🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Role Description Position Overview We are looking for a highly skilled Infrastructure Engineer with strong expertise in AWS Cloud Infrastructure, Platform Engineering, DevOps, Cloud Security, and Infrastructure Automation . The ideal candidate will be responsible for designing, implementing, securing, and optimizing highly available, scalable, and cloud-native infrastructure on AWS. This role will play a key part in building secure enterprise platforms supporting modern cloud applications, containerized workloads, and next-generation AI/GenAI services powered by Amazon Bedrock and AWS AgentCore . You will collaborate closely with Platform Engineering, DevOps, Security, Architecture, and Application teams to deliver resilient, compliant, and automated cloud environments aligned with enterprise standards. Key Responsibilities 1. AWS Cloud Infrastructure & Networking Design, implement, and manage scalable AWS infrastructure following Well-Architected Framework best practices. Configure and maintain AWS networking services including: Amazon VPC Public & Private Subnets Route Tables Security Groups Network ACLs Internet Gateway NAT Gateway AWS Transit Gateway VPC Endpoints / AWS PrivateLink Amazon Route 53 Application & Network Load Balancers (ALB/NLB) AWS WAF Amazon CloudFront Build highly available, fault-tolerant, and disaster recovery-ready cloud environments. Optimize network performance, security, and connectivity across multi-account AWS environments. Infrastructure as Code (IaC) & Automation Develop reusable Infrastructure-as-Code modules using: Terraform AWS CDK AWS CloudFormation Automate infrastructure provisioning and lifecycle management. Implement infrastructure versioning, modularization, and reusable deployment patterns. Enforce governance through Policy-as-Code and automated compliance validation. Platform Engineering & Container Services Deploy and manage cloud-native applications using: Kubernetes Amazon EKS Amazon ECS/Fargate Docker Build scalable and secure container platforms. Support application modernization initiatives and cloud-native platform adoption. Improve platform reliability, scalability, and operational efficiency. AI / GenAI Infrastructure Provision and manage secure infrastructure supporting: Amazon Bedrock AWS AgentCore Design secure networking and access controls for AI workloads. Implement monitoring, logging, and operational controls for AI platform services. Collaborate with AI engineering teams to deliver scalable GenAI infrastructure. Cloud Security & Compliance Design and implement AWS cloud security best practices. Configure and manage: AWS IAM AWS KMS AWS Secrets Manager Implement enterprise-grade security controls including: Mutual TLS (mTLS) OAuth 2.0 / OpenID Connect (OIDC) API Security Rate Limiting PHI Data Protection & Tokenization Ensure cloud infrastructure complies with organizational security standards and regulatory requirements. Observability & Reliability Engineering Implement enterprise observability using: Amazon CloudWatch OpenTelemetry Develop dashboards, s, and operational runbooks. Perform production troubleshooting, root cause analysis (RCA), and incident remediation. Improve platform reliability through proactive monitoring and automation. FinOps & Cloud Cost Optimization Monitor cloud resource utilization and infrastructure spend. Recommend and implement cost optimization strategies. Support cloud budgeting, forecasting, and governance initiatives. Optimize compute, storage, networking, and managed service costs without compromising performance. DevOps & Collaboration Maintain Infrastructure-as-Code repositories using Git/GitHub. Integrate infrastructure deployments into CI/CD pipelines. Collaborate with Security, DevOps, SRE, Platform Engineering, and Application teams to deliver secure and automated cloud solutions. Promote DevSecOps best practices across engineering teams. Required Technical Skills AWS Cloud Services Amazon VPC Route 53 Transit Gateway AWS PrivateLink ALB / NLB AWS WAF CloudFront IAM AWS KMS AWS Secrets Manager Amazon Bedrock AWS AgentCore Infrastructure as Code Terraform AWS CDK AWS CloudFormation Containers & Platform Engineering Kubernetes Amazon EKS Amazon ECS/Fargate Docker Monitoring & Observability Amazon CloudWatch OpenTelemetry Security IAM mTLS OAuth 2.0 / OIDC API Security Rate Limiting PHI Tokenization Encryption & Key Management DevOps Git GitHub CI/CD Pipelines Infrastructure Automation Cloud Operations Incident Management Root Cause Analysis Reliability Engineering Disaster Recovery High Availability FinOps / Cloud Cost Optimization Preferred Qualifications Experience supporting Healthcare, Life Sciences, or other regulated industries. Good understanding of HIPAA, HITRUST, and cloud compliance frameworks. Hands-on experience with Amazon Bedrock, GenAI, and AI platform infrastructure. Exposure to Platform Engineering, Site Reliability Engineering (SRE), and DevSecOps practices. Experience implementing Policy-as-Code, cloud governance, and security automation. AWS certifications such as AWS Certified Solutions Architect – Associate/Professional, AWS Certified Security – Specialty, or AWS Certified DevOps Engineer – Professional are highly desirable. Required Experience 5–9 years of hands-on experience in AWS Cloud Infrastructure, Platform Engineering, DevOps, Cloud Security, and Infrastructure Automation. Proven experience designing and managing enterprise-scale AWS environments using Infrastructure as Code. Strong knowledge of container orchestration, cloud networking, cloud security, monitoring, and automation. Experience supporting mission-critical, highly available production environments with a focus on security, scalability, and operational excellence. Primary Skills AWS Terraform Kubernetes Amazon EKS Docker AWS Networking IAM Cloud Security CloudFormation AWS CDK CloudWatch OpenTelemetry Git CI/CD FinOps Amazon Bedrock AgentCore DevSecOps Platform Engineering SRE Skills Infrastructure as Code, AWS, Kubernetes, Amazon Bedrock
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.