Engineer-III, DevOps
Thermo Fisher Scientific · On-site · Full-time · Bangalore, India
Posted (10h ago)
Apply on Thermo Fisher Scientific’s site
- Employer posted
- First seen here
- Repost check
- Same job ID since we first saw it on Oct 26, 2026. If Thermo Fisher Scientific reposts it, we keep the original posting date.
- Level
- Mid-level
- Work setup
- On-site
- Tech mentioned
- AWS, Terraform, Python, Docker, Kubernetes, Linux
- Thermo Fisher Scientific hiring
- 66 roles posted in the last 30 days
Job description
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
Thermo Fisher Scientific Inc. is the world leader in serving science, with an annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving sophisticated analytical challenges, growing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our distributed team of more than 130,000 colleagues delivers an unrivalled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.
Apply on Thermo Fisher Scientific’s site
Thermo Fisher Scientific job ID: Engineer-III--DevOps_R-01372230
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