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