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:

We are seeking a highly experienced hands-on Software Manager of Quality Engineering who will lead the Quality function for an Exposure Management product with a strong focus on an automation-first strategy, observability-driven quality insights, and data-backed decision making. You will step in to directly manage a dedicated team of 6 to 8 engineers, optimizing their workflow and taking ownership of team management. This is a hybrid role

Your Opportunity:

• Manage, mentor, and grow a tight-knit US-based team of 6 to 8 QA engineers and SDETs.
• Conduct regular one-on-ones and build a culture of engineering excellence.
• Hybrid office role: 3 days per week for Maryland residents, 1 to 2 days per week for DC/Northern Virginia residents.
• Operate in a 50% to 60% hands-on capacity.
• You will be deeply involved in designing, enhancing, and implementing the automation framework, as well as picking up targeted SDET tasks.
• Define and execute the long-term Quality Engineering vision, aligned with product and engineering goals.
• Own the automation roadmap across UI, API, performance, integration, and end-to-end testing, ensuring automation is embedded into CI/CD workflows.
• Implement and enhance observability practices using logs, metrics, traces, and synthetic monitoring.
• Partner with DevOps/SRE to improve error budgets and early incident detection.
• Build a monthly Quality Insights report for leadership.
• Define, track, and present data-driven quality metrics such as automation coverage, escaped defect rate, release reliability score, and performance baselines.

What You'll Need:

• 7–10+ years of experience in Quality Engineering, including 2–5 years directly leading teams.
• You must have a strong background working in product-based software companies.
• Experience managing smaller teams of 6 to 8 engineers.
• Candidates whose recent experience is primarily managing massive teams of 20 or more engineers will not be a fit, as maintaining hands-on capability is required.
• Deep expertise in test automation frameworks and cloud-based SaaS delivery.
• Experience with Playwright preferred, Selenium, or Python, we value your core knowledge of automation architecture in large environments over specific syntax.
• Strong understanding of observability tools (Datadog, Grafana) and hands-on experience with performance testing tools (JMeter, K6, etc.).
• Strong command over quality metrics, reporting, excellent communication, and stakeholder management skills.

#LI-LP1

Position Overview

We are seeking an OSS Test & Automation Engineer to join the team responsible for developing our core network platform – OSS. In this role, you will act as the primary owner of OSS workflow automation development and test engineering. Your primary focus will be to build, test, document and maintain automation processes executed within the OSS platform - covering network operations, service assurance, reporting, and partner integration workflows. At the same time, you will tightly collaborate with internal Service Assurance and Service Delivery teams to gather requirements, transfer knowledge about the developed automation processes, and receive feedback about the required improvements and changes. You are not a pure QA resource since you are an automation developer who also ensures what is built is verifiably correct and operates as expected by the end users. 

Key Responsibilities:

• Design, develop, and maintain automation workflows and orchestration scripts executed within our own OSS platform, covering network operations, fault management, service assurance, reporting, and inventory
• Own and grow the automation backlog - identify manual, error-prone, or repetitive operational processes as candidates for automation, estimate effort, and drive items through to production delivery
• Design, implement, and maintain automated test suites that validate automation workflows under both nominal and fault/edge-case conditions
• Execute test plans, document results, track defects, and drive resolution in collaboration with all involved internal teams
• Produce clear test documentation of test plans, test cases, test reports, and coverage summaries
• Cooperate with internal Service Assurance and Service Delivery teams by fostering knowledge transfer, gathering requirements, and jointly identifying next steps in developing new automated workflows and processes
• Proactively identify automation failures, performance degradations, or reliability issues and drive root-cause analysis and remediation
• Continuously improve automation reliability, coverage, and maintainability based on operational feedback and incident learnings
• Act as first line contact and support line for internal Service Assurance and Service Delivery concerning OSS automated processes and workflows already introduced into production
• Maintain clear, accurate documentation for all automation workflows introduced 

Qualifications 

Education:

Bachelor’s degree in computer science, engineering, telecommunications or a related field — or equivalent professional experience.

Experience & Qualifications:

• A minimum of 3+ years of professional experience in automation engineering, test engineering, or a combined software/QA role, preferably in telecom, network operations, or OSS/BSS systems.
• Proven experience designing and building automation workflows, orchestration scripts, or operational automation pipelines — not just test scripts
• Solid proficiency in Python or any other scripting language and familiarity with modern test frameworks (e.g. pytest, Robot)
• Familiarity with at least one workflow orchestration or BPM tool (e.g. Camunda, Apache Airflow, Ansible, or similar)
• Ability to query and manipulate data in SQL and/or NoSQL databases
• Strong command of test strategy design, test case development, test automation frameworks, and defect lifecycle management
• Familiarity with telecom OSS concepts like FCAPS, TMF eTOM framework or similar operational support system concepts
• Practical exposure to network operations workflows and/or service assurance processes
• Working knowledge of NETCONF/YANG, SNMP, or TMF Open APIs as integration surfaces for automation workflows
• Familiarity with OSS platforms, NMS/EMS systems, or network simulation tools used for test environment setup
• Hands-on experience integrating automation with REST APIs and event-driven messaging systems (e.g. Kafka, RabbitMQ, SQS)
• Experience embedding quality gates and automated tests into CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or equivalent)
• Practical experience with monitoring and logging tooling (Prometheus, Grafana, ELK stack, or equivalent) for making automated workflows observable in production
• Comfortable developing, deploying, and debugging automation in Linux

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:

• Python (automation, scripting, test frameworks)
• Camunda, Apache Airflow, Ansible, or equivalent BPM/orchestration tooling
• Pytest, Robot Framework, or equivalent
• Postman, requests library, or similar
• GitHub Actions, GitLab CI, Jenkins, ArgoCD
• Prometheus, Grafana, ELK stack, structured logging
• REST, gRPC, Kafka, RabbitMQ, TMF Open APIs, NETCONF/YANG
• Databases:
  • PostgreSQL / MySQL (SQL)
  • MongoDB, Cassandra, or equivalent (NoSQL)
  • InfluxDB or similar (Time-series DBs)
• Docker, Kubernetes (working knowledge for deploying automation workloads)
• Git (GitHub / GitLab)
• Confluence, test case management tools (e.g. TestRail, Xray, or equivalent)

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. 

If you are interested in a position in Engineering but don't see what you are looking for, please send us your resume.  We will keep it on file and reach out when we find a match.

Tenable's Engineering Department is the company's heartbeat. Our scrum teams work in locations around the globe, building architectures and developing code for our innovative products, fulfilling SRE and DevOps roles, providing testing and QA services -- insuring that Tenable brings it's best to the market every day!

Positions in Engineering generally require a background in Computer Science, Software Engineering (or similar) and some experience working in an agile, team focused organization.

In the United States, we typically hire in one of our hub locations - Columbia, MD; Boston, MA; and the San Francisco, CA Bay Area. Globally, Engineers are hired in Dublin, Ireland; Tel Aviv, Israel; and Paris, France. Some positions require a hybrid work schedule (2 days a week in the office) and others are fully remote. Required location(s) are posted for each individual opening.

#LI-DNI

At scale, quantum computers will be integrated into classical datacenters — combining the unique strengths of CPUs, GPUs, and QPUs will help us solve the world’s hardest problems. Today, we already use IonQ quantum computers in tandem with high-performance computer (HPC) clusters in applications like quantum machine learning and image analysis. As a Senior Staff Software Engineer leading our HPC integration, you’ll help build and maintain our interfaces with SLURM and other open HPC stacks.

Responsibilities:

• Lead the design and development of our HPC software stack integrations
• Establish best practices for code development, quality assurance, documentation, and continuous integration and deployment
• Lead and participate in code reviews
• Effectively self-manage projects, priorities, deadlines, and deliverables; Identify, track and mitigate execution roadblocks and technical risks
• Mentor junior staff members; we’ll ultimately be building a team around you!
• Help minimize overhead between classical and quantum resources through efficient scheduling and parallelization

You’d be a good fit with:

• Bachelor’s degree in Computer Science, IT or equivalent practical experience -- untraditional backgrounds are welcome and encouraged!
• 13+ years experience in software engineering
• 5+ years experience of open source contributions
• 2+ years experience with Slurm or other HPC batch schedulers (LSF, PBS, GridEngine, etc.) and/or other HPC technologies
• Familiarity with containerization technologies such as Docker and container orchestration platforms like Kubernetes or Microk8s
• Familiarity with MPI or other multiprocessing schemes
• Experience with workflow orchestration tools (Argo Workflows, Kubeflow)
• Significant experience with system languages like C/C++ or Go, and advanced scripting in Python
• Established experience in Linux operating system, environment, and tools

You’d be a great fit with:

• 15+ years experience in software engineering
• 10+ years experience of making open source contributions  
• 5+ years in High Performance Compute cluster management
• 2+ years experience as an open source project maintainer with an active community
• Expert-level knowledge of Fortran and/or C
• Familiarity with quantum software stacks like MQSS or OpenQSE
• Familiarity with distributed computing frameworks like Ray or Dask
• Experience with GPU programming models such as CUDA (or even better: CUDA Quantum)
• Expert analysis skills in areas like statistical testing, modeling and general optimization
• Knowledge of one or more domains of computational physics (PDEs, n-body, large-dimension integration, stochastic systems, ...)
• Familiarity with common machine learning frameworks like PyTorch or TensorFlow
• Exposure to quantum physics and/or quantum information science

Location: This is a hybrid role based at our headquarters in College Park, MD or at our Bothell, Washington facility.
Travel: 10%
Job ID: 1135

The approximate base salary range for this position is $187,358- $245,300. The total compensation package includes base, bonus, and equity.

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.

About the Role

We're looking for a Head of Performance Marketing, Agentic / AI-First who operates like a builder, thinks like a scientist, and executes like a founder. Someone who writes their own landing pages, ships their own tests, and treats AI agents as the most important hire they'll ever make.

This isn't a role for a paid media executive who manages managers. It's for an analytically rigorous, deeply curious operator who wants to rebuild how paid media runs at a modern B2B company — with Claude Code in one hand, a performance dashboard in the other, and a bias toward shipping.

You'll take our strong B2B foundation and transform it into an AI-native growth engine: higher testing velocity, tighter feedback loops, better creative, and an operating model where a small team with great tools outperforms a large team with good ones.

What You'll Own

1. An AI-Native Paid Media Operation

Own all paid channels — Search, Paid Social, Display/Programmatic, review sites, retargeting, and emerging platforms — and rebuild how they run from the inside.

• Use Claude Code, agents, and lightweight engineering to automate the work that today eats channel manager time: RSA generation with character-limit validation, SKAG structures, conversion upload pipelines, bid adjustments, audience syncs, creative QA, reporting.
• Stand up self-serve landing page infrastructure so campaigns don't wait on design or dev cycles. You should be comfortable shipping an LP yourself when the situation calls for it.
• Pioneer agentic workflows across targeting, messaging, platform ops, and optimization — not as a side project, but as the default way work gets done.
• Manage multi-million-dollar budgets with discipline while maintaining the velocity of a team several times your size.

2. A Real Experimentation Engine

Build the system that turns spend into learning.

• Design and run a high-throughput testing operation across creative, LPs, audiences, offers, and channels.
• Define clear hypothesis → test → read → scale-or-kill loops with honest statistical rigor. No vanity wins, no p-hacking, no narrative over data.
• Be the person on the team most willing to be wrong and fastest to update. Truth-seeking is the job.
• Use AI to 10x the rate at which variants get produced, shipped, read, and retired.

3. The Operating Model

Build the systems that let the team move fast without breaking things.

• Campaign templates, QA, taxonomy, routing — reimagined as code, agents, and lightweight tooling rather than wikis and checklists.
• Enablement for channel managers so they operate at the same velocity and quality bar you set for yourself.
• A shared standard for what "good" looks like across segments and regions.

What You Bring

• 8–12+ years in Paid Media, Performance Marketing, Growth, or Acquisition — with a track record of building systems, not just running them.
• Hands-on fluency with AI tooling: Claude, Claude Code, ChatGPT, agents, and whatever ships next quarter. You've replaced meaningful parts of your own workflow with AI and can show your work.
• Comfort with light coding and technical systems: Python or JS, APIs, Google Sheets as a serious tool, scrappy scripts, JSON, landing page stacks. You don't need to be an engineer, but you can't be afraid of a terminal.
• Deep channel mastery paired with genuine creative sensibility. You can critique an ad, diagnose a funnel, and rewrite a headline.
• Analytical rigor. You can tell the difference between a real lift and a coincidence, and you care about the difference.
• B2B experience required; B2C growth experience strongly preferred — we want the instincts that come from operating in high-velocity consumer environments.
• Intellectually honest, curious, and low on ego. You want to find out what's true more than you want to be right.

Why This Role Matters

Paid media at most B2B companies is run the way it was run in 2018, with AI sprinkled on top. We're rebuilding it for how work actually gets done now. This role sets the bar — for channel excellence, creative velocity, testing rigor, and what a modern growth team looks like when it's designed around AI from the ground up.

You will directly shape how fast we learn, how efficiently we scale, and how much business we build per dollar spent.

#LI-AP3
#LI-Hybrid

Overview

Black Canyon Consulting (BCC) is searching for a Business Analyst to support the delivery and modernization of mission-critical, web-based digital resources for a federal government client. This role will play a critical part in ensuring the quality, reliability, and backward compatibility of a modernized, enterprise-scale platform.

The QA Engineer will work closely with Product, Business Analysts (BAs), Engineers, User Experience (UX), and client stakeholders to validate requirements, define test strategies, and ensure new functionality meets both user expectations and feature parity with the legacy system. This role requires strong analytical skills, attention to detail, and a collaborative mindset, as well as hands-on experience with automated and manual testing in Agile environments.

 Duties & Responsibilities:

Overview

Black Canyon Consulting (BCC) is searching for a Senior Full Stack Engineer with strong back-end experience to support the ClinicalTrials.gov (CTG) program at the National Institutes of Health (NIH). This role will focus on designing and implementing scalable back-end services for a modernized, enterprise-level data submission platform that must achieve full functional parity with a legacy system while improving maintainability, reliability, and performance.

A key responsibility of this role includes studying legacy codebases and existing business rules, understanding complex regulatory and workflow logic, and translating that functionality into clean, well-architected services in the new system. Experience understanding server-side templates will be helpful.

The ideal candidate will help ensure the back-end architecture supports scalability, containerization, observability, and modern DevOps practices aligned with cloud-native principles.

You will work as part of a highly collaborative, cross-functional team (including Front-end Engineers, Product Managers, UX Designers, QA, DevOps, and client stakeholders) to deliver a mission-critical platform supporting clinical research data used by hundreds of thousands of users daily.

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.