Scitara Careers

Role Title: Platform Engineer (Mid / Senior / Lead)
Department: Product Engineering
Location: Mumbai / Pune (Onsite)
Reports To: Engineering Manager
Experience: 5+ years, hiring across levels. Level is set by what you can own end to end, not by years on a resume.
Employment Type: Full-time

About Scitara

Scitara is a global leader in digital transformation for scientific laboratories, enabling connectivity, automation, and data integrity across instruments, applications, and enterprise systems. Our cloud-based DLX platform is used by the world’s top pharma, biotech, life sciences, and industrial R&D labs to modernize workflows and accelerate scientific outcomes.

Lab informatics is growing 50 to 70% over the next five years, at the exact moment AI is being layered onto scientific data workflows. The software you build here decides how labs around the world adopt that wave.

Role Summary

The DLX platform is a cloud-native, event-driven system of microservices that moves scientific data between instruments, lab applications, and enterprise systems, and increasingly runs AI agents over that data. It has a web UI, but most of the engineering is not web work: it is data processing, orchestration, integration, and backend connectivity in a distributed system.

As a Platform Engineer you own features across that whole surface. One week that is a new orchestration capability in a NestJS service talking gRPC and Kafka; the next it is the React screens that expose it; the next it is an agent that acts on the data. You are a generalist by design, and you may bring a specialty on top of that.

How Engineering Works Here

We are a small team with a large product. That shapes everything:

• You deliver features, not tickets. You get a goal and the context behind it. You work out the plan, the design, the tests, and the rollout. Nobody hands you a task list.
• AI is part of the job. We use agentic coding tools every day to design, generate, test, and document. You are expected to work this way and to be a sharp reviewer of what the tools produce. You own the result, not the tool.
• We are regulated. Our customers run validated GxP environments. Data integrity, traceability, and auditability are design constraints, not a checklist at the end.
• Thinkers and doers. The people who do well here notice problems, propose fixes, get them wrong sometimes, and get them right the next time. They bring ideas back to the team instead of waiting to be told.

Key Outcomes (First 6 to 12 Months)

• Ship complete features into production: service, contract, data model, UI where needed, tests, documentation.
• Take a feature from a one-paragraph goal to a working plan and design without waiting for a task breakdown.
• Raise the quality of the services you touch: contracts, observability, test coverage, performance.
• Build or extend AI agent capabilities on the platform.
• Contribute to how the team uses agentic tooling: prompts, skills, review practices, automation.
• Senior / Lead: own the design of a platform capability end to end and set the bar for the engineers around you.

Responsibilities

• Design and build platform features across NestJS/Node.js microservices, gRPC contracts, Kafka event flows, MongoDB data models, and React UI.
• Build and integrate AI and agentic capabilities into the platform.
• Write code that meets the platform’s data integrity and validation requirements.
• Use agentic development tools as the default way of working, and review their output critically.
• Participate in design reviews, code reviews, and Agile ceremonies as a contributor, not an attendee.
• Troubleshoot production and integration issues across service boundaries.
• Senior / Lead: lead technical spikes and architecture decisions; mentor and raise engineering standards.

Must-Have

• Strong TypeScript/Node.js and working React.
• You have built something beyond request/response web APIs: event-driven services, message queues, background processing, distributed data flows. If all you have shipped is Express CRUD, this role will be a hard adjustment.
• Daily, hands-on use of AI coding tools, and the judgement to know when they are wrong.
• A track record of delivering features you were given as goals, not as task lists.
• Solid engineering fundamentals: design, testing, debugging, reading unfamiliar code.
• Git and CI/CD in a team setting.

Good-to-Have

• Our stack specifically: NestJS, gRPC, CQRS, Kafka, MongoDB, Keycloak, AWS. This is a large plus.
• Building AI agents, working with MCP servers, or integrating LLMs into products.
• Regulated software: GxP, GAMP 5, 21 CFR Part 11, data integrity.
• Lab informatics or scientific software: LIMS, ELN, CDS, instrument data.
• Docker, Kubernetes, cloud-native operations.

Success Indicators

• Features reach production without needing the plan written for you.
• The services you touch are better than you found them.
• Your use of AI tooling makes you faster and your work more thorough, and your peers pick up what you learn.
• Colleagues in product, quality, and the connectors team trust your judgement.
• Senior / Lead: platform decisions get made well when the architect is not in the room.

Why Join Scitara?

• A global team of engineers, scientists, and customers.
• Build the system that moves scientific data for the labs developing the next generation of therapies.
• Work in an engineering culture where AI-native development is the default, not an experiment.
• Real ownership: features, designs, and decisions are yours.
• Clear paths into technical leadership and architecture.

Please email your resume to careers@scitara.com

Role Title: Connectors Engineer (Mid / Senior / Lead)
Department: Product Engineering
Location: Mumbai / Pune (Onsite)
Reports To: Engineering Manager
Experience: 5+ years, hiring across levels. Level is set by what you can own end to end, not by years on a resume.
Employment Type: Full-time

About Scitara

Scitara is a global leader in digital transformation for scientific laboratories, enabling connectivity, automation, and data integrity across instruments, applications, and enterprise systems. Our cloud-based DLX platform is used by the world’s top pharma, biotech, life sciences, and industrial R&D labs to modernize workflows and accelerate scientific outcomes.

Lab informatics is growing 50 to 70% over the next five years, at the exact moment AI is being layered onto scientific data workflows. None of that works until the data gets off the instrument. That is what connectors do.

Role Summary

Connectors are how DLX reaches into the lab: chromatography systems, balances, plate readers, LIMS, ELNs, and vendor applications that were never designed to talk to anything. They are C#/.NET Windows services running on lab PCs, with no web stack. Each one is its own small project with its own surprises: a vendor SDK, a COM or OLE interface, a serial protocol, a file drop, a database nobody documented.

Because there are dozens of these projects and each one is different, this role is for a generalist who is comfortable being handed an unfamiliar system and working out how to make it reliable. A specialty in one integration style is welcome on top of that, but it will be useful on one project in fifty, so it cannot be the whole story.

How Engineering Works Here

We are a small team with a large product. That shapes everything:

• You deliver features, not tickets. You get a target system and a goal. You work out how to talk to it, what the data looks like, how to make it reliable, and how to prove it. Nobody hands you a task list.
• AI is part of the job. We use agentic coding tools every day to design, generate, test, and document. You are expected to work this way and to be a sharp reviewer of what the tools produce. You own the result, not the tool.
• We are regulated. Connectors run inside validated GxP labs. Data integrity, traceability, and auditability are design constraints, not a checklist at the end.
• Thinkers and doers. The people who do well here notice problems, propose fixes, get them wrong sometimes, and get them right the next time. They bring ideas back to the team instead of waiting to be told.

Key Outcomes (First 6 to 12 Months)

• Deliver complete connectors into customer labs: discovery, design, implementation, tests, validation evidence, documentation.
• Take a target system from “here is the vendor” to a working plan without waiting for a task breakdown.
• Improve the shared connector framework and tooling so the next connector is faster than the last.
• Use AI tooling to cut the time from vendor documentation (or its absence) to working code.
• Senior / Lead: own the connector architecture and set the bar for the engineers around you.

Responsibilities

• Design and build connectors as C#/.NET Windows services that integrate instruments and lab systems with the DLX platform.
• Work with whatever the target exposes: REST, vendor SDKs, COM/OLE, file systems, databases, serial and network protocols.
• Build for environments you do not control: locked-down lab PCs, restricted networks, machines you cannot restart at will.
• Write code that meets data integrity and validation requirements.
• Use agentic development tools as the default way of working, and review their output critically.
• Troubleshoot integration issues in customer environments using structured problem-solving.
• Participate in design reviews, code reviews, and Agile ceremonies as a contributor, not an attendee.
• Senior / Lead: lead spikes on new integration approaches; mentor and raise engineering standards.

Must-Have

• Strong C# and .NET, including long-running services (Windows Services or equivalent), not just web applications.
• You have integrated with systems you did not build and could not change, and made those integrations reliable.
• Comfortable starting from incomplete or missing documentation and working out how a system behaves.
• Daily, hands-on use of AI coding tools, and the judgement to know when they are wrong.
• A track record of delivering work you were given as goals, not as task lists.
• Solid engineering fundamentals: design, testing, debugging.
• Git and CI/CD in a team setting.

Good-to-Have

• COM/OLE, Windows API, instrument protocols (serial, GPIB, TCP/IP), or file-based integrations.
• Lab informatics or scientific instruments: LIMS, ELN, CDS, chromatography, analytical instruments.
• Regulated software: GxP, GAMP 5, 21 CFR Part 11, data integrity.
• Messaging systems (Kafka, RabbitMQ) and distributed or event-driven design.
• Exposure to the platform side: Node.js/TypeScript, cloud services, AWS.
• Building AI agents or working with MCP servers.

Success Indicators

• Connectors reach customer labs without needing the plan written for you.
• Each connector you deliver makes the next one easier.
• Your use of AI tooling makes you faster and your work more thorough, and your peers pick up what you learn.
• Colleagues in product, quality, services, and the platform team trust your judgement.
• Senior / Lead: connector decisions get made well when the architect is not in the room.

Why Join Scitara?

• Get real instruments talking to real science for the labs developing the next generation of therapies.
• Variety: every connector is a new system and a new problem.
• Work in an engineering culture where AI-native development is the default, not an experiment.
• Real ownership: designs and decisions are yours.
• Clear paths into technical leadership and architecture.

Please email your resume to careers@scitara.com

Why choose Scitara?

You’ll work in a fast-growing lab informatics market [projected to grow 50-70% over the next 5 years] at the exact moment artificial intelligence (AI) is being layered onto scientific data workflows – meaning your work directly shapes how scientific labs around the world adopt this next technological wave.

About the Role

The Solutions Architect – Americas supports the global Scitara customer team, providing leadership in uncovering customer needs and proposing solutions based on the DLX product stack. This highly visible role will utilize your expertise in laboratory and data science along with your skills in organizing and engaging potential and existing customers. You will work in collaboration with Scitara’s sales, product engineering, strategy, services, delivery, and marketing teams.

You’ll also be a hands-on translator between AI capability and scientific reality – helping customers understand not just what Scitara’s AI agents can do, but how they solve the specific data and workflow problems that surface in R&D and QC labs.

What It Takes

You’re passionate about solving the long-standing challenge of inefficient laboratory technology – and you know how to bring that passion into the room. Working closely with Scitara’s sales and partner management teams, you’ll apply your technical expertise and consulting instincts to build customer confidence in the DLX platform. You lead through process, collaborate effectively across functions, and find genuine satisfaction in helping others succeed.

To thrive in this role, you bring professionalism, exceptional verbal and written communication skills, and a disciplined approach to managing customer-driven initiatives. Above all, you earn trust through deep subject matter expertise and a leadership style that puts people at ease.

Position Duties and Responsibilities

• Architect, maintain, and deliver demo capabilities for Scitara’s AI agent and lab automation capabilities – translating agentic and automation features into concrete before/after scenarios for R&D and QC workflows, explicitly mapping each feature to an identified customer pain point.
• Work directly with the Sales teams to document and learn functional and technical requirements for customers and partners.
• Maintain a deep understanding of Scitara’s products and their applicability to scientific data integration, along with how AI can be utilized for operational and scientific improvement.
• Own customer value discovery and articulation by identifying business challenges, quantifying impact, aligning success criteria, and positioning solutions.
• Serve as a key member or trusted advisor for customers requiring a Pilot/Proof-of-Concept, including agentic AI pilots.
• Develop, maintain, and educate customers in the competitive solution landscape.
• Review or support Statements of Work to ensure alignment of customer needs with Scitara work plans.
• Collaborate with Strategy, Product, and Engineering teams to translate customer feedback – especially feedback on AI features – into product roadmap input.

Required Experience, Skills, and Education

• 10+ years’ experience in a customer-facing role in lab technology, understanding R&D and QC lab processes and data flows, with experience in lab information management systems (LIMS), electronic lab notebooks (ELNs), and Chromatography Data Systems (CDS).
• Demonstrated scientific problem-solving experience: a background in tackling real scientific problems, not just presenting technology around them. Prior role as a bench scientist, lab manager, or applications scientist strongly preferred.
• Proficient presenting/demonstrating technology solutions, including AI-driven and agent-based capabilities, to scientific and technology leaders and managers.
• Leadership experience with demonstrated cross-functional success.
• Possess an understanding of life sciences technology validation processes and deliverables.
• Excellent communication, listening, presentation, and writing skills.
• Interest in current business challenges, products, and go-to-market, especially the growing role of AI in scientific processes.
• Strong problem-solving and analytical skills.
• Strong consultative customer approach, including listening, questioning, and persuasion.
• Highly self-motivated and self-directed personality.
• Ability to work in a fast-paced, entrepreneurial, results-oriented culture.
• Proficiency in Python or JavaScript for scientific data workflow development and automation.
• Knowledge of data engineering approaches to standardize and integrate scientific data, including how AI/ML models consume and benefit from that standardized data.
• Proficiency in AWS and networking technologies. Prior AWS or other technical certifications are welcomed.
• Experience working with a CRM system (Salesforce, HubSpot, etc.).
• Bachelor’s degree or above in a scientific or computer science discipline.
• Ability to travel domestically and internationally (20-30%) as business needs require.

Location : Americas

Please email your resume to careers@scitara.com

About Scitara

Scitara is a global leader in digital transformation for scientific laboratories, enabling connectivity, automation, and data integrity across instruments, applications, and enterprise systems. Our cloud-based platform empowers the world’s top pharma, biotech, life sciences, and industrial R&D labs to modernize workflows and accelerate scientific outcomes.

Engineering at Scitara sits at the intersection of cutting-edge software + real-world science, solving complex integration and data challenges that directly impact innovation in medicine, therapeutics, and materials research. Be part of a team that takes complete ownership of the product lifecycle, from concept to delivery, and from architecture to user experience.

Role Summary

As a Software Development Engineer in Test (SDET), you will be responsible for engineering scalable, code-driven test systems that ensure the quality, reliability, and compliance of Scitara’s cloud-based informatics platform.

This is not a traditional QE role. You will write production-grade automation code, design test frameworks, validate complex backend and integration workflows, and embed quality deeply into the development lifecycle. You will operate as an engineering peer to developers, contributing to system design, CI/CD pipelines, and technical decision-making.

The ideal candidate thrives in ambiguous, fast-evolving environments, brings strong problem-solving skills, and continuously raises the quality bar through innovation and technical ownership.

Key Outcomes (First 6–12 Months)

• Design or enhance automation frameworks achieving 80%+ coverage for regression-critical paths.
• Implement API, WebSocket, backend, and UI automation integrated into CI/CD pipelines.
• Reduce manual regression effort by 40% or more through automation replacement.
• Build reusable test utilities, harnesses, and validation libraries for Node.js-based services.
• Improve automation stability to achieve <2% flaky test rate.
• Contribute to validation test coverage aligned with GxP and informatics compliance.
• Establish and evangelize SDET best practices across the engineering organization.

Responsibilities

Engineering-Driven Test Development

• Design, develop, and maintain automation frameworks using JavaScript/TypeScript.
• Write clean, maintainable, and scalable automation code following OOP principles and test design patterns.
• Build comprehensive integration and system-level test harnesses for backend services.

System, API & Integration Testing

• Automate testing of REST APIs, event-driven systems, and WebSocket-based interactions using Postman, Newman, and custom Node.js scripts.
• Validate complex workflows involving multiple services, data flows, and external integrations.
• Identify edge cases, failure scenarios, and quality risks early in the development cycle.

CI/CD & DevOps Integration

• Integrate automated test suites into CI/CD pipelines.
• Enable fast, reliable feedback loops for developers.
• Continuously improve test execution speed, reliability, and observability.

Collaboration & Quality Ownership

• Partner with developers, architects, and product teams during design, code reviews, and sprint planning.
• Participate fully in Agile ceremonies and influence quality strategy at sprint and release levels.
• Communicate technical quality risks and automation strategies clearly across teams.

Compliance & Domain Awareness

• Ensure automation and validation approaches align with data security, privacy, and GxP-regulated workflows.
• Support systematic conversion of manual validation scenarios into automated coverage.

Must-Have Skills

Strong Technical Foundation

• 6+ years of experience as an SDET, Automation Engineer, or Full-Stack QE.
• Strong coding skills in JavaScript / TypeScript with Node.js.
• Strong understanding of:
  • API testing and backend validation
  • UI Testing
  • WebSocket and asynchronous systems
  • Object-oriented design and test architecture

Learning Agility (Ability + Motivation)

• Ability to rapidly learn new systems, architectures, and tools.
• Comfortable working in an AI-forward, evolving engineering environment.
• Proactively adopts better automation techniques and tooling.

Problem Solving & Resourcefulness

• Strong debugging and root-cause analysis skills in complex distributed systems.
• Ability to design effective test strategies under real-world constraints.
• Demonstrated ownership of quality outcomes, not just test execution.

Ability to Operate in Ambiguity

• Thrives in environments with evolving requirements and incomplete documentation.
• Can independently define test scope and priorities when specifications are unclear.
• Makes sound technical trade-offs to balance speed, coverage, and reliability.

Good-to-Have Skills

• Mocha, Jest, Playwright/Cypress
• Experience with AWS, Azure, or GCP.
• Knowledge of Docker, Kubernetes, and microservices testing.
• Experience with CI/CD tooling and infrastructure automation.
• Familiarity with test management tools
• Exposure to regulated systems, data integrity, or validation testing.

Success Indicators

• High-quality, maintainable automation code treated as a core engineering asset.
• Stable, low-flakiness automated test suites.
• Faster, safer release cycles with reduced escaped defects.
• Strong trust and collaboration with developers and product teams.
• Visible impact on platform quality and engineering velocity.

Why Join Scitara?

• Build real engineering-quality systems, not just test scripts.
• Work on complex, integration-heavy platforms that power global science.
• Be part of an automation-first, AI-forward engineering culture.
• Clear growth paths into technical leadership and architecture roles.
• High ownership, autonomy, and respect as an engineering peer.

Department: Product Engineering
Location: Mumbai / Pune (Onsite)
Reports To: Engineering Manager
Experience: 6+ years (hiring across mid to lead levels)

Please email your resume to careers@scitara.com