Forward Deployed Software Engineer, Developer Platform Job at Notion (San Francisco)

Staff Full-Stack Software Engineer, (Forward Deployed), GPS

Scale’s rapidly growing Global Public Sector team is focused on using AI to addr...

Location

United Kingdom , London

Salary:

Not provided

Scale

Expiration Date

Until further notice

Requirements

Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems
10+ years of full-stack expertise across Python, Node.js, and React
Proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP)
Expert ability to design and oversee production-grade ecosystems
Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments
A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision
A driver of asynchronous workflows and documentation-first cultures
Proficient in Arabic

Job Responsibility

Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation
Architect the fundamental frameworks for production-grade AI applications
Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity
Direct the development of core platforms and shared services
Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff
Bridge the gap between the field and the core platform by turning real-world client lessons into reusable patterns

Staff FullStack Software Engineer, (Forward Deployed), GPS

Scale’s rapidly growing International Public Sector team is focused on using AI ...

Location

Qatar , Doha

Salary:

Not provided

Scale

Expiration Date

Until further notice

Requirements

Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems
10+ years of full-stack expertise across Python, Node.js, and React
Proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP)
Expert ability to design and oversee production-grade ecosystems
Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments
A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision
A driver of asynchronous workflows and documentation-first cultures
Proficient in Arabic

Job Responsibility

Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation
Architect the fundamental frameworks for production-grade AI applications
Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments
Direct the development of core platforms and shared services
Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff
Bridge the gap between the field and the core platform by turning real-world client lessons into reusable patterns

Software Engineer, Forward Deployed

Being a part of Forward Deployed Engineering (FDE), you will design and build so...

Location

United States , San Francisco, CA; New York, NY

Salary:

168000.00 - 275100.00 USD / Year

Ramp

Expiration Date

Until further notice

Requirements

A minimum of 2 years of software engineering experience preferred
Track record of shipping high-quality products and features at scale
Ability to turn business and product ideas into engineering solutions
Desire to work in a fast-paced environment, continuously grow, and master your craft

Job Responsibility

Deliver solutions end to end that meet the needs of our largest, strategic customers — understanding user pain points, scoping product specs, and designing and building software
Collaborate closely with our sales and go-to-market teams to close exciting deals, activate customers, and expand the value Ramp provides over time
Drive our core product engineering roadmap and make important prioritization and scoping decisions that determine when we build custom solutions vs. accelerate larger existing projects
Solve technical challenges to support new levels of scale, and help us develop and execute our strategy to grow our enterprise platform

What we offer

100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
One Medical annual membership
401k (including employer match on contributions made while employed by Ramp)
Flexible PTO
Fertility HRA (up to $10,000 per year)
Parental Leave
Unlimited AI token usage
Pet insurance
Centralized home-office equipment ordering for all employees

Fulltime

Senior Manager, Software Engineer - Forward Deployed Team

We are seeking a skilled Software Engineer who will design, build, and maintain ...

Location

China , Shanghai

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or related field with 12-15 years of relevant experience
Expert-level skills in Business Immersion, Data Integration, Full-Stack Development, Multi-Audience Communication, Problem Discovery, Rapid Prototyping & Validation, Stakeholder Management, Team Collaboration
Practitioner-level skills in AI Evaluation & Verification, AI Literacy, AI-Augmented Development, Architecture & Design, Code Quality & Review, Developer Experience, Knowledge Management, Pattern Generalization, Service Management, Site Reliability Engineering, Technical Writing
Working-level skills in Cloud Platforms, Data Modeling, DevOps & CI/CD, Lean Thinking & Flow, Technical Debt Management, Time Management & Deep Work

Job Responsibility

Drive delivery of the most critical technical initiatives
Establish engineering delivery practices across the business unit
Be the technical authority on high-stakes projects
Develop technical leaders
Shape engineering talent strategy across the business unit
Build high-performing engineering teams
Shape technology-driven business strategy
Represent technical perspective at executive level
Be recognized as a bridge between engineering and business
Design AI-augmented engineering workflows for your area

Fulltime

Staff Software Engineer – Forward Deployed

We are seeking a skilled Software Engineer who will design, build, and maintain ...

Location

China , Shanghai; Dalian; Wuhan

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or related field with 8-12 years of relevant experience
AI-Augmented Development: optimize AI tool usage, train engineers on AI-augmented workflows, evaluate new AI development tools, establish practices that balance AI speed with verification rigor
Business Immersion: rapidly acquire domain expertise, translate between business and engineering, mentor engineers on immersion
Data Integration: navigate complex enterprise data landscapes, build relationships to gain data access, handle undocumented schemas, build robust integration solutions, mentor engineers on data integration
Full-Stack Development: build complete applications rapidly across any technology stack, select the right tools, balance technical debt with delivery speed, mentor engineers on full-stack development
Multi-Audience Communication: influence through communication at all levels, handle difficult conversations skillfully, train engineers on effective communication, represent teams across the function
Problem Discovery: seek out undefined problems, embed with users to discover latent needs, coach engineers on problem discovery techniques, turn ambiguity into clear problem statements
Rapid Prototyping & Validation: lead rapid delivery initiatives, coach on prototype-first approaches, establish trust through consistent fast delivery, define clear criteria for prototype-to-production transitions
Site Reliability Engineering: define reliability standards, drive post-incident improvements systematically, design capacity planning processes, mentor engineers on SRE practices
Stakeholder Management: influence senior stakeholders, manage complex stakeholder landscapes with competing agendas, build trust rapidly with new stakeholders, shield teams from organizational friction

Job Responsibility

Delivery: Lead technical delivery of complex projects across multiple teams, unblock others through hands-on contributions, ensure engineering quality
AI: Design AI-augmented engineering workflows for your area, evaluate new AI tools, train engineers on effective AI usage, balance speed with verification
People: Coach multiple engineers on career growth, lead hiring for technical roles across your area, shape team technical culture
Business: Drive business outcomes through technical solutions across your area, influence product roadmaps, partner effectively with business stakeholders
Process: Drive process efficiency within your team, coordinate cross-functional technical work, lead retrospectives
Documentation: Design documentation strategies for your projects, ensure knowledge persists beyond individuals, write specifications that enable effective collaboration

Fulltime

Staff Software Engineer, Forward Deployed

As a Forward Deployed Engineer (FDE) for our U.S. Public Sector team at Invisibl...

Location

United States , Washington DC–Baltimore; Reston, VA

Salary:

191000.00 - 279000.00 USD / Year

Invisible Technologies

Expiration Date

Until further notice

Requirements

Active U.S. Department of Defense Secret clearance or higher
8+ years of software engineering experience, including work on data-intensive, ML, or backend systems
Experience leading requirements-gathering activities and translating stakeholder input into technical specifications
Python & ML/LLM frameworks: Hands-on experience with Python and modern ML/LLM tooling (e.g., Hugging Face, LangChain, OpenAI, Pinecone)
Deployment & infrastructure: Experience building and operating API-based services using Docker, FastAPI, Kubernetes, and major cloud platforms (AWS, GCP)
Platform & data management: Familiarity with workflow orchestration, pub/sub systems (e.g., Kafka), schema governance, data contracts, Unity Catalog, Delta/ETL pipelines, and replay processes
Ability to work on-site 2–3 days per week at offices located in the greater Washington, D.C. and Reston, VA area

Job Responsibility

Scope, design, and lead implementation of AI-driven solutions in partnership with delivery teams and executive stakeholders
Translate ambiguous workflows and business needs into repeatable systems and production-ready technical architectures
Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
Build usable systems from messy data and incomplete or evolving requirements
Apply AI/ML solutions in highly regulated environments (e.g., defense, intelligence, healthcare, finance)
Own projects end-to-end—from initial discovery and scoping through implementation, deployment, and post-launch iteration
Build shared infrastructure, reusable components, and internal playbooks to improve delivery consistency and team velocity
Mentor mid-level engineers and contribute to the development of forward-deployed AI engineering practices at Invisible

What we offer

Bonuses and equity are included in offers above entry level

Fulltime

Software Engineer, Forward Deployed

We are seeking a highly skilled and driven Software Engineer with a strong backg...

Location

United States , New York

Salary:

147000.00 - 216000.00 USD / Year

Invisible Technologies

Expiration Date

Until further notice

Requirements

2+ years of software engineering experience, with a strong focus on ML engineering and deploying machine learning models in production
Extensive experience in full-stack development, particularly in backend environments that support AI/ML workloads
Prior experience working directly with clients in use case discovery, product development, and leading client engagements
Strong proficiency in Python, with deep expertise in LLMs, AI Agents, and ML model development
Experience designing and deploying scalable ML systems, such as retrieval-augmented generation (RAG) pipelines and production-grade AI applications
Extensive experience with cloud platforms (AWS, GCP, Azure) and operational best practices for ML workloads
Familiarity with Kubernetes and other container management tools
Ability to write well-structured, organized code and automated unit/E2E tests
Comfortable with polyglot persistence models (SQL vs. NoSQL)
Experience with MLOps frameworks and best practices

Job Responsibility

Develop and Maintain AI/ML Systems: Build robust, scalable backend systems that support machine learning operations and data processing pipelines
Cloud Operations and Management: Oversee and optimize cloud infrastructure to ensure efficient deployment and operation of ML models
Problem Solving: Independently explore and address complex problem spaces to improve system capabilities and performance without extensive guidance
Cross-Functional Collaboration: Work closely with ML engineers and data scientists to integrate advanced ML technologies, ensuring seamless operations across various platforms
Client Engagement: Collaborate directly with Invisible’s clients, working embedded with client teams to support use case discovery, product development, and AI deployment
Innovation and R&D: Actively participate in research and development of new tools that can enhance our AI capabilities and workflows

What we offer

Bonuses and equity are included in offers above entry level

Fulltime