AWS Cloud Infrastructure Engineer

The Cloud Infrastructure Engineer is an experienced individual contributor responsible for designing, implementing, and operating secure, scalable, and highly available AWS infrastructure supporting a production-grade, multi-account B2B SaaS platform in the financial services industry. 

This role is critical to maintaining platform resilience, security, automation maturity, and operational excellence across production and non-production environments. The engineer operates with moderate autonomy, owning defined areas of the AWS environment while contributing to infrastructure standards, reliability engineering, and security best practices. 

Responsibilities 

 
• Design, build, and maintain AWS infrastructure across production and non-production environments 

• • Support application deployments and underlying platform services required for reliable operation 

• • Implement and manage infrastructure using Infrastructure as Code (Terraform) 

• • Configure and maintain AWS services including compute, storage, networking, and managed services 

• • Monitor infrastructure health, availability, and performance; respond to incidents and perform root cause analysis 

• • Partner with application engineering and security teams to support system reliability and scalability 

• • Implement and maintain backup, disaster recovery, and high-availability solutions 

• • Support automation related to infrastructure provisioning and application deployments 

• • Manage IAM roles, permissions, and access controls in alignment with security policies 

• • Contribute to cloud cost monitoring and optimization efforts 

• • Maintain documentation, runbooks, and operational procedures 

• • Participate in on-call or incident response rotations as required 

 

Core AWS & Cloud Technologies 

Compute & Containers 

• • Amazon ECS (Elastic Container Service) 

• • Amazon EC2 

• • Amazon ECR (Elastic Container Registry) 

• • AWS Lambda (event-driven workloads) 

Networking & Edge 

• • Amazon VPC (multi-AZ design, subnet segmentation) 

• • Internet Gateway (IGW) 

• • VPC Peering 

• • Elastic Load Balancing (ALB) 

• • AWS WAF 

• • Amazon Route 53 

• • AWS Data Transfer optimization 

Databases & Caching 

• • Amazon RDS (PostgreSQL) and PSQL 

• • Amazon DocumentDB (MongoDB compatibility) 

• • Amazon ElastiCache (Redis) 

Messaging & Streaming 

• • Amazon MSK (Managed Streaming for Apache Kafka) 

Security & Compliance 

• • AWS IAM 

• • AWS KMS 

• • AWS Secrets Manager 

• • AWS Config 

• • AWS CloudTrail 

• • Amazon GuardDuty 

• • Amazon Inspector 

• • AWS WAF 

• • Auth0 

Monitoring & Observability 

• • Amazon CloudWatch (metrics, logs, alarms, events) 

CI/CD & DevOps 

• • CircleCI 

• • BitBucket 

• • Github 

• • Infrastructure as Code (Terraform) 

Storage & Data Lifecycle 

• • Amazon S3 

• • Amazon S3 Glacier Deep Archive 

Managed Platform Services 

• • AWS Transfer Family 

• • Amazon WorkSpaces (administrative environments)  

Skills and Experience

• • Strong hands-on experience operating production AWS environments in a multi-account architecture. 

• • Deep experience with containerized platforms (ECS) and distributed system design. 

• • Proven experience managing relational and document databases in high-availability configurations. 

• • Strong understanding of secure VPC architecture, ingress/egress control, and network isolation strategies. 

• • Experience operating Kafka-based streaming architectures (MSK). 

• • Expertise implementing infrastructure as code using Terraform. 

• • Experience building and maintaining CI/CD pipelines for containerized workloads. 

• • Strong knowledge of IAM design, encryption practices, and secrets management. 

• • Experience implementing monitoring, alerting, and log aggregation for production systems. 

• • Ability to troubleshoot performance, networking, scaling, and availability issues across distributed systems. 

• • Experience supporting regulated or compliance-sensitive environments (e.g., financial services). 

• • Demonstrated ability to leverage AI-assisted development tools (e.g., Cursor, ChatGPT) to accelerate infrastructure automation, troubleshooting, documentation, and code development while maintaining security and compliance standards. 

• • Strong judgment in the responsible use of AI tools to enhance productivity, improve code quality, and streamline operational workflows within regulated environments. 

• • Strong collaboration, documentation, and communication skills. 

Minimum Qualifications

• • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience. 

• • 4–6 years of experience in cloud infrastructure, platform engineering, or systems engineering roles. 

• • AWS certification (e.g., AWS Certified Solutions Architect – Associate, SysOps Administrator, or equivalent) preferred. 

Integrity and Ethics 

• • All StarCompliance employees are expected to commit to a high standard of personal integrity and carry out their responsibilities in an ethical manner