AWS Cloud Infrastructure Engineer

Role: 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