Design, build, and operate tools and platforms that improve the end-to-end Hivemind developer experience
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Design, build, and operate tools and platforms that improve the end-to-end Hivemind developer experience
Advance local development workflows, devcontainers, internal developer platforms, project templates, and other reusable engineering capabilities
Bring agentic AI capabilities into developer tools and workflows, evaluating opportunities and turning promising ideas into reliable, practical solutions
Partner with engineering teams to understand developer needs, identify recurring friction, and create paved paths that improve productivity without limiting appropriate flexibility
Enable co-development and inner-source collaboration through accessible tooling, documentation, standards, and contribution practices
Requirements
Nice to have: leading technically complex cross-team initiatives
Nice to have: building or operating internal developer platforms
Own and operate the data platform end to end, ensuring reliability, defining metrics, and providing technical leadership for the DGX Cloud program.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
Responsibilities
Own and operate the data platform end to end, including the pipelines that ingest, transform, and serve operational data to leadership and partner teams.
Ensure the reliability of those pipelines by setting and meeting targets for uptime, data freshness, and quality, and by leading incident response, root cause analysis, and prevention work.
Define, instrument, and report on operational success metrics such as SLIs/SLOs, pipeline latency, and data completeness, and use them to drive prioritization and continuous improvement.
Partner with customer teams to understand their data needs, translate those needs into platform capabilities and schemas, and set clear expectations for support and delivery.
Provide technical leadership by setting engineering standards, reviewing designs and code, mentoring engineers, and driving the platform roadmap.
Requirements
BS in Computer Science, Engineering, or a related field, or equivalent experience.
Lead Platform Engineer responsible for platform infrastructure, standards, and internal developer platform for Euronext Corporate Solutions.
Responsibilities
Creation and implementation of systems that optimize software development and infrastructure management.
Define, govern, and promote enterprise-wide platform standards, engineering best practices, CI/CD frameworks, and reusable platform capabilities to improve productivity, consistency, security, and time-to-market.
Own and evolve the Internal Developer Platform (IDP) strategy, Golden Paths, engineering guardrails, and self-service capabilities to enable scalable and secure software delivery across all product teams.
Provide innovative solutions to enable standardization, improved productivity, efficiency, and time-to-market.
Develop and maintain platform engineering documentation, standards, reference architectures, and operational procedures.
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field.
Own and operate the data platform end to end, ensuring reliability, uptime, and data quality while leading incident response and driving continuous improvement.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
Responsibilities
Own and operate the data platform end to end, including the pipelines that ingest, transform, and serve operational data to leadership and partner teams.
Ensure the reliability of those pipelines by setting and meeting targets for uptime, data freshness, and quality, and by leading incident response, root cause analysis, and prevention work.
Define, instrument, and report on operational success metrics such as SLIs/SLOs, pipeline latency, and data completeness, and use them to drive prioritization and continuous improvement.
Partner with customer teams to understand their data needs, translate those needs into platform capabilities and schemas, and set clear expectations for support and delivery.
Provide technical leadership by setting engineering standards, reviewing designs and code, mentoring engineers, and driving the platform roadmap.
Requirements
BS in Computer Science, Engineering, or a related field, or equivalent experience.
Lead the evolution, maturity and strategic adoption of DevOps practices within the organization, designing advanced automation and platform solutions, guiding teams, mentoring, and driving cloud and security initiatives.
Responsibilities
Design and lead advanced DevOps and cloud architecture solutions for critical digital products
Guide implementation, standardization and continuous improvement of IaC and advanced automation
Lead DevSecOps practices incorporating security throughout the software lifecycle
Lead FinOps initiatives and cost-effective cloud infrastructure optimization
Lead the strategic evolution and operation of the Internal Developer Platform (IDP) based on Platform Engineering
Requirements
Professional in Software Engineering and Communications or Systems Engineering, Telematics and Informatics
Build and maintain backend services for AI-driven agentic platform, ensuring scalability, reliability, and performance.
Compensation
The pay range for this position is between $100,000 - 160,000 plus Incentive Bonus. Starting salary may vary based on a number of factors including, but not limited to, the position being offered, location, education, training, and/or experience.
Responsibilities
Collaborate with product managers, data scientists, and other engineers to build and refine APIs, orchestration logic, and data pipelines for AI agents
Own architecture and implementation of highly scalable and reliable backend services managing lifecycle and execution of asynchronous agentic tasks
Educate other engineering teams and advocate for scalable and maintainable architectural decisions
Senior DevOps Engineer responsible for building and evolving cloud platforms, designing and operating reliable infrastructure, advancing CI/CD, and strengthening observability and reliability across AWS and Azure.
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