Build and maintain scalable data pipelines, integrate security data, develop analytics and visualisations, and automate evidence collection to support Wayve’s security program.
Compensation
The reasonably estimated salary range for this role is $186,100–$243,300, plus a competitive equity package.
Responsibilities
Design, build and maintain scalable data pipelines that collect, transform and enrich security data
Integrate data from identity, cloud, engineering and security platforms to create a unified view of security posture
Build robust data models for security analytics and operational reporting
Design analytics products and visualisations for insights into security program health
Ensure data quality, lineage, reliability, observability and maintainability
Requirements
Nice to have: security frameworks TISAX ISO 27001 NIST CSF
In the role of DevOps Engineer, a typical day involves designing, constructing, and maintaining development tools and infrastructure that support continuous integration, delivery, and deployment processes. The work includes setting up automated pipelines that streamline software development and deployment, while ensuring robust security measures are integrated throughout.
Responsibilities
Be an SME, collaborate and manage the team to perform
Responsible for team decisions
Engage with multiple teams and contribute on key decisions
Provide solutions to problems for their immediate team and across multiple teams
Lead the implementation of best practices in continuous integration and deployment to enhance productivity and quality
Lead the technology‑focused integration of newly acquired companies, platforms, and digital assets, ensuring infrastructure, applications, data, and security frameworks are aligned with enterprise standards.
Responsibilities
Conduct pre‑close IT due diligence
Identify integration risks, gaps, and dependencies
Develop IT integration roadmaps
Lead consolidation or migration of systems
Coordinate network integration activities
Requirements
Bachelor’s degree in Information Technology, Computer Science, Information Systems, or related field
Nice to have: high‑growth or multi‑acquisition environments
Shape the evolution of the Media Platform, offering reusable capabilities for asset management, processing, distribution, discovery, automation and AI-enabled media workflows at global scale, taking end-to-end ownership from problem discovery through solution design and implementation.
Compensation
Due to legal requirements, we are obliged to disclose the minimum salary for this position according to the applicable collective agreement, which is €2,535 gross per month. However, our attractive compensation package is based on market-oriented salaries and is therefore significantly above the stated minimum salary. The actual salary will depend on your qualifications, experience and professional background.
Responsibilities
Shape the evolution of the Media Platform
Work across the problem and solution space, turning business and technical challenges into coherent system designs
Bring teams together and make pragmatic architectural decisions
Take end-to-end ownership from exploring a problem or opportunity through solution design and implementation
Design scalable and evolvable solutions for the Media Platform
Requirements
University degree in Computer Science, software engineering or a related field or equivalent practical experience
Design and develop scalable backend systems using Java and Spring Boot, build and maintain microservices architecture, develop and consume RESTful APIs, deploy and manage applications on cloud platforms, collaborate with cross-functional teams, optimise application performance, write clean code, participate in code reviews.
Responsibilities
Design and develop scalable backend systems using Java and Spring Boot
Build and maintain microservices architecture
Develop and consume RESTful APIs
Deploy and manage applications on cloud platforms like AWS / PCF
Collaborate with cross-functional teams (product, QA, DevOps) to deliver features end-to-end
Requirements
Nice to have: API automation testing (Rest Assured, Postman, Karate)
Nice to have: event-driven architecture (Kafka, RabbitMQ)
Nice to have: security best practices (OAuth2, JWT)
Senior Production Engineer responsible for ownership of critical tooling that drives reliability and delivery success across CoreWeave’s AI cloud platform.
Compensation
The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
Responsibilities
Take hands‑on ownership of critical systems and frameworks, driving their architecture, implementation, and long‑term evolution.
Lead end‑to‑end delivery of engineering projects that improve availability, scalability, operational automation, and failure recovery.
Build and maintain observability, alerting, automated remediation, and resilience testing for the systems you support.
Participate in incident response as a subject‑matter expert; drive deep root‑cause investigations and implement lasting fixes.
Improve runbooks, sources of truth, deployment workflows, and operational tooling to harden production readiness.
Research interns will contribute to fundamental and applied research in artificial intelligence and machine learning, developing novel algorithms, models, and systems that advance the state of the art.
Compensation
$178,200.00 - $267,400.00
Responsibilities
Conducting original research, developing novel machine learning algorithms and architectures, and designing, training, and evaluating AI models to advance the state of the art.
Developing efficient AI systems and software frameworks, including optimization for mobile, edge, and cloud platforms.
Exploring emerging computing paradigms, including hardware-software co-design, compute-in-memory, and distributed or federated learning.
Collaborating with researchers and engineers to prototype, validate, and communicate research findings, with opportunities to contribute to scientific publications and technology transfer.
Requirements
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field
Data Engineer, Security AnalyticsNewWayve · Sunnyvale, US
Team Lead, Software Development (Backend)NewLightspeed Commerce, Inc. · Berlin, Germany
Solutions EngineerNewCrogl · Remote, US
IT Acquisition Integration AnalystNewWaste Connections · The Woodlands, US
Senior Java Backend EngineerNewQuest Global · Pune, India
Platform Software Engineer - GoLang, Kubernetes (4 - 8 yrs)NewCisco · Bangalore, India
Senior Production EngineerNewCoreWeave, Inc. · Singapore
Multiple roles in Machine Learning & Deep Learning NeurIPS 2026NewQualcomm · San Diego, US