Senior Level Senior Software Development Engineer Jobs
Senior level senior software development engineer jobs put experienced engineers in charge of technical direction, system design, and the cross-functional teams that ship production software at scale. Openings are concentrated across Technology & Software, Electronics & Hardware, and Consulting & Professional Services, with a strong mix of remote and hybrid roles, and employers like NVIDIA, Apple, and Speechify hiring at this level now.
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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 Software Development Engineer Job Market
Who's Hiring
- NVIDIA64
- Apple60
- Speechify18
- Rippling15
- Palo Alto Networks15
Top Industries Hiring
- Technology & Software649
- Electronics & Hardware159
- Consulting & Professional Services101
- Banking & Financial Services93
- Investment & Asset Management57
Senior Level Senior Software Development Engineer Jobs: Frequently Asked Questions
How do I get a senior level senior software development engineer job?
Employers at this level look for engineers who have owned complex systems end to end, not just contributed to them. Highlight projects where you set technical direction, resolved ambiguous problems, or drove architectural decisions. Demonstrated experience mentoring junior engineers and influencing cross-team roadmaps gives candidates a meaningful edge over those with equivalent years but narrower scope.
Which companies hire senior level senior software development engineers?
Companies hiring senior level senior software development engineers right now include NVIDIA, Apple, and Speechify, based on current listings on Migrate Mate as of June 2026. Hiring at this level covers large technology companies, enterprise software vendors, and fast-scaling product organizations that need engineers capable of leading technical decisions independently.
Are there remote senior level senior software development engineer jobs?
Yes, remote and hybrid arrangements are common at this level. About 37% of senior level senior software development engineer openings are remote or hybrid as of June 2026, reflecting strong employer demand for senior engineers who can operate effectively without daily in-person oversight. On-site roles tend to cluster in larger metro areas with dense engineering teams.
What makes a senior software development engineer role senior level?
Senior level roles carry ownership of outcomes, not just tasks. Engineers at this stage define technical approaches for complex features or systems, review and raise the quality of others' code, and are expected to identify problems before they escalate. They collaborate with product managers and stakeholders directly, and their judgment shapes decisions rather than just informing them.
Which industries hire the most senior level senior software development engineers?
Senior level senior software development engineer roles concentrate in Technology & Software, Electronics & Hardware, and Consulting & Professional Services, based on current listings on Migrate Mate as of June 2026. These sectors drive the highest demand because they operate large-scale software systems, move fast on product development, and require engineers with the depth to make consequential technical calls independently.