Senior Founding Engineer (INDIA)
Act as a founding engineer to build and scale the initial product. Lead technical development and architectural decisions for the company.
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Act as a founding engineer to build and scale the initial product. Lead technical development and architectural decisions for the company.
Responsible for designing, developing, and operating the CNI stack (focused on Cilium) for high-performance Kubernetes environments. Collaborates with infrastructure and network teams to ensure a stable, secure, and scalable platform through observability and troubleshooting.
Consult and implement simple and complex network architectures for customers using a wide portfolio of technologies. Support the project planning, design, implementation, and documentation of customer network environments.
Design and develop novel neural network architectures for next-generation YOLO models, focusing on backbones, necks, and heads. Translate cutting-edge research papers into production-ready open-source models through rigorous experimentation and optimization.
Support the development of AI and Machine Learning solutions, including building prototypes using Generative AI and LLMs. Responsibilities include data analysis, creating AI workflows, and collaborating with engineering and business teams.
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Design, analyze, and oversee the implementation of natural gas transmission and distribution pipeline projects, including detailed HDD planning. The role involves conducting feasibility studies, developing engineering plans, and coordinating with cross-functional teams to ensure regulatory compliance.
Design, develop, and maintain data pipelines and databases to analyze complex healthcare data sets. Collaborate with cross-functional teams to translate business requirements into analytical frameworks and visualizations.
Design, develop, and deploy custom Data and AI solutions, including LLMs and RAG, directly into client operational environments. Collaborate with business and IT teams to identify high-value use cases and ensure the long-term adoption of AI products.
Design and implement scalable Python services and AI-driven workflows within a serverless AWS architecture. Develop safety controls, policy enforcement, and behavioral monitoring for AI agents in regulated financial environments.
Design and maintain scalable ETL/ELT pipelines to extract and load data from sources like Oracle. Create and optimize data models in Snowflake and Redshift to support AI/ML solutions and business objectives.
Architect and implement scalable frontend components and libraries using modern frameworks to ensure high performance and responsiveness. Collaborate with backend, design, and product teams to translate requirements into functional, visually appealing user interfaces.
Serve as a technical liaison and trusted advisor to design cybersecurity and physical security solutions that integrate Dataminr data with client platforms. Lead product demonstrations, proof of concept efforts, and provide training to sales staff and customers.
The Principal Platform Engineer designs and redesigns broad technical infrastructure and information systems to ensure stability and scalability. They lead technical teams, develop roadmaps, and oversee the deployment of solutions to meet emerging business needs.
The role acts as a technical bridge between Data Engineering and AI Platform teams to instrument global product events and ensure alignment with Data Enablement standards. Responsibilities include writing schema extensions, coding alongside app teams for integration, and building automation tools to accelerate onboarding.
Manage high-priority production issues to resolution by troubleshooting across multiple platforms and leading cross-functional technical bridges. Responsible for incident lifecycle management, root cause analysis, and maintaining service level agreements for partners.
Set technical direction across multiple pods and lead the design and production of scalable systems for a high-GMV marketplace. Drive AI-native development standards and mentor senior engineers to improve overall engineering craft and velocity.
Architect and develop core frameworks to enhance user experience and embed generative AI capabilities into the ServiceNow platform. Lead large-scale technical initiatives, drive architectural standards for data collection, and mentor other engineers.
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Build, operate, and optimize cloud infrastructure to ensure stability, scalability, and cost-efficiency. Manage central components including compute, storage, network security, and automated infrastructure deployment.
The role involves protecting systems and data through the evaluation, implementation, and operation of security tools and monitoring mechanisms. Responsibilities include vulnerability detection, risk prioritization, automation of security processes, and advising colleagues on compliance and data protection in a healthcare context.
Design power, control, and energy systems for large-scale industrial facilities including water treatment and data centers. Responsibilities include performing ETAP simulations, creating technical specifications, and mentoring junior engineers within an EPC framework.
Design and implement technical solutions for customers using Dapr and Diagrid technologies to solve distributed system challenges. Act as the voice of the customer by providing feedback to the product team to influence feature scoping and strategic direction.
Ensure the reliability and scalability of Grafana Cloud databases for high-SLA customers through automation and proactive SLO management. Partner with product engineering squads to lead incident response, conduct post-incident reviews, and influence feature design for production operability.
Own production reliability for high-SLA Grafana Cloud database customers by designing automation and evolving reliability models. Partner with product engineering squads to reduce SLO burn and lead incident response and post-incident reviews.
The role focuses on increasing the reliability of Grafana Cloud databases by partnering with product engineering squads to own production reliability for high-SLA customers. Key duties include designing automation to scale reliability practices, defining SLOs, and leading incident response and post-incident reviews.
Own production reliability for high-SLA Grafana Cloud database customers by designing automation and evolving reliability models. Partner with product engineering squads to reduce SLO burn and lead incident response and post-incident reviews.
Lead the design, planning, and execution of aviation and airfield projects while managing budgets, schedules, and technical documentation. Coordinate with the FAA and project sponsors to ensure compliance and successful project close-out.
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Act as the link between development and IT operations to automate and optimize build, test, and deployment processes. Develop and maintain the container platform and infrastructure as code to ensure stable and reproducible roll-outs.
Integrate automated security checks into build and deployment processes to ensure security by design. Manage secrets, identity and access management, and harden container infrastructure while meeting healthcare compliance and data protection standards.
As a Lead Cloud Engineer, you will lead the implementation and operationalization of cloud solutions, ensuring high-quality delivery throughout the project lifecycle. You will also design, deploy, and manage scalable cloud infrastructure to support business and application requirements.
Design, deploy, and manage scalable cloud and hybrid infrastructure with a focus on automation, reliability, and security. Implement observability solutions and maintain CI/CD pipelines to ensure high availability and efficient software delivery.
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