AWS Cloud Infrastructure Engineer at StarCompliance (Leeds, United Kingdom)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.

• 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)

-

- 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 Secrets Manager

- AWS Config

- AWS CloudTrail

- Amazon GuardDuty

- Amazon Inspector

-

- 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)

- 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.

- 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