Your role
Dialpad’s AI Engineering organization is responsible for building and maintaining customer-facing AI features at scale across all of our cloud-native products and services. Every day, millions of users worldwide leverage our technology to communicate effectively and efficiently.

Dialpad's Agentic Runtime team owns the infrastructure and execution engine that runs AI agents at scale across Dialpad's core product modalities — including voice, messaging, video, and digital engagement. From multi-step task orchestration and tool execution to real-time context management and agent memory, our team builds the foundational platform that powers Dialpad's next-generation intelligent, autonomous experiences. Our teams are highly collaborative and comprise cross-disciplinary professionals, including Product Managers, QA Specialists, and Engineers specializing in Distributed Systems, ML Infrastructure, and Platform Engineering.

This position reports to the Engineering Manager, who is based in Kitchener, CA, and has the opportunity to be based in our Buenos Aires, Argentina office.

What you’ll do

• Contribute to the design, development, and maintenance of agentic runtime systems, including agent orchestration, tool execution pipelines, and multi-step reasoning loops.
• Build and optimize core runtime components, including task planners, action dispatchers, memory managers, and context window management systems.
• Work on agent coordination techniques, including dynamic tool selection, parallel agent execution, state management, and result aggregation across multi-agent workflows.
• Maintain and enhance highly scalable agentic platforms with a focus on low-latency execution, cost efficiency, and deterministic behavior.
• Ensure high availability, reliability, and fault tolerance in agent runtime services, including graceful degradation when LLM or tool calls fail.
• Collaborate with cross-functional teams — including ML researchers, product, and platform engineers — to translate agentic product requirements into robust runtime infrastructure.
• Develop and optimize real-time distributed systems, microservices, and event-driven architectures powering agentic task execution.
• Design and implement sandboxed execution environments for safe agent use of tools, code execution, and external API calls.
• Implement and maintain monitoring, alerting, and performance metrics covering agent run success rates, token consumption, latency, and cost attribution.
• Evaluate and integrate emerging agentic frameworks, LLM APIs, and tooling ecosystems to continuously improve platform capabilities.
• Write clean, modular, and well-tested code while following best engineering practices in a rapidly evolving problem space.
• Participate in code reviews to ensure the quality, maintainability, and scalability of runtime components.
• Provide mentorship and technical guidance to junior engineers navigating the unique challenges of agentic systems.

Skills you’ll bring

• 3–6 years of experience in distributed systems, platform engineering, or ML infrastructure, with exposure to LLM-based or agentic systems strongly preferred.
• Strong understanding of agent architectures, including ReAct, plan-and-execute, and multi-agent coordination patterns.
• Deep knowledge of context management, prompt lifecycle, tool-call protocols (e.g., function calling, MCP), and agent memory strategies (short-term, episodic, and long-term).
• Experience integrating and managing external tool ecosystems, including web search, code interpreters, databases, and third-party APIs.
• Familiarity with retrieval-augmented generation (RAG) and how retrieval fits into broader agentic pipelines.
• Understanding of LLM output reliability challenges — hallucination, non-determinism, and retry/fallback strategies at runtime.
• Proficiency in Go and Python 3 (experience with Rust or TypeScript is a plus).
• Strong understanding of distributed systems, microservices, and event-driven architectures suited to long-running agent tasks.
• Passion for real-time performance optimization, including streaming responses, async execution, and parallel tool invocation.
• Experience with API design using OpenAPI, Swagger, or equivalent, with an eye toward agentic interaction patterns.
• Knowledge of gRPC or equivalent RPC protocols for inter-service communication within agent runtimes.
• Experience with Docker and Kubernetes, including managing long-running or stateful agent workloads in containerized environments.
• Familiarity with cloud platforms (GCP preferred, AWS/Azure optional), including managed services relevant to agentic workloads such as queuing, secrets management, and compute autoscaling.
• Hands-on experience with Infrastructure as Code tools like Terraform or Ansible.
• Knowledge of CI/CD frameworks and continuous delivery practices, with comfort shipping infrastructure in a fast-moving research-adjacent environment.

You will deploy and maintain our edge data centers for compute, AI and storage, contribute to the installation, migration, updates and integration of hypervisor services and modules. Maintain and optimize active projects. Participate in the development process of new projects and document the architecture and components.

Responsibilities

• Design, deploy, and manage highly available, scalable, and secure infrastructure solutions which include: Kubernetes on bare metal, Proxmox and Ceph
• Design and maintain Kubernetes, Ceph and Proxmox platforms for engineering team consumption
• Ensure that hardware design meets business and technical requirements, including performance, scalability, and reliability
• Evaluate and recommend new technologies and tools to improve the efficiency and effectiveness of virtualization solutions
• Ensure the reliability, performance, and scalability of our edge data centers
• Troubleshoot and resolve complex infrastructure issues, ensuring optimal performance and reliability
• Develop and maintain infrastructure-as-code (IaC) modules and configuration management to automate deployment, management, and monitoring processes

Essential Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in developing Ansible roles and playbooks with idempotency.
• Proficiency in creating Terraform/Tofu modules.
• Strong GitOps mindset.
• In-depth knowledge of Linux networking
• Strong problem-solving and troubleshooting skills
• Familiarity with KVM/QEMU virtualization.
• Understanding of Ceph storage solutions.

Preferred:

• Experience with VXLAN, software-defined networking, and SR-IOV for smart NICs.
• Familiarity with the BGP protocol and configuring FRR or Bird.
• Experience with Terragrunt.
• Proficiency in using Ansible Tower or AWX.
• Proficiency in Python

#LI-KG1

#LI-Brazil
#LI-ARGENTINA

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

What you'll be doing:

As a Global Resolution Engineer (GRE) – Networking SME at WEKA, you will serve as a top-tier technical escalation resource with deep specialization in networking for high-performance computing (HPC), AI/ML, and enterprise environments. You will be embedded in the GRE team and work cross-functionally with Customer Success, Engineering, and Product to resolve critical customer issues, influence product networking design, and improve global support readiness.

You will combine your expertise in modern networking technologies (Ethernet, Infiniband, RDMA, DPDK, UCX) with an understanding of WEKA’s unique networking stack and deployment architectures, helping customers achieve maximum performance, stability, and scalability in demanding environments.

As a GRE - Networking SME you'll: 

• Serve as the primary escalation point for complex customer issues related to networking, fabric design, connectivity, and performance in WEKA deployments.
• Troubleshoot Layer 1–4 networking problems in high-throughput, low-latency environments, including AI/ML pipelines and HPC clusters.
• Collaborate with Customer Success Engineers to mentor, review case strategy, and elevate overall team networking competence.
• Engage in proactive problem prevention by analyzing field data to identify emerging patterns, bottlenecks, or systemic flaws in network configurations.
• Maintain and evolve WEKA’s Known Issues Database, Technical Advisories (WTAs), and Knowledge Base (KB) with network-centric content.
• Partner with the Development team to provide detailed root cause analyses and influence future product capabilities and diagnostics tools.
• Conduct deep-dive training sessions on advanced networking topics for internal support teams and key customers.
  Participate in technical design reviews, both internally and with customer architecture teams, to ensure networking best practices are followed.
• Continuously improve WEKA’s internal tooling for packet capture, latency analysis, flow visualization, and path validation.
• Represent GRE in cross-functional architecture reviews involving customers, field engineers, and partners, with a focus on networking readiness and scalability.
• Support global 24/7 operations through on-call participation and high-severity incident resolution.

Requirements:

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field; equivalent experience accepted.
• 15+ years in advanced technical support, network engineering, or network architecture roles in enterprise, cloud, or HPC environments.
• Demonstrated ability to act as a technical lead in multi-team escalations and customer-critical situations.
• Experience working with or supporting cloud providers (AWS, Azure, GCP) and hybrid deployments is preferred.
• English fluency required; additional languages a plus.
• Flexibility to support global operations, including on-call rotation and occasional travel.
  
  

Additional required skills:

• Subject matter expertise in modern data center networking, including Ethernet (10/25/40/100/400G), Infiniband (HDR/NDR), RDMA (RoCE), DPDK, and UCX.
• Extensive experience with multi-vendor enterprise switching and routing platforms (Arista, NVIDIA/Mellanox, Cisco, Juniper).
  Deep understanding of TCP/IP, LACP, ECMP, jumbo frames, MTU tuning, congestion control, and QoS in storage and compute networks.
• Hands-on experience with network telemetry tools, performance tuning, and link-level diagnostics (ethtool, iperf, perfquery, ifconfig, fabric utilities).
• Advanced Linux systems administration with emphasis on network stack debugging and tuning (sysctl, iptables/nftables, routing tables).
• Proven ability to resolve complex technical issues in distributed systems, particularly in storage-heavy, compute-intensive workloads.
• Excellent written and verbal communication skills, with the ability to convey technical detail clearly and concisely.
• Familiarity with WEKA’s architecture and networking requirements is a strong plus.
• Ability to lead architectural discussions on datacenter fabrics for scale-out systems (AI training clusters, hybrid cloud architectures, etc.).
• Strong documentation skills; able to produce clear internal guides and customer-facing technical content.
  Bonus: Experience with Kubernetes networking (CNI plugins, pod networking), Terraform, Ansible, or scripting in Python/Bash for automation.

The WEKA Way:

• We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

 WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

About the job

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

What You’ll Be Doing

This is a customer-facing Premium Services role that combines deep, hands-on Ceph architecture and administration with the high-touch, outcome-driven approach of a Senior Designated Services Engineer (DSE). You will be the primary Ceph subject matter expert for assigned strategic customers and internal initiatives, owning the design, deployment, lifecycle operations, and performance of Ceph-based object storage environments. In parallel, you will play a key role in ensuring WEKA's Customer Success, contributing to our five-star Gartner reviews. You will work with cutting-edge technologies and top-tier customers, providing technical expertise and strengthening customer relationships.

Collaborating closely with Account Teams, you will gain deep insight into customers' business requirements, technical needs, and system environments. Your role involves resolving technical issues, bridging gaps between customers and Engineering, and ensuring the highest level of service.

Ceph Architecture & Operations

• Architect, deploy, and operate large-scale production Ceph clusters supporting S3 with an emphasis on availability, performance, and operational simplicity.
• Own cluster lifecycle activities: upgrades, patching, configuration management, routine health checks, and proactive risk remediation.
• Troubleshoot complex issues across the Ceph stack, lead incident response and root-cause analysis.
• Establish and maintain runbooks, operational best practices, and customer-facing documentation; drive continuous improvement in reliability, observability, and automation.
• Partner with customer teams on security and compliance requirements
• Advise on hardware and topology choices to meet workload requirements.

Designated Services Engineering 

• Serve as the primary technical liaison between customers and WEKA Engineering/Product to address feature gaps, reliability concerns, and documentation improvements.
• Own, track, and document customer issues via the ticketing system; drive issues to resolution with clear, timely communication and executive-ready updates when needed.
• Proactively monitor customer environments (Ceph and WEKA) using observability and remote monitoring tools to identify and remediate risks before they impact production.
• Support account teams (Customer Success, Sales Engineering, Partners/Resellers) with deep technical expertise and credibility in front of senior customer stakeholders.
• Contribute to knowledge sharing through internal and customer-facing documentation (FAQs, KB articles, runbooks) and repeatable troubleshooting playbooks.
• Manage multiple engagements and cases concurrently, balancing urgency, impact, and long-term customer outcomes.
• Participate in on-call and follow-the-sun support rotations as required; work occasional alternative hours (nights/weekends/holidays) and travel as needed.

Learning & Growth at WEKA

• Ramp on WEKA’s architecture, tooling, and support model, and progressively take ownership of designated services engagements beyond Ceph.
• Develop deeper expertise in S3-compatible object storage concepts and ecosystems (clients, load balancing, performance testing, multi-tenancy), with mentorship from WEKA SMEs.
• Partner with internal teams to improve product supportability and operational excellence for object-storage use cases.

Requirements

We’re looking for a senior, customer-facing engineer who can lead Ceph architecture and operations today, and who is excited to grow into a broader object-storage and WEKA role.

• 10+ years in customer-facing technical roles solving complex enterprise infrastructure issues.
• 5+ years of hands-on Ceph experience in production: cluster design, deployment, upgrades, and day-2 operations.
• Strong understanding of Ceph internals and operational mechanics: MON quorum, MGR active/standby, OSD behavior, CRUSH and CRUSH maps, pools and placement groups (PGs), recovery/backfill and rebalancing.
• Experience operating large-scale (multi-PB) Ceph environments and navigating the operational challenges of fleet size, PG scaling, and long-running recovery events.
• Practical experience with Ceph RGW and S3 concepts (buckets, users/tenants, load balancing, scaling patterns, performance troubleshooting).
• Expertise in Linux/Unix administration in multi-platform, distributed environments.
• Strong troubleshooting skills across hardware, OS, networking, and distributed storage layers (including diagnosing performance bottlenecks and failure scenarios).
• Deep understanding of networking (Infiniband, Ethernet, DPDK, UCX), cloud computing, and distributed storage.
• Experience with observability and monitoring stacks (Prometheus/Grafana and common log/metrics tooling).
• Proficiency in Python and/or Bash; comfort building automation for monitoring, diagnostics, and repeatable operational tasks.
• Excellent written and verbal communication skills, with the ability to explain complex technical topics to both technical and non-technical stakeholders.

It’s Nice If You Have

• Experience with Kubernetes/Containers and/or cloud platforms (AWS, Azure, OCI, GCP) in storage-heavy environments.
• Familiarity with Jira, Confluence, Slack, and collaborating across Support, Engineering, and Product teams.
• Experience supporting HPC or AI/ML infrastructure (GPU clusters, high-throughput networking, performance benchmarking).
• Experience with infrastructure-as-code or config management (Ansible, Terraform, etc.).
• Strong technical writing skills and a habit of creating reusable runbooks and playbooks.

What Success Looks Like

• Customers view you as a trusted technical leader for Ceph and object storage, and they proactively engage you for architectural guidance and operational reviews.
• You can independently assess Ceph cluster health, identify risk, and lead remediation plans that improve availability and performance.
• You deliver consistent, high-quality customer communications and drive issues to resolution while partnering effectively with internal teams (CS, Product and Engineering).
• You build durable artifacts (runbooks, dashboards, automation, postmortems) that raise the operational maturity of customer environments and WEKA’s supportability.
• You ramp quickly on WEKA’s products and processes and expand your ownership beyond Ceph into broader designated services engagements.

The WEKA Way

• We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.