About Us

IonQ is seeking a strategic and visionary Software Engineering Director to lead the development and operation of the core services provided by the IonQ Quantum Cloud platform (try it out yourself: https://cloud.ionq.com). This role is pivotal in delivering access to our advanced quantum computers and simulators via our APIs in the cloud and on-prem. The Director will drive the technical direction of the IonQ Quantum Cloud API platform, ensuring it aligns with IonQ's overall business objectives and market opportunities in the rapidly evolving quantum computing landscape.

The ideal candidate will have experience leading or contributing to multiple simultaneous initiatives, balancing multiple activities with a keen eye for prioritizing for the biggest impact. You’ll be able to balance technical expertise and savvy with strong business judgment to make great technology choices with lasting impact. You’ll strive for simplicity and demonstrate significant creativity and incisive judgment. You'll enjoy learning technical topics, working across multiple business streams, and be uniquely positioned to help us reach the next horizon in secure quantum computing.

Responsibilities:

• Develop and execute the technical roadmap for IonQ's quantum platform, aligning with business goals and market demands
• Own API design and versioning strategy for IonQ Quantum Cloud, ensuring APIs are consistent, well-documented, and a joy to integrate with
• Partner closely with developer tools leadership to ensure seamless integration between cloud services and client SDKs
• Drive cross-functional strategic initiatives, collaborating with product, research, and engineering leadership to define long-term technology choices and platform architecture
• Manage technical delivery of integrations with major cloud providers (AWS, Azure, GCP), ensuring alignment with IonQ's cloud strategy and business objectives
• Develop and manage the cloud services portfolio budget, ensuring cost optimization and alignment with financial goals
• Define and track key performance indicators (KPIs) for the cloud platform, providing regular reports and insights to executive leadership
• Provide technical leadership and guidance in building robust, scalable, and innovative software solutions that can be deployed in a variety of contexts – including on-prem and hybrid environments

In your first three months, you will focus on assessing the current cloud platform strategy, identifying key areas for improvement, and delivering new capabilities to meet growing global demand.

You’d be a good fit with...

• 12+ years of progressive technical leadership experience, including significant experience in managing and developing large-scale cloud platforms
• 7+ years experience designing and operating cloud APIs and services at scale
• Demonstrated ability to develop and execute strategic plans, working cross-functionally to align technology initiatives with business objectives
• Experience in building and leading high-performing distributed teams, fostering a culture of innovation and excellence across multiple timezones
• Sufficient technical proficiency to engage thoughtfully with engineers about architecture and product design, offering valuable insights when necessary
• Experiencing shipping and operating business-critical distributed systems
• Experience managing teams using AI agents for engineering tasks
• Prior experience as a software engineer and team lead
• Strong written and verbal communication skills for different audiences (your staff, users, the company as a whole)

You’d be a great fit with...

• 18+ years of senior technical leadership experience, including experience at the director level or above (e.g., 30+ engineers organized in multiple layers)
• 10+ years experience designing and scaling APIs, with a proven track record of shipping interfaces developers love to use
• Experience owning a multi-tenant cloud API product end-to-end—from API design through deployment and operations—at scale
• Strong product and design sense
• Experience in driving organizational change and transformation in a rapidly evolving technology environment
• Experience recruiting and managing teams distributed across multiple continents
• Experience developing sustainable, in-house framework and abstraction layers
• Strong business acumen and experience in developing and managing the engineering platform for a significant business unit
• Experience managing rigorous incident response processes, on-call rotations, and retrospectives
• Personal experience writing software with AI agents
• Prior experience with building/scaling platform-as-a-service offerings
• Prior experience with quantum computing

Location: This role will be based onsite at our office in Bothell, Washington or our Headquarters in College Park, MD.
Travel: Up to 10%
Job ID:  1332

The approximate base salary range for this position is $221,925 - $290,558. The total compensation package includes base, bonus, and equity.

Location: Primarily Bethesda, MD with frequent telework; on-site support may be required; telework is Government-authorized.

Citizenship: US Citizen (MUST)

Security Clearance: Ability to meet federal suitability and security requirements as applicable.

Position Overview:

We are seeking a hands-on Application Programmer – Lead (Lead Developer) to provide technical leadership across modernization and O&M for a federal application portfolio. You will lead developers, provide architecture guidance, oversee code quality, and serve as an escalation point for complex technical issues.

Key Responsibilities:

• Lead a development team (including assigning/prioritizing work, establishing standards, and conducting code reviews).
• Provide architectural guidance and ensure solutions meet quality, performance, and security expectations.
• Drive modernization and sustainment of mission applications; support continuous integration and release readiness.
• Collaborate closely with Project Management and stakeholders to align technical priorities with mission needs.
• Troubleshoot and resolve complex production and development issues; mentor developers.

Required Qualifications:

• Strong lead development experience in enterprise environments.
• Demonstrated ability to provide technical direction, enforce coding standards, and ensure delivery quality.
• Experience with Agile delivery and tooling (e.g., Jira-like tools) and leading Scrum activities.

Preferred / Highly Desired Qualifications:

• Modern Java stack and frameworks, containerization, and CI/CD experience (e.g., Java 11/17+, Spring, Docker/Kubernetes, Jenkins/GitHub Actions/Azure DevOps).
• Experience with emerging AI capabilities (LLM integration, RAG pipelines, agentic orchestration frameworks).
• Cloud platform certifications (AWS/Azure/GCP) and/or AI/ML certifications preferred.

About the Opportunity

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

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

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

What to expect? 

Personalization & Experimentation Domain Leadership 

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

Technical Solution Architecture & Hands-On Delivery

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

Technical Discovery & Customer Enablement

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

Cross-Functional Collaboration & Feedback Loops

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

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

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

Required: Technical & Architectural Skills

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

Professional Services & Collaboration Skills

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

Nice to Have

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

What Success Looks Like

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

What's in it for you?

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

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

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

Position Overview

We are seeking a skilled DevOps / Cloud Engineer to join the team responsible for managing core network platform - OSS. In this role, you will design, deploy, and operate cloud and hybrid infrastructure, build and maintain CI/CD pipelines, and take ownership of running third-party vendor software in our environment. You will bridge the gap between infrastructure and application operations, ensuring our systems are scalable, secure, highly available, and cost-efficient. 

Key Responsibilities:

• Design, deploy, and manage AWS cloud and hybrid infrastructure solutions using Infrastructure as Code (IaC) tools
• Deploy, operate, and maintain cloud environments across multi-account and multi-region AWS architectures
• Deploy, configure, and operate vendor-supplied software within our cloud/hybrid environment, serving as the operational owner for these applications
• Coordinate with vendors on installation, upgrades, patching, and configuration changes, translating vendor requirements into infrastructure and deployment solutions
• Ensure vendor applications meet our availability, performance, and security standards through own monitoring and incident management processes
• Own the security, availability, and reliability of infrastructure, applying best practices for IAM, encryption, and vulnerability management
• Build, maintain, and improve CI/CD pipelines that automate testing, security scanning, and deployment workflows
• Automate infrastructure provisioning, configuration management, and operational tasks to eliminate manual toil
• Implement and maintain monitoring, alerting, and observability tooling to enable proactive issue detection and resolution
• Analyze cloud performance metrics and resource utilization to continuously optimize system efficiency and control costs
• Partner closely with internal and vendor teams to align on cloud infrastructure deployment and integration practices - bridging code and underlying infrastructure
• Provide technical guidance and mentoring to teammates, driving engineering excellence 

Qualifications 

Education:

Bachelor’s degree in Computer Science, Engineering, or a related field — or equivalent professional experience.

Experience:

A minimum of 3+ years of hands-on experience in cloud infrastructure, DevOps, or site reliability engineering roles.

• Public Cloud Expertise (AWS, Azure or GCP): Proven hands-on experience with public cloud services including compute, networking, databases, K8s, IAM, monitoring
• Infrastructure as Code: Proficiency in Terraform or AWS CDK for building and managing infrastructure at scale
• CI/CD: Demonstrated experience designing and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, ArgoCD)
• Containerization & Orchestration: Solid experience with Docker and K8s for application deployment and management
• Hybrid & Multi-Environment Operations: Experience operating workloads across cloud and on-premises or hybrid environments
• Third-Party Software Operations: Experience deploying and managing vendor-provided applications in cloud environments, including coordination of upgrades, patching, and configuration
• Databases: Hands-on experience with SQL (e.g., PostgreSQL, MySQL/RDS) and NoSQL (e.g., DynamoDB, Redis/Elasticache) databases
• Messaging & Queuing: Familiarity with message-driven systems such as SQS, RabbitMQ or Kafka
• Scripting & Automation: Proficiency in at least one scripting language (Python, Bash, or similar) for automation tasks 

Preferred Qualifications: 

• AWS or Azure/GCP certification (e.g., AWS Certified DevOps Engineer, Solutions Architect)
• Skills in remote debugging and troubleshooting distributed systems
• Familiarity with security and compliance frameworks (e.g., SOC 2, ISO 27001)
• Experience with observability platforms (e.g. Prometheus/Grafana, ELK)
• English proficiency at B2 level or above; able to collaborate effectively with global, cross-functional teams
• Experience in software development is a plus
• Background in telecom, satellite, or other high-availability, mission-critical environments is a plus 

Soft Skills:

• Strong problem-solving mindset with a bias toward automation and operational efficiency
• Collaborative and communicative — comfortable working in a globally distributed team
• Ownership mentality - take responsibility for end-to-end reliability of systems under your care
• Adaptable and self-directed, with the ability to manage competing priorities in a fast-paced environment
• Meticulous attention to detail in documentation, change management, and operational procedures 

Technology Stack:

• Cloud - AWS (EC2, EKS, RDS, DynamoDB, Elasticache, S3, Route53, VPC networking, IAM, CloudWatch)
• IaC - Terraform, AWS CDK
• Containers & Orchestration - Docker, K8s
• CI/CD - GitHub Actions, GitLab CI, Jenkins, ArgoCD (or similar)
• Messaging - SQS, Kafka
• Scripting - Python, Bash
• Databases - PostgreSQL, MySQL, DynamoDB, Redis
• Monitoring & Observability - Prometheus, Grafana, CloudWatch
• Version Control - Git 

Physical Requirements 

• Ability to work in a standard office or remote home-office environment and use a computer for extended periods
• Ability to participate in occasional after-hours incident response actions

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview 

We are seeking a Lead Data Engineer to serve as a senior individual contributor—equivalent to a Staff or Principal Data Engineer—with full ownership of analytics data architecture and engineering standards. This hands‑on technical leadership role is part of a high‑impact analytics team responsible for enabling data‑driven decision‑making across satellite network planning, capacity and demand forecasting, network operations, and performance analytics. 

The Lead Data Engineer will design, build, and operate scalable, production‑grade data pipelines and analytical infrastructure to ensure high‑quality; reliable data is consistently available across global planning and operational workflows. This role defines how operational, network, and business data is ingested, modeled, governed, and consumed—transforming complex, heterogeneous datasets into trusted, decision‑ready analytics assets. 

While this position does not include people management, it carries significant technical ownership and influence. The Lead Data Engineer drives architectural strategy, establishes engineering best practices, and mentors analytics professionals to elevate data engineering maturity across the organization. 

 Success in this role is measured by enabling fast, confident, and consistent data‑driven decision‑making—not platform uptime alone. The focus is on delivering durable analytics foundations that support insight, alignment, and execution at scale 

Key Responsibilities 

Data Architecture & Platform Ownership 

• Own the end‑to‑end analytics data architecture, including ingestion, modeling, governance, and consumption patterns. 

• Design, build, and maintain scalable, reliable data pipelines supporting forecasting, network planning, and operational analytics. 

• Establish and operate a lakehouse‑style architecture (raw → normalized → curated). 
• Integrate diverse, complex operational and telemetry data sources into unified analytical and semantic models. 

Analytics Enablement & Decision Systems 

• Translate ambiguous business needs into durable data products, including curated datasets, semantic layers, and standardized KPIs. 

• Define KPI frameworks with consistent definitions, calculations, and refresh logic across teams. 

• Enable self‑service analytics by delivering trusted, well‑documented, discoverable datasets for BI and advanced analytics. 

  Data Quality, Reliability & Governance 

• Implement automated validation, monitoring, and freshness checks across critical pipelines. 

• Identify and resolve systemic data issues proactively, ensuring uninterrupted operational insights. 

• Design schemas and pipelines with governance needs in mind, including lineage, auditability, and certification. 

  Technical Leadership & Standards 

• Serve as the technical authority for analytics engineering and own architectural decisions. 

• Establish and enforce engineering best practices, including testing, version control, documentation, and modular SQL/Python patterns. 

• Mentor analysts and engineers to raise the quality and reliability of data products. 

• Capture metadata and ownership for scalable governance and enterprise cataloging. 

  Qualifications 

Education 

• Bachelor’s degree in computer science, data engineering, information systems, or a related technical field required. 

• Master’s degree preferred but not required. 

  Experience 

• A minimum of 7–10 years of experience in data engineering, analytics engineering, or related fields. 

• Proven experience designing and operating production‑grade data systems at scale. 

  Preferred Qualifications 

• Experience in telecom, satellite networks, IoT, or other high‑volume telemetry data environments. 

• Familiarity with predictive analytics, forecasting workflows, or ML‑driven feature pipelines. 

• Hands‑on experience implementing data quality frameworks, metadata systems, or data lineage tooling. 

• Experience supporting enterprise analytics on a global scale. 

  Soft Skills 

• Strong interpersonal skills and ability to collaborate across cross‑functional teams. 

• Excellent written and verbal communication skills. 

• Strong problem‑solving, debugging, and prioritization abilities. 

• Ability to operate effectively in fast‑moving, ambiguous environments. 

• Meticulous attention to detail, ensuring accuracy across all documentation and data products. 

• Demonstrated ability to translate complex technical concepts for non‑technical stakeholders. 

  Technology Stack 

• SQL (advanced proficiency for analytics‑grade modeling and transformations) 

• Python (data processing, automation, pipeline development) 

• Cloud platforms such as AWS (preferred), Azure, or GCP 

• ETL/ELT tools such as Airflow, Prefect, or Azure Data Factory 

• Modern data ecosystems including Databricks, Snowflake, Redshift, or similar 

• BI and analytics tools such as Power BI, Tableau, or Looker 

• Version control (Git), CI/CD, and modern testing frameworks 

 Physical Requirements 

• Ability to work in a standard office environment and use a computer for extended periods. 
• Occasional virtual or in‑person collaboration across global teams. 

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Your Role:

Tenable is looking for a highly motivated Senior Research Engineer to join our Research Solutions Engineering Team.

This team serves as the critical bridge between our Research organization and Product teams, driving technology transfer and productization of cutting-edge security innovations. You'll transform novel research concepts into tangible MVPs, PoCs, and production-ready systems that directly impact how Tenable customers manage their exposure.

We need a proactive problem-solver—someone who recognizes that the initial request isn't always the whole story. You will be expected to listen to the goal, ask the tough questions, and suggest creative alternatives if you see a better way. You are the type of engineer who pauses to ensure we’re solving the right problem before building the solution.

This is a highly autonomous role operating at the intersection of innovation and execution. You'll work on ambiguous, dynamic projects at the forefront of security research. You'll serve as both designer/architect and implementer, with your work ranging from rapid PoCs to full-production implementations, depending on project needs.

Your Opportunity:

• Drive technology transfer between organizations by building MVPs, PoCs, and production-ready implementations of novel security capabilities
• Design and architect solutions that bridge the gap between prototypes and scalable product systems that serve Tenable customers at scale
• Partner cross-functionally with researchers to deeply understand their innovations and with product teams to understand customer needs and technical constraints
• Operate autonomously on cutting-edge projects—translating strategic goals into concrete plans and execution with minimal direction
• Prototype rapidly to validate research concepts, then iterate toward production quality based on feedback and evolving requirements
• Navigate technical breadth across technical domains, picking up new technologies and concepts quickly as projects demand
• Make critical architecture decisions about what to build, how to build it, and when to pivot based on evolving understanding
• Communicate effectively across diverse audiences—explaining research concepts to product teams and product constraints to researchers
• Take ownership of projects end-to-end, from initial conception through delivery and handoff
• Collaborate with a small, high-impact team (3 ICs, 1 senior manager, 1 director/research architect) while engaging with the broader Research and Product organizations

What You'll Need:

• 5+ years of professional software engineering or security research experience
• B.S. degree in Computer Science, Cybersecurity, or related field, or equivalent work experience
• Deep expertise in at least one relevant security domain (e.g., Application Security, Vulnerability Management, Cloud Security, Container Security, Threat Intelligence, Software Supply Chain, Network Security, Cryptography), combined with broad general knowledge across security and engineering
• Demonstrably strong programming skills in multiple languages; comfortable picking up new technologies and tech stacks as projects require
• Proven track record of working autonomously—taking strategic direction and independently charting the technical path from architecture through implementation
• Experience designing systems that balance innovation with production constraints (reliability, scalability, maintainability)
• Experience building both rapid PoCs and production-grade systems; understanding when each approach is appropriate
• Strong cross-functional collaboration skills—ability to work effectively with both research-oriented and product-oriented teams
• Outstanding written and verbal communication skills; ability to explain complex technical concepts to diverse audiences
• Comfort with ambiguity and rapid context-switching; thrives in dynamic environments where requirements evolve
• Extreme curiosity and learning agility—genuine drive to understand how things work and explore new domains
• Pragmatic decision-making skills; knows when to prototype vs. polish, when to pivot vs. persist

And Ideally:

• Experience with vulnerability management platforms, particularly Tenable products (Nessus, Tenable One, Security Center)
• Familiarity with NASL (Nessus Attack Scripting Language) or willingness to learn
• Experience working in both research and product organizations; understanding of the different mindsets and priorities
• Background in security research or novel capability development
• Experience with AI/ML systems or emerging security technologies
• Open source contributions or published security research
• Experience with cloud platforms (AWS, Azure, GCP) and container technologies
• Skilled in presentation on complex topics at conferences, in blogs, or through technical papers

#LI-Remote #LI-LP1

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

ROLE & RESPONSIBILITIES:

• Assist with security monitoring, threat detection, and incident response activities
• Support vulnerability assessments, security audits, and compliance reviews
• Help maintain and update security documentation, policies, and procedures
• Participate in security tool configuration and maintenance (e.g., SIEM, firewalls, endpoint protection)
• Conduct research on emerging cybersecurity threats, vulnerabilities, and best practices
• Assist with security awareness initiatives and training materials
• Support identity and access management (IAM) processes and user access reviews
• Collaborate with IT and development teams to promote secure coding and system hardening practices

REQUIRED EXPERIENCE: 

• Foundational knowledge of cybersecurity principles, practices, and technologies
• Awareness of current and emerging cybersecurity threats, trends, and defense strategies
• Basic understanding of networks, operating systems, and information security concepts
• Ability to troubleshoot technical security issues and think critically about risk
• Strong learning agility and eagerness to develop cybersecurity expertise
• Self-motivated problem solver with attention to detail
• Ability to prioritize tasks and manage time effectively in a fast-paced environment
• Good judgment and ability to work effectively within a high-performing security team

PREFERED EXPERIENCE: 

• Familiarity with security frameworks (e.g., NIST, ISO 27001, CIS Controls)
• Experience with security tools or platforms (e.g., SIEM, vulnerability scanners, antivirus/EDR)
• Knowledge of scripting or programming languages (e.g., Python, PowerShell, Bash)
• Exposure to cloud security concepts (e.g., AWS, Azure, GCP)
• Understanding of compliance requirements (e.g., FISMA, FedRAMP, HIPAA)

EDUCATION & CERTIFICATIONS:

• Currently enrolled college student or recent college graduate
• Cybersecurity-related certifications (e.g., Security+, CEH, CySA+) are a plus but not required

CSQ227R175

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. government Top Secret clearance is required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues
• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• US Top Secret Clearance Required TS/SCI Preferred this position
• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines
• Documentation and white-boarding skills
• Experience working with clients and managing conflicts
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Ability to travel up to 30% when needed

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

ROLE & RESPONSIBILITIES: 

The Data Scientist will ensure continuous improvement of the program’s data quality through solutions and strategies to address business challenges. This role involves working closely with data operations and reporting teams to design, develop, and execute automated data reporting solutions with the highest standards of quality and performance. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively in a SAFe Agile environment. The Data Scientist will play a critical role in improving the quality and accessibility of data solutions to support the Centers for Medicare & Medicaid Services (CMS) in detecting and preventing fraud, waste, and abuse within government-sponsored health programs.

Key Responsibilities:

• Collaborate with product owners, customers, team members, and leaders to shape data-driven strategies.
• Develop solutions and strategies to address business challenges.
• Research and devise innovative statistical models for data analysis.
• Automate repetitive reports and deliveries
• Apply statistical methods, machine learning, and artificial intelligence tools to detect anomalies and trends to make informed decisions.
• Run data pilot analysis, comparative performance analysis.
• Streamline performance and data quality analysis on various data sources.
• Develop and deploy machine learning models into production environment by collaborating with other engineers and developers.
• Monitoring model performance, refine/update models algorithms as needed.
• Collaborate with internal teams and developers to design, develop, automate and maintain data analytics reports and dashboards.
• Provide support in ad-hoc analysis to meet customer needs.
• Present insights and findings to business owners, customers, and leadership.
• Able to effectively transfer knowledge and train team members in the processes.
• Participate in Agile ceremonies, such as sprint planning, daily stand-ups, and retrospectives, to provide input on testing progress and challenges.
• Continuously improve testing processes, tools, and techniques to enhance the efficiency and effectiveness of the testing efforts.

REQUIRED EXPERIENCE: 

• 5+ years of experience as a Data Scientist or similar role.
• Experience with data analytics tools (SQL, R, Python) and data visualization tools (like Tableau, PowerBI, AWS Quicksight).
• Experience designing, training, validating, and deploying machine learning models and algorithms.
• Experience with cloud computing tools such as AWS, Azure, and GCP.
• Experience with the version control systems (GitHub)
• Knowledge of databases (PostgreSQL, Oracle) and data modeling.
• Experience with agile methodologies (SAFe, Scrum) and tools (Jira, Confluence).
• Excellent communication skills and ability to work collaboratively in a team environment.
• Strong analytical and problem-solving skills and a proactive approach to identifying and addressing issues.
• Ability to work effectively in a fast-paced, agile environment and deadline-driven environment.
• Proven track record of innovation and continuous improvement.
• Must be able to obtain and maintain a Public Trust clearance.
• Must have lived in the United States 3 out of the past 5 years.

PREFERRED EXPERIENCE: 

• SAFe Agile Certification
• Assess/evaluate to deliver timely data analysis, and data solutions against client requirements.
• Ensure customer satisfaction through follow-up, client responsiveness, and thorough communication.
• Ability to manage multiple clients and projects/tasks simultaneously.
• Experience in healthcare IT and understanding of regulatory requirements such as HIPAA.
• Experience and/or knowledge of CMS processes and standards.

EDUCATION & CERTIFICATIONS:

• Bachelor’s degree or higher in Computer Science, Information Technology, Math, Data Science, or related field.

Title: Rackner AI Innovation Fellowship (Startup Accelerator Internship)

Location: College Park (Hybrid – ~50% Minimum In-Person)

 Who We Are

Rackner is a cloud-native software consultancy delivering innovative solutions for startups, enterprises, and the public sector. We are a fast-growing, mission-driven organization focused on solving complex challenges through cutting-edge technologies.

Our expertise spans end-to-end application development, DevSecOps, AI/ML, and systems architecture, with a strong emphasis on cloud-first and cost-effective innovation. We partner with organizations ranging from early-stage startups to large federal agencies, enabling digital transformation and delivering high-impact, scalable solutions.

Position Overview

The Rackner AI Innovation Fellowship is a hands-on research and development program designed to explore and build next-generation solutions using artificial intelligence, cloud computing, and emerging technologies.

This fellowship offers a unique opportunity for students and early-career technologists to work in a startup-like environment while gaining real-world experience developing impactful solutions aligned with Rackner’s mission.

The program runs year-round, with:

• Part-time participation during the academic year
• Full-time engagement during the summer

Fellows will work in collaborative teams (ideally groups of 2–3 participants) to take ideas from concept to prototype, focusing on real-world applications, scalability, and measurable impact. Teams that already have strong working relationships are encouraged to apply together.

Each team will receive funding for cloud infrastructure and AI tools to support development. At the conclusion of the program, teams will present their solutions, findings, and working prototypes to Rackner leadership.

Key Responsibilities

• Collaborate in small teams to design, develop, and prototype innovative AI/ML and cloud-based solutions
• Conduct research on emerging technologies, including LLMs, cloud platforms, and cybersecurity frameworks
• Build and deploy applications using modern cloud platforms (AWS, Azure, or GCP)
• Develop proof-of-concept solutions with measurable impact
• Apply software engineering best practices (version control, testing, documentation)
• Analyze technical feasibility and potential business value of solutions
• Present findings, demos, and final prototypes to leadership
• Manage project timelines and contribute to team-based innovation

Focus Areas

• Large Language Models (LLMs) and AI-enabled applications
• Cloud-native development and distributed systems
• Cybersecurity and secure system design
• B2B platforms and enterprise solutions
• Government and public sector technology

Qualifications (Required)

• Must reside in a HUBZone
  (Verify eligibility: https://maps.certify.sba.gov/hubzone/map)
• Ability to participate in a hybrid model (~50% in-person in College Park)
• Currently enrolled student or recent graduate in a relevant field

Preferred Qualifications

• Background in Computer Science, Software Engineering, Data Science, or Business
• Strong preference for candidates with software development experience
• Experience with programming languages such as Python, JavaScript, or Java
• Familiarity with AI/ML tools (TensorFlow, PyTorch, HuggingFace)
• Knowledge of cloud platforms (AWS, Azure, GCP)
• Understanding of APIs, microservices, or distributed systems

Candidate Profile (What We’re Looking For)

• HUBZone candidates strongly encouraged to apply
  (Goal: Build a cohort of at least 9 HUBZone participants, including current interns)
• Team-oriented applicants
• Preference for candidates applying in teams of 2–3
• Teams with prior working relationships or strong collaboration experience are highly encouraged
• Balanced technical + business mindset
• Ideal team composition: 2 technical (software-focused) + 1 business-oriented member
• Candidates with business, product, or entrepreneurial experience are a plus
• High energy and motivation
• Demonstrated strong work ethic
• Passion for innovation, problem-solving, and building new solutions
• Ability to thrive in fast-paced, ambiguous, startup-like environments

 Startup Accelerator Opportunity

Participants will have the opportunity to convert their project into a startup by buying back their intellectual property (IP) in exchange for equity, creating a direct pathway from fellowship to entrepreneurship.

Additional Benefits

• Industry-leading weekly pay schedule
• Hybrid work environment with strong in-person collaboration
• Access to cutting-edge AI tools and cloud resources
• Professional development and certification support
• Opportunity to build real-world portfolio projects
• Exposure to startup and enterprise innovation
• Home office support

Why Join Rackner?

This fellowship is more than an internship, it’s an opportunity to innovate, build, and potentially launch your own venture while working on impactful technologies that support both commercial and federal missions.

Position Overview 

The Vice President (VP), Clinical Development - Infectious Disease is a leadership role responsible for guiding Tonix Pharmaceuticals' clinical development programs. Reporting directly into the Chief Medical Officer, this position provides strategic oversight to ensure excellence in clinical research, regulatory interactions, and product approvals within Tonix's core therapeutic area of Infectious Diseases, initially with focus on prophylactic monoclonal antibodies, live virus vaccines and Lyme disease. 

Essential Duties

• Define and lead the company’s clinical development strategy for assigned vaccines and prophylactic antibodies, ensuring alignment with corporate vision and regulatory expectations with Tonix’s pipeline and therapeutic focus.
• Oversee the planning, design, execution, and completion of clinical trials (Phases I-IV), ensuring efficiency, scientific rigor, and compliance with regulatory standards, timelines, and budgets. Oversee the development of clinical protocols, investigator brochures, statistical analysis plans, and other critical regulatory documents. Collaborate with clinical operations to ensure the quality and integrity of clinical data; and support scientific communications and publications regarding pipeline programs. Maintain a strong focus on innovation in clinical trial design, patient-centric approaches, and biomarker-driven strategies.
• Oversee the selection and management of CROs, academic partnerships, and external collaborations to optimize clinical trial execution.
• Drive a culture of operational excellence, regulatory compliance, quality assurance, adherence to GCP guidelines, ethical considerations, and scientific integrity across Clinical Development.
• Represent the company at key scientific conferences, industry consortia, and investor presentations to enhance corporate reputation.
• Provide leadership to the Clinical Development, Clinical Operations, and Safety/Pharmacovigilance teams.
• Provide medical and scientific leadership to cross-functional teams, integrating insights from medical affairs, regulatory affairs, and commercial teams to drive program success.
• Partner with R&D, Medical Affairs, Commercial, and Business Development teams to align clinical development with broader corporate objectives.
• Serve as the clinical development leader for assigned pipeline programs in interactions with global regulatory agencies (FDA, EMA, etc.), ensuring effective engagement, submission strategies, and post-approval commitments; lead the preparation and review of regulatory submissions, including INDs, NDAs, BLAs, and CTAs.
• Cultivate and maintain strong relationships with Key Opinion Leaders (KOLs) and patient advocacy organizations specific to the products and indications for the programs led.
• Build, mentor, and lead high-performing teams, fostering a culture of excellence, innovation, and accountability.  
• Strong ability to build and sustain meaningful relationships with KOLs, regulatory bodies, and external strategic partners.
• Exceptional leadership, mentorship, strategic planning, and operational management skills.
• Excellent communication, interpersonal, and negotiation abilities

Necessary Skills and Abilities:

• Demonstrated success in leading clinical development programs.
• Regulatory Compliance: Extensive experience with regulatory interactions, submissions, and product approvals.
• Experience in comprehensive budget management.

Educational Requirements:

• MD or DO

Experience Requirements:

• Experience: 10-15 years of relevant experience, demonstrating progressive leadership in clinical development within pharmaceutical or biotechnology companies, including prior experience serving at the Senior Director level or above in Clinical Development organizations.
• Board certification in Infectious Disease a plus
• Expertise and experience in infectious diseases.
• Prior work with Lyme disease, live viral vaccines and or prophylactic monoclonal antibodies a major plus.

About Us

#LI-DP1

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

How This Role Makes a Difference

We are seeking a highly skilled and experienced Principal Investigator to join our team. As the Principal Investigator, you will be responsible for oversight of all clinical trials according to study protocols, company processes, and GCP.  

FEQ127R326

Mission

Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.

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, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present references architectures, how-tos, and demo applications for customers
• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region

What we look for:

• 8+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• US Citizen

FEQ127R165

Mission

Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.

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, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present references architectures, how-tos, and demo applications for customers
• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region

What we look for:

• 5+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• US Citizen

FEQ127R5

Mission

Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.

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, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present references architectures, how-tos, and demo applications for customers
• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region

What we look for:

• 8+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• US Citizen

Black Canyon Consulting (BCC)  is searching for Senior Platform Engineer (DataOps) to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite/remote at the NCBI in Bethesda, MD and/or remote.

NCBI is part of the National Library of Medicine (NLM) at National Institutes of Health (NIH). NCBI advances science and public health by providing free access to biomedical literature and genomic data over the web, making it one of the 400 top most-visited sites in the world. NCBI's diverse staff of smart, talented, and deeply technical people collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts, often with links to full-text literature and supporting data. 

This is a great opportunity to work on challenging problems as part of a new DataOps Platform team at NCBI. Developing an enterprise-wide DataOps platform is a new initiative at NCBI. Stepping on decades of experience in dealing with some of industry's most vital data-intensive applications, NCBI approaches solving the problems at enterprise scale using modern technologies such as Kubernetes, GitOps and containerization

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, flexible work schedule and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

Overview

Black Canyon Consulting (BCC) is searching for a Front-End Developer to build and support dynamic applications with complex data flows for our public sector clients. BCC is a company of technologists, scientists, analysts, engineers, and consultants. Our clients trust us to maintain the infrastructure and visualization of these data to help drive innovation in health, science, and public policy. In this role, you will build extensible and sustainable search interfaces and data visualizations powered by complex dynamic state-management infrastructure. You will work closely with Subject Matter Experts (SMEs), Designers, and User Experience (UX) Researchers in an Agile environment.

We are looking for a highly motivated Engineer with a passion for user experience and delivering impactful web-based applications.

Overview

Black Canyon Consulting (BCC)  is searching for a Senior Software Developer to support the National Center for Biotechnology Information (NCBI). This opportunity is full time and onsite at the NCBI in Bethesda, MD and/or remote work.

The National Center for Biotechnology Information (NCBI) is part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH).  NCBI is the world’s premier biomedical center hosting over six million daily users that seek research, clinical, genetic, and other information that directly impacts biomedical research and public health – at NCBI you can literally help to accelerate cures for diseases! NCBI’s wide range of applications, platforms (node, python, Django, C++, you name it) and environments (big data [petabytes], machine learning, multiple clouds) serve more users than almost any other US Government Agency according to https://analytics.usa.gov/.

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

Job Description

Overview

Black Canyon Consulting (BCC) is actively looking for a skilled Hashicorp Vault Application Engineer/Administrator to join our team, focusing on the design and implementation of on premises and cloud HashiCorp Vault clusters. You will play a critical role in ensuring secure secret management, identity-based access, and seamless integration within our onprem and cloud-native (AWS and GCP) hybrid infrastructure. This position requires expertise in Hashicorp Vault, and Zero Trust security principles, along with a passion for building reliable and scalable systems. This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD and/or remote work. 

NCBI is part of the National Library of Medicine (NLM) at NIH. NCBI is the world’s premier biomedical center hosting over six million daily users that seek research, clinical, genetic, and other information that directly impacts biomedical research and public health – at NCBI you can literally help to accelerate cures for diseases! NCBI’s wide range of applications, platforms (node, python, Django, C++, you name it) and environments (big data [petabytes], machine learning, multiple clouds) serve more users than almost any other US Government Agency according to https://analytics.usa.gov/. 

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition and conference reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

Black Canyon Consulting (BCC)  is searching for DataOps Engineer to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite/remote at the NCBI in Bethesda, MD and/or remote.

NCBI is part of the National Library of Medicine (NLM) at National Institutes of Health (NIH). NCBI advances science and public health by providing free access to biomedical literature and genomic data over the web, making it one of the 400 top most-visited sites in the world. NCBI's diverse staff of smart, talented, and deeply technical people collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts, often with links to full-text literature and supporting data. 

This is a great opportunity to work on challenging problems as part of a new DataOps Platform team at NCBI. Developing an enterprise-wide DataOps platform is a new initiative at NCBI. Stepping on decades of experience in dealing with some of industry's most vital data-intensive applications, NCBI approaches solving the problems at enterprise scale using modern technologies such as Kubernetes, GitOps and containerization

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, flexible work schedule and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

Overview

Black Canyon Consulting (BCC)  is searching for a Technical Lead - Program Principal Engineer to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD and/or remote work.

As a Program Principal Engineer, you will be directing Technical Leads and Teams to ensure architectural cohesion and collaboration within the program; for assigned projects, you will be responsible for all phases of software development, from vision, architecture, and design, to implementation, production rollout, and operations. You will collaborate with the Program Head, Technical Program Manager, and other Program Principal Engineers across programs, forming close relationships to enable effective communication, encouraging staff growth and knowledge sharing, guiding technological innovation, and ensuring sustainable software development practices and service delivery. Your contributions will have direct impact on prominent offerings, supporting researchers in finding, browsing, and downloading genomic data, such as virus and pathogen detection resources that help researchers study common diseases, combat pandemics (SARS-CoV-2, H1N1), and provide surveillance to prevent outbreaks from food-borne, hospital-acquired, and other clinically infectious pathogens.

Responsibilities include:

• Manage the efforts of the program's software development team in an Agile framework
• Work with a diverse group of scientists, bioinformaticians and other developers across the center to implement efficient bioinformatics algorithms
• Provide work estimates for development tasks
• Ensure on-schedule delivery of software solutions for the product line and organization
• Manage the development lifecycle of software for assigned products
• Research new technologies in pursuit of advancing the goals of the program and product line
• Direct and coordinate the actions of the development team
• Provide technical leadership and guidance to the development team
• Act as a liaison between the development team and program leadership
• Create and maintain technical documentation related to the product line
• Ensure high code quality for software development tasks

Qualifications:

The ideal candidate may or may not be a United States citizen and must have at least a Bachelor or Master of Science degree in Computer Science, Information Technology or Engineering or equivalent work experience.

We are looking for an individual with:

• A proven track record of managing an Agile software development team
• Experience working with highly available, high traffic web applications
• The ability to translate business requirements into executable software development tasks
• Excellent verbal and written communication skills
• The ability to troubleshoot technical and staffing roadblocks and mitigate resource risks

Required Skills:

• Software development experience in a Linux environment (5+ Years)
• Proficiency in at least one programming language (Java, C, C++)
• Experience working with Cloud data storage and processing platforms (AWS, GCP)
• Proficiency in at least one scripting language (BASH, Python)
• Experience working with SQL databases
• Ability to work with common structured documents (XML, JSON, CSV)
• Experience with CI/CD pipelines, unit tests, integration, and regression testing
• Strong presentation and collaboration skills
• Experience coaching team members

Preferred qualifications:

• Experience with genetic and biological data
• Experience with software packaging and distribution, including Docker or other containerization mechanisms
• Experience with MongoDB or other NoSQL database technology
• Experience with workflow engines, particularly scientific workflows and DataOps

Black Canyon Consulting (BCC)  is searching for QA Platform Engineer (DevOps) to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite/remote at the NCBI in Bethesda, MD and/or remote.

NCBI is part of the National Library of Medicine (NLM) at National Institutes of Health (NIH). NCBI advances science and public health by providing free access to biomedical literature and genomic data over the web, making it one of the 400 top most-visited sites in the world. NCBI's diverse staff of smart, talented, and deeply technical people collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts, often with links to full-text literature and supporting data. 

Overview

Black Canyon Consulting (BCC)is searching for a Full-Stack Developer to support the User Services and Collection Division (USCD), part of the U.S. National Library of Medicine, National Institutes of Health. The USCD is responsible for managing the NLM's extensive collection of biomedical literature, health information, and data resources. Its core mandate is to collect, curate, and connect the world to this information. 

The Full-Stack Developer will work on RxNorm. RxNorm is a standardized naming system for U.S. prescription and over-the-counter drugs, providing "normalized" names (ingredient + strength + form) and unique codes to resolve naming confusion between different systems, enabling clear drug identification and data sharing in EHRs and research. It links brand names to generics, helping computers and people understand the same medication unambiguously. 

This opportunity is full-time and involves working with the USCD team in Bethesda, MD.

 Duties & Responsibilities:

Overview

Black Canyon Consulting (BCC) is searching for a Full-Stack Developer to support the User Services and Collection Division (USCD), part of the U.S. National Library of Medicine, National Institutes of Health. The USCD is responsible for managing the NLM's extensive collection of biomedical literature, health information, and data resources. Its core mandate is to collect, curate, and connect the world to this information. 

The Full-Stack Developer will work on DailyMed. DailyMed is a free, official National Institutes of Health (NIH) National Library of Medicine (NLM) resource providing the most current drug labeling (package inserts) for prescription and over-the-counter medicines, medical devices, and gases, directly from the FDA. Managed by the NLM, it serves as a comprehensive, user-friendly database for patients, clinicians, and researchers to access standardized, up-to-date information on dosages, warnings, interactions, and more, supporting public health.

This opportunity is full-time and involves working with the USCD team in Bethesda, MD.

 Duties & Responsibilities:

Black Canyon Consulting (BCC)  is searching for Platform Systems Manager to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite/remote at the NCBI in Bethesda, MD and/or remote.

NCBI is part of the National Library of Medicine (NLM) at National Institutes of Health (NIH). NCBI advances science and public health by providing free access to biomedical literature and genomic data over the web, making it one of the 400 top most-visited sites in the world. NCBI's diverse staff of smart, talented, and deeply technical people collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts, often with links to full-text literature and supporting data. NCBI is located in Bethesda, Maryland.

This is a great opportunity to work on challenging problems as part of a new DataOps Platform team at NCBI.  Developing an enterprise-wide DataOps platform is a new initiative at NCBI.  Stepping on decades of experience in dealing with some of industry's most vital data-intensive applications, NCBI approaches solving the problems at enterprise scale using modern technologies such as Kubernetes, GitOps and containerization.

Black Canyon Consulting (BCC)  is searching for Platform Ops Lead to lead Operations Support Engineer to join our DevOps and infrastructure team to support application developers and operations.  NCBI is located in Bethesda, Maryland.

NCBI is part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH). NCBI advances science and public health by providing free access over the Internet to biomedical literature and genomic data, making it one of the 400 top most-visited sites in the world. NCBI has a diverse staff of smart, talented, and deeply technical people who collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts; and maintains ClinicalTrials.gov, a database of over 400,000 clinical studies around the world.

The Systems & DevOps team is responsible for the efficient operation of infrastructure to run NCBI's many applications.  This includes providing convenient, scalable solutions for development, deployment, and operations across teams, languages, and cloud and on-prem environments.

This is a great opportunity to work on challenging problems in a technical, scientific, and goal-oriented environment. NCBI offers flexible working hours, remote options, on- and off-site training courses, and conference attendance and tuition reimbursement.

Black Canyon Consulting (BCC)  is searching for Platform Engineer (DataOps) to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite/remote at the NCBI in Bethesda, MD and/or remote.

NCBI is part of the National Library of Medicine (NLM) at National Institutes of Health (NIH). NCBI advances science and public health by providing free access to biomedical literature and genomic data over the web, making it one of the 400 top most-visited sites in the world. NCBI's diverse staff of smart, talented, and deeply technical people collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts, often with links to full-text literature and supporting data. 

This is a great opportunity to work on challenging problems as part of a new DataOps Platform team at NCBI. Developing an enterprise-wide DataOps platform is a new initiative at NCBI. Stepping on decades of experience in dealing with some of industry's most vital data-intensive applications, NCBI approaches solving the problems at enterprise scale using modern technologies such as Kubernetes, GitOps and containerization

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, flexible work schedule and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!