We're looking for a network engineer who thinks in metrics first. You will use deep networking knowledge and rigorous measurement to figure out where and how bandwidth, latency, and dollars are being used, find optimization opportunities and land them.

Responsibilities

• Build the network observability stack. Design and deploy telemetry pipelines , sFlow/IPFIX, gNMI streaming, eBPF host probes , that turn packet counters into per-flow, per-tenant, per-workload cost and utilization data. Own the SLIs for backbone and DCN fabric health.
• Hunt for efficiency. Analyze inter-region traffic patterns, identify hot links and stranded capacity, and quantify the dollar impact. Build the models that tell us whether we should buy more capacity, or move the workload.
• Own QoS and traffic engineering. Design and operate traffic classification, marking, and shaping across the backbone. Make sure bulk checkpoint transfers don’t starve latency-sensitive inference, and that we’re not paying premium cross-region rates for traffic that could take the cheap path.
• Drive cost attribution. Tie network spend , egress, interconnect ports, transit, optical leases , back to the teams and workloads that generate it. Make network cost a first-class input to capacity planning and workload placement decisions.
• Influence decisions you don't own. A large fraction of this role is convincing other teams to act on what your data shows: making the case to research that a traffic pattern needs to change, to finance that an interconnect tranche is worth buying, to Systems Networking that a QoS policy needs rewriting.

Requirements

• Have 5+ years operating large-scale production networks , data center fabrics (spine-leaf, Clos), backbone/WAN, or hyperscaler-adjacent environments.
• Are genuinely fluent across the stack: BGP (including policy and communities), ECMP, VXLAN/EVPN or equivalent overlays, QoS (DSCP, queuing, shaping), and L1/optical basics (DWDM, coherent, LAGs).
• Know at least one major CSP’s networking model deeply , AWS (VPC, TGW, Direct Connect, Gateway Load Balancer) or GCP (Shared VPC, Interconnect, Cloud Router, Network Connectivity Center) , and understand how their overlays interact with physical underlays.
• Have built or operated network telemetry at scale: streaming telemetry (gNMI/OpenConfig), flow export (sFlow, IPFIX, NetFlow), or eBPF-based host-side instrumentation. You can reason about sampling, cardinality, and storage tradeoffs.
• Comfortable writing Python or Go to build tooling, telemetry pipelines, infrastructure-as-code, config management for network devices and automation, that you’ll ship to production.
• Think quantitatively by default. You reach for a notebook or a Grafana query before you reach for an opinion, and you can turn messy counter data into a defensible cost model.
• Communicate crisply. You can explain to a finance partner why a 10% egress reduction matters, and to a network engineer why a specific ECMP imbalance is costing real money.

Nice to Have

• SRE experience for large-scale network infrastructure , designing for reliability, defining SLOs/SLIs for network services, capacity planning with error budgets, and incident response for network-impacting outages at scale.
• Background on a cloud provider's networking team or a cloud networking product team , building or operating the interconnect, backbone, or SDN control plane from the provider side, not just consuming it as a customer.
• Familiarity with AI/ML infrastructure traffic patterns like collective communication (all-reduce, all-gather), checkpoint/weight transfer, inference serving, and how these stress networks differ than traditional workloads in terms of burst behavior, flow synchronization, and bandwidth symmetry.
• Experience with HPC fabrics like InfiniBand, RoCE v2, lossless Ethernet, or custom high-radix topologies and an understanding of how job placement, congestion management, and adaptive routing interact at scale.
• Background in traffic engineering for large backbones and the operational judgment to know when TE is worth the complexity.
• Hands-on time with multi-cloud connectivity: cross-cloud peering, private interconnect products, and the billing models that come with them.
• Experience building cost/chargeback systems for shared infrastructure, or FinOps exposure in a large cloud environment.

Representative Projects

• Build a per-flow cost attribution pipeline that traces every byte of cross-region egress back to the team and workload that generated it
• Design QoS policy for the private backbone that prevents bulk checkpoint transfers from starving inference traffic
• Model whether it's cheaper to buy an additional 1.6Tb interconnect tranche or to re-route traffic through existing capacity
• Instrument DCN fabric utilization with streaming telemetry and build the Grafana dashboards that become the team's source of truth for network observability

XML job scraping automation by YubHub

The FinOps function is responsible for financial accountability, visibility, and optimization across all engineering-related spend at Plaid. This includes cloud infrastructure, AI/ML and data workloads, third-party SaaS tools, and other technical investments that support Plaid's products and internal platforms.

Responsibilities

• Monitors and analyzes engineering spend across cloud, AI/ML, data platforms, and SaaS, identifying trends, anomalies, and optimization opportunities.
• Builds and maintains forecasts for engineering spend, partnering with Finance and engineering leaders to understand drivers, assumptions, and risks.
• Partners with engineering, product, and TPMs to incorporate cost considerations into roadmaps, architectural decisions, and execution plans.
• Leads cost optimization initiatives, such as rightsizing, commitment strategies, and workload efficiency improvements, in collaboration with engineering owners.
• Creates and maintains dashboards and reporting that make spend understandable and actionable for both engineers and executives.
• Implements FinOps practices and processes, including showback/chargeback models, unit economics, and cost ownership frameworks.
• Partners on tooling and automation, working with data and engineering teams to improve cost visibility, forecasting accuracy, and operational efficiency.
• Drives alignment and behavior change, helping teams balance cost, performance, reliability, and velocity through data-driven decision making.

Requirements

• 6–10+ years of relevant experience working at the intersection of engineering, infrastructure, data, or finance in a cloud-native or SaaS environment.
• Proven experience partnering closely with engineering teams to influence decisions involving cloud infrastructure, data platforms, AI/ML workloads, or SaaS spend.
• Working understanding of modern cloud-native architectures, including core components such as compute, storage, networking, data pipelines, and managed services,enough to engage credibly with engineers on design, tradeoffs, and cost drivers.
• Strong foundation in cost analysis, forecasting, budgeting, and variance management, with the ability to translate data into clear, actionable insights.
• Comfort working directly with data, including writing SQL (or effectively using AI-assisted tools to do so) to explore datasets, validate assumptions, and answer ad hoc questions.
• Experience building clear, high-quality dashboards and BI artifacts that are not only accurate, but intuitive and delightful for engineers and leaders to use.
• Demonstrated success driving adoption and behavior change,embedding cost awareness into day-to-day engineering workflows, not just producing reports.
• Experience owning and delivering cross-functional programs end-to-end, often without direct authority or a dedicated team.
• Familiarity with FinOps principles and practices (e.g., shared ownership, showback/chargeback, unit economics, optimization strategies).
• Strong communication skills, with the ability to tailor complex technical and financial concepts for engineering, finance, and executive audiences.

Nice to Haves

• Hands-on familiarity with cloud cost management tools (e.g., AWS Cost Explorer, GCP Billing, Azure Cost Management, CloudHealth, Cloudability, or similar).
• Experience working with or supporting data platforms and AI/ML workloads, including understanding cost drivers for batch processing, streaming, storage, and model training/inference.
• Exposure to showback/chargeback models, cost allocation strategies, or product-level unit economics.
• Experience improving data models or pipelines that support analytics, reporting, or financial attribution.
• Familiarity with BI tools such as Mode, Tableau, Looker, or similar,and a strong eye for dashboard usability and design.
• Background in a technical role (e.g., engineering, TPM, infra, data, or engineering operations) before moving into a more cross-functional or business-oriented position.
• Experience operating in a high-growth or rapidly scaling environment, where cost structures and investment priorities are evolving quickly.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description.

XML job scraping automation by YubHub

FinOps Support

• Understand current scales of Containers, VM Scale Sets, VMs, DB Pools, App Services and DB’s – resizing and re-scaling as necessary.
• Delete unused assets (e.g. Web & Call Centre Base Images) and alter IaC templates to make such assets optionally configurable.
• Continue the weekly scaling of environments as necessary.
• Become responsible for RI’s and Savings Plans
• Monitor and manage orphaned Azure resources

Service and Security Operations Management

• Shape and implement systems, processes, and methodologies to ensure effective and timely monitoring of Vista’s services
• Take ownership of, and lead the response to, suspected and confirmed security incidents – feed all findings back into system design as a cycle of continuous improvement
• Proactively assist in the delivery of high-quality security outcomes for Vista’s global operations, including conducting regular reviews of our security posture

Product and Technical Support

• Remain current on all aspects of Vista Cloud technology, deployment, and operational processes
• Train internal support teams and act as the escalation point for queries related to security events, providing a resolution path for issues, whether hands-on assistance or simply direction on how to approach issue resolution
• Provide technical advice and assistance for staff across Vista on security incidents as needed
• Conduct regular reviews of work quality and throughput with the Head of Cloud Operations and other Managers (NZ and overseas), and drill down into the analysis of any problems where required to ensure consistency of approach and that standards are being maintained
• Provide advice to the Development Team on possible security remediations to software problems found by vulnerability tools
• Pro-actively work on increasing security scores and manage internal systems regarding security state / posture and maturity

Additional Responsibilities

• Assist the Project Management Office (PMO) with Statement of Work (SoW) scoping and technical reviews and provide security advice to implementation teams
• Utilize appropriate tools to log requests with the services team
• Create material for monthly reports regarding Security state/ posture and maturity

Requirements

• Relevant tertiary degree in business or technology (preferred)
• Azure or AWS Certification
• Knowledge and experience using FinOps tools
• Strong Server Administrator Experience MCSE / MCSA
• Strong understanding of Active Directory, Domains, DNS, DHCP
• Strong understating of IP / networking and enterprise architecture
• Strong understanding of firewalling, Security, and compliance related elements
• Knowledge of DevOps / Repo, deployment pipelines, and approval processes for IaC (infrastructure as code)
• Understanding of compliance requirements
• Strong problem solving and analytical skills
• Willingness to learn and grow within the IaC and security space
• Experience with software design processes
• Commitment to excellent client service, including the ability to develop and maintain positive working relationships with staff and customers

XML job scraping automation by YubHub

What you'll do

• Define and evolve product strategy for enterprise Cost Management, Capacity Management, Cost Optimization, and Vendor/Procurement management.
• Develop multi-year product roadmaps and align priorities across engineering, finance, procurement, and business partners.

What you need

• 10+ years of product management experience, including ownership of complex internal platforms or enterprise products with measurable adoption and outcomes.

XML job scraping automation by YubHub