Location: Remote
About the RoleWe're seeking a process-oriented Cloud Operations Manager to elevate our cloud, GPU compute, and edge device infrastructure maturity and lead our IT operations team. You'll bring operational rigor to our AWS environment, establish best practices for CI/CD pipelines, and mentor our IT team to deliver reliable, scalable infrastructure that enables engineering velocity.
Key ResponsibilitiesTeam Leadership: Manage and mentor IT operations team member(s), providing technical guidance, establishing clear processes, and developing their cloud engineering capabilities through hands-on coaching
Cloud Architecture: Own and grow our AWS environment, implementing proper architecture patterns, cost optimization, security hardening, and disaster recovery procedures across web, AI/ML, and edge computing workloads
CI/CD Operations: Design and maintain automated CI/CD pipelines for infrastructure and application services, including support for containerized, hardware-dependent, and ML-related deployments
Process & Standards: Build operational maturity through documentation, runbooks, change management processes, incident response procedures, and knowledge transfer protocols across cloud and edge systems
Engineering Support: Partner with engineering teams to provide infrastructure that enables fast, safe deployments while maintaining system reliability and security
Incident Management: Lead incident response, conduct blameless post-mortems, and implement preventive measures to reduce recurring issues
Cloud Expertise: 5+ years working with AWS (EC2, RDS, S3, ECS, Fargate, IAM, IaC, networking, security groups) with hands-on architecture and troubleshooting experience
DevOps/CI-CD: Strong background with CI/CD tools (GitHub Actions, Jenkins, GitLab CI, CircleCI) including pipeline design, testing strategies, and deployment automation
People Management: Experience managing and developing technical team members, with patience and skill in coaching less experienced engineers through complex technical concepts
Process Orientation: Track record of implementing operational processes that stick - documentation standards, change management, on-call rotations, incident response
Security & Compliance: Understanding of cloud security best practices, IAM policies, SOC 2 considerations, and infrastructure-as-code for audit trails
Communication: Ability to translate technical complexity into clear explanations for both engineering teams and non-technical stakeholders
Optimizing costs for ML/GPU workloads
Terraform or CloudFormation infrastructure-as-code experience
Kubernetes/container orchestration knowledge
Experience with monitoring/observability tools (DataDog, CloudWatch, Grafana, PagerDuty)
Background in SRE (Site Reliability Engineering) practices
AWS certifications (Solutions Architect, SysOps Administrator)
Experience with SOC 2 compliance and security audits
Scripting skills in Python, Bash, or (bonus points) Ruby for automation
IT operations mistakes decrease significantly through better processes and mentorship
AWS infrastructure follows architecture best practices with documented patterns
CI/CD pipelines are reliable, fast, and trusted by engineering teams
Team member(s) develop stronger cloud engineering skills and confidence
Incident response times improve with clear runbooks and escalation procedures
Infrastructure costs are optimized without sacrificing reliability or performance
Skills Required
- 5+ years working with AWS (EC2, RDS, S3, ECS, Fargate, IAM, IaC, networking, security groups)
- Strong background with CI/CD tools (GitHub Actions, Jenkins, GitLab CI, CircleCI) and pipeline design
- Experience managing and developing technical team members with mentorship and coaching skills
- Proven track record implementing operational processes: documentation, change management, on-call rotations, incident response
- Understanding of cloud security best practices, IAM policies, and SOC 2 considerations
- Ability to communicate complex technical concepts clearly to technical and non-technical stakeholders
- Optimizing costs for ML/GPU workloads
- Terraform or CloudFormation infrastructure-as-code experience
- Kubernetes/container orchestration knowledge
- Experience with monitoring/observability tools (DataDog, CloudWatch, Grafana, PagerDuty)
- Background in SRE (Site Reliability Engineering) practices
- AWS certifications (Solutions Architect, SysOps Administrator)
- Experience with SOC 2 compliance and security audits
- Scripting skills in Python, Bash, or Ruby for automation
What We Do
Panoptyc provides AI-driven solutions for retail loss prevention, utilizing machine learning and computer vision to detect theft and protect assets while maintaining user privacy through advanced anonymization techniques.
