{"id":4290255,"url":"https://alion.io/job/ssc-technologies-software-development-engineer-in-test-sdet-ai-enabled-quality-infrastructure-2","title":"Software Development Engineer in Test (SDET) — AI-Enabled Quality Infrastructure","company":{"id":6013,"name":"SS&C Technologies","domain":"ssctech.com","url":"https://alion.io/company/ssctech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":91,"open_postings":37,"ghost_share":0,"stale_share":0.297,"repost_share":0.081,"time_to_fill_p50_days":28,"computed_at":"2026-11-12T10:38:37Z"}},"role":"QA","role_family":"QA","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":115000,"max":130000,"currency":"USD","period":"year","gross":null,"usd_annual":130000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"ClickHouse","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Cypress","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Grafana","optional":false},{"name":"InfluxDB","optional":false},{"name":"JavaScript","optional":false},{"name":"Jenkins","optional":false},{"name":"Jest","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Teams","optional":false},{"name":"PagerDuty","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Playwright","optional":false},{"name":"Postman","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"Slack","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-11-13T23:06:44Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T23:06:44Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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.\nJob Description\nJob Title: Software Development Engineer in Test (SDET) - AI-Enabled Quality Infrastructure\nLocation: San Francisco, CA - 6x a month (HIRING LOCALLY ONLY)\nAbout the Role\nWe 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.\nSS&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.\nThe 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.\nWhy Join SS&C\nSS&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.\nYou will work with industry experts, modern platforms, and evolving technologies, gaining exposure to real-world operational challenges and large-scale enterprise environments.\nWhat You'll Do\nUse 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.\nBuild and integrate AI-assisted capabilities into quality engineering platforms, including automated test-generation scaffolding, failure categorization, root-cause analysis, and intelligent alert routing.\nDevelop, extend, and maintain scalable API-level and UI-level test automation frameworks supporting multiple scrum teams.\nBuild 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.\nTroubleshoot CI failures, flaky tests, and environment-related issues to improve testing reliability and development efficiency.\nDevelop 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.\nIntegrate LLM APIs and AI-assisted automation capabilities into internal engineering tools, quality workflows, and CI pipelines.\nCollaborate with product development teams to identify testing needs and deliver automation frameworks, CI improvements, and AI-assisted engineering solutions.\nAdvocate for and support the adoption of AI-assisted quality engineering practices through peer guidance, knowledge sharing, and documentation.\nParticipate in code reviews with a focus on reliability, maintainability, and appropriate validation of AI-generated code.\nDevelop documentation, onboarding resources, and runbooks to promote consistent adoption and effective use of quality engineering tools.\nRequired Qualifications\n2-4 years of professional experience in software engineering, test automation, SDET, or related quality engineering roles.\nDemonstrated hands-on experience using AI-assisted coding tools (e.g., Claude Code, Cursor, GitHub Copilot, or similar) in professional development or test automation workflows.\nExperience integrating LLM APIs or AI-assisted automation capabilities into developer tooling, automated testing infrastructure, CI/CD pipelines, or internal engineering services.\nStrong programming skills in Python, JavaScript/TypeScript, or a comparable programming language.\nHands-on experience developing and maintaining automated API, integration, or UI testing frameworks.\nWorking knowledge of CI/CD concepts and tools such as GitHub Actions, Jenkins, GitLab CI, or similar.\nExperience with observability, monitoring, or data-reporting tools such as Grafana, InfluxDB, ClickHouse, or comparable technologies.\nFamiliarity with automated alerting, notification systems, or integrations supporting engineering and testing workflows.\nProficiency with Git version control, branching strategies, pull requests, and code review practices.\nExperience working within Agile or scrum-based product development environments.\nStrong analytical, troubleshooting, communication, and problem-solving skills.\nAbility to evaluate AI-generated output critically and apply appropriate validation, testing, and engineering judgment.\nWillingness to advocate for, support, and educate peers on AI-assisted engineering practices.\nWhat Sets You Apart\nExperience with agentic development tooling, prompt design, or evaluating AI output quality in engineering workflows.\nExperience with Playwright, Cypress, or similar browser automation frameworks.\nExperience with REST API testing tools and frameworks such as pytest, Jest, Postman/Newman, or custom frameworks.\nFamiliarity with Docker, containerization, and cloud platforms (AWS preferred).\nExperience developing scripts or integrations using Slack bots, PagerDuty, or AWS Lambda.\nBasic SQL skills and experience working with structured data.\nInterest in developer experience, internal tooling, and platform engineering.\nAbout the Scope of This Role\nThis 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.\nThe 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.\nNo 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.\nJoin SS&C, where innovation meets global opportunities. Click here to apply.\n#LI-BP1\n#CA-BP\nUnless 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.\nSS&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.\n\nCalifornia: The expected base salary for the position is between 115000 USD to 130000 USD.\n\nIn 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.\n\nApplications will be accepted on an ongoing basis until the position is filled.\nSS&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, 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