The Solutions and Technologies (S&T) group is seeking a talented Consulting Engineer to lead design, implementation, and deployment of secure cloud-native communication solutions.
Compensation
The pay range for this opportunity is from $179,127 to $234,100 + benefits.
Responsibilities
Conduct research to stay up to date with cloud-native technologies
Present architectural ideas to stakeholders
Develop reusable Terraform/Ansible modules
Analyze logs, debug, and troubleshoot issues
Collaborate with business, product, and technology teams
Own the customer and partner onboarding experience for Cisco Cloud Control, shaping vision, strategy, and roadmap for onboarding and activation across direct, partner, and managed-service customers.
Compensation
The starting salary range posted for this position is $154,900.00 to $225,300.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Responsibilities
Define and drive the product vision, strategy, and roadmap for onboarding and activation
Turn customer, partner, and field insights into clear product requirements, user stories, and success criteria
Partner with engineering and design to build simple, scalable, self-service onboarding flows
Work across Cisco business units so customers get a consistent experience across many products
Define and track adoption and time-to-value metrics
Help shape the future of AI inference by building platform capabilities that enable developers and enterprises to bring AI applications to life at scale.
Locations (3)
Dallas, Texas, United States
San Francisco, California, United States
New York City, New York, United States
Compensation
Groq is committed to providing competitive compensation through our Total Cash philosophy, which incorporates potential bonus value directly into base pay. The total cash salary range for this position, which is inclusive of the potential bonus value, is $310,400 - $365200, with individual placement determined by your geographic location, experience, skills, and alignment with internal compensation standards. This range is specific to candidates located in the United States. Compensation for international candidates will vary based on local market dynamics. Beyond cash compensation, Groq also offers a Long-Term Incentive (LTI) Program and a robust suite of employee benefits.
Responsibilities
Drive hands‑on product definition and delivery, translating customer needs, technical constraints, and business priorities into detailed specifications, feature requirements, success metrics, and execution plans from concept through launch and continuous improvement.
Pay Ranges
Purchase, New York: $161,000 - $266,000 USD
Arlington, Virginia: $161,000 - $266,000 USD
New York City, New York: $168,000 - $277,000 USD
O'Fallon, Missouri: $140,000 - $231,000 USD
Responsibilities
Contribute to the design and build of the components of Mastercard's enterprise MCP deployment, such as the security gateway, the MCP registry that governs what exists and who owns it, and reference server implementations that teams build from. Take these from design through to running production services.
The Data Analyst runs escalated data investigations end to end, traces numbers back to sources, and turns investigations into automated tools, dashboards, and AI-assisted products.
Responsibilities
Running escalated data investigations end to end
Reproducing the issue, tracing the number back to its source, and answering it
Hands-on analysis and working out where a number came from
Reporting what we find to the teams that produce our data
Documenting investigations and knowledge sharing
Requirements
Nice to have: Experience with modelled or estimated data
Nice to have: panel data
Nice to have: web analytics
Nice to have: forecasting
Nice to have: Experience building or specifying AI-powered internal tools
Lead the development and execution of AI security products within Cisco’s AI Defense portfolio, driving strategy, roadmap, and cross‑functional delivery.
Locations (2)
San Jose, California, United States
Milpitas, California, United States
Compensation
The starting salary range posted for this position is $233,900.00 to $330,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Bring deep AI infrastructure and cloud platform expertise to complex platform initiatives, contributing to technical specifications, architecture discussions, and roadmap priorities across multiple product workstreams.
Partner closely with Platform Engineering, Distributed Systems, Cloud Infrastructure, Reliability Engineering, Hardware Engineering, and customer‑facing teams to deliver scalable, reliable, and customer‑centric platform capabilities.
Partner with engineering leadership to navigate technical tradeoffs and balance customer impact, technical investments, platform scalability, and long‑term architectural evolution.
Shape customer‑facing cloud capabilities, including inference APIs, developer workflows, and platform experiences, that turn complex infrastructure into services that are easy to adopt, deploy, and scale.
Requirements
Bachelor's degree in Computer Science, Engineering, or related technical field
Implement the identity, authentication, and authorization patterns for MCP across the estate, working with the team's senior engineers and central security and identity teams so that agents, tools, and data are accessed securely and are auditable end to end.
Help set and apply the standard for internal and external MCP servers — how tools and data are exposed, discovered and versioned, and the inspection, data‑protection, rate‑limiting, and kill‑switch controls the gateway must enforce.
Build and operate open weight model serving — stand up and scale self‑hosted inference, package models for deployment, and help enable switching workloads across models and providers for cost, flexibility, and resilience.
Build the evaluation and testing tooling that benchmarks candidate open weight models for quality, cost, latency and safety, and produces the reproducible evidence that governance and security reviews need.
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