Senior Software Development Engineer in Test

17 days ago

India (city not specified)Senior

Responsibilities

Design and implement end-to-end automation frameworks and testing strategies for complex, cross-team features.
Own automation roadmaps for one or more modules, including strategic goals, execution plans, and success metrics.
Identify testability gaps and improve automation coverage, quality, efficiency, reliability, and release validation.
Build functional, performance, resiliency, security, API, backend, and distributed-system testing tools and infrastructure.
Integrate automation into CI/CD pipelines and design scalable test infrastructure for cloud-native and event-driven systems.
Use AI-assisted and LLM-powered tooling for test generation, maintenance, debugging, root-cause analysis, failure triage, and validation.
Develop autonomous quality engineering workflows, synthetic monitoring, observability-driven testing, and predictive quality analysis.
Collaborate with engineering, product, platform, QA, and TPM teams and provide technical mentorship to SDETs and engineers.

At least 6 years of experience in SDET contributions, automation engineering, and quality tooling.
Advanced proficiency in testing methodologies, automation frameworks, debugging, and distributed-system validation.
Experience building and maintaining test infrastructure across multiple platforms and services.
Strong command of algorithms, data structures, databases, and scripting languages such as SQL, Python, JavaScript, TypeScript, or Java.
Hands-on experience with CI/CD pipelines, performance engineering tools, observability platforms, and monitoring systems.
Deep expertise in API and backend testing, ideally with AWS and distributed systems such as Kafka, Kinesis, or event-driven architectures.
Experience setting up performance, load, and stress-testing infrastructure at scale.
Practical experience using AI-assisted development and automation tools, including intelligent test generation, self-healing automation, autonomous validation, and agentic QA systems.
Ability to evaluate and integrate emerging AI tooling into engineering and quality workflows.
Preferred experience with cloud-native QA automation architecture, event-driven systems, distributed test environments, observability tools, AI-powered testing platforms, autonomous QA agents, synthetic monitoring, chaos engineering, intelligent release governance, microservices, and workflow orchestration systems.

The role is part of a collaborative, cross-functional healthcare technology company focused on improving medication access and affordability.
Blink Health is an equal opportunity employer and values diversity.