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:

Tenable is seeking a Senior Software Engineer to join our VM Platform team. Our team sits at the center of our Tenable One architecture; we ingest massive volumes of assets and find data from collection teams, process it to calculate the "state of the world" for our customers, and feed it to downstream search and reporting products.

We are not just building web apps; we are solving a complex Big Data problem. You will build and maintain the high-throughput, event-driven pipelines responsible for processing the history of assets and vulnerabilities. You will move beyond simple CRUD operations to design systems that handle massive scale, ensuring that when we say an asset is vulnerable (or patched), that data is accurate and available in real-time.

To be considered for this role, you must meet one of the following criteria:

• Hybrid: Ability to commute to our Columbia, MD/Northern VA office.
• Hybrid: Ability to commute to our Boston, MA office.
• Remote: Currently reside in the San Francisco Bay Area, CA

Your Opportunity:

• Build the Future of Exposure Management: We are currently developing the backend that powers Tenable’s flagship Exposure Management (EM) platform. You will be building the future that powers our EM platform.
• Solve Complex Data Problems: Work on "team-named data processing" challenges. You will design logic that collapses millions of incoming findings into a single, accurate state record.
• Architect for Scale: Transition our systems to a new architecture designed to be faster, cheaper, and more reliable. Your work will unblock integrations across the entire company.
• Own Your Stack (DevOps): We support our services in the wild. You won't just write code; you will use Terraform and Datadog to deploy, monitor, and ensure the health of your services in production.

What You’ll Need:

• 4+ years of Backend Engineering experience with a focus on high-volume data processing or distributed systems.
• Strong JVM Proficiency: Deep experience with Java, Kotlin,is required. You should understand memory management and performance within the JVM ecosystem.
• Stream Processing Architecture: Proven experience with Kafka (ideally), AWS Kinesis, et al. You understand topics, partitions, and how to process teams of data asynchronously
• 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,  Hybrid with the ability to commute to our Boston, MA office, or Remote: Currently reside in the San Francisco Bay Area, CA
• Distributed Systems Knowledge: You understand the challenges of microservices, eventual consistency, and data resiliency.
• Stateful Processing Logic: Experience calculating "state" from a history of events. You understand how to take a stream of raw data and "collapse" it into a current status.
• DevOps Mindset: Hands-on experience with Terraform for infrastructure-as-code and observability tools like Datadog to monitor metrics and graphs.
• Database Experience: Proficiency with SQL and NoSQL data stores (PostgreSQL, DynamoDB, or similar) to store and retrieve state data.

And Ideally:

• Experience with Event Sourcing or CQRS patterns.
• While security background is a plus, we value Big Data/Data Pipeline experience first. If you can process data at scale, we can teach you the security domain.

#LI-LP1

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:
Tenable is seeking a Full Stack Software Engineer to join our core product engineering teams. You will help design, develop, and maintain cloud-native, large-scale cybersecurity products that protect organizations worldwide. Our platforms operate in complex, ever-changing environments and demand innovation in scalability, reliability, and performance. As a Software Engineer, you will work across the stack , building microservices, APIs, and user interfaces , leveraging modern frameworks and cloud technologies. Your contributions will directly enable customers to secure their applications, infrastructure, and digital assets at scale.

Your Opportunity:

• Implement new features, fix bugs, and enhance the scalability and reliability of our systems.
• Develop expertise in distributed systems, cloud platforms, and modern UI frameworks while working on real-world security products.
• Work closely with Product Managers, UX designers, and fellow engineers to iteratively improve our products.
• Contribute ideas to improve Tenable’s architecture, development processes, and technology stack.
• Write clean, maintainable code, participate in code reviews, and help drive engineering best practices.

What You’ll Need:

• 2+ years of experience as a Full Stack Software Engineer in SaaS or cloud-based applications.
• Hands-on development experience with Java or Kotlin.
• Proficiency with at least one modern UI framework (React, Angular, or Vue.js).
• Solid understanding of RESTful API development and microservices architectures.
• Familiarity with AWS or other cloud platforms.
• Experience with databases (SQL or NoSQL such as PostgreSQL, DynamoDB, Elasticsearch).
• Exposure to CI/CD pipelines, containerization (Docker/Kubernetes), and Git-based workflows.
• Strong problem-solving skills with a focus on building reliable, performant, and secure applications.
• Good communication skills and a collaborative mindset.
• Passion for continuous learning and keeping up with emerging technologies.

And Ideally:

• Experience with event-driven systems (Kafka, SQS, SNS, etc).
• Familiarity with infrastructure-as-code and observability tools (Terraform, Prometheus, Datadog, ELK, Splunk, PagerDuty).
• Prior experience in cybersecurity, DevSecOps, or related domains.
• Exposure to multi-tenant SaaS or hybrid cloud architectures.

#LI-MS1

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

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.

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

As a Senior Product Manager for Serverless at Datadog, you will define and deliver products that help developers monitor and operate serverless applications at scale. You’ll own the strategy and execution for Datadog’s AWS Serverless observability offering, building experiences that provide visibility into distributed systems and simplify debugging and operations. This role sits at the intersection of cloud infrastructure, developer experience, and AI-powered workflows, and is ideal for a PM who thrives in highly technical product areas. You will work cross-functionally and with external partners to shape how customers build and run modern serverless applications.

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:

• Own and drive the roadmap for Datadog’s AWS Serverless observability products, including Lambda, Fargate, and Step Functions
• Define how developers monitor, debug, and operate serverless systems across distributed environments
• Partner with engineering and design to deliver end-to-end product capabilities from concept through launch and iteration
• Collaborate with AWS product teams to align roadmaps and deliver joint solutions for shared customers
• Engage with customers to understand serverless adoption patterns and validate product direction
• Define and track success metrics such as adoption, usage, and impact on developer workflows

Who You Are:

• 5+ years of product management experience building technical products in areas such as cloud infrastructure, developer platforms, or observability
• Strong understanding of distributed systems, cloud-native architectures, and modern application development practices
• Familiarity with serverless technologies, containers, Kubernetes, or microservices environments
• Comfortable working closely with engineers and discussing technical design, tradeoffs, and implementation details
• Experience engaging with customers and using their feedback to inform product decisions and prioritization
• Ability to operate in complex problem spaces and translate them into clear product direction and execution

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 skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture

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

#LI-Hybrid

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:
Tenable is seeking a Full Stack Senior Software Engineer to join our core product engineering teams. You will play a pivotal role in designing, developing, and maintaining cloud-native, large-scale cybersecurity products that protect organizations worldwide. Our platforms operate in complex, ever-changing environments and demand innovation in scalability, reliability, and performance.

As a Senior Software Engineer, you will build and optimize highly scalable microservices and user experiences, leveraging modern programming languages, frameworks, and cloud technologies. Your work will directly enable customers to secure their applications, infrastructure, and digital assets at scale.

Your Opportunity:

• Shape the Architecture: Contribute to the design and implementation of new features while influencing system architecture to meet performance and scalability goals.
• Innovate at Scale: Advance Tenable’s global cloud platforms and distributed systems to deliver high-availability, high-security solutions.
• Continuous Learning: Access training budgets, conferences, and certifications to stay ahead in security, cloud, and software engineering.
• Raise the Bar: Champion engineering excellence by introducing innovative practices, improving system performance, and mentoring teammates.
• Collaborate & Lead: Partner with Product Managers, UX designers, and fellow engineers. Mentor peers across teams, fostering a culture of innovation and technical rigor.

What You’ll Need:

• 4+ years of experience as a Full Stack Software Engineer in SaaS/cloud-based applications.
• 3+ years of hands-on development with Java or Kotlin.
• Proficiency with modern UI frameworks (e.g., React, Angular, Vue.js).
• Strong expertise in microservices architectures and RESTful API development.
• Experience with AWS or other public clouds, distributed systems, and scaling services.
• Database fluency with both SQL and NoSQL (e.g., PostgreSQL, DynamoDB, Elasticsearch).
• Experience with event-driven systems (Kafka, SQS, SNS, etc.).
• Familiarity with DevOps practices: CI/CD pipelines, containerization (Kubernetes, Docker), IaC (Terraform), and monitoring/observability (Prometheus, Datadog, ELK, Splunk, PagerDuty).
• Strong Git practices (branching, code reviews).
• Proven ability to own projects end-to-end, balancing trade-offs and delivering high-impact outcomes.
• Problem-solving mindset with focus on performance, scalability, and security.
• Experience working in Agile environments.
• Strong communication skills and proven ability to mentor junior engineers.
• Curiosity and passion for staying current with emerging tech and industry trends.

And Ideally:

• Prior experience in cybersecurity, DevSecOps, or security tooling.
• Background in on-premise and hybrid deployments.
• Experience with multi-tenant SaaS architectures.
• Familiarity with vulnerability management, application scanning, or related domains.

#LI-Hybrid

#LI-MS1

ABOUT THE JOB 

We're seeking a full stack Security Software Engineer to develop novel security tooling for securing our suite of products including and detecting potential cybersecurity issues across embedded Linux systems and Android devices. The ideal candidate can develop across the the full stack - from Linux eBPF programs to cloud backends and everything in between.

WHAT YOU’LL DO 

• Design and develop cybersecurity tools for embedded Linux and Android systems.
• Build and maintain backend services with REST APIs running on cloud platforms.
• Create user-friendly frontends using React and TypeScript.
• Manage cloud infrastructure using Terraform and/or AWS CDK.
• Collaborate with cross-functional teams to identify security needs and implement solutions.
• Conduct code reviews and ensure adherence to security best practices.
• Stay updated on the latest security threats and technologies.

REQUIRED QUALIFICATIONS

• 5+ years of software development experience in some combination of Golang, Rust, Kotlin, and TypeScript.
• Proficiency in implementing application backends, including authorization, observability, REST APIs, and NoSQL data persistence.
• Strong experience with frontend development using React and TypeScript.
• Familiarity with cloud infrastructure management (Terraform and/or AWS CDK).
• Experience in mobile development, specifically on Android platforms.
• Understanding of cybersecurity principles and practices.
• Ability to obtain and hold a U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Experience with embedded systems and Linux.
• Knowledge of security frameworks and compliance standards.
• Experience with Linux observability and eBPF.
• Experience with CI/CD and test automation, including for mobile devices.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

FEQ227R295

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales teams and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 4+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

ABOUT THE TEAM

Anduril Industries is redefining defense technology by delivering advanced, integrated systems to U.S. and allied forces. At the heart of our efforts is Lattice OS, a secure, distributed operating system enabling autonomous decision-making at machine speed across platforms, cloud systems, and tactical networks.

ABOUT THE JOB

We are seeking a Multinational Digital Infrastructure Senior Cloud Engineer to design, deploy, and manage complex AWS and Azure cloud environments for multinational defense operations. This hands-on role requires deep technical expertise in multi-cloud architecture, security, and edge-to-cloud integrations supporting sovereign and classified environments across U.S., Australian, and UK missions.

This role offers a chance to design and deploy cutting-edge cloud infrastructure for missions of global importance. As a Senior Cloud Engineer, Multinational Digital Infrastructure, you’ll work with groundbreaking technology, support multinational operations, and drive innovation in secure cloud systems that empower autonomy and mission success across allied nations.

WHAT YOU’LL DO

• Design and Deploy Cloud Systems: Build secure, scalable cloud architectures on AWS and Azure to support tactical mission platforms and sovereign defense environments.
• Integrate Multinational Clouds: Engineer solutions enabling seamless interoperability between sovereign cloud environments (e.g., IL5/IL6 networks, Australian IRAP-compliant builds) and tactical edge systems.
• Optimize Cloud Infrastructure: Develop automated workflows using Infrastructure-as-Code tools (e.g., Terraform, CloudFormation) to streamline deployments, scaling, and maintenance.
• Enable Secure Data Flow: Work across classified systems to establish secure edge-to-cloud pipelines for autonomy, mission data, and operational decision-making.
• Collaborate Globally: Support multinational exercises, partner integration events, and global deployments, ensuring systems function across U.S., UK, and Australian defense frameworks.
• Troubleshoot in Real-Time: Resolve complex cloud infrastructure challenges in operational environments, balancing security, uptime, and mission-critical needs.

REQUIRED QUALIFICATIONS

• 8+ years in cloud engineering, architecture, or systems engineering, with direct expertise in AWS and Azure environments.
• Technical Expertise:
• Proficiency in multicloud architecture, secure networking (VPCs, VPNs, hybrid connectivity).
• Hands-on experience with Infrastructure-as-Code tools like Terraform, CloudFormation, and Ansible.
• Advanced knowledge of cloud security principles, IAM, encryption, and compliance frameworks (e.g., IL5/IL6, IRAP).
• Working knowledge of container orchestration (e.g., Kubernetes, Docker).
• Clearance: Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance
• Education: Bachelor’s degree in computer science, engineering, or related technical field.
• Travel: Willingness to travel up to 30%, including international deployments.

PREFERRED QUALIFICATIONS

• Experience with sovereign cloud platforms in classified environments.
• Familiarity with Lattice OS or distributed systems used in autonomous operations.
• Hands-on knowledge of mesh networking, edge compute, or tactical data systems.
• Multinational collaboration experience, including AUKUS missions or other allied defense efforts.

About Formlabs:

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

We’re a team of hands-on builders, engineers, and innovators reinventing how the world makes physical things. If you’re ready to shape the future of fabrication, come build it with us.

Your Impact: 

As a Digital Systems Engineer at Formlabs, you will play a crucial role in designing, enhancing, and maintaining applications in our digital landscape: eCommerce, CRM, Marketing, and Sales/Service. You will build new features, facilitate new integrations with other business systems, and ensure the performance, stability, and scalability of our digital environment. You will collaborate closely with business stakeholders and peer Systems teams to deliver impactful solutions that support our growth and improve operational efficiency.

This is an exciting opportunity for a motivated digital engineer who can span across multiple platforms and technologies, thrives in a fast-paced, collaborative environment, and is passionate about driving business growth and excellence through technology.

This role is based in our Budapest, Hungary office or in our Somerville, Massachusetts, USA office and is a full-time position.

The Job:

• Architect, develop, configure, and customize the back-end Shopify B2B Commerce platform, including creating/enhancing Shopify Apps, Shopify Functions & Extensions, and Shopify APIs. (This is not a front-end Shopify role.)
• Design and develop complex B2B capabilities that go beyond Shopify B2B’s standard features, both inside and outside Shopify B2B, and with relevant integration capabilities throughout Formlabs digital landscape.
• Partner with the headless front-end teams and provide backend expertise, data, and API endpoints that serve blazing-fast, SEO-optimized user experiences.
• Partner with the Salesforce team to architect and develop key integrations, features, and functions to enable sales and service excellence, through both assisted and self-service capabilities.
• Collaborate and drive enterprise integrations between Shopify, Salesforce, ERP, DWH, and other internal/external systems using APIs and middleware.
• Develop and contribute to various other digital roadmap initiatives, such as marketing automation, AI-driven tools for sales and service, and vendor solutions.
• Utilize modern software development practices to deliver well-documented, clean, efficient code: version/branch control, QA practices, CI/CD, deployment keys, etc.
• Collaborate with stakeholders and technical partners to define and understand requirements and translate to scalable technical solutions.
• Contribute to the strategic direction of Formlabs’ digital landscape.

You:

• 5+ years of professional experience as a full-stack engineer building eCommerce or digital platforms for a B2B business
• Proven proficiency and experience in Shopify B2B, Shopify Apps, Shopify Functions & Extensions, and Shopify APIs from a back-end perspective in a headless context (this is not a front-end role)
• Experience and understanding of enterprise integration and the complexities of integrating Shopify, Salesforce, ERP, and DWH in a fast-moving business
• Experience with Salesforce ecosystem and understanding of Apex, Lightning, Flow, Validation rules, Automations, and APIs Skills
• Data savviness: ability to write SQL queries from scratch, and knowledge of data warehouse concepts and tools (i.e. BigQuery, etc.)
• Experience with software development and deployment tools: GitHub, Gearset, Kubernetes, etc.
• Excellent problem-solving, analytical, and communication skills
• Ability to work in a collaborative, fast-paced environment, and the ability to learn and implement new technologies quickly
• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Bonus Points:

• Shopify Verified Skills and Badges (Shopify B2B: Launch and Customization, Shopify B2B: Foundations, Discovery and Solution Design, etc.)
• Salesforce Developer certifications (e.g., Platform Developer I/II), Apex experience.
• Experience with iPaaS middleware or cloud-based integration functions (AWS Lambda/GCP Cloud Functions).
• Ability to effectively leverage AI coding tools
• Familiarity with various ERP, CRM, Marketing Automation, Data Analytics, and Business Intelligence systems and tools.

Our Benefits & Perks:

• Robust equity program to build future wealth through RSUs
• Comprehensive healthcare coverage (Medical, Dental, Vision)
• 401K matching and access to financial advisors
• Generous paid Parental Leave (up to 16 weeks)
• Tenure-based paid Sabbatical Leave (up to 6 weeks)
• Flexible Out of Office Plan – Take time when you need it
• Ample on-site parking & pre-tax commuter benefits
• Healthy on-site lunches, snacks, beverages, & treats
• Regular sponsored professional development opportunities
• Many opt-in culture events across our diverse community
• And of course… unlimited 3D prints

We are an equal opportunity employer and value diversity at our company.  We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

About Formlabs:

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

We’re a team of hands-on builders, engineers, and innovators reinventing how the world makes physical things. If you’re ready to shape the future of fabrication, come build it with us.

Your Impact: 

As a Senior Shopify Engineer at Formlabs, you will play a crucial role in designing, enhancing, and maintaining applications in our digital landscape: eCommerce, CRM, Marketing, and Sales/Service. You will build new features, facilitate new integrations with other business systems, and ensure the performance, stability, and scalability of our digital environment. You will collaborate closely with business stakeholders and peer Systems teams to deliver impactful solutions that support our growth and improve operational efficiency.

This is an exciting opportunity for a motivated digital engineer who can span across multiple platforms and technologies, thrives in a fast-paced, collaborative environment, and is passionate about driving business growth and excellence through technology.

This role is based in our Budapest, Hungary office or in our Somerville, Massachusetts, USA office and is a full-time position.

The Job:

• Architect, develop, configure, and customize the back-end Shopify B2B Commerce platform, including creating/enhancing Shopify Apps, Shopify Functions & Extensions, and Shopify APIs. (This is not a front-end Shopify role.)
• Design and develop complex B2B capabilities that go beyond Shopify B2B’s standard features, both inside and outside Shopify B2B, and with relevant integration capabilities throughout Formlabs digital landscape.
• Partner with the headless front-end teams and provide backend expertise, data, and API endpoints that serve blazing-fast, SEO-optimized user experiences.
• Partner with the Salesforce team to architect and develop key integrations, features, and functions to enable sales and service excellence, through both assisted and self-service capabilities.
• Collaborate and drive enterprise integrations between Shopify, Salesforce, ERP, DWH, and other internal/external systems using APIs and middleware.
• Develop and contribute to various other digital roadmap initiatives, such as marketing automation, AI-driven tools for sales and service, and vendor solutions.
• Utilize modern software development practices to deliver well-documented, clean, efficient code: version/branch control, QA practices, CI/CD, deployment keys, etc.
• Collaborate with stakeholders and technical partners to define and understand requirements and translate to scalable technical solutions.
• Contribute to the strategic direction of Formlabs’ digital landscape.

You:

• 5+ years of professional experience as a full-stack engineer building eCommerce or digital platforms for a B2B business
• Proven proficiency and experience in Shopify B2B, Shopify Apps, Shopify Functions & Extensions, and Shopify APIs from a back-end perspective in a headless context (this is not a front-end role)
• Experience and understanding of enterprise integration and the complexities of integrating Shopify, Salesforce, ERP, and DWH in a fast-moving business
• Experience with Salesforce ecosystem and understanding of Apex, Lightning, Flow, Validation rules, Automations, and APIs Skills
• Data savviness: ability to write SQL queries from scratch, and knowledge of data warehouse concepts and tools (i.e. BigQuery, etc.)
• Experience with software development and deployment tools: GitHub, Gearset, Kubernetes, etc.
• Excellent problem-solving, analytical, and communication skills
• Ability to work in a collaborative, fast-paced environment, and the ability to learn and implement new technologies quickly
• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Bonus Points:

• Shopify Verified Skills and Badges (Shopify B2B: Launch and Customization, Shopify B2B: Foundations, Discovery and Solution Design, etc.)
• Salesforce Developer certifications (e.g., Platform Developer I/II), Apex experience.
• Experience with iPaaS middleware or cloud-based integration functions (AWS Lambda/GCP Cloud Functions).
• Ability to effectively leverage AI coding tools
• Familiarity with various ERP, CRM, Marketing Automation, Data Analytics, and Business Intelligence systems and tools.

Our Benefits & Perks:

• Robust equity program to build future wealth through RSUs
• Comprehensive healthcare coverage (Medical, Dental, Vision)
• 401K matching and access to financial advisors
• Generous paid Parental Leave (up to 16 weeks)
• Tenure-based paid Sabbatical Leave (up to 6 weeks)
• Flexible Out of Office Plan – Take time when you need it
• Ample on-site parking & pre-tax commuter benefits
• Healthy on-site lunches, snacks, beverages, & treats
• Regular sponsored professional development opportunities
• Many opt-in culture events across our diverse community
• And of course… unlimited 3D prints

We are an equal opportunity employer and value diversity at our company.  We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

Role overview

CarGurus' Ads Intelligence group is looking for a highly experienced and accomplished Principal Software Engineer to set the technical direction for our platform that will deliver complex market insights through intuitive dealer-facing experiences.

In this high-impact role, you will be the primary technical owner, responsible for setting the multi-year architectural strategy for all market intelligence solutions. You will partner closely with leaders across Product, Data Science, and Product Data Analytics to transform complex competitive data into scalable, insightful, and strategic market intelligence products. If you are an architect focused on solving complex challenges at scale, balancing robust design with long-term stability, we’d love to hear from you!

What you'll do

• Work closely with engineers, product managers, and stakeholders across the company to gather complex product requirements and transform them into effective, robust, and production-ready solutions.
• Define, socialize, and lead the technical vision and architectural roadmap for the entire Ads platform, ensuring long-term performance, reliability, and security across the entire data lifecycle.
• Serve as a technical leader by establishing clear engineering practices, ensuring high standards for code quality, testability, observability, and operational excellence across the team and adjacent groups.
• Guide the technical direction in both our important Java backend services (e.g., microservices, APIs) and sophisticated modern web applications (React) that provide data visualization and intuitive user experiences.
• Mentor, coach, and support the growth of engineers, leading technical design reviews and promoting sound technical decision-making throughout the organization.
• Evaluate, advocate for, and incorporate advanced technologies, including AI/ML capabilities, to enhance the accuracy, breadth, and strategic value of our market intelligence data products.

What you'll bring

• Bachelor’s degree or higher in Computer Science or similar; or equivalent experience in computer science fundamentals including data structures, algorithms, design patterns, and complexity analysis.
• 8+ years of professional software development experience, including 3+ years of experience leading technical strategy or serving as a Principal/Staff Engineer working with Java (or similar languages), and frameworks such as Spring Boot.
• 5+ years of experience designing, building, deploying, scaling, testing, and evolving distributed systems and high-volume transaction applications using service-oriented architecture in 24/7 production environments. Strong proficiency in cloud infrastructure, AWS preferred, including familiarity with infrastructure-as-code concepts (e.g., Terraform).
• 2+ years of experience using cloud infrastructure technologies such as AWS, Terraform or similar cloud services. 
• 3+ years of hands-on experience working with both relational and NoSQL databases, applying the right data models to diverse needs.
• Outstanding written and verbal communication abilities, with a proven talent for articulating complex technical roadmaps and trade-offs to executive leaders, business stakeholders, and engineering teams, ensuring alignment on long-term strategy and execution.
• Experience with full-stack development, especially modern web applications like React, is a strong plus.

THE ROLE:

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

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

WHAT YOU’LL DO:

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

WHAT YOU BRING:

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

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#LI-REMOTE

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 work spans cryptographic protocols, operating system hardening, secure boot, hardware security integration, authentication systems, and distributed protocol security across embedded, edge, and cloud environments.

Job Description

We're looking for senior and staff-level software engineers to design and build security solutions across Anduril's product ecosystem. You'll partner directly with business line engineering teams to understand their systems, threat models, and security requirements — then design and implement solutions that range from custom, business-line-specific implementations to shared platform services. The problems you'll work on span the full stack — secure hardware, operating systems, container orchestration, distributed services, and cloud infrastructure — and you'll move between them as the mission demands. We value engineers who are strong generalists: comfortable learning new domains quickly and working across security boundaries rather than specializing in just one.

We're also open to hiring talented software engineers with less security-specific experience, provided they have a strong track record building production software at scale, learn fast, and are motivated to go deep on security.

Key Responsibilities

• Design and implement security features and services for business line products — including custom solutions when platform capabilities don't yet exist
• Identify patterns across business line implementations and promote them into shared, composable platform security services
• Build tooling, libraries, and reference implementations that enable engineering teams to adopt secure patterns independently
• Lead security architecture reviews and threat modeling for business line and platform systems
• Implement cryptographic protocols, key management systems, and certificate infrastructure
• Work across the technology stack: secure hardware (TPM, TEE), operating systems, container orchestration, and application-layer security
• Provide hands-on engineering support to business line teams adopting platform security services
• Collaborate with the Security Applications & Tools team on cross-cutting security infrastructure

Required Qualifications

• 6+ years of experience designing and developing production software in large-scale environments (8+ for Staff level)
• Proficient in at least one of: C++, Rust, or Go
• Strong software engineering fundamentals: you can design, build, and operate complex systems and pick up new domains quickly
• Experience working on security for distributed systems, or demonstrated ability and motivation to develop deep security expertise
• Ability to work directly with product and engineering teams to translate requirements into working implementations
• Comfortable working across multiple problem domains rather than specializing in a single area
• Strong communication skills with proven ability to negotiate and reach consensus across teams
• Eligible to obtain and maintain active U.S. Secret security clearance

Preferred Qualifications

Experience or willingness to learn in a subset of the following:

• Designing and implementing secure protocols, APIs, or cryptographic systems
• Integrating secure hardware (TPM, TEE, HSM)
• Operating system security and hardening (Linux)
• Securing Kubernetes deployments and container runtimes
• Embedded systems or robotics security
• Secure cloud architectures (AWS or Azure)
• Performing security architecture reviews and threat modeling

Additionally valuable:

• Proficient in: TypeScript, React, Python
• Experience building shared libraries, SDKs, or platform services consumed by other engineering teams
• Knowledge of cryptographic primitives and best practices (key management, certificate lifecycles, secure key storage)
• Familiarity with compliance frameworks (STIGs, NIST) and translating requirements into engineering controls
• Experience with Nix build systems

ABOUT THE JOB

We are hiring a Senior Software Engineer to design, improve, and maintain the core package set which supports software distribution throughout Anduril. This involves creating internal tooling, establishing standards, planning architectural changes, and supporting users of the package set. You are expected to provide expertise for the usage of Nix at a large scale and assist in training other engineers. You should be capable of operating autonomously with limited oversight in a complex environment, and have the ability to break down intricate problems into simple solutions.

WHAT YOU'LL DO

• Maintain an internal package set in order to enable software distribution across the company for development, hosted services, and embedded devices
• Package open-source and proprietary software components using Nix
• Improve developer ergonomics by defining Nix usage standards, creating tooling support, and integrating with developer workflows
• Provide assistance, training, and mentorship to other team members

REQUIRED QUALIFICATIONS

• Proficiency with Nix, Nixpkgs, NixOS, and functional programming generally
• Deep understanding of how build systems and packaging ecosystems work
• Ability to dive into large and complicated systems, and use Nix to improve them
• Experience with one or more of the following languages: Rust, C++, Go, Python, Haskell
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with managing cloud computing resources (eg: AWS)
• Experience with modern build and deployment tooling, and continuous integration (e.g. NixOS, Terraform)
• Experience designing complex software systems, and iterating upon designs via a technical design review process
• Familiarity with industry standard monitoring, logging, and data management tools and best practices
• A bias towards rapid delivery and iteration

ABOUT THE JOB 

We're seeking a Security Software Engineer with a specialization in crypto services and key management to develop novel security tooling for securing our suite of products. The ideal candidate can develop, test, and debug embedded software with mission-critical security responsibilities.

WHAT YOU’LL DO

• Design and develop cybersecurity tools for realtime embedded, embedded Linux, and Android systems.
• Design and develop resilient software supporting all phases of key handling on embedded systems - from key load through sanitization.
• Develop thorough testing and qualification procedures for security critical components.
• Collaborate with cross-functional teams to identify specific security needs and implement solutions.
• Conduct code reviews and ensure adherence to security best practices.
• Stay updated on the latest security threats and technologies.

REQUIRED QUALIFICATIONS 

• 2+ years of software development experience in some combination of Golang, Rust, or C/C++.
• Experience selecting and utilizing embedded HSMs and Secure Elements.
• Experience with CI/CD and test automation, including for mobile and embedded devices.
• Experience debugging embedded systems using common test equipment - logic analyzers, oscilloscopes, etc.
• Solid understanding of cybersecurity principles and practices.
• Ability to obtain and hold a U.S. Secret security clearance.

PREFERRED QUALIFICATIONS 

• Knowledge of security frameworks and compliance standards.
• Experience in mobile development, specifically on Android platforms.
• Familiarity with cloud infrastructure management (Terraform and/or AWS CDK).
• Experience implementing solutions compliant with US Government key handling requirements.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

ABOUT THE TEAM

The Lattice Platform is dedicated to building a comprehensive, integrated platform that enables efficient data management, task orchestration, and system-wide interoperability. Lattice, the foundation for everything we do as a defense technology company, consists of talented and hard-working engineers who are motivated to see their work rapidly deployed on the front lines. Unlike teams building experimental systems, we deploy our solutions in real-world environments. Our work spans core infrastructure, distributed systems, web development, networking, and other critical areas that form the backbone of Anduril's defense technology ecosystem. By combining these diverse, yet interconnected areas of expertise, we aim to create a powerful, scalable ecosystem that supports autonomous robots, data-driven decision-making, and innovative applications across all war-fighting domains. Our ultimate goal is to deliver a cohesive software infrastructure that drives technological advancement and operational efficiency for Anduril.

ABOUT THE JOB

We are looking for multiple Senior Software Engineers to join our rapidly growing platform team. In this role, you will be responsible for developing and maintaining the foundational systems that power Anduril's defense technology products. You will build infrastructure, platform services, and integration components that enable our entire engineering organization to operate efficiently at scale. This will require expertise in various programming languages, system architecture, and collaborative problem-solving. If you are someone who is self-motivated, holds yourself to high standards, and thrives in a low-structure, high-autonomy environment, then this role is for you.

WHAT YOU'LL DO

• Design and implement core infrastructure components that support Anduril's defense technology applications
• Develop platform services that enable other software engineers to scale their output
• Work with simulation, data management, compute infrastructure, and networking technologies
• Collaborate with customers to deliver novel software capabilities
• Partner with team members in the autonomy domain to create technologies and processes
• Enable users to safely and rapidly develop and deploy autonomous systems at scale
• Participate in technical design reviews and architecture discussions
• Implement robust monitoring, logging, and data management solutions

REQUIRED QUALIFICATIONS

• 7+ years working in an engineering environment: a startup (or startup-like environment), engineering school, etc.
• 5+ years working with a variety of programming languages such as Go, C++, Rust, Python, Java, JavaScript/TypeScript, etc.
• Experience designing, developing, and integrating software for infra, cloud, web, autonomy, robotic applications
• Demonstrated ability to build platform and infrastructure tooling
• Experience working with customers to deliver novel software capabilities
• Strong collaboration skills, particularly in the autonomy domain
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience building or inventing something: an app, a website, game, or startup
• Professional software development lifecycle experience using tools such as version control, CI/CD systems, etc.
• Experience building scalable backend software systems with various data storage and processing requirements
• Deep understanding of how computers and networks work, from a single desktop to a multi-cluster cloud node
• Experience with industry standard cloud platforms (AWS, Azure), CI/CD tools, and software infrastructure fundamentals
• Ability to quickly understand and navigate complex systems and established code bases
• Experience implementing robot or autonomous vehicle testing frameworks in HITL environments
• Experience with modern build and deployment tooling (e.g., NixOS, Terraform)
• Experience designing complex software systems and iterating upon designs via technical design reviews
• Familiarity with industry standard monitoring, logging, and data management tools and best practices
• A bias towards rapid delivery and iteration

ABOUT THE TEAM:

The Developer Platform team builds the tools and infrastructure that power software development at Anduril. We own the company's primary developer CLI (2,300+ engineers, 93k+ invocations), CI/CD pipelines serving 3,500+ engineers across 23 product lines in the US, Australia, and UK, deployment and release management systems, and Anduril's LLM adoption platform. We are standing up a new agentic development initiative to build the next generation of AI-powered developer infrastructure. The team is growing fast and this is a ground-floor opportunity to define what agentic software development looks like at a company building mission-critical defense systems.

WHAT YOU'LL DO:

• Build multi-agent orchestration infrastructure that moves AI coding agents from individual developer machines to servers executing work autonomously across repositories at company scale
• Design and implement an agent-optimized, real-time knowledge base that gives AI agents deep context on codebases, architecture, and operational patterns
• Build a skills and plugin platform that lets any team encode their domain knowledge into reusable AI capabilities
• Improve CI/CD reliability and developer experience across 23 product lines
• Create release tooling that simplifies shipping software to production environments and robotic platforms
• Operate and evolve Anduril's LLM adoption platform: model rollouts, capacity management, cost attribution, and developer onboarding

REQUIRED QUALIFICATIONS:

• Strong software engineering fundamentals in one or more of: Go, Python, TypeScript
• An entrepreneur, builder, PM, and designer rolled into one. We need people with outstanding software taste who can identify the right problem, design the solution, build it, and ship it in days, not quarters.
• A passion for developer tooling. You notice friction in your own workflow and cannot help but fix it. You spend 4 hours sharpening the axe and 30 minutes chopping wood.
• Demonstrated ability to quickly learn and adapt to unfamiliar technologies across multiple domains
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

PREFERRED QUALIFICATIONS:

• Experience building developer tools, CLIs, CI/CD systems, or platform infrastructure
• Experience with Kubernetes, Nix, or cloud infrastructure (AWS/Azure)
• Genuine interest in LLMs and agentic systems as applied to developer productivity. If you are already building with AI coding agents in your daily workflow, you will feel right at home.
• Prior work on LLM integrations, prompt engineering, or agent frameworks

ABOUT THE TEAM

Anduril's Detection and Response team is looking for a Security Operations Analyst to be the watchtower for Anduril's critical defense technologies. As a SecOps Analyst on the detection and response team, you'll be responsible for monitoring and responding to adversarial activity while helping incorporate key detection feedback loops with the detection engineering team. As a Senior SecOps Analyst, you will serve as an incident commander alongside other senior analysts. When not responding to threats, you'll be asking questions of our data sets, conducting threat hunting and data normalization operations across the organization to understand user behavior and identify anomalies. 

WHAT YOU'LL DO

• Triage and respond to alerts / incidents covering multiple disciplines including, but not limited to, phishing, endpoints, cloud infrastructure and services, and SaaS applications
• Build and optimize tailored detection signatures, response playbooks, and response automation using detection-as-code principles
• As the frontline of DNR, you will lead the feedback loop for detections, ensuring alerts are fine tuned to reduce false positives
• Participate in threat modeling scenarios with cross-functional partners to understand weaknesses across Cloud, Mobile, Endpoints, and other environments incorporating findings into security controls and/or detection signatures
• Organize and conduct threat hunting and data baselines to identify anomalous patterns in data
• Participate in an on-call rotation responding to security events and conducting incident response investigations while effectively communicating findings to key stakeholders. As a Senior SecOps Analyst, you will serve as an incident commander as necessary.
• Proactively collaborate with a wide range of stakeholders, guiding detection and response maturity of key worlds, leading incidents and large-scale data baselines, and being responsible with mentoring and guiding junior analysts.

REQUIRED QUALIFICATIONS

• Experience in security monitoring, log analysis, and detection engineering within large data sets across endpoint, network, and a wide variety of application log sources
• Experience in Python development, specifically contributing to a shared codebase used for automating SOC operations
• Must have experience with one or more SIEM languages (SPL, KQL, SQL)
• Experience conducting analysis in a data lake environment
• Broad range of practical security knowledge across the spectrum of endpoint, network, identity, application, and cloud infrastructure
• Knowledge of attacker tactics, techniques, and procedures (TTPs) across Windows, Linux, MacOS, AWS/Azure, etc.
• Strong communication skills and experience collaborating with internal and external stakeholders
• Must be able to obtain and hold a U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Experience conducting incident response in the Cloud (AWS, Azure, GCP)
• Digital Forensics and/or reverse engineering experience is a plus!

Team Overview

The Security Applications & Tools (SAT) team within Lattice Platform Security builds custom software systems that detect, manage, and remediate vulnerabilities across Anduril's product ecosystem at scale. We don't just deploy scanners — we design and build distributed scanning infrastructure, policy enforcement engines, and vulnerability management platforms from the ground up. Our stack includes event-driven architectures on AWS, custom Go services, policy-as-code systems, and integrations that span CI pipelines to production environments.

Job Description

We're looking for a senior software engineer to design and build the systems that keep Anduril's software secure. This is a software engineering role first — you'll architect distributed systems, write production Go and Python, build APIs, and operate services at scale. The domain is security, but the work is building real software: custom scanning orchestration pipelines, policy engines that evaluate thousands of configurations against security rules, and data systems that track vulnerabilities across an entire product ecosystem. If you want to write code that solves hard engineering problems in the security space rather than configure off-the-shelf tools, this is the role.

Key Responsibilities

• Design and build distributed services for vulnerability scanning, policy enforcement, and remediation workflows
• Develop and extend the team's scanning orchestration platform — an event-driven architecture built on AWS (SQS, Lambda, S3, ECR) that processes scan events at org-wide scale
• Build and maintain policy-as-code systems that programmatically enforce security policy in CI/CD pipelines and deployment configurations
• Design APIs and CLIs that integrate security tooling into developer workflows without creating friction
• Develop data pipelines that aggregate, normalize, and route findings from multiple scanning engines into vulnerability management systems
• Collaborate with engineering teams across Anduril to understand their security needs and build tooling that addresses them
• Evaluate third-party security tools and build custom integrations or replacements where needed
• Participate in on-call rotation for security tooling infrastructure

Required Qualifications

• 5+ years of experience designing and developing production software systems
• Strong proficiency in Go — this is the team's primary language for backend services
• Experience building distributed systems or data pipelines (event-driven architectures, message queues, APIs, worker systems)
• Proficiency with Python for scripting, automation, and tooling
• Experience with cloud infrastructure (AWS preferred: Lambda, SQS, S3, ECR, or equivalent)
• Ability to read and understand security tool output (vulnerability reports, SBOMs, static analysis results) and build systems around it
• Strong communication skills with the ability to work across teams
• Eligible to obtain and maintain active U.S. Secret security clearance

Preferred Qualifications

• Experience with CI/CD systems (CircleCI, GitHub Actions) and building integrations for developer workflows
• Familiarity with container security concepts, SBOM generation tools (Syft), and vulnerability scanners (Trivy, Grype, Semgrep)
• Experience with Terraform and infrastructure-as-code
• Experience with policy-as-code frameworks (OPA/Rego, Conftest)
• Background in application security or product security engineering
• Experience with Kubernetes and container orchestration
• Familiarity with Nix build systems

Mission Summary:

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

What you'll be doing:

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

What we're looking for:

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

Bonus points (not required):

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

About Team & About Role:

Rubrik’s sales organization is a united group of elite cross-functional sales professionals that help companies & government entities achieve resilience against cyberattacks, malicious insiders, and operational disruptions. We offer continuous professional development through our world class sales enablement program and our One Rubrik selling approach provides all the resources you need to exceed your goals, maximize your earnings potential and take your career to the next level. All this while doing something that truly matters, protecting the world's data.  

Rubrik is looking for a Sales Engineering Manager to lead a team of Cloud Specialist Sales Engineers and provide technical direction and business guidance to the regional sales teams across the Central and Eastern US. You will be accountable for regional revenue goals, recruiting and hiring top talent, enabling Sales Engineers to be best in business and by driving innovative technical programs and overseeing day-to-day account-level activities. You will be responsible for evangelizing, positioning, and architecting the industry's first hyper-converged hybrid cloud data management platform for both existing customers and new accounts. 

What You’ll Do:

• Leads a team of Sales Engineers across the Americas region
• Responsible for recruiting, hiring and enabling top SE’s as we expand our coverage
• Provide Technical Leadership and direction to the Sales Teams in the Region to help them build technology solutions for our customers and prospective customers.
• Assists in the analysis, design and development of fully integrated technology solutions.
• Demonstrates technical leadership and subject matter expertise on Rubrik’s products, distributed architectures, file systems, and competitive storage offerings in the Cloud and NAS product space.
• Acts as technical expert
• Makes technical and sales presentations to customer's technical staff and senior management.
• Serves as a trusted technology advisor to customers and serves as an internal resource on technical issues or specific business applications within an assigned market segment.
• Successfully builds relationships with the account team, partners and customers in support of sales team objectives and engages and leverages corporate resources, abilities, budgets and personnel as appropriate.

Experience You’ll Need:

• 3-5 years of sales engineering management experience preferably in a Cloud Infrastructure environments, working with AWS, Azure and GCP
• Driven – need for success, highly energetic with a strong hands-on, “can do” approach.
• The successful candidate must have a fundamental breadth of technical knowledge in cloud data management, backup and disaster recovery and data analytics.
• Entrepreneurial - willing to go the extra mile, strong work ethic, resourceful, “get it done” attitude
• Strives in moving in a fast-paced environment; including handling multiple calls/demos per day with immediate follow up.
• A high level of business acumen and experience working with Cx0 level personnel, bringing technology solutions to solve business challenges.
• Smart, adaptable and open-minded
• Bachelor’s degree required or equivalent experience

#CG-1

Sr. Software Engineer - US

Location: Massachusetts, Maryland, or Greater Austin, TX (Remote)
Team: Product & Engineering
Employment Type: Full-Time

About VulnCheck

VulnCheck is transforming vulnerability intelligence by helping security teams act faster and with more confidence. Our platform delivers early, high-quality exploit intelligence, deep asset correlation, and contextual insights to help organizations stay ahead of emerging threats.

About the Role

We’re looking for a Senior Software Engineer to design, build, and scale the core systems that power VulnCheck’s vulnerability intelligence platform. This is a high-impact, hands-on role where you’ll own critical services and data pipelines end-to-end—from design through production.

You’ll play a key role in shaping architecture, improving system performance and reliability, and delivering features that directly impact customers. While you’ll help resolve production issues, your focus will be on building durable, scalable solutions that prevent them. Although this is a 100% remote role, candidates must be located in either Massachusetts, Maryland, or Greater Austin, TX.

What You’ll Do

• Design and build scalable backend systems, APIs, and data pipelines
• Own services end-to-end, including architecture, development, deployment, and operation
• Lead technical design discussions and contribute to system architecture decisions
• Write high-quality, maintainable code and drive engineering best practices
• Debug complex production issues and implement long-term, scalable solutions
• Improve system performance, reliability, and observability across the platform
• Partner closely with Product, Data, and other Engineering teams to deliver impactful features
• Mentor junior engineers and contribute to a strong engineering culture
• Participate in incident response and on-call rotations 

What You’ll Bring

• 5+ years of experience building and scaling backend systems as a software engineer
• Strong programming skills in one or more languages (Python, Go, Java, etc.)
• Experience designing distributed systems and working with microservices architectures
• Deep understanding of APIs, system design, and cloud infrastructure (AWS preferred)
• Experience working with data pipelines, ETL systems, or high-volume data processing
• Proven ability to debug and optimize production systems
• Strong ownership mindset with the ability to lead projects independently
• Excellent communication skills and ability to collaborate cross-functionally

Preferred Qualifications

• Experience in cybersecurity, vulnerability management, or threat intelligence
• Familiarity with CVE, NVD, KEV, or exploit intelligence datasets
• Experience with streaming systems or real-time data processing
• Background in high-growth or startup environments

What We Offer

We believe people do their best work when they feel supported, trusted, and valued. VulnCheck offers benefits designed to meet a wide range of needs and lifestyles:

Benefits and Perks

• Unlimited PTO
• 401k plan with 100% match on first 3%, then 50% of the next 3-5% of compensation
• Comprehensive healthcare coverage
• Generous paid parental leave
• Remote friendly environment with flexibility
• Expense reimbursement for Cell Phone & Internet 
• Ongoing professional development, coaching, and learning resources
• Opportunities for career advancement within a fast-growing team

Why Join Us

Built on over two decades of cybersecurity experience, our team of experts understands the intricacies of vulnerabilities, their exploitation in the wild, and how to leverage this data to build more effective cybersecurity products that produce better outcomes for organizations.

VulnCheck gives organizations a tactical advantage by providing best-in-class exploit & vulnerability intelligence information. We have a sense of duty to protect the critical infrastructure we rely on including medical devices, power grids and telecommunication networks. We were founded in 2021 in Lexington, Massachusetts.

VulnCheck has a transparent, collaborative, and supportive culture - we are looking for people who have a growth mindset, are curious and innovative. Our team is smart, but humble, hardworking, and supportive.

VulnCheck is proud to be an Equal Employer Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. VulnCheck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. *Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.

Here at ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. If you are a take charge, take initiative, get stuff done individual, we want to talk to you! We have high aspirations for the company and are looking for the right people to help fulfill the dream. We strive to continually improve every aspect of the company and use cutting-edge technologies and processes to delight our customers and rapidly increase revenues.

About the Role

This is a rare opportunity to architect and own ZoomInfo's global Solutions Partner Program from the ground up. As the founding voice of this program, you'll shape how ZoomInfo's consulting and implementation partners deliver, scale, and succeed — directly influencing customer outcomes worldwide.

This is a high-impact individual contributor role with significant visibility and cross-functional influence across ZoomInfo's Partner, Sales, Services, and Executive teams. Reporting to the Sr. AVP of Partnerships, you will work closely with ZoomInfo's Solutions Team to ensure the program is built in alignment with ZoomInfo's overall partner strategy.

If you're a self-starter who thrives on building structure where none exists and wants to make a measurable impact on how ZoomInfo's partners succeed globally — we'd love to hear from you.

What You’ll Do:

• Buld and own ZoomInfo's global Solutions Partner Program, recruiting new partners and establishing the frameworks that drive partner-led implementation quality and customer adoption
• Elevate partners' technical competency and mature their ZoomInfo services practice through structured enablement and repeatable delivery frameworks
• Contribute actively to the evolution of ZoomInfo's broader partner program and go-to-market strategy
• Collect qualitative and quantitative data to measure and report on individual partner performance, ensuring a high standard of implementation quality across top partners
• Drive partner business planning, QBRs, and performance assessments to maintain strategic alignment and accountability
• Own and manage partner interactions across ZoomInfo's internal teams — including Marketing, Product, Pre-Sales, Sales, Services, Enablement, Customer Success, Partner Operations, and Executive Leadership
• Work with the partner team, delivery, and account teams to ensure the proper program elements, resources, and processes are in place to support solutions partners' success
• Serve as a trusted advisor and player/coach to ZoomInfo's solutions partners as the program scales
• Maintain accurate partner records and CRM hygiene across Salesforce and internal tools to ensure operational excellence
• Support partners and internal stakeholders with ad-hoc requests as needed, including legal agreement support, webinars, and collateral development

Core systems and tools: Salesforce, Jira, Confluence, GSuite, Netsuite, Snowflake, GCP, AWS, and additional tools within these ecosystems

What you Bring:

• 5–8 years of experience working with and managing solutions partners in a SaaS environment
• Experience building or scaling a partner program, enablement curriculum, or implementation methodology from an early stage
• Demonstrated success driving partner-sourced or partner-influenced revenue growth
• Existing SI partner relationships and an established network within the ecosystem
• Strong strategic business and marketing planning capabilities
• Excellent interpersonal skills with a proven ability to build positive relationships and influence outcomes through partners
• Proven ability to work cross-functionally across Sales, Services, Product, and Executive stakeholders
• Self-motivated with strong self-management skills and demonstrated leadership qualities as an individual contributor
• Familiarity with SaaS go-to-market motions and the partner ecosystems that support them

What Working at ZoomInfo Brings You:

• Build something that matters: define a program with global reach and lasting impact on how ZoomInfo's partners succeed
• Visibility and influence: Direct access to executive leadership and cross-functional strategy at a market-leading SaaS company
• A culture that is independently driven with a strong team mentality, where your work is recognized and valued
• Competitive compensation and benefits, including a comprehensive package designed to reward high performers
• A clear path to expand your scope and influence within the Partnerships organization as the program scales

About us: 

Built over 20 years ago, ZoomInfo Powered by DiscoverOrg has become the go-to-market standard for over 13,500 companies worldwide. Designed to be the single source of truth, the ZoomInfo platform offers best-in-class technology paired with unrivaled data coverage, accuracy, and depth of contacts, companies, and opportunities essential to empower sales, marketing and recruiting professionals to hit their numbers. Deeply embedded into business workflows and technology stacks-- including integrations with the leading CRM, Sales Engagement, Marketing Automation, and Talent Management applications - ZoomInfo is capable of delivering more predictable, accelerated, and sustainable growth than any stand-alone solution. ZoomInfo’s investors include TA Associates, The Carlyle Group and 22C Capital.

For more information about our leading marketing and sales intelligence solution, visit www.zoominfo.com.

All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, religion, gender, national origin, disability and protected veterans status or any other personal characteristic protected by law

#LI-EB1

#LI-Hybrid

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen–fast.

As a Senior Software Engineer on the API & MCP Platform team, you'll be at the forefront of building and scaling ZoomInfo's API infrastructure that handles millions of API calls weekly and powers integrations across our platform. You'll work with Java and NestJS to develop robust, secure, and high-performance API services that enable seamless connectivity for our customers and partners.

You'll design and implement scalable API architectures, establish best practices for API security and authentication, and build infrastructure that enables partners and customers to leverage ZoomInfo's data at scale. Your expertise in API design, OAuth 2.0, and emerging technologies like Model Context Protocol (MCP) will be essential in creating world-class developer experiences.

Our engineering culture values diversity, intellectual curiosity, problem-solving, and openness. We encourage collaboration, big thinking, and calculated risk-taking in a blame-free environment. You'll have the autonomy to work on meaningful projects while receiving the support and mentorship needed to grow your career.

What you will do :

• Design, develop, and maintain scalable RESTful APIs using Java and NestJS framework
• Build APIs that power company and contact data enrichment, search, and intelligence capabilities
• Architect and implement secure authentication and authorization systems using OAuth 2.0
• Build high-performance API gateways with advanced rate limiting, throttling, and quota management
• Design and implement MCP (Model Context Protocol) tools and servers to enable AI-powered integrations
• Establish and enforce API design standards, versioning strategies, and best practices across the organization
• Optimize API performance, caching strategies, and response times for high-volume traffic (millions of calls daily)
• Design and implement comprehensive API documentation, SDKs, and developer tools
• Create MCP tool schemas, implement prompt best practices, and optimize tool discovery patterns
• Collaborate with product and integration teams to define API contracts and service-level agreements (SLAs)
• Implement monitoring, logging, and analytics for API usage patterns and performance metrics
• Participate in code reviews and mentor team members on API and MCP best practices
• Troubleshoot and resolve production issues in distributed API systems
• Contribute to technical architecture decisions for API platform evolution. 

What you bring:

• Bachelor's degree in Computer Science, a related field, or equivalent practical experience
• 5+ years of experience in software development with strong focus on API development
• 3+ years of experience designing and implementing RESTful APIs and microservices at scale
• Strong expertise in Java frameworks (Spring Boot, Spring Security, Maven/Gradle)
• Strong expertise in NestJS framework
• Deep understanding of OAuth 2.0, OpenID Connect, JWT, and API security best practices
• Experience with API gateway technologies 
• Proficiency with API design patterns, versioning, and documentation (OpenAPI/Swagger)
• Strong knowledge of rate limiting, throttling, and API scalability strategies
• Understanding of distributed systems and high-availability architectures
• Experience with MCP (Model Context Protocol) tool creation and implementation. 

Preferred Qualifications:

• Experience releasing production MCP tools and servers
• Deep knowledge of MCP best practices, prompt engineering, and tool design patterns
• Familiarity with AI/LLM integration patterns and context management
• Experience with cloud platforms (AWS, GCP, or Azure)
• Knowledge of containerization and orchestration (Docker, Kubernetes)
• Experience with CI/CD pipelines and automated API testing
• Familiarity with message queuing systems (Kafka, RabbitMQ)
• Experience building developer portals and API documentation platforms
• Background in platform engineering or developer experience (DX) initiatives
• Active contributions to open-source API projects or MCP tool repositories

#LI-SK1

#LI-Hybrid

Datadog is seeking a motivated and experienced Security Sales Engineer to join our dynamic enterprise sales engineering team. In this role, you will play a critical part in driving our security sales efforts by providing technical expertise and delivering compelling solutions to our customers. You will work closely with our enterprise sales engineers and sales team to identify customer needs, craft go to market strategy, demonstrate the value of Datadog's security solutions, and ensure customer satisfaction.

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 will do:

• Support the Enterprise Security Sales team in driving adoption of Datadog’s security offering within target strategic accounts. 
• Collaborate with the broader sales team to identify and understand security requirements across Datadog’s Enterprise customer base. 
• Conduct detailed product demonstrations and presentations, showcasing the capabilities and benefits of Datadog's security solutions.
• Provide technical expertise and support throughout the sales cycle, including during customer evaluations and proof-of-value initiatives.
• Develop and maintain a deep understanding of Datadog's security products, industry trends and current vulnerabilities, staying updated with the latest features and enhancements.
• Assist in the creation of technical proposals, documentation, and other sales materials.
• Work closely with the product management and engineering teams to relay customer feedback and influence product development.
• Participate in industry events, conferences, and webinars to promote Datadog's security solutions..

Who You Are:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Deep experience with SIEM platforms and detection pipelines, SOC workflows (alert triage, investigation, response), endpoint security (EDR/MDR), and the deployment and tuning of security controls in live customer environments.
• Expert knowledge of the developer and DevOps ecosystems and application security best practices. 
• Strong understanding of security principles and best practices.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and related security tools and technologies.
• Excellent presentation and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Strong problem-solving skills and the ability to think critically and creatively.
• Willingness to travel up to 30% to meet with customers and attend industry events.

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 skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

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

#LI-Remote

The Senior Partner Program Manager will play a strategic role in the Zoominfo Partnerships Organization responsible for design, delivery, and execution of programs that will create a best-in-class partner ecosystem aligned to Zoominfo goals and objectives. The Senior Partner Program Manager is responsible for building and supporting multiple partner programs, such as Channel Sales, Technology, and Solutions, as we rapidly scale our Partner Ecosystem. We are looking for a self-starter who is comfortable dealing with ambiguity and has an entrepreneurial drive but can operate as part of a larger team and business. You are comfortable making recommendations based on data analysis and anecdotal feedback and willing to experiment with new ideas. You have a proven track record in taking on end-to-end ownership while working collaboratively with multiple stakeholders and successfully delivering results in a fast-paced and dynamic business environment. This role will report to the SVP of Partnerships to ensure the partner programs align with ZoomInfo’s overall corporate strategy.

What You’ll Do:

• Work with sales leadership and partnerships management, delivery and account teams to ensure the proper program elements, resources, and processes are put in place to support partner program success.
• Lead program management of high-visibility strategic programs, which includes designing a decision framework, executing strategy, and building a roadmap 
• Work collaboratively with Partners and internal ZoomInfo teams to develop repeatable frameworks 
• Play an active role in contributing to the evolution of ZoomInfo’s overall partner program and strategy
• Play a key role in partner recruitment and selection, engaging with strategic partners to ensure alignment and fast time-to-value.
• Help define goals/metrics to measure the success of our program
• Analyze key metrics, identify gaps, and create plans to mitigate and drive closure
• Collaborate with cross-functional teams taking responsibility for driving alignment and delivery
• Handle administrative functions related to Partner Programs, ensuring internal tools are updated, and sales hygiene is maintained
• Support Partners and internal stakeholders’ ad-hoc requests and jump in where needed (eg, legal agreement support, operations support, collateral building, etc.)

Core systems and tools you may be working with: Salesforce, Jira, Confluence, GSuite, Netsuite, Snowflake, GCP, AWS, plus multiple other peripheral software tools in these ecosystems.

What You Bring:

• 5+ years of Partner Program management experience
• Experience using data and metrics to determine and drive improvements
• Experience owning program strategy, end-to-end delivery, and communicating results to senior leadership
• Excellent interpersonal skills and a confirmed capacity to build positive relationships, manage partners to defined goals and objectives, and close business with partners
• Proven ability to work cross-functionally
• Must be self-motivated, have strong self-management skills and should demonstrate basic leadership qualities

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process.

We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

#LI-EB1

#LI-Hybrid

Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best. As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of ML modeling, data pipelines, MLOps, and agentic AI systems to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver ML powered systems that are not only intelligent but trusted and useful. You’ll move fast to bring ML systems from discovery all the way through production, helping to shape the future of the automotive care experience. For any Bay area based candidates, this would be hybrid with 2-3 days/week office at our Morgan Hill, CA office for collaboration. 

What you will do:

• Design, build, and ship production-ready ML models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.
• Conduct end-to-end development of ML systems: data gathering, experimentation, feature engineering, model training, evaluation, deployment, and monitoring.
• Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.
• Help design and implement shared feature stores so that reusable features can serve multiple models consistently in both batch and real-time contexts.
• Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
• Contribute to training infrastructure, model versioning, and CI/CD pipelines for ML workflows.
• Work closely with data scientists and data engineers to develop data driven solutions that are high impact for businesses.
• Translate complex ML workflows into digestible updates for cross-functional stakeholders.
• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.
• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
• Help build and ship AI agents that help automate key auto-shop business processes.

We are looking for people who have:

• Minimum of 5+ years of industry experience in applied machine learning; advanced degrees (Master’s or PhD) may offset years of experience.
• Proven experience shipping models into production (not just proof-of-concepts or notebooks).
• Proficiency in Python; experience with ML frameworks like PyTorch or Tensorflow.
• Strong foundations in classical ML/DL. Including some of the following: regression, classification, clustering, ranking, feature engineering, model evaluation, and experimentation.
• Bachelor’s degree in a STEM field, or equivalent practical experience.
• Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.

Nice to have:

Candidates should have some experience in one or more of the following areas.

• Understanding of MLOps principles: model versioning, orchestration, evaluation, monitoring, model serving, and CI/CD for ML. 
• Understanding of MLOps, and experience with modern tooling like MLFlow, DVC, Airflow, etc.
• Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
• Experience with/interest in LLM workflows and agentic workflows
• Cloud infrastructure experience, (e.g. GCP, AWS).
• Familiarity with vector databases (e.g. Pinecone, pgvector) and embedding-based retrieval or similarity search.
• Strong SQL skills for working with large-scale data.
• Experience designing or contributing to feature stores (e.g. Feast, VertexAI Feature Store, Tecton) for shared, reusable feature pipelines.

Bonus Points:

• Prior experience working at a high growth startup.
• Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
• Background in data processing or real-time analytics.
• Experience with Snowflake or other large-scale data warehouse solutions.

In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform behind Workato.com/go. You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

Role Overview

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems. 

Responsibilities

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.
• Collaborate with AI engineering and iPaaS  engineering teams to plan and deliver complex platform initiatives.
• Patch and optimize open-source components for performance and security.
• Build iPaaS and AI infrastructure at scale and cross-cloud.
• Manage and provision AWS infrastructure using Terraform and Kubernetes.
• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.
• Improve and maintain CI/CD pipelines for scalable and secure component delivery.
• Tune Linux systems and open-source software for high performance and hardened security.
• Build internal tools to streamline engineering workflows and operational automation.
• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

• 7+ years of experience in infrastructure or systems engineering roles.
• Proven expertise in distributed systems and cloud-native architectures.
• Strong understanding of Linux internals, including networking and system-level performance tuning.
• Experience operating infrastructure on AWS at scale.
• Proficiency with Terraform, Kubernetes. 
• Solid understanding of network security and cloud security best practices.
• Hands-on experience optimizing CI/CD workflows and automating deployments.
• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.
• Experience building cross-cloud AI infrastructure.
• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.
• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.
• Understanding of Vault or other secrets management systems.
• Contributions to or maintenance of open-source infrastructure projects.
  
  

Tech Stack

• AWS • Terraform • Kubernetes •  LiteLLM • Quadrant • ArgoCD • Kafka • PostgreSQL • Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

Why Join Us

• Build and operate a world-class cloud platform used by leading global enterprises.
• Collaborate with experienced engineers in the US and across international teams.
• Work in a highly technical environment focused on scalability, performance, and reliability.
• Contribute to an engineering culture that values ownership, craftsmanship, and innovation.

This is a full-time position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.

We are looking for a Senior Clinical Data Engineer to join our Research Operations team, which drives the end-to-end execution of studies that drive new feature development and validation. You’ll manage the data that forms the foundation of our clinical trials—ensuring that data pipelines are fast, transparent, and comply with all applicable regulations. 

In this role, you’ll work at the frontier of R&D health sensing and gain hands-on experience with every part of the clinical database lifecycle: from design and validation through database lock and archival. Working closely with our regulatory, software, and science teams, you’ll raise the bar for how Oura runs clinical studies. 

This is a remote US role with a preference for candidates based on the East coast.

We have offices in San Francisco, San Diego and Los Angeles for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations.

What You’ll Do:

• Oversee the clinical data lifecycle for a portfolio of studies: ensuring timelines and data integrity are maintained.
• Work closely with research project managers, algorithm developers, data engineers, and external vendors to align data management activities with broader trial objectives.
• Identify data-related risks and implement mitigation strategies, while driving process improvements and adopting emerging technologies as needed.
• Lead data quality management, query analysis, optimization, deduplication, auditing, and validation of regulated data ecosystems.
• Develop and oversee the design of Case Report Forms (CRFs) and electronic data capture (EDC) systems to ensure accurate, complete, and protocol-compliant data collection.
• Build the Clinical Data Repository that will form the backbone of all research and regulatory work at Oura

We would love to have you on our team if you have:

• 7+ years of industry experience with clinical data management
• Fluency with regulations such as ICH GCP, 21 CFR Part 11, and standards such as CDISC (SDTM/ADaM)
• Proficiency in an industry-standard EDC system (e.g. Medidata Rave, Castor, REDCap) and data engineering tools (e.g. AWS S3, Glue, Athena; Databricks; Dagster; dbt)
• Experience bridging clinical data management and research with enterprise practices and standards
• Comfort with building dashboards using tools like Tableau or Databricks
• Flexibility with scheduling to enable calls with global collaborators

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1 $172,550 - $203,000
• Region 2 $158,950 - $187,000
• Region 3 $147,900 - $174,000

A recruiter can determine your zones/tiers based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI)

Role overview

CarGurus is looking for a Security Engineer II to add to our growing Threat Detection and Response (TD&R) Team. This is a hands-on technical role that will build our first line of defense against cybersecurity threats in a complex and evolving landscape. You will be responsible for our detection and response lifecycle, identifying and preventing threats from impacting our employees, customers and other stakeholders. As a Security Engineer II, you will have the opportunity to build a platform to identify and stop threats, work with data to solve complex security challenges, and serve as the primary defender for the CarGurus ecosystem.

What you'll do

• Build tools and techniques to detect threats to the company using an engineering-first approach that prioritizes reliability, maintainability and scalability
• Leverage AI and automation to streamline detection and response operations in a safe and reliable manner
• Onboard, normalize and optimize security logging data to support detection engineering, applied ML models, and efficient querying during incidents.
• Develop high-fidelity, rule-based and ML-driven detections as code, utilizing automated testing and CI/CD pipelines for deployment.
• Respond to alerts, threats, and security incidents, including participating in on-call rotations
• Monitor the threat landscape to identify and track emerging threats, ensuring that appropriate detective and preventative controls are deployed
• Partner with development teams to design controls for a cloud first infrastructure (AWS, Kubernetes, etc)

What you'll bring

• 3+ years of experience in software, security, and/or data engineering 
• Strong desire to apply the latest technology including AI and ML to defend against threats
• Experience with data pipelines and data engineering, especially centralized logging, SIEM tools, and data lakes 
• Desire to measure the success of your work with quantitative tools like Precision and Recall
• Experience in at least one programming language like Python, Go or similar
• Experience with cloud infrastructure and technologies like AWS, Kubernetes, containers, IaC, etc
• Experience with good engineering practices like git/GitHub and CI/CD automations 
• Familiarity with tactics, techniques, and procedures used by threat actors
• Familiarity detecting and responding to cybersecurity incidents
• Strong passion for continuous learning, especially relating to cybersecurity and technology
• Team player with strong oral and written communication skills

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.

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

CTO Advisor

About Anaplan 

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

• Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
• Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.

Our Connected Planning solutions drive some of the world's largest companies, provide real-time insights, and enable smarter, data-driven decisions that optimize performance and improve decision-making across the enterprise. To support our ambition for growth and expansion, Anaplan is looking for an experienced CTO Advisor. The CTO Advisor will act as trusted advisor and executive advisor to our strategic accounts.

As a CTO Advisor you build strategic, technical relationships with our strategic accounts focusing on the offices of the CIO and CTO. You help grow the Anaplan footprint by building their enterprise architectures around Anaplan. This is a unique opportunity for a thought leader with deep enterprise technology expertise, proven industry experience and relationships, and exceptional collaboration skills to shape the future of Anaplan.

Your Impact
As a trusted leader and subject matter expert, you will:

• Strategic Advisory: Generate new business by supporting our strategic accounts and large deals on technology and enterprise architectures
• Trusted Advisor: Build trusted relationships with key partners, customers and prospects through solution development and collaboration.
• Thought Leadership: Represent Anaplan at industry events, in thought leadership opportunities, and through social media. 

Key Skills

• Analyze a company’s key use cases around cloud driven data, data management and integration technology
• Advise CIOs on enterprise architectures and best practices around SaaS applications, data lakes, data management, PaaS, AI/ML/data science platforms
• Translate top CIO priorities into commercial opportunities
• Build trusted advisor relationships with IT Executives
• Executive level communications in-person, on stage and in writing
• Manage cross-functional teams and key stakeholders in a matrixed organization to achieve maximum results for the business and customers

Your Qualifications

• 15+ years of experience in enterprise data software technology
• 5+ years at senior level (VP/Sr. Director)
• Worked in the following roles:
• Senior IT leadership roles at a large enterprise in CPG, Retail, FSI, Manufacturing, Energy, Transportation
• Senior field advisory roles at large tech companies like Microsoft, AWS, SAP, Oracle, ServiceNow, Databricks, Snowflake
• Senior consultant or practice lead at a big consultancy firm
• Led high-impact digital transformation projects at enterprise scale
• Held accountability to achieve key business goals i.e. revenue growth, TCO & ROI 

Our Commitment to Diversity and Inclusion

Build your job in a place that thrives on diversity, inclusion, and belonging. We believe in maintaining a hiring and working experience in which all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your true self to work every day! 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. 

Fraud Recruitment Disclaimer

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondences, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcement is to obtain privileged information from individuals.  

Anaplan does not:*-+ 

1. Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.  
2. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible, and then followed up via written communication. 

All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to humanresources@anaplan.com before taking any further action in relation to the correspondence.

Are you looking to combine your passion for technology with your penchant for strategic problem solving? Appian Customer success is obsessed with great customer outcomes. We deliver mission-critical business impact fast and are directly responsible for partnering with our customers to bring their best ideas to life. Joining the Customer Success team provides you with the support and growth you need to strengthen and evolve your consulting skills while driving next-generation, AI-powered digital transformations..

We are seeking a Technical Implementation Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to work throughout the entire project life-cycle to define, design, develop and implement custom software and AI solutions using Appian’s platform for our commercial clients. This includes working within an agile environment to understand our client’s business processes and technical needs, launch new relational data models in production, and developing APIs to integrate with multiple systems. You’ll brainstorm AI use cases and implement  Appian’s AI tools by applying retrieval augment generation (RAG), agentic workflows, prompt engineering and the latest generative models as a part of transforming how customers run their organization. You will also collaborate with client’s technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own.

To be successful in this role, you need:

• The ability to work with clients to define business processes and gather functional and technical system requirements
• Excellent communication skills, passion for technology and continuous learning, and an affinity for asking “why” and solving the right problems
• History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints)
• Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred)

Basic qualifications:

• 1+ years of experience with hands-on software development or technical consulting
• Experience with object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc)
• B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree
• Willingness to travel; 20% to support customer engagement

#LI-KC1

The base salary for this role is between $75,000-$125,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate’s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance.

In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. 

Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans.

Role overview

CarGurus is transforming how the company operates by embedding AI into workflows across every function — product, engineering, revenue, finance, support. It’s a software engineering role where the domain is the entire business. You’ll work directly with teams across the org to understand how work actually gets done, identify where AI can change the unit of work or shift where judgment lives, and build the systems that make it real. Some of that is agent-based automation. Some of it is workflow redesign. All of it requires someone who can architect and ship production-quality software, not stitch together SaaS integrations. This is not a Salesforce developer, Boomi connector, or low-code/no-code position, nor is it an enterprise architect or ML model training role.

This is a small, high-autonomy team reporting to the Head of AI Solutions. You’ll have outsized influence on how a publicly traded company with ~$1B in revenue adopts AI — not as a pilot or a demo, but as a structural change in how the business runs. You will be successful here if you are a product-caliber engineer who finds internal workflow transformation genuinely interesting — not a consolation prize, but the most leveraged place to be right now. You’d rather build something real that 200 people use tomorrow than something polished that ships in 6 months.

What you'll do

• Design and build AI-powered workflows and agent-based systems that transform how teams operate across the company.
• Partner directly with stakeholders in revenue, product, engineering, finance, and operations to gather requirements, map existing workflows, and identify high-leverage opportunities for AI.
• Build end-to-end — from scoping and architecture through implementation and deployment. This team ships, it doesn’t hand off specs.
• Work with AI APIs and platforms (Anthropic/Claude, AWS Bedrock, and others) to build agentic systems, automation pipelines, and intelligent tooling.
• Operate across a messy, heterogeneous environment — AWS infrastructure, Salesforce, internal services — without waiting for everything to be clean before you start building.
• Help shape the technical strategy and standards for AI Solutions as a function.

What you'll bring

• 5+ years of relevant software engineering experience.
• Strong software engineering fundamentals — you’ve built and shipped production systems, not just prototypes.
• Proficiency in Python as the primary language for this work; comfort with additional languages is a plus.
• Experience designing APIs, services, and data pipelines. You think in systems, not scripts.
• AWS fluency — you’re comfortable working within AWS infrastructure and services.
• Hands-on experience building with LLM APIs, agent frameworks, or AI-powered applications — not just experimentation, but something that ran in production or was used by real people.
• Ability to operate with high autonomy. You’ll scope your own work, make architectural decisions, and own outcomes.
• Willingness to work across the full stack of a business — including systems like Salesforce that aren’t glamorous but are where the high-impact problems live.

Nice-to-haves:

• Experience with workflow orchestration or automation at scale.
• Familiarity with Salesforce APIs and integration patterns (not Salesforce administration).
• Background in recommendations, search, data science, or ML engineering.
• Experience working cross-functionally with non-technical stakeholders.

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

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

What You'll Do

Technical Leadership and Strategy

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

Management and Team Growth

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

Collaboration and Execution

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

What We're Looking For

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

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

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

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

What You'll Do

Technical Leadership and Strategy

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

Management and Team Growth

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

Collaboration and Execution

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

What We're Looking For

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

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

Responsibilities

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform behind Workato.com/go. You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

Role Overview

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems.

Responsibilities

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.

• Collaborate with US-based engineering teams to plan and deliver complex platform initiatives.

• Patch and optimize open-source components for performance and security.

• Develop low-level internal services using Linux syscalls and networking primitives.

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.

• Improve and maintain CI/CD pipelines for scalable and secure component delivery.

• Tune Linux systems and open-source software for high performance and hardened security.

• Build internal tools to streamline engineering workflows and operational automation.

• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

• Coordinate cross-team projects, ensuring smooth collaboration on shared goals.

• Collaborate with management to align engineering goals with company objectives.

• Perform a Tech Leader role for a group of engineers (planing, reporting, technical leading).

• Support the professional growth of other engineers by sharing knowledge and mentoring them.

Requirements

• 10+ years of experience in infrastructure or systems engineering roles.

• Proven expertise in distributed systems and cloud-native architectures.

• Strong understanding of Linux internals, including networking and system-level performance tuning.

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform, Kubernetes. 

• Solid understanding of network security and cloud security best practices.

• Hands-on experience optimizing CI/CD workflows and automating deployments.

• Excellent analytical, troubleshooting, and communication skills.

• Experience mentoring and developing engineers, fostering professional growth, and promoting knowledge sharing across teams.

• Experience working as a technical leader - planning, reporting, and guiding engineering efforts within a team.

Nice to Have

• Experience with Golang for tooling or internal services.

• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.

• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.

• Understanding of Vault or other secrets management systems.

• Contributions to or maintenance of open-source infrastructure projects.

Tech Stack

• AWS • Terraform • Kubernetes • Docker • Linux • Golang • ArgoCD • Kafka • PostgreSQL Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

Why Join Us

• Build and operate a world-class cloud platform used by leading global enterprises.

• Collaborate with experienced engineers in the US and across international teams.

• Work in a highly technical environment focused on scalability, performance, and reliability.

• Contribute to an engineering culture that values ownership, craftsmanship, and innovation.
  
  Compensation:
  This is a full-time, exempt position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.

Responsibilities

We are seeking a visionary Chief Strategic Architect to serve as Workato's technical authority and strategic advisor to our most critical prospects, customers, and the broader market within their assigned region. The Chief Strategic Architect operates at the nexus of technical credibility, executive influence, and market thought leadership, acting as the external-facing voice of Workato's innovation and technical vision.

This is not a sales role. It is a strategic, hybrid operator-advisor-influencer position. You will act as an extension of the executive team in the field, elevating conversations with senior leaders and positioning Workato as the essential platform for enterprise integration, AI orchestration, and intelligent automation.

This role is accountable for building technical trust across the customer lifecycle - from initial engagement through strategic expansion - while simultaneously shaping how the market understands enterprise integration, AI orchestration, and intelligent automation. The Chief Strategic Architect influences deal outcomes, product direction, and industry perception, ensuring Workato is recognized as the definitive leader in Enterprise Orchestration.

First 90 Days

Learn & Align (Days 0-30)

• Deep immersion into Workato's AI vision, product roadmap, and GTM strategy

• Shadow at least 10 executive customer conversations

• Develop initial point of view for engagement with CIO/CTO/CDO personas

Engage & Formulate (Days 30-60)

• Lead first strategic engagements with enterprise accounts

• Co-develop executive playbooks with Sales and Product teams

• Establish feedback loops with Product and Engineering teams

Influence & Scale (Days 60-90)

• Cultivate trusted relationships with C-level executives in 5+ strategic accounts

• Co-create first AI-driven integration use cases with customers

• Establish thought leadership presence through content and speaking opportunities

Technical Trust & Executive Relationships

• Engage directly with C-level executives (CIOs, CTOs, Chief Data Officers, Chief AI Officers) at enterprise accounts to shape integration strategies that solve complex business challenges

• Serve as trusted technical advisor throughout the customer lifecycle - from initial engagement through expansion - providing strategic guidance rooted in real-world operator experience

• Build lasting peer-to-peer relationships that position you as the go-to expert on enterprise integration, AI orchestration, and automation at scale

• Act as technical closer in competitive deals, articulating why Workato's architecture differentiates us from competitors like MuleSoft and Boomi

• Influence enterprise architecture decisions and multi-year technology strategies at the executive level

AI, Agentic Automation & Enterprise MCP Strategy

• Shape and guide customers' AI and agentic automation journeys, leveraging Workato's AI capabilities and ecosystem

• Advise on the design and adoption of agent-based workflows, human-in-the-loop models, and decision automation frameworks

• Partner with customer executives to define enterprise MCP (Model Context Protocol) strategies including context management, secure AI orchestration, and governance

• Translate emerging AI capabilities into practical, scalable enterprise use cases that drive measurable business outcomes

• Position Workato as the integration and orchestration backbone for enterprise AI transformation

Domain Expertise & Thought Leadership

• Establish yourself as the recognized authority across iPaaS, API Management (APIM), data orchestration, EDI, and AI/Agentic automation

• Lead "Art of the Possible" workshops that fundamentally shift how customers think about enterprise integration and intelligent automation

• Represent Workato at industry conferences, customer advisory boards, analyst briefings, and partner events

• Create high-impact thought leadership content: blogs, white papers, webinars, reference architectures, and technical videos

• Shape industry narratives and best practices that establish Workato as the category leader

Deal Acceleration & Commercial Impact

• Accelerate deal velocity through technical validation, competitive differentiation, and executive trust-building

• Identify and shape strategic expansion opportunities by uncovering automation, integration, and AI-driven transformation initiatives

• Partner with Account Executives and Sales Leadership on account strategy, competitive positioning, and C-level engagement tactics

• Articulate compelling ROI narratives and business case frameworks that accelerate buying decisions

• Demonstrate measurable impact on win rates, deal size, and sales cycle length in strategic opportunities

Strategic Advisory & Technical Leadership

• Lead high-impact customer engagements requiring executive-level judgment, architectural vision, and industry expertise

• Guide prospects and customers through Enterprise Orchestration vision and roadmap development

• Develop prioritization frameworks for integration, automation, and AI use cases

• Lead technology evaluation and vendor selection processes with enterprise customers

• Design governance, scalability, and enterprise operating models for automation initiatives

Product Influence & Market Intelligence

• Act as the voice of the customer to Product and Engineering teams, channeling field insights into actionable roadmap input

• Identify capability gaps, competitive threats, and market opportunities based on executive-level customer conversations

• Develop and refine competitive positioning, objection handling, and differentiation strategies

• Define reusable patterns, reference architectures, and technical frameworks that accelerate customer success

• Influence industry analysts and thought leaders to strengthen Workato's market position

Internal Enablement & Team Development

• Educate and enable Sales Engineers, Account Executives, and Customer Success teams on complex technical capabilities and emerging trends

• Develop strategic frameworks, competitive positioning, and executive engagement playbooks for enterprise accounts

• Mentor technical team members, helping them develop deeper domain expertise and executive engagement skills

• Create scalable technical enablement content and programs that amplify your expertise across the field organization

• Drive customer reference creation and participation in case studies, speaking opportunities, and advisory boards

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience)

• 20+ years of technology transformation experience, including integration, middleware, or API management platforms

• 15+ years in an Enterprise Architect, CTO, VP Engineering, or similar senior architecture/leadership role

• Demonstrated experience advising C-level executives on technology strategy and enterprise transformation

• Strong understanding of enterprise security, governance, and operating models

• Proven track record of driving platform expansion and value realization in enterprise accounts

• Excellent executive communication skills, including board-level presentations and strategic documentation

• Ability to operate independently in complex, ambiguous environments and take ownership of outcomes

• Travel to client sites up to 50%, with flexibility based on regional needs

Soft Skills / Personal Characteristics

• Master's degree in Computer Science, Software Engineering, Business, or related field

• Deep knowledge of key enterprise applications: Salesforce, NetSuite, Workday, ServiceNow, SAP, Oracle

• Experience with cloud platforms: AWS, Azure, and GCP

• Hands-on experience with AI/ML platforms and agentic automation frameworks

• Experience in a high-growth startup or scale-up environment

• Established personal brand and thought leadership presence in the integration/automation space

Measures of Success

Long-term success for this leader will be measured by their ability to:

• Embed Workato at the heart of technology strategy conversations across the region's most influential enterprises

• Cultivate sustained engagement with senior technology and engineering leaders ensuring Workato becomes synonymous with Enterprise Orchestration and AI orchestration

• Create a robust pipeline of seven-figure opportunities tied to transformation initiatives

• Reframe Workato in the minds of decision-makers and analysts as the essential platform for AI-enabled enterprise integration

• Leave behind scalable playbooks and repeatable narratives that enable go-to-market teams to engage enterprise audiences with authority and credibility.

The estimated pay range for this role is between  $240,000 - $280,000 + Bonus, but candidates outside of this band are encouraged to apply.

Job Req ID: 2645

Mission Summary:

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

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

What You'll Do:

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

What We're Looking For:

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

Bonus Points (Nice-to-Haves):

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

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

Mission Summary:

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

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

What you'll be doing:

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

What we're looking for:

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

Mission Summary

The AI Data Foundry is the vital link between our company's expansive data and the engineering teams that rely on it. We architect and operate the core services and infrastructure necessary to transform petabytes of raw data each month into actionable insights for our Machine Learning and Autonomy engineers. This role is a key contributor across our core initiatives:

• Data Processing: We are building state-of-the-art infrastructure to meet the demands of our rapidly scaling fleet and sophisticated ML engineering requirements. You will be responsible for ensuring that our core data pipelines are robustly engineered—meaning they are performant, user-friendly, and highly fault-tolerant.
• Data Discovery: we are building a platform that combines cataloging data for search needs across our metadata stores, vector datastores, and various data warehouses to super charge our ML pipelines. You would be coming in and working with ML and autonomy stakeholders to build out this new discovery platform. 
• Data Lineage: we are getting started with building our data lineage system that will track the usage of all data at Motional. You would work with our stakeholders to ensure our system is widely adopted and address customer pain points.

What You'll Be Doing

• Play a key role in designing and building the next generation of data infrastructure.
• Build scalable backend services for data discovery and data lineage systems.
• Write high quality, maintainable code to process petabytes of data 
• Lead and champion high-level system design and quality code reviews/technical contributions.
• Design, build, and maintain scalable data processing and access with cloud ETL technology.

What We're Looking For

• 3+ years of professional experience as a data engineer or data pipeline engineer
• BS or MS in Computer Science or related field
• Strong development experience with Python and SQL.
• Expertise with AWS services and solutions (EKS, Lambda, ETL) 
• Experience with distributed system design and development
• Comfortable working in a fast-paced, continuous delivery environment

Bonus Points (not required): 

• Experience with Infrastructure Monitoring
• Experience working in cross-functional development teams 

Mission Summary:

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

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

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

What you'll do:

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

What you'll be working on:

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

What you bring:

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

Bonus points for experience with:

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

Mission:

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

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

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

What You'll Do: 

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

What We're Looking For:

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

Bonus Points:

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

Mission:

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

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

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

What You'll Do:

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

What We're Looking For:

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

Bonus Points:

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

Role overview

CarGurus is looking for a Senior Security Engineer to add to our growing Threat Detection and Response (TD&R) Team. This is a hands-on technical role that will build our first line of defense against cybersecurity threats in a complex and evolving landscape. You will be responsible for our detection and response lifecycle, identifying and preventing threats from impacting our employees, customers and other stakeholders. As a Senior Security Engineer, you will have the opportunity to apply your experience  to provide technical leadership to the team, build a platform to identify and stop threats, work with data to solve complex security challenges, and ultimately defend CarGurus against critical threats.

What you'll do

• Build a platform to detect threats to the company using an engineering-first approach that prioritizes reliability, maintainability and scalability
• Leverage AI and automation to streamline detection and response operations in a safe and reliable manner
• Onboard, normalize and optimize security logging data to support detection engineering, applied ML models, and efficient querying during incidents.
• Apply an engineering mindset to develop high-fidelity, rule-based and ML-driven detections as code, utilizing automated testing and CI/CD pipelines for deployment.
• Own the end-to-end response to alerts, threats, and security incidents, including participating in on-call rotations
• Proactively monitor the threat landscape to identify and track emerging threats, ensuring that appropriate detective and preventative controls are deployed
• Partner with development teams to design controls for a cloud first infrastructure (AWS, Kubernetes, etc)

What you'll bring

• 5+ years of experience in software, security, and/or data engineering
• Strong desire to apply the latest technology including AI and ML to defend against threats
• Experience with data pipelines and data engineering, especially centralized logging, SIEM tools, and data lakes
• Desire to measure the success of your work with quantitative tools like Precision and Recall
• Proficiency in at least one programming language like Python, Go or similar
• Proven experience with cloud infrastructure and technologies like AWS, Kubernetes, containers, IaC, etc
• Proven experience with good engineering practices like git/GitHub and CI/CD automations
• Familiarity with tactics, techniques, and procedures used by threat actors
• Experience detecting and responding to cybersecurity incidents
• Strong passion for continuous learning, especially relating to cybersecurity and technology
• Team player with strong oral and written communication skills
• Effective ability to make decisions independently and provide clear technical guidance to others

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.

Location: This role will be based on-site at our Boston, MA office.
Travel: Less than 10% travel
Job ID: 1462

The Role: 

We are looking for a Fabrication Research Scientist. As a Fabrication Research Scientist, 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 design, fabricate, and test optical circuits for optical interfaces to qubits. You will develop integration techniques for combining optical and electronic devices that optimize for system level performance. You will lead efforts to fabricate and test these devices at foundry scale.

Responsibilities:

• Work with architecture teams to turn system level specifications into component level specifications and design rules 
• Design optical circuits taking into account target performance, fabrication capabilities, and interactions with other components 
• Fabricate test devices in a user facility 
• Build relationships with external vendors to scale up fabrication and testing
• Partner with internal test and measurement teams to ensure devices meet target specifications

Requirements:

• 5 + years of experience fabricating optical or quantum devices 
• A PhD in electrical engineering, physics, or a related field
• Experience leading cross disciplinary teams within large projects 

Preferred Qualifications:

• Experience hiring and training new teams for research and development work
• Knowledge of cryogenic testing and operation 
• Familiarity with architectures for distributed quantum computing, sensing, and networking

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.