Responsibilities:

• Lead a high-performing team of Portfolio Data Engineers, fostering a culture of collaboration, innovation, and continuous improvement.
• Strategically prioritize and manage team workloads, ensuring effective task allocation and resource capacity to support team goals.
• Provide expert technical guidance and mentorship, ensuring adherence to best practices, coding standards, and architectural guidelines.
• Act as the Chief Data Technical Anchor for the PLMA domain, resolving critical incidents through Root Cause Analysis (RCA) and implementing permanent, resilient architectural fixes.
• Oversee the design, development, maintenance, scalability, reliability, and performance of data platform pipelines, aligning them with business needs and strategic objectives.
• Contribute to the long-term strategic direction of the Data Platform by proactively identifying opportunities for best practice adoption and standardization.
• Champion data quality, governance, and security standards, ensuring compliance and safeguarding sensitive data assets.
• Enhance efficiency and reduce redundancy by consolidating common tasks across teams.
• Effectively communicate decisions to stakeholders, building strong relationships and ensuring alignment on data initiatives.
• Maintain awareness of industry trends and emerging technologies to inform technical decisions.
• Lead the implementation of customer requests into data assets, ensuring optimized design and code development.
• Guide the team in delivering scalable, robust data solutions and contribute hands-on to critical projects, including design and code reviews.
• Lead technical decisions that drive data innovation and resilience.
• Demonstrate full stack cloud data engineering expertise, covering automation, versioning, ingestion, integration, transformation, optimization, and data modeling.
• Engage in agile planning, including scope, work breakdown structure, as well as roadblock resolution.
• Design solutions for cost and consumption optimization, scalability, and performance.
• Collaborate with Data Architecture and stakeholders on solution design, data consolidation, retention, purpose of use, compliance, and audit requirements.
• Drive engineering excellence by establishing and monitoring SWE-centric quality metrics (including DORA metrics and P99 latency targets).

Requirements:

• Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field.
• 8+ years of experience in complex data environments, demonstrating increased responsibilities and achievements with:

+ Expertise in programming languages such as Python or Scala, and strong SQL skills. + Experience with ETL/ELT processes, data warehousing, and data modeling. + Experience with CI/CD pipelines, Docker, Git/Gerrit, and experience designing resilient deployment strategies and sophisticated release management. + Familiarity of data governance, privacy, quality, and monitoring.

• Proven experience in implementing sophisticated testing strategies, driving quality tool adoption, establishing comprehensive code review processes, and setting observability standards with advanced monitoring and proactive alerting.
• 5+ years of experience within the automotive industry or related product development environments and product lifecycle management.
• 5+ years of experience in leading software or data engineering teams, with a focus on team development and project success.
• 5+ years of experience in Big Data environments or expertise with Big Data tools, including:

+ Data processing frameworks and data modeling. + In-depth knowledge and practical experience with Google Cloud Platform services. + Proven experience in monitoring and optimizing costs and compute resources in hyperscaler platforms.

• Significant experience leveraging Generative AI and LLMs to optimize data engineering workflows (e.g., automated code generation, documentation, or metadata management).

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, or a related field.
• Expertise in GCP based data engineering services like BQ, Dataflow, Airflow, Dataform, Datastream, Apache Beam, Cloud Run, Cloud Functions
• Familiarity with automotive Product Development processes, including program planning, design validation, and cross-functional collaboration across engineering, manufacturing, and supplier teams to deliver data-driven insights at each lifecycle stage
• Experience in managing and scaling serverless applications and clusters, focusing on resource optimization and robust monitoring and logging strategies.
• Proficiency in unstructured data ingestion, including experience with data modeling and preparation techniques to support AI and machine learning workloads.
• Experience with AI architecture and AI enabling tech (graph database, vector database, etc)
• Familiarity with data visualization tools (e.g., Power BI, Tableau).
• Working knowledge of ontology, semantic modeling, and related technologies

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As an Analytics Scientist, you will bridge the gap between analytical model development and production deployment, using SAS, Vendor tools on OnPrem and Cloud based applications. You will also be a key contributor in modernizing legacy mainframe-based batch testing processes through automation, dataset comparison frameworks, and summarization/reporting of the data.

Responsibilities:

Implement, validate, test, and Productionalize the predictive models and risk strategies across global platforms. Collaborate with Data Scientists, Business teams, and IT to ensure smooth transition of models from development to production. Design and implement automated pipelines that support batch testing workflows involving mainframe JCL, flat files, VSAM or legacy datasets. Develop reusable and repeatable automation for comparing and summarizing data between legacy and modernized systems for multiple business functions. Use GCP services such as BigQuery, PostgreSQL, Cloud Functions, Cloud Storage, Cloud Composer, Cloud Run, and Pub/Sub to build scalable workflows that support analytics delivery. Move mainframe outputs to cloud storage for processing and use SQL/Python/LLM-enhanced logic to analyze results. Identify opportunities to introduce automation, GenAI tooling, and workflow simplification and develop the Proof-of-Concepts to enhance delivery processes through automation. Provide data analysis, SQL/SAS/Python programming, and on-demand reporting aligned to business needs.

Qualifications:

Bachelor’s degree in computer science, Data Science, Information Systems, Engineering, or related field. 4–5 years of programming experience in object-oriented and procedural paradigms (Example: Java, SQL, and Python),  with experience preferably in Statistical Analysis System software (like"SAS RealTime Decision Manager"). Experience with Relational Database Management Systems (like DB2) 1–2 years hands-on experience with Google Cloud Platform (GCP) including BigQuery, PostgreSQL, Cloud Storage, Cloud Functions, etc. Familiarity with Waterfall, Agile, and PDO methodologies. Experience working with IT testing environments, regression testing, and automated validation. Strong understanding of modern automation frameworks and AI-powered tooling like Agentic AI.

Even better you’ll have:

Master’s degree. Experience integrating or automating processes involving mainframe legacy systems. Gen AI tooling - Agentic AI, Workflows & Cloud integration.

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At Cloudflare, we're on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

As a Senior Solutions Architect, you'll be a trusted advisor to Cloudflare's most strategic enterprise customers. You'll guide digital transformation by aligning business outcomes with Cloudflare's technology platform,including our network, application, security, and developer services.

Responsibilities

Serve as a strategic technical advisor for Cloudflare's top enterprise customers and prospects.

Engage at C-level (CIO, CTO, CISO) to influence technology roadmaps and position Cloudflare as a digital transformation partner.

Facilitate architectural visioning and roadmap workshops that connect business value to Cloudflare's platform capabilities,including emerging use cases in edge compute and serverless development.

Partner with Enterprise Architects and Engineering teams to co-design secure, scalable architectures that leverage Cloudflare's global network.

Translate industry trends (Zero Trust, Digital Sovereignty, AI workloads) into actionable architectural strategies for customers.

Guide clients across the engagement lifecycle: initial strategy, technical design, proof of concept, value realization, and ongoing success planning.

Identify product gaps and provide structured feedback to Product and Engineering teams; participate in roadmap reviews.

Inspire thought leadership through industry events, internal enablement, and technical storytelling.

What Success Looks Like

In your first 6 months:

You've built trusted executive relationships across 3–5 strategic accounts.

You've led 2–3 vision-setting or architecture workshops resulting in multi-year roadmap alignment.

You've shaped at least one key customer engagement involving i.e Cloudflare Developer Platform,demonstrating how edge-native services can accelerate innovation or reduce complexity.

What We're Looking For

15+ years of experience in technical presales, enterprise architecture, or IT leadership (e.g., Chief Architect, CTO, CISO).

Fluent in both business and technology strategy: able to make ROI-driven business cases while diving deep into technical design.

Familiarity with transformation levers such as Zero Trust, cloud migration, developer productivity, and edge compute.

Strong experience working with modern application architectures (e.g., microservices, APIs, event-driven systems, CI/CD).

Exposure to developer-first platforms, serverless models, or edge computing frameworks (Cloudflare Workers, AWS Lambda, GCP Cloud Functions, etc.).

Comfortable engaging a range of personas,from infrastructure teams to app developers to the C-suite.

Confident in public speaking, customer workshops, and evangelizing new ideas internally and externally.

Bonus: Familiarity with frameworks like TOGAF, NIST SP 800-207, and cyber risk management principles.

Preferred Qualifications

Bachelor's or Master’s degree in Computer Science, Engineering, Information Security, or related field.

Experience in regulated industries (FSI, Government, Telco) or complex multi-cloud/hybrid environments.

Hands-on technical curiosity and the ability to learn continuously,especially across networking, application performance, security, and developer services.

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

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As a Staff Security Engineer, you will design and implement scalable triage, prioritization, and remediation-tracking systems across application, infrastructure, and hardware domains. You will set technical standards, drive high-impact initiatives, and mentor engineers through technical leadership, while partnering with leadership on priorities and execution risks.

Key Responsibilities:

• Lead high-complexity VM technical initiatives and deliver architecture decisions for assigned program areas
• Design and build scalable triage automation, including integrations, decision logic, and production hardening
• Implement end-to-end workflow components from assessment and detection to ticket routing and remediation tracking
• Provide deep technical leadership on hardware-adjacent vulnerabilities (GPU firmware, DPU firmware/BlueField, and BMC surfaces)
• Act as senior technical responder for embargoed disclosures and zero-day events, coordinating with owner teams that deploy fixes
• Improve prioritization logic, severity models, and exception workflows through code, design reviews, and technical proposals
• Produce actionable technical metrics and risk insights for leadership consumption
• Lead root-cause analysis for high-impact vulnerability incidents and implement durable technical improvements
• Mentor IC3/IC4/IC5 engineers through design guidance, code review, and incident coaching
• Partner with security, engineering, and operational stakeholders to improve workflow reliability and accelerate remediation outcomes

Requirements:

• 9+ years of relevant experience with demonstrated strategic impact in vulnerability management, application security, platform security, or cloud security engineering
• Proven track record building and scaling security automation (SOAR workflows, AI/ML systems, detection pipelines) in production environments
• Deep subject matter expertise with vulnerability management best practices: CVSS, EPSS, CISA KEV, threat intelligence integration, and risk-based prioritization frameworks
• Excellent development background with strong coding skills in Python, Go, or similar languages for building scalable, production-grade security systems
• Significant experience with modern vulnerability management tooling (for example Wiz, Semgrep, Rapid7, Tenable, or equivalent)
• Experience with specialized infrastructure: GPU/DPU environments, firmware security, hardware vulnerabilities, or high-performance computing
• Demonstrated track record mentoring engineers across levels and driving cross-functional technical initiatives at organizational scale
• Strong business acumen and understanding of how security decisions impact engineering velocity, customer trust, and business outcomes

Preferred Qualifications:

• Practical experience building AI/ML-powered security systems (LLM integration, automated decision-making, human-in-the-loop validation) in production
• Experience managing hardware vendor security partnerships (embargoed disclosures and pre-release collaboration)
• Production experience with security automation platforms such as TINES and serverless frameworks (AWS Lambda, GCP Cloud Functions)
• Strong DevOps, DevSecOps, or SRE background with deep experience in AWS/GCP/Azure cloud services and Infrastructure as Code (Terraform, CloudFormation)
• Deep understanding of Kubernetes security (container scanning, admission controllers, supply chain security, runtime protection)
• Experience leading security programs through rapid hypergrowth (10x+ infrastructure scaling) in startup or cloud-native environments
• Practical experience managing vulnerabilities within a FedRAMP-certified environment or similar regulatory frameworks

Salary and Benefits: The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Work Environment:

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

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