This role is all aboutbringing cloud-native engineering expertiseto enhance how we deliver services and support our partners. You will help drive technical excellence by developing automation, streamlining workflows, and leveraging AI tools to scale our impact. You’ll play a crucial role in embedding modern engineering practices into the organization, ensuring our partners and internal teams benefit from cutting-edge technology.
You’ll collaborate acrossto implement technical solutions that drive efficiency, improve automation, and accelerate a culture ofin everything we do.
Driving Technical Innovation in the Partner Success & Services Organization
- Apply cloud-native engineering best practices to enhance service delivery and partner enablement.
- Develop and maintain AI-driven automation tools to streamline workflows and content generation.
- Design and implement technical frameworks that drive efficiency and scalability.
- Inspire out-of-the-box thinking and innovation by educating colleagues on the capabilities of generative AI.
Building and Scaling Automation & AI Solutions
- Design and deploy automated systems to reduce manual effort, improve consistency, and democratize access to knowledge.
- Leverage AI and ML tools to accelerate content creation, partner enablement, and operational improvements.
- Create reusable engineering patterns and frameworks to ensure scalability across the organization.
Enhancing Partner & Internal Enablement
- Build solutions that help partners and internal teams adopt cloud-native security best practices.
- Implement technical feedback loops that capture insights from engineers, partners, and customers to drive innovation.
- Develop and document best practices for AI-assisted development and automation.
Championing a Culture of Continuous Improvement
- Identify technical gaps in partner and customer engagements, proposing innovative solutions to improve outcomes.
- Develop tools and frameworks to support iterative learning, faster decision-making, and service innovation.
- Mentor and coach internal teams on modern software development, AI-assisted engineering, and DevOps methodologies.
What You’ll Bring
- 8+ years of experience in cloud-native software engineering, architecture, or solutions engineering.
- Hands-on experience with Kubernetes, cloud infrastructure, and modern DevOps practices.
- Strong programming skills in languages like Python, Go, or JavaScript , with experience in automation frameworks.
- Familiarity with AI/ML tools and their application in automating tasks and improving workflows.
- Proven ability to design and implement scalable, cloud-native architectures that drive efficiency.
- Strong collaboration and problem-solving skills, with a track record of working across engineering, product, and business teams.
Technical & Industry Knowledge
- Expertise in container orchestration (Kubernetes, Docker), cloud platforms (AWS, GCP, Azure), and security best practices.
- Experience with CI/CD pipelines, infrastructure-as-code (Terraform, Pulumi), and monitoring/logging tools.
- Understanding of AI-assisted engineering, including code generation tools, automation platforms, and ML-powered decision-making.
Mindset & Cultural Fit
- You think like an engineer and a strategist —you love solving technical problems that drive business outcomes.
- You automate everything —you look for opportunities to reduce manual work through intelligent automation.
- You embrace change and iteration —continuous improvement isn’t just a job; it’s how you work.
- You enjoy collaboration —whether it’s engineers, product teams, or sales, you work across teams to drive impact.
- You see failure as an opportunity to learn —iterate, improve, and keep pushing boundaries.
