Engineer-III, DevOps

Work Schedule

• Standard (Mon-Fri)
• Environmental Conditions
• Office
• Job Description
• How Will You Make an Impact
• You will play a key role in building and evolving secure, scalable, and highly available engineering platforms that enable teams to deliver software faster and more reliably. You will also contribute to the modernization of our engineering ecosystem by identifying opportunities to reduce manual effort, optimize cloud infrastructure, improve deployment quality, and proactively address performance and reliability challenges. As a senior contributor, you will share technical expertise, influence engineering best practices, and mentor other team members while taking ownership of complex DevSeqOps initiatives.

Key Responsibilities

• Design, build, deploy, and support secure applications and infrastructure on AWS.
• Develop and maintain Infrastructure as Code using Terraform and AWS CloudFormation.
• Build reusable Terraform modules and standardized AWS infrastructure patterns.
• Design and maintain automated CI/CD pipelines for application and infrastructure deployments.
• Integrate security controls throughout CI/CD pipelines following DevSecOps practices.
• Implement SAST, SCA, secrets scanning, container scanning, IaC scanning, and vulnerability management.
• Design and implement solutions using multiple AWS services such as ECS/EKS, EC2, Lambda, S3, IAM, VPC, API Gateway, RDS/DynamoDB, CloudWatch, EventBridge, SQS, SNS, Secrets Manager, and KMS.
• Implement secure IAM policies, roles, networking, encryption, secrets management, logging, and monitoring.
• Develop and deploy Generative AI applications using Amazon Bedrock.
• Build and deploy Amazon Bedrock Agents, Knowledge Bases, Guardrails, foundation-model integrations, and supporting services.
• Own end-to-end deployment of Bedrock solutions, including infrastructure, application components, security, observability, and production support.
• Develop automation using Python/Boto3 and AWS APIs.
• Implement containerized workloads using Docker and ECS/EKS where appropriate.
• Establish monitoring, logging, alerting, and operational dashboards.
• Troubleshoot cloud infrastructure, networking, security, CI/CD, and production deployment issues.
• Work with security, development, architecture, platform engineering, and operations teams.
• Participate in architecture reviews, security reviews, release planning, and production readiness assessments.
• Create architecture documentation, deployment procedures, and operational runbooks.

Required Skills

• 8+ years of AWS, DevOps, Cloud Engineering, SRE, or DevSecOps experience.
• Strong hands-on expertise with AWS and multiple AWS services.
• Advanced experience with Terraform.
• Strong experience with AWS CloudFormation.
• Strong experience designing and implementing CI/CD pipelines.
• Hands-on experience with DevSecOps and cloud security.
• Strong understanding of AWS IAM, VPC, networking, encryption, KMS, and Secrets Manager.
• Experience with Docker and container-based deployments.
• Experience with ECS and/or EKS/Kubernetes.
• Experience with serverless architectures using Lambda and related AWS services.
• Experience with monitoring and observability using CloudWatch.
• Python/Boto3 scripting and automation experience.
• Strong Git and Linux experience.
• Demonstrated experience deploying and supporting production workloads on AWS.
• Amazon Bedrock / GenAI Experience
• Hands-on experience with Amazon Bedrock.
• Experience building and deploying Bedrock Agents.
• Experience integrating Bedrock foundation models into enterprise applications.
• Experience with Bedrock Knowledge Bases and Guardrails.
• Experience integrating Bedrock with Lambda, API Gateway, S3, IAM, databases, and other AWS services.
• Understanding of security, IAM permissions, data protection, logging, and monitoring for GenAI workloads.
• Experience taking Bedrock/GenAI applications from development through production deployment.

Preferred Skills

• AWS professional-level certification.
• Kubernetes/EKS experience.
• Experience with GitHub Actions, Jenkins, GitLab CI, or similar CI/CD platforms.
• Experience with enterprise security/compliance environments.
• Familiarity with AWS Well-Architected Framework and production resiliency practices.
• Core Skills
• AWS | DevSecOps | Terraform | CloudFormation | Amazon Bedrock | Bedrock Agents | Knowledge Bases | Guardrails | Python | Boto3 | CI/CD | Docker | Kubernetes | EKS | ECS | Lambda | API Gateway | IAM | VPC | S3 | CloudWatch | KMS | Secrets Manager

About Thermo Fisher Scientific

Qualifications

• 8+ years of AWS, DevOps, Cloud Engineering, SRE, or DevSecOps experience.
• Strong hands-on expertise with AWS and multiple AWS services.
• Advanced experience with Terraform.
• Strong experience with AWS CloudFormation.
• Strong experience designing and implementing CI/CD pipelines.
• Hands-on experience with DevSecOps and cloud security.
• Strong understanding of AWS IAM, VPC, networking, encryption, KMS, and Secrets Manager.
• Experience with Docker and container-based deployments.
• Experience with ECS and/or EKS/Kubernetes.
• Experience with serverless architectures using Lambda and related AWS services.
• Experience with monitoring and observability using CloudWatch.
• Python/Boto3 scripting and automation experience.
• Strong Git and Linux experience.
• Demonstrated experience deploying and supporting production workloads on AWS.
• Amazon Bedrock / GenAI Experience
• Hands-on experience with Amazon Bedrock.
• Experience building and deploying Bedrock Agents.
• Experience integrating Bedrock foundation models into enterprise applications.
• Experience with Bedrock Knowledge Bases and Guardrails.
• Experience integrating Bedrock with Lambda, API Gateway, S3, IAM, databases, and other AWS services.
• Understanding of security, IAM permissions, data protection, logging, and monitoring for GenAI workloads.
• Experience taking Bedrock/GenAI applications from development through production deployment.