StarCompliance

AWS Cloud Infrastructure Engineer

StarCompliance · Leeds, Hybrid
Leeds, Hybrid Posted 2026-08-26
Type
Full-time
Experience
4+ yr

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)

•

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)
•

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

AWSTerraformPostgreSQLMongoDBRedisKafka
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