SENIOR INFRASTRUCTURE & DEVOPS ENGINEER

at  SVITLA SYSTEMS

Svitla Systems Inc. is looking for a Senior Infrastructure and DevOps Engineer for a full-time position (40 hours per week) in Argentina. Our client is a technology company focusing on edge computing infrastructure, aiming to improve the efficiency and performance of distributed networks. A distributed edge cloud platform that combines colocation, networking, and interconnection services to deliver low-latency applications and services closer to end users. This interconnection platform allows for the direct and secure traffic exchange between networks and cloud providers at the edge. They provide colocation facilities explicitly designed for edge computing, offering space, power, and cooling for edge servers. High-speed, low-latency network services are designed to support edge computing applications, including 5G, IoT, and real-time data processing. The company has corporate headquarters in Austin, TX, and about one-third of the team works there, but most of the team is highly distributed. The client stands at the forefront of the AI revolution, delivering ultra-fast AI and private 5G solutions across its distributed edge locations. Their AI platform offers Network-Delivered AI services in 36 major U.S. markets. This solution utilizes infrastructure, Supermicro’s AI-optimized servers, and NVIDIA’s groundbreaking AI silicon to offer on-demand AI services in top U.S. markets.

Requirements:

• 5+ years of experience as a DevOps Engineer, Infrastructure, or similar positions.
• Experience with building host and virtual OS images.
• Working experience in monitoring with Prometheus and managing time-series data.
• Familiarity with Canonical MAAS (deployment and API).
• Understanding of Kubernetes orchestration and management on bare-metal.
• Strong infrastructure knowledge as Code (IaC) with a focus on Terraform.
• Expertise in programming/scripting with Bash, Python, and Go.
• Working experience with Virtual Machine management and KVMs.
• Experience in testing methodologies across unit, system, integration, and acceptance testing.
• Hands-on experience in developing and maintaining CI/CD pipelines.
• Work experience implementing Zero-Trust Network architectures.
• Knowledge of bare-metal provisioning techniques.
• Knowledge of DMTF Redfish and IPMI for hardware management.
• Knowledge of BGP for both internal and external routing strategies.
• Understanding ARM64/AArch64 architecture, IPv6 networking protocols, and VXLAN technology for network virtualization.
• Understanding comprehensive release management.
• Understanding the integration of machine learning frameworks like PyTorch and TensorFlow with hardware accelerators.
• Familiarity with NVIDIA GPU features, including CUDA and vGPU.

Responsibilities:

• Work with a high-performance team of 5-6 people.
• Spearhead developing and operationalizing the infrastructure to support enterprise-grade PaaS and CaaS offerings.
• Drive initiatives focused on automation, ensuring optimal performance, efficient resource utilization, and high service availability.
• Collaborate with cross-functional teams to identify and implement solutions for Generative AI and accelerated computing use cases.
• Lead the adoption of best practices in containerization and orchestration, ensuring seamless deployments and operations across diverse environments.
• Champion the integration of modern networking technologies and strategies to bolster the platform’s security and efficiency.We are looking for software engineers in two broad focus areas to help support the efforts to build the AI platform. We’ve detailed some skills for Infrastructure & DevOps Engineers and UI/UX Engineers in continuing to develop the AI platform, leveraging the data centers’ current and future computing resources. This team will work with the latest innovations from NVIDIA, including the ARM-based Grace Hopper superchip, to enhance and maintain the infrastructure underpinning the AI platform and its associated services. These engineers will work across multiple concurrent projects, including an existing product, “Metal As A Service,” and a new product, “Container As A Service,” both GPU/AI product offerings under the AI branding. Additionally, these engineers may be asked to work on internal proof of concepts and channel partnership projects, including some work with generative AI & computer vision. Engineers on this team should collectively emphasize automation, performance, resource efficiency, and system reliability. They will expect detailed documents and artifacts for all projects worked on, which should be reviewed weekly or bi-weekly with engineering leadership. While there are current practices in CI/CD in place, the client will ask this team to own the end-to-end deployment process and modernize it with best practices. Lastly, the client expects all engineers on this team to share their passion & enthusiasm for Generative AI technology.

We Offer:

• US and EU projects based on advanced technologies.
• Competitive compensation based on skills and experience.
• Annual performance appraisals.
• Remote-friendly culture and no micromanagement.
• Bonuses for recommendations of new employees.
• Bonuses for article writing, public talks, other activities.
• 15 vacation days, 10 national holidays, sick leaves.
• Udemy unlimited training account.
• Free webinars, meetups and conferences organized by Svitla.
• Fun corporate celebrations and activities.
• Awesome team, friendly and supportive community!

About Svitla:
Svitla Systems is a global trusted IT solutions company headquartered in California, with business and development offices throughout the US, Latin America, Europe, and Asia. Svitla is an outspoken advocate of workplace flexibility, best known for its well-established remote culture, individual approach to our teammate’s professional and personal growth, and family-like environment.
Since 2003, Svitla has served a wide range of clients, from innovative start-ups in California to mega-large corporations such as Ingenico, Amplience, InvoiceASAP and Global Citizen. At Svitla, developers work with clients’ teams directly, building lasting and successful partnerships, as a result of seamless integration with on-site processes.
Svitla Systems’ global mission is to build a business that contributes to the well-being of our partners, personnel and their families, improves our communities, and makes a lasting difference in the world. Join us!

• Work with a high-performance team of 5-6 people.
• Spearhead developing and operationalizing the infrastructure to support enterprise-grade PaaS and CaaS offerings.
• Drive initiatives focused on automation, ensuring optimal performance, efficient resource utilization, and high service availability.
• Collaborate with cross-functional teams to identify and implement solutions for Generative AI and accelerated computing use cases.
• Lead the adoption of best practices in containerization and orchestration, ensuring seamless deployments and operations across diverse environments.
• Champion the integration of modern networking technologies and strategies to bolster the platform’s security and efficiency.We are looking for software engineers in two broad focus areas to help support the efforts to build the AI platform. We’ve detailed some skills for Infrastructure & DevOps Engineers and UI/UX Engineers in continuing to develop the AI platform, leveraging the data centers’ current and future computing resources. This team will work with the latest innovations from NVIDIA, including the ARM-based Grace Hopper superchip, to enhance and maintain the infrastructure underpinning the AI platform and its associated services. These engineers will work across multiple concurrent projects, including an existing product, “Metal As A Service,” and a new product, “Container As A Service,” both GPU/AI product offerings under the AI branding. Additionally, these engineers may be asked to work on internal proof of concepts and channel partnership projects, including some work with generative AI & computer vision. Engineers on this team should collectively emphasize automation, performance, resource efficiency, and system reliability. They will expect detailed documents and artifacts for all projects worked on, which should be reviewed weekly or bi-weekly with engineering leadership. While there are current practices in CI/CD in place, the client will ask this team to own the end-to-end deployment process and modernize it with best practices. Lastly, the client expects all engineers on this team to share their passion & enthusiasm for Generative AI technology