AWS Cloud Engineer

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting‑edge technologies to create scalable, secure, and user‑friendly applications.

We are looking for an experienced AWS Cloud Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.

Design, build, and operate large‑scale, secure, and highly available cloud platforms on Amazon Web Services. This hands‑on engineering role spans architecture, infrastructure‑as‑code, automation, security, observability, and continuous operational improvement of mission‑critical production workloads.

• Architect, deploy, and operate enterprise‑grade AWS environments across compute, networking, storage, identity, and managed data services, with strong attention to scalability, reliability, and security.
• Author and maintain production‑quality infrastructure‑as‑code using Terraform, AWS Cloud Formation, or AWS CDK, with rigorous version control, peer review, and automated validation.
• Design multi‑account AWS organizations, including landing zones, SCPs, centralized logging, and shared services, to support secure and scalable enterprise adoption.
• Build secure VPC topologies—including subnetting, route tables, transit gateways, VPN, and Direct Connect integrations—to meet enterprise connectivity and isolation requirements.
• Implement strong IAM strategies using roles, permission boundaries, SCPs, AWS SSO, and short‑lived credentials to enforce least‑privilege access across the organization.
• Design, deploy, and operate Amazon EKS clusters and other container platforms (ECS, Fargate), including auto‑scaling, networking, and integration with service meshes and observability stacks.
• Operate AWS managed data and analytics services such as RDS, Aurora, Dynamo
  
  DB, S3, Redshift, Glue, and Kinesis, optimizing each for the access patterns and SLAs of the workloads it supports.
• Build and maintain robust CI/CD pipelines using AWS Code Pipeline, Code Build, Jenkins, Git Hub Actions, or Git Lab CI, enabling repeatable, audited deployments of both infrastructure and applications.
• Implement comprehensive observability using Cloud Watch, X‑Ray, AWS Distro for Open Telemetry, Prometheus, Grafana, and third‑party tooling, with well‑designed dashboards, alerts, and SLOs.
• Drive ongoing cost optimization through right‑sizing, savings plans, reserved instances, lifecycle policies, and architectural simplification, with measurable savings tracked over time.
• Implement disaster‑recovery and business‑continuity capabilities, including cross‑region replication, automated backups, regular failover testing, and documented runbooks.
• Strengthen security posture using AWS Security Hub, Guard Duty, Macie, Inspector, Config, and Cloud Trail, and lead remediation of findings in collaboration with security teams.
• Advise application development teams on AWS‑native design patterns, anti‑patterns, and the appropriate service choices for each problem domain.
• Develop automation scripts and operational tooling in Python, Bash, and Go to streamline routine work and accelerate incident response.
• Mentor junior engineers, lead architecture and design reviews, and contribute thought leadership to the broader cloud community within the organization.

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• Five or more years of cloud engineering experience, with at least three years focused on AWS in production environments.
• Strong hands‑on experience with AWS core services, including EC2, VPC, IAM, S3, RDS, Lambda, Cloud Front, and Cloud Formation.
• Production‑grade experience with infrastructure‑as‑code tools such as Terraform, AWS CDK, or Cloud Formation.
• Solid experience designing and operating Amazon EKS or ECS clusters at scale.
• Hands‑on experience with CI/CD pipelines across infrastructure and application workloads.
• Strong scripting skills in Python and Bash, with familiarity in Go or Power Shell considered a plus.
• Deep understanding of cloud…