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SmartBear emphasizes quality in software development across the SDLC with products like Swagger, BugSnag, and Zephyr, all enhanced by SmartBear AI, and is trusted by over 16 million developers at 32,000+ organizations including Adobe, JetBlue, FedEx, and Microsoft. The company is leading the productionization of Generative AI throughout the lifecycle, integrating AI into existing products such as QMetry, Reflect, and Swagger to automate workflows and accelerate growth. The role involves building new and ongoing products and services, including an MCP framework with Agentic AI, focusing on API Design/Management, Testing, and Observability, while rapidly validating new use cases and maintaining a strong end-user product experience from design to production. Candidates should have 4+ years of Python experience with MCP, Flask/FastAPI, agentic frameworks (LangGraph/LangChain), Docker, AWS, and GitHub, plus expertise in HTTP/REST, vector/NoSQL databases, full-stack work with REST backends and TypeScript/JavaScript frontends, and strong communication in English. Why join: opportunities for growth, a collaborative and inclusive culture, a People and Culture focus, global offices and awards, and a commitment to ethical practices and social responsibility.

SmartBear offers AI-infused QA and SDLC solutions (Swagger, BugSnag, Zephyr) used by over 16 million developers across more than 32,000 organizations, including Adobe, JetBlue, FedEx, and Microsoft. They are leading the productionization of Generative AI throughout the software development lifecycle, integrating AI into products like QMetry, Reflect, and Swagger, with free trials available for interested users. The Junior Software Engineer role focuses on building and maintaining new and ongoing products—including an MCP framework with Agentic AI—across API Design/Management, Testing, and Observability, with a strong emphasis on end-user experience and iterative improvements, plus code reviews and timely delivery. Required skills include 2-4 years of Python experience (Flask/FastAPI), familiarity with LLM/agent systems, Docker and AWS, GitHub, solid understanding of HTTP/REST APIs, and knowledge of NoSQL or vector databases as a plus, along with full-stack capabilities using TypeScript/JavaScript. SmartBear emphasizes career growth, a people-first, inclusive culture, global offices, awards, and equal opportunity employment, guided by values of being smart, open, driven, accountable, and curious.

SmartBear emphasizes that quality drives software and offers AI-infused solutions across API Design (Swagger), Observability (BugSnag), and Testing (Zephyr), trusted by over 16 million developers at more than 32,000 organizations. The company is leading the productionization of Generative AI throughout the software development lifecycle, beginning with integrations into QMetry, Reflect, and Swagger to enhance user workflows. The Junior Software Engineer role focuses on building new products and services, including an MCP framework with Agentic AI offerings, validating new use cases, ensuring a strong user experience, conducting code reviews, delivering on time, and iterating post-production. Required skills include 2-4 years of Python with Flask or FastAPI, interest in LLM/agent systems, Docker and AWS experience, GitHub, solid API knowledge, and exposure to NoSQL or vector databases, with full-stack capability using TypeScript/JavaScript. SmartBear highlights opportunities for career growth, an inclusive, people-centric culture, global offices, awards, and equal opportunity employment aligned with its values of being smart, open, driven, accountable, and curious.

SmartBear offers software quality solutions through its hubs—API Hub, Insight Hub, and Test Hub—with HaloAI, providing visibility and automation to help teams deliver high-quality software faster, and is trusted by over 16 million developers at 32,000+ organizations including Adobe, JetBlue, FedEx, and Microsoft. They are seeking a Digital Customer Success Program Lead to design, launch, and own SmartBear’s scaled-engagement strategy globally, setting the digital CS vision, building repeatable customer journeys, and operationalizing automation to improve adoption, retention, and product value realization at scale. Key responsibilities include defining the global digital CS strategy and roadmap across onboarding, adoption, renewal, and expansion; architecting digital journeys from product usage data and lifecycle insights; developing scalable assets (onboarding paths, lifecycle emails, webinars, modules, in-app engagement); deploying and optimizing the CSP with automation, health scoring, and analytics; and ensuring data flows between CSP, CRM, and product analytics while collaborating with Product, Marketing, Sales, and Support. Qualifications include 8+ years in SaaS CS or Digital Engagement, experience designing and scaling digital or tech-touch CS programs, strong Salesforce and Amplitude expertise, CSP implementation and automation experience, ability to translate usage signals into automated journeys, and excellent analytical and stakeholder skills; preferred skills include BI tools, developer-focused products, journey mapping, segmentation strategies, experiments, renewal/expansion knowledge, health modeling, and global-team experience. What they offer: the opportunity to lead SmartBear’s digital CS transformation with high visibility and influence, autonomy to design programs that impact adoption and value realization, and competitive compensation and benefits.

SmartBear offers complete visibility tools—TestComplete, Swagger, Cucumber, ReadyAPI, and Zephyr—used by over 16 million developers at more than 32,000 organizations, including Adobe, JetBlue, FedEx, and Microsoft. The company seeks a Senior Talent Acquisition Partner (hybrid role based in Ahmedabad) to drive growth by recruiting top talent aligned with SmartBear’s values. You will partner with hiring managers, manage high-volume pipelines for global roles, oversee end-to-end recruitment, conduct multi-channel outreach, assess candidates, and ensure an exceptional candidate experience while using data to inform decisions. Requirements include 8+ years in high-volume recruitment, a proven track record of meeting hiring metrics, strong communication and relationship skills, experience with ATS and sourcing via Greenhouse, Naukri, and LinkedIn, and an interest in applying AI to recruiting. Why join: opportunities for career growth, a holistic People & Culture approach, commitment to inclusion and diversity, global offices, and recognition as an equal opportunity employer.