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

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

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.)

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.

ABOUT THE TEAM

Anduril’s Manufacturing team is seeking a Senior Industrial Engineer to focus on manufacturing optimization. Our team is responsible for rapidly iterating and building cutting-edge defense hardware, including static equipment, ground vehicles, sensors, undersea systems, and flight vehicles, while scaling these products across existing and new manufacturing facilities.

In this role, you will optimize Anduril’s manufacturing operations for quality, reliability, speed, and asset utilization, all while meeting critical customer deployment and internal development timelines. You will leverage a data-driven approach to design production lines and manufacturing processes. This position requires active collaboration with various Anduril teams, including Supply Chain, Engineering, Quality, and Business Operations.

ABOUT THE ROLE

The ideal candidate for this role will demonstrate holistic ownership in solving operational challenges with creative solutions in a fast-paced, resource-limited environment. This individual will be flexible in providing support as needed to ensure products are built and shipped to stringent quality standards. If you thrive as a connector among operational stakeholders to advance a production team, this role is for you.

WHAT YOU'LL DO

• Produce and maintain capacity models and production ramp plans to define labor planning, capex requirements, workstation design, and throughput gaps.
• Design effective facility layouts and production lines using CAD and simulation which meet process requirements, enable production targets, optimize resource allocation and material flow, and maximize productivity and quality.
• Identify and champion improvements to key causes of high variability or production bottlenecks, driving actions to resolution across disciplines and stakeholders.
• Leverage a data-driven approach to production design and process improvements to improve throughput.
• Own the reporting and analysis of manufacturing health and ensure that stakeholders have the inputs they need to make decisions across Engineering (cut-in dates for new designs), Supply Chain (signals on what to buy), Manufacturing (signals on being clear-to-build and what to build), and Growth (supply overview to drive customer contracts)
• Maintain a data-driven virtual factory to serve as a current digital reference model for performance assessment.
• Lead the design of production lines and workstations for both low-rate and full-rate production using techniques like Value Stream Mapping and Line Balancing.

REQUIRED QUALIFICATIONS

• 5+ years past experience in a high-rate manufacturing environment in either a production or supply chain-type role where complex mechanical and/or electrical assemblies were built with heavy data utilization
• Factory and/or production line design and set up - Value Stream mapping, Flow lines, continuous flow, one piece flow, workstation design
• Material Flow Systems - designing how material flow around a facility, pull systems, Kanban, Min/ max calculations, Part presentation to operator, Tote bin packaging, lineside racking.
• Digital Systems - experience of using Siemens "Plant Simulation", "Process Simulation" software to model a production line and run production scenarios.
• Demonstrated ability to completely own a value chain from start to finish, coordinating among multiple different internal and external parties to achieve on-time deliveries under stringent quality standards
• Prior knowledge or experience with ERP, WMS and MES systems
• Experience with Lean Manufacturing principles/implementation
• Ability to demonstrate a willingness to take on substantial responsibility across manufacturing, engineering, and operations functions with a bias towards speed and accuracy
• Strong technical ability to read technical documentation such as drawings and CAD data, understanding of a variety of hardware manufacturing processes for both electronics (PCBAs, sensor hardware, etc.) and structures, mechanical components, and electromechanical systems

PREFERRED QUALIFICATIONS

• Bachelor’s degree or higher in industrial, mechanical/aerospace/manufacturing, electrical, or computer engineering
• Prior work designing and/or setting up new production lines or factories - from process mapping through to collaborating with infrastructure design partners and detailed work station design
• Experience interacting with SQL databases - storage of information and building custom queries for tracking production and inventory-related metrics
• Experience with production simulation software (Siemens/PlantSim/ProcessSim) or equivalent DES (Promodel, FlexSim, Simio, etc)
• Basic knowledge in object-oriented computer programming (example languages: Python, R, C++, Java, etc.) OR working with large data sets with SQL or No-SQL
• Knowledge stochastic/deterministic models and when to apply them
• Proficient in handling large data sets, including filtering, identifying trends, and graphical representation.
• Candidate should have knowledge of design engineering and manufacturing engineering processes including:
  
  • 3D CAD design/modeling of parts and assemblies
  • 3D factory layout
  • Manufacturing process planning of fabricated parts, and complex discrete assembly process
  • Manufacturing simulation of assembly processes, human ergonomics, and discrete event simulation
  • Strong manufacturing data analytics and statistical analysis background with proficiency in statistical process control

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 JOB:

We are looking for an expert Oracle Integration Developer to join our Arsenal (Enterprise Systems) team. Your immediate mission: take ownership of our critical enterprise integrations connecting Oracle Fusion ERP with our upstream and downstream systems. These integrations, built on Oracle Integration Cloud, form the digital backbone that governs how we manage our business operations, from product data and procurement to manufacturing and financial processes. You will be tasked with stabilizing, optimizing, and making them exceptionally robust.

Long-term, you will be the subject matter expert responsible for architecting and scaling our enterprise integration landscape. This is a high-impact role for someone who thrives on solving complex data challenges and wants to build the operational foundation that enables Anduril to scale its mission.

WHAT YOU"LL DO:

• Stabilize & Optimize: Dive deep into existing Oracle Fusion ERP integrations across manufacturing, supply chain, finance, and engineering systems. Diagnose root causes of instability, re-architect weak points, and implement robust error handling and monitoring to achieve mission-critical reliability.
• Architect & Build: Design and develop new, scalable enterprise integrations using Oracle Integration Cloud (OIC). Translate complex business requirements for product data, multi-level Bills of Material (BOMs), procurement, inventory, work orders, and financial transactions into resilient and efficient integration flows.
• Own the Integration Lifecycle: Manage the end-to-end process from design and development through testing (unit, SIT, UAT) and deployment, utilizing CI/CD best practices. Proactively tune and maintain integrations to ensure peak performance as data volumes grow.
• Ensure Data Integrity: Become the trusted expert on data transformation and mapping between systems. Implement rigorous validation and reconciliation logic to guarantee that our enterprise data is flawless across all systems.
• Collaborate & Influence: Act as the key technical partner to our ERP, Manufacturing, Supply Chain, and Finance teams. Clearly articulate technical designs, trade-offs, and progress to both engineering peers and business stakeholders, guiding them toward best-practice integration patterns.
• Leverage Modern Oracle Cloud Tools: Utilize Oracle Visual Builder Cloud Service (VBCS) where appropriate to build lightweight user interfaces that enhance integration workflows, data validation, or operational dashboards.

REQUIRED QUALIFICATIONS:

• 5+ years of hands-on experience developing complex integrations with deep specialization in Oracle Integration Cloud (OIC), specifically Oracle Integration 3.
• Proven experience integrating Oracle Fusion Cloud ERP with upstream and downstream enterprise systems (e.g., PLM, MES, WMS, CRM, third-party applications), including deep familiarity with ERP data objects such as Items, BOMs, Suppliers, Purchase Orders, Work Orders, Inventory Transactions, and Financial data.
• Expert-level proficiency in OIC 3 components: Application and Tech Adapters (REST, SOAP, File, FTP, Oracle SaaS, Database), Connections, Mappings, Lookups, Error Handling, and JavaScript.
• Strong command of XSLT, XPath, and complex data mapping for transforming large and nested XML/JSON payloads.
• Demonstrable experience building, securing, and consuming RESTful APIs and SOAP web services.
• Excellent SQL skills and a solid understanding of relational database concepts.
• Experience with Oracle Fusion ERP modules such as SCM (Supply Chain Management), Manufacturing, Procurement, or Financials.
• A tenacious problem-solver with a track record of troubleshooting, debugging, and stabilizing complex, business-critical systems.

PREFERRED QUALIFICATIONS:

• Hands-on experience with Oracle Visual Builder Cloud Service (VBCS) for building user interfaces and extensions.
• Experience with Oracle Business Intelligence Cloud Connector (BICC) for high-volume data extraction from Fusion ERP.
• Experience with Oracle Cloud Infrastructure (OCI) services (e.g., Functions, API Gateway, Object Storage, Logging, Autonomous Database).
• Experience integrating PLM systems (e.g., Teamcenter, Windchill, Arena) with Oracle Fusion ERP.
• Familiarity with Git-based source control and CI/CD pipelines for integration deployments.
• Experience in a discrete manufacturing environment.
• Knowledge of other programming languages (e.g., Python, Groovy, Java).
• Relevant Oracle Cloud Certifications (e.g., OIC 3 Application Integration Professional, Oracle Fusion Cloud certifications).
  
  

ABOUT THE JOB:

We are looking for an expert Oracle Integration Developer to join our Arsenal (Enterprise Systems) team. Your immediate mission: take ownership of our critical enterprise integrations connecting Oracle Fusion ERP with our upstream and downstream systems. These integrations, built on Oracle Integration Cloud, form the digital backbone that governs how we manage our business operations, from product data and procurement to manufacturing and financial processes. You will be tasked with stabilizing, optimizing, and making them exceptionally robust.

Long-term, you will be the subject matter expert responsible for architecting and scaling our enterprise integration landscape. This is a high-impact role for someone who thrives on solving complex data challenges and wants to build the operational foundation that enables Anduril to scale its mission.

WHAT YOU"LL DO:

• Stabilize & Optimize: Dive deep into existing Oracle Fusion ERP integrations across manufacturing, supply chain, finance, and engineering systems. Diagnose root causes of instability, re-architect weak points, and implement robust error handling and monitoring to achieve mission-critical reliability.
• Architect & Build: Design and develop new, scalable enterprise integrations using Oracle Integration Cloud (OIC). Translate complex business requirements for product data, multi-level Bills of Material (BOMs), procurement, inventory, work orders, and financial transactions into resilient and efficient integration flows.
• Own the Integration Lifecycle: Manage the end-to-end process from design and development through testing (unit, SIT, UAT) and deployment, utilizing CI/CD best practices. Proactively tune and maintain integrations to ensure peak performance as data volumes grow.
• Ensure Data Integrity: Become the trusted expert on data transformation and mapping between systems. Implement rigorous validation and reconciliation logic to guarantee that our enterprise data is flawless across all systems.
• Collaborate & Influence: Act as the key technical partner to our ERP, Manufacturing, Supply Chain, and Finance teams. Clearly articulate technical designs, trade-offs, and progress to both engineering peers and business stakeholders, guiding them toward best-practice integration patterns.
• Leverage Modern Oracle Cloud Tools: Utilize Oracle Visual Builder Cloud Service (VBCS) where appropriate to build lightweight user interfaces that enhance integration workflows, data validation, or operational dashboards.

REQUIRED QUALIFICATIONS:

• 5+ years of hands-on experience developing complex integrations with deep specialization in Oracle Integration Cloud (OIC), specifically Oracle Integration 3.
• Proven experience integrating Oracle Fusion Cloud ERP with upstream and downstream enterprise systems (e.g., PLM, MES, WMS, CRM, third-party applications), including deep familiarity with ERP data objects such as Items, BOMs, Suppliers, Purchase Orders, Work Orders, Inventory Transactions, and Financial data.
• Expert-level proficiency in OIC 3 components: Application and Tech Adapters (REST, SOAP, File, FTP, Oracle SaaS, Database), Connections, Mappings, Lookups, Error Handling, and JavaScript.
• Strong command of XSLT, XPath, and complex data mapping for transforming large and nested XML/JSON payloads.
• Demonstrable experience building, securing, and consuming RESTful APIs and SOAP web services.
• Excellent SQL skills and a solid understanding of relational database concepts.
• Experience with Oracle Fusion ERP modules such as SCM (Supply Chain Management), Manufacturing, Procurement, or Financials.
• A tenacious problem-solver with a track record of troubleshooting, debugging, and stabilizing complex, business-critical systems.

PREFERRED QUALIFICATIONS:

• Hands-on experience with Oracle Visual Builder Cloud Service (VBCS) for building user interfaces and extensions.
• Experience with Oracle Business Intelligence Cloud Connector (BICC) for high-volume data extraction from Fusion ERP.
• Experience with Oracle Cloud Infrastructure (OCI) services (e.g., Functions, API Gateway, Object Storage, Logging, Autonomous Database).
• Experience integrating PLM systems (e.g., Teamcenter, Windchill, Arena) with Oracle Fusion ERP.
• Familiarity with Git-based source control and CI/CD pipelines for integration deployments.
• Experience in a discrete manufacturing environment.
• Knowledge of other programming languages (e.g., Python, Groovy, Java).
• Relevant Oracle Cloud Certifications (e.g., OIC 3 Application Integration Professional, Oracle Fusion Cloud certifications).
  
  

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.

About the Role:

We are seeking an experienced Principal Software Engineer (Data) to join our fast-paced, collaborative data team. In this role, you will have broad authority to drive the direction of our technographic data services, building world-class data pipelines and systems to process billions of signals and data points. This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

What You'll Do:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure.

What We're Looking For:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights.

Ideal Background:

• 10+ years of experience in software engineering roles.
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organizations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field.

#LI-SK1

#LI-Remote

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

Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. 

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

What You’ll Do:

• Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments
• Write in Go, Java Rust or C++, amongst other languages
• Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components
• Own meaningful parts of our service, have an impact, grow with the company
  
  

Who You Are:

• 6+ years of experience
• You have a BS/MS/PhD in a scientific field or equivalent experience
• You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) 
• You have been exposed to working on problems (high durability / low latency /…)
• You can get down to the low-level when needed
• You care about simple designs and performance
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.

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:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

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

#LI-LB1

Datadog is committed to open source. It starts with our Agent, tracers, libraries, and SDKs all being open source. But it goes so much further. From open standards to open collaboration, it’s a core part of who we are and what we do. As part of the Open Source Program Office (OSPO), you will be focusing on building tools, documentation, policies, etc. that improve how our engineers interact with Open Source projects (our own and third-party projects), as well as representing Datadog in Open Source communities. 

What You’ll Do: 

• Build and maintain tools that ease building and releasing Open Source software at Datadog
• Build and maintain tools that ease ingesting Open Source software at Datadog
• Create developer facing documentation and training materials around contributing to open source and maintaining open source projects
• Interface with open source communities to understand problems and trends in the market
• Create tools to automatically analyze and report on Open Source repositories trends and statistics
• Interface with [Datadog Open Source Partners] (Datadog for Open Source Projects | Datadog ) candidates and recipients to select new projects for the program and ensure that the program stays useful
• Research and write content for the [Datadog Open Source Hub] (Open Source Hub )
• Contribute to the product through feedback (bugs or product enhancements suggestions), documentation, or code

Who You Are: 

• Approximately 3+ years of experience as a software developer, SRE, or other practitioner.
• You are fluent in reading and writing one or more languages, e.g. Python, JavaScript, Java, Go, C#, Rust, and so on.
• You love building tools that make other engineers more productive.
• You have empathy, collaboration, and communication skills to cultivate strong relationships across various teams in the organization.
• Bonus: You are (or have been) an active member of an open source community.
• Bonus: You are familiar with different Open Source licenses and Contributor License Agreements 

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: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

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

#LI-Remote

Job Title: Delivery and Success Associate - Enterprise
Employment Status: Full-time
Office Hours: Monday - Friday; hybrid schedule
Location: Boston, Massachusetts
Compensation: $62,000 - $75,000 base + variable + equity options
*compensation may be negotiated based on 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.

The role

As a Delivery and Success Associate - Enterprise, you’ll work closely with customers who rely on Ketryx to manage safety‑critical and regulated development processes. This is a technical, engineering‑adjacent role.

You’ll support customers from onboarding through long‑term partnership, helping configure the Ketryx platform, supporting requirements and quality workflows, and applying structured problem solving to real challenges. You’ll develop a deep understanding of how regulated teams build, verify, and validate software.

This is an excellent opportunity for early‑career engineers or technically trained professionals who want exposure to regulated industries, verification & validation practices, and customer‑facing technical work, while growing alongside a mission‑driven team.

About you

You bring an engineering mindset to your work. You like understanding how systems fit together, why processes exist, and how to improve them. You’re comfortable learning complex concepts and applying structure and logic to ambiguous problems.

You’re excited by the opportunity to work close to engineering, quality, and regulated product development, while also collaborating directly with customers.

You’re curious, detail‑oriented, and motivated by meaningful work that has real‑world impact.

Responsibilities 

• Support Customer Success: Partner with clients during onboarding and ongoing use of the Ketryx platform, helping them apply best practices for requirements, verification, and quality workflows.
• Configure and Support the Platform: Assist with configuring Ketryx to align with customer development processes, including requirements traceability, documentation workflows, and validation artifacts.
• Apply Engineering & Quality Thinking: Help customers reason through leaving evidence, verification activities, and structured development processes commonly used in regulated and safety‑critical environments.
• Troubleshoot and Problem‑Solve: Investigate technical and workflow challenges, escalate thoughtfully when needed, and follow through to resolution.
• Collaborate Cross‑Functionally: Share customer insights with Product, Engineering, and Quality teams to help improve the platform and internal processes.
• Support Quality & Compliance Efforts: Contribute to accurate, well‑structured documentation within the Quality Management System (QMS) and reinforce strong process discipline.
• Grow Your Technical Skill Set: Build fluency in regulated software development concepts such as requirements management, verification & validation (V&V), and the V‑model.

Required Skills

• Technical or Engineering Background: Bachelor’s degree in engineering, computer science, or a related technical field (or equivalent hands‑on technical experience).
• Exposure to Structured Development: Familiarity with concepts such as requirements, verification & validation, testing, systems engineering, or the V‑model (academic or professional exposure is sufficient).
• Interest in Regulated Industries: Curiosity about or comfort working in regulated, safety‑critical environments (medical devices, biotech, pharma, aerospace, automotive, etc.). Prior regulated experience is a plus, not a requirement.
• Technical Communication Skills: Ability to understand and explain technical concepts clearly, both verbally and in writing.
• Analytical Problem‑Solving: Comfort troubleshooting issues, asking good questions, and reasoning through complex workflows.
• Collaborative Mindset: Enjoys working across teams and building trusted relationships with customers and teammates.

Preferred Skills

• Experience in customer success, professional services, or product operations in B2B SaaS.
• Background in quality, regulatory affairs, or systems engineering.
• Familiarity with Software as a Medical Device (SaMD).
• Experience working in an early stage, product-based start up.

Keywords: customer success, client operations, delivery and success, professional services, systems engineer, Solutions Architect, Software as a Medical Device, SaMD, product management, technology, client management, quality, regulatory, system engineer, B2B, regulation, task management, project management, Greater Boston, MA, SQL, KQL, python, java

We're looking for a Software Engineer III to join the Contributory Network team within Data Acquisition - one of ZoomInfo's most strategically important initiatives.

The Contributory Network is building the infrastructure that powers a new generation of intelligence products by ingesting, transforming, and processing first-party data contributed by thousands of customers through their CRM, email, and recording provider integrations.

In this role, you'll build the data pipelines that ingest and transform massive volumes of contributed data, as well as contribute to front-end experiences that give internal teams and customers visibility into the platform. You'll work across the full stack, with a strong emphasis on backend data engineering and a meaningful front-end component.

What You'll Do

• Design and build data pipelines that ingest, validate, and transform first-party data from customer integrations (CRM systems, email providers, recording platforms)
• Develop and maintain ETL/ELT workflows for processing contributed contact information, opportunity metadata, and engagement signals at scale
• Build and enhance front-end interfaces for monitoring, configuration, and data quality dashboards using Angular
• Work with streaming and batch processing technologies to handle real-time and scheduled data flows
• Collaborate closely with product managers to translate business requirements into technical solutions
• Ensure data quality and integrity across the pipeline - from ingestion through enrichment and delivery
• Contribute to observability and monitoring for pipeline health, throughput, and error rates
• Partner with cross-functional teams (Data Quality, Platform, Product) to deliver impactful features

Must-Have Qualifications

Data Engineering

• 3+ years of professional software engineering experience
• Solid experience building and operating data pipelines (ETL/ELT) at scale
• Proficiency in Java
• Experience with data processing frameworks such as Apache Beam, Apache Airflow or Spark
• Hands-on experience with streaming technologies (Kafka, Pub/Sub, or similar)
• Familiarity with cloud platforms, preferably GCP (BigQuery, GKE, Dataflow/DataProc)
• Understanding of data modeling, schema design, and data quality practices

Front-End Development

• Working experience with modern front-end frameworks, ideally Angular
• Ability to build functional, clean UIs for internal tools, dashboards, and configuration screens
• Comfortable working with REST APIs and integrating front-end with backend services

General

• Bachelor's degree in Computer Science, Software Engineering, or a related field
• Strong problem-solving skills and attention to detail
• Ability to find the right balance between perfection and getting the job done
• Effective communicator who works well in a collaborative, cross-functional environment

Nice to Have

• Experience with Kubernetes (GKE/EKS) for distributed workloads
• Familiarity with Snowflake, BigQuery, or similar cloud data warehouses
• Experience with Terraform or infrastructure-as-code tools
• Exposure to data integration patterns involving CRM systems or email/calendar APIs
• Experience in a B2B data company or data-as-a-product environment

Why This Role Matters

The Contributory Network is a cornerstone of ZoomInfo's long-term strategy. By building the data infrastructure that processes first-party contributions from thousands of companies, you'll directly power intelligence products - from competitive benchmarking to buyer committee insights to market timing signals - that no other source in the world can offer.

You'll be joining at a pivotal moment: the initiative is high-visibility, the team is growing, and the opportunity to shape how contributory data flows through ZoomInfo is yours to build.

#LI-AR2

#LI-HYBRID

Responsibilities

We are looking for an experienced Forward Deployed Engineer to join our Forward Deployed Engineering team.. In this role, you will be responsible for designing, developing, and deploying advanced AI agentic solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience, and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.

• Implement agent-based AI solutions using the Workato Agentic AI platform

• Implement intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform

• Implement and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)

• Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows

• Act as a technical solutions expert with strong aptitude for troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform

• Develop and maintain robust, scalable, AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform

• Continuously monitor and improve AI system performance, ensuring efficiency and reliability

• Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation

• Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment

• Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base

• Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise

• Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs

• Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences

Requirements

Qualifications / Experience / Technical Skills

• BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field

• A total of 4+ years of relevant experience in design, development, and implementation.

• 1+ year of experience with Workato or similar workplace orchestration and integration platform, is a must

• Proven experience in AI engineering, with a focus on agent-based systems

• Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations

• Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases

• Experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus. Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus

• Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL

• Hands-on experience with any of the following: Java, Python, or Ruby

• Technical background or a solid understanding of technology and industry trends, especially in the app integration space

• Experience working with cloud business apps like Workday, NetSuite, Salesforce and ServiceNow - Marketo is a plus

• Good knowledge of microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus

Soft Skills / Personal Characteristics

• Strong collaboration skills, ability to adapt to a dynamic start-up environment, with a passion for making an impact

• Strong critical thinking and analytical skills, with an entrepreneurial and proactive mindset

• Ability to effectively prioritize tasks and manage time, even under high-pressure situations

• Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience

• Fast learner who can independently conduct extensive research, and synthesize ideas, information, and options quickly

• Proactive in solving problems and ready to take on additional initiatives and responsibilities as they emerge

For candidates based in California, New York, and Colorado the expected salary range for this role is $70,000–$100,000 not including bonus. Actual compensation will vary based on experience, qualifications, and location. This role may also be eligible for equity and benefits.

Job Req ID: 2615

Responsibilities

We are looking for an experienced Forward Deployed Engineer to join our Forward Deployed Engineering team.. In this role, you will be responsible for designing, developing, and deploying advanced AI agentic solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience, and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.

• Implement agent-based AI solutions using the Workato Agentic AI platform

• Implement intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform

• Implement and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)

• Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows

• Act as a technical solutions expert with strong aptitude for troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform

• Develop and maintain robust, scalable, AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform

• Continuously monitor and improve AI system performance, ensuring efficiency and reliability

• Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation

• Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment

• Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base

• Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise

• Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs

• Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences

Requirements

Qualifications / Experience / Technical Skills

• BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field

• A total of 4+ years of relevant experience in design, development, and implementation.

• 1+ year of experience with Workato or similar workplace orchestration and integration platform, is a must

• Proven experience in AI engineering, with a focus on agent-based systems

• Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations

• Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases

• Experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus. Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus

• Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL

• Hands-on experience with any of the following: Java, Python, or Ruby

• Technical background or a solid understanding of technology and industry trends, especially in the app integration space

• Experience working with cloud business apps like Workday, NetSuite, Salesforce and ServiceNow - Marketo is a plus

• Good knowledge of microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus

Soft Skills / Personal Characteristics

• Strong collaboration skills, ability to adapt to a dynamic start-up environment, with a passion for making an impact

• Strong critical thinking and analytical skills, with an entrepreneurial and proactive mindset

• Ability to effectively prioritize tasks and manage time, even under high-pressure situations

• Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience

• Fast learner who can independently conduct extensive research, and synthesize ideas, information, and options quickly

• Proactive in solving problems and ready to take on additional initiatives and responsibilities as they emerge

For candidates based in California, New York, and Colorado the expected salary range for this role is $70,000–$100,000 not including bonus. Actual compensation will vary based on experience, qualifications, and location. This role may also be eligible for equity and benefits.

Job Req ID: 2614

FEQ327R7

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 team,s 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:

• 7+ 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 Role

Accelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. We're building it. That means designing technology systems that bring order to a fragmented landscape of clinical data sources, automating the operational work that slows trials down, and turning real-world clinical data into a foundation for predictive intelligence.

We're building a uniquely valuable data asset: real-world patient and research data flowing across 80+ trial sites, spanning dozens of EHRs and clinical systems, focused on patient populations that are chronically underserved by existing clinical research infrastructure. Your job is to build the pipelines, data models, and AI infrastructure that make this asset real, from ingestion and normalization through to the systems that power predictions on top of it. You'll own data quality and observability as foundational engineering problems. You'll also have a direct hand in shaping how this data drives our AI strategy, what we model, what we predict, and what becomes possible.

This is an opportunity for someone who wants to be part of a small, fast-moving engineering team at a formative stage. You'll shape what gets built, how decisions get made, and what the team becomes.

Responsibilities

• Own the data layer and architecture:  the models, schemas, and infrastructure decisions that everything downstream depends on
• Build and operate the pipelines and transformations that move data from ingestion through normalization, enrichment, and into the formats that support analytics, ML training, and production model serving
• Own data quality and observability: build the systems that make data issues visible and correctable before they compound
• Partner with ML and engineering teams to identify what's modelable, define training data requirements, and build the data foundations for new predictive capabilities
• Define how clinical and operational data is governed across the system
• Evaluate and select the tools and technologies that make up the data stack, with a clear point of view on build vs. buy
• Help shape the engineering culture of a small, growing team: how technical decisions get made, how problems get debated, what rigor looks like in practice

What We’re Looking For

Required Qualifications

• 10+ years of experience in data engineering or related roles, with significant time spent building data systems
• Experience with healthcare data strongly preferred (HL7, FHIR, claims, EHR extracts) or other complex, regulated data domains
• Deep experience modeling and integrating data from multiple heterogeneous sources with inconsistent schemas and quality
• Experience applying AI and LLMs to data engineering problems: extraction, normalization, classification, entity resolution
• Strong understanding of how data infrastructure supports ML workflows from feature engineering to training data pipelines to model serving
• Fluent in SQL and at least one modern programming language (Python, Java, Scala, Go), with experience across modern data infrastructure - distributed processing, streaming, cloud-native storage, orchestration, and transformation frameworks
• Have built data systems from early stages, making foundational decisions with incomplete information
• Naturally raise the quality of the engineering around you through code review, design guidance, and honest technical conversation

Preferred Qualifications

• Experience building data infrastructure that directly supports ML model training and evaluation
• Familiarity with clinical trial operations, EDC systems, or life sciences data
• SOC 2, HIPAA or similar compliance experience baked into engineering practice
• A track record of building or improving data systems that others had given up on making reliable

Location:  Northeast, US

REQ ID - FEQ327R20

We are looking for pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Sr. Solutions Engineer defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the greater region.

The impact you will have:

• You work with multiple clients as the main technical voice for Databricks.
• You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
• You implement the technical strategy in the account, in close understanding of the strategy.
• You build a movement of technical champions within the account.
• You align technical strategies around Databricks solutions.
• You work with your sales team and technical peers to drive business outcomes for our clients

What we look for:

• Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
• Experience working very large (> $1m ARR), global accounts.
• Form relationships with executives and influencers.
• Present a convincing point-of-view to important decision-makers that leads them down a path of success.
• Technical in big data, data science and cloud (Azure & AWS).
• An ability in data-driven business transformation, and driving change with data.
• Production programming experience in Python, R, Scala or Java
• Nice to have: Databricks, Snowflake, AWS or Azure Certification

Role Summary

Babel Street is building an AI-native, agent-ready, API-first intelligence platform where computer vision, NLP, and document enrichment continuously produce signals about people, places, organizations, and events. The knowledge graph transforms those signals into a coherent, queryable representation of the world.

We are hiring a Knowledge Graph Engineer to help design, build, and operate the entity resolution and graph layer that connects our multimodal pipelines. You will work closely with the Director of Computer Vision and collaborate with ML, platform, and data engineering teams to connect mentions in text, objects in images, locations in geotagged media, and entities in structured sources into a unified graph.

This is a hands-on engineering role where you will contribute to production systems, grow your expertise in graph modeling and entity resolution, and help shape a platform that is still evolving. This will be a hybrid role based out of either our Reston, VA or Somerville, MA office.

Key Responsibilities

• Implement and evolve graph schemas and entity models for people, locations, organizations, images, and events
• Build and maintain entity resolution pipelines that reconcile entities across NLP outputs (GLiNER, spaCy), computer vision outputs (object detection, OCR, face recognition, geolocation), and structured data sources
• Develop ingestion pipelines that write resolved entities into graph systems such as ArangoDB and Spanner Graph or BigQuery Graph
• Contribute to cross-modal linkage between text, images, and geospatial data, including confidence scoring and provenance tracking
• Collaborate with computer vision engineers to integrate visual entity outputs into the graph layer
• Help build graph-backed APIs and services used by downstream products and workflows
• Write tests, contribute to design discussions, and support improvements to data quality and pipeline reliability

Why This Role Matters

The knowledge graph is where Babel Street’s signals become usable intelligence. A detected landmark, a name extracted from text, an organization mentioned online, and a face identified in an image all become more valuable when they resolve to a shared representation of an entity.

In this role, you will help:

• Connect multimodal signals into a unified graph
• Improve the accuracy and consistency of entity resolution
• Enable downstream search, analytics, and agent workflows

Required Qualifications

• 2–5 years of professional software engineering experience (or equivalent experience through internships and projects)
• Proficiency in Python and at least one typed language (Java, Go, C#, or TypeScript)
• Familiarity with at least one graph database or graph processing framework (ArangoDB, Neo4j, TigerGraph, JanusGraph, NetworkX, or similar)
• Solid understanding of SQL and core data modeling concepts (keys, normalization, joins, indexing)
• Ability to work across teams, incorporate feedback, and make steady progress in ambiguous problem spaces

Preferred Qualifications

• Exposure to entity resolution, record linkage, or deduplication
• Familiarity with semantic modeling or schema design (RDF, OWL, property graphs, JSON-LD)
• Experience with cloud platforms such as GCP (Spanner, BigQuery, Cloud Run)
• Interest in computer vision, NLP, geospatial data, or multimodal systems
• Experience testing data pipelines, implementing data quality checks, or working with observability tools
• Exposure to search, ranking, or retrieval-based systems

What Success Looks Like (First Six Months)

• Month 1–2: Ramp up on the graph stack, contribute to existing pipelines, and ship initial changes
• Month 3–4: Take ownership of a component or pipeline with guidance, including testing and documentation
• Month 5–6: Deliver improvements to entity resolution quality, graph ingestion, or cross-modal linkage, and contribute to design discussions

Benefits at Babel Street (just to name a few...)

• Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family!
• Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
• Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
• Holidays: Babel Street provides employees with 12 paid Federal Holidays
• Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.                 

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.

Location(s): US (remote), Boston (hybrid), or New York (hybrid)

Bready* to make a change?

Now, more than ever, the Toast team is committed to our customers. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future.

Who We Are

The Websites team is responsible for advancing and supporting Toast’s website design and hosting product, as well as working closely with the integrated Online Ordering product/team. This group is highly product oriented, with a laser-focus on creating top tier consumer experiences for restaurants and their guests. Our product-line is relatively new but already used by millions of restaurant goers each day, so be prepared to innovate on products at a huge scale while ensuring stability and scalability.

About this roll* (Responsibilities)

In this role, you'll get to work on a wide variety of projects, using your technical chops to influence not just the code, but also product and business strategies. This is a golden opportunity for a hands-on, entrepreneurial engineer who thrives in a modern tech stack environment and loves solving real-world problems through technology. You’ll run experiments, iterate quickly, and have a strong voice in shaping the future of online ordering and Websites here at Toast.  Here’s what you’ll be doing:

• Design, scope, and implement cutting-edge solutions using a mix of technologies.
• Raise the bar to boost quality, performance, usability, and scalability of the Websites product.
• Collaborate closely with Design and Product stakeholders to chase product-market fit.
• Drive discovery of high-impact opportunities with your team and turn them into reality.
• Be an awesome teammate who’s all in on collaboration and collective success.
• Work across teams to ensure that every part of our product ecosystem works seamlessly together to deliver the best possible experience for our customers.

Do you have the right ingredients*? (Requirements)

• 8+ years of experience developing fullstack web applications
• Proficient in backend technologies like Java/Kotlin and Node.JS.
• Skilled with frontend frameworks like React or Angular, and CSS frameworks like Tailwind or Bootstrap.
• Experienced in building on AWS, with tools like Docker and Git.
• Comfortable turning high-fidelity UX designs from Figma into reality.
• Adept at designing databases and architectures that scale and perform well.
• Passionate about writing testable code, with experience in API design and unit/integration testing.
• Thrive in a collaborative, team-based environment where you ship features together.
• Passionate about making users happy and seeing people use your product in the wild.
• Embrace the agile mindset—ship quickly, iterate, and refine.
• Harness AI to supercharge your output and push the boundaries of what our product can do.

AI at Toast

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

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

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

SEAR at Toast focuses on two things: actionable intelligence collection, analysis, and delivery to engineers, and hunting the adversaries who would damage and defraud Toast, its customers, and its partners. We bake security into every layer of our products, from the first sprinkle of an idea to the final serving of a fully-baked solution. Our team is tasked with searching out and degrading the operations of persistent, motivated attackers.

Like master chefs, we blend cutting-edge technology with strategic thinking, implementing bespoke and industry-standard solutions for intelligence processing at scale. By joining SEAR, you'll be part of the kitchen crew that keeps our customers' trust from going stale. You'll tackle complex challenges that have real-world impact, helping to serve up a safer, more secure digital experience for businesses that count on Toast every day. It's not just about pattern-matching  – it's about crafting a recipe for digital trust that keeps our customers coming back for more.

A day in the life (Responsibilities)

• Select, implement, design, and build services and tools to manage and deliver security intelligence across Toast platforms.
• Identify, triage, and provide remediation guidance for application vulnerabilities, with a specific focus on anti-abuse activities.
• Improve developer tooling and adoption to build a more robust SSDLC which integrates security and anti-abuse features.
• Practice a #OneTeam attitude to help other Toast teams make informed, security-conscious decisions when building new public-facing software.
• Assist incident response teams with application security expertise and tools, especially related to abuse and fraud.
• Build threat models on Toast applications and use cases.
• Guide in the design and maintenance of robust and resilient network and application architecture.
• Collaborate to improve information gathering and sharing across all Toast products.
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements)

• Minimum 5+ years of experience in application security and security engineering.
• Experience building and maintaining scaled Java web services in production.
• Experience developing script applications in Python for scheduling and backend data handling.
• Experience leveraging LLM AI features for software development and/or security operations.
• Strong understanding of cloud application architecture.
• Successful history of being a subject matter expert to guide colleagues toward better security outcomes, especially related to abuse, fraud and legal concerns.
• Previous security experience working with fintech applications and associated requirements.
• Strong understanding of privacy, security, and cryptography patterns and when to apply them, especially when handling customer information (such as PKIs, access management, data tokenization, and anonymization).

Special Sauce (Nonessential Skills/Nice to Haves)*

• Offensive security training and certifications (e.g. OSCP, OSWE, OSEP)
• Edge Security solution like WAF, API Security
• Adversary Emulation proficiency (red/purple teaming)
• Cloud and container security technologies
• SSDLC tooling (e.g., SAST/DAST/SCA)
• Scaled data handling in RDBMS, streaming, and columnar stores
• Metrics and charting software proficiency
• Mobile apps/threats (iOS, Android), and their particular abuse vectors
• Knowledge in security of operating systems, networking and protocols
• Securing financial technologies and associated requirements

AI at Toast

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

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

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.

Rockstar Games is on the lookout for a Build Engineer who possesses a passion for automating processes and supporting infrastructure and tools that support the deployment of client-facing software and services. 

This is a full-time, in-office position based out of Rockstar’s game development studio in Andover, Massachusetts. 

WHAT WE DO

• The Rockstar Games Online Services Team is a passionate development group, focused on growing and maintaining the technology platform that powers Rockstar’s online titles and our ability to deliver world-class player experiences. 
• We design and maintain CI/CD pipelines enabling fast, safe, and repeatable software delivery across all environments. 
• Collaborate with development, operations, security and QA teams to support the development and delivery of robust, high-quality software. 

RESPONSIBILITIES

• Continuous integration and deployment of internal tools and externally facing applications to multiple environments. 
• Management and documentation of deployment processes and automation. 
• Environment management to ensure all needs are covered for testing and development. 
• Collaboration with other Rockstar technology teams across our worldwide studios. 

REQUIREMENTS

• 5+ years of configuration management and engineering for web applications, ideally supporting an Agile development process.
• Experience with automated build tools such as TeamCity, Jenkins, or equivalent.
• Experience defining, implementing, or improving continuous integration and deployment processes.
• Programming experience with an OOP language such as C# or Java.
• Automation skills utilizing a scripting language such as PowerShell, Bash, Python, or similar.
• Knowledge of distributed systems architecture and infrastructure.  
• Adept at managing software release and deployment.
• Proficient in supporting multi-platform application development shops.
• Experience with containerization technology (preferably Docker).
• Experience with source control such as GitHub or Perforce.
• Experience with bug-tracking software.

PLUSES

Please note that these are desirable skills and are not required to apply for the position. 

• Experience with branch and merge strategies. 
• Experience with frontend technologies such as React, NextJs, Webpack or similar. 
• Knowledge of SQL. 

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process. 

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. 

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-SD1

Role overview

The DevX Tools team is hiring a Software Development Engineer II. The DevX Tools team is part of Engineering Platform's Developer Experience organization. We are responsible for improving the developer experience through tooling, automation, and centralization of critical information needed by developers across the organization. Our tools — including an Internal Developer Portal and an Automated Slack Messaging Systems are used daily by 280+ engineers and are foundational to how CarGurus ships, discovers, and builds software. 

As a Software Development Engineer II (IC2), you will contribute to building and maintaining the internal platforms and tools that empower every product engineering team at CarGurus. You'll work alongside experienced engineers in a collaborative, hybrid environment and grow your skills across the full stack, from backend services and APIs to cloud-native integrations and agentic automations.

What you'll do

• Design, develop, test, deploy, and operate well-architected software systems that improve the developer experience across CarGurus engineering. 
• Build features for Showroom, our internal developer portal that powers deployments, governance, software catalogs, and self-service workflows. 
• Support initiatives such as jobs replatforming, AI-powered code review tooling, agent-driven provisioning workflows, AI-powered AWS infrastructure provisioning and CI/CD pipeline modernization. 
• Facilitate the modernization of an internal developer portal into an AI-first developer platform, introducing AI-powered tooling to streamline workflows, enhancing the developer experience, and supporting large-scale, multi-repository engineering environments.

What you'll bring

• 2+ years of professional software development experience. 
• Strong foundation in Java and familiarity with object-oriented design, algorithms, and data structures.
• Experience building web applications or backend services, ideally with Spring Boot / Spring Framework. 
• A systematic approach to debugging issues within a service or module, including performance impacts. 
• Understanding of the testing pyramid and experience writing automated tests at multiple levels. 
• Familiarity with AWS services, Kubernetes, infrastructure-as-code practices and CI/CD tooling. 
• Exposure to front-end technologies (JavaScript, React, Remix) for building developer-facing UIs is a plus. 
• Interest in AI-powered developer tool and agentic workflows

About the Role

ZoomInfo is seeking a Senior Data Systems Analyst to become the expert on our company data pipeline—the system that ingests, processes, and profiles millions of company records that power our customers' go-to-market strategies.

In this role, you'll build deep expertise in how our company data flows from acquisition through profiling and output. You'll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure. As you build mastery of our systems, you'll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving.

This isn't about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.

You'll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you'll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.

Who You Are

Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines, ETL systems, or data processing infrastructure—maybe you've improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.

Opinionated Technical Contributor: You don't just execute—you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers. You're comfortable saying "here's what I think and why" based on your technical understanding.

Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You've tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.

Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what's really happening. You dig into details when needed and know when to zoom out to see the bigger picture.

Clear Communicator: You can explain technical complexity to non-technical audiences. You've worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.

Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren't always well-defined. You maintain momentum and quality even when the path forward isn't perfectly clear.

What You'll Do

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Build Deep Pipeline & Systems Expertise

• Master our company data pipeline architecture—how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

Contribute to Pipeline Evolution & Infrastructure Improvements

• Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions
• Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality
• Translate data quality investigations and emerging requirements into system-level improvement opportunities
• Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches

Solve Complex, Ambiguous Data Challenges

• Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving—such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges
• Tackle problems where the solution isn't obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving
• Build and apply repeatable approaches to testing, validation, and root cause analysis

Build Partnerships & Institutional Knowledge

• Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts
• Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes
• Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team
• Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities

What You'll Bring

Required

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure—you understand how data moves through systems and what can go wrong
• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills—able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality—you drive your work forward and know when to seek input

Strongly Preferred

• Experience with company data, business data, web data acquisition, or data quality initiatives
• Experience with data profiling, entity resolution, record linkage, or data matching systems
• Background contributing to system design discussions or technical architecture decisions
• Experience creating technical documentation or knowledge-sharing resources
• Knowledge of web data structures (HTML/DOM), data extraction, or data collection systems
• Experience designing validation strategies or testing frameworks
• Track record of leading or co-leading cross-functional data projects

This Role Is Not a Fit If:

You're looking to focus primarily on business analytics, building dashboards, creating reports, or analyzing business metrics. While you'll do analysis in this role, the core mission is understanding and improving data systems architecture.

This Role Is a Strong Fit If:

You want to become the expert on how data systems work and grow into leading strategic initiatives. You're excited to build deep technical expertise, contribute informed opinions to design decisions, and progressively take on more ownership as you master the domain. You enjoy solving problems where the answer isn't obvious and seeing your work directly improve product capabilities.

#LI-JH1

#LI-Hybrid

As a Principal Engineer on our Advertising, Company Intelligence, and Intent team, you’ll help design and implement the core systems that power our real-time marketing platform. From high-throughput ad infrastructure to large-scale identity resolution and intelligent systems enhanced by LLMs, push the boundaries of scale, intelligence, and speed—and deliver real-world business impact.

You’ll be joining a team with a broad range of ambitious, technically deep projects—from APIs that process tens of billions of events per day, to new buyer intent algorithms powered by LLMs, to a unified B2B identity graph. Depending on your strengths and interests, you’ll be matched to the initiatives where you can have the greatest impact.

This is a high-growth, high-ownership environment operating at the edge of what’s possible in modern software engineering, data infrastructure, and applied AI.

What You’ll Do

• Design and build distributed systems that process, enrich, and respond to billions of behavioral events per day in real time
• Develop high-performance APIs and services that support advertising, identity, and intent features across the Marketing Platform
• Leverage machine learning and large language models (LLMs) to analyze behavioral data, classify content, extract signals, and enable intelligent decision-making
• Build intelligent agents using frameworks like LangGraph or MCP to reason over data and power user-facing insights
• Design and operate data pipelines using tools like Kafka, Kinesis, and ClickHouse to support both streaming and batch workloads
• Drive quality, performance, scalability, and observability across all systems you own
• Collaborate cross-functionally with product managers, data scientists, and engineers to deliver customer-facing features and internal tooling
• Contribute to technical leadership and mentorship of teammates

What We’re Looking For

• 8+ years of backend, data, or infrastructure engineering experience, or equivalent impact and leadership.
  
  
• Strong experience in at least one of the following:
• Distributed systems engineering (e.g., building low latency high and throughput APIs, scalable microservices, event processing pipelines)
• Big data infrastructure (e.g., streaming, warehousing, low-latency storage at scale)
• Applied AI/ML, including use of LLMs for extraction, classification, or reasoning tasks
  
  
• Proficiency in one or more core languages: Java, Go, Python
• Solid grasp of SQL and large-scale data modeling
• Familiarity with databases and tools such as: ClickHouse, DynamoDB, Bigtable, Memcached, Kafka, Kinesis, Firehose, Airflow, Snowflake

AI-Native Development Mindset

• Comfortable using LLMs as part of your development workflow—whether via tools like Copilot, Cursor, ChatGPT, Claude, or others—to boost productivity, explore architecture ideas, and rapidly prototype.
  
  
• Skilled at designing and implementing LLM-powered systems such as RAG pipelines, agent frameworks (e.g., LangGraph), or intelligent workflows that reason across large datasets in real time.

Bonus Points

• Experience in ad tech, real-time bidding (RTB), or programmatic systems
• Background in identity resolution, attribution, or behavioral analytics at scale
• Contributions to open source in ML, infrastructure, or data tooling
• Strong product instincts and a passion for building tools that drive meaningful outcomes

#LI-SK1

#LI-Remote

About the Role

ZoomInfo is seeking a Senior Data Systems Analyst to become the expert on our company data pipeline—the system that ingests, processes, and profiles millions of company records that power our customers' go-to-market strategies.

In this role, you'll build deep expertise in how our company data flows from acquisition through profiling and output. You'll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure. As you build mastery of our systems, you'll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving.

This isn't about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.

You'll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you'll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.

Who You Are

Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines, ETL systems, or data processing infrastructure—maybe you've improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.

Opinionated Technical Contributor: You don't just execute—you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers. You're comfortable saying "here's what I think and why" based on your technical understanding.

Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You've tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.

Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what's really happening. You dig into details when needed and know when to zoom out to see the bigger picture.

Clear Communicator: You can explain technical complexity to non-technical audiences. You've worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.

Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren't always well-defined. You maintain momentum and quality even when the path forward isn't perfectly clear.

What You'll Do

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Build Deep Pipeline & Systems Expertise

• Master our company data pipeline architecture—how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

Contribute to Pipeline Evolution & Infrastructure Improvements

• Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions
• Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality
• Translate data quality investigations and emerging requirements into system-level improvement opportunities
• Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches

Solve Complex, Ambiguous Data Challenges

• Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving—such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges
• Tackle problems where the solution isn't obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving
• Build and apply repeatable approaches to testing, validation, and root cause analysis

Build Partnerships & Institutional Knowledge

• Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts
• Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes
• Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team
• Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities

What You'll Bring

Required

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure—you understand how data moves through systems and what can go wrong
• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills—able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality—you drive your work forward and know when to seek input

Strongly Preferred

• Experience with company data, business data, web data acquisition, or data quality initiatives
• Experience with data profiling, entity resolution, record linkage, or data matching systems
• Background contributing to system design discussions or technical architecture decisions
• Experience creating technical documentation or knowledge-sharing resources
• Knowledge of web data structures (HTML/DOM), data extraction, or data collection systems
• Experience designing validation strategies or testing frameworks
• Track record of leading or co-leading cross-functional data projects

This Role Is Not a Fit If:

You're looking to focus primarily on business analytics, building dashboards, creating reports, or analyzing business metrics. While you'll do analysis in this role, the core mission is understanding and improving data systems architecture.

This Role Is a Strong Fit If:

You want to become the expert on how data systems work and grow into leading strategic initiatives. You're excited to build deep technical expertise, contribute informed opinions to design decisions, and progressively take on more ownership as you master the domain. You enjoy solving problems where the answer isn't obvious and seeing your work directly improve product capabilities.

#LI-JH1

#LI-Hybrid

About the Role

ZoomInfo is seeking a Senior Data Systems Analyst to become the expert on our company data pipeline—the system that ingests, processes, and profiles millions of company records that power our customers' go-to-market strategies.

In this role, you'll build deep expertise in how our company data flows from acquisition through profiling and output. You'll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure. As you build mastery of our systems, you'll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving.

This isn't about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.

You'll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you'll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.

Who You Are

Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines, ETL systems, or data processing infrastructure—maybe you've improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.

Opinionated Technical Contributor: You don't just execute—you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers. You're comfortable saying "here's what I think and why" based on your technical understanding.

Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You've tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.

Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what's really happening. You dig into details when needed and know when to zoom out to see the bigger picture.

Clear Communicator: You can explain technical complexity to non-technical audiences. You've worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.

Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren't always well-defined. You maintain momentum and quality even when the path forward isn't perfectly clear.

What You'll Do

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Build Deep Pipeline & Systems Expertise

• Master our company data pipeline architecture—how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

Contribute to Pipeline Evolution & Infrastructure Improvements

• Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions
• Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality
• Translate data quality investigations and emerging requirements into system-level improvement opportunities
• Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches

Solve Complex, Ambiguous Data Challenges

• Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving—such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges
• Tackle problems where the solution isn't obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving
• Build and apply repeatable approaches to testing, validation, and root cause analysis

Build Partnerships & Institutional Knowledge

• Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts
• Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes
• Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team
• Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities

What You'll Bring

Required

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure—you understand how data moves through systems and what can go wrong
• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills—able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality—you drive your work forward and know when to seek input

Strongly Preferred

• Experience with company data, business data, web data acquisition, or data quality initiatives
• Experience with data profiling, entity resolution, record linkage, or data matching systems
• Background contributing to system design discussions or technical architecture decisions
• Experience creating technical documentation or knowledge-sharing resources
• Knowledge of web data structures (HTML/DOM), data extraction, or data collection systems
• Experience designing validation strategies or testing frameworks
• Track record of leading or co-leading cross-functional data projects

This Role Is Not a Fit If:

You're looking to focus primarily on business analytics, building dashboards, creating reports, or analyzing business metrics. While you'll do analysis in this role, the core mission is understanding and improving data systems architecture.

This Role Is a Strong Fit If:

You want to become the expert on how data systems work and grow into leading strategic initiatives. You're excited to build deep technical expertise, contribute informed opinions to design decisions, and progressively take on more ownership as you master the domain. You enjoy solving problems where the answer isn't obvious and seeing your work directly improve product capabilities.

#LI-JH1

#LI-Hybrid

About the Role

ZoomInfo is seeking a Senior Data Systems Analyst to become the expert on our company data pipeline—the system that ingests, processes, and profiles millions of company records that power our customers' go-to-market strategies.

In this role, you'll build deep expertise in how our company data flows from acquisition through profiling and output. You'll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure. As you build mastery of our systems, you'll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving.

This isn't about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.

You'll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you'll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.

Who You Are

Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines, ETL systems, or data processing infrastructure—maybe you've improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.

Opinionated Technical Contributor: You don't just execute—you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers. You're comfortable saying "here's what I think and why" based on your technical understanding.

Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You've tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.

Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what's really happening. You dig into details when needed and know when to zoom out to see the bigger picture.

Clear Communicator: You can explain technical complexity to non-technical audiences. You've worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.

Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren't always well-defined. You maintain momentum and quality even when the path forward isn't perfectly clear.

What You'll Do

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Build Deep Pipeline & Systems Expertise

• Master our company data pipeline architecture—how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

Contribute to Pipeline Evolution & Infrastructure Improvements

• Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions
• Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality
• Translate data quality investigations and emerging requirements into system-level improvement opportunities
• Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches

Solve Complex, Ambiguous Data Challenges

• Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving—such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges
• Tackle problems where the solution isn't obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving
• Build and apply repeatable approaches to testing, validation, and root cause analysis

Build Partnerships & Institutional Knowledge

• Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts
• Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes
• Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team
• Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities

What You'll Bring

Required

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure—you understand how data moves through systems and what can go wrong
• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills—able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality—you drive your work forward and know when to seek input

Strongly Preferred

• Experience with company data, business data, web data acquisition, or data quality initiatives
• Experience with data profiling, entity resolution, record linkage, or data matching systems
• Background contributing to system design discussions or technical architecture decisions
• Experience creating technical documentation or knowledge-sharing resources
• Knowledge of web data structures (HTML/DOM), data extraction, or data collection systems
• Experience designing validation strategies or testing frameworks
• Track record of leading or co-leading cross-functional data projects

This Role Is Not a Fit If:

You're looking to focus primarily on business analytics, building dashboards, creating reports, or analyzing business metrics. While you'll do analysis in this role, the core mission is understanding and improving data systems architecture.

This Role Is a Strong Fit If:

You want to become the expert on how data systems work and grow into leading strategic initiatives. You're excited to build deep technical expertise, contribute informed opinions to design decisions, and progressively take on more ownership as you master the domain. You enjoy solving problems where the answer isn't obvious and seeing your work directly improve product capabilities.

#LI-JH1

#LI-Hybrid

About the Role

ZoomInfo is seeking a Senior Data Systems Analyst to become the expert on our company data pipeline—the system that ingests, processes, and profiles millions of company records that power our customers' go-to-market strategies.

In this role, you'll build deep expertise in how our company data flows from acquisition through profiling and output. You'll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure. As you build mastery of our systems, you'll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving.

This isn't about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.

You'll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you'll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.

Who You Are

Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines, ETL systems, or data processing infrastructure—maybe you've improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.

Opinionated Technical Contributor: You don't just execute—you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers. You're comfortable saying "here's what I think and why" based on your technical understanding.

Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You've tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.

Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what's really happening. You dig into details when needed and know when to zoom out to see the bigger picture.

Clear Communicator: You can explain technical complexity to non-technical audiences. You've worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.

Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren't always well-defined. You maintain momentum and quality even when the path forward isn't perfectly clear.

What You'll Do

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Build Deep Pipeline & Systems Expertise

• Master our company data pipeline architecture—how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

Contribute to Pipeline Evolution & Infrastructure Improvements

• Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions
• Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality
• Translate data quality investigations and emerging requirements into system-level improvement opportunities
• Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches

Solve Complex, Ambiguous Data Challenges

• Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving—such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges
• Tackle problems where the solution isn't obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving
• Build and apply repeatable approaches to testing, validation, and root cause analysis

Build Partnerships & Institutional Knowledge

• Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts
• Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes
• Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team
• Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities

What You'll Bring

Required

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure—you understand how data moves through systems and what can go wrong
• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills—able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality—you drive your work forward and know when to seek input

Strongly Preferred

• Experience with company data, business data, web data acquisition, or data quality initiatives
• Experience with data profiling, entity resolution, record linkage, or data matching systems
• Background contributing to system design discussions or technical architecture decisions
• Experience creating technical documentation or knowledge-sharing resources
• Knowledge of web data structures (HTML/DOM), data extraction, or data collection systems
• Experience designing validation strategies or testing frameworks
• Track record of leading or co-leading cross-functional data projects

This Role Is Not a Fit If:

You're looking to focus primarily on business analytics, building dashboards, creating reports, or analyzing business metrics. While you'll do analysis in this role, the core mission is understanding and improving data systems architecture.

This Role Is a Strong Fit If:

You want to become the expert on how data systems work and grow into leading strategic initiatives. You're excited to build deep technical expertise, contribute informed opinions to design decisions, and progressively take on more ownership as you master the domain. You enjoy solving problems where the answer isn't obvious and seeing your work directly improve product capabilities.

#LI-JH1

#LI-Hybrid

We're looking for a Senior Software Engineer to join the Contributory Network team within Data Acquisition - one of ZoomInfo's most strategically important initiatives.

The Contributory Network is building the platform that ingests, transforms, and processes first-party data contributed by thousands of customers through their CRM, email, and recording provider integrations. This data powers a suite of intelligence products - from competitive benchmarking and buyer committee insights to predictive market timing - that are impossible to build any other way.

This role demands a driver. We need someone who takes ownership, pushes through ambiguity, unblocks themselves and others, and relentlessly moves work forward. You won't wait for perfect specs or complete clarity - you'll carve the path, make decisions, and deliver. If you thrive when given a hard problem and the autonomy to solve it, this is your role.

What You'll Do

• Own and drive the design and implementation of large-scale data pipelines that ingest, validate, transform, and enrich first-party contributed data from CRM systems, email providers, and recording platforms
• Architect resilient ETL/ELT pipelines handling massive volumes of contact data, opportunity metadata, engagement signals, and activity patterns
• Take initiative on complex technical challenges - identify problems proactively, propose solutions, and execute with urgency
• Build streaming and batch processing systems for real-time and scheduled data flows using Kafka, Pub/Sub, Apache Beam, or similar
• Establish data quality frameworks, ensuring accuracy, consistency, and completeness across contributed data
• Define and implement observability, monitoring, and alerting for pipeline health, throughput, cost, and data quality metrics
• Drive technical design decisions and guide implementations from concept to production
• Mentor and elevate other engineers on the team through code reviews, pairing, and knowledge sharing
• Partner with product, platform, and data science teams to deliver high-impact features on tight timelines
• Influence technical direction across the Contributory Network initiative and the broader Data Acquisition organization

Must-Have Qualifications

Data Engineering & Pipelines

• 5+ years of professional software engineering experience with a strong focus on data engineering
• Proven track record of building and operating production data pipelines at scale
• Deep experience with Python and/or Java
• Hands-on expertise with data processing technologies: Apache Beam, Apache Airflow, Spark, Google Dataflow, or DataProc
• Strong experience with streaming systems (Apache Kafka, Google Pub/Sub, or similar)
• Experience with cloud platforms, preferably GCP (BigQuery, GKE, Dataflow)
• Solid understanding of data modeling, schema evolution, and data quality management
• Experience designing and operating large-scale ETL/ELT pipelines processing terabytes of data

Technical Leadership & Drive

• Demonstrated ability to drive complex technical initiatives end to end - from scoping through delivery
• Track record of operating with high autonomy and a bias toward action
• Ability to push through ambiguity, make pragmatic decisions under uncertainty, and unblock progress
• Experience influencing technical direction within a team or across teams
• Strong code review and technical mentorship skills
• Proven ability to balance quality with velocity - you ship, iterate, and improve

General

• Bachelor's degree in Computer Science, Software Engineering, or a related field
• Exceptional interpersonal skills with a proven ability to build productive cross-departmental relationships
• Strong communicator who can explain complex systems to diverse audiences
• Entrepreneurial mindset - comfortable pioneering new capabilities and wearing multiple hats

Nice to Have

• Experience with Kubernetes (GKE/EKS) for running distributed workloads
• Familiarity with multi-cloud environments (GCP + AWS)
• Experience with Snowflake, BigQuery, Starburst/Trino, or similar query engines
• Experience with Terraform or infrastructure-as-code
• Knowledge of data integration patterns with CRM systems, email providers, or recording platforms
• Exposure to AI/LLM-based data processing approaches
• Experience in a B2B data company or data-as-a-product environment
• Experience with Apache Spark at expert level

What Sets This Role Apart

This isn't a role where you maintain existing systems and wait for tickets. The Contributory Network is a greenfield strategic initiative - you'll be building foundational infrastructure that directly powers intelligence products worth six figures from consulting firms, products that literally cannot exist without the data platform you build.

We need someone who goes through walls, not around them. Someone who sees a blocker and finds a way. Someone whose default mode is action, not analysis paralysis.

Why This Role Matters

The Contributory Network is ZoomInfo's strategic moat. It's how we pull away from competitors permanently by harnessing first-party data from thousands of companies to create intelligence no other source can offer. The data pipelines you build will power performance benchmarking, buyer committee intelligence, market timing signals, verified intent scoring, and fraud prevention - all at scale.

You'll be joining at a pivotal moment: the initiative is high-visibility, the team is growing, and the opportunity to define how contributory data acquisition is done at ZoomInfo is yours to shape.

#LI-AR2

#LI-Hybrid

About the Role:

We are seeking an experienced  Software Engineer III (Data) to join our fast-paced, collaborative data team. In this role, you will have broad authority to drive the direction of our technographic data services, building world-class data pipelines and systems to process billions of signals and data points. This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

What You'll Do:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure.

What We're Looking For:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights.

Ideal Background:

• 5+ years of experience in software engineering roles.
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organizations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field.

#LI-SK1

#LI-Hybrid

CarGurus is seeking a Senior DevOps Engineer to join our Cloud Infrastructure team. This team is responsible for providing a reliable, secure, and consumable AWS based platform for revenue-generating applications and the product engineering teams behind them.

In this role you will be a key owner of the cloud platforms that power our global automotive marketplace, and you will help build opinionated, self-service infrastructure that lets engineers ship fast, safely, and with confidence. We are looking for a resourceful, curious individual who is energized by the prospect of designing thoughtful, scalable platforms that are essential to engineers across the entire company.

Role overview

Our team is responsible for designing and operating the core cloud infrastructure at CarGurus. This includes managing domains such as governance, cost attribution, networking, serverless workloads, and OS configuration/orchestration. We also handle CarGurus' edge infrastructure (registrars, DNS, CDN) and maintain essential shared engineering systems like GitHub, Artifactory, and Rundeck, which are critical for how our engineers build, deploy, and operate services.

What you'll do

• Platform Development & Evolution: Design, build, and operate CarGurus' production infrastructure in collaboration with support and build/delivery platform teams. Evolve compute, storage, and data platforms on AWS (e.g., S3, EC2, EKS, ELB, Route53, IAM).
• Automation & Infrastructure-as-Code (IaC): Drive IaC and automation practices (Terraform, Chef, Git, GitHub Actions, Concourse) to ensure secure, repeatable lifecycle operations.
• Cloud Governance: Shape and implement cloud governance, tagging, and reporting standards to support resource attribution and ownership.
• Networking & Edge Operations: Design and operate cloud networking, data protection mechanisms, and edge access components (Fastly CDN, Route53, HAProxy, Datadome).
• Self-Service & Developer Workflow: Utilize, support and enhance self-service platform offerings using AWS, AI and IaC patterns via Terraform. 
• Shared Tools Ownership: Own and improve shared production tools and platforms such as Rundeck, GitHub, and Artifactory.
• Incident Management: Participate in incident response and on-call rotation.
• Mentorship & Documentation: Create and maintain documentation to facilitate the adoption and operation of platform services.
• Innovation: Utilize AI-assisted design and internal tools to explore new architectures, validate trade-offs, and accelerate the design and evolution of platform services and infrastructure.
• Agile Practices: Participate in the team's agile workflow and ceremonies.

What you'll bring

• Cloud Infrastructure & Operations: Deep experience operating production workloads in public/private cloud environments, utilizing role-based security, APIs, and production telemetry (metrics, logs, alerts) to enhance reliability and performance.
• Infrastructure as Code & CI/CD: Extensive background with infrastructure as code, configuration management, and CI/CD pipelines such as Terraform, Chef, Ansible, Puppet, GitHub Actions, or similar.
• Linux/Unix & Programming: Strong, hands-on Linux/Unix experience and proficiency in at least one high-level programming language such as  Python, Ruby, Go or similar.
• Container/Orchestration: Experience with container or VM orchestration platforms such as Kubernetes/Helm/EKS, OpenShift, VMware, or similar.
• Networking & Security: Solid understanding of IP network routing, DNS, load balancing, security, and edge/CDN concepts.
• Web Application Familiarity: Familiarity with large-scale Java web application development and production operations, or similar high-volume environments.

Core Competencies

• Ownership & Communication: Proven ability to manage projects and communicate clearly and effectively with stakeholders.
• Partnership with Stakeholders: Proactive approach to partnering with cross-functional stakeholders to align infrastructure strategy with business goals and drive shared outcomes.
• Problem-Solving: Self-starter mindset with strong curiosity and a hands-on bias for problem-solving. Willingness to take calculated risks to deliver elegant solutions.
• Decision Making: Comfortable navigating ambiguity to uncover root drivers and making practical, well-reasoned design decisions.

Role overview

The DevX Pipelines & Automation team is hiring a Principal Software Engineer. The team plays a crucial role in enabling faster time-to-market while maintaining high quality. This position involves contributing to the continuous modernization of the platform, with a focus on self-service pipelines and ephemeral environments. The ideal candidate is passionate about Continuous Delivery and platform development, with a strong background in supporting complex software systems and an eagerness to drive efficiency in software delivery processes.

What you'll do

• Develop and enhance CarGurus' Pipeline-as-a-Service utilizing Go and Java.
• Expand the development environment infrastructure to provide ephemeral, hermetic environments.
• Scale the production CI/CD infrastructure to accommodate future demands.
• Manage and enforce governance strategies that promote environmental parity across services and artifacts and ensure high quality.

What you'll bring

• 8+ years of experience as a professional Software Engineer, including 3+ years serving as a technical lead or principal engineer working with Golang, Java or similar languages
• Proficiency with containerization and cloud environments.
• Knowledge in configuration management for distributed systems across multiple environments.
• Outstanding written and verbal communication abilities, with a demonstrated talent for translating technical concepts for both engineering and business audiences.
• Consistent record of being self-motivated, resourceful, and proactive in driving projects and business goals.
• A high-level understanding of Java, Python, or Bash/Unix scripting.
• Familiarity with CI/CD operations, tooling, continuous deployment, and related technologies in a Kubernetes environment.
• An aptitude for leveraging AI tools such as Windsurf, Cursor, or similar to enhance software development and operational efficiency.

Role overview

CarGurus' Dealer Competitive 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 Dealer Competitive Intelligence 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.

Role overview

The Developer Experience (DevX) Architecture team at CarGurus is looking for an Engineering Manager to lead a team focused on accelerating developer productivity and delivering architectural improvements for CarGurus Engineering.  The results of your work will impact hundreds of engineers across dozens of product teams on a daily basis.

You and your team will take on complex, cross-cutting projects: defining new templates and processes, re-architecting core components, integrating new libraries and frameworks, improving backend performance, and building AI-powered developer tools that give CarGurus engineers a faster and better experience. To succeed in this role, you’ll partner closely with engineers and leaders across many teams, learn and adapt quickly, and translate ambiguous problems into clear, high-impact initiatives. You will own your projects end-to-end, lead a team of talented engineers, and collaborate with fellow engineering managers and product partners to solve interesting problems with broad scope.

What you’ll do

• Lead and grow a high-performing DevX engineering team, providing coaching, feedback, and clear expectations.
• Set and communicate architectural direction for developer experience, in partnership with Staff/Principal engineers and other platform teams. 
• Own a roadmap of technical investments: propose ideas, shape scope, provide estimates, measure, and sequence work to maximize impact on engineering effectiveness. 
• Partner across the organization with engineers, managers, and product to deeply understand their pain points and design pragmatic solutions that scale. 
• Drive predictable delivery by breaking down ambiguous problems into small, testable increments and releasing value iteratively. 
• Lead the full software development lifecycle for your team’s services and tools: design, implementation, testing, deployment, monitoring, and continuous improvement, with a strong emphasis on clean, well-tested, and efficient code. 
• Identify high leverage/ROI opportunities for AI-assisted development (code assistants, test generation, internal agents), partner with security and compliance to define guardrails, and integrate these capabilities into our SDLC
• Use technologies like Java, Spring Boot, AWS, Kubernetes, and AI-assisted development tools to improve our core architecture and platforms. 
• Advance and champion engineering best practices (reliability, observability, performance, and security) and help teams adopt them through patterns, templates, and guidance. 
• Strategically invest in critical platform areas, such as authentication and other shared services, to reduce risk and unlock faster delivery for product teams. 

What you’ll bring

• 5+ years of hands-on software design and development experience building and operating production systems. 
• 3+ years in an Engineering Manager or equivalent technical leadership role, leading teams that ship software in production. 
• Experience building and operating large-scale, performant web applications, and familiarity with modern technologies and patterns that enable them (distributed systems, microservices, cloud-native architectures, observability, etc.). 
• Hands-on experience with modern strongly typed backend languages (Java, C#, etc) and cloud platforms (AWS, GCP, etc)
• Hands-on experience with modern AI tools (e.g., code assistants, test generation, or internal agents) and a perspective on how to responsibly apply them to improve developer experience.
• Strong project management and collaboration skills, including experience working across multiple teams and stakeholders in an iterative, agile environment.
• A people-focused technical leader with high emotional intelligence, who can motivate, coach, and develop engineers at different levels. 
• A clear, adaptable communicator who can tailor your message for audiences ranging from junior engineers to senior business leaders and third-party vendors. 
• A curious, growth-oriented mindset—you enjoy learning new domains, experimenting with new tools, and continually expanding your capabilities. 
• Bachelor’s degree in Computer Science or equivalent practical experience.

Role overview

CarGurus' Dealer Competitive Intelligence team is seeking a Software Engineer II (Full Stack) to drive the next generation of analytics, data products, and dealer-facing experiences. This role offers a wide array of opportunities to work across the stack as we build a new dealer-facing product from the ground up. To succeed in this role, you must be able to learn and adapt quickly while collaborating effectively with a cross-functional team.

What you'll do

• Develop and deploy clean, well-tested and efficient code, ensuring high standards of architecture, quality and performance
• Provide support and improvements to core systems while maintaining high standards for internal stakeholder teams 
• Collaborate with cross-functional teams, including data analysts and product managers, to guide projects from concept through technical design, implementation, quality testing, and performance measurement

What you'll bring

• 2-4 years of hands-on software development experience in a professional setting
• Proficiency in React and Javascript fundamentals
• Proficiency in Java, SQL
• Proficiency in AWS / AWS Certification preferred
• Experience or interest in leveraging AI coding tools
• Practical knowledge of distributed systems and microservice architecture design
• A strong understanding of data structures, algorithms and complexity analysis
• The ability to iterate and ship ideas quickly and independently
• Demonstrates curiosity and a passion for learning new technologies and concepts quickly

Role overview

We are hiring for a backend engineer in our Consumer organization to drive our consumer-facing experiences forward. Consumer is the core functionality of our business that consumers see and use. We build features and develop solutions to drive our consumer-facing experiences forward.

The Consumer Mobile App team is rebuilding and reimagining our entire user experience to help our customers find the perfect car for them, at a fair price. You will have the opportunity to realize this vision, building out mobile-focused features to make our app fast, responsive, and flexible. You will be building net-new features for our most engaged audience.

What you'll do

• Collaborate with fellow engineers, designers, product managers, and analysts to take an idea from concept to technical design to implementation to testing to measurement
• Drive impact forward. This could be anything from implementing a new full consumer facing feature, to integrating with a key partner or technology
• Be deeply engaged in the full development lifecycle designing, developing, testing, deploying, maintaining, monitoring and improving software
• Investigate, identify, and implement API performance enhancements
• Advocate for new technology and new methodologies
• Continuously learn and expand your capabilities

What you'll bring

• 2-5 years of hands-on software design and development experience
• Expert in OOP (Java required), ideally in fast paced environments
• Solid experience in the data layer including SQL, caching strategies, and storage alternatives
• A strong understanding of data structures, algorithms and complexity analysis
• Experience working with web tier technologies and strategies
• Experience working in cross-functional teams with front-end engineers, Product, and UX
• The ability to iterate and ship ideas quickly
• Experience with A/B testing and/or performance testing
• Experience with AWS
• Bachelor’s degree in Computer Science or Computer Engineering

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.

Rockstar Games is seeking a Senior Software Engineer in Data Engineering to join a team focused on building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience in our games.   

The ideal candidate will be skilled in developing complex ingestion and transformation processes with an emphasis on reliability and performance. In collaboration with Data Engineers, Machine Learning Engineers, and other Software Engineers, the candidate will empower the team of Analysts and Data Scientists to deliver data driven insights and applications to company stakeholders.  

This is a full-time, in-office position based out of Rockstar’s newly renovated game development studio in Andover, MA.

WHAT WE DO

• The Rockstar Games Online Services team builds the technology foundation that powers our games and delivers world-class player experiences.  
• Our Data Engineering group manages petabyte-scale data, integrating dozens of streaming and batch sources with strict requirements for reliability, compliance, and low-latency processing. 
• We approach data engineering with the rigor of software engineering by applying modern practices such as clean architecture, modular design, and automated testing. Our focus is on building scalable, reusable platforms and frameworks that enable our partners in Data Science and Game Development to deliver insights and unlock new possibilities for players. 

RESPONSIBILITIES

• Design, build, and maintain high-throughput streaming and batch data processing services, with a primary focus on raw and bronze-level ingestion. 
• Develop and operate stream–based applications responsible for real-time data transformation, enrichment, validation, and routing. 
• Own and evolve event schemas and data contracts, including Avro schemas and Schema Registry governance. 
• Ensure scalability, fault tolerance, and performance of streaming and ingestion pipelines under heavy load. 
• Contribute to platform-level concerns such as deployment automation, observability, operational tooling, and CI/CD. 
• Participate in the design and implementation of cloud-native data infrastructure supporting real-time and batch workloads. 

REQUIREMENTS

• 5+ years of professional experience building production software systems, preferably in a distributed or data-intensive environment. 
• Strong experience with Java (and/or Scala) as well as Python, in backend or data processing applications. 
• Experience designing and operating streaming systems using Kafka or Kafka Streams (or similar). 
• Experience working with event-driven architectures, including schema evolution and compatibility. 
• Experience building real-time and/or near-real-time data pipelines at scale. 
• Solid understanding of distributed systems concepts (partitioning, fault tolerance, backpressure, exactly-once/at-least-once semantics). 
• Familiarity with Avro, Protobuf, or similar serialization formats and schema governance practices. 

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Experience with Databricks, particularly for ingestion, bronze-layer processing, or structured streaming. 
• Experience deploying and scaling applications in containerized environments (e.g., Kubernetes, AKS). 
• Experience working with artifact repositories (e.g., Artifactory, ProGet, Maven repositories). 
• Experience with Infrastructure-as-Code (e.g., Terraform, Databricks Asset Bundles). 
• Familiarity with the Microsoft Azure cloud ecosystem. 
• Familiarity with Apache Spark. 
• Familiarity with CI/CD pipelines, automated testing, and deployment workflows. 

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.                             

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-BB1

How you will make an impact:

Engineering at Iterable is responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive to non-technical users is extremely important. Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

One of our core values is Growth Mindset and Iterable is a company where everyone can continuously learn. If this is an idea that excites you, please do apply as we value applicants for the skills they bring beyond a job description

Team Description? 

How you will make a difference:

As a Senior Software Engineer working on the User Data Infrastructure team, you will:

• Design and develop software for a highly scalable and reliable multi-tenant system
• Architect and develop solutions to scale a complex platform that reaches millions of users
• Enhance observability of data at ingestion, query, and storage layers
• Improve automation of our Elasticsearch cluster management system

We are looking for people who have :

• Relevant industry experience building production-ready, scalable applications
• Proficiency  in at least one programming language (ideally Scala and/or Java)
• Experience with Elasticsearch
• Experience with NoSQL and SQL databases  
• Passion for learning -- always improving yourself and the team around you

Our Technology Stack:

• Programming Language: Scala, Java
• Databases: Elasticsearch, Postgres, Redis
• Infrastructure: Kafka, AWS, Pulsar
• Other Relevant Technologies: Docker / Kubernetes

Bonus Points

• Experience working with large code base
• Experience with functional programming and the JVM

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

FEQ427R309

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 team,s 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:

• 6+ 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.)

FEQ227R259

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 team,s 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:

• 8+ 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.)

FEQ227R228

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 team,s 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:

• 3+ 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.)

FEQ227R119

As a Specialist Solutions Architect (SSA) - Data Warehousing, you will guide customers in their cloud data warehousing transformation with Databricks which span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with large-scale data warehousing technologies and lakehouse architecture. SSAs help customers through evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap for the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in the data warehousing specialty - including performance tuning, data modeling, winning evaluations, architecture design, and production migration planning.

The impact you will have:

• Provide technical leadership to guide strategic customers to successful cloud transformations on large-scale data warehousing workloads - ranging from evaluation to architecture design to production deployment
• Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization
• Become a technical expert in an area such as data warehousing evaluations or helping set up successful workload migrations
• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production
• Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
• Contribute to the Databricks Community

What we look for:

• 5+ years experience in a technical role with expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, data governance, debugging MPP data warehouses or other big data solutions, or migration workloads from EDWother systems
• Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics, NoSQL, MPP, OLTP, and OLAP
• Deep Specialty Expertise in at least one of the following areas:
• Experience scaling large analytical data workloads in the cloud that are performant and cost-effective
• Maintained, extended, or migrated a production data warehouse system to evolve with complex needs, including data modeling, data governance needs, and integration with business intelligence tools
• Experience migrating on-premise EDW workloads to the public cloud
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Production programming experience in SQL and Python, Scala, or Java
• Experience with the AWS, Azure, or GCP clouds
• 2 years professional experience with data warehousing and big data technologies (Ex: SQL, Redshift, SAP, Synapse, EMR, OLAP & OLTP workloads)
• 2 years customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes within 6 months of hire
• Can travel up to 30% when needed

FEQ127R13

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 team,s 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:

• 10+ 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.)

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

About Toast

At Toast, we're building the restaurant platform that helps restaurants adapt, take control, and thrive. The Customer Success (CS) organization plays a pivotal role in helping customers get the most out of our products and we're transforming our data capabilities to drive a new era of proactive, data-informed customer engagement. 

The CS Data & Analytics team is at the center of this transformation, building the data infrastructure that makes proactive, data-informed customer engagement possible at scale for ~150,000 restaurant locations.

Role Overview

You'll be a founding member of a newly chartered data engineering function within Customer Success with a direct hand in shaping the architecture, tooling, domain model, and team culture from day one. This is a rare opportunity to build something from greenfield, with visibility to VP and senior CS leadership.

As a Data Engineer on the Customer Success Data & Analytics team, you’ll design, build, and scale the data platforms and pipelines that power insights across our Customer Success organization. Reporting to the Director of Data Infrastructure & Engineering, you’ll work closely with Data Infrastructure, Analytics, Engineering, and Product teams to ensure high-quality, reliable data is accessible and actionable.

This is a hands-on engineering role focused on delivering production-grade, scalable, and reliable data systems that support analytics, reporting, and operational decision-making across Customer Success.

A day in the life (Responsibilities) 

• Design, build, and maintain scalable, production-ready data pipelines (batch and real-time) for Customer Success using modern data technologies.
• Develop and evolve data models and schemas that enable reporting, analytics, and machine learning across Customer Success functions.
• Partner with CS operations leaders across care, workforce, and CX to translate business requirements into pipeline and infrastructure priorities, ensuring data work is directly connected to customer retention and operational outcomes.
• Ensure data quality, observability, lineage, and governance are built into every data workflow.
• Implement best practices for cost-efficient, performant cloud-based data infrastructure.
• Contribute to data platform tooling and frameworks that support self-service analytics and reusability across teams.
• Actively monitor and optimize data workflows for reliability, scale, and maintainability.
• Collaborate with cross-functional stakeholders to define and track key metrics and ensure consistent data definitions.
• Participate in code reviews, design discussions, and technical architecture planning to continually raise engineering standards.
• Build and maintain semantic and metrics layer foundations (e.g., dbt metrics, Snowflake semantic layer) that enable consistent, reusable definitions of CS KPIs across reporting and analytics surfaces.
• Contribute to the design and evolution of the CS data domain model including Customer 360, omnichannel interaction data, case management, and agent performance in close partnership with cross-functional stakeholders.
  
  

Governance & Standards

Partner with Toast's Business, Technology & Transformation (BTT) organization to establish data governance practices, security policies, and architecture standards that will serve as the foundation for CS data infrastructure. As a founding team member, you'll help define the norms, not just follow them.

• Ensure data pipelines, storage, and access patterns adhere to BTT data standards, security policies, and compliance requirements.
• Partner with BTT governance forums to align on design patterns, data architecture decisions, and SLA expectations.
• Maintain documentation and metadata for all data assets in accordance with established governance processes.
  
  

What you'll need to thrive (Requirements)

• 5+ years of experience in data engineering, software engineering, or a related role building and maintaining data systems in production.
• Strong SQL skills and experience with a programming language such as Python, Scala, or Java.
• Hands-on experience with cloud-based data platforms (AWS, GCP, or Azure).
• Experience building and optimizing ETL/ELT workflows using tools such as Airflow, dbt, or similar orchestration frameworks.
• Deep understanding of data modeling, data warehousing, and pipeline design.
• Ability to write clean, maintainable, and well-tested code for data transformations and automation.
• Demonstrated ability to communicate technical tradeoffs and data concepts clearly to non-technical stakeholders, including operations and business leaders.
• Proven ability to work collaboratively with analytics, operations, and engineering teams.
• Strong problem-solving skills, attention to detail, and a drive to build scalable, reliable systems.
  
  

What will help you stand out (Non-essential Skills/Nice to Haves)

• Experience building and optimizing data systems that operate at significant scale, managing billions of records across multiple data domains and systems, with the foresight to design for 5-year growth and future platform scale.
• Comfort using AI-assisted development tools (e.g., GitHub Copilot, Claude, Snowflake Cortex AI) to accelerate pipeline development, testing, and documentation and curiosity about how GenAI can enhance data product quality.
• Experience with real-time data streaming (Kafka, Kinesis, or Pub/Sub).
• Familiarity with modern data warehouse/lakehouse technologies (e.g., Snowflake, BigQuery, Redshift, Delta Lake).
• Experience with CI/CD, infrastructure as code, or containerization (e.g., Docker, Terraform).
• Exposure to data governance, metadata management, and observability tools.
• Background in SaaS or Customer Success analytics (usage data, retention metrics, customer health).
• Experience working with CS or CX-adjacent source systems such as Salesforce, Five9, Intercom, or similar CCaaS/CRM platforms and familiarity with the data models and integration patterns they produce.
• Knowledge of data security, privacy, and compliance in cloud environments.

AI at Toast

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

Our Total Rewards Philosophy

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

How you will make an impact:

As a Software Engineer II at Iterable, you'll independently develop, maintain, and deliver moderate-complexity projects on your team. You'll be working with the Delivery team which builds and maintains the pipeline responsible to getting messages to end users on time. Ultimately, we help enable our customers to provide relevant, timely, and joyful experiences to their own users.

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You are recognized as a subject matter expert in a particular focus area and consistently demonstrate high-quality, on-time delivery. You take ownership of the full lifecycle of your code — from design through production monitoring and maintenance. One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You'll get to:

• Execute on core work with minimal guidance in a way that increases team velocity while maintaining high quality
• Break down projects into milestones, provide accurate cost estimates, and proactively keep stakeholders informed
• Architect and develop solutions on a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Write well-structured, maintainable, documented, and tested code with an eye toward future reuse and modularization
• Diagnose and fix tricky bugs, prevent incidents through appropriate testing, and maintain a track record of drama-free deploys
• Provide in-depth code reviews and contribute to design reviews with respectful, effective communication
• Recognize potential scalability issues, bring them to the Architecture Support Group (ASG), and participate in remediation
• Collaborate actively to unblock teammates, give and receive hard feedback with respect and empathy, and solicit input from people of diverse backgrounds
• Participate in recruiting and develop effective interviewing skills

We are looking for people who have:

• 3+ years of relevant software development experience
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience building production-ready, scalable web applications
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems
• Strong interpersonal skills and the ability to collaborate in a highly remote/distributed environment
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning — always improving yourself and the team around you
• Willingness to take on-call responsibilities
• Fluency in English (verbal and written)

Our Technology Stack:

• Programming Language: Scala
• Databases: Elasticsearch, Postgres, Redis, CRDB
• Infrastructure: Pulsar, Kafka, AWS
• Other Relevant Technologies: Docker / Kubernetes, React

Bonus Points:

• Experience with end-to-end, integration, and performance testing
• Exposure to enterprise systems

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $114,500 - $188,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

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

The Toast POS app is the central pillar of Toast’s restaurant products. Every day, hundreds of thousands of servers, hosts, bartenders, and chefs use Toast’s POS to serve millions of guests. Our POS product is constantly evolving, and the POS Productivity team builds the platform that makes this evolution possible.

Our mission is to make it as easy as possible for 150+ Android engineers to develop new features and deliver them with high confidence and quality. We are customer-obsessed—our customers are our fellow developers, and luckily for us, they are just a Slack message away! We strive to make it easy for people to do the right thing by default.

The team manages a broad technical domain, including CI/CD, the local developer experience, and release engineering for the POS app. Its projects cover Android app development, Java and Kotlin Cloud services in AWS, React UIs, and more. The team is an excellent fit for Android engineers with experience with mobile DevOps–CI/CD, and build and release processes.

The team’s current primary goals are boosting build speeds and significantly reducing our lead time to value by optimizing POS developers’ build/test cycles, and making updates to the mobile app release platform to allow Toast to manage concurrent releases across multiple projects.

A day in the life (Responsibilities)

• Technical Leadership: Act as an IC leader, taking ownership over the team’s domain, health, and ongoing efforts. Promote a positive, engaged engineering culture.
• Strategic Problem Solving: Don’t just move from project to project; systematically identify the highest ROI problems to solve and build alignment with stakeholders across the organization.
• Team Building & Mentoring: Actively build the team and mentor engineers to grow their technical and professional skills.
• Execution Excellence: Deliver rapid, high-quality output, leveraging AI tooling to accelerate development and improve code quality.
• Metrics & Observability: Define what “good” and “better” look like using high signal-to-noise metrics. Proactively identify ways to reduce ad-hoc toil and improve system health.
• Collaborative Problem Solving: Partner closely with the developer community, release manager and QA functions to develop DevEx, feature flag (FF) management and release strategies.
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements)

• Deep experience with Android development and a strong interest in full-stack work (Java/Kotlin Cloud services, React UIs).
• Proven experience in mobile CI/CD and release engineering, particularly with Jenkins and Gradle.
• A self-starter who takes initiative without waiting for direction and thrives in a fast-paced environment.
• Passionate about improving the day-to-day lives of fellow engineers and removing friction from their workflows.
• Ability to explain complex technical tradeoffs to diverse audiences and build consensus among technical leads.
• Experience using AI tools to enhance productivity and a drive to automate "the right thing" by default.

AI at Toast

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

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

#LI-REMOTE