Software Development Engineer in Test (SDET) — AI-Enabled Quality Infrastructure
Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 13, 2026. SS&C Technologies scores A on the Alion truth index.
SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.
Job Description
Job Title: Software Development Engineer in Test (SDET) - AI-Enabled Quality Infrastructure
Location: San Francisco, CA - 6x a month (HIRING LOCALLY ONLY)
About the Role
We are a growing team with a start-up mentality, looking for motivated individuals who want to be part of an exciting growth opportunity in the Fintech industry.
SS&C Technologies is seeking a Software Development Engineer in Test (SDET) to support our strategic investment in AI-enabled quality engineering and automation. This role focuses on developing and maintaining scalable test automation infrastructure, integrating AI-assisted capabilities into quality engineering workflows, and improving the reliability and efficiency of software delivery across multiple engineering teams.
The ideal candidate brings hands-on experience in software engineering, test automation, AI-assisted development tools, and CI/CD infrastructure, with an interest in advancing modern quality engineering practices across the organization.
Why Join SS&C
SS&C combines proprietary technology with deep industry expertise to support complex financial and healthcare operations. Our teams design, implement, and operate solutions that help clients manage data, automate processes, and scale their businesses with confidence.
You will work with industry experts, modern platforms, and evolving technologies, gaining exposure to real-world operational challenges and large-scale enterprise environments.
What You'll Do
- Use AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor) as a routine part of development, debugging, and automated test authoring, while establishing effective practices for their use across engineering teams.
- Build and integrate AI-assisted capabilities into quality engineering platforms, including automated test-generation scaffolding, failure categorization, root-cause analysis, and intelligent alert routing.
- Develop, extend, and maintain scalable API-level and UI-level test automation frameworks supporting multiple scrum teams.
- Build and maintain CI/CD pipelines (e.g., GitHub Actions, Jenkins) to support automated integration and regression testing, improve test selection, and reduce feedback-loop times.
- Troubleshoot CI failures, flaky tests, and environment-related issues to improve testing reliability and development efficiency.
- Develop and maintain test-reporting, monitoring, and alerting infrastructure using observability and data tools such as Grafana, InfluxDB, and integrations with PagerDuty, Slack, or Microsoft Teams.
- Integrate LLM APIs and AI-assisted automation capabilities into internal engineering tools, quality workflows, and CI pipelines.
- Collaborate with product development teams to identify testing needs and deliver automation frameworks, CI improvements, and AI-assisted engineering solutions.
- Advocate for and support the adoption of AI-assisted quality engineering practices through peer guidance, knowledge sharing, and documentation.
- Participate in code reviews with a focus on reliability, maintainability, and appropriate validation of AI-generated code.
- Develop documentation, onboarding resources, and runbooks to promote consistent adoption and effective use of quality engineering tools.
Required Qualifications
- 2-4 years of professional experience in software engineering, test automation, SDET, or related quality engineering roles.
- Demonstrated hands-on experience using AI-assisted coding tools (e.g., Claude Code, Cursor, GitHub Copilot, or similar) in professional development or test automation workflows.
- Experience integrating LLM APIs or AI-assisted automation capabilities into developer tooling, automated testing infrastructure, CI/CD pipelines, or internal engineering services.
- Strong programming skills in Python, JavaScript/TypeScript, or a comparable programming language.
- Hands-on experience developing and maintaining automated API, integration, or UI testing frameworks.
- Working knowledge of CI/CD concepts and tools such as GitHub Actions, Jenkins, GitLab CI, or similar.
- Experience with observability, monitoring, or data-reporting tools such as Grafana, InfluxDB, ClickHouse, or comparable technologies.
- Familiarity with automated alerting, notification systems, or integrations supporting engineering and testing workflows.
- Proficiency with Git version control, branching strategies, pull requests, and code review practices.
- Experience working within Agile or scrum-based product development environments.
- Strong analytical, troubleshooting, communication, and problem-solving skills.
- Ability to evaluate AI-generated output critically and apply appropriate validation, testing, and engineering judgment.
- Willingness to advocate for, support, and educate peers on AI-assisted engineering practices.
What Sets You Apart
- Experience with agentic development tooling, prompt design, or evaluating AI output quality in engineering workflows.
- Experience with Playwright, Cypress, or similar browser automation frameworks.
- Experience with REST API testing tools and frameworks such as pytest, Jest, Postman/Newman, or custom frameworks.
- Familiarity with Docker, containerization, and cloud platforms (AWS preferred).
- Experience developing scripts or integrations using Slack bots, PagerDuty, or AWS Lambda.
- Basic SQL skills and experience working with structured data.
- Interest in developer experience, internal tooling, and platform engineering.
About the Scope of This Role
This is a software engineering position focused on AI-enabled quality infrastructure and test automation, rather than a traditional software development, machine learning, or data science role.
The primary responsibilities involve building and maintaining automated testing frameworks, integrating AI-assisted capabilities into engineering quality platforms, and helping development teams adopt effective AI-enabled testing practices.
No machine learning model training or data science background is required. The AI focus is applied engineering, using AI-assisted tools and integrating AI capabilities into testing and quality infrastructure.
Join SS&C, where innovation meets global opportunities. Click here to apply.
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Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
SS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity.Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location. California: The expected base salary for the position is between 115000 USD to 130000 USD. In addition, employees in this role may be eligible for consideration on an annual basis for a discretionary bonus and/or equity awards, such as restricted stock units or stock options, based upon individual and business performance at the company’s discretion.
Applications will be accepted on an ongoing basis until the position is filled.
SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.