Yalo
Hi! We’re Yalo! We’re on a mission to revolutionize how businesses sell in an omnichannel way with our intelligent sales platform and intelligent agents powered by cutting-edge AI. Imagine a world where businesses seamlessly connect with their customers across every channel—offering personalized experiences, anticipating needs, and delivering what they want with ease. That’s the reality we’re building at Yalo.
Born in Latin America and driven by its spirit of innovation, we’re transforming sales for businesses around the globe. From empowering businesses in emerging markets to helping enterprises scale intelligently, we’re redefining how companies engage with their customers and drive growth.
At Yalo, we believe the future of sales is personalized, omnichannel, intelligent, and conversational. Join us as we empower businesses to build stronger relationships and achieve remarkable results worldwide!
Job Summary 🧾
We are seeking a highly skilled and experienced Senior DevOps Engineer to join our dynamic team. This role involves designing, implementing, and managing scalable, reliable, and secure cloud infrastructure, with a focus on Kubernetes (K8s), Google Cloud Platform (GCP), Argo, cloud architecture, and Kafka. The ideal candidate will also have experience in cost optimization and proficiency in coding with Python, JavaScript, or other programming languages.
Your mission?
The main objective of this role is to ensure the efficient and reliable operation of our cloud infrastructure, enabling seamless integration and deployment of applications. This role is key to maintaining our competitive edge by optimizing performance, enhancing security, and reducing costs. Additionally, you will play a crucial role in promoting a DevOps culture across the organization, fostering collaboration between teams, and contributing to architectural decisions.
What are the responsibilities for this role? 🧠
- Design, implement, and manage scalable, reliable, and secure cloud infrastructure on GCP.
- Develop and maintain CI/CD pipelines using Argo to ensure efficient and automated deployment processes.
- Manage and optimize Kubernetes clusters for high availability and performance.
- Architect and implement cloud solutions that meet business requirements and industry best practices.
- Integrate and manage Kafka for real-time data processing and streaming applications.
- Collaborate with development teams to ensure seamless integration and deployment of applications.
- Monitor system performance, troubleshoot issues, and implement improvements to enhance system reliability and efficiency.
- Implement cost optimization strategies to ensure efficient use of cloud resources and reduce operational expenses.
- Promote DevOps best practices and culture across the organization.
- Work closely with cross-functional teams to drive architectural decisions and ensure alignment with business goals.
Job Requirements?💻
- Proven experience as a DevOps Engineer or similar role.
- Extensive experience with Kubernetes, GCP, Argo, cloud architecture, and Kafka.
- Proficiency in coding with Python, JavaScript, or other programming languages.
- Strong understanding of CI/CD principles and best practices.
- Experience in cost optimization and managing cloud budgets.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a fast-paced, team-oriented environment.
- Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
Soft Skills that matter to us🫀
- Time management
- Strong communication skills
- Adaptability and flexibility
- Team collaboration
- Mentorship
Metrics to measure 📈
- System uptime and reliability
- Deployment frequency and success rate
- Cost savings and budget adherence
- Response time to incidents
- Performance improvements and optimization metrics
- Adoption of DevOps practices across teams
- Unlimited PTO policy
- Competitive rewards on the market range
- Worklife-Personal Life Integration
- Start-up environment
- International teamwork
- You and nothing else limit your career here
We care,
We keep it simple,
We make it happen,
We strive for excellence.
At Yalo, we are dedicated to creating a workplace that embodies our core values: caring, initiative, excellence, and simplicity. We believe in the power of diversity and inclusivity, where everyone's unique perspectives, experiences, and talents contribute to our collective success. As we embrace and respect our differences, we strive to create something extraordinary for the benefit of all.
We are proud to be an Equal Opportunity Employer, providing equal opportunities to individuals regardless of race, color, religion, national or ethnic origin, gender, sexual orientation, gender identity or expression, age, disability, protected veteran status, or any other legally protected characteristic. Our commitment to fairness and equality is a fundamental pillar of our company.
At Yalo, we uphold a culture of excellence. We constantly challenge ourselves to go above and beyond, delivering remarkable results and driving innovation. We encourage each team member to take initiative and make things happen, empowering them to bring their best ideas forward and contribute to our shared goals.
Skills Required
- Proven experience as a DevOps Engineer or similar role
- Extensive experience with Kubernetes (K8s)
- Experience with Google Cloud Platform (GCP)
- Experience with Argo (Argo CD) and CI/CD pipelines
- Experience integrating and managing Kafka for streaming
- Proficiency coding in Python, JavaScript, or other programming languages
- Strong understanding of CI/CD principles and best practices
- Experience in cost optimization and managing cloud budgets
- Excellent problem-solving skills and attention to detail
- Strong communication skills and ability to collaborate across teams
What We Do
Yalo helps businesses offer a delightful customer experience on their customers' favorite apps – Facebook Messenger, WhatsApp, and WeChat. Every business on Yalo has a virtual assistant with an optimized flow that handles customer requests to the point of payment and fulfillment. If at any point the customer need is beyond what the chatflow is capable of doing, the request gets seamlessly transferred to a human agent to provide resolution. Through the Yalo platform, businesses get an artificial intelligence powered CRM that allows them to handle sales and build personal relationships, at scale, on Facebook Messenger, WhatsApp, and WeChat. Yalo uses deep learning (a machine learning technique) to have chatbots learn from their human counterparts to continuously improve the experience. The team behind Yalo is composed of Columbia University and Salamanca engineers, former PayPal technical leads, and is supported by a group of investors from New York, Mexico and Latin America.
