15 часов назад
Senior Engineer/Team Lead (Multi-Cloud Operations)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineer/Team Lead (Multi-Cloud Operations): Supporting and optimizing managed AWS and Azure environments, with future expansion into GCP, with an accent on troubleshooting, automation, and AI-enabled operations. Focus on diagnosing complex incidents, building API-integrated workflows, improving service reliability, and leading technical resolution for customer environments.
Location: Remote within the Continental United States; 5% travel required. Must be a US Citizen and eligible to support US public-sector customers and complete required background investigations.
Company
provides managed services, cloud solutions, cybersecurity, AI-driven analytics, automation, and digital transformation services for organizations across industries.
What you will do
- Support and manage customer cloud environments across AWS and Microsoft Azure, with future expansion into Google Cloud Platform.
- Diagnose complex operational incidents and identify root causes across compute, storage, networking, identity, monitoring, and security services.
- Build automation, API integrations, AI-enabled workflows, AIOps practices, and agentic processes to reduce repetitive work and improve resolution times.
- Communicate with customers and internal account teams about incidents, service requests, maintenance, and changes while meeting SLA commitments.
- Measure automation and AI initiatives and report improvements in operational efficiency, customer experience, and platform reliability.
- Provide technical leadership during complex incidents, mentor engineers, and drive long-term corrective actions.
Requirements
- Bachelor’s degree or equivalent work or military experience.
- 6–9 years of experience troubleshooting and managing core services in both AWS and Azure.
- 3+ years developing automation solutions with Python, PowerShell, APIs, workflows, or orchestration tools.
- 3+ years supporting enterprise infrastructure, cloud operations, managed services, or platform engineering environments.
- Experience using AI tools, assistants, automation platforms, REST APIs, and cloud-native services to improve operational efficiency.
- US citizenship, eligibility to support public-sector customers, and successful completion of required criminal history, fingerprint-based, or other customer-mandated investigations.
Nice to have
- Experience at an AWS/Azure managed service provider.
- Experience with LLMs, generative AI, Amazon Bedrock, Azure OpenAI, Anthropic Claude, OpenAI APIs, or similar platforms.
- Experience with agentic workflows, AI orchestration, AIOps, observability, intelligent event correlation, knowledge retrieval, or RAG solutions.
- AWS, Azure, or GCP certifications; proof of active certifications may be requested.
Culture & Benefits
- Remote work arrangement within the Continental US with limited travel.
- Work in a culture focused on teamwork, innovation, continuous improvement, and operational excellence.
- Opportunity to contribute to AI-driven analytics, cloud solutions, cybersecurity, automation, and next-generation infrastructure.
- Equal-opportunity workplace with an emphasis on diverse skills, backgrounds, and perspectives.
Hiring process
- Applications are accepted on a rolling basis.
- A nearby office visit may be requested for a face-to-face interview.
- Proof of active certification(s) may be required.
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