About the role

As part of Enterprise Engineering, the Workday Recruiting/Talent Acquisition Engineer sets the bar for technical excellence and innovation across our Talent Acquisition platform—driving configuration strategy, automation, integration optimization, and continuous validation at scale. You'll bring deep Workday Recruiting and ATS functional knowledge, combined with strong engineering capabilities, applying technical rigor to the configuration, data management, and testing of an enterprise-grade recruiting system in a fast-paced, high-volume hiring environment.

Scope includes Workday Recruiting, Advanced Recruiting, Candidate Experience (Career Site), ATS Tech Stack (HiredScore, Paradox, iCIMS integration), Talent Acquisition processes, Onboarding, and recruiting analytics/reporting. You'll build robust, scalable automated solutions and manage the quality lifecycle in our Workday Recruiting ecosystem, ensuring compliance, data integrity, candidate experience excellence, and recruitment efficiency requirements for a rapidly growing company.

For Massachusetts Only - The estimated annual salary for this position is between $132,600 - $191,250 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you'll be doing

• Design and own the end-to-end Workday Recruiting configuration and integration strategy for Recruiting, Advanced Recruiting, Career Site, ATS integrations (HiredScore, Paradox), Onboarding, and Talent Acquisition workflows—balancing technical excellence with speed to delivery and optimal candidate experience.
• Build, maintain, and scale Workday Recruiting configurations, including job requisition templates, candidate pipelines, offer management, background check integrations, recruiting events, interview scheduling, and agency portal functionality; ensure seamless data flow across systems.
• Design and implement comprehensive automated test coverage for recruiting processes using Tricentis Tosca or similar tools; manage test execution and traceability in qTest; integrate results into CI/CD pipelines for continuous quality validation.
• Create reusable configuration frameworks and templates (job req templates, screening questions, candidate evaluation forms, offer letter templates, recruiting business process steps) that standardize processes, reduce configuration time, and improve system reliability.
• Drive API-level and end-to-end integration testing across the Talent Acquisition ecosystem (e.g., requisition creation to hire, candidate sourcing, screening workflows, offer approval, background checks, I-9 verification, onboarding handoff to HCM), including third-party vendor integrations and Workday web services.
• Validate Workday Recruiting Extend apps, custom objects, and advanced configurations to ensure functional correctness, security, accessibility, compliance (OFCCP, EEOC), and performance under high-volume recruiting loads.
• Establish recruiting-specific quality metrics, dashboards, and reporting (including time-to-fill, candidate conversion rates, system uptime, integration success rates, configuration coverage, defect density) that enable data-driven decision-making and continuous improvement.
• Champion candidate experience excellence: partner with Recruiting, Employer Branding, and TA Operations teams to optimize career site performance, mobile responsiveness, application completion rates, and candidate communication workflows.
• Lead technical design reviews and configuration governance for recruiting process changes, partner with Workday Recruiting Consultants, Integration Engineers, and HRIS teams on design patterns and apply configuration best practices to recruiting assets.
• Drive root cause analysis and systemic improvements across recruiting data quality, process bottlenecks, integration failures, and user experience issues; continuously optimize configuration efficiency and recruiting operations effectiveness.
• Collaborate closely with Talent Acquisition, Recruiting Operations, HR Technology, Compliance, DEI, People Analytics, and vendor partners (HiredScore, Paradox, background check providers) to align technical solutions with business priorities, hiring goals, and regulatory requirements.
• Manage Workday Recruiting roadmap alignment with bi-annual releases and feature updates; evaluate new Recruiting functionality, lead pilot programs, and drive adoption of innovations that enhance recruiter productivity and candidate experience.

We're excited if you have

• 6+ years with SaaS/Cloud HR technology and significant hands-on Workday Recruiting experience across requisition management, candidate management, offer management, career site configuration, recruiting analytics, and ATS integrations.
• Deep functional expertise in Talent Acquisition processes, including high-volume recruiting, executive search, agency management, candidate sourcing, interview management, offer workflows, background checks, and onboarding transitions.
• Strong technical skills in Workday Recruiting configuration, Calculated Fields, Workday Studio, or EIB for data management, integration troubleshooting (Web Services, RaaS reports), and understanding of API-based recruiting technology ecosystems.
• Experience with recruiting automation tools such as HiredScore, Paradox (conversational AI), scheduling tools, CRM platforms, and modern ATS integrations.
• Test automation and quality engineering experience with tools like Tricentis Tosca, Selenium, or similar; ability to design and maintain automated regression suites for recruiting workflows.
• Data-driven mindset with experience building recruiting analytics, dashboards (Workday Reports, Prism), and using data to optimize funnel conversion, process efficiency, and candidate experience.
• Understanding of recruiting compliance requirements, including OFCCP, EEOC, GDPR, accessibility standards (WCAG), and ability to configure systems to meet regulatory obligations.
• Strong stakeholder management and communication skills; ability to translate complex technical concepts for recruiting leaders and translate business requirements into technical solutions.
• Experience managing or contributing to enterprise-scale Workday implementations or transformations; familiarity with Agile/Scrum methodologies and DevOps practices.
• Passion for candidate experience and recruiting innovation; stays current on recruiting technology trends, AI/ML applications in talent acquisition, and Workday Recruiting product roadmap.

#LI-SR2

About role

Roku is seeking a senior-level Identity Engineer to enhance its Zero-Trust architecture, drive standardization initiatives, and optimize its Microsoft-centric identity platform for a geographically distributed workforce. The ideal candidate has hands-on experience in identity and access management (IAM) and securing cloud environments within the Microsoft ecosystem, with deep expertise in Azure Entra ID. Equally important is a strong automation mindset—designing, scripting, and building repeatable workflows. The role also requires the ability to communicate complex technical concepts clearly to both technical and non-technical audiences. 

For Massachusetts Only - The estimated annual salary for this position is between $158,000 - $279,000 annually.  Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you'll be doing

• Lead enterprise-wide IAM standardization, including identity lifecycle, access governance, and policy enforcement across global regions.
• Drive automation across IAM to streamline administration and deliver a smoother user experience.
• Support enterprise applications onboarding into Azure Entra ID, including SSO, Conditional Access, and role-based access control (RBAC).
• Enhance privileged access management and implement scalable monitoring, alerting, and auditability solutions to support a secure, geographically distributed workforce.
• Collaborate with IT, Networking, and Security teams to troubleshoot identity-related issues and support global infrastructure initiatives.
• Advance Zero Trust Identity Fabric principles like continuous verification, least-privilege access, and identity-aware policy enforcement across users, devices, workloads, and non-human identities.
• Build identity automation with a DevOps mindset, writing scripts, developing pipelines, and engineering tooling from scratch rather than just configuring them.

We're excited if you have

• 8+ years of hands-on experience with identity and access management and automating cloud technologies, particularly within the Microsoft ecosystem.
• Strong analytical skills and attention to detail, with the ability to troubleshoot complex infrastructure and identity-related issues.
• Excellent communication skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders.
• Deep experience with Microsoft Entra ID, including Conditional Access, Identity Governance, and Privileged Identity Management.
• Familiarity with Microsoft 365 services: Exchange Online, Defender, Purview, Sentinel, Intune, and related platforms.
• Automation and scripting skills using PowerShell, Azure CLI, and Microsoft Graph API; working knowledge of Azure services such as Function Apps and Logic Apps.
• Experience in onboarding and managing enterprise applications in Azure Entra ID.
• Advanced knowledge of Azure Single Sign-On (SSO) login methods, including OAuth2, OpenID Connect, and SAML, and their integration with enterprise applications.
• Knowledge of privileged access tools (Azure PIM, CyberArk, etc), secrets management (HashiCorp or Azure Key Vault), and workload identity patterns SPIFEE & SPIRE.
• Familiarity with NHI governance concepts for service accounts and AI agents, and exposure to OPA / Rego or similar policy-as-code frameworks.
• Good to have familiarity with Microsoft Purview for DLP and data classification.
• Strong understanding of multi-factor authentication and FIDO2.
• Familiarity with IT security frameworks and compliance standards.
• Knowledge of logging, monitoring, and alerting practices for identity and access events.
• Basic understanding of email security and DNS.
• Experience with backup and recovery strategies for identity-related services.
• Understanding of Zero Trust Architecture principles.
• Familiarity with Jira and Confluence.
• B.S. in Computer Science, Information Technology, Engineering, or equivalent experience. 

#LI-SR2

About role

Roku is seeking a senior-level Identity Engineer to enhance its Zero-Trust architecture, drive standardization initiatives, and optimize its Microsoft-centric identity platform for a geographically distributed workforce. The ideal candidate has hands-on experience in identity and access management (IAM) and securing cloud environments within the Microsoft ecosystem, with deep expertise in Azure Entra ID. Equally important is a strong automation mindset—designing, scripting, and building repeatable workflows. The role also requires the ability to communicate complex technical concepts clearly to both technical and non-technical audiences. 

For New York Only - The estimated annual salary for this position is between $158,000 - $279,000 annually.  Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you'll be doing

• Lead enterprise-wide IAM standardization, including identity lifecycle, access governance, and policy enforcement across global regions.
• Drive automation across IAM to streamline administration and deliver a smoother user experience.
• Support enterprise applications onboarding into Azure Entra ID, including SSO, Conditional Access, and role-based access control (RBAC).
• Enhance privileged access management and implement scalable monitoring, alerting, and auditability solutions to support a secure, geographically distributed workforce.
• Collaborate with IT, Networking, and Security teams to troubleshoot identity-related issues and support global infrastructure initiatives.
• Advance Zero Trust Identity Fabric principles like continuous verification, least-privilege access, and identity-aware policy enforcement across users, devices, workloads, and non-human identities.
• Build identity automation with a DevOps mindset, writing scripts, developing pipelines, and engineering tooling from scratch rather than just configuring them.

We're excited if you have

• 8+ years of hands-on experience with identity and access management and automating cloud technologies, particularly within the Microsoft ecosystem.
• Strong analytical skills and attention to detail, with the ability to troubleshoot complex infrastructure and identity-related issues.
• Excellent communication skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders.
• Deep experience with Microsoft Entra ID, including Conditional Access, Identity Governance, and Privileged Identity Management.
• Familiarity with Microsoft 365 services: Exchange Online, Defender, Purview, Sentinel, Intune, and related platforms.
• Automation and scripting skills using PowerShell, Azure CLI, and Microsoft Graph API; working knowledge of Azure services such as Function Apps and Logic Apps.
• Experience in onboarding and managing enterprise applications in Azure Entra ID.
• Advanced knowledge of Azure Single Sign-On (SSO) login methods, including OAuth2, OpenID Connect, and SAML, and their integration with enterprise applications.
• Knowledge of privileged access tools (Azure PIM, CyberArk, etc), secrets management (HashiCorp or Azure Key Vault), and workload identity patterns SPIFEE & SPIRE.
• Familiarity with NHI governance concepts for service accounts and AI agents, and exposure to OPA / Rego or similar policy-as-code frameworks.
• Good to have familiarity with Microsoft Purview for DLP and data classification.
• Strong understanding of multi-factor authentication and FIDO2.
• Familiarity with IT security frameworks and compliance standards.
• Knowledge of logging, monitoring, and alerting practices for identity and access events.
• Basic understanding of email security and DNS.
• Experience with backup and recovery strategies for identity-related services.
• Understanding of Zero Trust Architecture principles.
• Familiarity with Jira and Confluence.
• B.S. in Computer Science, Information Technology, Engineering, or equivalent experience. 

#LI-SR2

About the Team 

A highly scalable and highly available real-time advertising platform is crucial for supporting and growing Roku's advertising business. The mission of the Ad Engineering Team is to build this platform. We are hiring a Senior Software Engineer for the Advertising Platform to play a vital role in this mission. If you bring extensive experience building complex systems, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you! 

About the Role 

Roku pioneered TV streaming and continues to innovate, leading the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on investing in Advertising Engineering. The ideal candidate will possess endless curiosity and be able to pair a global mindset with locally relevant execution. The successful candidate will demonstrate a balance of hard and soft skills, including the ability to respond promptly to evolving business needs.

Building a real-time, highly scalable, and available advertising platform is critical for our success. Our team’s mission is to build a best-in-class advertising platform to support and grow Roku’s exploding ad business. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.

For California Only - The estimated annual salary for this position is between $195,000 - $408,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What You'll Be Doing

• Work alongside a highly skilled engineering team to design, develop, and maintain large-scale, highly performing, real-time applications 
• Own building features, driving directly with the product, and other engineering teams 
• Demonstrate excellent communication skills in working with technical and non-technical audiences 
• Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops 
• Be an evangelist for platform innovation and reuse 
• Deliver top-quality software in a timely fashion 

We're Excited If You Have

• 10+ years of experience building large-scale and low-latency distributed systems
• Command of Java or C++
• Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming 
• Experience with distributed caching, SQL/NoSQL, and other databases is a plus 
• Experience with Big Data and cloud services such as AWS/GCP is a plus
• Experience in the advertising domain is a big plus 
• B.S. or M.S. degree in Computer Science, Engineering, or equivalent 
• Self-motivated individual with a high level of accountability and ownership
• Critical thinking and practical decision-making
• Can do, results-oriented mindset
• Nonpolitical, collaborative, and team-oriented
• Desire to win in a highly competitive industry
• AI literacy and curiosity. You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about Gen AI and have explored it
  
  

#LI-SSC

About the Team 

A highly scalable and highly available real-time advertising platform is crucial for supporting and growing Roku's advertising business. The mission of the Ad Engineering Team is to build this platform. We are hiring a Senior Software Engineer for the Advertising Platform to play a vital role in this mission. If you bring extensive experience building complex systems, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you! 

About the Role 

Roku pioneered TV streaming and continues to innovate, leading the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on investing in Advertising Engineering. The ideal candidate will possess endless curiosity and be able to pair a global mindset with locally relevant execution. The successful candidate will demonstrate a balance of hard and soft skills, including the ability to respond promptly to evolving business needs.

Building a real-time, highly scalable, and available advertising platform is critical for our success. Our team’s mission is to build a best-in-class advertising platform to support and grow Roku’s exploding ad business. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.

For New York Only - The estimated annual salary for this position is between $195,000 - $408,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What You'll Be Doing

• Work alongside a highly skilled engineering team to design, develop, and maintain large-scale, highly performing, real-time applications 
• Own building features, driving directly with the product, and other engineering teams 
• Demonstrate excellent communication skills in working with technical and non-technical audiences 
• Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops 
• Be an evangelist for platform innovation and reuse 
• Deliver top-quality software in a timely fashion 

We're Excited If You Have

• 10+ years of experience building large-scale and low-latency distributed systems
• Command of Java or C++
• Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming 
• Experience with distributed caching, SQL/NoSQL, and other databases is a plus 
• Experience with Big Data and cloud services such as AWS/GCP is a plus
• Experience in the advertising domain is a big plus 
• B.S. or M.S. degree in Computer Science, Engineering, or equivalent 
• Self-motivated individual with a high level of accountability and ownership
• Critical thinking and practical decision-making
• Can do, results-oriented mindset
• Nonpolitical, collaborative, and team-oriented
• Desire to win in a highly competitive industry
• AI literacy and curiosity. You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about Gen AI and have explored it

About the Team 

A highly scalable and highly available real-time advertising platform is crucial for supporting and growing Roku's advertising business. The mission of the Ad Engineering Team is to build this platform. We are hiring a Senior Software Engineer for the Advertising Platform to play a vital role in this mission. If you bring extensive experience building complex systems, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you! 

About the Role 

Roku pioneered TV streaming and continues to innovate, leading the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on investing in Advertising Engineering. The ideal candidate will possess endless curiosity and be able to pair a global mindset with locally relevant execution. The successful candidate will demonstrate a balance of hard and soft skills, including the ability to respond promptly to evolving business needs.

Building a real-time, highly scalable, and available advertising platform is critical for our success. Our team’s mission is to build a best-in-class advertising platform to support and grow Roku’s exploding ad business. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.

For Massachusetts Only - The estimated annual salary for this position is between $195,500 - $352,100 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What You'll Be Doing

• Work alongside a highly skilled engineering team to design, develop, and maintain large-scale, highly performing, real-time applications 
• Own building features, driving directly with the product, and other engineering teams 
• Demonstrate excellent communication skills in working with technical and non-technical audiences 
• Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops 
• Be an evangelist for platform innovation and reuse 
• Deliver top-quality software in a timely fashion 

We're Excited If You Have

• 10+ years of experience building large-scale and low-latency distributed systems
• Command of Java or C++
• Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming 
• Experience with distributed caching, SQL/NoSQL, and other databases is a plus 
• Experience with Big Data and cloud services such as AWS/GCP is a plus
• Experience in the advertising domain is a big plus 
• B.S. or M.S. degree in Computer Science, Engineering, or equivalent 
• Self-motivated individual with a high level of accountability and ownership
• Critical thinking and practical decision-making
• Can do, results-oriented mindset
• Nonpolitical, collaborative, and team-oriented
• Desire to win in a highly competitive industry
• AI literacy and curiosity. You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about Gen AI and have explored it

#LI-SSC

Recorded Future is seeking a skilled and motivated Platform Engineer to join our dynamic team. The ideal candidate will have a solid background in Continuous Integration (CI), Continuous Deployment (CD), Kubernetes, developer toolsets, and Software Development Life Cycle (SDLC) best practices. This role requires a strong understanding of modern Platform Engineering tools and practices, as well as a commitment to fostering a responsive, communicative, and collaborative environment.  This is a role and team that enables Engineering to operate and build at the scale and pace of the ever changing Security Threat Landscape. 

You will be curious, collaborative and build with existing tools and work with the team to identify new approaches, technologies, (including AI related capabilities) to allow your team and others to increase velocity and impact. 

This role requires you to work in Recorded Future's Boston office at least 3 days per week.

What You'll Do:

• Design, implement, and maintain CI/CD pipelines to ensure efficient and reliable software delivery. 
• Develop and manage infrastructure as code using Terraform. 
• Deploy, manage, and monitor containerized applications using Kubernetes. 
• Support the development and management of production Kubernetes clusters in a cloud environment (AWS preferred). 
• Manage and optimize cloud infrastructure in AWS to support scalable and secure applications. 
• Administer and optimize source code repositories and workflows in GitHub. 
• Collaborate with development teams to enhance developer toolsets and streamline SDLC processes. 
• Troubleshoot and resolve infrastructure and application issues. 
• Implement best practices for security, reliability, and performance. 
• Communicate effectively with cross-functional teams to understand requirements and deliver solutions. 

What You'll Bring:

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience. 
• 3+ years of experience in a platform engineering or similar role. 
• Proficiency in Golang or Python for scripting and automation. 
• Proven experience with Terraform for infrastructure as code. 
• Proven knowledge of Kubernetes for container orchestration and experience with ArgoCD. 
• Hands-on experience with GitHub for version control and collaboration. 
• Proven experience with AWS cloud services. 
• Excellent problem-solving skills and the ability to work under pressure. 
• Exceptional communication skills, both verbal and written. 
• Proven ability to work collaboratively in a team environment. 
• Strong organizational skills and attention to detail. 
• Good networking knowledge. 

Preferred Qualifications:

• Experience with Github runners and other CI/CD tools and platforms.
• Familiarity with programming languages such as Go, Python or Java in the context of CICD.
• Knowledge of security best practices in cloud environments.
• Experience with observability tools such as Prometheus, ELK and Grafana stacks.
• Certification in AWS or Kubernetes and experience with Backstage is a plus.
• Experience with kOps is a plus.
• Knowledge of Cilium CNI is a plus 

The base salary range for this full-time position is $92,500-$139,000. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

Recorded Future is seeking a Principal Software Engineer to join our Engineering team, responsible for building and scaling the pipelines that power the Security Intelligence Graph. As a Principal Software Engineer, you will work across application code and infrastructure to collect, transform, and deliver structured threat data: tracking malware infrastructure, phishing campaigns, spam networks, command-and-control systems, and more. You will play a key role in driving architectural improvements and ensuring the platform scales effectively as it continues to grow.

What You'll Do:

• Data Pipeline Ownership: Design, build, and maintain scalable data pipelines that collect, transform, and deliver structured threat intelligence data powering the Security Intelligence Graph.
• Architecture & Scalability: Drive meaningful architectural improvements across data and platform systems to ensure long-term scalability, reliability, and performance.
• Full-Stack Engineering: Work across both application code and infrastructure, contributing to backend services, data systems, and platform capabilities.
• Data Processing & Analysis: Apply statistical techniques to large-scale datasets to generate accurate and impactful insights.
• Reliability & Observability: Ensure production-grade pipeline reliability through strong observability, error handling, and failure recovery practices.
• Infrastructure & Deployment: Build and maintain CI/CD pipelines and contribute to infrastructure-as-code practices to support efficient and repeatable deployments.
• Cross-Team Collaboration: Communicate technical concepts clearly and collaborate effectively across teams, geographies, and varying levels of technical expertise.
• Technical Leadership: Engage with technical leaders across teams and contribute to raising the engineering bar through knowledge sharing and best practices.

What You'll Bring:

• At least 5 years of experience in data engineering, backend engineering, or platform engineering.
• Strong proficiency in Python, with experience in Go or Rust considered a plus.
• Experience working with cloud infrastructure, including compute, storage, networking, and IAM fundamentals.
• Hands-on experience with message queues and pub/sub systems such as Kafka or RabbitMQ.
• Experience with SQL databases such as Postgres or AWS RDS, and NoSQL databases such as MongoDB or Elasticsearch.
• Familiarity with data lake storage frameworks such as Delta Lake and graph databases such as AWS Neptune or Neo4j.
• Experience developing REST APIs using frameworks such as Flask, Django, or FastAPI.
• Proven experience architecting and delivering production-grade applications and ETL/ELT pipelines.
• Strong understanding of building reliable data pipelines, including observability, error handling, and failure recovery.
• Experience building and maintaining CI/CD pipelines; GitHub Actions experience is a plus.
• Familiarity with infrastructure-as-code tools; Terraform experience is a plus.
• Comfort working with high-volume, complex, and unstructured data.
• Strong problem-solving skills, including the ability to debug both software and data issues.
• Excellent attention to detail and ability to work independently while delivering high-quality results.
• Interest in or familiarity with security data domains such as threat infrastructure, malware, or network telemetry.
• Bachelor’s and/or Master’s degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience.

Preferred Qualifications:

• Experience or interest in cybersecurity data domains such as malware analysis, phishing detection, or network telemetry.
• Experience working with graph-based data systems or security intelligence platforms.

The base salary range for this full-time position is $152,000-$228,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

Recorded Future is seeking an experienced Senior Engineering Manager to lead a diverse team of engineers building one of the world’s most comprehensive global internet scanning platforms. As a Senior Engineering Manager, you will oversee multiple established teams and functions, including:

• Scan Engine Development – Our proprietary network scanning engine that operates on a global scale to collect intelligence insights from everything on the internet, supported by a cross-functional team of software engineers and operations specialists
• Vulnerability and Signature Research – Our team of vulnerability researchers working in coordination with internal intelligence functions to develop unique detections and signatures that power the scan engine
• Scan Operations and Site Reliability – Our team responsible for the operational health, scale, and reliability of the platform, ensuring intelligence is generated and delivered continuously to support teams and clients across the organization

What You'll Do:

• Team Leadership: Lead and mentor a multi-disciplinary team of vulnerability researchers, scan operations engineers, and software engineers across multiple geographies, fostering a collaborative, high-performing, and inclusive environment. Provide technical leadership by guiding development efforts, setting direction, and coaching engineers to grow their careers while maintaining a high engineering bar.
• Cross-Team Coordination: Partner closely with engineering leadership, product managers, and stakeholders across the broader organization — including teams from recently integrated business units — to align on scope, timelines, and solution designs that serve the full breadth of Recorded Future’s needs. Effectively communicate and advocate technical solutions to product, engineering, and business audiences.
• Engineering Excellence: Drive the continuous improvement of engineering practices, processes, and tools to increase efficiency and product quality. Ensure teams design, develop, and deploy features with a focus on high availability, quality, low latency, and scalability.
• Project Management: Oversee the planning, execution, and delivery of product features and updates, ensuring alignment with company goals and timelines.
• Agile Practices: Implement and maintain agile methodologies for project tracking and documentation.
• AI-First Development: Champion an AI-first engineering culture across your teams, encouraging the adoption of AI tools, workflows, and practices in day-to-day development. You should be comfortable guiding your team in its application and aligned with Recorded Future’s broader commitment to AI-driven engineering.

What You'll Bring:

• At least 10 years of experience in software engineering, ideally in an Enterprise SaaS product.
• At least 4 years in a management or leadership role, ideally overseeing multiple functions with remote teams in different timezones.
• Meaningful hands-on software engineering experience, ideally including familiarity with languages such as Python, Go, or C. You don’t need to be actively coding day-to-day, but you should be able to engage credibly with engineers on technical decisions and hold the team to a high engineering bar.
• Background in or strong familiarity with low-level, network-heavy applications with a focus on high-volume traffic, availability, and global scale is highly desirable, despite this role being primarily managerial.
• Familiarity with key technologies such as message busses/queues (Kafka, Rabbit, etc.), containerization (Docker, Kubernetes, etc.)
• Extensive familiarity with the TCP/IP protocol stack, including application of concepts from DNS, WHOIS, and other artifacts needed for technical reconnaissance and discovery
• Comfort with AI development concepts and a genuine enthusiasm for guiding teams to incorporate AI into their workflows and understanding its practical applications in software development
• Experience in technical leadership such as leading project teams' development efforts and setting technical direction
• A passion for coaching others to grow their technology career and sharing good practices with more junior engineers
• Excellent verbal and written communication skills
• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, or equivalent education/work experience

Preferred Qualifications:

• Any familiarity with cybersecurity principles and the unique challenges of developing cybersecurity products
• Any familiarity with things like port scanning, vulnerability scanning, or signature development
• Any familiarity with enterprise security products related to Recorded Future’s offerings

The base salary range for this full-time position is $199,000-$278,000. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

Recorded Future provides intelligence that 1,500+ clients use to defend their people and networks from cybersecurity threats. Our intelligence data provides analytics for many security and risk management needs. This data is derived from technical data, threat actor monitoring, social media, open sources, and other data sources. In this role, your mission is to design, build, and deploy the next generation of AI Agentic systems that process and enrich this intelligence data autonomously.

In this Senior Software Engineer role, you will be a key individual contributor, driving the development of resilient, scalable software systems focused on leveraging Large Language Models (LLMs) and autonomous agents for data processing, analysis, and threat detection. You will be responsible for building sophisticated, production-grade applications that enrich our threat intelligence, and you will mentor junior engineers, fostering technical excellence and best practices.

What You’ll Do:

• Design, develop, and deploy highly reliable and scalable software systems, specializing in AI Agentic tooling and ML applications.
• Serve as a technical leader in the implementation of frameworks and best practices for creating, evaluating, and safely deploying autonomous AI agents in a production environment.
• Collaborate with engineering managers and cross-functional teams to integrate AI Agent solutions across the platform.
• Drive engineering excellence by conducting rigorous code reviews, focusing on code quality, performance optimization, and operational maturity.
• Lead the technical design and architectural discussions for new features and components within the AI Tooling roadmap.
• Manage project tasks through an agile SDLC, ensuring timely delivery and high-quality results.

What You’ll Bring:

• Strong technical background in software engineering, with deep expertise in building and scaling distributed systems.
• Expert-level proficiency in Python and related ecosystem for production AI/ML applications.
• Proven track record as a senior individual contributor, designing and delivering complex software solutions.
• Technical skills with modern cloud platforms (e.g., AWS, GCP, Azure) and engineering workflow tools (e.g., Jira, Git).
• Deep understanding of the AI Agent paradigm, including hands-on experience with LLMs, prompt engineering, agentic loop design, and retrieval-augmented generation (RAG).
• Experience driving coordinated action between cross-functional teams (product, research, stakeholders) working from different locations around the world.
• A pragmatic mindset and a strong focus on delivering measurable, high-impact results.
• A keen curiosity for cybersecurity and finding innovative ways to apply AI Agent technology to keep our clients safe.

The base salary range for this full-time position is $129,000- $193,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

Recorded Future provides intelligence that 1,500+ clients use to defend their people and networks from cybersecurity threats. Our intelligence data provides analytics for many security and risk management needs. This data is derived from technical data, threat actor monitoring, social media, open sources, and other data sources. In this role, your mission is to design, build, and deploy the next generation of AI Agentic systems that process and enrich this intelligence data autonomously.

In this Senior Software Engineer role, you will be a key individual contributor, driving the development of resilient, scalable software systems focused on leveraging Large Language Models (LLMs) and autonomous agents for data processing, analysis, and threat detection. You will be responsible for building sophisticated, production-grade applications that enrich our threat intelligence, and you will mentor junior engineers, fostering technical excellence and best practices.

What You’ll Do:

• Design, develop, and deploy highly reliable and scalable software systems, specializing in AI Agentic tooling and ML applications.
• Serve as a technical leader in the implementation of frameworks and best practices for creating, evaluating, and safely deploying autonomous AI agents in a production environment.
• Collaborate with engineering managers and cross-functional teams to integrate AI Agent solutions across the platform.
• Drive engineering excellence by conducting rigorous code reviews, focusing on code quality, performance optimization, and operational maturity.
• Lead the technical design and architectural discussions for new features and components within the AI Tooling roadmap.
• Manage project tasks through an agile SDLC, ensuring timely delivery and high-quality results.

What You’ll Bring:

• Strong technical background in software engineering, with deep expertise in building and scaling distributed systems.
• Expert-level proficiency in Python and related ecosystem for production AI/ML applications.
• Proven track record as a senior individual contributor, designing and delivering complex software solutions.
• Technical skills with modern cloud platforms (e.g., AWS, GCP, Azure) and engineering workflow tools (e.g., Jira, Git).
• Deep understanding of the AI Agent paradigm, including hands-on experience with LLMs, prompt engineering, agentic loop design, and retrieval-augmented generation (RAG).
• Experience driving coordinated action between cross-functional teams (product, research, stakeholders) working from different locations around the world.
• A pragmatic mindset and a strong focus on delivering measurable, high-impact results.
• A keen curiosity for cybersecurity and finding innovative ways to apply AI Agent technology to keep our clients safe.

The base salary range for this full-time position is $129,000- $193,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

Data Engineer, Encounters Intelligence

AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our solution helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, ICONIQ Growth, and Ajax Health. We're a high-growth AI and Data company scaling rapidly.

We are a team of agentic builders who rely heavily on AI development practices to accelerate our ability to deliver value to our customers. We believe in extreme ownership and agency, where every engineer takes responsibility for working throughout the organization to land impact with customers. We're a close-knit team that enables high levels of autonomy by constantly communicating our intentions, sharing problems and learnings, and helping each other learn and grow.

In this role, you will help lead the evolution of AcuityMD’s core healthcare data assets . You will build new data and intelligence products, improve the quality and interpretability of existing data products, and deliver high confidence and repeatable intelligence that fuels our MedTech-specific modules. You will identify new approaches and new data that improve the quality of our data assets. You will report to the Engineering Manager, Data, and work cross-functionally with engineering, product, and commercial organizations.

We are hiring for multiple levels!

Team Mission

The Data Team is on a mission to represent medical reality by transforming raw data into assets that directly generate sales for our customers and help to bring cutting edge medical technology to the patients that need it most. We thrive on the challenge of turning complexity into simplicity and driving the continuous growth of our products. We acquire terabytes of data from diverse sources, and refine them with modern data processing tools and machine learning algorithms. This shapes the future of our products and delivers value to the customers.

Responsibilities

• Transform , model, and integrate raw data of varying quality from a wide range of data sources into usable, documented and high quality data and intelligence products by applying data modeling and statistical techniques
• Identify, research, and develop new statistical approaches and new types of data to improve and extend our core healthcare data products
• Lead feature and product development cycles from defining Customer problem statements through to delivering solutions
• Work directly with product managers and cross-functional stakeholders to influence and build our Product development plans and roadmap
• Provide thought leadership on data science techniques and mentoring to junior data engineers
• Document and communicate technical and quantitative concepts, schemas, and data product usage guidelines with appropriate levels of detail for internal and external stakeholders

Your Profile

• You have 4+ years of experience working in a data science or similar role, delivering analytic models as Data Products or Data Solutions
• You have professional experience working with time series, geospatial, and/or demographic datasets to make forecasts or predictions.
• You are excited by extracting signals and information from messy, real-world datasets
• You can translate and explain technical requirements, recommendations and code clearly and concisely for non-technical audiences.
• You are opinionated about statistical techniques or Python libraries

Nice to Haves

• Familiarity across our data stack - BigQuery, Google Cloud Storage, dbt & Dagster
• Familiarity with insurance billing and other healthcare datasets
• Familiarity with incorporating large language models into development workflows

AcuityMD is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, market data and may vary from the range provided. Base salary range: $155,000-$220,000

You must have an eligible work permit in the USA to be considered for this position.

We Offer:

• Ground floor opportunity: Join a high-growth startup, backed by world-class investors across Enterprise SaaS and Medical Devices (Benchmark, Redpoint Ventures, and Ajax Health).
• Learning Budget: Reimbursements for relevant learning and up-skilling opportunities.
• Remote work: AcuityMD is committed to supporting full-remote flexibility for employees in the US. We provide a work-from-home stipend for all employees.
• Flexible PTO: Generous time off and flexible hours give you the freedom to do your best work.
• Paid Health, Dental, and Vision Plans: We offer 100% paid health, dental, and vision plans for all employees and 75% paid for our employees' dependents.
• Home Office Stipend: $1,000 to invest in remote office equipment and WiFi reimbursement.
• Optional Team Retreats: We meet in-person multiple times per year for co-working and social gatherings.
• Parental Leave: 8-16 weeks of fully-paid, flexible parental leave.

Who We Are:

The Company: We are builders, who are inspired by our mission to expand patient access to cutting-edge medical technologies. We value working collaboratively to solve hard problems for our customers with simple, innovative solutions. We push ourselves to learn with empathy. We foster an active culture of mentorship and inclusion, and we welcome new team members that share our values.

We're backed by Benchmark, Redpoint Ventures, Ajax Health, and several other leading software and medical device investors. Since Acuity launched in 2020, we've brought on customers ranging from publicly traded Fortune 500 companies to innovative growth-stage companies and regional medical device distributors.

The Product: AcuityMD uses data and software to help teams collaborate around the complex relationships they have with the users of medical technologies: doctors. Our platform empowers medical technology companies to see how their products are used, understand why outcomes vary, and identify opportunities where physicians or sites of care can better serve their patients.

AcuityMD is an Equal Opportunity Employer

AcuityMD is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage people of all backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of AcuityMD are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.

Location: Waltham, MA (hybrid- 3 days In-Office)

ERGO NEXT's mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you’ll find ERGO NEXT.

Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in.

We are looking for a talented Software Engineer to lead our Platform Engineering presence in the US. As the primary technical anchor for the Platform Engineering group in the US, you will serve as the "face" of the group for our local teams, bridging the gap between global infrastructure initiatives and the specific needs of our US-based engineers.

As part of this leadership capacity, you will take a key part in shaping our strategy we are currently embarking on: Building an Agentic (AI-based) Software Development Life Cycle. We want to move beyond simple automation to a future where AI agents assist in each and every step of the SDLC, including designing, coding, testing, and deploying our services. To achieve this, you will apply your deep coding expertise to the world of Platform Engineering and Infrastructure, ensuring our US teams are at the forefront of this AI-driven evolution.

In addition, our Platform Engineering Group is the architect and owner of NEXT’s cloud-only infrastructure at Next Insurance. You’ll leverage your expertise to treat our platform as a product, working across the full spectrum of Cloud and Applicative infrastructure. Using a wide variety of advanced technologies and tools, programming languages and cloud services, you will help us understand the challenges that our platform needs to resolve, then plan and execute projects that will improve the developers day to day and help them innovate and bring value to the business.

What You’ll Do: 

• Shape the Future of SDLC: Take a key leadership role in building our Agentic (AI-based) Software Development Life Cycle, moving beyond automation to a world where AI agents assist in designing, coding, testing, and deploying.
• Bridge Coding & Infrastructure: Apply your deep coding expertise to the world of Platform Engineering, ensuring our IL-based teams are at the forefront of the AI-driven evolution.
• Platform as a Product: Act as the architect and owner of our cloud-only infrastructure, treating the platform as a core product that serves the entire engineering organization.
• Full-Spectrum Engineering: Work across the full spectrum of cloud and applicative infrastructure to solve complex challenges using a wide variety of advanced technologies and cloud services.
• Empower Developers: Identify friction points in the developer experience, then plan and execute strategic projects that improve the day-to-day workflow of our R&D teams.
• Drive Business Value: Partner with the business to understand their needs, ensuring our platform enables fast-paced innovation and delivers tangible value through engineering excellence.

What We Need: 

• At least 6 years of experience as a Software Developer in a fast-paced cloud oriented organization.
• B.Sc. in Computer Science or equivalent
• Proven record of initiating, designing, implementing and leading meaningful projects
• A solid experience with at least one of the following languages: Java / Kotlin / JS / TS / bash / Python
• Experience with improving development processes and developer experience in general
• Must be a people person, accessible, be a proficient problem solver, which quickly adapt to new technologies
• A self-driven engineer with a deep curiosity to research and master AI technologies
• Understanding in CI/CD methodologies with a hands-on development experience of Jenkins pipelines - a major advantage
• Solid orientation to Cloud/Infrastructure-As-Code concepts - a major advantage.
• Understanding in Kubernetes & Containers - a major advantage
• Knowledge in build tools, e.g. Maven/Gradle/npm/nx  - an advantage
• Familiarity with software test methodologies and tools  - an advantage
• Familiarity with observability tools - monitoring, logging, tracing - a major advantage
• Experience with Internal Developer Portal/Platform and self serve tools (e.g. Backstage) - a major advantage

Job Title: Software Engineer
Employment Status: Exempt
Office Hours: Monday - Friday; hybrid schedule
Location: Boston, Massachusetts
Compensation: $130,000 - $150,000 base salary + bonus + equity
*compensation dependent on related experience level

About Ketryx:

Ketryx is an AI software platform that enables healthcare life sciences companies to ship life-saving regulated products in weeks instead of years.

Exploding product complexity is burying companies in compliance paperwork and blocking innovation. Our AI software removes this friction, dissolving the historical tradeoff between innovation and compliance, and enables regulated industries to innovate at the pace of modern software.

Just two years since launch, Ketryx already touches the lives of 25M patients and powers 3 of the world’s top 5 MedTech companies and 25% of the Fortune 500 MedTech market. Backed by Lightspeed Ventures, our founders are the former Head of AI at Amgen and CTO of Wolfram Cloud.

Healthcare and life sciences is just the beginning for us. Automotive, aerospace, energy — if it’s regulated, it’s because society decided it matters. These products move humanity, shape our future, and are safety-critical. Come join us and help build the AI platform to power safe innovation.

About the Role:

Join us in an exciting opportunity as a Software Engineer, where you will become an integral part of an extraordinary team of engineers dedicated to shaping the future of software at Ketryx. In this dynamic role, you will contribute to a small, highly motivated team, actively steering projects to successful completion. 

In this role, you will play a pivotal role in shaping the technological landscape, assuming ownership of critical technology decisions and roadmaps. With a self-starting attitude and a robust hands-on mentality, you will be at the forefront of tackling complex problems and driving innovation. Embracing agile working models, you will foster ideation, envision future possibilities, and address detailed improvements concurrently, contributing to Ketryx's commitment to reinventing how medical device manufacturers bring life-saving innovations to market. If you're reliable, detail-oriented, and ready to contribute to a global team, you could be a part of our mission to create safe and reliable medical software!

About You:

The ideal candidate is someone who possesses a deep passion for software and a profound desire to contribute to enhancing patient treatments through technological innovation. Your innate inquisitiveness, coupled with an unwavering enthusiasm for challenging assumptions, sets you apart. With excellent communication skills in both spoken and written English, you thrive in collaborative environments, where the exchange of ideas is paramount.

As a self-starter, you relish the opportunity to excel in a fast-paced startup environment, taking ownership of technology decisions and roadmaps. Your commitment to driving innovation aligns seamlessly with the ethos of our team, making you an invaluable asset in shaping the future of software at Ketryx. You are driven by a genuine love for software, a desire to improve patient outcomes, and the excitement of navigating cutting-edge challenges.

Responsibilities:

• Engage in customer interactions, collect feedback to build/design new prototypes and shape, plan and build product features together with our designers, product managers and other stakeholders
• Build features end to end, including backend and database work, with a strong focus on the user interface and user experience
• Collaborate closely with other team members in the Boston office (including Pre-Sales, Sales, Post-Sales, and Marketing) to shape and build product improvements (across the whole product)
• Build accessible user interfaces with React (NextJS), Tailwind, JollyUI (shadcn) and React Aria
• Establish and maintain good UI development practise in our codebase, while shaping out a well-documented component library with our design team
• Refactor and improve existing user interfaces, ideally by extracting and re-using common components
• Support and mentor other team members to help them build better UI
• Provide technical support to customers, collaborating with the Client Operations team

Required Skills:

• Ability to work in a fast moving startup environment, taking ownership of product features and pushing them forward
• 3+ years of full-time industry experience building frontend web applications in a production environment
• Very good understanding of using TypeScript (2+ years) with React (3+ years)
• Good understanding of using React Aria or an equivalent library for building accessible React components
• Experience in either building a design system and/or using an existing component library
• Experience using Tailwind with React

Preferred Skills:

• Good understanding of GraphQL and fragments
• Prior experience with logging tools such as AWS CloudWatch and Sentry
• Prior experience building AI related UI, particularly for large language models (e.g. Chat interfaces, builtin AI interactions)
• Additional full stack experience, e.g. working in a NextJS / express backend, working with a SQL database

Keywords: engineer, fullstack, full-stack, full stack, frontend, front-end, front end, back-end, back end, backend

Senior Software Engineer, Recommendations 

Boston, MA (Hybrid)

What you'll do

As the Senior Software Engineer for Product Recommendations, you will be a key contributor in building the machine learning–powered systems that decide which products to show to whom and when across all channels powered by our platform. This hands-on backend role focuses on converting billions of behavioral events into personalized product recommendations that drive revenue for merchants. You will define technical direction, build, and operate services and data pipelines end to end, from data ingestion and feature generation to ranking models and APIs.

• Lead the design, architecture, and operation of backend services that power product recommendations across Klaviyo experiences (email, SMS, KAgent, onsite, etc.), upholding standards for reliability, performance, and clear APIs.
• Architect and maintain robust, large-scale data processing pipelines (e.g., using Apache Spark or similar frameworks) that transform raw events and catalog data into high-quality features and inputs for recommendation models, ensuring data quality and lineage.
• Collaborate closely with ML engineers and product stakeholders to strategically productionize recommendation models—defining high-level interfaces, robust feature contracts, and advanced deployment patterns for batch and/or real-time inference systems.
• Drive the development of ML/AI systems such as vector search that power recommendation, semantic search, and sophisticated agentic use cases.
• Implement and evolve data and service observability (metrics, logging, tracing, dashboards) to proactively ensure recommendations are correct, fast, and highly available for all customers.
• Contribute to and mentor others on shared data frameworks, libraries, and architectural patterns to accelerate the development of new recommendation use cases and iteration velocity across the team.
• Work with Product to break down projects into clear milestones, balancing the need for rapid experimentation with technical soundness and long-term maintainability.
• Lead data-driven decision making and A/B testing efforts—ensuring recommendation systems are instrumented with the right metrics, and independently interpreting results to guide future product and engineering iterations.
• Participate in on-call and incident response for the systems you own, driving major post-incident follow-ups that substantially improve the resilience and operability of our recommendation stack.
• Champion and drive the transformation of engineering workflows by integrating AI from the ground up—for example, using AI to accelerate development, automate complex tests, or build smarter monitoring and debugging tools.
• Share knowledge, mentor junior/mid-level engineers, and define best practices on working with large-scale data frameworks, distributed systems, and integrating ML into production systems.

Who you are

• 5+ years of software engineering experience, with experience building and operating mission-critical backend services and systems in a production environment.
• Experience in backend and distributed systems at scale; you have a proven track record working on high-throughput, highly available services and are an skilled in optimizing for latency, reliability, and operability.
• Proficient in Python and open to working in other languages
• Comfortable with cloud-native architectures (AWS preferred) and container orchestration (e.g., Kubernetes); you manage infrastructure and CI/CD pipelines as a core part of your development process.
• Experience in data-driven decision making and A/B testing—you can define how to instrument experiments, read and interpret results, and ensure learnings are folded back into system design.
• Comfortable designing and querying data models in relational, analytical, and NoSQL datastores (e.g., Postgres, MySQL, data warehouses, Redis, vector databases).
• Feel at home with modern DevOps practices (CI/CD, monitoring, alerting) and how to apply them to architect large-scale data and recommendation systems.
• Track record of owning multi-component projects end-to-end—from initial technical design and implementation through rollout, monitoring, and sustained iteration.
• Excellent technical collaborator and communicator: you can clearly articulate complex technical trade-offs to both technical peers and non-technical partners, and you work effectively to drive alignment across ML Engineers, Software Engineers, PMs, and other teams.
• You are a self-starter who has actively experimented with AI in work or personal projects and are excited to responsibly explore and define new AI tools and workflows to enhance team productivity and system intelligence.

Nice to have

• Previous experience working on product recommendation systems or adjacent ML-powered features (ranking, personalization, search, or similar).
• Experience with big data frameworks such as Apache Spark (or similar technologies like Flink, Beam, etc.) for architecting and building complex batch or streaming pipelines.
• Experience in AI/ML systems and products, such as integrating models into production systems, building features powered by ML, or contributing to the ML infrastructure.
• Experience training and iterating on machine learning models (e.g., for ranking, prediction, or personalization).
• Experience with ML and distributed compute frameworks such as Ray or similar tools.
• Experience partnering with data science or ML teams to productionize models (designing feature stores, ensuring offline/online parity, advanced model deployment and monitoring).
• Background in e-commerce, marketing tech, or consumer personalization products.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.

As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.

We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.

What You’ll Do:

• Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
• Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
• Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
• Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
• Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
• Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
• Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.

Key Metrics:

• Platform availability and system performance
• Developer adoption and satisfaction
• Technical debt reduction and architectural clarity
• Engineering velocity and cross-team alignment

What You’ll Add to DigitalOcean:

• 11+ years of experience designing and building distributed systems at scale.
• Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
• Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
• Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.

Compensation Range:

• $227,040 - $283,800

*This is a remote role

JR: 2025-7225

#LI-Remote

#LI-SK1 

Mark43’s mission is to empower communities and their governments with new technologies that improve the safety and quality of life for all. We build powerful, scalable, and elegant software that sets a new standard for the tools upon which our first responders rely. Our users are diverse, and we are committed to embracing diversity of thought and experience within our team.

We are looking for a Senior Software Engineer to join our team, focused on enabling applied AI across the organization through scalable internal tools and integrations. You will sit at the intersection of IT, security, and business operations, helping to identify high-impact opportunities and turn them into practical, production-ready solutions.

This is a hands-on engineering role centered on building the systems, integrations, and patterns that allow teams across the company to effectively adopt and scale AI in their day-to-day work.

You will be part of the Information Security team, working closely with partners across Product, Finance, Operations, and Customer Success to bring secure and effective AI capabilities into internal workflows.

Our team is based in Boston, MA with a hybrid schedule of two days per week in the office. We are also a remote-friendly company with flexibility depending on role and location.

What You’ll Do

If you were part of our team, here are some things you would have done last week:

• Built and deployed a reusable AI-powered service or integration that enabled a business team to automate a critical workflow
• Designed and implemented connectors between AI systems and internal or third-party platforms such as Salesforce or Workday
• Partnered with stakeholders to identify a high-impact opportunity and translated it into a scalable internal tool or workflow
• Improved reliability and performance of an existing AI-enabled system by debugging across APIs, services, and infrastructure
• Evaluated new AI tools or frameworks and contributed to decisions on how they can be securely adopted at scale
• Partnered with InfoSec to ensure systems meet security, compliance, and governance standards
• Led a working session or demo to help teams understand and adopt new AI-enabled capabilities
• Built reusable components, services, or patterns that make it easier for other teams to leverage AI

What You’ll Need

We’re looking for a Senior Software Engineer with 5+ years of experience in software engineering or related technical roles. This level of experience is important because the role requires independently scoping ambiguous problems, designing scalable systems, and delivering production-ready solutions that can be adopted across the organization.

People who thrive on our team also tend to share the following characteristics:

• Curious and pragmatic engineers who enjoy solving ambiguous problems and building systems that others rely on
• Collaborative and business-minded, with the ability to understand workflows and translate them into scalable technical solutions
• Ownership-driven, with a focus on delivering measurable impact and enabling others through their work
• Thoughtful about security, scalability, and long-term maintainability

You will also bring:

• Strong hands-on experience building and shipping production systems using modern programming languages and frameworks
• Experience working with AI technologies such as LLMs and an understanding of how to integrate them into applications and workflows
• Strong experience with REST APIs, microservices, and system integrations
• Experience building internal tools, platforms, or shared services used by multiple teams
• Familiarity with authentication and security patterns such as OAuth, JWT, and IAM
• Ability to debug across full-stack systems including services, APIs, workflows, and cloud infrastructure
• Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders
• Hybrid in Boston, MA (2 days per week in-office)

Nice to have

• Experience building AI-powered applications using tools such as OpenAI, Claude, or similar platforms
• Experience with enterprise automation or integration platforms
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Experience with data governance, security, and compliance in enterprise environments

We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.

We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.

What You'll Be Doing: 

• Ensuring maximum uptime for our global infrastructure
• Automating processes and building tools to improve operational efficiency
• Coordinating operational work across teams to improve the platform with minimal impact

What You'll Add to DigitalOcean:

• Solid experience with Linux operating systems or Networking and day to day upkeep
• Familiarity with virtualization technologies and troubleshooting virtual machine instances
• Familiarity with containerization technologies and troubleshooting containers
• Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
• Basic storage concepts and technologies
• Experience with monitoring systems and incident management
• Experience scripting in one or more of the following languages: Bash, Python, or Go
• Experience with GPU hardware or AI/ML, and Kubernetes
• A passion for good documentation and open communication
• Proven ability to learn!

Compensation Range: 

• $107,000 - $134,000

*This is a remote role

JR: 2026-7423

#LI-Remote

Location: This role will be based on-site at our Boston, MA office. We are open to hybrid and remote options for the right candidate.
Travel: Up to 25%, primarily domestic
Job ID:  1475

The Role: 

We are looking for a Staff Engineer, Foundry Management. As a Staff Engineer, you’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. 

In this role, you will oversee the transition of leading nanofabrication technologies from small scale fabrication to foundry scale mass production. You will work closely with research scientists, engineers, and product managers to prepare existing fabrication workflows for transition to foundries, establish relationships with mass production partners, and ensure production of devices meets required timelines and specifications. 

Responsibilities:

• Manage relationships with foundries and large scale production partners for cutting edge device platforms
• Select optimal development and production partners based on device and technology platform needs
• Work with research scientists to optimize existing process flows for foundry scale integration
• Partner with product teams to ensure production timelines match target product specifications and volumes
• Transition technology and IP from research developments within IonQ to external production partners
• Propose new techniques for large scale production of quantum devices

Requirements:

• 10+ years of experience in managing fabrication and device production
• Experience transitioning or developing new technologies for foundry scale production
• Deep understanding of fabrication and device physics principles including photonic, electronic, and mems devices
• The ability to synthesize complex device performance and production requirements into a device production plan
• Ability to effectively communicate and form consensus with external and internal stakeholders through documents and presentations

Preferred Qualifications:

• 3D integration or advanced packaging expertise
• A track record of successful producing devices at scale for commercial use
• Experience developing and marketing quantum or optical devices
• Experience launching and completing new endeavors within large organizations

The approximate base salary range for this position is $126,887 - $166,127. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

ID Quantique (IDQ) as part of IONQ, is a global leader in quantum-safe communications and quantum detection systems. We provide solutions to protect governments, telecommunication infrastructures, and banking & financial institutions from the “harvest-now, decrypt-later” threat, delivering both terrestrial and space-based quantum-safe networks in live operation globally. Our Quantum Detection Systems push the limits of single-photon detection, powering breakthroughs in quantum communication, sensing, computing, and ultra-sensitive imaging in partnership with top researchers and tech innovators worldwide

As we continue to grow and advance our technological capabilities, we are seeking a talented and dedicated Field Service Engineer to join our team in US. In this role, you will be responsible for providing technical assistance and support (remote and on site) to our SNSPD (Superconducting Nanowire Single Photon Detector) systems’ customers, and ensuring their inquiries and issues are addressed promptly and effectively. As this product embeds a lot of different technologies (cryogenics, high vacuum, RF electronic, optical, PLC software, high-level software, network, etc.), this position requires a broad technical expertise, in addition to good communication skills and customer-centered approach.

Responsibilities:

• Serve as the primary point of contact for customer inquiries and technical support requests, specifically on our cryogenic single photon detectors. 
• Diagnose and troubleshoot technical issues reported by customers, providing timely and accurate solutions. 
• Handle product training and installation, as well as guidance to customer, remotely or on customer site. 
• Collaborate with internal teams including R&D, Test and Manufacturing department, to escalate and resolve complex customer issues. 
• Document customer interactions, including issues reported and solutions provided.
• Continuously improve customer support processes and procedures to enhance the overall customer experience.  
• Assist in the development of support documentation, FAQs, and knowledge base articles to help customers troubleshoot common issues independently. 
• Stay up to date on product features, updates, and industry trends to better assist customers and provide proactive support.

You’d be a good fit with:

• Undergraduate or graduate degree in Physics, Engineering Physics, Electrical Engineering or similar
• A demonstrated interest and experience in deploying precise and cutting-edge physics/optical instruments will be a plus
• Deep hands-on experience in at least three of the following: Cryogenics, (High Vacuum), Optical Metrology, RF Electronics, PLC Programming, or Network Architecture.
• A proven track record of troubleshooting complex, multi-disciplinary systems where hardware and software intersect.
• Ability to translate complex technical "hows" into clear "whys" for diverse stakeholders.
• Valid driver’s license and a willingness to travel for global on-site installations and high-level support.
• A self-starting mindset with the patience to navigate high-pressure technical roadblocks and the agility to thrive in a collaborative, fast-paced team.

You’d be a great fit with: 

• You don't just know three of the domains listed above; you understand how they influence each other (e.g., how RF noise affects optical measurements in cryogenic environments).
• Experience managing end-to-end installations or complex site surveys independently in international or sensitive environments.
• You have a "Product Ownership" mindset—you don’t just fix the bug; you identify the root cause and suggest design improvements to the R&D team.
• Proficiency in specific industry tools (e.g., LabVIEW, Python for automation, or advanced CAD viewers) that speed up the diagnostic process.
• Fluency in a second or third language, reflecting our global customer base.
• A history of coaching junior engineers or creating technical documentation that elevates the whole team’s knowledge base.

Location: This role will be based on-site at our Boston, MA office. We are open to hybrid and remote options for the right candidate.
Travel: 70% including international travel as required
Job ID: 1373

The approximate base salary range for this position is $110,336 - $144,459. The total compensation package includes base, bonus, and equity.

Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc

Your Role:
Join Tenable’s core engineering team to design and scale cloud-native search solutions and microservices. You will build highly reliable infrastructure that processes evolving customer data landscapes, ensuring our cyber security platform remains performant and state-of-the-art.

Your Opportunity:

• Build the Backbone: Craft high-performance "plumbing" for data ingestion, storage, and retrieval. You aren't just moving data; you are building the services that manage it.
• Modern Tech Stack: Work extensively with Kotlin, Java, Snowflake, and CockroachDB to drive innovation in our global distributed systems.
• Architecture & Influence: Get in on the ground floor to contribute to design and architectural decisions.
• Growth: Utilize a dedicated training budget for conferences and workshops to keep your skills sharp.
• Collaborate: Partner with Product Managers and cross-functional teams to iterate on world-class security products.

What You’ll Need:

• Experience: 3–5 years in software development with a focus on distributed systems.
• Languages: Proficiency in Kotlin or Java (and a willingness to adapt to new languages).
• Data Expertise: Hands-on experience with Snowflake, CockroachDB, Kafka, or similar operational datastores.
• Cloud Native: Strong background in Kubernetes and containerized microservice architectures.
• Location: To be considered for this role, you must meet one of the following criteria - Hybrid with the ability to commute to our Columbia, MD/Northern VA office, or Hybrid with the ability to commute to our Boston, MA office.
• Execution: Proven ability to design and execute highly technical projects within an Agile environment.
• Mindset: Accountability for production software and a drive to lead/independently manage projects.
• Education: B.S. in Computer Science or equivalent practical experience.
• FedRAMP: Must be US Citizen.

#LI-Hybrid

#LI-LP1

The Role

Fusion is a global electronics distributor building a modern data platform on top of a 20 year old legacy system. Palantir Foundry is a core part of that stack. We use it to deliver unified views of our customers, products, and operations, and we are leaning hard into AIP and agent driven workflows to compress delivery cycles. We are looking for a senior engineer who can work hands on in Foundry: building pipelines, ontology models, agents, and applications alongside our external Palantir consultants today, and progressively taking ownership as the platform matures.

This is an execution focused role with real autonomy. You will design and build solutions, work directly with business stakeholders, and have a voice in how the platform evolves.

What You’ll Do

• Build and maintain data pipelines: Design, build, and optimize batch and streaming pipelines in Foundry (Pipeline Builder with AI assist, Code Repositories, Code Workbook) that ingest data from internal and external source systems.
• Develop ontology models: Create and maintain ontology objects, relationships, link types, functions, and actions that represent business domains and power downstream applications, agents, and AIP workflows.
• Build AI native experiences with AIP: Use AIP Logic to compose AI driven functions, AIP Agent Studio to stand up domain agents, and AIP Threads or AIP Assist to embed conversational interfaces into Workshop apps. Use AIP Evals to validate prompt and agent behavior before promotion to production.
• Leverage AIP Analyst and FDE AI for delivery acceleration: Use AIP Analyst for ad hoc analytical work directly against the ontology, and lean on FDE AI and Solution Designer to scaffold ontology objects, pipelines, and starter applications. Refine the AI generated output, harden it for production, and bring it under proper change control.
• Deliver Foundry applications: Build and iterate on Workshop, Quiver, and Contour applications that give sales, operations, and leadership actionable views of the business, including embedded agentic actions and write back through Ontology Actions.
• Work alongside external consultants: Collaborate closely with our Palantir implementation partners to understand existing designs, validate data flows, and progressively take on more of the day to day Foundry work.
• Connect Foundry to the broader data platform: As the data modernization team builds out medallion layer domain stores and DBT based pipelines on Azure, help align Foundry’s ontology and ingestion paths so the platform can transition from legacy sources to the new architecture cleanly.
• Integrate with external systems: Build and maintain OSDK based integrations and APIs that connect Foundry to internal services and third party platforms.
• Engage stakeholders directly: Gather requirements from business teams, demo solutions, train end users, and incorporate feedback into iterations.
• Ensure data quality and observability: Implement validation, lineage tracking, health checks, and monitoring within Foundry pipelines. Build automated data quality checks, including AIP assisted ones, to keep data accurate and reliable.
• Apply AI tooling to your own workflow: Use AIP and AI assisted development practices to accelerate pipeline work, code review, and documentation.

What You Bring

Data Engineering Foundations

These are the bedrock skills we expect every senior data engineer on this team to have, regardless of platform. Foundry is the surface; these are the muscles underneath.

• 7+ years building production data pipelines in modern stacks.
• Strong SQL, including window functions, CTEs, set operations, and query optimization on large datasets. You can read an execution plan and explain the cost.
• Solid grasp of dimensional modeling (Kimball, star schema), Data Vault, or equivalent. You can defend a modeling choice with reasoning, not dogma.
• Experience designing for slowly changing dimensions, idempotent loads, late arriving data, backfills, and incremental processing.
• Proficiency in Python, including PySpark and pandas for transformation work.
• Working knowledge of the Spark execution model: partitioning, shuffles, skew, broadcast joins, and tuning.
• Experience with ETL and ELT patterns, CDC pipelines, and workflow orchestration.
• Familiarity with modern transformation frameworks such as DBT, including tests, documentation, snapshots, and incremental materializations.
• Understanding of columnar formats (Parquet, Delta, Iceberg), table formats, and partitioning strategies.
• Practical experience implementing data quality frameworks, data contracts, and SLAs between producers and consumers.
• Comfort with Git workflows, code review, branching strategies, and CI/CD for data platforms.

Palantir Foundry and AIP

• 2+ years hands on Palantir Foundry experience with delivered work you can describe in detail.
• Strong knowledge of core Foundry capabilities: Ontology Manager, Ontology Functions and Actions, Pipeline Builder, Code Repositories, Code Workbook, Workshop, Builds, and platform security (branching, resource allocation, rollbacks).
• Experience with Foundry analytical and integration tools: Quiver, Contour, OSDK, and Marketplace products.
• Hands on experience with AIP for augmenting data workflows: AIP Logic, AIP Assist and Threads, and AIP assisted Pipeline Builder.
• Familiarity with newer AIP surfaces is a strong plus: AIP Agent Studio, AIP Analyst, FDE AI and Solution Designer, AIP Evals, and Automate.
• Understanding of how to evaluate, guardrail, and version AI driven functions and agents in a production context.

Cloud, Architecture, and Stakeholder Skills

• Proficiency with Azure data services, or equivalent depth in AWS or GCP with willingness to work in Azure.
• Solid understanding of data modeling across relational, analytical, and document paradigms.
• Ability to translate business requirements into technical designs and explain trade offs to non technical stakeholders.
• Self directed work style. You identify what needs doing and get it done without waiting for direction.

Nice to Have

• Production experience with DBT on Azure (Synapse, Fabric, or Databricks).
• Experience with medallion architecture (Bronze, Silver, Gold) or lakehouse patterns on Databricks, Snowflake, or equivalent.
• Experience evaluating LLM powered features: prompt design, eval harnesses, hallucination guardrails, and cost or latency tuning.
• Experience building or operating real time pricing, recommendation, or scoring engines.
• Familiarity with electronics distribution, supply chain, or ERP data, particularly Dynamics GP and Great Plains.
• Background in domain driven design or microservices architecture.
• TypeScript or C# for OSDK consumers and downstream services.
• Exposure to CRM, payment, or logistics API integrations.

Why Fusion

• Greenfield meets legacy: You’ll help build a modern data platform while keeping a 20 year business running. Real engineering problems, not toy projects.
• Real impact, small team: A lean team where your work is visible and your judgment matters. No layers of approval.
• AI first engineering culture: We use AIP and AI tooling aggressively. One engineer with the right tools does the work of three.
• Global scale: Fusion operates across the US, Singapore, and Hong Kong. The platform serves users worldwide.

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin.

Responsibilities

• Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
• Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems
• Participate in a 24/7 on-call rotation to resolve critical issues
• Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice

You may be a good fit if you

• Have 6+ years of experience in software development and operating distributed systems
• Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)
• Have deep experience using and extending containerization technologies, preferably Kubernetes
• Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS)
• Possess a customer focused mindset, treating internal developers as your primary users
• Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution
• Prefer automation over manual processes ("allergic to ops work")
• We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil

Strong candidates may also have experience with

• Designing and implementing secure, multi-tenant runtime environments from first principles
• Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI
• Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
• Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)
• Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426182

The Team

This role can sit in our NYC HQ on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones. We are looking for an experienced Senior Engineer for our SRE, Atlas team to support, maintain and grow the Atlas platform. As a senior SRE, you will be expected to be able to design & build complex systems, operate with autonomy and act as owner for everything you do. 

The SRE Atlas team works alongside the various Atlas software engineering teams to provide expertise about running systems at scale, build new tooling and automation and perform essential maintenance of the Atlas fleet. 

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions that have the ability to impact our customer’s most crucial workloads. 

Role Overview

We are seeking a talented Site Reliability Engineer (SRE) with a strong infrastructure background. This role requires engineers to have a customer-first mindset to ensure that everything we do results in a stronger product and a better experience for all Atlas customers. 

The ideal candidate should

• Have 5+ years of experience running critical systems at scale
• Value efficiency in processes and operations, and display a preference for automation over manual processes (“allergic to ops work”)
• Be familiar with a major cloud provider (AWS, Azure, or GCP) and possess the ability to build and operate systems in a multi-cloud environment
• A strong understanding of how to run a large scale Linux environment, including low level fundamentals 
• Firm grasp of at least one modern programming language, beyond basic scripting (Go, Ruby, Python)
• Solid understanding of web and network protocols and standards (HTTP, TLS, DNS, etc)

Special Requirements:

• Be a US Citizen

Expectations

• Participate in the development of a reliable and resilient multi-cloud platform that hosts business critical applications for a wide & varied range of customer applications
• Collaborate with service-owning teams to provide internal support, solve technical challenges and adapt or build tooling to solve novel use cases in a generic fashion
• Participate in a 24/7 on-call rotation to swiftly resolve issues related to any disruption of our customer facing Atlas fleet, ensuring minimal disruption and high availability

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426187

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.

You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.

This role can be based out of our Boston, New York City, Raleigh, Miami, Pittsburgh or remotely in the United States while physically based in an Eastern or Central time zone location. 

The ideal candidate should

• Have 6+ years of experience working on software development and operating distributed systems
• Proficiency in Python, Go, or a similar language
• Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs.
• Possess a customer-focused mindset
• Value efficiency in processes and operations
• Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil
• Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market
• Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
• Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)

Responsibilities 

• Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
• Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing
• Identify and configure key metrics to detect incidents and quantify service health, availability, and performance
• Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure
• Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel

Strong candidates may also have experience with:

• Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273396252

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, or remotely in the United States region.

Responsibilities

• Manage a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers
• Help develop a clear technical vision and comprehensive roadmap for our runtime environment, balancing long-term strategic infrastructure goals with immediate engineering needs
• Contribute through light hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges
• Act as the primary liaison for the Fleet Management team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations

You may be a good fit if you:

• Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
• Possess a customer-focused mindset, treating internal developers as your primary users
• Value efficiency in processes and operations, and have a track record of optimizing team workflows
• Prefer automation over manual processes ("allergic to ops work"), fostering a culture of building software solutions to eliminate toil
• Have deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators) so you can effectively guide the team's technical decisions
• Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
• Have a high level of empathy, responsibility, ownership, and accountability
• Excellent verbal and written technical communication skills

Strong candidates may also have experience with:

• Leading major architectural shifts, such as migrating teams from traditional IaC to Operator-driven lifecycle management
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426152

The Director of Application Management is a senior, executive-level leadership role responsible for defining and executing the global strategy for application management, managed solutions, and next-generation AI-enabled service offerings.

Operating with VP-level scope and accountability, this leader will oversee a globally distributed organization spanning U.S.-based managed services and international application management teams. The role also owns the creation and scaling of new strategic capabilities, including Site Reliability Engineering (SRE), Interface-as-a-Service, and AI-driven (agentic) development.

This position requires a balance of strategic vision, operational rigor, and deep platform expertise to deliver highly reliable, scalable, and continuously evolving managed services for clients worldwide.

Key Responsibilities

Global Application Management Leadership

• Own and scale a global Application Management function supporting mission-critical client environments across all regions
• Define and implement a standardized global operating model, including SLAs, KPIs, and delivery frameworks
• Drive consistency, quality, and continuous improvement across geographically distributed teams
• Ensure alignment with regional regulatory, operational, and client-specific requirements

U.S. Managed Solutions Leadership

• Lead the U.S.-based managed solutions organization with full accountability for service delivery outcomes
• Ensure tight integration across infrastructure, platform, and application layers
• Establish a culture of ownership, accountability, and operational excellence
• Serve as executive escalation point for critical client and operational issues

SRE & Reliability Engineering

• Build and scale a modern SRE function focused on reliability, automation, and observability
• Define reliability targets, error budgets, and operational maturity standards
• Embed SRE principles across all service delivery teams
• Drive adoption of proactive, automated, and self-healing operational models

Next-Generation Service Development

• Define, build, and scale new managed service offerings, including:
• Interface-as-a-Service
• Agentic AI development for product customization and workflow automation
• Standardized global upgrade services
• Productize services with clear delivery models, value propositions, and scalable execution frameworks
• Partner closely with Product and Engineering to align service capabilities with platform evolution

AI & Automation Strategy

• Lead the adoption of AI-driven capabilities to transform service delivery and operational efficiency
• Develop and scale agentic workflows for configuration, customization, and support
• Identify and execute opportunities to reduce manual effort through intelligent automation
• Ensure secure, compliant, and responsible use of AI across client environments

Client Lifecycle & Upgrade Excellence

• Establish a global, repeatable model for client upgrades across platforms and geographies
• Improve predictability, reduce risk, and enhance the client experience during upgrades
• Integrate upgrade processes into ongoing managed service delivery
• Drive automation and standardization across lifecycle operations

Executive Stakeholder Engagement

• Act as a senior leader across Product, Engineering, Sales, and Customer Success organizations
• Engage directly with strategic clients and executive stakeholders
• Provide clear, data-driven reporting on performance, risks, and transformation initiatives
• Influence roadmap and investment decisions based on operational insights

Required Experience & Qualifications

Leadership & Operational Experience

• 15+ years of experience in enterprise software, healthcare IT, or managed services
• Proven experience leading large-scale, globally distributed teams
• Demonstrated success operating at a senior leadership (VP-equivalent) level
• Strong track record managing mission-critical application environments or SaaS operations
• Experience building and scaling SRE or reliability-focused organizations

InterSystems Expertise (Strongly Preferred)

• Deep experience with:
• HealthShare
• TrakCare
• HealthConnect / HealthConnect Cloud
• IRIS data platform
• Strong understanding of InterSystems-based architectures, interoperability, and operational models

Technical & Domain Expertise

• Experience with cloud and hybrid environments (public and private cloud)
• Strong understanding of integration frameworks and interface engines
• Familiarity with DevOps, CI/CD, and infrastructure-as-code practices
• Experience with observability, monitoring, and incident management tooling

AI & Innovation

• Experience applying AI and automation in enterprise or operational environments
• Understanding of agentic AI concepts and enterprise use cases
• Ability to translate emerging technologies into scalable service offerings

Leadership Expectations

• Operates with VP-level ownership, autonomy, and decision-making authority
• Drives clarity and structure across complex, global operations
• Balances long-term strategy with hands-on execution
• Builds and leads high-performing, accountable teams
• Establishes a culture of continuous improvement and innovation
• Communicates effectively at both executive and technical levels

Success Measures

• Standardized and scalable global application management model in place
• Improved SLA performance, uptime, and client satisfaction across regions
• Successful launch and adoption of SRE, Interface-as-a-Service, and AI-driven offerings
• Measurable reduction in manual operations through automation and AI
• Predictable, efficient global upgrade execution
• Strong alignment across Product, Services, and client outcomes

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.

HERE'S WHAT YOU'LL NEED

• Bachelor or Master's degree in Engineering required. Bachelor or Master's degree in Engineering from an ABET accredited program preferred.
• Minimum of 6 years of related experience required.
• Current PE in the United States preferred.
• LEED accreditation preferred.
• Must possess a working knowledge and experience, while still acquiring higher level knowledge.
• Excellent verbal and written communication skills.
• Able to effectively handle multiple projects.
• Experience in computer applications for engineering design programs (i.e. Revit, Trane Trace or Trane 3D Plus) required.

Mid-Market Account Executive

As an Account Executive on our Mid-Market Sales team, you will assist in Datadog’s overall business growth by strategically engaging and closing net-new customers across mid-to-large size organizations. Sellers follow a well-defined methodology, collaborate with internal stakeholders, identify the customer's unique needs, and clearly convey the value of the Datadog product. Mid-Market reps have the opportunity to grow their careers in Sales and continue contributing to Datadog team success.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Focus entirely on net-new logo acquisition
• Convert inbound leads to closed opportunities 
• Leverage tools such as Sales Navigator and DiscoverOrg
• Strategically prospect into Chief Technology Officers, Engineering/IT Leaders, and technical end users (SRE, DevOps, DevSecOps)
• Multi-thread into different departments of a complex organization
• Collaborate with Sales Development Representatives to drive top of funnel activity
• Manage the full sales cycle, including negotiations and on-site technical demonstrations 

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.

Who You Are:

• Experienced in hunting and closing net new logos
• Able to strategically map out and break into large scale organizations
• Curious, motivated, and driven as a sales person
• Bold on the phones and creative in your emails
• Able to sit up to 6 hours, traveling to and from client sites via auto, train, or air, up to 30% of the time

 Benefits and Growth:

• High income earning opportunities based on self performance
• Opportunity for Presidents Club
• New hire stock equity (RSU) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing 
• Sales training in MEDDIC and Command of the Message 
• Intra-departmental mentor and buddy program for in-house networking 
• An inclusive company culture, opportunity to join our Community Guilds
• Generous global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Who We Are

Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.

Toast Now is the app that puts the power of the entire Toast platform into the pockets of restaurant managers and operators everywhere. Using their own phones, managers can track the performance of their restaurant in real-time during service and fine-tune restaurant operations from the floor of their restaurant. This app also helps staff rapidly diagnose and fix unexpected issues with the help of Toast Customer Care. By leveraging native mobile apps, we provide a rich UX that makes it easier than ever to run a thriving restaurant with great service for guests and a strong bottom line. 

Our team is agile and customer-obsessed. We have high standards for customer satisfaction, and we strive to deliver high quality features in rapid iterative cycles.

About this roll* (Responsibilities) 

As an SE3, you aren't just a contributor; you’re a key ingredient in our technical leadership. You will:

• Drive the end-to-end delivery of complex features, from initial technical design and "proof of concept" to global rollout.
• Champion best practices for Android development, ensuring our CI/CD pipelines and testing cultures are top-tier.
• Partner closely with UX and PM to slice through ambiguity and find the most efficient ways to deliver user value.
• Act as a technical leader for more junior engineers, conducting thoughtful code reviews and fostering a culture of continuous learning.

Do you have the right ingredients?* (Requirements)

• Typically 5+ years of professional software development experience, with a proven track record of shipping high-impact native Android apps.
• Deep knowledge of the Android SDK, Kotlin, and modern architectural patterns (MVVM, MVI).
• Experience working with backend technologies like GraphQL and Kotlin microservices (expect 70/30 between Android and backend).
• Experience with automated testing (Unit, Integration, and Espresso)  in an agile environment.
• Excellent cross-team communication skills on complex technical topics.
• Passionate about technology and learning new things.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

#LI-REMOTE

NetSuite Engineer

Our mission is to improve the performance of athletes and teams, which we do by engineering the premier technology platform for sport. We've been at the forefront of sports technology and science since 2006 - we don't just work in the sporting industry, we are actively changing its future.  Our solutions are designed to help athletes and coaches “play smart” in a world where 1% can literally mean the difference between winning and losing.

We work with over 5,000 teams around the world, empowering coaches, managers and trainers in premier teams in the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA and more. We provide the information they need to optimize athletes’ health, game-day readiness, and performance, as well as in-game tactics.  Our solutions include video analytics and athlete monitoring solutions, and we are passionate about helping sports organizations at all levels to better scout, recruit, teach, and win.

WE WANT PEOPLE WHO ARE PASSIONATE ABOUT DEVELOPING INNOVATIVE SOLUTIONS 

We have an opportunity for a NetSuite Engineer to join our team, based in our Boston office.

This hands-on role will suit someone who is passionate about technology with extensive NetSuite experience, who is looking to make a significant contribution to our business.  The role will be an integral part of our Development and Finance teams, working closely with global counterparts from different functional areas in our business.

WHAT YOU’LL DO 

• Act as the primary owner of NetSuite, including all customizations, scripts and integration points.
• Design, develop and maintain custom NetSuite applications, SuiteScripts (1.0 and 2.x) 
• Implement and maintain ERP and CRM customizations to support evolving business needs
• Troubleshoot and maintain integrations with external systems using SFTP connections, middleware (e.g. Celigo, Google Cloud Platform) and Netsuite APIs
• Write and maintain test scripts, logs and validation processes to improve system stability and reduce manual intervention
• Collaborate with internal teams and vendors to coordinate system upgrades, regression testing and issue remediation
• Build and maintain Saved Searches, reports, custom workflows and automation using SuiteFlow and SuiteScript
• Apply technical expertise to deliver system improvements that drive accuracy, efficiency and usability
• Provide support for business users, including user access maintenance, error troubleshooting and training
• Own and optimize the custom Firebase-based integration that synchronizes data between Salesforce (CRM) and NetSuite (ERP), ensuring seamless "Lead-to-Cash" automation and data integrity.

WHAT YOU’LL NEED

• Minimum 5+ years of experience managing and customizing NetSuite ERP & CRM
• Strong understanding of Netsuite architecture, including custom records fields, workflows, and SuiteBundles
• High level business process and analytical skills.
• Experience managing file-based integrations using SFTP
• Ability to analyze and debug existing scripts and integrations, including legacy configurations
• Ability to quickly assess business needs, develop innovative plans to solve the problems, and lead the implementation of these plans
• Strong communication skills: able to write technical documentation, explain systems to both technical and non-technical audiences and escalate effectively when needed
• Proven track record in working independently and proactively in a fast-paced environment
• Experience supporting Netsuite CRM, e-commerce modules, and Salesforce integrations
• Experience managing custom middleware solutions, like Firebase, Celigo, or Google Cloud Platform (GCP), to facilitate complex data transfers between Salesforce and NetSuite.
• Exposure to scripting or automation outside of Netsuite, such as PHP, JavaScript, SWIFT, SQL & shell scripting

• Computer Science degree or similar technical background preferred

WHY CATAPULT? 

• We have amazing people. We can promise you will work with some of the most ambitious and intelligent people in an exciting industry, and you will do some of the best work of your life.
• We encourage our people to have constructive, open and honest communication in order to make Catapult extraordinary; innovate and create smart solutions; establish a collaborative, yet challenging, environment to develop our performance and the performance of our customers.
• Our workforce spans more than 20 countries, you'll have the opportunity to work across multiple nationalities and cultures, and build your global awareness and capability 
• We value improvement and development. We are challenging ourselves to continuously grow and become a high-performance company. That means we maintain a growth mindset in everything we do, and our people are always looking for ways to do things better.  There is unlimited opportunity to grow, do more, and do better.

Compensation & Benefits

The target Total Compensation range for this position is $100,338 - $200,675 per year. This range is inclusive of base salary and a target incentive plan (which may include equity, commission, or other bonus structures). Your specific compensation within this range will be determined by factors such as your geographic location, relevant experience, and job-related skills.

In addition to this compensation, Catapult also offers generous paid leave and recognized company holidays, and the opportunity to participate in our comprehensive benefits package, including Health, Dental, and Vision insurance, and 401(k) retirement plan with company match.

Whether you’re interested in sports or not, you’ll have the satisfaction of knowing your work is supporting some of the most successful teams and athletes on the planet! 

Research shows that while men apply for jobs when they meet an average of 60% of the criteria, women and other marginalized groups tend only to apply when they check every box. So if you have what it takes, but don't meet every single point in our job ad, please still get in touch! We would love to have a chat and see if you could be a great addition to our team. We are building the future of sports performance. Our priority is to find the brightest talent who can add to our team culture, actively contribute, and be excited about what they do.

All offers of employment are subject to Catapult's positive prehire check. To find out more, please contact the Talent Partner for this role.

Paperless Parts provides the manufacturing industry with a SaaS platform that empowers the next generation of manufacturers to join the digital age. When manufacturers use our product, they free up valuable time for faster quoting and estimating, leading to increased profitability and reduced manual steps. From life-saving medical devices to critical components that unlock new depths of outer space, our customers produce parts that go into some of the world’s coolest and most impactful products. It is our mission to enable manufacturers with the technology they need to drive innovation forward.

We are a team of motivated and hardworking creators and doers. If you’re looking to have a direct impact on a Series B fast-scaling company that is revolutionizing an essential industry, read on and apply!

This is a full-time hybrid position based in Boston, MA.

This position requires activities that are subject to US Export Control Laws and require US Citizenship or Green Card Holder.

About the Role 

Step into the role of Principal Software Engineer and serve as a technical force multiplier for our engineering organization. In this high-leverage position, you will look beyond the immediate roadmap to define the architectural vision that will support Paperless Parts for years to come. You will bridge the gap between business strategy and technical execution, ensuring our systems are robust, scalable, and AI-ready.

This role is a powerful catalyst for change and innovation. You will be responsible for modernizing our engineering practices—integrating AI agents into the development lifecycle, driving the evolution from monolithic to a service architecture, and mentoring our engineers to become the next generation of leaders.

Who You Are

• Technical Visionary & Pragmatist: You have a proven track record of evolving complex architectures in scale-up environments. You balance the pursuit of "technical purity" with business reality, making hard trade-offs with incomplete information.
• Force Multiplier: You don't just write great code; you make the entire team better. You are passionate about mentorship and teaching others effective patterns for design, review, and agentic coding.
• AI Pioneer: You think strategically about how AI agents and workflows can fundamentally change how we build software. You believe that "what is good for humans is good for AI," championing standards that serve both.
• Business Partner: You understand that technical debt is a business risk. You can translate complex infrastructure needs into tangible business value (ROI, reliability, speed) to help leadership prioritize effectively.

Why You'll Love Working Here

• Architectural Authority: You will lead the design of our most critical systems, making high-stakes decisions on migrating to distributed architectures and defining our data strategy.
• Optimizing the AI-Native Workflow: You will have the freedom to operationalize AI at scale—implementing agents for ticket resolution, automated reviews, and documentation—driving significant improvements in modern engineering efficiency.
• High-Impact Work: Our software is used in mission-critical industries like aerospace and defense. The reliability and performance standards you set directly impact the production of life-saving and critical components.
• Culture of Excellence: You will help establish a culture of deep observability and operational maturity, leading the charge on incident management and blameless postmortems.

What You'll Do

• Architect & Evolve: Lead the technical strategy for migrating legacy monolithic patterns to scalable, service architectures. You will define the long-term vision for our backend systems, APIs, and cloud infrastructure.
• Operationalize AI Development: Drive the adoption and continuous improvement of AI-assisted workflows (using tools like Cursor and Claude Code). You will champion the strategic integration of AI agents to enhance autonomous task execution and leverage AI throughout the software life cycle.
• Drive Operational Maturity: Instill a strong focus on reliability and site operations across the team. You will lead initiatives to improve observability (logging, monitoring), define clear runbooks, and facilitate postmortems that turn incidents into structural improvements.
• Elevate Engineering Standards: Enforce "context-first" engineering. You will champion the creation of Architectural Decision Records (ADRs) and high-quality documentation, ensuring our codebase provides the explicit context needed for both human alignment and effective AI agent performance.
• Mentor & Lead: Act as a technical beacon, dedicating significant time (~20%) to pairing, design reviews, and mentoring engineers across different levels to elevate the team's collective skill set.
• Strategic Alignment: Collaborate with R&D leadership to prioritize technical initiatives. You will articulate the ROI of infrastructure investments and technical debt reduction in terms of customer reliability and business agility.

What You'll Bring

• 12+ years of experience in software engineering, with a strong background in architecting SaaS products at scale (start-up to scale-up transition experience preferred).
• Deep Architectural Expertise: Proven success decomposing monoliths and designing distributed systems, with strong judgment on build-vs-buy decisions and technology selection.
• Modern Stack Proficiency: Expert-level knowledge of modern web frameworks and databases, along with deep experience in AWS cloud-native patterns (containers, serverless).
• AI/LLM Fluency: Practical experience leveraging LLMs and AI agents in a production engineering workflow. You understand prompt engineering, context limits, and how to structure codebases for AI interpretability.
• Operational Rigor: A strong commitment to production reliability, with experience designing systems for observability and leading incident response processes.
• Communication Mastery: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and influence decisions without relying on authority.

Why Join Us?

• Impactful Work: Your contributions will power industries critical to our society and economy, making a real difference.
• Continuous Learning: We invest in our people and offer opportunities to learn, grow, and advance their careers.
• Supportive Culture: Our team is our greatest asset, and we foster an environment where everyone can thrive.

If you’re a forward-thinking engineer eager to make a significant impact while working with a talented, driven team, we’d love to hear from you!

Salary range:  $212,000 - $286,000

Summary:

As a Solution Architect at Paperless Parts, you will play a pivotal role in bridging the gap between our customers’ business needs and our product’s technical capabilities. You’ll partner closely with both our Sales and Professional Services teams to ensure customers receive solutions that are technically sound, scalable, and aligned with their strategic objectives.

In the pre-sales stage, you’ll work alongside Account Executives and Solutions Engineers to engage prospects in discovery, evaluate their manufacturing workflows, and scope tailored solutions. This includes identifying integration requirements (ERP, CRM), determining implementation complexity, and shaping Statements of Work and project plans that set realistic expectations.

Post-sale, you’ll be a resource to the implementation teams, providing context and guidance around our services engagements, ensuring a smooth path to go-live. You’ll act as the technical lead on large implementation projects, partnering with project managers, engineers, and customer stakeholders to deliver lasting value through platform adoption.

This role is ideal for someone who thrives at the intersection of manufacturing process expertise, technical systems knowledge, and customer-facing collaboration.

This is a full-time position based in Boston, MA and requires on-site presence, with a hybrid schedule as needed.  

Responsibilities

• Lead technical design and business process discovery sessions to identify client requirements, uncover operational challenges, align solutions with strategic business goals, and develop a scope of work.
• Develop and deliver customized solution proposals tailored to client-specific use cases.
• Create statements of work and pricing for custom services engagements.
• Provide technical guidance on software integration, deployment, hosting, and security considerations.
• Partner closely with Account Executives to drive sales opportunities and build strong customer relationships.
• Support the development of business and technical content for proposals, statements of work, and best practices ensuring alignment with customer needs.
• Provide design and deliver support for high-impact solutions by collaborating with Professional Services teams to translate customer requirements into actionable technical architectures and implementation plans.
• Collaborate cross-functionally with Product, Engineering, and Services teams to ensure successful solution delivery.
• Provide structured product and industry feedback to internal teams to influence product roadmap and ensure alignment with customer needs and market trends.
• Represent Paperless Parts at customer sites and industry events; travel up to 25% as needed.
  
  

Requirements

• Bachelor's degree in Business, Computer Science, Mechanical Engineering, or a related field.
• Minimum 3 years of experience in a Solution Architect, Sales Engineer, Consultant, or similar client-facing technical role.
• Hands-on experience designing and delivering integrated solutions using modern APIs.
• Proficiency with REST APIs, SQL, and scripting or automation using Python (preferred).
• Solid understanding of manufacturing workflows, processes, and digital transformation challenges.
• Strong ability to quickly learn and apply technical concepts in dynamic environments.
• Proven success in conducting discovery sessions and translating client needs into viable solutions.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Strong communication and presentation skills; able to explain technical concepts to diverse audiences.
• Collaborative mindset with the ability to build trust and influence both clients and internal stakeholders.
• Programming experience or familiarity with tools like JavaScript, Excel scripting, or automation frameworks is a plus.
• Willingness to travel up to 25% for client meetings, training, or industry events.

Salary range: $110,000-$150,000

This role is also eligible for bonus.

The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee’s pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, performance, sales or revenue-based metrics, and business or organizational needs.

ABOUT THE TEAM

The People Analytics team is at the forefront of transforming how we understand and optimize our workforce. We are a dynamic group of analytical thinkers and storytellers who leverage advanced analytics and robust methodologies to create strategic insights from complex HR data. Collaborating closely with HR Business Partners, Program Management Teams, Business Operations, Talent Acquisition and various cross functional stakeholders we provide actionable insights that drive informed decisions across the entire employee lifecycle; from optimizing talent acquisition and development to enhancing engagement and retention. Our work directly shapes a thriving employee experience, fuels organizational growth, and ensures our people strategy is truly data-driven.

ABOUT THE JOB

This role is central to our People Data & Analytics team, where you will be instrumental in building and maintaining the robust data infrastructure that powers our strategic insights. You'll own the full data lifecycle, from ensuring accurate ingestion and integration of diverse HR data sources, to designing, developing, and optimizing data models and pipelines. Your primary objective will be to transform raw, disparate information into clean, reliable, and analytics-ready datasets, empowering our People Analysts and business stakeholders to unlock deeper understanding of our workforce, enhance employee experience, and drive data-driven decision-making. Success in this role requires a strong technical foundation, meticulous attention to data quality, and a passion for crafting efficient data solutions.

WHAT YOU'LL DO

• Design, build, and optimize robust ETL/ELT pipelines to reliably ingest, integrate, and transform diverse people data from various HR systems (HRIS, ATS, LMS, etc.) into our data platform.
• Develop, maintain, and govern scalable and secure data models, schemas, and ontologies specifically for people analytics, ensuring data quality, consistency, and accessibility for downstream consumption.
• Contribute to the strategic design, development, and evolution of our people data platform and tooling, advocating for engineering best practices, automation, and a scalable analytics ecosystem (e.g., leveraging SQLMesh, Iceberg, Flyte).
• Partner closely with People Analysts, HR Business Partners, and other stakeholders to understand their analytical needs and translate them into robust data solutions, providing well-structured, documented, and reliable datasets.
• Implement and monitor data quality checks, identify discrepancies, troubleshoot data issues, and ensure the reliability and integrity of people data across all systems.
• Continuously monitor the performance of data pipelines and models, identifying bottlenecks and implementing solutions to ensure the efficiency and scalability of our people data infrastructure.
• Create and maintain comprehensive documentation for data pipelines, models, and processes, and champion data engineering best practices (e.g., version control, testing, CI/CD) within the team.
• Implement and enforce strict data security measures and ensure all data handling practices comply with internal policies and external regulations (e.g., GDPR, CCPA) related to employee data privacy.
• Collaborate with broader enterprise analytics and data engineering teams to align on data architecture standards, integrate people data with other business domains, and contribute to the overall evolution of the company's data platform.

REQUIRED QUALIFICATIONS

• 5-7 years of progressive experience in Data Engineering, Analytics Engineering, or a similar role focused on building and optimizing data pipelines and data infrastructure.
• Expert-level proficiency in SQL for complex data manipulation and querying, and advanced Python for scripting, data processing, and automation.
• Extensive experience with cloud-based data warehousing solutions (e.g., Snowflake, Google BigQuery, AWS Redshift, Databricks/Delta Lake) and data lake technologies (e.g., AWS S3, Azure Data Lake Storage).
• Deep understanding and proven experience in designing, implementing, and maintaining robust data models (e.g., dimensional modeling, Kimball methodology) for analytical purposes.
• Hands-on experience building and optimizing complex ETL/ELT processes and data pipelines using modern tools such as dbt, Apache Airflow, Flyte, Dagster, or similar orchestration platforms.
• Excellent communication skills, both written and verbal, with the ability to translate technical concepts for non-technical stakeholders and collaborate effectively across diverse teams.
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
• Strong technical foundation in data engineering, with expertise in SQL, Python, and experience working with cloud-based data platforms (e.g., AWS, GCP, Azure).

Preferred Qualifications:

• Experience with big data processing frameworks (e.g., Apache Spark, Flink) and advanced data warehousing features like schema evolution or time travel (e.g., Apache Iceberg, Delta Lake).
• Direct hands-on experience with tools mentioned in our stack like Palantir Foundry, SQLMesh, Flyte, or similar cutting-edge data orchestration and transformation platforms.
• Relevant professional certifications from major cloud providers (e.g., AWS Certified Data Analytics - Specialty, Google Cloud Professional Data Engineer).
• Experience with tools like Terraform, CloudFormation, Docker, or Kubernetes for managing data infrastructure and deploying applications.
• Familiarity with integrating data pipelines with leading BI tools (e.g., Tableau, Power BI, Looker) to optimize dashboard performance and data accessibility for end-users.
• Deep expertise working with data from specific enterprise HRIS systems like Rippling, Workday, and Oracle HCM Cloud including their data models and APIs.
• Solid understanding of HR data concepts, metrics, and common HR systems (HRIS, ATS, LMS), with a strong interest in People Analytics.

Software Engineer, Infrastructure

AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our solution helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, ICONIQ Growth, and Ajax Health. We're a high-growth AI and Data company scaling rapidly.

We are a team of agentic builders who rely heavily on AI development practices to accelerate our ability to deliver value to our customers. We believe in extreme ownership and agency, where every engineer takes responsibility for working throughout the organization to land impact with customers. We're a close-knit team that enables high levels of autonomy by constantly communicating our intentions, sharing problems and learnings, and helping each other learn and grow.

As an Infrastructure Engineer, you’ll be directly interacting with other teams across Engineering and production. Through collaboration, you’ll help design, build, and operate the platform primitives—compute, networking, storage, CI/CD, and developer tooling—that power our applications end-to-end. You’ll drive reliability, security, and efficiency while enabling a great developer experience. You’ll also contribute to our strategic goals as we evolve our infrastructure and our practices to maximize our internal and customer impact.

Hiring for two roles: Mid level and Senior level

Team Mission

Our Platform Team is the backbone that keeps product teams shipping quickly and safely. We deliver direct customer value through our cloud capabilities and security. We impact internal success through partnerships with application teams and enabling a great development experience.

Responsibilities

• Steward core platform services: Implement container orchestration, service mesh, ingress, and secrets management at scale.
• Cross-functional partnership: Collaborate with Product, Engineering, Data, and Security to deliver external and internal value.
• Harden reliability: Improve observability (logging, metrics, tracing), and automated remediation to increase availability and latency.
• Automate everything: Use infrastructure-as-code and configuration management to make systems and processes repeatable, auditable, and secure.
• Scale cost-effectively: Optimize cluster utilization, autoscaling, and storage/networking to balance performance, reliability, and spend.
• Level-up developer experience: Build internal tooling, templates, and golden paths that reduce cognitive load and time-to-first-deploy for product teams.
• On-call & incident response: Participate in a sustainable on-call rotation, drive post-mortems, eliminate toil, and reduce MTTR via automation.
• Enable fast, safe delivery: Evolve CI/CD pipelines (build/test/release), and environment strategies (dev/stage/prod).
• AI: You instinctively build using agentic tools (Claude Code, Codex, etc) and are invested in pushing the boundaries of what is possible with agentic development

Your Profile

• 4+ years of experience in software engineering with a focus on infrastructure, DevOps, and/or platform engineering
• Team focused mindset, with solid collaboration and communication skills, with a focus on enabling others.
• Pragmatic problem-solver who communicates clearly, documents well, and thrives in fast-moving, high-ownership environments.
• Experience working with cloud infrastructure, specifically Kubernetes.
• Understanding of observability: metrics, logs, traces, and building actionable alerts/SLOs.
• Familiarity with infrastructure-as-code tools.
• Some programming experience in at least one modern programming language.
• Awareness of security fundamentals: IAM, workload identity, network policies, encryption, and secrets management.

Nice to Haves

• Open source contributions
• Experience with
  • Company transitioning from startup to high-growth
  • Google Cloud Platform
  • Terraform
  • Python, Go, and/or JavaScript (TypeScript)
  • Building and managing CI/CD systems and developer tooling

You must have an eligible work permit in the USA or Canada to be considered for this position.

AcuityMD is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, market data and may vary from the range provided. Base Salary Range: $155,000 to $230,000

We Offer:

• Ground floor opportunity: Join a high-growth startup, backed by world-class investors across Enterprise SaaS and Medical Devices (Benchmark, Redpoint Ventures, and Ajax Health).
• Learning Budget: Reimbursements for relevant learning and up-skilling opportunities.
• Remote work: AcuityMD is committed to supporting full-remote flexibility for employees in the US. We provide a work-from-home stipend for all employees.
• Flexible PTO: Generous time off and flexible hours give you the freedom to do your best work.
• Paid Health, Dental, and Vision Plans: We offer 100% paid health, dental, and vision plans for all employees and 75% paid for our employees' dependents.
• Home Office Stipend: $1,000 to invest in remote office equipment and WiFi reimbursement.
• Optional Team Retreats: We meet in-person multiple times per year for co-working and social gatherings.
• Parental Leave: 8-16 weeks of fully-paid, flexible parental leave.

Who We Are:

The Company: We are builders, who are inspired by our mission to expand patient access to cutting-edge medical technologies. We value working collaboratively to solve hard problems for our customers with simple, innovative solutions. We push ourselves to learn with empathy. We foster an active culture of mentorship and inclusion, and we welcome new team members that share our values.

We're backed by Benchmark, Redpoint Ventures, Ajax Health, and several other leading software and medical device investors. Since Acuity launched in 2020, we've brought on customers ranging from publicly traded Fortune 500 companies to innovative growth-stage companies and regional medical device distributors.

The Product: AcuityMD uses data and software to help teams collaborate around the complex relationships they have with the users of medical technologies: doctors. Our platform empowers medical technology companies to see how their products are used, understand why outcomes vary, and identify opportunities where physicians or sites of care can better serve their patients.

AcuityMD is an Equal Opportunity Employer

AcuityMD is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage people of all backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of AcuityMD are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.

Who We Are: 

Boston-based company Piaggio Fast Forward Inc. (PFF) was founded in 2015 by the Piaggio Group (the Italian manufacturer that created the iconic Vespa scooter). We are on a mission to build technology products that move the way that people move. In order to bring products to market today, PFF is solving the problem of robotic interaction with people in dynamically changing environments. We’re innovators, neighbors and creators with a passion for local living and pushing the limits on urban and business transportation . We support a sustainable mobility ecology with healthy lifestyles, social connectivity and productive work environments available to all, regardless of age or abilities.

The Role: 

We are hiring an Embedded Engineer to join our multidisciplinary engineering team. The ideal candidate is an experienced engineer who is not only a strong team player but can also mentor colleagues. To support collaboration and team engagement, this role is performed on-site at our Boston office. The Embedded Engineer will have the opportunity to collaborate across teams while maintaining our embedded platform services. You will have a major impact on PFF’s embedded consumer products.  This is an individual contributor role reporting to the VP, Software Engineering. 

What You'll Do: 

• Develop the embedded firmware platform for current and next generation of PFF products for high throughput embedded processing.
• You will be responsible for applying solid software engineering design patterns and best practices needed to evolve and expand the core codebase to deliver new ideas and technical innovations into products that continue to delight our customers and set the satisfaction bar higher
• Design, develop and refactor real-time software architectures and modular software components
• Collaborate with multidisciplinary teams to define, design, test and maintain embedded platform’s services.
• Mentor and coach colleagues to expand the effectiveness of those around you.
• Assure a high standard of quality in your own work and in the work of others on your team via good coding practices, process improvements, clean designs, smart testing and review practices.

What You Bring: 

• Bachelor Degree in CS, related or equivalent experience
• 5+ years real-time embedded software engineering experience in a multi-threaded Linux environment
• Deep Proficiency in C and C++ programming for a Linux runtime environment
• Experience developing embedded devices with a RTOS such as FreeRTOS a plus
• Solid understanding about ARM specification, computer architecture, operating system
• Experience in boot code, device drivers, CPU & SOC initialization 
• Able to read and write scripts in common languages, Bash, Python, etc
• Knowledge of Bluetooth and Wi-Fi radio communication protocols
• Experience with embedded peripherals such as Ethernet, I2C, I2S, SPI, and USB
• Excellent verbal and written communications skills
• Experience in troubleshooting hardware using Oscilloscope, Logic Analyzer.
• Proficient in the use of common source code control and defect tracking systems (Jira & Git)
• Strong ability to work within team structure, planning and deliverables. architecture 

ABOUT THE TEAM

Anduril’s Maritime Division has assembled a diverse team of experts in software, robotics, artificial intelligence, sensor fusion, and data analysis to create software and hardware solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous systems to tackle the extremely challenging industry demands of maritime operations. Anduril has brought to market a unique, ultra-long-range, full-ocean-depth underwater vessel platform and a completely refreshed maritime vehicle and flexible manufacturing architecture that scales from "small" to "extra-large" vehicle sizes. Today, Anduril is executing on billion-dollar contracts while simultaneously performing Robot-as-a-Service (RaaS) AUV operations.

We are seeking to sustain our early successes with deep investment in an expanded product portfolio. These products, including Dive-XL, Dive-LD, Copperhead, Seabed Sentry, and other unannounced systems, will deliver a coherent system-of-systems, enabling the end-to-end conduct of a variety of autonomous missions in the maritime domain. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril’s Maritime Division and help us build the future of defense capability.

ABOUT THE JOB

Staff Robotics Engineers lead the delivery of vehicle perception and planning capability integrated in to our products, acting as technical leads, extremely senior individual contributors, and/or as team leads that are also hands-on contributors. This includes systems analysis, sensor selection and integration, perception architecture and implementation, motion planning, health management, behaviour analysis, simulation and test infrastructure, and interfaces with lower- and higher-level systems. We expect Staff Robotics Engineers to demonstrate unparalleled end-to-end outcome ownership, driving the rapid architecting, design, delivery, support, and evolution of safe and effective vehicle autonomy on Anduril’s autonomous platforms through their entire product life-cycle.

WHAT YOU'LL DO

• Own customer success through the design and delivery of a multi-year, multi-stakeholder software roadmap that spans across multiple teams
• Leverage internal product and program-specific engineering teams to rapidly deliver capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time
• Partner with external teams, collaborating on interfacing requirements between diverse systems and technologies
• Lead teams that architect, design and implement trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions and requirements in a multi-stakeholder environment
• Drive the development and implementation of sensor suites, perception algorithms, planning algorithms, and test fixtures to deliver safe navigation and effective operation of Anduril’s autonomous vehicles
• Perform high impact IC work in architecture and implementation across the whole perception and planning stack
• Utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles
• Conduct thorough testing and validation of perception and planning algorithms through development and use of simulation and analysis of data from real-world experiments, including evolving the data analysis tooling.
• Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing
• Travel to co-locate with end-users and/or other teams up to 20% of the time

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
• Experienced and proficient in C++ and/or Python software development
• Familiarity with autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras
• Demonstrated knowledge of at least one of: computer vision, sensor fusion, SLAM, motion planning, machine learning
• Experience in a senior perception or planning role for the delivery of a robotic system
• Capacity to act as the technical owner for a system, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution
• Ability to collaborate with stakeholders to define and implement robust validation and verification strategies for perception and planning modules
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with autonomous systems in the ground, air, maritime or space domains
• Experience with simulation tools and frameworks, such as Gazebo, Unity, or Unreal Engine, for algorithm validation and testing
• Knowledge of safety standards and certification processes for autonomous systems
• Familiarity with System Engineering concepts

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

ABOUT THE TEAM

Anduril’s Maritime Division has assembled a diverse team of experts in software, robotics, artificial intelligence, sensor fusion, and data analysis to create software and hardware solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous systems to tackle the extremely challenging industry demands of maritime operations. Anduril has brought to market a unique, ultra-long-range, full-ocean-depth underwater vessel platform and a completely refreshed maritime vehicle and flexible manufacturing architecture that scales from "small" to "extra-large" vehicle sizes. Today, Anduril is executing on billion-dollar contracts while simultaneously performing Robot-as-a-Service (RaaS) AUV operations.

We are seeking to sustain our early successes with deep investment in an expanded product portfolio. These products, including Dive-XL, Dive-LD, Copperhead, Seabed Sentry, and other unannounced systems, will deliver a coherent system-of-systems, enabling the end-to-end conduct of a variety of autonomous missions in the maritime domain. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril’s Maritime Division and help us build the future of defense capability.

ABOUT THE JOB

Senior Robotics Engineers independently drive delivery of vehicle perception and planning capability integrated in to our products. This includes systems analysis, sensor selection and integration, perception architecture and implementation, motion planning, health management, behavior analysis, simulation and test infrastructure, and interfaces with lower- and higher-level systems. We expect Senior Robotics Engineers to demonstrate end-to-end outcome ownership at the major subsystem or system level. Senior Software Engineers contribute as a technical lead to the rapid architecting, design, delivery, support, and evolution of next generation autonomous platforms through their entire product life-cycle.

WHAT YOU'LL DO

• Design and implement trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions and requirements in a multi-stakeholder environment
• Design and implement scalable sub-systems including sensor processing, perception, tracking, motion planning, health management, anomaly detection, simulation, testing fixtures, and vehicle interfaces
• Contribute to the design and development of existing software components across Anduril, with the aim of developing components that are re-usable across multiple Anduril product lines
• Utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles
• Conduct thorough testing and validation of perception and planning algorithms through development and use of simulation and analysis of data from real-world experiments, including evolving the data analysis tooling
• Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing
• Travel to co-locate with end-users and/or other teams up to 20% of the time

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
• Experienced and proficient in C++ and/or Python software development
• Familiarity with autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras
• Demonstrated knowledge of at least one of: computer vision, sensor fusion, SLAM, motion planning, machine learning
• Experience in a senior perception or planning role for the delivery of a robotic system
• Capacity to act as the technical owner for a system, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution
• Ability to collaborate with stakeholders to define and implement robust validation and verification strategies for perception and planning modules
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with autonomous systems in the ground, air, maritime or space domains
• Experience with simulation tools and frameworks, such as Gazebo, Unity, or Unreal Engine, for algorithm validation and testing
• Knowledge of safety standards and certification processes for autonomous systems
• Familiarity with System Engineering concepts

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

ABOUT THE TEAM

Anduril’s Maritime Division has assembled a diverse team of experts in software, robotics, artificial intelligence, sensor fusion, and data analysis to create software and hardware solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous systems to tackle the extremely challenging industry demands of maritime operations. Anduril has brought to market a unique, ultra-long-range, full-ocean-depth underwater vessel platform and a completely refreshed maritime vehicle and flexible manufacturing architecture that scales from "small" to "extra-large" vehicle sizes. Today, Anduril is executing on billion-dollar contracts while simultaneously performing Robot-as-a-Service (RaaS) AUV operations.

We are seeking to sustain our early successes with deep investment in an expanded product portfolio. These products, including Dive-XL, Dive-LD, Copperhead, Seabed Sentry, and other unannounced systems, will deliver a coherent system-of-systems, enabling the end-to-end conduct of a variety of autonomous missions in the maritime domain. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril’s Maritime Division and help us build the future of defense capability.

ABOUT THE JOB

Robotics Engineers contribute to delivery of vehicle perception and planning capability integrated in to our products. This includes systems analysis, sensor selection and integration, perception architecture and implementation, motion planning, health management, behavior analysis, simulation and test infrastructure, and interfaces with lower- and higher-level systems. We expect Robotics Engineers to demonstrate end-to-end ownership of their projects, contributing as a member of a team to the rapid architecting, design, delivery, support, and evolution of next generation autonomous platforms through their entire product life-cycle.

WHAT YOU'LL DO

• Implement trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions and requirements in a multi-stakeholder environment
• Implement scalable sub-systems including sensor processing, perception, tracking, motion planning, health management, anomaly detection, simulation, testing fixtures, and vehicle interfaces
• Contribute to the development of existing software components across Anduril, with the aim of developing components that are re-usable across multiple Anduril product lines
• Utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles
• Conduct thorough testing and validation of perception and planning algorithms through development and use of simulation and analysis of data from real-world experiments, including evolving the data analysis tooling
• Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing
• Travel to co-locate with end-users and/or other teams up to 20% of the time

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
• Experienced and proficient in C++ and/or Python software development
• Familiarity with autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras
• Demonstrated knowledge of at least one of: computer vision, sensor fusion, SLAM, motion planning, machine learning
• Experience in a senior perception or planning role for the delivery of a robotic system
• Capacity to act as the technical owner for a system, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution
• Ability to collaborate with stakeholders to define and implement robust validation and verification strategies for perception and planning modules
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with autonomous systems in the ground, air, maritime or space domains
• Experience with simulation tools and frameworks, such as Gazebo, Unity, or Unreal Engine, for algorithm validation and testing
• Knowledge of safety standards and certification processes for autonomous systems
• Familiarity with System Engineering concepts

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

Team Overview

The Platform Security Engineering (PSE) team builds security into Anduril's products from architecture through production. We work directly with business lines to design and implement security solutions tailored to their systems — then promote proven patterns into shared, composable platform services that the entire organization can use. Our mission is threefold: build security solutions for business lines, promote those solutions into the platform, and enable teams to build and operate securely on their own. The scope includes cryptographic protocol design, hardware root-of-trust architectures, secure communication for autonomous and robotic systems, operating system hardening, and distributed security infrastructure across embedded, edge, and cloud environments.

Job Description

We're looking for a principal-level engineer to serve as a technical leader for platform security across Anduril. This role combines deep expertise in cryptography, systems security, and secure architecture with the ability to drive security strategy across business lines and the platform. You'll own the design of Anduril's most critical security systems — cryptographic infrastructure for autonomous platforms, hardware root-of-trust architectures for robotic systems, secure communication protocols for contested environments — and you'll set the technical direction that shapes how security is built into every product. This is a role for someone who has designed and shipped security systems at the intersection of hardware, firmware, and software, and can lead others through complex technical decisions with lasting consequences.

Key Responsibilities

• Own the technical vision and architecture for platform security across Anduril's product ecosystem
• Design cryptographic systems, protocols, and key management architectures for autonomous and robotic platforms operating in contested and disconnected environments
• Lead the design of hardware root-of-trust architectures integrating TPMs, TEEs, HSMs, and secure boot across diverse embedded platforms
• Drive the strategy for promoting business-line security implementations into shared, composable platform services
• Serve as the senior technical authority for security architecture reviews across the organization, providing definitive guidance on cryptographic design, protocol security, and system hardening
• Define security patterns, reference architectures, and engineering standards that enable teams across Anduril to build securely and independently
• Mentor and develop senior engineers on the team, raising the bar for security engineering across the organization
• Represent Anduril's security engineering capabilities to customers, partners, and auditors when deep technical credibility is required
• Evaluate emerging threats, cryptographic standards, and security technologies, driving adoption where they strengthen the platform

Required Qualifications

• 12+ years of experience in software engineering, with significant depth in systems security and cryptography
• Expert-level knowledge of cryptographic protocol design, including key management architectures, certificate systems, and cryptographic agility
• Deep experience with hardware security: TPM, TEE, HSM, secure boot, and hardware root-of-trust design across multiple platform types
• Proficient in two or more of: C++, Rust, Go
• Experience designing security architectures for embedded, real-time, or robotic systems with constrained environments
• Track record of leading cross-organizational technical initiatives and driving architectural decisions that span multiple teams
• Strong ability to communicate complex security concepts to engineering leadership, product teams, and external stakeholders
• Experience performing and leading threat modeling, security architecture reviews, and cryptographic design reviews
• Eligible to obtain and maintain active U.S. Secret security clearance

Preferred Qualifications

• Experience with post-quantum cryptography, distributed key generation (DKG), or threshold cryptographic schemes
• Background in defense, aerospace, or autonomous systems with exposure to FIPS 140, Common Criteria, or NSA CSfC requirements
• Experience designing secure communication protocols for autonomous platforms or mesh networks
• Deep knowledge of Linux kernel security, mandatory access controls (SELinux/AppArmor), and OS hardening at scale
• Experience building and evolving platform security services consumed by dozens of teams
• Familiarity with compliance frameworks (STIGs, NIST 800-53, CMMC) and translating them into engineering controls that don't compromise developer velocity
• Publications, patents, or recognized contributions in cryptography or systems security
• Experience with Nix build systems and reproducible build pipelines for security-critical software

ABOUT THE TEAM:

ArsenalOS is the digital backbone of Anduril’s hardware enterprise. It connects the full lifecycle, from concept to build to field feedback, into one operating environment built for speed, traceability, autonomy, and continuous improvement. That environment includes not just the software used to design, plan, and execute work, but also the factory-facing infrastructure that connects operators, machines, test systems, and OT networks into the same adaptive Build Chain. It is not a support function, but rather a strategic investment by Anduril that the operating system of the hardware lifecycle is how we win. It will be one of the mechanisms by which Anduril out-builds, out-adapts, and out-scales the traditional defense industrial base.

ABOUT THE JOB:

We are looking for a Staff Software Engineer to join our QualityOS team within Forge MES (Manufacturing Execution System). As a Staff Engineer, you will set the technical direction and architectural standards. You'll architect and implement mission-critical distributed systems that scale Anduril's manufacturing operations while maintaining the technical bar for reliability, performance, and maintainability.

Your impact will span beyond the immediate team. You'll serve as a technical bridge between the QualityOS product team and our Platform/Foundations organization, ensuring we build on solid infrastructure while influencing platform capabilities to meet manufacturing needs. You'll represent the quality domain in broader MES architectural decisions, contributing to technical strategy that affects multiple product teams.

We're looking for someone who combines deep technical expertise with strong collaborative instincts—someone who can dive into complex distributed systems, establish patterns that others follow, and drive consensus across engineering teams. You'll balance hands-on technical execution on critical features with raising the technical standards of the team through architecture reviews, code quality, and operational excellence. Your decisions will have lasting impact on how Anduril scales manufacturing quality systems into a next-generation defense company.

WHAT YOU'LL DO

Technical Architecture & Execution:

• Define and drive technical architecture for QualityOS - make decisions on system design, scalability patterns, integration strategies, and platform vs. build tradeoffs that shape team execution
• Architect and implement complex distributed systems - build mission-critical services, APIs, and tooling that enable safe, fast delivery across manufacturing quality workflows
• Lead by example with engineering excellence - establish patterns through hands-on work: comprehensive testing, deployment safety (blue/green/canary), infrastructure as code, observability, and operational rigor

Cross-Team Influence & Collaboration:

• Bridge product and platform teams - collaborate with Platform/Foundations to shape shared infrastructure based on QualityOS needs while driving adoption of platform capabilities
• Partner across MES product teams - integrate QualityOS into cohesive manufacturing experiences, evolve data models across quality/production domains, and drive technical consensus on cross-cutting concerns
• Represent quality domain technically - work with architecture, security, operations, and infrastructure teams to ensure quality requirements influence broader technical decisions

Team & Technical Standards:

• Raise the technical bar for the team - through rigorous code review, architecture discussions, establishing shared ownership models, and improving practices that balance velocity with correctness
• Remove friction and unblock execution - identify systemic technical issues, eliminate single points of failure, and create leverage through automation and improved tooling

REQUIRED QUALIFICATIONS

• 12+ years of experience in a software engineering role building products in fast-paced environments
• Proven ability to influence technical direction across teams - drive architectural consensus, build alignment, and lead technical initiatives beyond a single team
• Experience working with large enterprise applications and platforms with high availability requirements
• Strong full-stack capabilities with expertise in modern web technologies - JavaScript/TypeScript, React, and web frameworks (Next.js, Remix, etc.)
• User-focused engineering mindset - ability to translate user needs into technical solutions while balancing user experience with engineering constraints
• Excellent communication skills, able to influence stakeholders, translate ambiguous requirements and build cross-team alignment.
• U.S. Person status is required as this position needs to access export controlled data

PREFERRED QUALIFICATIONS

• We encourage people from all backgrounds to apply but our tech stack uses AWS, Typescript, and React/Remix so familiarity with all of these tools will be particularly helpful
• Experience in hyper growth startup-like environments. Demonstrated successes in scaling and maturing software development processes, team culture and methods, and ability to balance short-term and long-term trade offs
• Manufacturing/quality domain knowledge - experience with quality management systems (QMS), manufacturing execution systems (MES), or incident management platforms
• Experience in defense, autonomy, robotics, or mission-critical systems (helpful but not required)
• Experience with AI/LLM integration - leveraging state-of-the-art models and agentic tooling in production software development
• Eligible to obtain and maintain a U.S. TS/SCI clearance

About Klaviyo

Klaviyo empowers creators to own their destiny by making first-party data accessible and actionable like never before. We see innovators building incredible businesses every day using Klaviyo's platform, and we're here to make sure they have everything they need to succeed. We're a company that puts customers first, leads with curiosity, and builds with velocity.

We're looking for people who are excited about solving hard problems, who thrive in a fast-paced environment, and who want to make a meaningful impact on how businesses grow.

About the Role

We're looking for a Director of Security Risk and Trust who breaks the mold of traditional compliance leadership. This isn't a role where you'll spend your days pushing spreadsheets and chasing attestation deadlines—this is a role where you'll engineer solutions to governance and compliance challenges at scale, build systems that make security and trust a competitive advantage, and lead a team that operates at the intersection of security engineering, risk management, and regulatory compliance.

You'll own the strategy and execution of Klaviyo's Risk and Trust program, partnering deeply with Engineering, Product, Legal, IT, and business teams to embed compliance and risk management into how we build and operate—not bolt it on after the fact. You'll bring a strong technical foundation and an engineering mindset to everything you do, from designing automated compliance pipelines to developing governance frameworks for AI/ML systems. You'll need to be as comfortable reading Terraform configs and reviewing architecture diagrams as you are presenting risk posture to executive leadership.

This role reports to the CISO and is a critical member of the Security leadership team.

How You'll Make a Difference

Build and Own the Risk and Trust Strategy

• Define and execute a forward-looking strategy that scales with Klaviyo's growth, product evolution, and expansion into new markets and regulated industries
• Develop a risk management program that quantifies and communicates risk in terms the business can act on—not just heat maps, but data-driven models that inform real decisions
• Own the compliance roadmap across frameworks including ISO 27001, ISO 42001, ISO 27017, ISO 27018, SOC 2 Type II, HIPAA, GDPR, CCPA/CPRA, and emerging AI governance regulations, identifying where frameworks overlap and engineering unified control sets rather than duplicating effort
• Translate regulatory and compliance requirements into clear, actionable engineering requirements that development teams can implement without ambiguity

Engineer Solutions, Don't Just Document Them

• Build and maintain compliance-as-code infrastructure—automated evidence collection, continuous control monitoring, and policy-as-code implementations that reduce manual toil and increase assurance
• Design and implement tooling and integrations (leveraging APIs, scripting, and orchestration platforms) that connect GRC workflows with engineering systems (CI/CD pipelines, cloud infrastructure, identity platforms, etc.)
• Partner with Engineering and Platform teams to embed security and compliance controls directly into the software development lifecycle, infrastructure provisioning, and deployment pipelines without introducing toil or friction
• Evaluate, select, and optimize platforms and technologies, building automation that turns compliance from a periodic exercise into a continuous, real-time capability

Lead AI Security Governance

• Develop and implement a comprehensive AI/ML governance framework aligned with ISO 42001, the EU AI Act, NIST AI RMF, and emerging global AI regulations
• Partner with ML/AI and Data Science teams to establish security and compliance guardrails for model development, training data governance, model monitoring, and responsible AI deployment
• Conduct and oversee risk assessments specific to AI/ML systems, including risks related to data poisoning, model integrity, bias, prompt injection, and supply chain threats in the AI ecosystem
• Stay ahead of the rapidly evolving AI regulatory landscape and proactively position Klaviyo's governance posture to meet or exceed emerging requirements

Drive Cross-Functional Impact

• Partner with Product and Engineering leadership to ensure security and compliance are built into product design from day one—acting as a trusted technical advisor, not a blocker
• Collaborate with Legal and Privacy teams to operationalize regulatory requirements and ensure alignment between legal interpretation and technical implementation
• Work with Sales, Customer Success, and Trust teams to support customer-facing security and compliance needs, including customer audits, security questionnaires, and trust documentation
• Engage with executive leadership and the Board to communicate risk posture, compliance status, and strategic GRC investments in clear, business-relevant terms

Get Your Hands Dirty

• Roll up your sleeves and do the work—conduct technical risk assessments, review architecture designs, write automation scripts, troubleshoot control gaps, and dive into the details when it matters
• Personally lead critical compliance initiatives, audit responses, and incident-driven governance activities when the stakes are high
• Maintain deep technical currency by staying hands-on with cloud platforms (AWS, GCP, Azure), infrastructure-as-code tools, security tooling, and modern software development practices

What We're Looking For

Must-Haves

• 10+ years of experience in security, governance, risk, and compliance, with at least 5 years in a leadership role building and scaling programs at high-growth technology or SaaS companies
• Strong engineering and technical foundation—you've written code (Python, Go, or similar), built automation, worked in cloud-native environments, and can engage deeply with engineering teams on technical design and implementation
• Deep expertise across multiple compliance frameworks including ISO 27001, ISO 42001, ISO 27017, ISO 27018, SOC 2, HIPAA, GDPR, and SOX IT controls, with a demonstrated ability to rationalize and unify controls across overlapping frameworks
• Demonstrated experience in AI/ML security and governance, including familiarity with AI-specific risk frameworks, responsible AI principles, and the unique security challenges of machine learning systems
• Hands-on experience with cloud infrastructure and security (AWS strongly preferred), including understanding of IAM, networking, encryption, logging/monitoring, and infrastructure-as-code (Terraform, CloudFormation, etc.)
• Proven ability to build compliance-as-code and automated GRC capabilities, including evidence collection automation, continuous monitoring, and integration with engineering toolchains
• Exceptional cross-functional leadership skills—you've successfully partnered with Engineering, Product, Legal, and executive stakeholders to drive security and compliance outcomes without relying on authority alone
• Experience managing external audits and regulatory examinations end-to-end, with a track record of clean results and efficient audit processes

Strong communication skills with the ability to translate complex technical and regulatory concepts for diverse audiences—from engineers to board members

Role Overview

The Global Delivery Leader will own the strategy, architecture, and global execution of InterSystems’ cloud-native Service Delivery Platform. This platform—built on Kubernetes and Spectro Cloud—underpins all SaaS and Managed Services delivery for InterSystems IRIS and the broader portfolio across private datacenters and public cloud providers. 

This role is accountable for leading globally distributed engineering and operations teams that design, build, and run a highly available, secure, and scalable platform spanning InterSystems datacenters, AWS, Azure, and GCP. The Director will be responsible not only for operational excellence, but also for the cloud architecture, automation frameworks and software-driven operational model required to deliver IRIS as a truly global, cloud-native managed service. 

Key Responsibilities 

Platform Ownership & Cloud Architecture 

• Own the end-to-end architecture and global operation of the InterSystems Service Delivery Platform, spanning Spectro Cloud, Kubernetes, Cilium, Helm, and multi-cloud infrastructure services. 
• Define and evolve a cloud-first reference architecture supporting consistent, secure, and resilient service delivery across InterSystems datacenters and public cloud regions. 
• Act as the senior technical authority for Kubernetes platform strategy, multi-cloud design, and runtime operational patterns. 

Engineering-Led Operations & Automation 

• Drive a platform engineering and SRE operating model, where infrastructure and operations are delivered through software, automation, and repeatable pipelines. 
• Establish Infrastructure as Code (IaC) standards and practices using Terraform, Helm, and GitOps-based workflows to ensure deterministic, auditable platform deployments. 
• Partner with Product Engineering and Cloud Engineering to define CI/CD pipelines, deployment automation, and lifecycle management for IRIS and supporting services. 
• Ensure platform changes are engineered, tested, versioned, and rolled out with the same rigor as application software. 

Reliability, Scale & Observability 

• Define and enforce service-level objectives (SLOs), error budgets, and operational KPIs across regions and clouds. 
• Lead the evolution of observability and telemetry using Coralogix and complementary tooling to enable full-stack visibility, proactive detection, and automated remediation. 
• Establish mature incident response, problem management, and continuous improvement processes aligned with SRE best practices. 

Security, Compliance & Risk 

• Partner with Global Security, Compliance, and Risk teams to ensure platform architecture and operations meet regulatory, data protection, and access control requirements. 
• Ensure security is embedded by design across Kubernetes, cloud infrastructure, CI/CD pipelines, and operational tooling. 

Financial Stewardship & Growth Enablement 

• Own capacity planning, scaling strategies, and cross-cloud cost management, balancing reliability, performance, and financial efficiency. 
• Enable rapid global growth of Managed Services and SaaS offerings through standardized, scalable platform capabilities. 

Leadership & Organizational Development 

• Lead and grow a globally distributed organization of platform engineers, SREs, and operations leaders. 
• Build a culture of accountability, technical excellence, and continuous learning. 
• Serve as a senior leader within Managed Services, influencing cross-functional strategy and representing platform operations at the executive level. 

Qualifications & Experience Required

• 15+ years of experience in cloud infrastructure, platform engineering, SRE, or large-scale distributed systems, including senior leadership roles with global scope. 
• Proven success designing and operating Kubernetes-based platforms at enterprise or SaaS scale, supporting mission-critical customer workloads. 
• Deep hands-on experience with AWS, Azure, and/or GCP, including networking, compute, storage, identity, and security architectures. 
• Strong background in Infrastructure as Code and automation, with practical experience using Terraform, Helm, GitOps, and CI/CD platforms. 
• Demonstrated ability to lead organizations that build software to operate infrastructure (platform engineering mindset). 
• Experience with observability ecosystems such as Coralogix, Datadog, Prometheus, Grafana, or equivalent. 
• Strong understanding of high availability, disaster recovery, multi-region design, and data platform operations. 
• Track record of leading large, globally distributed teams and driving operational transformation. 
• Exceptional communication and executive presence, with the ability to influence across engineering, product, security, and leadership teams. 
• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience. 

Who We Are

PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials.  Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes.

Where You Fit 

Our Intern/Co-op program is designed to give you a real-world view of what it's like to be a Machine Learning Engineer at PathAI. You will be embedded directly into our AI product and ML Core teams, working on active projects that have a direct impact on our technical roadmap and business goals.

You will collaborate with a cross-functional team of scientists, engineers, and product managers to translate clinical needs into scalable ML solutions. This is your chance to contribute to meaningful work that directly relates to patient outcomes.

Timeline: This opportunity is for Fall 2026. We are looking for interns/co-ops who can commit to 3-6 months at PathAI (4-6 months preferred).

Location: We have offices in Boston, MA and New York, NY and would prefer interns/co-ops who can work from one of those locations—however, we will also consider remote candidates (US based only).

What You’ll Do

• Contribute to the design, development, and evaluation of machine learning models for our AI products, AI services and core ML models.
• Work on subprojects derived from our ongoing ML product roadmap, focusing on areas like model improvements with novel techniques.
• Partner with our MLOps and platform teams to help build and improve our ML pipelines.
• Participate in experimental design, analysis, and team knowledge-sharing initiatives like design reviews, technical forums and journal clubs.

What You Bring 

• Currently pursuing a M.S., or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering with a focus on Computer Vision and Machine Learning.
• Strong programming skills in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow).
• A solid grasp of the fundamentals of machine learning and/or computer vision.
• Excellent communication skills and a desire to work in a highly collaborative, cross-functional environment.
• A passion for our mission to improve patient outcomes.
• [Nice-to-have] Any high impact contributions through any AI/ML publications, open-source projects and any AI based products.

We are looking for team players who are passionate about what they do and are willing to tackle any task to contribute to our goals. You could be exactly who we are looking for!

We Want To Hear From You

At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for. 
PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  

About the role

Starburst is looking for an experienced Staff Software Engineer to sit at the intersection of software engineering and data engineering — building the internal platforms, pipelines, and data products that power how we understand our customers and our business. You'll work across Starburst Enterprise and Starburst Galaxy, using our own technology to solve real problems at scale, while also contributing software that other teams depend on.

Because data engineers are one of our primary target personas, you'll bring a uniquely valuable perspective: you'll use our products daily and feed that experience directly back into how we build and improve them. You'll work closely with a dynamic, talented, globally distributed team, writing production-quality software alongside building reliable data systems — with a consistent emphasis on quality, maintainability, and speed to insight.

As a Staff Software Engineer at Starburst you will:

• Design, build, and operate a high-quality data lake and the software systems that feed it, supporting product management, finance, customer support, and engineering
• Write production-grade software — services, APIs, tooling, and automation — that enables data workflows and integrations at scale
• Find innovative ways to use Trino and Starburst to solve complex data management and software architecture challenges
• Collaborate with technical leads, product managers, and data analysts to build robust data products and analytics
• Leverage AI to democratize access to datasets for users throughout Starburst, including building and maintaining the software infrastructure that makes this possible
• Enable dataset preparation and model evaluation for Starburst's AI projects
• Define and evolve engineering processes and best practices that span both software and data domains, with a focus on reliability and actionable results
• Work closely with leaders across teams to iterate on data architecture and the software systems that implement it, keeping quality high at every layer
• Identify emerging patterns in data management and software engineering, and work with Starburst's product teams to bring those innovations to market

Some of the things we look for

• A Trino enthusiast looking to push the bounds in an AI future
• At least 7 years of combined experience in software engineering and/or data engineering, with genuine depth in both
• Strong software engineering fundamentals: writing clean, testable, well-reviewed code in Java, Python, or Scala
• Experience building and optimizing data pipelines using Trino, Spark, dbt, and related frameworks
• Experience designing and building backend services, APIs, and data platform components
• Experience managing data and application infrastructure in public clouds, particularly AWS (EMR, EC2, S3, IAM); multi-cloud experience (GCP/Azure) is a plus
• Experience using and managing orchestration frameworks such as Apache Airflow or Dagster
• Knowledge of RAG and other design patterns for AI-powered applications
• Fluency in SQL and comfort moving between SQL and general-purpose programming as the task demands
• Experience building API integrations for extracting data from third-party sources
• Knowledge of data modeling techniques appropriate for modern data lakes
• Proficiency with Configuration-as-Code and Infrastructure-as-Code tools such as Pulumi, Terraform, and/or Ansible
• A track record of shipping reliable software and data systems on time, with disciplined practices around testing, code quality, and review
• Strong written and verbal communication skills, with the organizational ability to coordinate across teams

Where could this role be based?

• San Francisco, US

Position Overview:

We’re looking for a Senior Data Implementation Engineer to help lead and accelerate Acadian’s data transformation efforts. This role is central to reimagining and rebuilding our data platform so that we can continue to scale our investment research, production data workflows, and operational capabilities in a rapidly evolving landscape.

You’ll be hands-on in designing and implementing modern data pipelines and platform capabilities using tools such as Apache Arrow, Polars, Dagster, and other emerging technologies. You’ll also help shape how we use AI-assisted development tools, such as Claude & ChatGPT, and related automation approaches, to improve the speed, quality, and maintainability of data pipeline development.

This is a senior engineering role for someone who can operate across both strategy and execution: deeply understanding existing systems, designing pragmatic transition paths, mentoring others, and building reliable, scalable, high-performance data infrastructure that directly supports Acadian’s quantitative investment process.

Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.

What You’ll Do

• Lead Data Pipeline Design and Implementation
  • Design, build, and optimize robust data pipelines that are reliable, scalable, observable, and performant. Use modern data engineering tools and patterns to support investment research, production workflows, and downstream analytics.
• Drive System Modernization
  • Deeply understand existing data systems, identify architectural limitations, and lead the transition toward more modern, maintainable, and efficient data architectures.
• Shape Technical Direction
  • Partner with Data Platform Engineering, Data Analysis, and investment teams to define implementation patterns, pipeline standards, and architectural approaches that can scale across the organization.
• Apply AI Tooling to Engineering Workflows
  • Use AI-assisted development tools such as Claude, ChatGPT, or similar technologies to accelerate pipeline development, automate repetitive workflows, improve documentation, generate tests, and enhance developer productivity.
• Mentor and Lead Others
  • Provide technical guidance to junior and mid-level engineers. Help raise the engineering bar through code reviews, design discussions, pairing, documentation, and thoughtful mentorship. Lead small project teams or workstreams when needed.
• Improve Reliability and Operational Excellence
  • Develop systems with strong testing, monitoring, lineage, data quality checks, and operational supportability. Help ensure that data pipelines are resilient, transparent, and easy to maintain.
• Collaborate Across Teams
  • Work closely with stakeholders across technology, data, research, and investment teams to understand requirements, resolve ambiguity, and deliver solutions that create measurable business value.
• Continuously Improve the Platform
  • Identify opportunities to simplify, automate, and improve the data ecosystem. Champion practical innovation while balancing speed, stability, maintainability, and long-term architectural quality.

We’re Looking for Teammates With

• Bachelor’s degree in a relevant field

• A strong background in data engineering, data platform implementation, or data-intensive software engineering, ideally with 5+ years of experience in a financial, investment, or technology-driven environment.
• Deep experience building production-grade data pipelines, including ingestion, transformation, validation, orchestration, monitoring, and deployment.
• Strong Python programming skills, with relevant experience working with Dagster, Airflow or similar technologies.
• Experience with modern data architecture patterns such as data lakehouse, Medallion architecture, composable data systems, microservices, and event-driven or workflow-oriented architectures.
• Familiarity with Data Mesh concepts, including decentralized data ownership, domain-oriented data products, governance, and discoverability.
• Experience with orchestration, workflow, and data transformation tools such as dbt, Polars, Pandas, Apache Arrow, or comparable technologies.
• Practical experience using AI-assisted development tools such as Claude, ChatGPT, GitHub Copilot, or similar platforms to support data pipeline development, automation, testing, documentation, and engineering productivity.
• Demonstrated ability to mentor engineers, lead technical workstreams, and influence engineering practices across a team.
• A strong sense of ownership and the ability to operate effectively in ambiguous environments, balancing tactical delivery with long-term architectural thinking.
• A passion for building systems that are efficient, scalable, reliable, observable, and easy for others to use.
• An understanding of how data infrastructure supports the broader investment process, and a desire to deliver solutions that improve outcomes for clients and create meaningful business impact.

The base salary range for this role is $175,000 – $200,000 per year. Actual compensation will be determined based on a candidate’s skills, qualifications, and relevant experience. In addition to base pay, this position may be eligible for discretionary incentive compensation and includes participation in Acadian’s comprehensive benefits program, which includes health, retirement, and wellness offerings.

Mission Summary:

Motional’s onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional’s current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.

What You'll Be Doing:

• Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
• Design test harnesses for embedded software components and full systems
• Provide technical mentorship to engineers.
• Proactively work with cross-functional engineering teams to solve complex and interesting problems.
  
  

What We're Looking For:

• Experience with creating detailed requirements from use cases.
• Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
• Experience writing software for embedded platforms in C and C++.
• Experience with Test-Driven Development (TDD).
• Experience working on embedded Linux / RTOSs.
• Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
• Experience with debugging on embedded platforms.
• Experience writing software in Python and experience doing automation with shell scripting.
• Experience working with ARM Cortex MCUs or Microprocessors.
  
  

Bonus Points (not required):

• Experience working with large data pipelines, and platforms that require deterministic execution.
• Experience using inter-system communication protocols such as I2C and SPI
• Experience deploying Machine Learning models.
• Experience working with GPUs.
• Experience working directly with the Linux kernel or Device Drivers.
• Experience with Simulation and Code Generation, and knowing when their use is appropriate.
• Experience working with Bazel.
• Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
• Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. 
  
  

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:

Motional’s onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional’s current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.

What You'll Be Doing:

• Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
• Design test harnesses for embedded software components and full systems
• Provide technical mentorship to engineers.
• Proactively work with cross-functional engineering teams to solve complex and interesting problems.
  
  

What We're Looking For:

• Experience with creating detailed requirements from use cases.
• Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
• Experience writing software for embedded platforms in C and C++.
• Experience with Test-Driven Development (TDD).
• Experience working on embedded Linux / RTOSs.
• Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
• Experience with debugging on embedded platforms.
• Experience writing software in Python and experience doing automation with shell scripting.
• Experience working with ARM Cortex MCUs or Microprocessors.
  
  

Bonus Points (not required):

• Experience working with large data pipelines, and platforms that require deterministic execution.
• Experience using inter-system communication protocols such as I2C and SPI
• Experience deploying Machine Learning models.
• Experience working with GPUs.
• Experience working directly with the Linux kernel or Device Drivers.
• Experience with Simulation and Code Generation, and knowing when their use is appropriate.
• Experience working with Bazel.
• Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
• Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. 
  
  

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:

Motional’s onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional’s current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.

What You'll Be Doing:

• Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
• Design test harnesses for embedded software components and full systems
• Provide technical mentorship to engineers.
• Proactively work with cross-functional engineering teams to solve complex and interesting problems.
  
  

What We're Looking For:

• Experience with creating detailed requirements from use cases.
• Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
• Experience writing software for embedded platforms in C and C++.
• Experience with Test-Driven Development (TDD).
• Experience working on embedded Linux / RTOSs.
• Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
• Experience with debugging on embedded platforms.
• Experience writing software in Python and experience doing automation with shell scripting.
• Experience working with ARM Cortex MCUs or Microprocessors.
  
  

Bonus Points (not required):

• Experience working with large data pipelines, and platforms that require deterministic execution.
• Experience using inter-system communication protocols such as I2C and SPI
• Experience deploying Machine Learning models.
• Experience working with GPUs.
• Experience working directly with the Linux kernel or Device Drivers.
• Experience with Simulation and Code Generation, and knowing when their use is appropriate.
• Experience working with Bazel.
• Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
• Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. 
  
  

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.

SWE II, Core Reporting (Boston, MA) 

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.

Klaviyo operates a real-time data analytics platform coded primarily in Python that is built for massive scale. Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.

The Core Reporting Team is responsible for powering Klaviyo’s analytics foundation.  We deliver scalable, consistent, and trustworthy reporting infrastructure that enables every team at Klaviyo to ship analytics faster - and every customer to understand, trust, and act on their data. The team builds curated and customizable reporting experiences that serve all of Klaviyo’s customers. The team collaborates closely with Product, Design, and cross-functional partners across Klaviyo to ensure that insights are not just observed but operationalized, connecting analytics directly to action. 

As an Engineer on the Core Reporting Team, you can expect to be deeply involved in the technical strategy behind how we access, aggregate, and present data at scale across the Klaviyo platform. You'll own projects that contribute to driving adoption and retention of the analytics platform, building the reporting capabilities that are a key reason customers purchase and expand with Klaviyo. You'll work full stack, from the data access and storage layers that power enterprise-grade analytics, to the front-end experiences that make complex data intuitive and actionable. Your tech stack will include Python, TypeScript, React, AWS, and Django.

How You Will Make a Difference

• Deliver reporting capabilities that drive adoption and directly contribute to growth
• Build experiences that close the loop from insight to action, enabling customers to create segments, campaigns, and flows directly from reporting surfaces.
• Develop product-led experiences that make the value of Analytics visible and compelling.
• Work cross-functionally with Product, Design, Data Science, and partner engineering teams to shape the roadmap and technical direction of analytics at Klaviyo
• Have ample opportunities for growth as the team expands its scope across enterprise portfolio analytics, AI-assisted exploration, and agentic integrations

Who You Are

• 2+ years of experience working in a in a full stack capacity
• Proficient in at least one modern programming language (Python or TypeScript/React are a plus)
• Degree or equivalent experience in a software engineering discipline
• Able to communicate well and collaborate effectively across disciplines
• Able to work with others on a team and partner closely with product, design, and data stakeholders
• Able to learn continuously and adapt to a high-growth environment
• Able to stick with and solve difficult problems, particularly around data at scale
• Excited to work at the intersection of data visualization, analytics, and AI. Building experiences that help customers understand and act on their data
• Interested in up-market product challenges, including enterprise-grade reliability, and customization.

Technologies We Use (non-exhaustive)

• Front-end technologies like TypeScript, React, Styled Components, and CSS
• Backend primarily using Django, FastAPI, and Python
• Infrastructure on AWS and Kubernetes

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here