Job Summary:
Mindlance is seeking a Cloud Engineer responsible for designing, implementing, and maintaining secure, scalable, and reliable cloud-based solutions. This role supports business objectives by optimizing cloud infrastructure, automating deployments, and ensuring compliance with security and performance standards.
Responsibilities:
โข Design and deploy cloud architectures across AWS that meet performance, security, availability, and cost-efficiency requirements for a diverse portfolio of enterprise and research applications.
โข Architect and implement cloud networking, compute, storage, and identity constructs with security built in from the outset โ applying least-privilege principles, network segmentation, encryption, and defense-in-depth across every layer.
โข Evaluate and recommend cloud services, architectural patterns, and infrastructure approaches; build evidence-based adoption cases that account for engineering capability, operational cost, and long-term platform sustainability.
โข Implement and maintain infrastructure-as-code (IaC) frameworks using Terraform, CloudFormation, Ansible, or equivalent โ making infrastructure provisioning repeatable, auditable, and developer-friendly.
โข Build and maintain CI/CD pipelines for cloud infrastructure and application deployments; ensure changes are tested, validated, and deployed safely with automated rollback capability.
โข Drive automation of operational tasks โ patching, scaling, monitoring, alerting, and cost optimization โ reducing manual intervention and improving platform reliability and response time.
โข Ensure cloud environments comply with Lilly's security standards, regulatory requirements, and data governance policies; implement and maintain controls for identity management, secrets management, audit logging, and encryption at rest and in transit.
โข Monitor cloud security posture continuously; identify and remediate misconfigurations, drift, and policy violations โ integrating CSPM tooling into operational workflows for proactive compliance management.
โข Partner with Cybersecurity teams to align cloud platform security with enterprise threat models and applicable regulatory frameworks including GxP, 21 CFR Part 11, HIPAA, and SOX where relevant.
โข Monitor cloud environments for performance, availability, and cost efficiency; proactively identify waste, right-size resources, and drive FinOps practices that deliver cloud value without unnecessary spend.
โข Contribute to platform engineering standards, reference architectures, and guardrails that simplify how development teams consume cloud infrastructure correctly and consistently.
โข Troubleshoot and resolve cloud infrastructure issues with urgency and precision; contribute to post-incident analysis and implement preventive improvements that reduce recurrence.
Qualifications:
Required:
โข Bachelor's degree in Computer Science, Information Technology, or a related field โ or equivalent professional experience.
โข 3+ years of hands-on cloud engineering experience in a production AWS enterprise environment.
โข Demonstrated proficiency with infrastructure-as-code tools (Terraform, CloudFormation, Ansible, or equivalent) and version control (Git).
โข Proficiency in scripting languages (Python, Bash, or equivalent) for automation and tooling development.
โข Strong understanding of cloud networking, virtualization, containerization (Docker, Kubernetes), and cloud security principles.
โข Experience with CI/CD pipelines and DevOps practices in a cloud-native context.
Preferred:
โข AWS Certified Solutions Architect (Associate or Professional), AWS DevOps Engineer, or Azure Administrator/Architect certification strongly preferred.
โข Experience with FinOps practices and cloud cost optimization at enterprise scale.
โข Familiarity with monitoring and observability platforms (Prometheus, Grafana, Splunk, CloudWatch, Azure Monitor, or equivalent).
โข Experience in pharmaceutical, healthcare, life sciences, or other regulated industries โ particularly with GxP, 21 CFR Part 11, or HIPAA cloud compliance requirements.
โข Experience with Kubernetes in production (EKS, AKS, or self-managed) including cluster operations and workload management.
โข Background in cloud security architecture: IAM design, secrets management, network security groups, and cloud-native security tooling.
โข 3 years of experience delivering in an Agile methodology
Company:
Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services Founded in 1999, the company is headquartered in Union, USA, with a team of 1001-5000 employees. The company is currently Late Stage.