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Were looking for a Senior Software Engineer with a passion for solving tough technical challenges, working across the stack, and building systems that matter. This is your opportunity to work on an advanced, real-world product involving computer vision, edge computing, and scalable cloud architecture.
🚀 What Youll Do:
Design and implement robust, scalable components across the software stack.
Take end-to-end ownership of complex featuresfrom concept to deployment.
Collaborate with product managers, system engineers, and AI researchers to build integrated solutions.
Contribute to a high-performance platform that combines real-time sensor data, video analytics, and cloud services.
Build and maintain CI/CD pipelines and automated test frameworks.
Lead with qualitywriting clean, testable code and applying TDD principles.
Mentor teammates, share knowledge, and help set best practices across the team.

Required Staff MLOps Engineer
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Realize your potential by joining the leading performance-driven advertising company!
As a Staff MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Staff MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

Required Senior Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

At our company, were reinventing DevOps and MLOps to help the worlds greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production - a concept we call liquid software. Wouldn't it be amazing if you could join us in our journey?
Are you a platform engineer who thrives on designing and building scalable, high-quality services and infrastructure?Do you want to work on cutting-edge services while shaping the backbone of an ML platform? If so, wed love to have you join our company's ML our MLOps group.
As a Senior Platform Engineer, you will play a critical role in architecting and developing cloud based core services and infrastructure with a strong emphasis on clean code, performance, observability, monitoring, and security. This role also includes developing core Go/Java libraries, cross-cutting services like authentication and authorization, Kubernetes deployments, billing etc.You will collaborate closely with engineering teams, DevOps, architects, and product managers to ensure a scalable, stable, and high-performing system.
As a Platform Engineer at our company's ML you will...
Write clean, maintainable, and efficient code following best practices.
Design and develop robust backend services with scalability, performance, and security in mind.
Conduct high-quality code reviews and architecture discussions, ensuring best practices are followed.
Take full ownership of projects - from ideation and design to production deployment and maintenance.
Collaborate with cross-functional teams to define, design, and ship new features.
Stay current with industry trends, technologies, and best practices in software development and cybersecurity.
Be involved in multiple aspects of an ML platform - from data sources to inference pipelines.

We are seeking an Experienced Senior Backend Engineer to join our high-performing SaaS Security team.
Born from a successful cybersecurity startup acquisition, we operate as a dynamic team within a larger organization, driven by innovation and a passion for building cutting-edge security solutions.
We leverage a modern technology stack, including Go, GCP, Kubernetes, Postgres, Kafka, Temporal, and Prometheus, to deliver robust and scalable solutions that help organizations secure their SaaS ecosystems.
In this role, you will play a leadership position, driving the technical direction of our platform while mentoring developers, leading critical tasks, and fostering a collaborative and high-performing engineering culture.
If youre an experienced engineer who thrives in a leadership role and enjoys mentoring, problem-solving, and building highly scalable security solutions, wed love to hear from you!
Key Responsibilities
Lead the development of a new SaaS security platform to detect malicious activities.
Design and implement scalable, high-performance backend services.
Mentor and guide team members, fostering growth and technical excellence.
Integrate with major SaaS providers (Google Workspace, GitHub, Microsoft, Slack, etc.) via APIs, scraping, and other techniques.
Build and optimize a large-scale backend system that extracts, monitors, and alerts on security issues.
Drive architectural decisions and contribute to best practices in scalability, reliability, and observability.

We are making the future of Mobility come to life starting today.
At our company we support the worlds largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization.
At the heart of our platform lies the data infrastructure, driving advanced machine learning models and optimization algorithms. As the owner of data pipelines, you'll tackle diverse challenges spanning optimization, prediction, modeling, inference, transportation, and mapping.
As a Senior Data Engineer, you will play a key role in owning and scaling the backend data infrastructure that powers our platformsupporting real-time optimization, advanced analytics, and machine learning applications.
What You'll Do
Design, implement, and maintain robust, scalable data pipelines for batch and real-time processing using Spark, and other modern tools.
Own the backend data infrastructure, including ingestion, transformation, validation, and orchestration of large-scale datasets.
Leverage Google Cloud Platform (GCP) services to architect and operate scalable, secure, and cost-effective data solutions across the pipeline lifecycle.
Develop and optimize ETL/ELT workflows across multiple environments to support internal applications, analytics, and machine learning workflows.
Build and maintain data marts and data models with a focus on performance, data quality, and long-term maintainability.
Collaborate with cross-functional teams including development teams, product managers, and external stakeholders to understand and translate data requirements into scalable solutions.
Help drive architectural decisions around distributed data processing, pipeline reliability, and scalability.

we're looking for a visionary Security Architect to play a pivotal role in designing and implementing robust security solutions across our infrastructure and applications.
If you have a passion for building secure-by-design systems, a deep understanding of both infrastructure and application security principles, and the ability to translate complex requirements into actionable blueprints, we want to hear from you. You'll be instrumental in shaping security landscape, ensuring our platform remains a trusted and secure environment for our global users.
What You'll Be Doing:
This is a hands-on position. You need to love writing Python, working with APIs, and codifying infrastructure. Lead the architectural design and implementation of security solutions for cloud infrastructure, network, and applications.
Get your "hands dirty", fearlessly working on our most complex and risky problems involving production systems and networks.
Constantly push optimizations and best practices. Define and maintain security standards, frameworks, and best practices across the organization.
Collaborate closely with engineering, product, and operations teams to integrate security seamlessly into the development lifecycle and infrastructure deployments.
Evaluate and recommend security technologies and tools to enhance security posture.
Develop security reference architectures and patterns to guide engineering teams in building secure solutions.
Participate in threat modeling and risk assessment activities to proactively identify and mitigate potential security threats.
Provide expert guidance and mentorship to engineering teams on security-related topics.
Stay current with the latest security trends, threats, and technologies, and translate them into actionable strategies .

Design, develop, and maintain complex, scalable, and high-performance systems with a focus on writing clean, efficient, and maintainable code.

Collaborate with cross-functional teams, including product managers and architects, to implement technical solutions aligned with business objectives.

Provide input on architectural design and participate in technical planning to ensure long-term maintainability and compliance with standards.

Identify and troubleshoot production issues, conducting root cause analysis and implementing fixes to ensure system reliability.

Contribute to code reviews and technical discussions, sharing knowledge and fostering a culture of collaboration and continuous improvement.

we are seeking a Senior Engineer for Cloud Security Product Group.
Were extending mission of stopping breaches into the public cloud and cloud-native workloads. product offering will give customers the ability to monitor and track their cloud-native workloads as well as hardening and protecting them against attacks prior to deployment. This offering will help with defending against potential adversary activities involving cloud-native resources. When coupled with Falcon, endpoint security offering, our CSPG offering will provide a more comprehensive perspective on how the adversary is targeting key customer infrastructure. Our ultimate goal is to provide a single platform for securing the entire lifecycle of cloud workloads and cloud security posture.
What You'll Do:
Lead backend engineering efforts from rapid prototypes to large-scale applications across products
Leverage and build cloud-based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale
Brainstorm, define and build collaboratively with members across multiple teams
Work in a startup-like environment with a small fast-moving team
Be mentored and mentor other developers on backend, and data storage technologies and our system
Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability
Be given the autonomy to own your work in a high trust environment

We are seeking a visionary Director of Engineering with a strong product mindset to lead the strategy, development, and scaling of our internal platform for Engineering, and our cloud infrastructure capabilities for SaaS customers. As a Director of Engineering, you will lead teams working on two major areas: a developer-centric platform that provides the tools, automation, and infrastructure needed to seamlessly develop, deploy, and operate services in production, and cloud infrastructure capabilities for SaaS customers, including customer-facing infrastructure and management features that enhance integration, security, and reliability, ensuring a robust experience for our companys SaaS customers.
As a Director of Engineering at our company's, you will...
Define and drive the vision, strategy, and roadmap for the internal platform for Engineering, ensuring alignment with SaaS business goals.
Build, lead, and mentor multiple cross-functional teams of developers and DevOps to deliver a scalable and reliable platform.
Foster a culture of collaboration, automation, and continuous improvement within the engineering organization.
Architect and deliver a self-service, developer-centric platform that simplifies development, SaaS management and production operations.
Provide observability solutions to improve system reliability and visibility of our SaaS products and operations.
Partner with engineering leaders, product teams, and business stakeholders to ensure platform capabilities align with SaaS growth and reliability goals.
Stay ahead of industry trends in Platform Engineering, DevOps, and cloud-native technologies to continuously evolve the platform.