Lead design, automation, deployment, and integration of cloud and on-premises networking and network security across AWS, Azure, and GCP. Act as technical escalation point, produce assessments and low-level designs, mentor team members, run client workshops, and communicate project status.
AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.
At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.
We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.
We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.
We are currently looking to add a Cloud Networking expert, specifically focused on designing, automating, deploying, and integrating native and third-party networking and network security resources for our Clients in AWS, Azure, and Google Cloud Platform (GCP). Additionally, the PTC, Cloud Networking, will focus on ensuring the on-premises networks are optimized for adoption of cloud services in terms of resiliency and manageability. The ideal candidate for this position will possess knowledge and experience in architecting, engineering, automating, and deploying networking solutions across these platforms, with a strong background in traditional networking technologies. The candidate should also possess strong consulting/interpersonal skills, an ability to lead discussions with clients and guide them to solutions, as well as a deep understanding of the technical implications of business requirements.
Responsibilities:
- Lead design, deployment and automation efforts related to public cloud platforms
- Serve as a technical point of escalation and drive incidents/problems until resolution utilizing advice and assistance from manufacturers and other team members as required
- Keep client stakeholders and project managers apprised of project status throughout the project life cycle with detailed and thorough communication
- Serve as the subject matter expert in cross-functional client workshops and engagements
- Develop a wide range of client assessment and design deliverables including written documents and precise low-level diagrams
- Constantly evolve technical skill sets with certifications, training, and conferences during free time based on business requirements
- Support and mentor less experienced team members through training sessions and on-the-job mentoring
- Represent AHEAD in a professional manner to clients, partners, and peers
- Track, maintain, and report travel and expense activities in accordance with AHEAD policies
- Track, maintain, and report weekly time in accordance with AHEAD policies
Qualifications:
- Experience using Terraform to provision and manage resources deployed to public cloud platforms
- Advanced knowledge in general network security, data center networking and software defined networking
- Degree in the Information Technology field, or equivalent experience
- 7+ years of consulting experience, or equivalent experience
- Experience working as a technical lead in small to medium sized technical networking projects
- Customer focused, and results driven
- Excellent time management and prioritization skills
- Professional communication, analytical, and problem-solving skills
- Must be independent, self-motivated, a self-starter and possess a good working attitude
- Ability to work well within a team and partner environment, including mentoring and training other team members
- Relevant expert level industry certification (CCIE Enterprise Infrastructure, AWS Network Specialty, etc.)
The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location.
Why AHEAD:
Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.
We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.
USA Employment Benefits include:
- Medical, Dental, and Vision Insurance
- 401(k)
- Paid company holidays
- Paid time off
- Paid parental and caregiver leave
- Plus more! See benefits https://www.aheadbenefits.com/ for additional details.
Use of AI:
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at [email protected].
You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out.
AHEAD San Francisco, California, USA Office
2000 Crow Canyon Place Suite 250, San Francisco, United States, 94583
Similar Jobs
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead end-to-end recruitment for enabling functions: partner with hiring managers, source active and passive candidates, manage candidate experience, assess and close hires, build talent pools, and drive continuous improvement and SLA performance alongside TA leads and coordinators.
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead end-to-end recruitment for enabling functions: partner with hiring managers, source active and passive talent, manage candidate experience, support offers and internal moves, build talent pools, coach managers, and drive continuous improvement and SLA/quality metrics in collaboration with BU TA and People Experience leads.
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Handle escalated multi-channel customer inquiries (billing, renewals, cancellations, RMAs), mentor peers, manage high-volume cases, improve processes, and provide actionable insights to improve customer experience and retention.
Top Skills:
macOSSalesforceServicecloudZendesk
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
