What’s in it for you?

Opportunity To Unlock Your Creativity
Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old school tactics. Having a growth mindset is deeply ingrained into our company culture since day 1 so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.

Opportunity To Grow Your Career
There are plenty of jobs out there. The question is whether any of them will help you grow in your career? Will you be challenged by teammates to achieve your potential? Or are they roles that will ask you to do more of what you’ve already mastered. At Fictiv, you’ll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

Impact In This Role
Fictiv is a fast growing start-up based in San-Francisco, California - it was founded in 2013 and is revolutionising the $13 trillion manufacturing industry with a cloud-based, AI-powered platform. Fictiv’s software driven approach to manufacturing simplifies and accelerates the entire product development cycle, from prototype to production. The Fictiv Digital Manufacturing Ecosystem pairs intelligent workflow and collaboration software with a global network of highly vetted manufacturers. Fictiv’s combination of an easy-to-use cloud platform; design, quoting, billing and logistics systems; and an intelligent orchestration engine that manages our manufacturing partner network helps deliver high-quality mechanical parts at unprecedented speeds. At a time when manufacturing has become more global but remains rooted in outdated and time-intensive processes, Fictiv’s modern approach has proven to be a disruptive force in hardware manufacturing. Embraced as a trusted partner, Fictiv is transforming the way in which Silicon Valley innovators in electric and autonomous automobiles, medical robotics and consumer electronics deliver the next generation of products.

Fictiv is expanding it’s engineering team in Pune, India - we are looking for talented engineers to join us in building a highly available, performant system that scales globally with our fast-growing business.

What You’ll Be Doing

• Technical expertise – You are fluent in writing code, and possess a solid understanding of the technical domain and concepts. You have some experience in building highly available, business critical systems in cloud environments (AWS ecosystem preferred) using Node.js.
• Delivery – You consistently deliver high quality, maintainable, and defect-free code. You believe testing is an important part of creating quality software. Given an approach, you are able to deliver high quality, maintainable work (including code, tests, and documentation) without further assistance.
• Collaboration – You work well with adjacent teams and stakeholders to clarify understanding and solve problems. You proactively communicate the status of tasks and the impact on the project. You actively participate in technical design reviews and discussions.
• Team-oriented – You have a strong desire to help the team improve our collective craft. You assist in debugging production issues and handling blockers, even if you didn’t cause the problem.

Desired Traits

Your skills include -
- 3+ years of relevant experience
- Tech Stack: Node.js, JavaScript / TypeScript, GraphQL, and AWS services such as SQS, Lambdas, EC2 and RDS
- Proficiency with building backend APIs and integrations
- Experience and willingness to write unit and integration tests
- Experience developing/versioning/maintaining REST or GraphQL APIs
- Experience with SQL & No-SQL databases
- Experience with event systems such as queues, iPaaS, event buses
- Experience with distributed systems / caching / security (OWASP Top 10) is a strong plus

Interested in learning more? We look forward to hearing from you soon.

About Tracelink:

Digital information sharing is the future of medicine. TraceLink is building the first-ever cloud-based network and application platform that helps our global customers share crucial business information while collaborating on manufacturing and distributing billions of medical products worldwide.

Tracelink is looking for talented full-time software engineers to build products at one of the fastest-growing companies in the Pune area. If you’re self-motivated, intellectually curious, and motivated by designing and developing innovative products for global organizations, you could be a good fit for our team

Who you are:

Tracelink is looking for talented full-time software engineers to build products at one of the fastest-growing

companies in the Pune area. If you’re self-motivated, intellectually curious and motivated by designing and

developing innovative products for global organizations, you could be a good fit for our team.

This is an excellent opportunity to learn and/or extend your knowledge in building large-scale multi-agent systems, define effective strategies for evaluating such systems, and gain hands-on experience in creating and testing non-deterministic software components.

Responsibilities:

The Software Development Engineer in Test assists in building and executing automated tests for the Company's

software products. The SDET will build testing tools to enable automated testing of the TraceLink platform

and application.

• Build and execute tests on the Tracelink platform and application.

• Build and deploy services for automated testing of the Tracelink platform persistent store.

• Execute performance tests on a Distributed Persistent Data store

• Create testing tools that can simulate real-world transaction volumes.

• Provide high-level analysis to apply appropriate technologies and architecture to solve conceptual problems

• Stay curious, build Innovative solution to new age technical issues

• Influence designs and decision with supporting data

• Work closely with engineers building the core Tracelink product to ensure that testability concerns are factored into the design of the product.

• Extend and maintain automation frameworks to enhance Test coverage

• Prepare and present clear reports on defect findings that allow developers to reproduce problems and allow the Quality Engineering team to verify that fixes are complete quickly and accurately.

• Programmatically interface testing tools with the TraceLink platform and application.

• Work closely with engineers building the core TraceLink product to ensure that testability concerns are factored into the design of the product.

• Research and remain informed of new technology and tools, and how such technologies could be applied at Tracelink.

Qualifications:

Candidates must possess the following skills and traits:

• Bachelor's degree or foreign equivalent in computer science, software engineering, mechanical engineering, or related discipline.

• 5-8 years of progressive, post-baccalaureate experience in a test automation engineering role involving programmatic interaction with a system under test.

• Experience utilizing Java, JavaScript/TypeScript, Eclipse, Ant or Maven, Unix, and an automated unit test framework, such as TestNG.

• Experience developing against web services and Web-based APIs.

• Experience developing and executing formal test plans, data sets, and test configurations for assigned feature areas.

Helpful skills and experience:

• Familiarity with the concepts involved in running cloud-based applications on platforms such as Amazon Web Services.

•  Experience with the pharmaceutical industry.

•  Basic understanding of Large Language Models (LLMs) and generative AI systems.

•  Exposure to testing LLM-based applications, including prompt validation and response evaluation.

•  Familiarity with multi-agent LLM workflows and coordination patterns (e.g., agent orchestration, tool usage, chaining).

•  Experience designing test scenarios for AI systems, including edge cases, hallucination detection, and output consistency checks.

•  Knowledge of evaluation metrics for LLM outputs (e.g., accuracy, relevance, latency, and robustness).

•  Exposure to automation frameworks or tools for validating AI/ML model behavior.