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 sales 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

• Be proficient in all aspects of the Software Development Life Cycle.
• Lead projects all the way from design to deployment while co-ordinating with other teams in the company.
• Guide the adoption of new processes or technical tools by conducting evaluations of alternatives and thinking critically about the fit with our future technical direction.
• Provide oversight for technical quality, standards, and guidelines.
• Be the technical anchor for the team, demonstrate leadership and play a key role in guiding the team.
• Mentor and provide training for other technical team members.
• Contribute ideas to improve team performance, technical processes, best practices in all aspects of software development.

Area Of Responsibility

• Interface with Product owners and Stakeholders to understand & clarify requirements
• Author technical documents that will fulfill Fictiv's current requirements and scale for future business goals as well.
• Implement high quality, scalable solutions following best practices, including configuration and code.
• Deploy solutions and code using automated deployment tools
• Take ownership of technical deliverables, ensure that quality work is completed, fully tested, delivered on time.
• Conduct code reviews, optimization, and refactoring to minimize technical debt within Salesforce implementations.
• Collaborate with cross-functional teams to integrate Salesforce with other systems and platforms, ensuring seamless data flow and system interoperability.
• Identify opportunities for process improvements, mentor and support other developers/team members as needed.
• Stay updated on new Salesforce features and functionalities and provide recommendations for process improvements.
• Debug production issues; minimize impact to the business, create plans to fully address/correct/remove temporary solutions once the immediate urgent issue is resolved.

Desired Traits

• 8-10 years of experience in Salesforce development
• Proven experience in developing Salesforce solutions with a deep understanding of Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Have worked in Salesforce CPQ, Sales, Manufacturing, Service, Data Cloud.
• Experienced in designing and implementing custom solutions that align with business needs.
• Strong knowledge of Salesforce data modeling, reporting, and database design.
• Demonstrated experience in building and maintaining integrations between Salesforce and external applications.
• Strong unit testing, functional testing and debugging skills
• Strong understanding of best practices.
• Active Salesforce Certifications are desirable.
• Experience in Mulesoft is a plus
• Excellent problem solving, decision-making and critical thinking skills.
• Excellent communication skills and the ability to translate complex technical requirements into actionable solutions.
• Collaborative, a team player.
• Exhibit initiative, integrity and empathy.
• Enjoy working with a diverse group of people in multiple regions.
• Comfortable not knowing answers, but resourceful and able to resolve issues.
• Self-starter; comfortable with ambiguity, asking questions and constantly learning.
• Customer service mentality; advocates for another person's point of view.
• Methodical and thorough in written documentation and communication.
• Culture oriented; wants to work with people rather than in isolation.

Overview of Role

As a Cloud & Edge Engineer at 66degrees, you will bridge the gap between centralized cloud power and localized edge intelligence. You will design, build, and maintain complex infrastructure on Google Cloud Platform (GCP) and Google Distributed Cloud (GDC) for global clients, with a specific focus on Manufacturing Edge environments. You will be instrumental in optimizing performance, scalability, and security from the data center to the factory floor.

Responsibilities

• Core Responsibilities

• Infrastructure Leadership: Design and deploy highly scalable, resilient infrastructure solutions using GCP and GDC.

• Advanced Automation: Drive the implementation of Infrastructure as Code (IaC) using Terraform or Google Cloud Deployment Manager to automate intricate provisioning across cloud and edge.

• Edge & Manufacturing Excellence: Implement and support Manufacturing Edge Connect use cases, ensuring seamless integration between industrial hardware and the cloud.

• Data Architecture: Develop and maintain Data Hub architectures for centralized data ingestion, processing, and analytics.

• DevOps & CI/CD: Spearhead the integration of DevOps methodologies, guiding developers to establish sophisticated CI/CD pipelines.

• Security & Compliance: Enforce stringent security measures and ensure robust compliance (GDPR, HIPAA, CIS) across distributed environments.

• Monitoring & Resilience: Establish comprehensive monitoring, alerting, and logging; formulate disaster recovery procedures for mission-critical systems.

• Cross-Functional Collaboration: Partner with data scientists, industrial engineers, and software developers to deliver end-to-end solutions that align with complex business requirements.

Qualifications

• 1. Cloud & Edge Expertise

  • 4+ years of hands-on experience with GCP, showcasing expertise in designing, deploying, and managing cloud-based infrastructure.

  • Direct experience with Google Distributed Cloud (GDC) and deploying solutions in edge/industrial environments.

  • Proficiency in Kubernetes (GKE) and container orchestration at scale.

  2. Data & Networking

  • Data Services: Skilled in optimizing BigQuery, Cloud SQL, Dataflow, Firestore, Bigtable, Dataproc, and Pub/Sub.

  • Edge Integration: Proven ability to integrate edge systems with cloud platforms ensuring secure, low-latency, and scalable data flow.

  • Networking: Strong understanding of hybrid connectivity, VPCs, and secure edge-to-cloud networking.

  3. Automation & Scripting

  • Expertise in Terraform or similar IaC tools.

  • Proficiency in Python or Bash for automation and configuration management.

  • Comfortable managing both Linux and Windows operating systems.

  4. Soft Skills & Education

  • Problem-Solving: Ability to diagnose and resolve intricate infrastructure bottlenecks under pressure.

  • Communication: Excellent ability to translate complex technical concepts for diverse stakeholders.

  • Education: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

  • Certifications: GCP Professional Cloud Architect or Associate Cloud Engineer (Highly Preferred).

Impact In This Role

At Fictiv, we enable product innovators to create. Our platform accelerates product creation, allowing our customers to push technological boundaries – from self-driving cars to low-cost water purification systems.

We're looking for a Integration Engineer to connect our SaaS applications using the latest integration technology and support team members in their day-to-day technical as well as career development needs. You will learn how the entire business operates and use your expertise to drive operational efficiency and enable sales growth. As a Senior Integration Engineer, you will set the example in best practices and nurture a culture of thriving. 

Areas of Responsibility (Job Description)

• Develop integrations between enterprise SaaS system such as Salesforce, NetSuite, Marketo, and JIRA
• Understand business requirements and translate into reusable, scalable, and secure technical solutions
• Work closely with software development teams to document and deliver solutions in a timely manner
• Ensure robust solutions with Munit and end-to-end testing
• Measure and forecast vCore capacity requirements for new and existing integrations as data volume scales
• Provide meaningful expertise on technical design patterns and business processes
• Provide technical direction and engineering leadership for a team of engineers
• Contribute to the design and development of new products and features
• Ensure that engineering standards are followed
• Maintain product quality
• Drive operational excellence, and help monitor and help remediate issues in production

Desired Traits, Qualifications, Education and Experience Equivalency

• Mulesoft Certified Developer & Developer II - Good to have
• 5-7 years of hands-on experience developing end-to-end API integrations with Mulesoft, with at least 2 years in a leadership role
• Deep understanding of Mulesoft API-led connectivity, integration best practices and engineering principles. 
• Familiarity with CRM, ERP, and Finance systems such as Salesforce and Netsuite
• Strong understanding of relational databases and fluency with SQL
• Desire and ability to mentor and guide other engineers
• Strong technical and problem-solving skills
• Excellent communication and interpersonal skills

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
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

The Data Intelligence team creates reports and dashboards to provide meaningful insights from the data warehouse. This team works closely with cross-functional stakeholders and leverages multiple Business Intelligence (BI) technologies to enable data-driven decision-making across the organization.
As a Senior Data Engineer on the Data Intelligence team, you will play a key role in designing, managing, and evolving Fictiv’s reporting data warehouse and semantic layer. You will partner closely with the Data Intelligence Manager, Data Engineers, Data Analysts, and Product Managers to ensure replicated data from production systems is transformed into scalable, trusted semantic data models that power consistent, accurate self-service reporting. Acting as a bridge between business and technology, you will translate analytical requirements into well-structured data models and transformations that enable reliable dashboards and insights across multiple domains.
In addition, you will collaborate with Infrastructure, Software, and Systems Engineering teams to strengthen database design and query efficiency across the broader data ecosystem. You will provide hands-on guidance on optimal table structures, indexing and clustering approaches, and SQL query patterns that improve performance and scalability. By proactively identifying bottlenecks and recommending architectural and modeling improvements, you will help ensure that both analytical and operational workloads are efficient, maintainable, and aligned with best practices.
This is a hands-on role responsible for leading the design, transformation, implementation, and operation of data solutions across disparate source systems—driving best practices in data modeling, semantic layer design, performance optimization, documentation, and governance. You will plan, design, and operate data pipelines and models using Agile methodologies to deliver high-quality, maintainable, and secure data assets

You will report to the Data Analytics Manager.

What You’ll Be Doing

• Design efficient, scalable, and maintainable semantic data models that align with business logic and enable intuitive self-service analytics and reporting across multiple domains.
  
• Build, maintain, and optimize data transformations and pipelines that transform replicated production data into trusted, analytics-ready models.
  
• Collaborate with stakeholders across data, engineering, product, and business teams to resolve data-related issues, clarify requirements, and align on solution design.
  
• Provide technical leadership and guidance to Software Engineers and Data Engineers on query performance, optimization techniques, and efficient data access patterns.
  
• Drive ongoing improvement of database and table structures, partnering with engineers to validate and refine table design, joins, partitioning/clustering, and other performance-related considerations.
  
• Review and advise on SQL query design for both application and analytics use cases, helping teams design queries that are performant, maintainable, and cost-effective.
  
• Analyze performance metrics and execution plans to identify bottlenecks in data models, queries, and transformations, and recommend practical tuning and refactoring opportunities.
  
• Follow and contribute to SQL coding standards, data modeling best practices, change control procedures, and data warehouse governance processes.
  
• Develop and maintain data flow diagrams, data dictionaries, and schema documentation with a focus on clarity, consistency, and enterprise data management.
  
• Understand and document end-to-end data flows and dependencies from production systems through the ELT pipeline into Snowflake and downstream BI tools, supporting delivery, release, and change management.
  
• Execute and lead data design sessions and technical reviews to gather requirements, validate modeling approaches, and communicate design decisions and trade-offs to stakeholders.
  
• Research emerging technologies, patterns, and tools related to Snowflake, dbt, SQL optimization, and semantic modeling, and recommend enhancements to Fictiv’s data platform and practices.
  
• Help set broad direction and vision for the reporting data platform architecture, influencing data engineering, analytics, and application data design strategy.
  
• Partner with internal and external teams for knowledge transfer and smooth handoff in advance of new feature launches or reporting changes.
  
• Work effectively with remote and cross-functional teams across time zones, fostering strong communication and collaboration.
  
• Proven experience working with large and complex datasets and comfort writing advanced SQL queries or leveraging BI tools for analysis and transformation.
  
• Deep understanding of data and analytics architecture, including data warehousing concepts, semantic data modeling, and data integration best practices, with a strong focus on Snowflake and ELT pipelines.
  
• Strong knowledge of SQL and BI concepts, including dimensional modeling, data warehouse design, and dashboarding; ability to translate analytical needs into robust semantic models.
  
• Demonstrated ability to guide and influence database and schema optimization, including improving query performance, advising on efficient access patterns, and ensuring well-structured data that support scalable workloads.
  
• Experience mentoring and guiding Data Engineers and Software Engineers to develop robust, scalable, and maintainable data models, queries, and database structures.
  
• Ability to design and maintain data transformation and workload management processes, including job orchestration, dependency handling, scheduling, and metadata management.
  
• Excellent analytical skills and experience working with both structured and semi-structured data, from exploration through to production-ready models.
  
• Ability to evaluate new tools, database features, and methodologies relative to the existing data stack and propose detailed, pragmatic recommendations for improvement.
  
• Strong ability to perform root cause analysis on data quality, performance, and process issues to identify inefficiencies, ensure data integrity, and deliver actionable insights.
  
• Clear and effective communicator—capable of providing business context for engineers and technical context for non-engineers, especially around trade-offs in model and schema design.
  
• Confident presenting to audiences with mixed levels of technical understanding and experience, including walkthroughs of models, schemas, and query patterns.
  
• Curious, resourceful, and adaptable; comfortable navigating ambiguity, learning new technologies (e.g., new Snowflake/dbt features), and evolving processes to improve outcomes.

Desired Traits

• B.S. in Data Science, Computer Science, Information Systems, or a related field.
  
• 15+ years of experience as a Data Engineer, designing and maintaining large-scale data systems, building scalable data models, and delivering analytical solutions through modern BI and data pipeline tools.
  
• 10+ years of experience working with modern cloud and on-premise database platforms—such as Snowflake, AWS Redshift, Azure Synapse, Google BigQuery, or traditional RDBMS systems (e.g., PostgreSQL, MySQL, SQL Server, Oracle)—with a strong focus on schema design, query performance, execution plan analysis, and scalable data access patterns, rather than day-to-day operational administration.
  
• 8+ years of experience developing and maintaining data transformation workflows using dbt or a similar tool, with expertise in model design, testing, documentation, environment management, deployment automation, and enforcing version control and development best practices.
  
• Demonstrated expertise working with complex datasets and advanced SQL, including multi-level CTEs, window functions, and recursive queries, with an emphasis on performance and readability.
  
• Experience with BI platforms such as Heap, Sigma Computing, or similar technologies (e.g., Tableau, Looker, or QuickSight), and how they interact with warehouse models.
  
• Strong knowledge of BI and analytical concepts, including regressions, recursion, sliding window functions, financial metrics, marketing funnel metrics, and logistics and fulfillment analytics.
  
• Experience building and maintaining processes that support data transformation, data structures, metadata management, dependency handling, and workload optimization in a modern ELT/warehouse environment.
  
• Proven ability to lead and coordinate cross-functional initiatives, including partnering with Software Engineers to refine schemas and queries, conducting interviews, and performing analyses to develop business cases for projects and improvements.
  
• Experience delivering training sessions and technical enablement for internal and external stakeholders, especially around data models, schemas, and query best practices during system and process rollouts.
  
• Excellent communication and collaboration skills, with the ability to translate complex technical concepts (e.g., query plans, indexing/clustering trade-offs, modeling decisions) for non-technical audiences.
  
• Demonstrated leadership and mentoring abilities, fostering technical excellence and knowledge sharing across data and engineering teams, particularly in areas of semantic modeling, SQL craftsmanship, and performance optimization.

Perks and Benefits

• Medicliam
• Annual Paid holidays
• Gratuity
• Provident Fund 
  And much, much more!

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

Impact In This Role

At Fictiv, we enable product innovators to create. Our platform accelerates product creation, allowing our customers to push technological boundaries – from self-driving cars to low-cost water purification systems.

We're looking for a Senior Integration Engineer to connect our SaaS applications using the latest integration technology and support team members in their day-to-day technical as well as career development needs. You will learn how the entire business operates and use your expertise to drive operational efficiency and enable sales growth. As a Senior Integration Engineer, you will set the example in best practices and nurture a culture of thriving. 

Areas of Responsibility (Job Description)

• Develop integrations between enterprise SaaS system such as Salesforce, NetSuite, Marketo, and JIRA
• Understand business requirements and translate into reusable, scalable, and secure technical solutions
• Work closely with software development teams to document and deliver solutions in a timely manner
• Ensure robust solutions with Munit and end-to-end testing
• Measure and forecast vCore capacity requirements for new and existing integrations as data volume scales
• Provide meaningful expertise on technical design patterns and business processes
• Provide technical direction and engineering leadership for a team of engineers
• Contribute to the design and development of new products and features
• Ensure that engineering standards are followed
• Maintain product quality
• Drive operational excellence, and help monitor and help remediate issues in production

Desired Traits, Qualifications, Education and Experience Equivalency

• Mulesoft Certified Developer & Developer II - Required
• Mulesoft Certified Platform Architect - Level 1 - Desired but not required
• 7-9 years of hands-on experience developing end-to-end API integrations with Mulesoft, with at least 2 years in a leadership role
• Deep understanding of Mulesoft API-led connectivity, integration best practices and engineering principles. 
• Familiarity with CRM, ERP, and Finance systems such as Salesforce and Netsuite
• Strong understanding of relational databases and fluency with SQL
• Desire and ability to mentor and guide other engineers
• Strong technical and problem-solving skills
• Excellent communication and interpersonal skills

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
 At Fictiv, you'll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

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.

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
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

Excellent problem solving, decision-making and critical thinking skills.
Collaborative, a team player.
Excellent verbal and written communication skills.
Exhibits initiative, integrity and empathy.
Enjoy working with a diverse group of people in multiple regions.
Comfortable not knowing answers, but resourceful and able to resolve issues.
Self-starter; comfortable with ambiguity, asking questions and constantly learning.
Customer service mentality; advocates for another person's point of view.
Methodical and thorough in written documentation and communication.
Culture oriented; wants to work with people rather than in isolation.

You will report to the Director of IT Engineering

What You’ll Be Doing

• Interface with Business Analysts and Stakeholders to understand & clarify requirements
• Develop technical design for solutions Development
  
• Implement high quality, scalable solutions following best practices, including configuration and code.
  
• Deploy solutions and code using automated deployment tools
  
• Take ownership of technical deliverables, ensure that quality work is completed, fully tested, delivered on time.
  
• Conduct code reviews, optimization, and refactoring to minimize technical debt within Salesforce implementations.
  
• Collaborate with cross-functional teams to integrate Salesforce with other systems and platforms, ensuring seamless data flow and system interoperability.
  
• Identify opportunities for process improvements, mentor and support other developers/team members as needed.
  
• Stay updated on new Salesforce features and functionalities and provide recommendations for process improvements.

Desired Traits

• 5-6 years of experience in Salesforce development
  
• Proven experience in developing Salesforce solutions with a deep understanding of Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
  
• Have worked in Salesforce CPQ, Sales/Manufacturing Cloud, Case Management
  
• Experienced in designing and implementing custom solutions that align with business needs.
  
• Strong knowledge of Salesforce data modeling, reporting, and database design.
  
• Demonstrated experience in building and maintaining integrations between Salesforce and external applications.
  
• Strong unit testing, functional testing and debugging skills
  
• Strong understanding of best practices
  
• Active Salesforce Certifications are desirable.
  
• Experience in Mulesoft is a plus
  
• Excellent communication skills and the ability to translate complex technical requirements into actionable solutions.

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
We are a small engineering team taking the next step in evolving our systems and infrastructure. As a QA Automation engineer, you will play a pivotal role in our company’s product development process to ensure overall product quality through test automation. If you enjoy providing end-to-end solutions to software quality problems and taking the lead in designing and implementing automated tests that not only elevate product delivery standards but dramatically increase our ability to release quality software quicker and more often, we’d like to meet you.

You will report to QA Lead

What You’ll Be Doing

As a Software Developer in Test, you will be responsible for automating and maintaining end-to-end integration tests.

• Work with QA Engineers to identify workflows as automation candidates and build out test scripts.

• Work with other members of the automation team to create integration tests using Cypress and Playwright.

• Perform code reviews for other team members, concentrating on maintaining team standards and best practices.

• Serve as a first point of contact to engineering teams, helping to answer questions about tests and providing automation guidance.

• Monitor and maintain the current library of integration tests, diagnosing and reporting failures to the responsible engineering teams.

Desired traitsPreferred Experience/ Minimum Qualifications

• Bachelor’s degree in Computer Science or related field

• Test Automation Experience: 6-8 years automation experience. At least 2-4 years working with Cypress and/or Playwright.

• You are experienced in writing automation tests in Cypress/javascript. You know the best way to use Cypress and how to avoid its pitfalls and determine best practices.

• You can write tests that operate the system via the UI as well as through backend api calls and understand when each strategy should be applied.

• You are an advocate for high-quality, reusable code, concentrating on creating functionality that can be reused across multiple tests.

• You have experience in an Agile development environment.

• You are an effective communicator, able to explain Cypress and automation to people unfamiliar with either.

• You can work collaboratively with a diverse group of people who have strong opinions. You can understand different perspectives while remaining an effective advocate for software quality.

• You are comfortable working independently, taking an assigned task and determining how best to implement it.

• You have experience working with AWS and ERP systems

Preferred Experience / Additional Qualifications

• Hands-on experience in performance testing using tools such as JMeter, LoadRunner, or K6 will be a strong advantage.

• Exposure to enterprise platforms like Salesforce, Arena, or NetSuite is highly desirable.

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.

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.

• Execute tests on the TraceLink platform and application.

• Extend and maintain automation frameworks.

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

• Verify defect fixes.

• Build tooling for automated testing of the TraceLink platform and application.

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

• Create testing tools that can be configured and used by non-developers and can simulate real-world transaction volumes involving potentially millions of transactions per day.

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

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

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

Qualifications :

Candidates must possess the following skills and traits:

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

• 2-5 years of progressive, post-baccalaureate experience in a test automation engineering role involving programmatic interaction with a system under test.

• 2-5 years of experience utilizing Java, JavaScript/TypeScript, Eclipse, Ant or Maven, Unix, and an automated unit test framework, such as TestNG.

• 2-5 years of experience developing against web services and Web-based APIs.

• 2-5 years of experience developing and executing formal test plans, data sets, and test configurations for assigned feature areas

• 2-5 years of experience testing web-based enterprise-class business applications.Helpful skills and experience:

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.

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.

About the Role

We are looking for an early-career Agentic AI Engineer to help build and evolve AI-powered systems that automate and improve supply chain workflows. In this role, you’ll work alongside experienced engineers and data scientists to develop agentic AI / GenAI features, integrate knowledge-based retrieval (RAG) patterns, and contribute to testing and validation approaches for AI systems that can behave in non-deterministic ways.

This is a strong opportunity for someone who is eager to grow in both software engineering and applied GenAI, and wants to work on real-world enterprise problems in supply chain and (optionally) life sciences.

Key Responsibilities

• Support the design and implementation of agentic AI / GenAI systems that assist in automating supply chain workflows.

• Build and maintain backend services and integrations using Python and/or Java.

• Contribute to multi-agent workflows, such as tool execution, routing, agent collaboration patterns, and task orchestration.

• Assist in creating testing and validation strategies for AI systems, including evaluation datasets, regression testing, and behavior monitoring.

• Help implement and improve knowledge base systems, including RAG pipelines, grounding strategies, and retrieval quality improvements.

• Contribute to experimentation with:

  • lightweight fine-tuning approaches for small language models (SLMs)

  • reinforcement-learning-inspired improvement loops for NLP/GenAI tasks (where applicable)

• Partner with product and domain teams to understand supply chain needs and translate them into working software.

• Participate in code reviews, documentation, and operational support to ensure high-quality production systems.

Required Qualifications

• Master’s/Bachelors degree in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or a closely related discipline.

• 0–2 years of professional experience in software engineering, AI engineering, or ML engineering (internships and co-ops count) OR equivalent experience

• Strong programming skills in Python and/or Java, including writing production-quality code.

• Familiarity with cloud platforms such as AWS, GCP, or Azure (academic, personal, or internship experience is acceptable).

• Interest or exposure to Generative AI concepts, such as LLMs, agent workflows, tool calling, or multi-step reasoning.

• Understanding of core engineering fundamentals:

  • APIs and services

  • basic distributed systems concepts

  • debugging and performance basics

  • data structures & algorithms

• Ability to learn quickly, take feedback well, and collaborate effectively in a team environment.

Preferred Qualifications

• Coursework, projects, or hands-on experience with agentic or multi-step AI systems, including non-deterministic behavior patterns.

• Exposure to designing knowledge base solutions, such as:

  • Retrieval-Augmented Generation (RAG)

  • embedding-based search

  • hybrid search approaches

  • reranking or relevance evaluation

• Experience or academic background in one of the following:

  • fine-tuning small language models (SLMs)

  • training or adapting NLP models

  • Reinforcement learning concepts applied to language systems

• Exposure to event-driven or reactive systems

• Interest in supply chain domains (logistics, manufacturing, procurement, etc.).

• Knowledge of the life sciences supply chain is a plus, but not required.

What Success Looks Like

• You can take a defined task (e.g., building a new RAG retriever, improving evaluation coverage, or implementing a new agent tool) and deliver a working solution with support from senior engineers.

• You write clean, testable code and steadily improve your ability to debug real-world production issues.

• You contribute to AI system reliability through experiments, evaluation improvements, and thoughtful engineering.

Who You Are

• Curious, motivated, and excited to build AI-driven products that ship to real users.

• Comfortable working with a mix of predictable engineering tasks and emerging AI workflows.

• Strong team player with a growth mindset and a willingness to learn.