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 Security Platform Engineer to join our Enterprise Security Engineering team, reporting to the Technical Lead Manager of Security Engineering.

Aurora is scaling its autonomous trucking operations, and we need someone who makes our security tools actually work, not just deployed, but deeply configured, continuously tuned, and fully leveraged. This role is for the practitioner who has spent their career living inside security platforms: the person who knows their EDR better than the vendor's own support team, who can write a SIEM query from memory, and who instinctively knows when an alert is misfiring and exactly why.

This is not a software engineering role. It's a role for an elite security operator — someone with the instincts of a seasoned SOC analyst and the technical depth to own the platforms that power detection, response, and protection at enterprise scale. If you find deep satisfaction in mastering a tool, closing a coverage gap, or hunting down a threat that nobody else noticed, this role was written for you.

In this role you will

• Own the operational health, configuration, and continuous improvement of Aurora's enterprise security platform stack — including EDR/XDR, MDM, SIEM, DLP, IAM/IGA, DNS security, Email security, and PKI — ensuring each tool is tuned, policy-complete, and delivering reliable signal.
• Develop and refine detection rules, correlation logic, and alert policies, reducing noise while ensuring Aurora maintains high-fidelity coverage against real threats.
• Conduct proactive threat hunting across Aurora's security telemetry — forming hypotheses, querying logs, and investigating anomalies before they surface as incidents.
• Serve as the deepest internal expert on Aurora's enterprise security tooling, acting as the escalation point for complex platform issues, misconfigurations, and detection failures.
• Participate in the team's on-call rotation, leading deep-dive investigations into security alerts and incidents and driving triage, containment, and root cause analysis.
• Continuously audit and validate that existing security controls are configured to actually do what they're supposed to do — not just deployed and forgotten.
• Maintain operational runbooks, detection documentation, and platform configuration records, ensuring the team can operate consistently and scale institutional knowledge.

Required qualifications

• 12+ years of hands-on experience in enterprise security operations, security platform administration, or a senior SOC engineering role — with a career built on deep operational ownership of security tooling rather than software development.
• Expert-level proficiency administering and operating at least two enterprise security platforms (e.g., CrowdStrike, SentinelOne, Splunk, Panther, Sentinel, Jamf, Kandji/Iru, Puppet, WorkspaceONE, Intune, Zscaler, Okta, Proofpoint, Wiz, osquery), with strong working knowledge across several others.
• Demonstrated ability to tune and optimize security platforms beyond out-of-the-box configurations — writing custom detection logic, adjusting policy sets, and validating control effectiveness.
• Strong log analysis and threat hunting skills: you know how to build a hypothesis, write the query, follow the thread, and know when to escalate.
• Experience conducting thorough incident investigations — triage, containment, root cause analysis, and post-incident review — and communicating findings clearly to technical and non-technical stakeholders.
• Ability to assess security control effectiveness: not just "is this tool deployed" but "is it configured correctly, covering the right scope, and generating actionable signal."
• Comfort working under pressure in ambiguous, fast-moving situations with competing priorities.

Desirable qualifications

• Scripting ability for automation, log parsing, or workflow improvement (Python, Bash, or similar) — you don't need to be a software engineer, but you can write a script when it saves you an hour.
• Deep familiarity with MITRE ATT&CK as an operational tool for detection gap analysis and threat hunting hypothesis development.
• Experience with AWS security telemetry (CloudTrail, GuardDuty, Security Hub) and integrating cloud signals into a corporate SIEM.
• Familiarity with Zero Trust and identity-centric security models as they apply to policy enforcement in IAM and endpoint platforms.
• Platform-specific certifications such as CrowdStrike Certified Falcon Administrator, Splunk Core Certified Power User, or equivalent — or practitioner certifications like GCIH, GCIA, GCFE, or GCFA.

The base salary range for this position is $171,000 - $247,000 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

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 Security Engineer to join our Enterprise Security Engineering team, reporting to the Technical Lead Manager of Security Engineering.

Aurora is scaling its autonomous trucking operations, and the security foundations protecting our employees, devices, internal systems, and data need to scale with us. We're looking for a deeply technical enterprise security engineer who is as comfortable in a code editor as in a security console — you build the systems that make Aurora's security operations possible. This is a role for someone who can architect robust enterprise security solutions, write the code to implement them, and partner across Engineering and IT to make sure security is embedded from the start, not bolted on at the end.

This is not a security operations-only role. It sits squarely in enterprise security engineering, where the work is designing, building, and owning the platforms, integrations, and automation that power Aurora's internal security posture at scale.

In this role you will

• Own the architecture and implementation of Aurora's enterprise security controls — designing the systems and integrations that protect Aurora's endpoints, identities, internal infrastructure, and SaaS environment.
• Design and build Aurora's security telemetry and detection infrastructure, including log pipelines, SIEM integrations, and alerting frameworks — in partnership with the Security Operations Engineer who owns ongoing tuning and rule development.
• Define and enforce enterprise security standards, conducting architecture and design reviews to ensure alignment with Aurora's security posture and risk tolerance.
• Partner with IT, Infrastructure, and Engineering teams to embed security requirements early — shifting left on corporate IT initiatives before they become technical debt.
• Build automation and tooling that extends the capabilities of Aurora's security platforms, reduces manual operational burden, and scales the team's impact.
• Serve as the escalation point for enterprise security incidents requiring engineering-level investigation or remediation, and participate in the team's on-call rotation.
• Translate security strategy into concrete, executable engineering projects with clear milestones and measurable outcomes.

Required qualifications

• 12+ years of hands-on experience in enterprise security engineering or corporate information security — specifically securing employee-facing systems, endpoints, identities, and internal infrastructure (not product or application security).
• Proficiency in at least one programming language, used in a security context — writing production-quality automation, integrations, or internal tooling (the team primarily uses Go; Python is also common).
• Experience architecting and integrating enterprise security platforms — designing API integrations, automating workflows, and building tooling that extends platform capabilities across domains such as EDR/XDR, MDM, IAM/IGA, DLP, SaaS security, cloud security, or PKI.
• Experience designing and building security telemetry pipelines and detection infrastructure — log ingestion, normalization, SIEM integration, and alerting architecture.
• Experience leading cross-functional security engineering projects — defining scope, driving execution, and aligning stakeholders across Engineering and IT.
• Track record of conducting security architecture reviews and translating findings into actionable, risk-prioritized remediation plans.
• Experience evaluating security posture and identifying systemic gaps, with a bias toward building durable solutions rather than one-off fixes.

Desirable qualifications

• Experience with Zero Trust architecture and identity-centric security models (BeyondCorp-style or similar).
• Familiarity with NIST CSF, MITRE ATT&CK, and CIS Benchmarks as engineering inputs — used to inform what to build and how to validate it, not just as compliance checkboxes.
• Hands-on AWS security experience (SCPs, GuardDuty, Security Hub, IAM, etc.) and familiarity with integrating cloud security signals into a corporate security platform.
• Experience with applied cryptography and PKI in a production enterprise environment — certificate lifecycle management, CA design, or secrets management.
• Familiarity with securing AI/ML platforms or applications built on LLMs, RAG pipelines, or MCP-based architectures.
• Security certifications such as CISSP, GCED, GREM, or similar (valued but not required).

The base salary range for this position is $171,000 - $247,000 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.

#Mid-Senior 

The role 

We are seeking an Events Marketing Manager, East Region to lead the planning and execution of high-impact regional marketing events that drive brand visibility, executive engagement, and measurable pipeline growth.

In this role, you will serve as the regional event authority—owning the operational excellence, production leadership, vendor management, and attendee experience across major industry conferences, hosted events, partner activations, roadshows, workshops, and regional programs.

Working in close alignment with regional sales and marketing leadership, you will ensure every event delivers business impact with precision, professionalism, and brand consistency.

Location: This is a remote role within the United States. Candidates located in the Boston Metro, NYC Metro, DC Metro, and Philadelphia (PA) are preferred. Strong candidates based in the Eastern time zone will also be considered.

Your responsibilities will include: 

Regional Strategy & GTM Planning

• Define and execute the East Region field marketing plan aligned to Nebius’ North America GTM strategy, revenue targets, and AI-cloud growth objectives.
• Identify priority verticals and clusters in the region (enterprise AI, finance, healthcare, retail, and media & entertainment).
• Translate global campaigns into localized programs that resonate with technical and executive buyers.

Sales & Partner Alignment

• Partner with regional sales leaders, solutions architects, and business development to align on pipeline coverage, target accounts, and co-marketing initiatives.
• Collaborate closely with Vertical GTM team leads to ensure field programs reinforce priority industries, solution narratives, and territory goals—creating a unified GTM motion from awareness through pipeline conversion.
• Support regional account-based marketing (ABM/ABX) motions for top enterprise and strategic accounts.

Field & Partner Campaign Execution

• Plan, manage, and execute regional events, workshops, executive roundtables, and innovation labs showcasing Nebius’ AI/ML and NeoCloud capabilities.
• Build developer and data-science community engagement through hackathons, meetups, and partnerships with regional universities and AI accelerators.
• Manage regional sponsorships and Nebius presence at high-impact industry conferences (e.g., AWS re:Invent, NVIDIA GTC, MIT AI Conference).

Insights & Measurement

• Track and analyze field performance metrics: leads generated, pipeline influenced, partner-sourced opportunities, and ROI.
• Capture real-time feedback and customer insights from the field to help shape product positioning, content strategy, and global messaging.
• Use intent data and CRM analytics to optimize account targeting and campaign efficiency.

Budget & Operations

• Own the East Region field marketing budget—forecast spend, manage vendors, and ensure strong ROI discipline.
• Maintain operational excellence through collaboration with demand generation, marketing operations, and creative teams.

Cross-Functional Collaboration

• Work closely with Product Marketing, Partner Marketing, and Sales Enablement to deliver cohesive storytelling and thought leadership in the field.
• Contribute to global initiatives while serving as the regional voice to headquarters—advocating for East-region opportunities, challenges, and innovations.

We expect you to have: 

• 7+ years of B2B field and partner experience in cloud, AI, or enterprise tech, with proven pipeline impact.
• Deep understanding of AI/ML infrastructure, data platforms, and cloud ecosystems (AWS, Azure, Google Cloud, or similar).
• Proven ability to plan and execute localized marketing programs across diverse markets in the Eastern U.S.
• Hands-on experience with account-based marketing, partner co-marketing, and demand-generation tools (Salesforce, Marketo, HubSpot, 6sense).
• Strong analytical mindset; comfortable with dashboards, campaign metrics, and ROI analysis.
• Exceptional communication, collaboration, and stakeholder-management skills across sales, partners, and technical audiences.
• Bachelor’s degree in marketing, Business, or related field (MBA preferred).
• Willingness to travel 25 - 30% for events, team and community engagements.

Key employee benefits in the US:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $150k - $185k OTE based on your experience.

About the Opportunity

We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

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.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

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 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

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

{INCLUDE ONE OF THE BELOW FOR POSTING LOCATION IDENTIFICATION}

#LI-REMOTE

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

The Future Standard Global Engineering team is seeking an Engineering Analyst to collaborate with all members of the Global Engineering group and broader business units in support of firmwide technical objectives. This role plays a pivotal part within the organization, engaging stakeholders across Sales, Operations, Marketing, and Research. The Engineering team provides essential technical leadership throughout the firm, primarily focused on enhancing value and efficiency through data cleansing, process automation, and the ongoing improvement of business applications. The role will give deep exposure to industry leading vendors, cutting edge Technology providers, and internal subject matter experts.

RESPONSIBILITIES:
— Develop expertise and collaborate with team members on business areas, systems and relevant data to support critical decision-making. 
— Participate as a key contributor in impactful projects within Global Engineering.
— Engage in design, development, implementation and/or optimization of solutions, improving our technical platforms and competitive position.
— Deepen technical capabilities in areas such as backend processing services using Java, Springboot, NodeJS, Python; user interface development using frameworks like Reactjs/Nextjs; RAG apps builds for AI driven non-structured data processing using approved LLM integrations; complex query authoring using SQL and relational databases.
— Use AI based code assistants to improve development speed and generate test cases detailed automated tests and debugging across the stack.
— Collaborate and communicate with colleagues and stakeholders.
— Support tracking of key deliverables, issues and prioritization of tasks within an agile framework.
— Document designs, solutions, processes and suggest ideas to improve workflows and systems.
— Design and implement robust solutions to improve the scalability and efficiency of a configuration-driven technical platform.
— Investigate system events to track, investigate, and resolve defects as required.

QUALIFICATIONS: 
— Bachelor’s degree in Engineering, Computer Science, Mathematics, Information Technology, or a related field required.
— Prior experience with SQL, R, Scala or Python languages. 
— Proficiency in organizational skills with ability to work on multiple projects simultaneously and keep order in dynamic environment. 
— Systematic thinking with capability of considering edge cases and boundary conditions.
— Exposure in development skills with at least one programming language - Python, Java.
— Sound understanding of Data structures and Algos.
— Knowledge of AWS products and Microsoft Azure (e.g. S3, EC2, Lambda).
— Knowledge of Snowflake, dbt or other cloud tools.
— Effective communicator with verbal and written proficiency.
— Team player who enjoys building trusted partnerships with colleagues and stakeholders.

This position is not eligible for work visa sponsorship.

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.  

Company Description

Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.

Job Description

We are seeking an experienced Lead AI Engineer to lead our Agentic AI team as we scale our agentic offerings across all levels of the US government. Over the past year, we have seen the rapid adoption of our agent, Ace. We expect Ace to be handling much more complex tasks and workflows end-to-end and/or in cooperation with a human user as time goes on. The team is striving to make Ace an even more effective agent, focusing on planning, reliable execution over longer time horizon tasks, scaled tool use, Ace Skills, memory, and inter-agent coordination.

In order to do this job well, we are looking for someone who can demonstrate a project built on LLMs that showcases your skill at getting them to do complex tasks.

• Experience leading agentic system development from ideation through production, including technical design, architecture decisions, and day-to-day leadership of Data Scientists and Machine Learning Engineers
• Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations
• Experience integrating and working with agent frameworks like Claude Agent SDK or OpenAI Agent SDK
• Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics).
• Experience working in highly ambiguous environments, and operating with urgency
• Lead Agile ceremonies and technical planning for the Agentic AI team

Strong Candidates have:

• Experience designing and deploying complex agentic systems using LLMs
• Hands-on work with multi-agent coordination, routing, and tool orchestration
• Passion for building autonomous and semi-autonomous systems that solve real customer problems

This role is a full-time position located out of our office in Pittsburgh, PA. 

This role may require up to 10% travel

Scope of Responsibilities 

• Designs and builds multi-agent systems with tool use, memory, routing, and planning
• Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing
• Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle
• Work with our Product and Implementation organizations to find solutions to our most vexing challenges applying agents to our customer problems

Qualifications

• U.S. Citizenship is required

Required Skills:

• Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field
• Minimum 3 years of experience building and deploying ML or LLM-powered systems in production environments
• Minimum 2  years of experience leading or mentoring engineering teams in production environments
• Practical experience in building, developing, and productionizing machine learning systems
• Advanced software skills in Python
• Experience with common LLM algorithms and implementations
• Hands-on experience with AWS and cloud infrastructure
• A strong desire to learn and investigate new technologies
• Familiarity with Git source control management
• Ability to work collaboratively with little supervision
• A burning desire to work in a challenging fast-paced tech environment

Desired Skills:

• Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
• Experience in or exposure to the nuances of a startup or other entrepreneurial environment
• Experience with Claude Code and GenAI coding best practices.

We firmly believe that past performance is the best indicator of future performance.  If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.

Govini is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

As an AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization’s data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.

This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA

Responsibilities

Technology:

• Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.
• Contribute to the technical design and architecture development for parts of the solution. Ensure that best practices are defined and adhered to
• Diagnose and resolve issues with deployed systems (as part of level 3 support).
• Become technically solid for the cloud data platform.
• Evaluate and resolve technical debt, engage in platform modernization and build reliable features.
• Recommend and implement best practices and standards for the cloud data platforms.

People and Leadership

• Work closely with multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.
• Interface across multiple engineering teams and engineering groups working on various parts of the platform.
• Mentor and develop junior team members.

Process

• Ensure efficient operation of Scrum within the team.
• Analyze and update tools and processes when required.
• Measure key team metrics.

Qualifications

• Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Experience in lieu of a degree may be considered. 
• 3+ years of experience in cloud data engineering. 
• 2+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.
• 1+ years working with ETL tools (MS SSIS or similar).
• Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server, Postgres and Redshift preferred).
• Excellent communication skills in English, with the ability to collaborate effectively with cross-functional teams and stakeholders.

Additional experience that is a plus to have:

• AWS Certified Data Engineer – Associate
• AWS Certified Cloud Practitioner
• AWS Certified AI Practitioner

Shift4 is expanding globally and seeking a key Senior AWS Cloud Data Engineer to join our team of world-class in-house engineers that will contribute to the technology, architecture and engineering delivery across an AWS Cloud Data Services team.

As a Senior AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization’s data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.

This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA

Responsibilities

Technology:

• Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.
• Contribute to the technical design and architecture development for parts of the solution. Ensure that best practices are defined and adhered to
• Diagnose and resolve issues with deployed systems (as part of level 3 support).
• Become a technical expert for the cloud data platform.
• Evaluate and resolve technical debt, engage in platform modernization and build reliable features.
• Recommend and implement best practices and standards for the cloud data platforms.

People and Leadership

• Work closely with multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.
• Interface across multiple engineering teams and engineering groups working on various parts of the platform.
• Mentor and develop junior team members.

Process

• Ensure efficient operation of Scrum within the team.
• Analyze and update tools and processes when required.
• Measure key team metrics.

Qualifications

• Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Experience in lieu of a degree may be considered. 
• 5+ years of experience in cloud data engineering. 
• 4+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.
• 2+ years working with ETL tools (MS SSIS or similar).
• Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server, Postgres and Redshift preferred).
• Excellent communication skills in English, with the ability to collaborate effectively with cross-functional teams and stakeholders.

Additional experience that is a plus to have:

• AWS Certified Data Engineer – Associate
• AWS Certified Cloud Practitioner
• AWS Certified AI Practitioner

#LI-BN1

Shift4 is expanding globally and we are seeking a Senior Technical Business Analyst with a Business Intelligence focus to join our Information Technology Group. In this role, you will gather and translate business requirements into actionable insights, ensuring the effective flow of information and data across the organization. You will collaborate with stakeholders to define, validate, and deliver business intelligence (BI) solutions, leveraging strong analytical skills, technical expertise, and communication abilities to support organizational goals. 

This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA

Responsibilities

• Collaborate with stakeholders to understand and translate business needs into clearly defined, documented requirements for bugs, enhancements, and system developments.
• Create and maintain deliverables including vision/scope documents, requirements, mockups, designs, and flow diagrams.
• Manage stakeholder requests using established SDLC practices to maintain accountability and traceability.
• Conduct User Acceptance Testing (UAT) with stakeholders to validate that deliverables meet requirements and customer needs.
• Provide support in creating and tracking project deliverables and work items in the ticket tracking system.
• Contribute to and enforce the adoption of Business Intelligence solutions across teams.
• Support the development of key metrics and shared goals to measure success.
• Ensure BI governance, data accuracy, and effective communication of insights to cross-functional stakeholders.

Qualifications

• 5+ years of experience in business analysis of data movement and business intelligence reports.
• Advanced experience with requirements elicitation, stakeholder management, and solution documentation.
• Proficiency in BI tools such as Tableau and ETL tools.
• Experience with data sources including AWS Redshift, Postgres, SQL Server, Amazon Athena, Excel, and flat files.
• Strong SQL skills (T-SQL, MySQL, PostgreSQL).
• Experience working with large datasets, Enterprise Data Warehouses, and Dimensional Databases.
• Advanced understanding of SDLC processes and experience with Agile frameworks (KANBAN, Scrum).
• Familiarity with Jira and Confluence is a plus.
• Excellent organizational, communication skills (English) and problem-solving skills with the ability to prioritize multiple tasks and adapt to changing priorities.
• Bachelor’s degree in Computer Science, Information Systems, or related field Experience in lieu of a degree may be considered. 
• Certifications in Agile Scrum or PMP are a plus to have.

#LI-BN1

The ML Data Service team is seeking a highly experienced and motivated Staff Tech Lead Manager (TLM) to lead the development and operation of our core machine learning data infrastructure. This critical role requires a blend of deep technical expertise in machine learning systems, large-scale data processing, and proven leadership ability to manage both individual contributors and technical direction.

The ML Data Service team is responsible for providing reliable, high-quality, and easily accessible data for all ML use cases. As owners of the "Data Engineering" phase of the ML lifecycle, they manage the most critical input to any ML system: the data itself. Our infrastructure supports hundreds of data pipelines and petabytes of data, directly enabling the success of our flagship products.

What You'll Do

Technical Leadership and Strategy

• Define and drive the technical roadmap and long-term strategy for the ML Data Service platform, ensuring it meets the evolving needs of ML engineers across the company.
• Serve as the top technical expert for the team, architecting complex, highly scalable, and fault-tolerant systems for data ingestion, transformation, and serving.
• Lead the technical vision for the provision of diverse training data sources, including ingestion from real-world drive logs, resimulation outputs, autolabelling pipelines, and human labelling efforts.
• Drive the implementation of robust mechanisms for monitoring data quality, tracking data lineage, and ensuring overall data governance and compliance.
• Provide hands-on technical guidance, design reviews, and mentorship to engineers, ensuring the adoption of best practices, high code quality, and operational excellence.

Management and Team Growth

• Manage a team of software engineers, including performance reviews, career development, coaching, and mentoring.
• Act as a technical leader-manager hybrid, balancing 50% management duties with 50% technical leadership, architecture, and hands-on coding/design.
• Drive hiring and recruitment efforts to attract, onboard, and retain top engineering talent, fostering a diverse and inclusive team culture.
• Champion engineering excellence, operational rigor, and a strong sense of ownership within the team.

Collaboration and Execution

• Collaborate closely with ML model teams and Infrastructure teams to understand data needs and deliver solutions that accelerate ML development cycles.
• Lead the execution of major projects, ensuring on-time delivery and alignment with business objectives.
• Communicate complex technical concepts and strategic direction effectively to both technical and non-technical stakeholders, including executive leadership.

What We're Looking For

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 8+ years of experience in software engineering, with a strong focus on large-scale data systems, distributed systems, or ML infrastructure.
• 3+ years of experience managing engineering projects with a track record of delivering efficient tools and infra. Manger experience  of building and scaling high-performing teams is a strong plus (including mentoring, performance management, and career development).
• Deep expertise in data processing technologies (e.g., Spark, Flink, Beam, distributed databases) and experience with cloud platforms (e.g., AWS, GCP, Azure).
• Demonstrated experience designing, implementing, and operating production-grade ML data pipelines or feature stores.

This role is hybrid from our Pittsburgh office and requires two in-office days per week, ideally Tuesday and Thursday.

The ML Data Service team is seeking a highly experienced and motivated Staff Tech Lead Manager (TLM) to lead the development and operation of our core machine learning data infrastructure. This critical role requires a blend of deep technical expertise in machine learning systems, large-scale data processing, and proven leadership ability to manage both individual contributors and technical direction.

The ML Data Service team is responsible for providing reliable, high-quality, and easily accessible data for all ML use cases. As owners of the "Data Engineering" phase of the ML lifecycle, they manage the most critical input to any ML system: the data itself. Our infrastructure supports hundreds of data pipelines and petabytes of data, directly enabling the success of our flagship products.

What You'll Do

Technical Leadership and Strategy

• Define and drive the technical roadmap and long-term strategy for the ML Data Service platform, ensuring it meets the evolving needs of ML engineers across the company.
• Serve as the top technical expert for the team, architecting complex, highly scalable, and fault-tolerant systems for data ingestion, transformation, and serving.
• Lead the technical vision for the provision of diverse training data sources, including ingestion from real-world drive logs, resimulation outputs, autolabelling pipelines, and human labelling efforts.
• Drive the implementation of robust mechanisms for monitoring data quality, tracking data lineage, and ensuring overall data governance and compliance.
• Provide hands-on technical guidance, design reviews, and mentorship to engineers, ensuring the adoption of best practices, high code quality, and operational excellence.

Management and Team Growth

• Manage a team of software engineers, including performance reviews, career development, coaching, and mentoring.
• Act as a technical leader-manager hybrid, balancing 50% management duties with 50% technical leadership, architecture, and hands-on coding/design.
• Drive hiring and recruitment efforts to attract, onboard, and retain top engineering talent, fostering a diverse and inclusive team culture.
• Champion engineering excellence, operational rigor, and a strong sense of ownership within the team.

Collaboration and Execution

• Collaborate closely with ML model teams and Infrastructure teams to understand data needs and deliver solutions that accelerate ML development cycles.
• Lead the execution of major projects, ensuring on-time delivery and alignment with business objectives.
• Communicate complex technical concepts and strategic direction effectively to both technical and non-technical stakeholders, including executive leadership.

What We're Looking For

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 8+ years of experience in software engineering, with a strong focus on large-scale data systems, distributed systems, or ML infrastructure.
• 3+ years of experience managing engineering projects with a track record of delivering efficient tools and infra. Manger experience  of building and scaling high-performing teams is a strong plus (including mentoring, performance management, and career development).
• Deep expertise in data processing technologies (e.g., Spark, Flink, Beam, distributed databases) and experience with cloud platforms (e.g., AWS, GCP, Azure).
• Demonstrated experience designing, implementing, and operating production-grade ML data pipelines or feature stores.

This role is hybrid from our Boston and Pittsburgh offices and requires two in-office days per week, ideally Tuesday and Thursday.

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).

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services.

You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement.

What you'll be doing:

• Team Leadership & Management:
• Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration.
• Provide technical guidance, mentorship, and career development opportunities to team members.
• Foster a collaborative and inclusive team environment.
• Define team goals, priorities, and roadmap in alignment with company objectives.
  
  
• Technical Strategy & Execution:
• Define the technical vision and strategy for ML acceleration across the organization.
• Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.
• Design, develop, and implement scalable and efficient ML acceleration solutions.
  
  
• Cross-functional Collaboration:
• Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly.
• Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.
• Act as a technical expert and advocate for ML acceleration initiatives across the company.
  
  
• Impact & Measurement:
• Regularly measure and report on the impact of acceleration efforts.
• Continuously seek opportunities for further optimization and innovation.
  
  

What we're looking for:

• Experience:
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
• 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems, and model performance optimization.
• 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams.
• Extensive experience with large-scale ML model training and deployment, ideally in a production environment.
• Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure).
  
  
• Technical Skills:
• Deep expertise in ML frameworks such as PyTorch or JAX.
• Proficiency in performance profiling and optimization techniques for Deep Neural Networks.
• Strong programming skills in Python; C++ experience is a plus.
• Knowledge of MLOps principles and practices.
  
  
• Leadership Skills:
• Exceptional leadership, communication, and interpersonal skills.
• Ability to attract, hire, and retain top engineering talent.
• Proven ability to drive complex technical projects from conception to completion.
• Strong problem-solving skills and a proactive, results-oriented mindset.
• Ability to thrive in a fast-paced, dynamic environment.

Mission Summary:

We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services.

You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement.

What you'll be doing:

• Team Leadership & Management:
• Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration.
• Provide technical guidance, mentorship, and career development opportunities to team members.
• Foster a collaborative and inclusive team environment.
• Define team goals, priorities, and roadmap in alignment with company objectives.
  
  
• Technical Strategy & Execution:
• Define the technical vision and strategy for ML acceleration across the organization.
• Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.
• Design, develop, and implement scalable and efficient ML acceleration solutions.
  
  
• Cross-functional Collaboration:
• Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly.
• Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.
• Act as a technical expert and advocate for ML acceleration initiatives across the company.
  
  
• Impact & Measurement:
• Regularly measure and report on the impact of acceleration efforts.
• Continuously seek opportunities for further optimization and innovation.
  
  

What we're looking for:

• Experience:
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
• 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems and model performance optimization.
• 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams.
• Extensive experience with large-scale ML model training and deployment, ideally in a production environment.
• Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure).
  
  
• Technical Skills:
• Deep expertise in ML frameworks such as PyTorch or JAX.
• Proficiency in performance profiling and optimization techniques for Deep Neural Networks.
• Strong programming skills in Python; C++ experience is a plus.
• Knowledge of MLOps principles and practices.
  
  
• Leadership Skills:
• Exceptional leadership, communication, and interpersonal skills.
• Ability to attract, hire, and retain top engineering talent.
• Proven ability to drive complex technical projects from conception to completion.
• Strong problem-solving skills and a proactive, results-oriented mindset.
• Ability to thrive in a fast-paced, dynamic environment.

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.

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.

We are searching for a Staff Safety Data Scientist on the Safety Analysis team who is a technical leader and go-to expert for risk and safety guidance, leveraging deep expertise in data science to lead critical safety research. Your insights will drive the safety strategy and external safety communications, including the development of industry-leading, benchmark safety studies and frameworks. The role requires a strong background in risk and hazard assessment and exceptional communication and interpersonal skills. You will be responsible for applying advanced statistical analysis and probabilistic modeling to support the safety case, inform hardware and software decisions, and identify critical risk factors. You will collaborate with diverse stakeholders across engineering, operations, and product.

In This Role, You Will:

• Lead the development of novel quantitative data analytics using both proprietary (Aurora-logged, sensor, system, integration testing data) and publicly available data (CRSS, FARS, state-level information).
• Author and present technical analyses and findings to diverse internal and external audiences, including stakeholders, authoritative bodies, and industry forums.
• Design and automate data collection and analysis to support ongoing safety programs.
• Extract insights from historical system safety performance to develop leading indicators for future performance forecasting. Analyze safety data from operational vehicles, crash metrics, and near-miss incidents to inform safety strategies and decision-making.
• Develop statistical models and algorithms to predict potential risks and prevent incidents, improving the safety performance of autonomous systems.
• Model self-driving vehicle behaviors at the system and subsystem levels.
• Develop and maintain reports and expressions of baseline risk coverage and application in operations.
• Design and develop expressions of risk benchmarking from similar industries.
• Create dashboards and reports for communicating risk, ranking, and anomalies.
• Present safety research findings to senior leadership and recommend actionable improvements to safety protocols and operational systems.
• Mentor and lead junior team members, fostering their professional growth.

Required Qualifications

• Bachelor’s degree in Data Science, Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent applicable technical experience.
• 7+ years of progressive experience solving large-scale complex problems.
• Demonstrated experience in a safety related domain (e.g., transportation, aerospace, robotics, medical devices).
• Strong understanding of safety principles and risk assessment methodologies; with a proven track record of using data science techniques to solve safety challenges and mitigate risks in a dynamic environment.
• Deep command of statistical methods, probabilistic modeling, and performing rapid exploratory data analysis.
• Expertise in data science tools (e.g., Python, SQL, R), statistical modeling, machine learning, predictive analytics, and visualization software (e.g., Tableau, Power BI).
• Adept at querying, analyzing, and visualizing large datasets.
• Excellent communication and presentation skills, with the ability to convey complex information to various audiences.
• Strong leadership skills, with the ability to provide guidance and mentorship.
• Ability to work independently, as part of a cross-functional team, or as a project lead.

Desirable Qualifications

• Advanced degree in Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent applicable technical experience.
• Experience working in safety and risk, ideally complemented by a portfolio of publications, reports, or conference presentations.
• Familiarity with rapidly scaling operational environments.
• Proficient in working with advanced data transformation tools such as DBT.
• Skilled in building and deploying using Amazon Web Services (AWS) tools.
• Background in the Autonomous Vehicles, Aerospace, or Robotics domains.

The base salary range for this position is $171,000 - $247,000 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 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!

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a talented Senior Sales Engineer to join our Enterprise, Existing Business sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and supporting a regimented proof-of-value process throughout the sales cycle.

This is a full-time, remote position based in US with strong preference for Central and East Coast timezones.

Technologies You’ll Use

AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana Linux, Windows, Python

What You’ll Do

• Work with Enterprise customers to understand their business, their use cases, and their data replication requirements

• Work cross functionally with your internal counterparts (AEs, Professional Services, BDRs, marketing, and support) to build and maintain a holistic account ownership plan

• Develop and deliver technical presentations to Enterprise audiences

• Ensure the technical win by running a tight proof-of-value process

• Work closely with Fivetran’s Product and Engineering teams to ensure alignment of our solutions to Enterprise customer needs

• Develop and maintain relationships with key Enterprise customers and partners

• Stay up-to-date on the latest technologies and trends in our industry

Skills We’re Looking For

• 5+ years in data replication, sales engineering, or related technical field

• Proven ability to work cross-functionally to support large enterprise customers

• Strong technical background covering database replication, cloud infrastructure, and data replication technologies

• Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools

• Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders

• Strong problem-solving and analytical skills

Bonus Skills

• Experience with Oracle, SQL Server & SAP databases

• Hands on experience with other data replication or ETL tools

• Experience with self-hosted software applications and supporting infrastructure

• Hands on networking experience both in the cloud and on-premise

This position qualifies for Fivetran’s incentive plan, and it’s common for employees in this role to achieve the total on-target earnings.

As part of our commitment to setting new hires up for success, all new sales team members attend a one-week, in-person Revenue Bootcamp during their second week at Fivetran. This bootcamp, held at one of our designated company locations, requires travel and is a mandatory part of the onboarding process.

#LI-REMOTE #LI-MT2

Director, Software Engineering

Department: Product Development

Reports to: SVP, Software Engineering

The Director, Software Engineering is responsible for the delivery of Enterprise SaaS products supporting the Clinical Trial industry, overseeing multiple on-shore and off-shore development teams and the delivery of multiple products and initiatives. The Director, Software Engineering provides strategic planning and tactical execution management, agile release planning across multiple teams, process and tool design, resource management, and continuous improvement. The role demands a blend of technical and business acumen, strategic and tactical focus, and an ability to balance architectural best practice and innovation pragmatism. In a typical business day, the Director, Engineering may find themselves pair-programming with developers on a priority feature or defect and briefing the C-suite on roadmap direction and key technical decisions.  

Responsibilities:

• Works with the SVP of Engineering to build a technical vision for the product line.
• Explores new technologies for future planning and potential implementation and evaluates and identifies appropriate technology to deliver business objectives.  
• Ensures engineering best practices are defined and met across teams and develops and governs technical standards to ensure adherence. 
• Collaborates with architects and principal engineers in the technical design of initiatives and business priorities. 
• Experience leading distributed or cross-functional teams globally, including recruiting, mentoring, and retaining team members in a continuous improvement environment. Provides leadership and professional growth with the goal to build our next generation of engineering leaders. 
• Extensive knowledge of enterprise architecture patterns, microservices, and distributed systems design 
• Experience with enterprise SaaS architecture and development in a product-driven environment, including multi-tenancy, scalability, and platform reliability at scale 
• Fluency in data architecture concepts including data models, data warehouses, analytical platforms, and modern data mesh or lakehouse patterns 
• Familiarity with service portfolio management, API governance, and technical debt prioritization at the enterprise level 
• Works closely with Product Management and Architecture to discover business requirements and technical approach for product initiatives and features. 
• Supports teams in the discovery and design of product backlog items and identifies and manages cross organization dependencies. 
• Develop Proof of Concept solutions to demonstrate technical design and can dive into the code and pair program with engineers as necessary.  
• Initiates and drives continuous improvement initiatives, challenges self and teams to continuously grow and achieve new levels of success. 
• Will be held accountable for the design, development, and delivery of Suvoda product and solutions.  
• A “team-player” with the ability to work within a highly collaborative environment. 
• A creative and critical thinker that is able to confidently express ideas in an articulate, concise manner. 

Requirements:  

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, Engineering or equivalent relevant work experience and/or training. 
• At least 10 years of progressive experience in the software industry, including at least 5 years in a leadership position. 
• Proven experience delivering cloud-native applications on AWS, including IaC tooling (Terraform), container orchestration (EKS), and cloud cost optimization
• Good working knowledge of Python, Django ORM, Django REST Framework, and Angular for building and maintaining scalable backend and frontend services; hands-on familiarity with event-driven cloud service architectures leveraging AWS Lambda, DynamoDB, ElastiCache (Redis), and Postgres RDS 
• Strong experience managing people and teams; setting goals, providing clear technical direction, and holding teams accountable for delivering business value. 
• Strong experience with software development best practices and tooling, agile testing, developer operations, continuous integration and delivery, and site reliability engineering. 
• Relevant technical knowledge of enterprise architecture, cloud services, cloud development, containerization, business domain modelling, data warehouses and analytical platforms. 
• Proven experience in Agile Software Development methodology. 

Nice to Have:

• Hands-on experience adopting and governing AI coding assistants (e.g., Claude, GitHub Copilot, Cursor) across engineering teams, including establishing standards for responsible use, prompt engineering best practices, and measuring productivity impact
• Familiarity with Anthropic's Claude API or Claude Code for agentic developer workflows, including task automation, code generation pipelines, and AI-assisted code review
• Experience integrating LLM-powered tooling into the SDLC — such as AI-assisted test generation, documentation automation, or intelligent PR summarization
• Demonstrated ability to lead organizational change around AI adoption — including upskilling teams, establishing guardrails, and balancing developer autonomy with governance
• Familiarity with prompt engineering principles and the ability to coach engineers on effective human-AI collaboration patterns 

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!

Data Engineer

Department: Product Development 

Reports to: Senior Manager, Data Engineering 

Suvoda is seeking a recent graduate with a passion for data and a strong technical foundation to join our Product Development team. This is an opportunity to launch a data engineering career at Suvoda — a global clinical trial technology company where your work directly helps advance human health. 

As a Data Engineer, you’ll join a collaborative team building a modern, cloud-native data platform. You’ll help build domain-oriented data products using GraphQL APIs and contribute to near real-time reporting through AWS DMS replication to Aurora PostgreSQL.

Responsibilities: 

• Assist in implementing a data mesh architecture using GraphQL APIs to expose domain-owned data products. 
• Help build and maintain an AWS-based data lake using S3, Glue, Lake Formation, Athena, and Redshift. 
• Develop and maintain ETL/ELT pipelines using AWS Glue and PySpark for batch and streaming data workloads. 
• Support AWS DMS pipelines to replicate data into Aurora PostgreSQL for near real-time analytics. 
• Follow best practices for data governance, quality, observability, and API design. 
• Collaborate with product, engineering, and analytics teams to deliver reliable data solutions. 
• Contribute to CI/CD and automation efforts for data infrastructure and pipelines. 
• Stay curious — explore emerging tools and share ideas that could make our platform even better. 

Requirements: 

• Bachelor’s degree in technical fields such as Computer Science or Mathematics. 
• Strong foundational skills in Python and SQL — you’re comfortable writing queries and scripts from scratch. 
• Academic or project experience with data engineering concepts: pipelines, data modeling, or ETL/ELT workflows. 
• Exposure to cloud platforms, particularly AWS (coursework, personal projects, or internships all count). 
• Familiarity with data structures, distributed systems, or database design — you understand the “why” behind the tools. 
• A collaborative mindset and strong communication skills — you ask good questions and explain your thinking clearly. 
• A genuine enthusiasm for data and a desire to keep learning in a fast-moving environment. 

Nice to Have:

• Master’s degree or relevant certifications. 
• Experience with event-driven architectures (e.g., Kafka, Kinesis). 
• Familiarity with data cataloging and metadata management tools. 
• Awareness of data privacy and compliance standards (e.g., GDPR, HIPAA). 
• Exposure to agile development and DevOps practices. 

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.

About Suvoda:
Suvoda is a global clinical trial technology company shaping digital experiences that enable clinical trial sponsor and site professionals to take full command over the inherent logistical complexity behind mission-critical and time-sensitive patient interactions in life-sustaining studies for therapeutic areas such as oncology, central nervous system, and rare disease. Headquartered in the greater Philadelphia area, with offices in Bucharest and Iasi, Barcelona, Portland, OR, and Tokyo, JP, we’ve experienced impressive year-over-year growth and are growing our teams across the globe. Learn more about us on our website!

As a Software Developer on Suvoda’s Product team, you’ll design and build clinical trial software that directly supports mission-critical, time-sensitive patient interactions in life-sustaining studies across oncology, CNS, and rare disease. You’ll work in agile, cross-functional teams to deliver high-quality features and services, with a relentless focus on patient safety and the integrity of clinical study data. Here, your code doesn’t just ship product—it helps sponsors, sites, and patients navigate some of the most complex, high-stakes trials in the world, while you grow your craft alongside experienced engineers in a modern, continuously improving SDLC.

Responsibilities: 

• Design, develop, and support clinical trial software with emphasis on patient safety and integrity of clinical study data
• Review product requirements and verify that all requirements can be implemented
• Assist with the creation of technical design and implementation documentation
• Design and code software applications and fix defects
• Provide unit testing coverage for delivered code
• Work with others to ensure timely delivery of high-quality code
• Manage software deployment into all environments and complete all required documentation
• Assist support team with troubleshooting and resolution of production issues
• Perform other related duties as required

Requirements:

• Bachelor’s degree or equivalent experience
• At least 6 years of experience in software development/software engineering
• Deep, hands-on Python experience in production systems
• Deep understanding of relational databases + cloud (AWS) and experience building and supporting services  
• Django experience preferred 
• Angular experience preferred
• Previous exposure to working with AI, with a curious attitude to experiment with Claude Code or something similar 
• Ability to design, develop, and support software modules with medium to high complexity
• Excellent problem-solving skills and learning capability
• Excellent time management and organizational
• Strong production-support mindset for mission-critical payments
  
  #LI-AC1

Enterprise Account Executive — Ohio Valley Enterprise
Primary location: Ohio Valley (Ohio, Western Pennsylvania, Michigan, Indiana)
OTE: $300–$320K (50/50 split)

About Salt Security

Salt Security pioneered API security to protect the interfaces behind every modern app. Today, our AI-driven platform secures APIs and AI Agents end to end—including the action layer that powers AI Agents and MCP servers—so enterprises can innovate faster without sacrificing safety. We’re a collaborative, high-ownership team that values curiosity, execution, and customer impact.

About the role

You’ll own net-new and expansion business across enterprise accounts in Ohio, Western Pennsylvania, Michigan, and Indiana. You’ll drive multi-threaded cycles with CIO/CISO, AppSec, Platform, and Cloud leaders; align partners; and land multi-solution wins across discovery, posture, and runtime protection.

What you’ll do

• Build and manage a territory plan for enterprise accounts across Ohio, Western Pennsylvania, Michigan, and Indiana, with clear coverage of major hubs (Columbus, Cleveland, Cincinnati, Pittsburgh, Detroit, Ann Arbor, Indianapolis).
• Create pipeline through targeted prospecting, partner co-sell (AWS, CrowdStrike, etc.), and executive networking.
• Run full-cycle sales: discovery, value mapping, business case, security validation, legal/procurement, and close.
• Position Salt’s portfolio (Cloud Connect, Surface, Posture Governance, Runtime Protection, and AI Agent/MCP Security) and integrations to displace incumbents and consolidate tools.
• Lead account strategies with SEs, product, and customer success to ensure fast time-to-value and expansion.
• Maintain accurate forecasts in Salesforce and report on risks, next steps, and executive asks.
• Host on-site sessions and workshops; travel regularly throughout Ohio, Western Pennsylvania, Michigan, and Indiana as required.

What you’ll need

• Proven success selling enterprise cybersecurity/SaaS into large accounts (Fortune/Global 2000 preferred).
• Track record closing complex deals with multiple stakeholders and security validation, including 6- and 7-figure TCV.
• Strong familiarity with cloud-native environments (AWS/Azure/GCP), API security, and adjacent platforms (WAF, CNAPP, EDR/XDR, SIEM).
• Comfortable executing MEDDIC, SPICED, or similar methodology; crisp discovery and business case building.
• Executive presence with the ability to engage C-level and board-level influencers; excellent written and verbal communication.
• High ownership mindset: territory planning, partner alignment, and disciplined deal execution.
• Salesforce proficiency.

Why Salt Security

• Category leadership and a product roadmap that wins technical and business evaluations.
• Competitive compensation, equity, and comprehensive benefits.
• Remote-friendly culture with real autonomy and growth.
• Inclusive environment where great ideas win and careers accelerate.

Join us to help the Ohio Valley’s most innovative enterprises secure the APIs that power their business.

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