Senior SDET automating testing, deployment, and validation for Akamai's Kubernetes - based cloud platform. Building reliable test frameworks for distributed cloud and edge services.
About the role
- Senior SDET improving quality for Replicant’s voice AI customer-service platform. Building AI-driven testing, automation frameworks, analytics, and CI/CD quality gates for scalable releases.
Responsibilities
- Act as a senior technical authority for quality engineering at Replicant
- Shape how quality is built into the platform through hands-on engineering
- Raise the technical bar across AI-enabled QA Engineers through code and test review, pairing, and mentorship
- Drive an AI-native quality engineering strategy to scale coverage, accelerate validation, and surface failures earlier
- Build AI-driven testing workflows for broad, scalable platform validation
- Own the quality feedback loop from internal dogfooding, customer A/B testing, feedback triage, and bug reporting
- Partner with Product and Engineering to improve testability, shape acceptance criteria, and build quality in from the start
- Build and improve automation frameworks, validation tooling, and CI/CD quality gates
- Use AI and analytics to expand edge-case coverage, summarize failures, and inform roadmap and release decisions
Requirements
- 5+ years in SDET or quality engineering roles
- Significant hands-on coding experience, including ownership of test strategy and release quality in complex software systems
- Strong programming skills in at least one of TypeScript, JavaScript, or Python
- Ability to build and own production-quality tooling and frameworks
- Ability to leverage AI to increase coverage, reduce manual effort, and build smarter testing workflows
- Curiosity about AI systems, conversational experiences, and testing voice-driven product behavior
- Experience building quality initiatives across teams and influencing engineers, product managers, and stakeholders
- Deep knowledge of automation, API testing, integration testing, regression strategy, and CI/CD-based quality workflows
- Demonstrated mastery of test design and risk-based coverage
- Ability to determine what should be automated versus explored manually
- Comfort using data, metrics, and analytics to evaluate quality and communicate trends, risk, and improvement opportunities
- Excellent collaboration and communication skills across Engineering, Product, and customer-facing teams
- Experience testing AI and LLM-powered systems, including non-deterministic behavior, hallucinations, prompt or workflow regressions, and generative-product quality issues (nice to have)
- Experience in an FDE, delivery, or professional services environment (nice to have)
Benefits
- Company-wide offsites and smaller team gatherings
- Conferences, books, and courses funded through a tech & learning stipend
- Remote work arrangement
- Flexible vacations
- Paid sabbatical after 5 years
- Comprehensive benefits
- Physical and mental wellness stipend
- Competitive salaries
- Equity in the company
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