Senior Solutions Engineer Jobs
Senior Solutions Engineer jobs are open across enterprise software, cloud infrastructure, cybersecurity, and fintech, from mid-level to staff and principal, with specializations in pre-sales engineering, platform integrations, and customer success architecture. Find a role that fits from the openings below and apply directly.
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At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Join Apple, and help us leave the world better than we found it. Apple’s Strategic Data Solutions (SDS) team is responsible for mitigating fraud, waste and abuse company-wide while optimizing and empowering our customers and internal partners.
The SDS software engineering team is building an environment to enable ground breaking data analysis over Petabytes of data. We work side-by-side with machine learning engineers and implement scalable, easy-to-use systems and tools. We are seeking a customer- focused, passionate and driven Software Engineer with experience in building analytic tools and solutions.
Description
With the expansive data we have, our job is to build meaningful data relationships and engagement experiences for our internal customers. If you’re interested in being a part of a team that’s constantly learning and problem-solving, we’d love to talk with you. As a Software Engineer on the SDS team, you will work closely with Machine Learning Engineers and other Software Engineers to lead the design and implementation of systems and tools to support the ML initiatives for Apple Retail and Fraud prevention efforts of SDS.
You will be:
- Developing and implementing production software for retail ML initiatives and preventing retail fraud
- Responsible for system architecture design
- Working with external infrastructure teams to drive the development of infrastructure needs
- Innovating by recognizing opportunities for automation and tools improvements
- Responsible for developing and implementing process improvements to bring efficiency and stability to fraud analytics
- Responsible for technical leadership for a team of data scientists
- Responsible for Release engineering and ML Operations
- Expected to operate independent of supervision, with limited guidance
- Lead the team to increase the level of maturity and skill in analytical software development
Preferred Qualifications
Experience with Docker, Kubernetes, or cloud platform deployment
Experience with Relational databases and NoSQL databases
Demonstrated understanding of the full software development lifecycle
Excellent problem solving, critical thinking, and communication skills
Solid grasp of computer science fundamentals including data structures and algorithms
Solid ability to evaluate and apply new technologies in a short time
Self-motivated, proactive, and solution-oriented
Minimum Qualifications
BS or advanced degree in Computer Science, related field or equivalent experience
Mastery of one of Java, Python, or equivalent language
Experience with Big Data & building ETL Data Pipelines
Experience with messaging systems, such as Kafka
8+ years of experience in software engineering/data science
Experience building data science or data analysis tools on AWS/GCP/Cloud based systems
At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Join Apple, and help us leave the world better than we found it. Apple’s Strategic Data Solutions (SDS) team is responsible for mitigating fraud, waste and abuse company-wide while optimizing and empowering our customers and internal partners.
The SDS software engineering team is building an environment to enable ground breaking data analysis over Petabytes of data. We work side-by-side with machine learning engineers and implement scalable, easy-to-use systems and tools. We are seeking a customer- focused, passionate and driven Software Engineer with experience in building analytic tools and solutions.
Description
With the expansive data we have, our job is to build meaningful data relationships and engagement experiences for our internal customers. If you’re interested in being a part of a team that’s constantly learning and problem-solving, we’d love to talk with you. As a Software Engineer on the SDS team, you will work closely with Machine Learning Engineers and other Software Engineers to lead the design and implementation of systems and tools to support the ML initiatives for Apple Retail and Fraud prevention efforts of SDS.
You will be:
- Developing and implementing production software for retail ML initiatives and preventing retail fraud
- Responsible for system architecture design
- Working with external infrastructure teams to drive the development of infrastructure needs
- Innovating by recognizing opportunities for automation and tools improvements
- Responsible for developing and implementing process improvements to bring efficiency and stability to fraud analytics
- Responsible for technical leadership for a team of data scientists
- Responsible for Release engineering and ML Operations
- Expected to operate independent of supervision, with limited guidance
- Lead the team to increase the level of maturity and skill in analytical software development
Preferred Qualifications
Experience with Docker, Kubernetes, or cloud platform deployment
Experience with Relational databases and NoSQL databases
Demonstrated understanding of the full software development lifecycle
Excellent problem solving, critical thinking, and communication skills
Solid grasp of computer science fundamentals including data structures and algorithms
Solid ability to evaluate and apply new technologies in a short time
Self-motivated, proactive, and solution-oriented
Minimum Qualifications
BS or advanced degree in Computer Science, related field or equivalent experience
Mastery of one of Java, Python, or equivalent language
Experience with Big Data & building ETL Data Pipelines
Experience with messaging systems, such as Kafka
8+ years of experience in software engineering/data science
Experience building data science or data analysis tools on AWS/GCP/Cloud based systems
Senior Solutions Engineer Jobs by Experience Level
Top Cities Hiring Senior Solutions Engineers
Explore senior solutions engineer openings in the cities hiring most right now.
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Find JobsSenior Solutions Engineer Job Market
Who's Hiring
- Amazon Web Services198
- CVS Health46
- NVIDIA38
- Databricks32
- Amazon29
Top Industries Hiring
- Technology & Software181
- Distribution & Wholesale73
- Consulting & Professional Services35
- Electronics & Hardware25
- Manufacturing20
What Employers Look For
The qualifications that appear most often in senior solutions engineer jobs.
- 5 or more years of pre-sales or solutions engineering experience in a B2B software environment
- Ability to deliver technical product demos and proof-of-concept builds to enterprise buyers
- Proficiency with cloud platforms such as AWS, Azure, or Google Cloud
- Experience with API integrations, enterprise architecture, and technical discovery conversations
- Strong written and verbal communication skills for both technical and executive audiences
- Bachelor's degree in computer science, engineering, or a related technical field
Tips for Your Senior Solutions Engineer Job Search
Quantify your technical win rate
Your resume should show deals you directly influenced, the complexity of the technical environments you navigated, and the scale of deployments you supported. Hiring managers for senior roles want proof you closed, not just that you assisted.
Tailor demos to each target company
Before applying, research the prospect types your target employer sells to. When an interview includes a mock demo, you'll stand out if you frame product capabilities around their actual customer pain points, not a generic script.
Apply early to roles that fit
Migrate Mate lists senior solutions engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Align certifications to the product stack
A cloud or platform certification that matches the vendor ecosystem the employer sells into carries real weight. AWS Solutions Architect, Salesforce, or similar credentials signal you can go deep in the exact environment the team works in.
Prepare for technical discovery interviews
Senior solutions engineer interviews often include a live discovery call simulation. Practice asking qualifying questions that surface business pain before pitching a solution, since interviewers are evaluating your sales instincts as much as your technical depth.
Negotiate scope, not just base pay
When you reach the offer stage, clarify territory size, named account access, and pre-sales support resources. These factors directly affect your ability to hit targets and advance, so ask about them before you accept.
Senior Solutions Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most senior solutions engineers?
The companies hiring the most senior solutions engineers right now include Amazon Web Services, CVS Health, and NVIDIA, with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of August 2026. Demand is especially concentrated at enterprise software vendors and cloud infrastructure providers scaling their pre-sales teams.
How many senior solutions engineer jobs are remote?
About 68% of senior solutions engineer openings are fully remote or hybrid as of August 2026, reflecting the role's strong compatibility with distributed sales teams. Pre-sales and platform integration specializations tend to have the highest share of remote-eligible positions, while roles tied to on-site customer deployments are more likely to require travel or a local presence.
How do you become a senior solutions engineer?
Most senior solutions engineers start in a junior solutions engineering or sales engineering role, building fluency in technical discovery, demo delivery, and proof-of-concept work. From there, you deepen expertise in a specific product category or cloud platform, take on larger enterprise accounts, and develop the ability to lead technical conversations with both engineering and executive stakeholders. Relevant vendor certifications and a portfolio of successful customer engagements accelerate the progression.
Can you get a senior solutions engineer job without direct pre-sales experience?
Breaking into a senior solutions engineer role without pre-sales experience is difficult, but candidates coming from technical consulting, customer success engineering, or solutions architecture roles can make a strong case. The key is demonstrating that you've owned a technical relationship with a customer end-to-end, mapped technical requirements to product capabilities, and influenced a business outcome. Framing past work through a pre-sales lens in your resume and interviews closes much of the experience gap.
What does the senior solutions engineer interview process look like?
A typical senior solutions engineer interview runs across several stages. An initial recruiter call is followed by a technical screening where you discuss your product knowledge and past deals. The core stage is usually a mock demo or discovery call simulation, where you walk through a scenario as if you were working with a real prospect. Final rounds often include a panel interview with sales leadership and, in some cases, a take-home architecture or proof-of-concept exercise.
Where can I find and apply to senior solutions engineer jobs?
You can find and apply to senior solutions engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the roles available, find the ones that fit your background and target industry, and apply directly to each listing without leaving the platform.
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