Senior Level Senior Staff Engineer Jobs
Senior level senior staff engineer jobs call for professionals who set technical direction, own system-wide outcomes, and lead the cross-functional efforts that turn architecture decisions into shipped products. Roles skew 32% remote or hybrid across Technology & Software, Electronics & Hardware, and Insurance, with GEICO, Qualcomm, and Northrop Grumman hiring at this level now.
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Showing 5 of 580+ Senior Level Senior Staff Engineer jobs
Overview
On the Fintech Invoicing & Payments team, we build the AI-native sales transaction experience for QuickBooks Online — the Platform where small businesses get paid. As a Senior Staff Software Engineer on the team, you will drive significant, end-to-end technology initiatives across both horizontal layers — from the React form a merchant sees to the MCP tool an agent calls to the GraphQL/STS write that lands in QuickBooks — executing with a boundaryless mindset and contributing well outside any single repo's ownership. The hard, domain-specific work here is making an LLM reliably and safely operate a real accounting system: writing tool descriptions and structured-content contracts precise enough that the model stops asking redundant clarifying questions yet never corrupts a ledger.
You'll partner across a highly matrixed set of stakeholders (Omni, the QBO monolith, payments, design, and external MCP-host partners) to translate customer behavior into durable, scalable, secure designs that balance short-term delivery against long-term architecture. Critically, you'll guide where AI genuinely helps and where it doesn't: you bring a deep, hands-on understanding of LLMs and prompt/tool-description engineering, agent orchestration (LangChain/LangGraph-style frameworks), and the evaluation tooling needed to validate accuracy and prevent regressions before they reach a customer's books.
Responsibilities
- Drives velocity in the organization by accelerating customer, business, and technology outcomes by identifying and driving key opportunities across the company.
- Drives significant technology initiatives end-to-end, including horizontal layers of the architecture.
- Understands customer behaviors and partners with cross-functional partners to influence and drive end-to-end solutions for customer problems.
- Drives design and implementation of durable software solutions that will solve critical customer problems in a fast-paced environment.
- Executes with a boundaryless mindset and contributes to solutions outside of their primary area of ownership.
- Knowledge of building AI native applications.
- Prior working experience in teams that have built AI native applications for 1+ years.
- Guides the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies.
- Understands evaluation tools to validate and measure the accuracy of solutions.
- High-level understanding of how AI models work, the different types of AI models that exist, and their pros and cons.
- Understanding of the latest tools and technologies that apply AI to real-world applications.
- Creates robust, scalable, and secure technical designs, effectively implementing them to balance short-term and long-term objectives, ensuring high availability and optimal performance of applications.
- Passionate for continuous learning, experimenting, and applying cutting-edge technology and software paradigms to solve customer problems.
Qualifications
- Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders.
- 10+ years of experience developing systems/software for large business environments.
- 7+ years of experience designing complex distributed systems, management products, or business applications.
- Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions.
- Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python.
Experience with at least one of the following:
- Front-end technologies like React, Angular.
- Back-end technologies like Java, Typescript, Spring, Express (NodeJS).
- Prior working experience in a cloud computing environment like AWS/GCP is highly desired.
- Prior experience working in teams that have built AI native applications for 1+ years BS/MS in Computer Science or related area.
- Explicit experience with coding using ChatGPT and Claude, including the development of custom plugins or applications.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position in the Bay is: $220,500 - $298,500.
Overview
On the Fintech Invoicing & Payments team, we build the AI-native sales transaction experience for QuickBooks Online — the Platform where small businesses get paid. As a Senior Staff Software Engineer on the team, you will drive significant, end-to-end technology initiatives across both horizontal layers — from the React form a merchant sees to the MCP tool an agent calls to the GraphQL/STS write that lands in QuickBooks — executing with a boundaryless mindset and contributing well outside any single repo's ownership. The hard, domain-specific work here is making an LLM reliably and safely operate a real accounting system: writing tool descriptions and structured-content contracts precise enough that the model stops asking redundant clarifying questions yet never corrupts a ledger.
You'll partner across a highly matrixed set of stakeholders (Omni, the QBO monolith, payments, design, and external MCP-host partners) to translate customer behavior into durable, scalable, secure designs that balance short-term delivery against long-term architecture. Critically, you'll guide where AI genuinely helps and where it doesn't: you bring a deep, hands-on understanding of LLMs and prompt/tool-description engineering, agent orchestration (LangChain/LangGraph-style frameworks), and the evaluation tooling needed to validate accuracy and prevent regressions before they reach a customer's books.
Responsibilities
- Drives velocity in the organization by accelerating customer, business, and technology outcomes by identifying and driving key opportunities across the company.
- Drives significant technology initiatives end-to-end, including horizontal layers of the architecture.
- Understands customer behaviors and partners with cross-functional partners to influence and drive end-to-end solutions for customer problems.
- Drives design and implementation of durable software solutions that will solve critical customer problems in a fast-paced environment.
- Executes with a boundaryless mindset and contributes to solutions outside of their primary area of ownership.
- Knowledge of building AI native applications.
- Prior working experience in teams that have built AI native applications for 1+ years.
- Guides the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies.
- Understands evaluation tools to validate and measure the accuracy of solutions.
- High-level understanding of how AI models work, the different types of AI models that exist, and their pros and cons.
- Understanding of the latest tools and technologies that apply AI to real-world applications.
- Creates robust, scalable, and secure technical designs, effectively implementing them to balance short-term and long-term objectives, ensuring high availability and optimal performance of applications.
- Passionate for continuous learning, experimenting, and applying cutting-edge technology and software paradigms to solve customer problems.
Qualifications
- Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders.
- 10+ years of experience developing systems/software for large business environments.
- 7+ years of experience designing complex distributed systems, management products, or business applications.
- Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions.
- Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python.
Experience with at least one of the following:
- Front-end technologies like React, Angular.
- Back-end technologies like Java, Typescript, Spring, Express (NodeJS).
- Prior working experience in a cloud computing environment like AWS/GCP is highly desired.
- Prior experience working in teams that have built AI native applications for 1+ years BS/MS in Computer Science or related area.
- Explicit experience with coding using ChatGPT and Claude, including the development of custom plugins or applications.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position in the Bay is: $220,500 - $298,500.
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Find JobsSenior Level Senior Staff Engineer Job Market
Who's Hiring
- GEICO51
- Qualcomm25
- Northrop Grumman17
- Thermo Fisher Scientific17
- Google16
Top Industries Hiring
- Technology & Software246
- Electronics & Hardware93
- Insurance56
- Consulting & Professional Services41
- Science & Research34
Senior Level Senior Staff Engineer Jobs: Frequently Asked Questions
How do I get a senior level senior staff engineer job?
Employers hiring at this level look for engineers who have owned large-scale systems end to end, not just contributed to them. Concrete examples of architectural decisions you led, measurable impact on reliability or performance, and evidence that you have mentored or technically guided other engineers all carry significant weight. A portfolio of cross-team influence, not just individual output, is what separates strong candidates at this stage.
Which companies hire senior level senior staff engineers?
Companies hiring senior level senior staff engineers right now include GEICO, Qualcomm, and Northrop Grumman, based on current listings on Migrate Mate as of July 2026. Hiring at this level tends to concentrate in organizations with complex, distributed systems that require experienced engineers who can operate with high autonomy and shape long-term technical strategy.
Are there remote senior level senior staff engineer jobs?
Yes, remote and hybrid options are common at this level. About 32% of senior level senior staff engineer openings are remote or hybrid as of July 2026, reflecting how many organizations trust senior engineers to lead effectively without being on-site. On-site roles do exist, typically at companies where hands-on infrastructure or hardware work is involved.
What makes a senior staff engineer role senior level?
A senior level senior staff engineer operates with organization-wide or multi-team scope, owns architectural decisions that affect other engineers and products, and is expected to drive technical strategy rather than execute against one set by others. Mentoring mid-level and staff engineers, influencing roadmap priorities, and resolving ambiguous, high-stakes technical problems without escalation are all baseline expectations at this stage.
Which industries hire the most senior level senior staff engineers?
Senior Level senior staff engineer roles concentrate in Technology & Software, Electronics & Hardware, and Insurance, based on current listings on Migrate Mate as of July 2026. Those sectors drive demand because they operate at the scale and complexity where experienced technical leadership directly affects product reliability, system growth, and competitive differentiation.