock, Lambda, ECS/EKS, API Gateway). Build and manage CI/CD pipelines for AI and data applications using AWS CDK, CloudFormation, CodePipeline, or Terraform. Implement security guardrails and compliance controls (IAM, KMS, network segmentation, audit logging) aligned with IT standards. Partner with IT security and cloud teams to ensure adherence to cybersecurity insurance and data governance requirements. Manage monitoring, observability, and cost‑optimization for AI workloads (CloudWatch, X‑Ray, Config, Trusted Advisor). Enable rapid development cycles by streamlining environment provisioning, model deployment, and access management. Bridge AI Engineering and IT, building mutual trust through transparency, security‑oriented automation, and operational excellence. Document and evangelize best practices in DevSecOps, infrastructure as code, and model lifecycle management. Required Qualifications
7+ years of DevOps / Cloud Engineering experience, with 4+ years on AWS in production environments. Proven expertise with AWS services: VPC, IAM, Lambda, ECS/EKS, API Gateway, CloudFront, S3, CloudWatch, CloudFormation/CDK, KMS, Cognito, Secrets Manager. Experience managing CI/CD pipelines (CodePipeline, GitHub Actions, or Jenkins). Strong understanding of networking, identity federation (Azure AD / Okta), and data security. Familiarity with AI/ML workflows (SageMaker, Bedrock, Databricks, or similar). Hands‑on experience implementing security guardrails and compliance controls in AWS. Proficiency with Terraform or CDK for Infrastructure as Code. Excellent communication and collaboration skills, able to explain technical decisions to IT, security, and data teams. Preferred Qualifications
Prior experience supporting AI or data platform teams. Exposure to multi‑agent systems, Bedrock AgentCore, LangChain, or similar frameworks. Background in hybrid enterprise environments (AWS + Azure). AWS certifications (Solutions Architect, DevOps Engineer, Security Specialty). Success Indicators
AI development team can deploy and operate independently within compliant AWS guardrails. IT leadership gains confidence in the AI team’s DevOps maturity and control mechanisms. Infrastructure and pipelines are fully automated, observable, and secure without bottlenecks. Salary & Benefits
Competitive salary, auto allowances, health and vision benefits, virtual care, paid time off, 401(k) with match, life insurance, tax‑deferred savings, commuter benefits, and more. Working Conditions
Work primarily in an office environment; requires sitting for long periods, using keyboard and telephone, standing and walking as needed, and includes job site walking. EEO Statement
Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees.
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