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

#LI-REMOTE

#LI-JL4

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 Software Engineer to join Aurora’s Vehicle Connectivity team. The Vehicle Connectivity team is responsible for Aurora’s self-driving vehicle connectivity stack for reliable, observable, and secure vehicle-to-cloud communications.

In this role, you will

• Define vehicle connectivity and communication architecture
• Address connectivity-specific concerns for vehicle runtime, e.g. networking, performance, and observability
• Perform connectivity bring up of new vehicle platforms
• Work with autonomy engineers to meet performance and efficiency requirements for data collection and offload
• Provide engineering support for field testing and fleet operations

Required Qualifications

• BS/MS/PhD in Computer Science or related field, or equivalent industry experience
• Strong programming skills in C++
• Ability to work across multiple programming languages and paradigms
• Experience working with networking protocols, such as TCP, UDP, gRPC, HTTP
• A passion for writing robust, intuitive, high-performance code, and being pragmatic about it
• Experience with Linux network configuration and troubleshooting
• Ability to navigate and work effectively in large codebases
• Strong verbal and written communication skills 
• Work autonomously, but still be a great team player with colleagues across time-zones

Desirable Qualifications 

• Experience with performance evaluation and optimization. 
• Network health monitoring frameworks
• Strong programming skills in GoLang
• Experience with safety critical systems
• Good understanding of ethernet switching and interaction between OSI layers 1, 2, 3 and 4

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-td-1

 #Mid-Senior 

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

Our newly formed Design Release Engineering team, within the Vehicle Platform Engineering group, is seeking a highly motivated Staff Engineer to own the design release and integration of our autonomous vehicle’s compute and connectivity subsystem. This role serves as the primary technical authority for the end-to-end design, release, validation, and production readiness of our high-performance compute hardware and associated controllers. You will ensure robust technical execution, manage supplier and cross-functional alignment, and drive hardware delivery that meets all performance, cost, and timing objectives.

What You’ll Be Doing:

• Own the complete design release of the high-performance compute and connectivity hardware, including the mechanical mounting, alignment, thermal management, electrical interface, and vehicle network integration.
• Drive technical execution for the full product lifecycle, from concept and architecture definition to sustaining engineering and continuous improvement.
• Oversee the generation and release of all engineering documentation, including models and drawings, Bills of Material (BOM), specifications, and test reports, ensuring alignment with vehicle-level design.
• Define and maintain the Design Verification Plan & Report (DVP&R), ensuring successful validation against system performance targets.
• Lead the Engineering Change (ECN) process for compute and connectivity hardware, ensuring traceability, cost impact analysis, version control, and full cross-functional buy-in.
• Act as the primary technical and program interface to suppliers (Tier 1 and Tier 2), tracking part maturity through DV, PV, and PPAP phases to ensure tooling and delivery readiness.
• Build strong partnerships across the Systems Engineering, Autonomy, Software Infrastructure, Quality, and Vehicle Integration teams to ensure seamless hardware integration and manufacturability (DFM/DFA).
• Lead technical program reviews and design readiness assessments, proactively developing risk mitigation plans to ensure compute hardware maturity aligns with program milestones and build events.
• Provide regular, concise updates to technical leadership on design maturity, validation progress, open issues, and timely closure metrics.
  
  

What We’re Looking For:

• 8+ years of experience in automotive hardware design and release engineering, with direct ownership of Domain Controllers, HPCs, or Telematics units.
• Bachelor’s or Master’s degree in Electrical, Mechanical, Computer, or Systems Engineering (or a related field).
• Deep technical understanding of compute architectures, high-speed data buses, and wireless connectivity standards.
• Fundamental knowledge of validation documentation and processes, including DVP&R, DFMEA, and PFMEA.
• Expert-level experience with the manufacturing BOM and ECN processes, and a proven ability to manage technical discussions with external suppliers.
• Familiarity with CAD systems (e.g., NX, CATIA), Product Lifecycle Management (PLM) systems (including requirement management tools such as Polarion), and engineering release workflows.
• Strong understanding of vehicle integration, packaging, and functional safety standards (ISO 26262).
• Proven ability to lead complex initiatives, manage cross-functional teams, and execute to aggressive program timelines with minimal oversight.
  
  

Bonus Points:

• Experience with advanced in-vehicle prototypes and benchtop systems.
• Proven track record of driving goal-level impact across multiple teams or subsystems.
• Prior experience in a fast-growing autonomous vehicle or robotics company.

This role is based in our Pittsburgh office and requires in-office days each week.

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

Our newly formed Design Release Engineering team, within the Vehicle Platform Engineering group, is seeking a highly motivated Staff Engineer to own the design release and integration of  vehicle control and interface subsystems. This role serves as the primary technical authority for the end-to-end design, release, validation, and production readiness of key vehicle modules, including core systems such as Autonomous Emergency Braking (AEB), Vehicle Interface Controllers (VIC), Cabin Monitoring Systems, and Human-Machine Interface (HMI) hardware. You will ensure robust technical execution, manage supplier and cross-functional alignment, and drive hardware delivery that meets all performance, cost, and timing objectives.

What You’ll Be Doing:

• Own the complete design release of critical vehicle system hardware, including the mechanical mounting, alignment, thermal management, electrical interface, and vehicle network integration.
• Drive technical execution for the full product lifecycle, from concept and architecture definition to sustaining engineering and continuous improvement.
• Oversee the generation and release of all engineering documentation, including models and drawings, Bills of Material (BOM), specifications, and test reports, ensuring alignment with vehicle-level design.
• Collaborate closely with the base vehicle supplier (OEM partner) to ensure seamless mechanical, electrical, and network integration of the vehicle controllers and interface modules into the base vehicle architecture, managing shared Interface Control Documents (ICDs).
• Define and maintain the Design Verification Plan & Report (DVP&R), ensuring successful validation against system performance targets.
• Lead the Engineering Change (ECN) process for all assigned vehicle system modules, ensuring traceability, cost impact analysis, version control, and full cross-functional buy-in.
• Act as the primary technical and program interface to suppliers (Tier 1 and Tier 2), tracking part maturity through DV, PV, and PPAP phases to ensure tooling and delivery readiness.
• Build strong partnerships across the Systems Engineering, Autonomy, Software Infrastructure, Quality, and Vehicle Integration teams to ensure seamless hardware integration and manufacturability (DFM/DFA).
• Lead technical program reviews and design readiness assessments, proactively developing risk mitigation plans to ensure compute hardware maturity aligns with program milestones and build events.
• Provide regular, concise updates to technical leadership on design maturity, validation progress, open issues, and timely closure metrics.
  
  

What We’re Looking For:

• 8+ years of experience in automotive hardware design and release engineering, with direct ownership of ADAS/Active Safety hardware, low-level vehicle controllers, or interior electronic modules preferred.
• Bachelor’s or Master’s degree in Electrical, Mechanical, Computer, or Systems Engineering (or a related field).
• Deep technical understanding of core vehicle control architectures (e.g., AEB and VIC) and automotive network topologies (e.g., CAN-FD, automotive ethernet).
• Technical knowledge of interior electronics and cockpit integration, including HMI ECUs/displays, cabin monitoring sensors, and their associated high-speed video/data protocols (e.g., GMSL, FPD-Link).
• Fundamental knowledge of validation documentation and processes, including DVP&R, DFMEA, and PFMEA.
• Expert-level experience with the manufacturing BOM and ECN processes, and a proven ability to manage technical discussions with external suppliers.
• Familiarity with CAD systems (e.g., NX, CATIA), Product Lifecycle Management (PLM) systems (including requirement management tools such as Polarion), and engineering release workflows.
• Strong understanding of vehicle integration, packaging, and functional safety standards (ISO 26262).
• Proven ability to lead complex initiatives, manage cross-functional teams, and execute to aggressive program timelines with minimal oversight.
  
  

Bonus Points:

• Experience with advanced in-vehicle prototypes and benchtop systems.
• Proven track record of driving goal-level impact across multiple teams or subsystems.
• Prior experience in a fast-growing autonomous vehicle or robotics company.
  
  

This role is based in our Pittsburgh office and requires in-office days each week.

Mission Summary:

We are seeking a capable and highly motivated Engineer for our Developer Platform team to enable rapid and safe software delivery by providing a unified, efficient and reliable platform for all developers at Motional. You will join a talented team of engineers that focuses on improving the engineering experience and developer productivity of teams in Motional by providing them with the necessary tools and processes. You will collaborate closely with teams across the organization to identify pain points and drive initiatives that empower teams to deliver on Motional’s mission.

Your main focus will be on our real-time data pipeline which enables our AVs to communicate with our cloud services such as Command Center, Over-The-Air update systems, and ride hailing partners integration.

This is a remote-first position based anywhere in the U.S. 

What you'll do:

• Design, build, document, test, and maintain network, compute, and storage infrastructure of our cloud platform for the AV fleet.
• Monitor, support, and resolve issues as they arise in production.
• Assist with high-level analysis, system design, and code reviews.
• Communicate with stakeholders and team leads to identify system requirements.

What you'll be working on:

• Observability systems, CI/CD pipelines for integrations with ride hailing partners like Uber and Lyft.
• Cost Optimizations, Performance Optimizations, Security Improvements of Cloud Systems.
• Automation, services and LLM-integrated bots to reduce developer toil.

What you bring:

• 2+ years of professional work experience as a Software Engineer/DevOps in designing and building distributed systems.
• Experience with Golang / Python.
• Experience with AWS (EC2, EKS, ECS, Lambda, VPC, S3, IAM, IOT).
• Knowledge of CI/CD tools (e.g. GitLab CI, Jenkins).
• Experience with Infrastructure as Code (Terraform).
• Comfortable taking projects from ideation through to completion, with strong communication and collaboration across multiple international teams.
• Comfortable working in a fast-paced, continuous delivery environment.

Bonus points for experience with:

• Working with a globally distributed team.
• Experience with serverless architectures, building systems using SQL and NoSQL databases.
• Experience with time-series databases and monitoring tools (Prometheus, VictoriaMetrics, Grafana, Redash).
• Experience with GenAI solutions (Q Developer/Business, Gemini).
• Experience in Site Reliability Engineering.
• Experience with error monitoring software (Sentry, Incident.io).

On Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.

What You’ll Be Doing:

You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day to day responsibilities include:

• Designing and executing high value experiments based on collaborative input from other machine learning engineers
• Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities
• Timely release of major model updates, including analysis of both off-line and on-road evaluation data
• Staying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literature
• Maintaining a high quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation

What We’re Looking For:

• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking
• Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and  testing methods
• Experience with PyTorch or other python-based deep learning frameworks
• Experience working with large data sets and deriving insights from data
• Experience mentoring and collaborating with others

Education
Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience

Bonus Points

• Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• PhD in machine learning, computer vision, or robotics vision
• Experience working on autonomous vehicles or related fields
• Experience in deploying models into real-world environments
• Strong programming skills in C++ and/or CUDA programming
• This opportunity can support remote work within the United States, with occasional travel.

Working Conditions

While performing the duties of this job, the employee is frequently required to convey and detect communication

The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment

The employee may occasionally move up to 50 pounds

On Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.

What You’ll Be Doing:

You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day to day responsibilities include:

• Designing and executing high value experiments based on collaborative input from other machine learning engineers
• Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities
• Timely release of major model updates, including analysis of both off-line and on-road evaluation data
• Staying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literature
• Maintaining a high quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation

What We’re Looking For:

• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking
• Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and  testing methods
• Experience with PyTorch or other python-based deep learning frameworks
• Experience working with large data sets and deriving insights from data
• Experience mentoring and collaborating with others

Education
Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience

Bonus Points

• Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• PhD in machine learning, computer vision, or robotics vision
• Experience working on autonomous vehicles or related fields
• Experience in deploying models into real-world environments
• Strong programming skills in C++ and/or CUDA programming
• This opportunity can support remote work within the United States, with occasional travel.

Working Conditions

While performing the duties of this job, the employee is frequently required to convey and detect communication

The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment

The employee may occasionally move up to 50 pounds

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.

Job Summary

This Senior Full Stack Engineer engineer role in which you lead technical efforts across multiple teams or subsystems, owning system architecture and development across the stack. A Senior Software Engineer drives technical innovation, acts as a mentor and process advocate, driving improvements that scale beyond a single team. You will exercise high discretion over technical decisions and influence department-level business outcomes. Providing strong leadership within and across scrum teams to align execution with architectural vision.

Essential Duties and Responsibilities

• Proactively research, prototype, and introduce new technologies or architectural approaches that improve team or org-wide capabilities.
• Own the reliability, observability, and operational excellence of key systems—ensuring they meet or exceed defined SLAs.
• Actively mentor and sponsor engineers across levels, fostering career growth and encouraging broader technical participation.
• Continuously evolve team processes, driving scalable improvements in delivery, quality, and collaboration.
• Drive impact at the team and cross-team level.
• Provide strong technical leadership across one or more scrum teams, aligning execution with architectural vision and business goals.

Education, Experience, Knowledge, Skills, and Abilities

• 6-8 years of experience of software development experience
• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• Strong proficiency in TypeScript and modern JavaScript.
• Extensive experience with React and JavaScript web development frameworks (Next.js preferred)
• Familiarity with OAuth2, JWT, and other authentication/authorization frameworks.
• Experience with CI/CD pipelines and cloud deployment platforms (Vercel, AWS, Azure, or GCP)
• Experience with ORM frameworks and relational databases (Prisma, Drizzle, PostgreSQL)
• Strong understanding of integration patterns (pub/sub, webhook, ETL, etc.).
• Excellent debugging, analytical, and problem-solving skills.

Preferred Experience

• Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and AI application development
• Experience building AI automation workflows with n8n or similar platforms (Make, Zapier, Temporal)
• Experience with embeddings, prompt engineering, and semantic search
• Familiarity with AI orchestration frameworks and agent-based systems

Working Conditions and Physical Requirements

The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation.
Sitting and / or standing - Must be able to remain in a stationary position 50% of the time
Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day.
Environment - remote, work-from-home 100% of the time with travel to client sites

Pay Range Disclosure

At Bugcrowd, we strive for fairness, equality and to create an environment that allows our people to perform at their very best. Our compensation philosophy is to foster a collaborative community that rewards, attracts and retains the best possible talent. The provided salary details are based on US national averages and we retain the flexibility to tailor to the needs of the business.

The national estimate for the current base range for the position of Senior Full Stack Engineer is: $140,400 - $175,500.

This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Key Responsibilities

• Support customers in the design, optimization, and management of electrical infrastructures
• Analyze and improve network performance, reliability, and energy efficiency
• Perform cable design, network sizing, and system modeling
• Conduct network simulations and short-circuit studies
• Provide both technical and cost-related assessments of electrical systems
• Deliver actionable recommendations for infrastructure optimization and long-term sustainability
• Collaborate with cross-functional teams to ensure successful implementation of solutions

Required Qualifications

• Proven experience with applied electrical networks in complex environments such as:
• Data centers
• Semiconductor fabrication facilities
• Airports
• Metro systems
• Industrial sites
• Strong expertise in:
• Cable design
• Network sizing and modeling
• Network simulation
• Short-circuit analysis
• Ability to evaluate both technical performance and financial implications of infrastructure decisions
• Strong customer-facing skills with the ability to explain complex technical topics clearly
• Proficiency with Matlab / Simulink

Preferred Skills

• Experience in energy optimization and sustainability initiatives
• Background in power systems engineering or electrical infrastructure consulting
• Familiarity with industry standards and grid compliance requirements

Salary Range: $90,000-100,000

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience 

Aurora’s Product Security team’s mission is to discover, mitigate, and prevent security risks in the software, hardware, and services developed by Aurora.

Our team is responsible for ensuring the secure design and implementation of secure technologies used by the Aurora Driver as well as continually improving the assurance levels of security across all of Aurora’s Products.  This team is also responsible for developing, contributing and documenting security engineering processes and the resulting product security requirements used by the company. Additionally team members support and perform technical security assessments, threat modeling, security code reviews and vulnerability testing to highlight and document risks. This team works closely with engineers across Aurora as well as 3rd party partners to design and proactively integrate initiatives to enhance security across a wide variety of software or hardware domains and technology stacks.

In this role you will:

• Provide consulting and advisory services to engineering teams heavily focused on automotive cybersecurity
• Work directly with engineering and non-engineering teams to drive improvements in internal processes, procedures and technical fundamentals through threat modeling and requirements development
• Develop, document, improve, implement and execute cybersecurity best practices and processes for autonomous vehicles across internal and external engineering partners
• Perform technical automotive cybersecurity assessments and reviews, research, uncover, and reproduce vulnerabilities, design secure protocols and systems, and write tests and fuzzers to drive architecture changes
• Assess the risks across the Aurora Driver Platform and prioritize high value components (software and/or hardware) for critical and high security vulnerabilities
• Conduct research to identify new and novel attack vectors against Aurora’s products and services
• Review, develop and document secure operational best practices, and provide security guidance for engineers and various internal and external partners 

Required Qualifications:

• Foundational knowledge of Automotive Cybersecurity (ISO21434/UNECE/NHTSA)
• Foundational knowledge of operating system security for Linux
• Foundational knowledge of the CWE Top 25
• Develop, document and execute structured processes and procedures around automotive cybersecurity
• Ability to write proficiently in C++, Golang and Python
• Ability to assess software and/or hardware components with and without full knowledge
• Ability to work well with other assessment members and engineering partners
• Ability to communicate effectively with technical and non-technical audiences
• Experience in one or more of the following: risk assessment, threat modeling, incident and emergency response, OS hardening, vulnerability management, pentesting, offensive security or cryptographic protocols and concepts
• Experience in vulnerability discovery and analysis, design review, and code-level security reviews
• Experience in, and technical knowledge of security engineering, computer and network security, authentication and security protocols, and applied cryptography.
• Experience with assessment, development, implementation, and documentation of a comprehensive and broad set of security technologies and processes

Desirable Qualifications:

• Relevant automotive cybersecurity work experience
• Relevant experience with Automotive Cybersecurity Frameworks (ISO21434/UNECE/NHTSA)
• Relevant work experience in offensive security, penetration testing or red teaming
• Experience implementing various Defense in Depth Strategies to address dynamic threats across various software and hardware stacks.
• Ability and desire to write production-quality code in C++, Golang, or Python
• Experience evaluating the security of software, hardware and services
• Foundational knowledge of embedded firmware security and hardware security, preferably in the robotics or automotive space
• Familiarity with cloud security (AWS) and infrastructure-as-code
• Familiarity with Trusted Platform Modules, HSMs, and trusted boot
• A history of giving back to the security industry via open source contributions, published papers, or conference presentations

The base salary range for this position is $171,000 - $250,000 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.

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 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.

Job Summary

This role is focused on end-to-end exploit development for real-world targets. The specialist will design, develop, and validate novel vulnerability discovery and exploitation capabilities against complex software and systems. Work is conducted at the operating system, binary, and micro-architectural levels, with a strong emphasis on creating new technical capabilities. Success in this position requires the ability to independently translate an under-defined mission objective into a concrete, technically novel capability and the comfort of operating with minimal supervision, incomplete problem definitions, and delayed feedback.

Education, Experience, Knowledge, Skills, and Abilities

• Design, develop, and validate novel vulnerability discovery and exploitation capabilities.
• Conduct expert reverse engineering of binaries (x86-64, ARM64, etc.) using industry-standard tools.
• Identify and exploit real-world vulnerabilities such as Use-after-free, Type confusion, Integer truncation, and Buffer overflow.
• Demonstrate ability to discover new, novel vulnerabilities in complex systems.
• Rapidly understand current vulnerability research and apply findings to identify new instances of vulnerability classes.
• Employ both manual analysis and automated techniques (e.g., fuzzing) for vulnerability discovery.
• Code and debug complex functions in C, Python, and Assembly (x86-64, ARM, etc.).
• Independently manage and execute research objectives, including scoping, research, experimentation, validation, and iteration.
• Travel to customer sites as required.
• Perform on-site for extended periods of time.

Education, Experience, Knowledge, Skills, and Abilities

• Exploit Development:
• Expertise in reverse engineering of binaries (x86-64, ARM64, etc) using tools such as Binary Ninja, Ghidra, or IDA Pro.
• Precise understanding of stack and heap objects and exploit-relevant vulnerabilities (e.g., Use-after-free, Type confusion, Integer truncation, Buffer overflow).
• Vulnerability Discovery:
• Demonstrated ability to discover new vulnerabilities, not just exploit known ones.
• Experience with both manual analysis and automated techniques (e.g., fuzzing).
• Languages:
• Ability to code and debug C, Python, and Assembly (x86-64, ARM, etc).
• Research Ownership & Autonomy:
• Ability to independently translate an under defined mission objective into a concrete, technically novel capability.
• Comfort operating with minimal supervision.
• Clearance & Logistics:
• TS/SCI clearance required (inactive SCI acceptable if SCI-clearable).
• Ability to travel to customer sites as required.

Working Conditions and Physical Requirements

The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation.
Sitting and / or standing - Must be able to remain in a stationary position 50% of the time
Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day.
Environment - remote, work-from-home with travel to customer location in Alabama to perform work in cleared spaces.

Pay Range Disclosure

At Bugcrowd, we strive for fairness, equality and to create an environment that allows our people to perform at their very best. Our compensation philosophy is to foster a collaborative community that rewards, attracts and retains the best possible talent. The provided salary details are based on US national averages and we retain the flexibility to tailor to the needs of the business.

The national estimate for the current base range for the position is $154,800 - $193,500.

This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Job Summary

The Building Automation Engineer will be a self-motivated individual capable of managing our building automation architecture.  As part of our facility infrastructure team this individual will expand and enhance our system and technology for the US facility operations. This position will be responsible for designing, installing, troubleshooting and repairing devices, fixtures, and panels related to the BAS control equipment.  This individual will collaborate with other facilities employees, engineers, and contractors to provide efficient and cost-effective facilities.

 Responsibilities 

• Monitor and maintain building automation systems (BAS) including HVAC, lighting, and access control for optimal performance.
• Program and configure control sequences to improve energy efficiency and operational reliability.
• Respond to system alarms and troubleshoot issues remotely or on-site to minimize downtime.
  • Including some off hours
• Optimize climate control and setback schedules to reduce utility costs and support sustainability goals.
• Track and analyze energy consumption and self-generation data to identify trends and opportunities for cost savings.
• Prepare and submit accurate energy usage reports to headquarters for compliance and corporate sustainability goals.
• Develop and implement energy optimization strategies to reduce utility costs and improve efficiency across facilities.
• Monitor performance of energy systems
• Manage remote facility control for emergency response and operational continuity.
• Document system changes, maintenance activities, and configurations for compliance and reporting.
• Coordinate with facilities, operations, and vendors for repairs, upgrades, and integration projects.
• Ensure OT cybersecurity measures are in place for BAS and related systems to protect critical infrastructure.
• Remain in compliance with current National Electric Code & NFPA 70E

Qualifications 

• B.S Degree in Electrical Engineering, Computer Science or other technical degree
• 3-5 years minimum work experience with Building Automation Systems
• 2-4 years working in Facilities Management environment
• Experience w/ Siemen’s Desigo and/or Niagara AX systems preferred
• Strong knowledge of thermodynamics, heat transfer, electrical and electronic engineering as it applies to HVAC controls & Building Automation Systems
• Strong knowledge of network types and protocols
• Ability to perform basic BAS programming: function libraries, Java, and IEC61131 preferred
• Demonstrates extensive knowledge with HVAC and electrical systems
• Ability to read electrical one line drawings / schematics and mechanical drawings/specs
• Good decision making and project management skills.
• Proficiency of Microsoft Outlook, Word and Excel
• Able to work under pressure and prioritize multiple tasks
• Develops team members through mentoring and coaching in complex subjects.
• Strong communication skills
• Strong self-motivator   

Essential Job Functions

• Domestic travel required
• Must be able to stand for extended periods of time
• Must be able to lift 60 pound
• Must be able to work flexible hours, including evenings, weekends and overtime when necessary.
• Must be able to handle extreme temperatures.
• Must be able to speak and understand English to communicate verbally and in writing
• Must have above average math and statistical analytical skills
• Regular and on-time attendance.

Perks & Benefits

Phoenix Contact offers a generous benefits package that includes medical, dental, and vision coverage, 401k matching, and a generous time off package. There are also a wide variety of additional benefits available including 16 weeks fully paid maternity leave & 10 weeks fully paid paternity leave, life insurance, short & long-term disability, assistance, and more!

Job Summary

The Solution Engineer/SE serve as strategic technical consultants and project leaders, supporting Automation Solutions sales, applied system development, and project initiatives across focused vertical markets. Operating with a high level of autonomy, SEs design, implement, and support advanced solutions that integrate Phoenix Contact’s complex technical products with third-party components to meet specific customer or industry segment needs. These specialists interpret and translate customer specifications into functional concepts, delivering tailored application solutions that address operational challenges and align with industry best practices. Industries served include oil and gas, water/wastewater treatment, building automation, data centers, transportation infrastructure, electric power, automotive, and network & security. Solution Engineers are strategically positioned to drive innovation, organizational agility, and long-term business value.

Responsibilities

• Develop an expert area of specialization (industry/technology) as directed by manager and attain related certifications
• Mentor and advise Associate Solution Engineers, Technical Service, Product Engineering, and Product Management on product performance in the field and suggest design changes to improve product performance and customer satisfaction
• Design training programs and training material to support complex control system projects
• Develop advanced system testing and troubleshooting processes utilizing spectrum analyzers, storage scopes, power monitors, volt meters, and other required test equipment
• Provide applied solution design and engineering support to the Control and Industry Solutions team
• Independently qualify and gather input for designs through functional specification review or by direct customer interaction
• Provide pre-sales technical support and develop a concept framework based on customer requirements and industry standards and practices
• Develop and implement test plans to validate proposed solutions
• Develop and serve as technical lead on ‘proof of concept’ or pilot applications
• Provide project management as required, and advise project team on technical issues throughout the project lifecycle
• Develop, implement, and provide on-site installation start-up support
• Perform application demonstrations together with Phoenix Contact sales engineer and/or PSE at potential customer sites
• Research and understand existing competitive and emerging products and technologies
• Document and internally communicate data supporting the development of new products to meet focus market/customer requirements
• Support the sales effort of Phoenix Contact’s complex technical products when positioned and sold as industry solutions at OEM, end-user, and system integrator focused accounts within primary and supported market segments
• Support Phoenix Contact field personnel and channel partners in technical aspects relating to the sale of systems and solutions
• Develop and conduct control solution presentations and technology seminars to targeted audiences
• Position Phoenix Contact as a technology leader through active involvement in industry related technical associations
• Develop and maintain an expert understanding of industrial networking and communication technologies. Specific expertise in Industrial Ethernet Protocols:  Profinet, Ethernet/IP, and Modbus TCP
• Develop and maintain an expert working knowledge on all Phoenix Contact industrial products with specialized emphasis on IEC 61131 programming, industrial ethernet (wired and wireless), and networked I/O
• Maintain knowledge proficiency through continued participation in industry trade events and conferences including active participation in presenting Phoenix Contact Case Studies, etc.
• Attendance and participation in accordance with corporate policies in local, national, and international meetings

Qualifications

• Minimum Associate’s Technical Degree + equivalent experience. Bachelor’s degree in engineering or technical focus preferred.
• Minimum of 4 years industrial automation experience
• Industry specific controls system design and programming experience
• Motivated self-starter with the ability to work autonomously and as part of a team
• Ability to set priorities and perform simultaneous tasks
• Ability to meet deadlines and adjust to changing priorities to meet business goals
• Excellent written and verbal communication skills
• Proficient computer skills (Word, Excel, PowerPoint)
• Effective interpersonal skills with comfort in delivering group presentations

Essential Job Functions

• 35% Travel Requirement (2% - 5% Overseas)
• Must be able to lift 60 pounds
• Must be able to sit and/or stand for extended periods of time (2-4 hours at a time)
• Must be able to work on a computer for extended periods of time (up to 4 hours at a time)
• Must be able to travel in vehicles (automobiles, trains, and planes) for up to 10 hours
• Must be able to communicate effectively in verbal and written English
• Must comply with company dress code guidelines
• Punctuality and attendance in accordance with company policies
• Timely reporting of expenses
• Regular and on-time attendance.
• This is a hybrid position requiring at least three days in the office, unless otherwise specified.

What’s in it for you?

Phoenix Contact offers a generous benefits package that includes medical, dental, and vision coverage, 401k matching, and a generous time off package. There are also a wide variety of additional benefits available including 16 weeks fully paid maternity leave & 10 weeks fully paid paternity leave, life insurance, short & long-term disability, assistance, and more!

#LI-RD1

Position Overview

As a Security Engineer (Pre‑Sales) at Vectra.ai, you will blend deep technical expertise with strong customer‑facing skills to build trust, influence architectural direction, and drive successful outcomes for our clients. You’ll guide prospects through technical discovery, articulate how Vectra’s AI‑driven detection and response platform solves their most critical security challenges, and deliver compelling demonstrations and proofs‑of‑concept that showcase our value.

Responsibilities

• Pre-Sales support and Technical Account Management associated to your Regional Sales Managers
• Walk customers and partners through demos and problem solving in clear, concise matter by being the subject matter expert on all things Vectra.
• Communicate cross functionally constantly to ensure all key stakeholders are in the loop in order to insure best-of-breed products, tools and documentations.
• Develop and maintain an in-depth technical knowledge of the Vectra product line.
• Identify new opportunities by creating and developing strong technical relationships with customers and channel partners.
• Maintain knowledge at a high technical level of the current security landscape.
• Collaborate with Customers on Technology reviews, product findings, and integration with other technologies they may have.
• Collaborate with other Vectra Engineers on high-level projects to deliver Vectra technologies to our customers.
• Explore and maintain knowledge of Vectra's key competitors.
• Participate in deployment review and forecast calls.
• Participate in design review and release meetings.
• Travel as needed within region.

 Experience and soft skills

• Startup DNA is a must: willing and able to do "whatever it takes" with motivation to find solutions rather than admire the challenge.
• Customer-first behaviour is a must.
• Ability to work hands-in-hands with your Sales counterpart (RSM).
• 5+ years experience in a Technical Account Management or Security Engineering role.
• Large account management experience is required.

Technical qualifications

• Deep understanding of security-focused product lines (CASB, EDR, SIEM or forensics-type platforms) with the ability to translate into value and security best practices.
• Strong knowledge in networking and ability to understand L3 to L7 OSI layers.
• String written (RFP) and verbal communications (Pre-sales presentations and conferences) are a must.
• Good understanding of an attacker progression (Red Team or Pentest). Certifications such as CEH, OSCP, OSCE is a plus.
• Good understanding of Incident Response (Blue Team) methodologies. Certifications such as GNFA is a plus.
• Good understanding of Cloud Security and Network Architectures. Certifications such as AWS Certified Security Specialty (SCS-C01) is a plus.
• Good understanding of Security Processes and methodologies. Certifications such as CISSP is a plus

Overview

As the Industrial Engineer - Warehouse Design & Automation, you will be a technical leader responsible for designing, engineering, and scaling warehouse facilities across a multi-site fulfillment network. Your primary mission is to translate business demand and growth forecasts into data-driven, buildable warehouse designs that optimize throughput, labor efficiency, space utilization, and cost.

This role partners closely with Operations, Real Estate, Facilities, IT, Finance, and external automation vendors to deliver standardized, scalable solutions for greenfield builds, expansions, and retrofits. You will bring a strong systems mindset, deep understanding of material flow, and a bias for simplicity, operability, and long-term sustainability.

What You’ll Do

Warehouse Design & Engineering

• Design end-to-end warehouse layouts for new facilities, expansions, and retrofits, supporting high-throughput fulfillment operations.
• Engineer material flows from inbound receiving through outbound shipping, ensuring efficient, safe, and ergonomic processes.
• Define building-level requirements including dock counts, clear heights, column spacing, power, floor loading, and equipment zoning, in partnership with cross-functional teams.
• Develop and maintain layout drawings, design assumptions, and engineering narratives for leadership, finance, and vendor review.

MHE & Automation Engineering

• Specify, evaluate, and engineer material handling and automation systems including:
• Conveyors, sorters, and divert systems
• Pick modules, pallet flow, case flow, and mezzanines
• AMRs, AGVs, and goods-to-person solutions
• Packaging, labeling, dimensioning, and weighing systems
  
  
• Develop functional specifications, throughput targets, and redundancy strategies for automation systems.
• Partner with integrators and vendors through RFPs, design reviews, FAT/SAT, commissioning, and go-live support.

Capacity Modeling & Data Analysis

• Build capacity, throughput, and labor models using forecasted volumes, SKU profiles, and order characteristics.
• Analyze peak scenarios, seasonality, and failure modes to stress-test designs.
• Quantify trade-offs between labor, automation, space utilization, service levels, and cost.
• Use post-launch operational data to refine assumptions and continuously improve design standards.

Financial Analysis & Business Case Development

• Develop CapEx and OpEx estimates for MHE and automation investments.
• Support ROI, payback period, and total cost of ownership analyses.
• Partner with Finance and Leadership to support capital planning and investment decisions.
• Drive standardization across facilities to reduce engineering variability and lifecycle cost.

Launch Support & Continuous Improvement

• Support warehouse launches and expansions through go-live and stabilization.
• Partner with Operations, Maintenance, and Controls teams to resolve systemic design issues.
• Perform post-launch audits and feed learnings back into network design standards and playbooks.
• Document and maintain reference designs, engineering standards, and best practices.

What You’ll Need

• Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Systems Engineering, or a related field.
• Alternatively, equivalent hands-on experience designing warehouse automation systems may be considered.
• 5+ years of experience in warehouse design, material handling engineering, or automation.
• Proven experience designing high-volume distribution or fulfillment centers.
• Strong analytical and modeling skills, with advanced proficiency in Excel; SQL, Python, or simulation tools are a plus.
• Proficiency in AutoCAD or similar layout and design tools.
  
  

Preferred Qualifications

• Master’s degree in Industrial Engineering, Mechanical Engineering, Systems Engineering, or a related field.
• Experience in large-scale e-commerce, retail, or 3PL fulfillment networks.
• Familiarity with WMS concepts and system integration dependencies.
• Greenfield warehouse launch experience.
• Experience working directly with automation integrators or MHE vendors.
  
  

Key Attributes

• Strong systems thinker with the ability to design for scale, peak, and failure scenarios.
• Data-driven decision maker who can clearly communicate technical trade-offs to non-technical stakeholders.
• Practical, operations-aware engineer who values simplicity, maintainability, and standardization.
• Builder mindset with a desire to create mechanisms, standards, and repeatable solutions.

The IT Systems Administrator is responsible for managing and optimizing Centri’s entire technology ecosystem, ensuring security, reliability, and performance across all platforms. This includes Microsoft 365 and Azure environments, Check Point security infrastructure, and a diverse set of business-critical applications. The role also focuses on integrating modern productivity tools such as Microsoft Copilot and Power Platform (Power Apps, Dataverse, Copilot Studio) into the Microsoft 365 and Azure environments to drive automation and efficiency. The ideal candidate will have hands-on experience with enterprise systems administration, security best practices, and automation, while supporting a hybrid workforce and collaborating across departments.

Core Responsibilities

Microsoft 365 & Azure Administration

• Administer and optimize Microsoft 365 services (Exchange Online, OneDrive, Teams, Teams Phone, SharePoint) and Microsoft Azure resources (VMs, Storage, Networking).
• Integrate Microsoft Copilot, Power Apps, Dataverse, and Copilot Studio into Microsoft 365 and Azure environments to enhance automation, workflows, and business intelligence.
• Oversee roadmap releases for Microsoft 365 and Azure, ensuring proper testing, deployment, and documentation.

Security & Network Infrastructure

• Manage SASE solutions, including FWaaS, ZTNA, CASB, SWG, and VPN/SDP technologies to ensure secure cloud access and robust protection against external threats.
• Manage identity protection and management solutions (Passwordless authentication, MFA, Conditional Access, DLP) and maintain compliance with security standards (SOC 2, ISO 27001).
• Collaborate with Information Security to enforce security policies and respond to incidents.

Enterprise Applications & Business Systems

• Administer and support company-wide systems including:

• Finance & Accounting: FloQast, QuickBooks, Bill.com, NetSuite
• CRM & Marketing: HubSpot
• Audit & Compliance: DataSnipper, Intelligize, Trullion
• Security & Training: Bitwarden, KnowBe4
• Reservation & Scheduling: Skedda

• Ensure integration, uptime, and performance of these platforms while coordinating with vendors and internal stakeholders.

Automation & Optimization

• Develop PowerShell scripts for automation of administrative tasks and reporting.
• Build workflows and apps using Power Apps, Dataverse, and Copilot Studio to streamline business processes.
• Optimize system performance through proactive monitoring and capacity planning.

Disaster Recovery & Business Continuity

• Manage backup and recovery strategies for Microsoft 365, Azure, and critical business systems.
• Support Azure Site Recovery and business continuity planning initiatives.

Endpoint & Device Management

• Administer Microsoft Intune for device compliance, mobile device management, and endpoint security.

Collaboration & Support

• Provide advanced technical support for Microsoft 365, Azure, Windows operating systems, and SaaS applications.
• Train end-users on new features and best practices.
• Maintain confidentiality of all client and employee information.
• Promote collaboration and relationship-building in a hybrid work environment.

• Support Firm initiatives and development opportunities.

 Required Skills/Abilities:

Candidates must have extensive hands-on experience with all of the following:

• Microsoft 365 and Azure administration (Exchange, OneDrive, Teams, SharePoint, VMs, Storage, Networking).
• Integration and administration of Microsoft Copilot, Power Apps, Dataverse, and Copilot Studio within Microsoft 365 and Azure environments.
• Check Point security services (FWaaS, VPN/SDP).
• Identity protection and management (MFA, Conditional Access, DLP).
• PowerShell scripting for automation.
• Experience in API configuration, integration, and troubleshooting.
• Endpoint management via Microsoft Intune and RMM.
• Administration of enterprise SaaS platforms (FloQast, QuickBooks, Bill.com, NetSuite, HubSpot, DataSnipper, Intelligize, Trullion, Bitwarden, KnowBe4, Skedda).
• Strong knowledge of network and SASE solutions infrastructure design and maintenance.
• Excellent problem-solving, troubleshooting, and communication skills.

 Education and Experience

• Bachelor’s degree in Computer Science or related field.
• Minimum of 7 years of experience in IT systems administration.
• Preferred Certifications:

• • Microsoft 365 Certified: Enterprise Administrator Expert
  • Microsoft Certified: Azure Administrator Associate
  • Microsoft Certified: Azure Security Engineer Associate
  • Microsoft Certified: Power Platform Functional Consultant Associate
  • Check Point Certified Security Administrator (CCSA)
  • Microsoft Certified: Security, Compliance, and Identity Fundamentals

Physical Requirements:

• Prolonged periods sitting at a desk and working on a computer.
• Must be able to lift items up to 30 pounds at times.
• Travel will be 25% of the time when necessary.