Role Description Why you will enjoy Mondays again: - Opportunity to work alongside a talented, diverse team in a collaborative and creative environment - Ongoing investment in your growth through training, mentorship, and industry certifications - Hands-on exposure to cutting-edge technologies across multiple industries - Recognition programs and employee awards within an inclusive culture that celebrates great work, including our AI Innovators Program - Remote or hybrid work options - Competitive salary + bonus opportunities - Robust benefits package, matching 401(k) plan, and substantial PTO - Tuition reimbursement A Day in the Life: - Design, build, and maintain secure Azure cloud infrastructure within client-owned Azure tenants, supporting environments that require private networking, controlled access, and no-public-endpoint architecture. - Develop and manage Infrastructure as Code using Bicep or ARM templates, ensuring changes follow peer-review, version control, and audit-trail best practices. - Configure and support Azure services including Functions Premium, Virtual Networks, Private Endpoints, Key Vault, Entra ID, Managed Identities, and scoped RBAC permissions. - Build and enforce CI/CD pipelines using Azure DevOps and/or GitHub Actions to support reliable infrastructure deployments, environment consistency, and secure release workflows. - Provision and manage Azure PostgreSQL, Blob Storage, and related access controls to ensure data services are secure, properly scoped, and aligned with client architecture standards. - Actively leverage AI tools to streamline tasks, improve the quality of your work, and share best practices with teammates while continuously seeking new ways to integrate AI into your everyday workflows. - Implement observability and security monitoring through Azure Monitor, Log Analytics, and Microsoft Sentinel integration to improve visibility, alerting, and operational readiness. - Partner with security, application development, and client infrastructure teams to troubleshoot issues, review cloud architecture decisions, and support secure cloud delivery across complex Azure environments. - Participate in design reviews, code reviews, and deployment planning sessions to ensure infrastructure solutions are scalable, compliant, and aligned with enterprise cloud governance expectations. Qualifications - Consultative approach and problem solving skills to successfully align digital solutions with long-term business goals of the client - Hands-on experience using AI tools to enhance daily work, or a strong desire to do so, including a willingness to experiment, learn, and champion AI adoption within your role - Commitment to understanding and exceeding client expectations - Ability to perform project oversight and execution of deliverables - Flexibility to adapt within a high-growth organization - Ability to lead, mentor and motivate those around them - Hunger for continuous learning and professional development - Intellectual curiosity to provide creative solutions - Full understanding of the software development life cycle - Ability to positively impact fellow colleagues through effective leadership, presentations, coaching, etc. - Desire to work in a team environment - Good interpersonal, written and verbal communication skills Requirements - C2C is not available - Must be authorized to work in the U.S. without sponsorship Benefits - Robust benefits package, matching 401(k) plan, and substantial PTO - Tuition reimbursement Equal Employment Opportunity Policy Sparq is proud to offer equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic. We are committed to providing equal employment opportunities and believe in an inclusive workplace. If you require reasonable accommodations to participate in the job application or interview process, please let us know by contacting recruiting@teamsparq.com . #LI-REMOTE

• Design, size, provision, and operate bare-metal GPU server fleets across on-prem and air-gapped environments (firmware/BIOS, BMC via Redfish/IPMI, OS, drivers) with zero-touch provisioning (PXE/iPXE, MAAS/Metal3/Tinkerbell) and automation (Ansible/Salt, Terraform/Pulumi). • Own the NVIDIA GPU stack end to end: drivers, CUDA, GPU Operator, Container Toolkit, MIG, and DCGM, tuned for inference throughput, latency, and utilization. • Build the bare-metal substrate Kubernetes runs on: node lifecycle, container runtime, GPU device plugins, node feature discovery, and kernel/NUMA tuning. • Engineer data-center networking and resilient storage (VLANs/switching, RDMA, Ceph/ZFS/NVMe) sized to scale without replacing the core, with encryption at rest. • Partner with ML and MLOps on on-prem inference serving (Triton, KServe, vLLM): model deployment, GPU scheduling and sharing, and performance tuning. • Plan and run on-site build-outs: rack integration, power/UPS and cooling sizing, commissioning, capacity planning, runbooks, and operator handover.

• Defining and owning DigitalOcean's hardware architectures for next-generation compute environments across our CPU, GPU, Storage, and Infrastructure Server SKU products, navigating shifts in technology, networking topologies, and AI/ML requirements. • Serving as DigitalOcean's primary technical stakeholder for infrastructure technologies partnering with SMEs in the Product and Hardware Engineering organization. • Providing leadership and guidance as a primary stakeholder in the hardware selection and qualification process. • Evangelizing emerging technical concepts to senior leadership to inform product and business strategies. • Architecting end-to-end server designs with vendors and partner teams to support a wide variety of CPU, GPU, and other emerging workloads. • Architecting end-to-end storage topologies with vendor teams to support diverse workloads across performance, capacity, and archival tiers, moving from direct-attached to disaggregated and software-defined storage. • Leading proof-of-concept (PoC) initiatives for emerging infrastructure technologies and transitioning successful pilots into global deployment standards. • Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact. • Represent DigitalOcean in the broader community attending conferences, contributing to papers and presentations.

Role Description Architect the backbone of a high-scale microservices ecosystem and empower engineering teams to deploy with confidence and speed! We’re looking for a Staff Cloud Infrastructure Engineer to join our Product Development team! In this role, you will… - Maintain the core infrastructure platform and standard building blocks that our developers use to run, build, and deploy their code. - Guide engineering teams through common bottlenecks by identifying structured, consistent ways to solve them. - Take ownership of our SLAs, making sure the platform stays secure, available, and ready to scale. - Serve as the technical "go-to" person for the organization, bridging the gap between high-level infrastructure and business requirements. Your day-to-day work and responsibilities include… - Digging into incident trends to figure out what’s actually breaking and tackling the root cause. - Driving improvements in our cloud setups to catch anomalies and performance lags before they become issues. - Leading architecture design sessions to keep our system resilient as we grow. - Keeping our CI/CD pipelines moving as smoothly as possible. - Mentoring the team and sharing knowledge to make sure everyone is up to speed on best practices. - Participation in on-call rotation. Qualifications - A heavy background in running large-scale distributed applications in the cloud. - A strong grasp of networking and Linux fundamentals and a proven ability to use Linux tools to automate everything. - Hands-on experience with IaC tools like Terraform, Pulumi, or CloudFormation. - Extensive experience with monitoring/observability tooling/frameworks like Grafana. - Experience managing Big Data stacks—think Cassandra, Kafka, Spark, or Databricks. - The capacity to recognize and prioritize technical challenges while diligently working towards their resolution. Benefits - Attractive pay structure, including equity. - Great work equipment, and home office allowance for those working in our fully remote locations. - Annual personal learning budget. - Sports allowance. - Benefits vary depending on location. Company Description Supermetrics builds an end-to-end marketing intelligence platform, with 15% of global advertising spend reported through our products. We help marketers turn their data into insights that improve business results and predict the best next step. Our technology streamlines marketing data for over 200,000 businesses through a network of agencies and customers like Shopify, HubSpot, and Nestlé. Since our founding in 2013, we’ve grown from a one-person shop to a key player in the industry—and we’re just getting started! We're a team of 400+ growth-minded people from diverse backgrounds. Together, we make a multicultural, resourceful, and collaborative team. Supermetrics operates on trust, transparency, and a keen customer focus. Forward-looking and action-oriented, we work hard to raise the bar in our industry. As team players, we help each other and win together. We're hiring for a diverse, skilled, and collaborative team and building an inclusive workplace where everyone is treated fairly and respectfully. Our commitment to transparent hiring: At Supermetrics, we leverage AI in our early recruitment stages to efficiently match your skills to our roles and provide a frictionless scheduling experience. While AI helps us operate faster and fairer, all final hiring decisions and deep-dive interviews are conducted by our human team members.