Cloud Engineer Cloud Engineer

Optimisation & Operational Excellence 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. 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.

Job Title	Cloud Engineer
Location	Indianapolis, IN 46225 (Hybrid: 3 days in office)
Project Duration	06 Months (Possible Extension)

(Only on W2 Assignment, No C2C or 1099)

Job Description:

• The Cloud Engineer is 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.

BASIC QUALIFICATIONS:

• Bachelor's degree in Computer Science, Information Technology, or a related field or equivalent professional experience.
• 3 years of hands-on cloud engineering experience in a production enterprise environment (AWS and/or Azure required).
• Demonstrated proficiency with infrastructure-as-code tools (Terraform, CloudFormation, Ansible, or equivalent) and version control (Git).
• Proficiency in scripting languages (Python, Bash, or equivalent) for automation and tooling development.
• Strong understanding of cloud networking, virtualization, containerization (Docker, Kubernetes), and cloud security principles.
• Experience with CI/CD pipelines and DevOps practices in a cloud-native context.

PREFERRED QUALIFICATIONS:

• AWS Certified Solutions Architect (Associate or Professional), AWS DevOps Engineer, or Azure Administrator/Architect certification strongly preferred.
• Experience with FinOps practices and cloud cost optimization at enterprise scale.
• Familiarity with monitoring and observability platforms (Prometheus, Grafana, Splunk, CloudWatch, Azure Monitor, or equivalent).
• Experience in pharmaceutical, healthcare, life sciences, or other regulated industries particularly with GxP, 21 CFR Part 11, or HIPAA cloud compliance requirements.
• Experience with Kubernetes in production (EKS, AKS, or self-managed) including cluster operations and workload management.
• Experience with Site Reliability Engineering or Agent Reliability Engineering
• Background in working in a fast paced Agile environment
• Background in cloud security architecture: IAM design, secrets management, network security groups, and cloud-native security tooling[MB1.1].

WHAT YOU SHOULD BRING:

• Deep, hands-on cloud expertise you build and operate production cloud infrastructure, and you hold yourself accountable for its reliability, security, and cost.
• Infrastructure-as-code as a default practice: you write Terraform or equivalent as naturally as you use the cloud console, and you understand why that matters for consistency, auditability, and scale.
• A security-conscious engineering mindset you design with least privilege, defense in depth, and compliance requirements built in from the start, not retrofitted under pressure.
• A cost-conscious approach: you care about what cloud resources cost, you design systems that deliver value without unnecessary spend, and you proactively surface optimization opportunities.
• The communication skills to work effectively with developers who need platform guidance and business stakeholders who need to understand cloud investment decisions and to adjust your language for each.

Responsibilities:
KEY RESPONSIBILITIES:
Cloud Architecture & Infrastructure

• Design and deploy cloud architectures across AWS and/or Azure that meet performance, security, availability, and cost-efficiency requirements for a diverse portfolio of enterprise and research applications.
• Architect and implement cloud networking, compute, storage, and identity constructs with security built in from the outset applying least-privilege principles, network segmentation, encryption, and defense-in-depth across every layer.
• 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.

Automation & Deployment

• Implement and maintain infrastructure-as-code (IaC) frameworks using Terraform, CloudFormation, Ansible, or equivalent making infrastructure provisioning repeatable, auditable, and developer-friendly.
• Build and maintain CI/CD pipelines for cloud infrastructure and application deployments; ensure changes are tested, validated, and deployed safely with automated rollback capability.
• Drive automation of operational tasks patching, scaling, monitoring, alerting, and cost optimization reducing manual intervention and improving platform reliability and response time.

Security & Compliance

• 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.
• Monitor cloud security posture continuously; identify and remediate misconfigurations, drift, and policy violations integrating CSPM tooling into operational workflows for proactive compliance management.
• 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.

Optimisation & Operational Excellence

• 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.
• Contribute to platform engineering standards, reference architectures, and guardrails that simplify how development teams consume cloud infrastructure correctly and consistently.
• Troubleshoot and resolve cloud infrastructure issues with urgency and precision; contribute to post-incident analysis and implement preventive improvements that reduce recurrence.

Comments/Special Instructions:
This could be a hybrid position but 3 days in the office required.

EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.