Build and maintain full‑stack features for the Forge platform, integrating TypeScript/React front‑ends with backend services and data workflows to support autonomous system development.
Compensation
Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Build complete features across React interfaces, backend services, APIs, and data storage.
Translate complex technical workflows into intuitive applications with clear progress, results, and useful paths to investigate failures.
Design and evolve APIs and data models that support applications, automation, and integrations with other teams.
Contribute to a platform/application architecture directly through requirements or direct contribution.
Contribute to software that runs in a multitude of environments from local workstations, to CICD, to air‑gapped Kubernetes clusters.
Requirements
Nice to have: Kubernetes experience deploying or troubleshooting applications
Nice to have: Developer tools or technical applications for simulation, experimentation, training, test and evaluation
Nice to have: Job orchestration, distributed execution, or data‑processing workflows
Nice to have: Extensible applications, plugin systems, shared component libraries
Nice to have: AI‑assisted workflows and agent‑tool integrations
Designs and maintains continuous delivery infrastructure, ensuring reliable code deployment from development through production for all engineering teams.
Compensation
MongoDB’s base salary range for this role in Canada is: $144,000—$200,000 CAD
Responsibilities
Contribute to developing a world-class continuous deployment experience
Contribute to open-source projects or engineering software-based approaches like Kubernetes operators
Own the onboarding flow other engineering teams follow when launching a new product or service
Collaborate with other teams within Platform Engineering to ensure a consistent service-onboarding experience
Provide internal support for our deployment systems
Designs and maintains continuous delivery infrastructure, ensuring reliable code deployment from development through production for all engineering teams.
Joining the Vertical Deployment team to develop a platform that brings quantum computing closer to real-world applications, focusing on frontend development and backend services, APIs and integrations.
Responsibilities
Design, develop, test, and maintain frontend features using Vue.js and TypeScript.
Take an active role in shaping the platform's user experience, bringing creativity and design thinking.
Translate user needs and technical requirements into practical frontend solutions.
Take ownership of feature areas or related task groups, from understanding requirements and proposing solutions to implementation, testing, and deployment.
Contribute to backend development using Node.js and TypeScript, including building and integrating REST APIs and supporting services.
Requirements
Computer Science degree
related quantitative field
Nice to have: Argo Workflows
Nice to have: experience in computational, scientific, or other technically complex software platforms
Seeking a Data Scientist with a strong engineering background to design, build, train, and operationalize machine learning models that deliver measurable business impact. The role involves end-to-end work across feature engineering, model training, inference, and post-processing using cloud-native ML platforms on GCP and Kubernetes.
Locations (2)
Kochi, Kerala, India
Trivandrum, Kerala, India
Responsibilities
Develop, train, and validate machine learning models using Python.
Perform feature engineering, exploratory data analysis, and model evaluation.
Apply appropriate ML techniques for prediction, classification, or optimization use cases.
Use Argo Workflows on Kubernetes to orchestrate model inference and post-processing pipelines.
Design repeatable, automated workflows for ML experiments and production inference.
Requirements
Nice to have: Real-time or batch inference systems
Forward‑deployed engineering role focused on software integration of modular Counter‑Unmanned Aerial Systems (C‑UAS) sensors and effectors in DoD environments.
Compensation
$148,750—$201,250 USD
Responsibilities
Deploy and harden UDS Data Capability in the mission hero's environment
Own integration with existing mission systems
Build pipelines that move data through classification boundaries
Operate what you deploy and transition ownership
Generate accreditation artifacts
Requirements
Nice to have: TAK Server administration in operational environments
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