About the Opportunity

Candidates must be located in the eastern time zone

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports corporate-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven Security Engineer with experience working in cloud-native product infrastructure and corporate environments. In this role, you will manage daily alerts and operations while leading broader collaborative initiatives, such as architecture design, threat modeling, and vulnerability identification, to drive meaningful security improvements. Candidates should be skilled in cloud-native technologies, with demonstrable proficiency in infrastructure-as-code and application development.

This hands-on role offers an opportunity to grow your expertise in cloud technologies and security tooling while making a meaningful impact by embedding security practices and supporting secure third-party integrations in a fast-paced software-as-a-service environment.

What to Expect

• Lead initiatives and partner with teams to embed practical security safeguards and champion a security-first mindset across the business.
• Lead security assessments and remediation for cloud-native applications, infrastructure, and vendor integrations to proactively identify and address risk.
• Support vulnerability management by identifying, tracking, and partnering with teams to drive remediation of security issues across product and corporate environments.
• Develop and maintain security solutions through custom development and effective tool management to enhance efficiency and operational effectiveness.
• Leverage industry standards to develop hardening requirements and monitoring mechanisms that enforce and strengthen the security of systems and environments.
• Advance the development, customization, and maintenance of hardening standards and monitoring mechanisms for systems and environments.
• Drive security and monitoring enhancements to containerized workloads and orchestration platforms.
• Participate actively in incident investigations through independent analysis, contributing to findings, root cause analysis, and remediation efforts.
• Collaborate in defining and monitoring evolving security compliance and regulatory requirements.
• Research and evaluate emerging threats, vulnerabilities, and security technologies to keep defenses up to date.

What You Need to Be Successful

• 4+ years of security engineering, DevSecOps, or equivalent experience.
• Hands-on expertise with AWS architecture, services, and security features.
• Proficiency in Python to build and maintain security tools.
• Familiarity with Kubernetes and container security, including configuration and runtime protection.
• Exposure to JavaScript and Go with the ability to perform security code reviews.
• Experience using Terraform to build, deploy, and maintain infrastructure as code.
• Strong foundational networking knowledge covering cloud networking concepts, the OSI model, TCP/IP, and routing fundamentals.
• Demonstrable ability to embed security considerations throughout the software development lifecycle.
• Hands-on involvement supporting vulnerability management and incident response functions.
• Familiarity with authentication and authorization protocols and mechanisms (OAuth, SAML, JWT, IAM)
• Experience identifying and mitigating OWASP Top 10 vulnerabilities in web applications and APIs.
• Clear and effective communication skills.
• Ability to articulate security risks and tradeoffs to both technical and semi-technical audiences.
• A proactive, growth-oriented mindset focused on continuous learning, innovation, and raising security standards.
• Passionate about designing and performing hands-on implementation work.
• Ability to work in a fast-paced environment, often juggling multiple projects.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

What we are looking for

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.

We're searching for a Staff Client Platform Engineer to join our Enterprise Site Reliability (SRE) team to lead the management of our enterprise Windows, Mac, and Ubuntu clients. The team is responsible for designing, implementing, and maintaining scalable and secure client device infrastructure. They also automate device deployment, configuration, and management processes.

This role will contribute to delivering the benefits of self-driving by leading the development of tailored client device solutions that address Aurora-wide and team-specific requirements for software and hardware development and manufacturing.

In this role you will

• Guide the approach and execution of the Client Platform Engineering Team
• Plan, design, and implement scalable solutions to manage Aurora's physical and virtual client platforms (Macs, Windows, Ubuntu) to ensure they receive security patches, configuration, and software package updates
• Partner with IT Support, InfoSec, and Developer Experience on strategy and implementation of client platform management solutions
• Handle escalations from IT Support, with an emphasis on mentoring and empowering IT Support to address similar problems
• Participate in the Enterprise SRE 24/7 on-call rotation

Required qualifications

• Experience of at least 8 years in Client Platform engineering and at least 3 years in leading engineering solutions (design to implementation) at scale.
• Expertise with client device lifecycle management, including experience across multiple client operating systems and various hardware platforms.
• Experience with MacOS, Windows, and Linux system administration.
• Experience deploying configuration management tools such as Intune, Kandji, Puppet, Ansible, or Chef.
• Experience with automation and tool development, preferably using Powershell, Go, or Python.
• Strong change management skills, including rollout planning and communication, and collaborating with stakeholders.
• Understanding of client endpoint security concepts and experience applying security hardening to client devices, such as CIS Benchmarks.
• Outstanding written and verbal communication skills that drive executional impact at scale. 
• Experience with automating testing for imaging, provisioning, and configuration management.

Desirable qualifications

• Experience working within cloud environments such as AWS, GCP, or Azure.
• Experience in environments deploying containerized workflows, using tools such as Docker or Kubernetes.
• Familiarity with SRE concepts such as SLIs, SLOs, SLAs, incident response, and best practices and partnering with teams on them.
• Experience with Infrastructure as Code (IaC) tools such as Terraform, Pulumi, or CloudFormation

The base salary range for this position is  $163,000 - $236,500 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

THE ROLE:

Are you passionate about driving innovation in the cyber resilience space? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer within a Pod model for an emerging business positioned for high growth

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Delight customers and teammates with your technical leadership and domain expertise in Disaster Recovery and Cyber Resilience, storage products, and competitive offerings in the DR and Cyber Resilience product spaces
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Take control of evaluations, benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise software, SaaS, storage, or cloud to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered Cyber Resilience and Disaster Recovery solutions
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Working knowledge of applications relevant for DR/Cyber Recovery including Active Directory, DNS, Layer 2/3 networking
• Working knowledge of VMware (vCenter, ESX, virtualized storage and networking)
• Working knowledge of AWS (EC2, EBS), Azure, GCP, containers, k8s and microservices architectures a plus
• Strong focus on understanding how to speed up PoCs to move pipeline opportunities from validation to late-stage/deal close
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Excellent verbal and written interpersonal skills

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THE ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. 

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

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Mission Summary:

As a Staff Engineer within the Platform Engineering team, you will be a hands-on technical leader driving the evolution of Motional's global cloud and hybrid infrastructure. Operating as a senior individual contributor, you'll tackle our hardest platform problems directly — designing systems, creating code, and setting technical direction for initiatives that span multiple teams. Your work will help transform our R&D environment into a hardened, cost-efficient, and scalable commercial backbone, and ensure our internal platforms deliver the developer velocity required for rapid AV deployment.

What you'll be doing:

• Design and build major components of our cloud architecture — including networking, storage, compute abstraction layers. You'll own the technical design end-to-end and create code where it matters most
• Drive technical evolution of our Kubernetes-based developer platform. Identify the highest-leverage improvements to scalability, cost attribution, access control, and developer ergonomics — then design and implement them to reduce configuration complexity and accelerate engineering velocity
• Raise the reliability bar across Platform Engineering. Define and implement standards for SLIs, SLOs, observability, and failover, and partner with peer teams to roll them out across platform-layer services
• Drive FinOps practices — cost visibility, attribution, accountability as well as optimization recommendations
• Design and ship AI-native developer experiences by integrating LLM-powered tooling into CI, build systems, monitoring platforms, and local development workflows to remove friction and boost engineering throughput
  
  

What we're looking for:

• Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience)
• 9 years in Software or Infrastructure Engineering, with significant experience in a senior IC capacity
• Deep, expert-level knowledge of Kubernetes internals and ecosystem (Operators (Crossplane, ArgoWorkflow/Airflow, KubeRay), Kubecost/OpenCost, Service Mesh, GitOps and other CNCF projects)
• Proven track record of designing or migrating complex workloads between on-prem data centers and major cloud providers (AWS, GCP, other)
• Experience with Infrastructure-as-Code (Terraform/CloudFormation, Terraform Cloud/Spacelift/Atlantis) and advanced observability tooling (OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, Datadog)
• Expert in architecting AI-driven operations, leveraging LLMs and agentic workflows to automate incident response, predictive scaling, and intelligent system observability
• Demonstrated ability to influence technical roadmaps across an entire engineering organization and mentor senior technical staff
  
  

Bonus points (not required):

• Proven expertise in CI/CD orchestration, build systems (Bazel, RBE), frameworks
• Prior experience with large-scale machine learning training pipelines
• Experience leading technical projects in a globally distributed team
• Open-source contributions to Kubernetes, observability, or infrastructure tooling ecosystems

Senior DevOps Engineer

This position plays a critical role in developing and maintaining Minitab's infrastructure and deployment pipelines. It requires a solid technical foundation, a proactive approach to problem solving, and the ability to thrive in a fast-paced, collaborative environment. This is a unique
opportunity to contribute to Minitab's ongoing success and help shape the future of global, data driven decision-making through the adoption of innovative technologies

Responsibilities Summary:

Design and Enhance Infrastructure and Deployment Pipelines
Design, plan, implement, document, and deliver advanced CI/CD pipelines and infrastructure solutions in a team setting with a high degree of independence and autonomy, achieving high standards of quality, maintainability, scalability, and security. Advocate for and contribute to the development and maintenance of automated infrastructure provisioning to support continuous testing and development environments. Utilize various tools and techniques to troubleshoot, resolve, and prevent complex infrastructure issues.

Strategic Problem Solving and Infrastructure Support
Contribute regularly to the ongoing support of production infrastructure to maintain high reliability and performance. Lead technical efforts to investigate incidents and resolve complex issues in production systems, including updates to settings, permissions, and components of various systems. Ensure timely and effective responses to urgent infrastructure issues as part of on-call rotations, minimizing service disruptions and supporting system reliability. Participate in root cause analyses, debrief activities, and follow-up actions to prevent issue recurrence. Document and maintain procedures for handling change requests and incident responses to streamline future support efforts.

Communication and Collaboration
Communicate effectively with team members and stakeholders to ensure alignment of objectives, priorities and risks. Provide thoughtful, thorough, and timely code reviews for work within your team’s scope as well as in your own areas of technical expertise or ownership.

Software Delivery Planning and Execution
Contribute to the successful delivery of software development projects in collaboration with cross functional team members through high-quality planning and execution. This includes developing work backlogs for medium to large features or projects that facilitate prioritized incremental and iterative delivery of customer value, achieving consistent and predictable velocity, and effectively managing competing priorities and risks to successful delivery through effective communication and proactive mitigation.

Technical Leadership
Provide technical leadership and expertise across one or more product features, technologies, and/or systems. This includes acting as a subject matter expert and resource for peers, contributing to technical designs in collaboration with senior technical leaders, and seeking opportunities for knowledge sharing through documentation or activities such as brown bags or tech talks. Additionally, act as a mentor for junior teammates as needed.

Continuous Learning and Development
Maintain a strong individual commitment to continuous learning and growth, while actively supporting the development of your team and peers. Proactively seek opportunities to acquire new skills and share knowledge by mentoring, teaching, or collaborating with others to help foster a culture of learning.

Qualifications:

• 5+ years of progressive experience in DevOps, software development, or a related field.
• Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
• In-depth knowledge of infrastructure as code, containerization, and cloud platforms (e.g., Azure, AWS).
• Proficiency in configuration management tools and scripting languages (e.g., Python, Bash).
• Strong experience with container orchestration (e.g., Kubernetes) and deployment automation tools.
• Proven ability to mentor team members and lead technical projects.
• Proficiency required in speaking, reading, and writing English.

Our Benefits:

HEALTH INSURANCE:  Medical, Dental, and Vision Insurance is provided at no cost for full-time employees upon date of hire. Low co-pay pharmacy benefit and affordable family coverage plan is available. Short and Long Term Disability is fully paid by Minitab. Employee Assistance Program (EAP) - Provides guidance for personal issue and information on other Work Life Matters.

LIFE INSURANCE:  Group Term Life Insurance is provided at no cost for full-time employees at three times employee base salary. Minitab provides eligible employees the opportunity to purchase Voluntary Life Insurance for themselves and eligible dependents at affordable rates.

RETIREMENT PLANNING:  A 401k Retirement Plan with T. Rowe Price is provided with eligible employee contribution immediately. Minitab will match dollar for dollar up to the first 6% of employee’s contribution. Employees are fully vested in the Minitab, LLC 401(k) Retirement Plan upon date of hire.

PAID TIME OFF:  Paid holidays, as well as 4 weeks of annual paid time off are provided. The annual paid time off increases one week every five years.

HIGHER AND PROFESSIONAL DEVELOPMENT:  The pursuit of ongoing development is important and valued at Minitab. In support of this value, Minitab offers tuition and related expenses assistance for both higher education and other professional development.

FLEXIBLE SPENDING ACCOUNT:  Medical and Dependent Care Reimbursement Accounts - Pre-tax Deductions. Parking and Transit - Pre-Tax Deductions.

HYBRID WORK SCHEDULE:  We offer a hybrid work model for eligible positions.

PREMIUM BENEFITS:  At our State College, PA Headquarters, there is an onsite gym, indoor swimming pool, yoga studio, movie theater, outdoor sand volleyball court, game room, arcade room and even a golf simulator. Personal training and nutrition counseling is available upon request.

This position is ineligible for visa sponsorship. 

To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.

This is an onsite position at our State College, PA headquarters and candidates must live within commutable distance to State College, PA. Remote work is not an option for this position.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.  

Job application remains open until filled.

DevOps Engineer

Position Overview

Minitab is seeking a skilled and motivated DevOps Engineer to play a key role in developing and maintaining our infrastructure and deployment pipelines. This role requires strong technical expertise, excellent problem-solving abilities, and the capacity to thrive in a fast-paced, collaborative team environment.

As a DevOps Engineer at Minitab, you will have the opportunity to make meaningful contributions to our global technology ecosystem, supporting the tools and platforms that enable data-driven decision making for businesses worldwide. You will help shape the future of Minitab’s software delivery processes, infrastructure reliability, and overall engineering excellence.

Key Responsibilities

Develop & Maintain Infrastructure and Deployment Pipelines

• Design, implement, and manage CI/CD pipelines to ensure seamless and efficient software delivery.
• Automate infrastructure provisioning and configuration management.
• Help manage and maintain development and production infrastructure, ensuring environments are stable, scalable, secure, and suitable for continuous testing and delivery.
• Participate in an on-call rotation to address urgent infrastructure issues and support system reliability.

Change Requests & Infrastructure Support

• Manage requests across systems and environments, including updates to settings, permissions, and components.
• Provide timely support for infrastructure-related issues to minimize disruption and improve service quality.
• Maintain documentation and procedures for request handling and issue resolution to ensure consistency and operational efficiency.

Communication & Collaboration

• Communicate progress and status of assigned work in accordance with team and company practices.
• Participate in code reviews, seeking and incorporating feedback from teammates, reviewers, and domain experts.
• Collaborate with cross-functional teams to meet shared goals and deliverables on schedule.

Continuous Learning & Development

• Stay current with new technologies, trends, and best practices in the DevOps field.
• Actively explore emerging tools and methodologies to drive continuous process improvement.
• Apply new knowledge to enhance infrastructure performance, scalability, security, and efficiency.

Core Competencies (Korn Ferry Framework)

• Tech Savvy: Anticipates and adopts emerging technologies and digital innovations.
• Action Oriented: Tackles challenges with urgency, enthusiasm, and high energy.
• Collaborates: Builds strong partnerships and works effectively with others.
• Manages Complexity: Breaks down complex problems using critical thinking and structured approaches.
• Nimble Learning: Experiments, learns quickly, and uses successes and failures as growth opportunities.
• Communicates Effectively: Adjusts communication style to meet the needs of diverse audiences.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field; or equivalent practical experience.
• Understanding of infrastructure as code, CI/CD pipelines, and cloud platforms (e.g., Azure, AWS).
• Proficiency with scripting languages and configuration management tools.
• Experience with containerization (e.g., Docker) and orchestration technologies (e.g., Kubernetes).
• Ability to speak, read, write, and comprehend English.

This is an onsite position at our State College, PA headquarters and candidates must be within commutable distance of State College, PA for consideration. Remote work is not an option for this position. 

This position is ineligible for visa sponsorship. 

To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.  

Mission:

We are seeking a highly skilled and motivated Principal Engineer, Technical Lead to lead our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and leadership, with experience in developing and deploying advanced data analysis and large scale orchestration frameworks.

At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. 

The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI’s. The team works together with all other perception and ML teams to develop the metrics and analyze results.

What You'll Do: 

• Lead a team of engineers with a diverse skill set to deliver critical software supporting the development of the autonomous vehicle ML models and software.
• Drive innovation by researching and developing new large scale data warehousing and analysis.
• Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
• Build high-quality datasets to improve ML products through training & edge case validation.
• Provide statistical depth on model performance & generalization through rigorous error and change analysis.
• Provide technical leadership and mentorship to the team, fostering a culture of collaboration and continuous improvement.
• Manage project timelines, resources, and deliverables to ensure successful project execution.

What We're Looking For:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Excellent leadership, communication, and problem-solving skills.
• Proven record leading a small diverse dedicated team supporting a large user base.
• Experience in machine learning, data mining, and statistical analysis.
• Proven experience in developing and deploying large scale cloud frameworks.
• Strong programming skills in Python.
• Experience with large-scale data processing and distributed computing technologies.
  
  

Bonus Points:

• Ph.D. in Computer Science or a related field.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with machine learning in the autonomous driving domain.
• Publications or contributions to the AI/ML community.

Mission:

We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and statistical analysis. 

At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. 

The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI’s. The team works together with all other perception and ML teams to develop the metrics and analyze results.

What You'll Do:

• Work with ML Engineers and Autonomy Software Developers to develop new data analysis metrics and KPI’s for the validation of the autonomous vehicle performance.
• Drive innovation by researching and developing new large scale data analysis systems.
• Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
• Build high-quality datasets to improve ML products through training & edge case validation.
• Provide statistical depth on model performance & generalization through rigorous error and change analysis.

What We're Looking For:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, SciPy, and related data analysis frameworks.
• Experience in machine learning, data mining, and statistical analysis.
• Experience with large-scale data processing and distributed computing technologies.
• Strong communication and software development skills: goal setting, design documentation, test frameworks, collaborative cross team development.
  
  

Bonus Points:

• Ph.D. in Computer Science or a related field.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with machine learning in the autonomous driving domain.
• Publications or contributions to the AI/ML community.

About the Role:

We are looking for experienced Mid-level (Full Stack, Backend, Frontend) Engineers passionate about building an excellent user experience up and down the layers of an application. The ideal candidate has contributed to features on at least one sizable production application using modern frameworks within the past year. An experienced Mid-level Engineer at Perpay will spend their time writing code, reviewing PRs, and helping scope & design new features. We value Engineers who demonstrate excitement around solving tough problems and delivering solutions in a fast-paced environment.

We aim for our Engineering team to be a place that Mid-level Engineers can push our quick-growing startup forward, and grow into future Senior Engineers and Engineering leaders. The significant projects and initiatives available to our Mid-level Engineers provide opportunities to expand experience, ownership, and business value.

Much of our team is full stack, so we look for team members excited to learn new technologies and work across all stacks, even if it’s not something you’ve done before! Our tech stack: Javascript, Typscript, React, React Native, Python, Django, Flask, Kubernetes, AWS, Docker and more.

Our greatest strength is our people and we’d love for you to be one of them!

Responsibilities:

• Collaborate closely with the development team, including UX designers, product managers, and other Engineers, to implement solutions that meet business needs and provide the best user experience
• Work with stakeholders to design, build, test, and release new features for our platform
• Write clean, efficient, and maintainable code. Break down code contributions into reviewable, shippable chunks
• Contribute to the Engineering design process by bringing forward tradeoffs and opinions
• Identify opportunities to reduce technical debt and implement changes to improve developer experience and team velocity
• Participate independently in on-call rotation and coordinate incident response

What You’ll Bring:

• Minimum of 2 years experience as a Software Engineer (excluding internships or coop experiences) with a focus on full stack development
• Strong proficiency in at least one backend application framework such as Django or Flask and experience with frontend technologies such as React, Angular, or Vue.js
• Proven experience building, deploying and maintaining scalable web applications, with knowledge of database design and management
• Knowledge of RESTful API design and integration
• Experience working with cloud infrastructure and containerization technologies such as AWS, Docker, and Kubernetes is preferred
• Passion for learning new technologies and keeping up with industry trends
• Ability to collaborate with cross-functional teams, including UX designers, product managers, and other Engineers
• Strong communication skills and ability to articulate technical concepts to non-technical stakeholders

Hey, we know not everybody checks all the boxes, so if you’re interested, please apply because you could be just what we’re looking for!

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. 

The journey to developing our cutting-edge self-driving truck Driver software requires a massive and continuous computational effort. Every day, Aurora's engineers initiate and manage millions of compute tasks, systematically processing and analyzing petabytes of critical data. This colossal computational workload spans various essential domains, including raw and derived data processing pipelines, large-scale simulations to test and validate the software in countless scenarios, and the intensive machine learning training jobs that are the core of our autonomous system's intelligence.

At the heart of orchestrating this monumental compute infrastructure is the Compute team. This team is dedicated to building and maintaining the foundational technology that solves the fundamental challenges of resource scheduling, task isolation, and distributed state consistency across our massive batch compute fleet. At our scale, traditional off-the-shelf orchestrators break. The Compute team builds the custom engine - BatchAPI - that manages the lifecycle of millions of tasks - built on top of K8s primitives but implements our own custom scheduler.

We deal with the 'unsolved' problems of distributed computing: maximizing hardware utilization while ensuring that a failure in one node doesn't cascade across the entire cluster. This engine is engineered to handle massive scale, ensuring reliability, efficiency, and rapid turnaround for our engineers.

Furthermore, the Compute team empowers engineers across the company to effectively harness this compute power. They develop and maintain the Batch Workflows Python SDK. This framework provides an intuitive, high-level interface that allows engineers to programmatically define, construct, deploy, monitor, and manage their complex computational workloads. The SDK abstracts away the complexities of the underlying infrastructure, enabling engineers to focus purely on the logic and goals of their data processing, simulation, or training tasks, thus accelerating the entire development cycle for the Aurora Driver.

In this role you will

• Design, implement, and maintain core components of the high-performance, large-scale distributed batch compute engine (BatchAPI). Architect and optimize the scheduler, resource allocator, and execution engine of BatchAPI to handle bursty, heterogeneous workloads with minimal overhead.
• Design low-latency APIs and resilient communication protocols that bridge our Python SDK with the Golang-based core engine.
• Develop high-level workflow abstractions, enabling engineers across the company to programmatically define, deploy, and manage complex data processing, simulation, and ML training pipelines. 
• Solve complex problems in distributed locking, throttling, and fair-share scheduling to ensure multi-tenant stability.
• Drive continuous improvements in the performance, scalability, and resilience of the entire compute infrastructure, implementing robust monitoring and alerting systems to maintain operational excellence for critical workflows.
• Collaborate closely with infrastructure and product engineering teams (e.g., Autonomy, Data, Simulation, Machine Learning) to gather requirements, provide expert consultation, and integrate compute workflows with key company systems.

Required qualifications

• 5+ years of professional software engineering experience.
• Deep expertise in Golang (for core systems) and Python (for SDK/API layering).
• Strong understanding of distributed systems fundamentals (e.g., CAP theorem, consensus algorithms, or gossip protocols).
• Experience with performance profiling and tuning (e.g., memory management, I/O bottlenecks, or network latency optimization).
• Specialized knowledge of container orchestration systems like Kubernetes.
• Proven track record of driving continuous performance, scalability, and resilience improvements in production environments managing critical data.
• Familiarity with cloud provider compute and data services (e.g., AWS EKS, S3, RDS).

Desirable qualifications

• Experience working with computational workloads specific to the autonomous vehicle, robotics, or large-scale machine learning domains (e.g., data processing for perception, simulation, or model training).
• Demonstrated ability in creating and refining user-facing tools, including adeptness at incorporating user feedback, managing expectations, and effectively prioritizing development based on user needs.
• Web UI development experience (Typescript, React)

 #LI- #Mid-Senior 

The base salary range for this position is  $146,000 - $234,000 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

About the Role:

We are looking for senior backend engineers passionate about backend technology, excellent user experience and system reliability. The ideal candidate has helped lead the technical design and implementation of backend features on at least one sizable production application within the past year. A senior backend engineer at Perpay will spend their time writing code, reviewing PRs, mentoring engineers, and helping scope & design new features. We are looking for people who can bring backend technical expertise to push our technology forward — whether it’s hosting a lunch-and-learn on a new backend technology or directing a large refactor. We value engineers who demonstrate excitement around solving tough problems and delivering solutions in a fast-paced environment.

Much of our team is fullstack, so we look for team members excited to learn new technologies and work across all stacks, even if it’s not something you’ve done before! Our tech stack: Javascript, React, React Native, Redux, Python, Django, Flask, Kubernetes, AWS, Docker and more.

Our greatest strength is our people and we’d love for you to be one of them!

Responsibilities:

• Design and evolve RESTful APIs used by our frontend and internal systems
• Own data modeling decisions across our relational databases with an eye toward performance and maintainability
• Improve reliability, observability, and operational excellence of our backend systems (metrics, logging, tracing, alerting)
• Participate in architectural decisions around service boundaries, asynchronous workflows, and distributed system tradeoffs
• Diagnose and resolve production issues across multiple services
• Contribute to infrastructure-as-code and CI/CD improvements to increase developer velocity and system stability
• Partner with product and stakeholders to translate complex business rules into maintainable backend systems

What You’ll Bring

• 5+ years of experience building web applications at scale in at least one modern language / framework (e.g. Python/Django, Rails, etc.)
• 2+ years of experience leading technical teams and large, complex projects
• Deep understanding of relational databases (e.g., Postgres), query optimization, indexing strategies, and schema evolution
• Experience operating production systems in a large cloud provider (e.g. AWS)Familiarity with containerized environments (Docker) and orchestration systems (Kubernetes)
• Experience with background job systems and message queues (e.g. Celery)
• Working knowledge of caching strategies (e.g. Redis)
• Experience with monitoring/observability tooling (e.g. Datadog, CloudWatch)
• Strong understanding of system reliability, failure modes, and operational tradeoffs
• Ability to communicate complex system behavior clearly to non-technical stakeholders
• A solutions-oriented mindset, willing to step outside your primary domain to unblock teammates and ensure successful delivery

NYC-level total cash-comp (base $160k into the $200’s, plus equity and a discretionary cash bonus)

We know not everybody checks all the boxes, so if you’re interested, please apply because you could be just what we’re looking for!

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are searching for an exceptional Senior Staff Tech Lead to join the Aurora Services Engineering team and take on a critical role in building Aurora's suite of fleet management tools.

The Aurora Services Engineering team creates full-stack solutions including backend services, web apps, mobile apps, and real-time onboard code that enable commercial operation of autonomous vehicle fleets at scale. Our mission is to build the software that drives the commercial side of our platform such as assigning work to autonomous vehicles, providing remote support, managing a fleet of vehicles, and receiving orders from customers. As Aurora prepares to massively scale its fleet and integrate with partners on an API level, the tools we build are critical to the efficient daily operation of our business.

As the Tech Lead for the Dispatching & Partner Integrations team, you will lead design & implementation of solutions for Autonomous Vehicle Fleet Management and Partner API integrations with some of the biggest companies in the trucking industry. You will add new features to existing products and greenfield completely new ones to make a significant impact on the way commercial fleet operations function at Aurora.

In this role, you will:

• Partner with Product Managers, Designers, Autonomy, and Operation Stakeholders to deliver the benefit of Self Driving Vehicles quickly, safely and broadly.
• Architect and build scalable cloud services that power real-time and offline data flows essential for fleet optimization, autonomy improvement, and commercial operations.
• Develop and deploy robust, well-engineered solutions, leveraging modern cloud technologies and building highly available, low-latency backend services, APIs, and data pipelines.
• Design complex systems from the ground up. Partnering closely with Software, Hardware and infrastructure engineering teams.
• Mentor and grow senior engineers, raising the technical bar for the entire organization through code reviews, design discussions, and promoting a culture of engineering excellence.
• Translate complex operational data and autonomy metrics into actionable insights through scalable operator-facing tools and powerful APIs, directly improving our efficiency and product.

Required qualifications:

• BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience.
• 8+ years of industry experience, with a deep specialization in Golang for building and operating large-scale, high-concurrency backend systems.
• Expert-level ability to design and build large-scale gRPC services in Go, with a focus on idiomatic patterns, efficient memory management, and high-throughput concurrency models.
• Deep expertise in building scalable web services and distributed systems within the Go ecosystem, including integration with AWS, Kubernetes, and Elasticache.
• Experience working with Product Management and UI/UX Design teams to define & deliver features that impact end users at scale.
• Proficiency with cloud infrastructure and DevOps practices (e.g., AWS, Kubernetes, Elasticache, CI/CD, and monitoring/alerting systems).
• A track record of driving technical strategy and conducting high-level Go code reviews, ensuring engineering excellence, and mentoring senior engineers in idiomatic Go best practices.
• Experience defining technical roadmaps and driving long-term strategic projects that span multiple engineering teams.
• Phenomenal communication skills. We build software with people and for people. You know how to write an effective technical spec, provide feedback to others, translate technical concepts into lay terms, and incorporate feedback into your efforts. You value and practice openness, empathy, kindness, and collaboration.
• A preference for action. You will use good judgment to balance speed and quality. You will deliver products that are built in a responsible and sustainable way. You will use a self-starter mentality to thrive in a growing environment where all hands are on deck, and consider no obstacle too big or too small. You will notice where there is a need and will hustle to fill it.

Desirable Qualifications:

• Experience with safety and mission critical applications.
• Experience in onboard C++ development for autonomous vehicles or other robotics.
• Experience in operations research or optimization algorithms.
• Experience in transportation, logistics, or other time-sensitive operations.
• Experience with fleet management solutions for Robots, Vehicles or Aerial Drones.
• Experience with external customer facing software including production rollout with real customers.

The base salary range for this position is $191,000 - $306,000. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-Staff

About the Role:

We are looking for senior frontend engineers passionate about frontend technology and excellent user experience. The ideal candidate has helped lead the technical design and implementation of frontend features on at least one sizable production application within the past year. A senior frontend engineer at Perpay will spend their time writing code, reviewing PRs, mentoring engineers, and helping scope & design new features. We are looking for people who can bring frontend technical expertise to push our technology forward — whether it’s hosting a lunch-and-learn on a new frontend technology or directing a large refactor. We value engineers who demonstrate excitement around solving tough problems and delivering solutions in a fast-paced environment.

Much of our team is fullstack, so we look for team members excited to learn new technologies and work across all stacks, even if it’s not something you’ve done before! Our tech stack: Javascript, React, React Native, Redux, Python, Django, Flask, Kubernetes, AWS, Docker and more.

Our greatest strength is our people and we’d love for you to be one of them!

Responsibilities:

• Collaborate closely and communicate with other members of the development team, including UX designers, product managers, and other engineers, to ensure that the frontend meets the needs of the business and provides an excellent user experience
• Ensure our application is responsive and accessible across different devices and platforms
• Write clean, efficient, and maintainable code
• Contribute to the engineering design process by bringing forward tradeoffs and opinions on how to weigh them
• Leverage continued research around the changing frontend landscape to bring best practices and innovation to our code, developer experience, and user experience

What You’ll Bring:

• 5+ years of experience delivering commercial products to market
• 2+ years of experience leading technical teams and large, complex projects
• Significant experience with React and the React ecosystem and unidirectional data flow patterns, preferably Redux
• Strong knowledge of JavaScript, including the latest ECMAScript standards
• Understanding of RESTful APIs
• Experience with optimizing web applications for performance and accessibility
• Product focus and a passion for UX/UI design or familiarity with UX/UI principles
• Strong curiosity about industry trends
• Ability to pick up new technologies quickly, with software engineering best practices prioritized over familiarity with specific tools or languages
• History of cross-functional collaboration on mission-critical projects
• Experience with React Native, AWS, Docker, and Kubernetes is nice to have
• Experience standing up a design system is also a nice to have

NYC-level total cash-comp (base $160k into the $200’s, plus equity and a discretionary cash bonus)

We know not everybody checks all the boxes, so if you’re interested, please apply because you could be just what we’re looking for!

About the Role:

We’re searching for an experienced and owner-minded Software Engineer to join Perpay and contribute to our culture of technical excellence. You will lead large-scale projects from start-to-finish, working across multiple teams (analytics, commerce, product, design, operations) while providing guidance to junior-level engineers. As we’re a growing engineering team, you’ll also have the opportunity to make an impact on our tech and our team. Given our people-first approach, your elevated level of contribution will strengthen our culture of inclusion, mentorship, and continuous learning.

As a leader of Perpay’s engineering team, you’ll collaborate with stakeholders ranging from entry-level contributors to senior-level executives. This opportunity is both unique and pivotal, as it offers the chance to provide leadership to a rapidly growing team. Our tech stack: Typescript, Javascript, React, Redux, Python, Django, Flask, Kubernetes, AWS, Docker and more

Our greatest strength is our people and we’d love for you to be one of them!

We highly value product-mindset, experience building production web apps for real users, and ability to coach and support junior engineers. An ownership mentality is a must, along with empathy and low ego. We’re building to win, and are eager to find more team members to help us get there.

You Will:

• Be a leader our team looks to as a model of execution, accountability, and technical expertise
• Lead the implementation of large scale features for our customers and our internal finance, operations, and risk teams
• Develop technical requirements alongside our Product team
• Solve problems that span multiple interconnected systems with distributed architectures and scaling systems
• Execute on the full lifecycle of new features with fellow engineers
• Continue to improve how we build, test, and deliver software

What You’ll Bring

• 5+ years of experience building web applications at scale in at least one modern language / framework (Python/Django, React/Typescript, Rails, etc.)
• 2+ years of experience leading technical teams and large, complex projects
• Experience working on consumer-facing products and demonstrating empathy for end-users
• Excellent at unblocking yourself and those around you, and an ability to design, analyze, and debug distributed systems and services.
• Significant experience with operating large scale services with AWS, Docker, and/or Kubernetes
• Excellent communication skills, including the ability to explain highly technical subject matter to a nontechnical audience

NYC-level total cash-comp (base $160k into the $200’s, plus equity and a discretionary cash bonus)

We know not everybody checks all the boxes, so if you’re interested, please apply because you could be just what we’re looking for!

We are seeking a hands-on IAM Engineer to support the technical execution of our modern identity ecosystem. You will be the primary "labor" engine responsible for implementing our newly licensed tools (Conductor One and Ping Directory). You will be working closely with the IAM Architect in this role.

We’ve moved past the basics; our stack is built on Zero Trust principles, featuring SPIRE, Open Policy Agent (OPA), and a custom-built group management engine. You will own the full IAM lifecycle, evolving our existing infrastructure into a scalable, modern ecosystem that serves as a competitive advantage for our operations.

In this role you will

• Platform Implementation: Complete baseline environment configuration for Ping Directory and Conductor One across Dev and Prod tiers.

• Workforce Automation: Integrate HRIS (Workday) with the IGA platform to automate Joiner-Mover-Leaver (JML) processes.
• Technical Connectivity: Build and validate production-ready connectors for the core ecosystem, including Okta, AWS, Google, Slack, and Squad.
• Compliance Hardening: Deploy "Justify or Revoke" workflows and automated reporting to support SOX/ISO privileged access reviews.
• Identity Isolation: Execute the migration of Workforce and Service identities to Ping Directory.
• Operational Readiness: Define technical test plans, draft formal procedural documentation for audits, and create system runbooks for the permanent operations team.

Your primary focus will be the build, deployment, and configuration of the core IAM platform.

Required qualifications

• Experience: 4+ years in Information Security, with at least 2 years specifically focused on implementing IAM solutions in large enterprise environments.
• Identity Expertise: Expert-level knowledge of at least one major Cloud Identity Provider (AWS IAM, Azure) and core protocols including SAML, OAuth 2.0, OIDC, SCIM, and LDAP.
• Modern Principles: Deep understanding of Zero Trust principles and access models such as RBAC, ABAC, and PBAC.
• Education: Bachelor’s or Master’s degree in Computer Science, IT, or equivalent practical experience.
• Ability to develop code in either Python or Go.

Desirable qualifications

• Identity Providers: Experience with integration patterns with IdPs such as Okta, Auth0 or Microsoft Entra ID.
• IGA/PAM: Experience with Conductor One, SailPoint, Saviynt or similar platforms.
• Directory Services: Hands-on experience with Ping Directory or similar LDAP solutions. Including monitoring for performance and fine-tuning CPU, Memory and Storage.
• Cloud Infrastructure: Understanding of AWS cloud infrastructure and security concepts. Comfortable with Kubernetes and Infrastructure-as-Code (IaC) such as Terraform and Helm and CI/CD platforms such as ArgoCD.
• API Security: Experience protecting APIs using OAuth scopes and claims.
• Troubleshoot and resolve complex integration and performance issues across the IAM stack.

The base salary range for this position is  $146,000 - $211,500 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

Aurora hires talented people with diverse backgrounds who are excited about building the future of transportation that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient & accessible for all. We are searching for an exceptional Staff-level Backend Software Engineer to join the Aurora Services Engineering team and take on a critical role in building Aurora's suite of fleet management tools.

The Aurora Services Engineering team creates full-stack solutions including backend services, web apps, mobile apps, and real-time onboard code that enable commercial operation of autonomous vehicle fleets at scale. Our mission is to build the software that drives the commercial side of our platform such as assigning work to autonomous vehicles, providing remote support, managing a fleet of vehicles, and receiving orders from customers. As Aurora prepares to massively scale its fleet and integrate with partners on an API level, the tools we build are critical to the efficient daily operation of our business.

As a Staff Backend Software Engineer you will join a team which builds solutions for autonomous vehicle terminal operations: launching and landing vehicles at locations owned by Aurora and its largest customers. You will add new features to existing products and greenfield completely new ones. Your contributions will have a significant impact on the way terminal operations function at Aurora.

In this role, you will

• Design complex systems from the ground up, working closely with software, hardware, and infrastructure engineering teams along with other stakeholder teams within Aurora.
• Embrace AI tools to add new features which delight our users, along with improving frontend, backend, and onboard engineering efficiency.
• Build backend services running in Aurora’s AWS cloud used to monitor and manage the location and activity of our entire autonomous fleet.
• Establish technology and infrastructure to scale our products with high availability and reliability.
• Collaborate with stakeholders including Security, Product, Design, Safety, and Cloud Platform to achieve company milestones.
• Send suggestions and receive updates from vehicles in real time in order to ensure the safe operation of Aurora’s autonomous fleet.
• Contribute to and evolve our team culture around mentorship, feedback, collaboration, and engineering excellence.

You will be a good fit if you have

• Phenomenal communication skills. We build software with people and for people. You know how to write an effective technical spec, provide feedback to others, translate technical concepts into lay terms, and incorporate feedback into your efforts. You value and practice openness, empathy, kindness, and collaboration.
• A preference for action. You will use good judgment to balance speed and quality. You will deliver products that are built in a responsible and sustainable way. You will use a self-starter mentality to thrive in a growing environment where all hands are on deck, and consider no obstacle too big or too small. You will notice where there is a need and will hustle to fill it.
• The drive to make teams stronger. You're excited to work hard and fast to the finish line on new opportunities with a collaborative and integrated team. You will be proactive in engaging conflict with openness, patience and kindness in an environment where it is safe to lean on each other and learn from failures.
• Motivation to own the product lifecycle end to end. You’re happy to engage with our product and design teams and our internal customers to understand their needs and find ways to meet them. You ensure that product development stays on course all the way through release and post-release support.
• Strong backend service engineering skills. We use modern technologies to build our products including Golang, Python, C++, gRPC, Kubernetes, and AWS. We’re happy to help you learn and adapt to our stack.
• Experience working with databases and caches such as Postgres and Redis.
• Bachelor’s or Master’s Degree in Computer Science or a related field.
• 6+ years of industry experience with a  focus on high-availability cloud services.

Desirable experience

• Experience taking a SaaS development project into production at scale.
• Experience building gRPC services using Golang.
• Experience with IoT devices and Over-the-Air communication.
• Experience with Kubernetes, including service configuration, monitoring and deployment.
• Experience with cloud environments such as AWS, Google Cloud, or Azure.
• Experience with fleet management solutions for robots, vehicles, or aerial drones.
• Experience with external customer facing software including production rollout with real customers.

The base range for this position is $171,000 - $273,000.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-WS1 #Senior 

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Software Engineer on the Machine Learning Data Engine: Labels Platform team. Our team is responsible for production services supporting high volume data labeling operations. We also provide data models and service interfacing supporting a variety of autonomy data consumers. Autonomy performance is directly dependent on data quality, selection, and volume. On this team you will have opportunities to work on projects that are mission-critical for the company. You will also have the opportunity to develop innovative industry-leading ML Ops solutions. Aurora is uniquely positioned to lead in this space due to its end-to-end data collection, labeling, model training and evaluation toolchain.

In this role, you will

• Apply production best practices to ensure platform reliability
• Feature development for new labeling applications
• Collaborate across teams and functions (product, program, operations, data science) to drive projects from inception to delivery
• Apply ML Ops best practices to design processes for improving data coverage and quality

Required Qualifications

• BS / MS / PhD degree in Computer Science or a related field
• For non-CS majors or BS candidates, strong software experience (4+ years in industry)
• 4+ years of expertise with production backend services (Cloud, Kubernetes, DevOps)
• Experience with C++ and Python

Desirable Qualifications

• Relevant domain knowledge: data annotation, autonomous driving, computer vision, robotics, mapping, numerical computing, 3D graphics
• Specific technology: AWS, Terraform, Bazel, Docker, Kubernetes, gRPC, SQL, Elasticsearch
• Supplementary programming languages: Golang, Typescript

The base salary range for this position is $126,000 - $201,000 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JL261

#Mid-Senior 

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. 

We are looking for a Software Engineer to partner with our Mapping team to deliver stable, fast, scalable solutions for the Aurora Atlas – our mapping storage and versioning system. The Atlas powers many key functions, from map update processes, test creation systems, offboard simulations, visualizations, and onboard perception and decision making. This role is ideal for those who are energized by challenging problems at the intersection of scalable backend systems, data versioning and cross team collaborations.

In this role you will:

• Design, develop, and maintain the scalable backend infrastructure and data processing pipeline for storing and serving map data as we onboard the Aurora Driver to more commercial routes.
• Establish and maintain robust testing and performance optimization practices to ensure the stability and scalability of the Atlas system.
• Partner closely with internal and external customers to influence existing and future designs and features.

Required Qualifications:

• 4+ years experience building server side and data processing systems.
• Expert proficiency in C++ with a commitment to writing clean, testable, and production-ready code.
• Deep understanding of distributed systems principles, with a proven ability to deliver scalable, reliable backend systems.
• Strong understanding of cloud-native technologies (e.g., AWS, GCP, Kubernetes).
• Excellent communication and collaboration skills.
• Proven ability to rapidly learn new technologies and adapt to evolving requirements.

Desirable Qualifications:

• M.S. or Ph.D in Computer Science or a similar technical field, or equivalent practical experience.
• Domain experience with geospatial data, mapping systems, or high-throughput data pipelines.
• Working proficiency in Python and Golang.

The base salary range for this position is $146,000 - $234,000 . Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-Mid-Senior

What we are looking for

We’re searching for a Senior Cloud Security Engineer. You will be part of the Cloud Security engineering team dedicated to building resilient, automated security systems at scale. 

Cloud security collaborates with infrastructure and application teams closely. The areas we cover are infrastructure security, workload security, and CI/CD hardening.

Our team is dedicated to building resilient, automated systems at scale. We take a hybrid approach to our toolkit: we utilize the best of open-source (OPA, Trivy, Spire) and COTS products, while still writing custom code to automate workflows and harden our global digital integrity. You’ll help us strike the perfect balance between leveraging existing solutions and building custom ones from the ground up.

In this role you will

• Secure Aurora’s cloud environment in the areas of but not limited to:
• Manage IAM roles and policies
• Enforce security controls
• Construct security boundaries for resources and services
• Provide security guidance involving Cloud and Kubernetes
• Create automation to solve security problems at the root
• Design, build, and configure security infrastructure clouds such as like AWS, Azure, or GCP
• Manage the security posture of workloads deployed on Kubernetes environments

Required qualifications

• 5+ years of progressive experience in security engineering
• Understanding of fundamental security concepts such as Authentication, Authorization, Zero-Trust, and their application to cloud native infrastructure and applications. 
• Hands-on experience in securing cloud and Kubernetes environments. Experience with Kubernetes admission controllers, vulnerability management, supply-chain security, network security, and use of mTLS and PKI to secure infrastructure.
• Ability to design and implement security controls for Kubernetes, including strong knowledge of authorization models, admission controllers, and security best practices.
• Understanding of modern Identity and Access Management (IAM) standards and technologies such as OAuth2/OIDC, SAML.
• Proficiency in at least one modern programming/scripting language (e.g., Python or Go) for building security automation.
• Experience writing and using Terraform.

Desirable qualifications

• Deep fundamental understanding of enterprise-level network security, operating system (Linux), Kubernetes, CI/CD, and application security principles.
• Familiarity with compliance frameworks (e.g., SOX, SOC 2, ISO 27001).
• Familiarity with machine identity frameworks like SPIFFE/SPIRE, mTLS or equivalent.

The base salary range for this position is $146,000 - $211,000 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

About the Role:

Rumble Cloud is seeking a Principal Database Architect to own the architecture, technical direction, and successful delivery of our Database as a Service (DBaaS) offering within our public cloud platform. This role will take over a product already in active development and guide it through hardening, integration, launch, and global scale-out. You will be responsible for shaping the long-term technical roadmap of the service, ensuring it is secure, reliable, performant, and operable at scale for customers worldwide. You will work closely with our development team, engineering team, and early adopter customers to refine the design, drive high-quality implementation, and build the patterns and practices that future engineers will follow.

Key Responsibilities:

• Own the end-to-end architecture of the DBaaS product, including multitenancy, high availability, disaster recovery, backup/restore, observability, and security.
• Review and influence existing epics, stories, and technical designs, identifying gaps and driving improvements.
• Define and maintain architectural standards and patterns for databases across our public cloud (provisioning, configuration, lifecycle management, monitoring, security).
• Work closely with platform, networking, and security teams to integrate DBaaS into our cloud infrastructure, including identity, networking, billing, self-service, and automation.
• Collaborate with Product Management to align technical roadmap with product vision, SLAs/SLOs, and customer requirements.
• Serve as the highest-level technical escalation point for DBaaS-related issues in development, staging, and production environments.
• Support onboarding and success of early “friendly” customers: assist with deployments, performance tuning, troubleshooting, and architecture guidance.
• Define and evolve operational runbooks, incident response patterns, and SRE practices for the DBaaS platform.
• Mentor and coach other engineers and architects as we build an internal team around the service, raising the overall bar for database and data platform expertise.
• Establish and enforce security, compliance, and data protection best practices for the DBaaS offering (encryption, access control, auditing, regulatory considerations).
• Participate in capacity planning and cost optimization, ensuring the service is economically viable at scale.
• Conduct periodic architecture reviews and post-incident reviews, driving continuous improvement in reliability and customer experience.
• Support and advise internal teams on the operation, performance, and troubleshooting of existing database clusters, in addition to primary ownership of the DBaaS platform.

Required Skills & Experience:

• Expert-level experience in database engineering, data platforms, or infrastructure, with significant ownership of production database systems or services.
• Deep expertise with at least one major relational database engine (e.g., PostgreSQL, MySQL, MariaDB, or similar), including replication, backup/restore, performance tuning, and operational best practices.
• Solid understanding of cloud infrastructure concepts, including compute, networking, storage, and security in public cloud or large private cloud environments.
• Experience integrating databases or DBaaS-like offerings with cloud control planes, APIs, and automation/orchestration systems.
• Strong background in reliability engineering for data services (monitoring, alerting, SLOs, incident management, capacity planning).
• Familiarity with security and compliance requirements for database services (encryption at rest/in transit, access control, auditing, data retention, regulatory considerations).
• Proficiency with infrastructure-as-code and automation tools (e.g., Terraform, Ansible, or similar) and comfort working with CI/CD pipelines.
• Scripting or programming skills (e.g., Python, Go, Bash or similar) for automation, tooling, and integration.
• Proven track record of technical leadership: influencing designs across teams, mentoring engineers, and making clear trade-off decisions.
• Excellent communication skills, with the ability to work effectively with external vendors, internal stakeholders, and customers.

Nice to Have (Preferred Skills):

• Strong, hands-on expertise with both MySQL and PostgreSQL databases.
• Experience designing or operating multi-tenant, high-availability, and distributed database architectures in a cloud or large-scale environment.
• Experience designing or operating a DBaaS offering (e.g., Amazon RDS/Aurora, Azure Database, Cloud SQL, or similar managed services).
• Knowledge of NoSQL or specialized data stores (e.g., Redis, MongoDB, Cassandra) and when to apply them.
• Experience in Kubernetes-based data workloads, operators, or stateful services.
• Familiarity with multi-region architectures, data residency, and geo-replication patterns.
• Exposure to observability stacks (e.g., Prometheus, Grafana, ELK/OpenSearch, OpenTelemetry) for data services.
• Relevant certifications in databases, cloud architecture, or security are a plus.

Qualifications:

• Demonstrated success owning the architecture and technical direction of a mission-critical platform or service.
• Strong customer empathy and a track record of working directly with users or customers to solve complex technical problems.
• Ability to operate at both strategic and hands-on levels, from roadmap and design reviews down to debugging complex production issues.

Annual Compensation Range: 

$185,000 -  $265,000 USD base + benefits + equity (If based in the United States)

$170,000 -  $200,000 USD base + benefits + equity (If based in Canada)

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

About the Role:

Rumble Cloud is seeking a Kubernetes Engineer to support our team in rolling out and operating our next-generation Kubernetes platform. This role will focus on our new CAPI/CAPO-based Kubernetes solution, which is designed to be compatible with our existing OpenStack Magnum API and will be deployed across our public cloud. You will help run the day-to-day operations of the Kubernetes service, assist with migrations and onboarding from our current Magnum-based offering, and act as an escalation point for complex customer issues that go beyond front-line support. This is a hands-on engineering role for someone who enjoys debugging difficult problems, improving reliability, and working closely with both platform engineers and customer-facing teams.

Key Responsibilities:

• Operate and maintain Rumble Cloud’s Kubernetes platform, including our new CAPI/CAPO-based installation and its integration with the OpenStack Magnum API.
• Assist in the rollout, migration, and upgrade processes as customers transition from the existing Magnum-based solution to the new platform.
• Serve as an escalation point for customer support, troubleshooting complex Kubernetes and cluster lifecycle issues.
• Monitor the health, performance, and capacity of Kubernetes clusters and underlying infrastructure; assist in incident response and root cause analysis.
• Implement and maintain day-2 operations processes, including backup/restore, scaling, patching, and cluster upgrades.
• Collaborate with the Kubernetes Architect to implement standards, best practices, and reference patterns for cluster configuration and operations.
• Help manage and integrate container registries, identity, networking, and storage components required for the Kubernetes platform.
• Automate repetitive operational tasks using scripting and infrastructure-as-code tools.
• Contribute to and maintain runbooks, documentation, and knowledge base articles for both internal teams and customer-facing support.
• Provide feedback from operations and customer interactions to influence platform improvements and product roadmap.

Required Skills & Experience:

• Extensive experience in Linux systems engineering, cloud engineering, or platform/SRE roles, including hands-on work with Kubernetes in production environments.
• Practical experience with installing, operating, and troubleshooting Kubernetes in production environments.
• Experience working with Kubernetes on OpenStack or other cloud providers.
• Familiarity with Cluster API (CAPI) and/or Cluster API Provider OpenStack (CAPO), or strong willingness to ramp up quickly.
• Strong understanding of Linux, containers, and container runtimes (e.g., Docker, containerd).
• Experience with Kubernetes networking, storage, and ingress concepts (CNI, CSI, load balancers, ingress controllers).
• Hands-on experience with scripting and automation (e.g., Bash, Python, or Go) for operational tasks.
• Familiarity with configuration management and IaC tools such as Ansible and Terraform.
• Experience with monitoring and logging in Kubernetes environments (e.g., Prometheus, Grafana, ELK/Graylog, or similar).
• Strong troubleshooting skills, clear written documentation, and effective communication with both technical and non-technical stakeholders.

Nice to Have (Preferred Skills):

• Experience with OpenStack Magnum and its Kubernetes integrations.
• Experience operating Kubernetes on other public cloud platforms (EKS, AKS, GKE).
• Knowledge of Ceph, S3-compatible storage, and their use with Kubernetes.
• Understanding of application architectures on Kubernetes, including microservices and 12-factor applications.
• Exposure to CI/CD toolchains (e.g., Git, GitLab/Jenkins, Artifactory, etc.) for containerized workloads.
• Experience with security hardening and best practices for Kubernetes (RBAC, PodSecurity, network policies, image scanning).

Qualifications:

• Demonstrated experience operating production Kubernetes clusters and working as part of a cross-functional cloud/platform team.
• Ability to work effectively under pressure, handle escalations, and maintain a strong customer-focused mindset.
• Passion for continuous learning in Kubernetes, cloud-native tooling, and automation.

Annual Compensation Range: 

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

How You'll Make an Impact: 

As a Senior Fullstack Engineer on the Distribution Team, you'll be instrumental in developing and enhancing the products that connect Cloudbeds' ecosystem to the world's largest distribution channels. You'll architect scalable solutions using modern technologies, contribute to our microservices migration, and ensure our platform delivers exceptional performance and security for thousands of properties worldwide. Your work will directly impact how hotels reach guests through integrations with major platforms like Booking.com, AirBnb and beyond.

Our Distribution Team:

We're the bridge connecting properties to the global travel ecosystem. Our team tackles complex integration challenges that directly impact revenue for thousands of hotels worldwide, from building rock-solid connections with major OTAs to ensuring every booking flows seamlessly and securely. We balance innovation with pragmatism: migrating legacy systems to modern microservices while maintaining the reliability our customers depend on. If you thrive on solving hard technical problems with real business impact and love the challenge of both building greenfield features and refactoring legacy code, you'll feel right at home here.

What You Bring to the Team:

• Design and implement robust backend features and improvements using PHP, with a strong focus on performance optimization and scalability for our distribution platform
• Build intuitive frontend experiences using React and Vue, ensuring seamless user interactions across the Cloudbeds ecosystem
• Architect secure solutions for handling financial transactions and sensitive personal data, applying security best practices throughout the development lifecycle
• Write clean, well-tested, and well-documented code with comprehensive test coverage (unit, integration, end-to-end) to maintain high quality standards
• Lead technical discussions on complex concepts and requirements with both technical and non-technical stakeholders, driving alignment on backend and frontend architecture decisions
• Contribute to our ongoing initiative to migrate core platform components into microservices, helping shape the long-term technical vision
• Re-architect and refactor existing legacy systems to align with modern standards and project requirements, demonstrating ownership and commitment to continuous improvement
• Mentor team members through pair programming and code reviews, promoting best practices that elevate code quality and team processes
• Collaborate with cross-functional teams to plan, build, and ship high-quality features that delight our global customer base

What Sets You Up for Success:

• 5+ years of PHP web application software engineering experience
• 5+ years of experience with JS frameworks, Vue.js and React are preferred
• Solid experience with modern JavaScript/TypeScript
• Strong hands-on experience with Docker and containerized development workflows
• Demonstrated expertise in performance optimization and expert knowledge of relational databases, indexing, and searching technologies
• Strong understanding of security considerations, particularly for applications handling financial transactions and personal data
• Experience with test automation across all levels (unit, integration, end-to-end) and a passion for quality-driven development
• Proven track record of taking ownership of projects and delivering results independently
• Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team

Bonus Skills to Stand Out:

• Experience designing and building microservices and/or micro-frontends
• Hands-on experience with PHP frameworks (CodeIgniter, CakePHP, Laravel, Symfony)
• Cloud and infrastructure experience with Kubernetes, AWS, Terraform, and Argo CD
• Experience working with event-driven architectures and messaging systems (e.g., Kafka)

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

About the Role:

As an Intern at Perpay, we want you to grown with us. Your primary responsibilities are going to be collaborating with your team to ship features, learning how to approach your work with a product mindset, and demonstrating the grit that will get you through challenging projects.

We understand the value of mentorship and offer students an opportunity to gain real work experience before graduation. In the 10-12 weeks we’ll be together, you’ll be like any other member of the engineering team working on features within our existing product roadmap. You’ll be contributing to our codebase, test & release features into production, partner with our other teams like product, design, data science & analytics, operations, and other stakeholders to ship new features and products. All while developing the skills to succeed in a fast-paced tech start-up environment and experiencing and contributing to our unique culture.
Our tech stack: Javascript, React, Redux, Python, Django, Flask, Kubernetes, AWS, Docker and more

Our greatest strength is our people and we’d love for you to be one of them!

What You’ll Bring:

• Currently enrolled in or will receive a Bachelor’s or higher in Computer Science, Mathematics, or related technical discipline with an expected graduation date between winter 2026 – summer 2027
• Cumulative GPA of 3.0 or better
• Knowledge and experience with some if not all of our stack
• Ability to pick up new technologies quickly, with software engineering fundamentals being valued more than familiarity with specific tools or languages
• A strong focus on writing and deploying clear, readable, testable code

Bonus:

• Enrolled in a Master’s Degree or advanced technical degree
• Previous work experience in a technical field

Hey, we know not everybody checks all the boxes, so if you’re interested, please apply because you could be just what we’re looking for!

What We’ll Bring For Internship: 

• Hourly compensation
• Espresso bar, full kitchen, weekly catered lunches, snacks, beverages, & everyday lunch essentials
• One of a kind office with comfortable work/lounge spaces and pleasant riverfront setting
• Opportunity to gain experience at one of the fastest-growing financial startups in the country in both e-commerce & fintech working cross functionally.
  

About the Role:

We are looking for motivated graduates to join our Software Engineering team in 2026! You’ll contribute to our codebase, test & release features into production, and collaborate with other teams like product, design, data science, analytics, and operations. The ideal candidate has software development internship experience and is enthusiastic about learning and growing! We're particularly interested in working with candidates excited about joining a mission-driven startup. On our team, you’ll sharpen your skills, learn new tools alongside other new graduates, and learn from experienced engineers. Plus, our team organizes events and social gatherings outside of work hours. We believe having a fun and engaging work environment is essential to fostering a positive company culture and creating a strong foundation for career growth.

Much of our team is fullstack, so we look for team members excited to learn new technologies and work across all stacks, even if it’s not something you’ve done before! Our tech stack: Javascript, React, React Native, Redux, Python, Django, Kubernetes, AWS, Docker, Terraform, and more.

Our greatest strength is our people, and we’d love for you to be one of them!

Responsibilities:

• Develop, test, and release features for our customer-facing and internal platforms alongside the engineering team
• Write clean, efficient, and maintainable code
• Collaborate cross-functionally to develop efficient and user-friendly solutions to support the complex needs of our business
• Actively participate in design reviews, code reviews, and discussions to improve our software architecture and implement efficient processes within our engineering team

What You’ll Bring:

• Currently pursuing a Bachelor’s degree or higher or a recent graduate studying Computer Science, Mathematics, or a related technical field 
• 1 to 2 previous Software Engineering internships with a focus on fullstack software development
• Experience with at least one backend application framework such as Django or Flask
• Experience with frontend technologies such as React, Angular, or Vue.js
• Knowledge of RESTful API design and integration
• Experience with Python or another dynamically typed language
• A strong focus on writing and deploying clear, readable, testable code
• Ability to pick up new technologies quickly, with software engineering fundamentals being valued more than familiarity with specific tools or languages
• Eagerness to learn, grow, and seek feedback from team members
• Strong communication skills

Even if you don't check all the boxes, please apply if interested. You might be exactly what we're looking for!

About the Role:

As a Senior Data Scientist at Perpay, you will be a critical player in the day-to-day success of the business, supporting new and existing product initiatives through strong analytical skills and machine learning expertise. In addition, you will be responsible for helping shape the future of the data science team by developing processes and systems that scale with our rapidly growing business. This is an exciting opportunity to make a positive impact on the execution of Perpay’s mission and the lives of our customers. We are looking for someone who is passionate about all aspects of data science: from machine learning and exploratory data analysis to communication of results and real-time deployments. This crucial role will sit on our data science team and report to the Data Science Manager. If you’re looking for a collaborative team that you can bounce ideas off of and learn from, this is where you belong. We are about being curious, setting the standard and building good habits at Perpay.

Our greatest strength is our people and we’d love for you to be one of them!

Responsibilities:

• Drive the end-to-end completion of data science initiatives, collaborating with stakeholders from ideation through execution, ensuring projects deliver strong impact to our customer’s financial lives and the health of the business
• Proactively identify opportunities for the data science team to improve and expand Perpay’s business model using techniques from exploratory data analysis to machine learning models, leveraging subject matter expertise of Perpay’s business model
• Support the growth of the business by delivering scalable models and algorithms while maintaining and troubleshooting existing resources
• Deploy and maintain real-time model inference resources and infrastructure
• Deploy and maintain machine learning pipelines including batch processing and continuous training architecture
• Contribute to the cross-discipline adoption and responsible use of AI/LLM models and services at Perpay 
• Present results and analyses to the a wide range of audiences: from Perpay's leadership team to non-technical peers
• Contribute to defining standards and best practices concerning workflow and adoption of new technologies within the Data Science team
• Act as an informal mentor peers

What You’ll Bring:

• 5+ years of experience* and expertise applying machine learning techniques in industry
• 5+ years of experience* and expertise in producing data analysis, exploratory data analysis and data visualization in industry
• 5+ years of experience* and expertise in developing, deploying, maintaining real-time software (e.g. models exposed as APIs)
• 5+ years of experience* and expertise in Cloud compute infrastructure and best practices, including familiarity with tools such as terraform and Cloud Formation
• Bachelor's degree or higher in a quantitative/technical field (Mathematics, Statistics, Engineering, Chemistry, Physics)
• Excellent communication skills, across a range of audiences from technical to non-technical
• Strong business acumen, demonstrated through subject matter expertise in at least one industry
• Capable of managing projects “end to end” including managing project scope, timelines and workloads
• Advanced proficiency in Python and standard data science stack (e.g. scikit-learn, pandas, numpy, matplotlib, etc.)
• Team player: willingness and ability to establish strong working relationships not just within the data science team itself, but across the organization

*Internships not included

Nice to have:

• Expertise in multiple advanced machine learning methodologies: e.g. deep learning, probabilistic programming, mathematical optimization, etc.
• Deep familiarity in multiple advanced machine learning frameworks: e.g. tensorflow, pytorch, pymc, etc.
• Experience with scalable compute frameworks such as Spark or Polars
• Experience with deployment frameworks such as Kubernetes