Available Locations: Austin, Seattle, London, Lisbon, Washington DC, Toronto

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

About the Team

ETI’s Storage Infrastructure team is responsible for the core storage layer that underpins many of ETI's stateful services. Our scope ranges from managing the physical hardware to operating the distributed databases and storage systems built upon it. We run this infrastructure globally across Cloudflare's network, which presents unique and complex engineering puzzles. We navigate efficiently expanding storage capacity, optimizing rebuild operations, and coordinating operations across failure domains to uphold durability. While other service teams focus on product development, our mission is to ensure the underlying storage is reliable, performant, and scalable.

You’ll be joining a highly motivated team that is building the next generation of distributed storage services.

What You’ll Do

In this role, you will help build and operate the next generation of globally distributed storage systems. You will own your code from inception to release, delivering solutions at all layers of the stack. On any given day, you might write a design document for a new provisioning system, model failure domain dependencies across edge locations, benchmark new storage hardware, build standardized observability and runbooks for distributed database clusters, or automate operational toil through purpose-built tooling and intelligent automation. You can expect to interact with a variety of languages and technologies including Rust, Go, Saltstack, and Terraform.

Examples of desirable skills, knowledge, and experience

• Strong programming skills with languages like Rust, Go, or Python
• A solid understanding of distributed systems concepts such as consistency, consensus, data replication, fault tolerance, and partition tolerance
• Experience with distributed databases and storage systems
• Experience with infrastructure configuration tooling and infrastructure as code
• Familiarity with storage fundamentals: block devices, filesystems, SSD characteristics
• Experience building and maintaining high-throughput, low-latency systems
• Understanding of network fundamentals as they relate to distributed storage -- bandwidth constraints, latency tradeoffs, cross-datacenter replication
• Strong written and verbal communication skills and ability to explain technical decisions clearly
• Comfortable operating in fast-paced environments with tight deadlines and evolving priorities

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

Available Locations: Seattle, WA

About the Role

Cloudflare’s Senior Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact.

As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, shape technical architecture, and directly influence how Cloudflare products are used at massive scale.

You will operate as a technical extension of both organizations - helping the customer ship faster while surfacing real-world product insights back to Cloudflare engineering.

This role is ideal for engineers who want to:

• Stay deeply technical
• Work on real production systems
• Influence product direction
• Build long-term partnerships with world-class engineering teams

Responsibilities

• Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.
• Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.
• Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.
• Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.
• Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.
• Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.
• Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.
• Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).
• On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

• Proven Engineering Pedigree: 7+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.
• Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain "five nines" uptime.
• Active Practitioner: You are currently in the IDE. You have a "ship-first" mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.
• Full-Stack Architectural Depth: Broad technical fluency across the entire stack—from frontend performance and backend logic to database optimization and distributed infrastructure.
• AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.
• Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the "big picture" without losing sight of the implementation details.
• Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.
• High Agency & Navigating Ambiguity: You are a self-starter who thrives in "zero-to-one" environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end.
• Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.

Nice to Have

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.
• Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.
• A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

Compensation

Compensation may be adjusted depending on work location.

• For Seattle Area based hires: Estimated annual salary of $185,000 - $254,000

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

As a Senior Software Development Engineer at MCG, you will lead the design and delivery of complex cloud-native services that power healthcare decision-support solutions used by health plans, providers, and other stakeholders. You'll work across multiple cloud services, navigating evolving requirements and making critical tradeoffs that directly impact the reliability, security, and performance of our products.

This role sits at the intersection of deep technical skill and cross-service ownership — you won't just write great code, you'll shape how systems interact, fail gracefully, and scale.

You Will

Scope & Influence

• Own moderate to high complexity problems that span multiple cloud services, where tradeoffs, failure modes, and non-obvious interactions must be identified and resolved.

• Operate effectively when requirements evolve during execution, providing technical judgment that keeps delivery on track.

• Influence technical decisions and design direction beyond your immediate team, serving as a trusted technical voice in cross-service discussions.

Design & Delivery

• Lead the end-to-end design and delivery of complex, cloud-native services — from requirements analysis through production operation.

• Anticipate and proactively address non-functional requirements including operational readiness, security, performance, and testability.

• Drive work through ambiguity, decomposing unclear or shifting requirements into actionable, well-sequenced plans.

AI-Augmented Engineering

• Use AI tools (e.g., Claude, Copilot) as a core part of your daily workflow — for code generation, design exploration, debugging, code review, incident analysis, and knowledge retrieval.

• Author and maintain markdown skill files that codify repetitive workflows, runbooks, and best practices, enabling consistent and efficient execution across the team and reducing tribal knowledge.

Incident Response & Reliability

• Actively contribute to incident response, root cause analysis, and preventative improvements, helping the team build increasingly resilient systems.

• Own and improve on-call practices and runbooks for services you design and deliver.

Quality & Craft

• Design services that are scalable, secure, and testable by default.

• Debug complex, multi-service issues that cross team and domain boundaries.

• Raise the testing and code quality bar through code review, pairing, and leading by example.

• Proactively address performance, reliability, security, and maintainability concerns in every phase of development.

What We're Looking For:

• 5+ years of professional software development experience, with significant time building and operating Azure cloud native distributed systems 

• Strong proficiency in C#, .Net Framework, SQL Server, REST APIs, and Microservices.

• Demonstrated experience designing scalable, secure, and testable services for production.

• Track record of debugging complex issues across multiple services and system boundaries.

• Hands-on experience with CI/CD pipelines, infrastructure-as-code, and cloud operations.

• Solid understanding of security best practices, including secure coding, authentication/authorization patterns, and data protection.

• Experience participating in or leading incident response and root cause analysis.

• Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude) and a demonstrated habit of integrating them into daily engineering work for code generation, review, documentation, and problem-solving.

• Experience building and maintaining markdown-based documentation (skill files, runbooks, process guides) to standardize repetitive tasks and enable team-wide automation and consistency.

• Strong communication skills — able to articulate tradeoffs, influence decisions, and mentor teammates.

Preferred Qualifications:

• Experience in healthcare technology or working with PHI/HIPAA-regulated systems.

• Familiarity with event-driven architectures, service mesh, or message bus patterns (e.g., Azure Service Bus, Kafka).

• Experience with observability tooling (logging, tracing, metrics) for distributed systems.

• Background in agile delivery and service ownership models.

Pay Range: $136,000 - $190,400

Other compensation: Bonus Eligible

Location Preference: Seattle-based talent preferred for this role

Perks & Benefits:

💻  Hybrid work

✈️ Travel expected 1–3 times per year for company-sponsored events

🩺 Medical, dental, vision, life, and disability insurance

📈 401K retirement plan; flexible spending and health savings account

🏝️ 15 days of paid time off + additional front-loaded personal days

🏖️ 14 company-recognized holidays + paid volunteer days

👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave

🌈 LGBTQ+ Health Services

🐶 Pet insurance

📣 Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/

Apex Companies, LLC is seeking a motivated and experienced Structural Bridge Engineer to join our growing Structural Engineering Department in the Pacific Northwest (Seattle or Issaquah). This is an exciting opportunity to work on meaningful infrastructure projects that serve the communities where we live and work. Our team delivers planning, engineering, and construction management services for transportation, industrial, and environmental projects throughout the United States, with a strong emphasis on local and regional work across Washington and Oregon. The projects you’ll support will primarily be located in the Pacific Northwest. If you are passionate about bridge engineering and are ready to take the next step in your career with a firm that values technical excellence and collaboration, we encourage you to apply. 

Position Overview

In this role, you will contribute to the design, analysis, and delivery of transportation structures including bridges, retaining walls, culverts, marine structures, and other miscellaneous structural systems. Depending on experience level, under supervision of more senior engineers you will participate in small to medium-sized structural projects or serve as a technical contributor on larger, multidisciplinary efforts. You will work both independently and collaboratively, with mentorship and support available while maintaining responsibility for structural tasks, coordinating with internal teams. 

Your Responsibilities as a Structural Bridge Engineer:

• Plan, analyze, and design transportation structures, including preparation of engineering calculations and technical reports. 
• Participation is preparation of plans, specifications, and engineer’s cost estimates (PS&E packages) 
• Perform bridge load rating 
• Conduct structural modeling and analysis using industry-standard software 
• Prepare engineering reports and technical memoranda 
• Review shop drawings and provide construction-phase engineering support 
• Assist with or lead construction cost estimation and quantity takeoffs 
• Ensure designs comply with applicable codes, standards, and permitting requirements 
• Collaborate with multidisciplinary teams to deliver integrated, high-quality solutions 

What we're looking for:

• Bachelor of Science in Civil Engineering (BSCE) or related, MS in Structural Engineering preferred 
• Professional Engineer (PE) license or ability to obtain within 12 months
• 4+ years of progressively responsible structural design experience 
• Experience in concrete, steel, and/or prestressed concrete bridge design is preferred 
• Working knowledge of AASHTO LRFD Bridge Design Specifications 
• Familiarity with Washington State and/or Oregon transportation agency standards is preferred 
• Experience with structural analysis software such as CSiBridge, SAP2000, LPILE, RISA3D, or similar 
• Strong written and verbal communication skills 
• Ability to manage structural tasks under supervision 
• Working knowledge of AutoCAD (experience with MicroStation is a plus) is preferred 

Why you'll love working for us:

• Opportunity to work on impactful regional infrastructure projects 
• Supportive team environment with mentorship and professional growth opportunities 
• Clear path for career advancement and leadership development 
• Company-subsidized medical and dental.
• Company-paid life, short, and long-term disability.
• 401k match, tuition assistance, and more.
• Cross-training and the ability to work on a variety of projects.
• Performance-based bonuses or other incentives.
• Working with the best and brightest in the industry.
• 2,000+ employee national firm with 70+ locations across the US.

Req ID: 11350

About impact.com
impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results.

Your Role at impact.com:

We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics.

This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business.

You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both.

What You'll Do:

Yield Optimization & Pricing Models

• Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory.
• Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health.
• Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns.
• Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders.

Inventory Allocation & Supply Optimization

• Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives.
• Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions.
• Identify and address inefficiencies in inventory utilization — including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base.

Data Architecture & Feature Engineering

• Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving.
• Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes.
• Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing.

Real-Time Inference & Production ML

• Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making.
• Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers.
• Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic.
• Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration.

Experimentation & Performance Measurement

• Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue.
• Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy.
• Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders.

Self-Learning Systems & Feedback Loops

• Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate.
• Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides.
• Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics.

Cross-Functional Collaboration

• Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly.
• Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse.
• Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams.

What You Bring:

Required

• Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems).
• Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack.
• Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership.
• Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems.
• Technical skills:
• Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks).
• Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference).
• Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining.
• Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events.
• Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques).
• Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums.
• Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred.

Preferred / Nice to Have

• Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms.
• Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML.
• Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems.
• Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions.
• Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling).
• Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training.
• Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts.
• Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery.

What Sets You Apart

• Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack.
• Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain.
• Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal.
• Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking.
• Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project.
• Collaborative depth. You build genuine technical trust with engineering and product partners — not just by having good ideas, but by following through, communicating clearly, and making the integration easy.

Salary Range: $165,000 - $185,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant.

*This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits and Perks: 

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Medical, Dental, and Vision insurance
• Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled 
• Flexible spending accounts and 401(k)
• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. 

impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

#LI_Seattle

Available Locations: Pacific Northwest, San Francisco Bay Area.

*This is a work-from-home role, but you should reside in one of the regions.

What you’ll do as a Solutions Engineer

You are the technical lynchpin through the entire sales cycle - pre-sales and account technical leadership. You will work closely with our Public Sector prospects and customers to educate, empower, and ensure their success on the Cloudflare platform. Your technical expertise in Cloudflare’s global distributed network and technology will allow you to find best-fit solutions for prospects, to train and onboard new customers via video-conference or in person, create documentation, and to support the long-term technology strategy of the customer. 

As a Public Sector SE you will need to have strong technical knowledge of both on premise security and networking implementations and public cloud initiatives common to US Public Sector customers.You are the technical customer advocate within Cloudflare and will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support. 

What we look for in our Solutions Engineers

Our Solutions Engineers come from a wide range of backgrounds: financial consulting, engineering, software development, product management, customer support, and project delivery. We're serious about building a diverse team. When hiring we look for diversity of experience combined with genuine curiosity for our technology.

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty. You appreciate the diversity of challenges in working with customers, and look forward to helping them realize the full promise of Cloudflare. On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other.

Responsibilities

• As critical members of Cloudflare’s Public Sector Sales team, Solutions Engineers drive technical discussions and implementations to help generate new business, expand existing business, and keep our customers happy.
• In business generation and expansion, you’ll be tasked with qualification of prospect and customer use cases, technical requirements discovery, leading demonstrations, solution identification and design, and collaborative work on proofs-of-concept (PoCs).
• For our existing customers, Solutions Engineers are part of a dedicated account team that advises the customer on technical best practices, implementation of Cloudflare products and features, and strategic guidance.
• The role is focused on our territory segment within SLED and as such may require some travel but the majority of engagement will be done via remote mechanisms.  Generally, the role requires 30-40% travel to attend meetings with prospects or customers, attend conferences and other industry events, and to collaborate with your Cloudflare teammates.

Requirements

• Demonstrated understanding in internet technologies: OSI Model layers 1-7,Routing TCP/UDP, DNS (authoritative and recursive), HTTP(S), SSL / TLS.
• Comfort with on premise infrastructure and networking configurations, including potential legacy systems or methodologies.
• Minimum 5 years of experience in a customer-facing sales or consulting role (note: doesn't have to be in tech)
• Technical curiosity and passion: Cloudflare is at the cutting edge of internet technology, and our Solutions Engineers are viewed as subject-matter experts. It’s incumbent on us to stay up to date not only with Cloudflare’s specific products, but with industry trends.
• A focus on learning, teaching, collaboration, mentorship, and growth, not only personally but also within the team and company.
• Aside from technical and collaborative skills, we place a high value on project management, relationship building, and EQ.

Desired

• You understand the role of a firewall, the difference between L3, L4, and L7 firewalls, and that ‘ACL’ doesn't always mean Anterior Cruciate Ligament.
• You're not afraid of command-line interfaces, RESTful APIs, or analyzing HTTP request and response in a browser’s web inspector.
• An undergraduate degree in Computer Science, Engineering or a related field. Reminder: this is not a strict requirement at all. Candidates from all walks of life are welcome.
• As part of our engagement, we expect our engineers to have a foundational understanding of AI, be actively exploring or building AI-driven capabilities, and be focused on empowering their prospects and customers to adopt AI in impactful, practical ways.

Bonus Points

• Graduate-level degrees in Computer Science, Engineering or related fields. Reminder: this is not a strict requirement at all. Candidates from all walks of life are welcome.
• Certifications: Azure/AWS/GCP Architect, etc.

More About You

• You can translate technical concepts and jargon for a wide variety of audiences: from systems engineers, to front-end developers, through to IT managers and C-levels in enterprise organizations.
• You want to be constantly learning new things and teaching what you've learned to the broader team through internal and external blog posts, team demos, and product training sessions.
• You have a knack for understanding problems and finding creative ways to solve them. Our product suite is ever-growing, and knowing how to identify which parts will solve a customer's particular problem is important.
• You understand how to manage a project, work to deadlines, and prioritize between competing demands.

Compensation
Compensation may be adjusted depending on work location. 
This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan.

For Washington based hires: Estimated annual salary of $211,000.00 to 257,000.00

Equity
This role is eligible to participate in Cloudflare’s equity plan.

Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

Research Engineer, Multimodal Generative AI (Image/Video)

Seattle, WA

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

The role of the Research Engineer will be to develop state-of-the-art methods for multimodal generative AI models, with a primary focus on image generation and editing. This role is for the team behind “Nano Banana”.

At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning, and systems neuroscience to build general-purpose learning algorithms. We have already made a number of high-profile breakthroughs towards building artificial general intelligence, and we have all the ingredients in place to make further significant progress over the coming year!

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

Research Engineers at Google DeepMind lead our efforts in developing novel tools, infrastructure, and algorithms towards the end goal of solving and building Artificial General Intelligence.

Having pioneered research in the world's leading academic and industrial labs, PhDs, post-docs, or professorships, Research Engineers join Google DeepMind to work collaboratively within and across Research fields. They are expected to independently build state of the art foundation models and research infrastructure, work with teams on large scale AI, and develop solutions to fundamental questions in machine learning and AI.

Drawing on expertise from a variety of disciplines including deep learning, computer vision, language modeling, and advanced generative architectures, our Research Engineers are at the forefront of groundbreaking research.

Key Responsibilities

• Design, rapidly implement, and rigorously evaluate cutting-edge deep learning algorithms, data curation, and evaluation infrastructure for multimodal generative AI, with a particular emphasis on image synthesis.
• Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.
• Suggest and engage in team collaborations to meet ambitious research goals, while also driving significant individual contributions.
• Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

About You

In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or equivalent practical experience.
• Proven experience in deep learning research and development, particularly in generative AI and related to image synthesis. This includes diffusion models and autoregressive generative models. Experience with post-training is a plus. 
• Exceptional engineering skills in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high-quality research prototypes and systems.
• Strong publication record at top-tier machine learning, computer vision, and graphics conferences (e.g., NeurIPS, ICLR, ICML, SIGGRAPH, CVPR, ICCV).

In addition, the following would be an advantage: 

Demonstrated experience in multimodal generative modeling, especially combining large language models with visual generation (e.g., text-to-image/video systems, joint autoregressive and diffusion models).A keen eye for visual aesthetics and detail, coupled with a passion for creating high-quality, visually compelling generative content.

• A real passion for AI!

What We Offer

At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.

We are also open to relocating candidates to Mountain View and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).

The US base salary range for this full-time position is between $166,000 USD - $244,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

As a Senior Gen AI Engineer, Salesforce Platform you will lead the development of AI-powered solutions across our Salesforce platform to streamline end-to-end business operations. Partnering with the Manager of Salesforce Operations and the Principal AI Architect, you will implement orchestrated AI agents using Salesforce Einstein, Agentforce, and DataCloud, and deliver secure, scalable solutions via Apex, Visualforce, Lightning Web Components, and robust APIs.

You will leverage generative AI to enhance efficiency, reduce manual work, and create smarter systems and workflows across our organization.  Candidates with a deep understanding of business operations and workflows are strongly preferred.  You will play a critical role in delivering AI solutions and frameworks that drive transformative business value.  This is a unique opportunity for full-stack development to experiment and solve for multiple use cases, as well as an opportunity to help educate business stakeholders on the power of AI solutions.

You will: 

• Design, develop, and deploy generative AI solutions that modernize business operations—automating workflows, surfacing insights, and delivering intelligent recommendations with a balance of speed, functionality, and long-term scalability.
• Build, integrate, and operationalize AI agents and automations using Salesforce Agentforce (skills, actions, orchestration, guardrails) embedded within Sales, Service, and CPQ workflows.
• Implement Einstein/Agentforce solutions, including prompt flows, tools, and custom actions grounded in Salesforce Data Cloud for personalized retrieval and contextual experiences.
• Develop and secure APIs (REST/SOAP, Platform Events, Pub/Sub) to connect Salesforce with internal and external systems such as CPQ, CLM, provisioning, licensing, ERP, and finance platforms.
• Engineer data interoperability across systems—collaborating with architects and data teams to break down silos, build ETL pipelines, and establish automated data workflows.
• Build and deploy retrieval-augmented generation (RAG) patterns within Salesforce, implementing data indexing, grounding, safety measures, and evaluation loops.
• Collaborate closely with the Principal Architect and Principal AI Engineer to translate high-level business objectives into production-ready AI-powered solutions, ensuring alignment with architectural and engineering best practices.
• Prototype rapidly to validate new generative AI use cases and transition successful proofs-of-concept into stable, scalable, maintainable production applications.
• Contribute to full-stack development efforts—from API design to front-end UI—when implementing AI features across various business systems.
• Drive and contribute to CI/CD pipelines, code reviews, and release management using modern tooling (SFDX, GitHub Actions, Azure DevOps, etc.).
• Ensure compliance, data security, and governance across all AI and integration solutions, including considerations for PII, data residency, consent management, and auditability.
• Partner with business stakeholders (technical and non-technical) to understand requirements, gather feedback, and continuously improve AI-driven capabilities.
• Work alongside data scientists and AI specialists to evaluate and optimize prompt strategies, fine-tune models, and implement organization-specific AI enhancements.
• Lead knowledge sharing and enablement, mentoring teams and fostering adoption of AI technologies throughout the organization.
• Monitor, evaluate, and iterate on AI solution performance to ensure quality, accuracy, and measurable business value.
• Stay current on industry advancements in AI, automation, and Salesforce innovation, integrating relevant learnings into the organization’s technology roadmap.

What We’re Looking For: 

• Bachelor’s degree in computer science, Engineering, or a related field.
• 8+ years of Salesforce engineering experience and 3+ years delivering AI or automation solutions at scale within enterprise environments.
• Proven success modernizing legacy Salesforce orgs and implementing scalable architectures across Sales Cloud, Service Cloud, and Revenue (CPQ).
• AI & Automation:
  • Hands-on experience with Salesforce Einstein, Agentforce, and Data Cloud; practical AI engineering skills in prompt design, tool calling, RAG/grounding, evaluation, guardrails, and observability.
• Technical Skills:
  • Apex, Lightning Web Components (LWC), SOQL/SOSL, and Visualforce (for legacy support).
  • Proficiency in Python for AI service development, including FastAPI/Flask APIs, evaluation scripts, and LLM endpoint integration.
  • Strong API design and integration experience with Salesforce (bi-directional, streaming, and external APIs).
  • CI/CD experience using SFDX and modern tooling (GitHub Actions, Azure DevOps, etc.).
  • Familiarity with Azure or AWS cloud environments.
• Data Architecture:
  • Experience designing and managing data across Salesforce, Data Cloud, and other business systems including identity resolution, data sharing, and segment activation.
• Operational & Business Acumen:
  • Skilled in process mapping, workflow design, and identifying operational inefficiencies to enable AI-driven improvements.
• Change Enablement:
  • Experience driving adoption and integration of AI solutions across business functions.
• Excellent communication and presentation abilities with technical and non-technical stakeholders, including executives.
• Strong problem-solving, analytical, and troubleshooting capabilities.
• Collaborative, consultative mindset with the ability to translate business needs into technical solutions.
• Comfortable working autonomously in fast-paced, evolving environments.
• Embodies the principles of the Ideal Team Player: humble, hungry, and smart.
• Certifications:
  • • Required:
      • Salesforce Certified Platform Developer I & II.
    • Preferred:
      • JavaScript Developer I, Platform App Builder, Salesforce Certified Data Cloud Consultant or Platform Data Architect, and Salesforce Certified Integration Architect.
      • Trailhead Superbadges or credentials (Agentforce, Apex Specialist, Data Cloud)

Pay Range: $154,300-216,000

Other compensation: Bonus Eligible 

Perks & Benefits:  

💻 Remote work 

✈️ Travel expected 4-8 times per year for company-sponsored events 

🩺 Medical, dental, vision, life, and disability insurance 

📈 401K retirement plan; flexible spending and health savings account 

🏝️ 15 days of paid time off + additional front-loaded personal days 

🏖️ 14 company-recognized holidays + paid volunteer days  

👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave  

🌈 LGBTQ+ Health Services 

🐶 Pet insurance  

📣 Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/  

 Remote with Moderate Travel (4- 8 trips per year) 

This is a remote position, and does require occasional travel, typically between 4-8 times per year. All travel expenses will be covered in accordance with company policy. 

The ideal candidate should be comfortable balancing the independence of remote work with the collaborative opportunities offered by periodic in-person engagements. 

We embrace diversity and equal opportunity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Only with diverse thoughts and ideas will we be able to create the change we want in healthcare. The more inclusive we are, the better our work will be for it.