Cloud Operations Team Lead
JOB SUMMARY:
Be part of a fast moving, lean product development Organization, supporting the Lone Wolf family of Applications. Serve as the hands-on Team Lead for a Cloud Operations team responsible for the reliability, performance, changes, releases, maintenance, and day-to-day operation of infrastructure across AWS, Azure, and a private data center. Guide and mentor a small team of engineers while remaining actively engaged in the work, partnering with Development, Product, IT, DBA, and SRE teams to keep Lone Wolf's hybrid, multi-cloud environment stable, secure, and scalable across all product lines.
ESSENTIAL RESPONSIBILITIES AND DUTIES:
Lead a team of Cloud Operations Engineers, providing day-to-day technical direction, prioritization, and hands-on support
Mentor and develop engineers by sharing best operational practices and deepening the team's understanding of the applications and infrastructure they support
Help build a best-in-class team in a hybrid and multi-cloud environment spanning AWS, Azure, and a private data center
Operate, monitor, and maintain infrastructure and platform resources across AWS, Azure, and on-premises data center systems
Recommend and help implement tooling that drives operational efficiencies
Support orchestration, self-service, infrastructure-as-code, and messaging platforms in partnership with the SRE and DBA teams
Manage and conduct infrastructure changes and application releases as per Release Management team schedule and needs
Manage and conduct proactive maintenance of systems to ensure compliance and stability
Respond to and help lead resolution of operational incidents, coordinating across teams and vendors as needed
Provide analysis of operational efficiencies gained from increased automation, and evaluate new tools and processes to further improve operational and development outcomes.
OFF-HOURS / ON-CALL EXPECTATIONS:
Participate in a rotating on-call schedule providing after-hours and weekend coverage for Cloud Operations incidents and escalations
Serve as an escalation point during off-hours for incidents that require hands-on infrastructure expertise across AWS, Azure, or the private data center
Coordinate off-hours maintenance windows, planned releases, and change activity in partnership with the Release Management team
Help establish and refine on-call runbooks, escalation paths, and handoff procedures to reduce mean time to resolution.
QUALIFICATIONS:
5+ years of operating and maintaining infrastructure and platforms in AWS, Azure, and private data centers
5+ years of building and maintaining automation
2+ years of proven leadership experience
Experience with AI driven tools to assist with analysis, changes, and troubleshooting
Experience with tools such as K8, Ansible, Terraform
Experience with Azure Service Bus and queueing technologies
In-depth understanding of network concepts
In-depth understanding of security practices
Background in an infrastructure role: Server, Network, Storage, etc.
Experience working for a high growth SaaS company
Agile, lean, or similar development methodologies/experience
Experience carrying a production on-call rotation, including after-hours incident response and escalation
KNOWLEDGE/SKILLS/ABILITIES:
Ability to use a wide variety of open-source technologies and tools
Ability to leverage AI platforms to enhance individual/team performance
Ability to code and script
Experience with systems and IT operations
Comfort with frequent, incremental code testing and deployment
Strong grasp of automation tools
Data management skills
A strong focus on business outcomes
Comfort with collaboration, open communication and reaching across functional borders
Process re-engineering
Communicating and collaborating with others
Experience across multiple cloud providers (AWS and Azure) a plus
Self-motivated and able to work in a small team with minimal supervision
Desire to deliver the best solutions for the need
Ownership of any output delivered
Ability to justify decisions made within the work being delivered
Ability to use data to drive decisions