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

Your Role:

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

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

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

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

Your Opportunity:

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

What You’ll Need:

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

And Ideally:

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

#LI-LP1

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

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

Your Opportunity:

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

What You’ll Need:

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

And Ideally:

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

#LI-MS1

The Senior Manager Internal Audit - IT is a strategic transformation leader responsible for the organization’s technology risk landscape. This role goes beyond traditional oversight; you will act as a technologist within the audit function, leveraging AI and data science to automate control environments while ensuring the digital backbone of our global operations—including Manufacturing and M&A integrations—remains secure, compliant, and efficient.

Individual contributor with significant leadership and cross-functional influence

Responsibilities: 

Innovation, AI & Audit Transformation

• AI-Enabled Control Testing: Architect and implement AI/Machine Learning models to transition from manual sample-based testing to 100% population testing.
• Annual SOX Audit: Lead SOX IT control design and operating effectiveness including identification of gaps, operating deficiencies, remediation plan and partnership with process owners to optimize control environment 
• Audit Workflow Automation: Leverage Generative AI and Robotic Process Automation (RPA) to automate the documentation of walkthroughs, drafting of audit reports, and the mapping of controls to regulatory frameworks.
• Continuous Control Monitoring (CCM): Partner with IT to build real-time dashboards that monitor key risk indicators (KRIs), moving the department toward a "continuous audit" model.
• Predictive Risk Insights: Use data signals to identify emerging risks in the Quote-to-Cash and Manufacturing cycles before they manifest as material weaknesses.
• Lead the development of automated risk-sensing capabilities and Key Risk Indicators (KRIs) within the ERM framework, leveraging data analytics to provide real-time assurance over tech-stack dependencies and third-party vendor ecosystems

Business Process & Systems Excellence

• Automated Control Testing: Review the automated controls within core value streams such as Quote-to-Cash (Q2C) and Procure-to-Pay (P2P) to ensure data integrity and system reliability.
• Annual SOX Audit: Lead SOX control design and operating effectiveness including ITGC’s,  identification of gaps, operating deficiencies, remediation plan and partnership with process owners to optimize control environment
• SDLC & Implementation: Perform pre- and post-implementation reviews for major system upgrades or ERP deployments to prevent "go-live" control failures.

Business Combinations & M&A Integration

• IT Due Diligence: Lead IT-focused risk assessments for business combinations, evaluating the target company’s security posture and control maturity.
• Post-Merger Integration (PMI): Direct the integration of acquired entities into the corporate Internal Control Framework (COSO), managing the risks associated with data migration and system cutovers.

SOX & Regulatory Compliance (GovCon Focus)

• ITGC Ownership: Lead the testing of IT General Controls (ITGC) and IT Application Controls (ITAC) for SOX 404 compliance.
• Regulatory Standards: Ensure IT systems meet stringent government contracting standards, including NIST 800-171, CMMC, and FAR/DFARS requirements.

You’d be a good fit with: 

Experience & Education

• Education: Bachelor’s degree in Management Information Systems (MIS), Computer Science, or Accounting.
• Experience: 8–10+ years of progressive experience in IT Audit, IT Risk, or Cyber Consulting (Big 4 or large-scale complex corporate environments preferred).

Technical & Professional Skills

• Certifications: CISA required. CISSP, CRISC, or CISM highly preferred.
• Framework Mastery: Deep understanding of COBIT, NIST, ISO 27001, and the COSO Internal Control Framework.
• Influencing Without Authority: Exceptional "executive presence" with the ability to translate complex "tech-speak" into actionable business risks for senior leadership and IIA Standards.

You’d be a great fit with:

• M&A Track Record: Proven experience managing IT control transitions during business combinations or system consolidations.
• Industry Savvy: Strong background in manufacturing or organizations engaged in government contracting.“Nice-to-haves” / desired or preferred experience
• Modern Audit Toolkit: Hands-on experience with SQL, Python, or AI-based audit tools (e.g., Alteryx, MindBridge, or custom GPT agents). 
• Systems & Data: Proficiency in ERP systems (Netsuite/Oracle, Snowflake/DataBricks)

Location: College Park, MD
Travel: Up to 25% 
Job ID: 1383

The approximate base salary range for this position is $128,445 - $167,497. The total compensation package includes base, bonus, and equity.

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are 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.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

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. 

ROLE & RESPONSIBILITIES: 

• Support CMS Hub initiatives focused on technical problem-solving, innovation, and modernization.
• Assist in identifying technical challenges, system gaps, process inefficiencies, and improvement opportunities.
• Analyze technical or operational issues and help develop practical solution recommendations.
• Support research related to digital tools, data systems, automation, cybersecurity, cloud, AI, or emerging technologies.
• Contribute to technical documentation, workflow analysis, testing support, and issue tracking.
• Assist with data review, trend identification, and preparation of technical findings.
• Collaborate with team members to explore solutions that improve efficiency, reliability, usability, and service delivery.

REQUIRED EXPERIENCE: 

• Strong interest in technology, data, systems, healthcare technology, or digital transformation.
• Ability to analyze problems, organize information, and communicate findings clearly.
• Basic experience with Microsoft Excel, PowerPoint, Word, Teams, or similar tools.
• Ability to learn new systems, tools, and technical concepts quickly.
• Strong attention to detail, critical thinking, and problem-solving skills.
• Ability to work collaboratively and complete assigned technical or analytical tasks.

PREFERRED EXPERIENCE: 

• Academic, internship, volunteer, or project-based exposure to IT, data analytics, software development, cybersecurity, cloud, AI, automation, or systems analysis.
• Familiarity with tools or concepts such as SQL, Python, Power BI, Tableau, Jira, GitHub, APIs, databases, Agile, testing, or technical documentation.
• Exposure to healthcare technology, federal programs, public-sector systems, or process improvement.
• Experience reviewing data, identifying patterns, preparing summaries, or supporting technical recommendations.
• Interest in applying technology to improve healthcare operations and public service delivery.

EDUCATION & CERTIFICATIONS:

• Currently enrolled in, or recently graduated from, an accredited high school, associate’s, bachelor’s, or graduate-level program.
• Preferred fields of study include Computer Science, Information Technology, Data Science, Cybersecurity, Engineering, Health Informatics, Public Health, Business Analytics, Mathematics, Statistics, or related fields.
• No specific certifications required.
• Relevant coursework, bootcamps, technical training, or certifications in data analytics, cloud computing, cybersecurity, Agile, AI, or programming are beneficial.

As the Cybersecurity Analyst Tier 3, you are responsible for overseeing and managing the daily activities of the Security Operations Center for our federal customer. Your role involves helping to lead a team of security analysts and engineers who monitor, detect, analyze, and respond to security incidents and threats in an organization's IT environment. As a Cybersecurity Analyst T3, you play a critical role in safeguarding the organization's assets, data, and reputation from cyber threats. Leadership skills, technical expertise, and a deep understanding of cybersecurity concepts are essential for success in this role. The physical worksite for this position is located in Rockville, MD.  This position requires that ability to obtain and retain a public trust level security clearance. An active CISSP, CISM, or CISA is required for consideration for this position.  US Citizenship is required for this role.

Role and Responsibilities

• Team Management: You are managing highly complex cybersecurity issue resolution while training and mentoring Tier 1 and Tier 2 Analysts. This involves hiring, training, and mentoring security analysts, engineers, and other team members. You will help ensure that each team member understands their roles, responsibilities, and goals within the SOC.
• Effectively communicate information to stakeholders of all levels.
• Incident Response: Coordinating the response to security incidents is a crucial aspect of your role. When a security incident occurs, you will help guide the team in analyzing and containing the threat, mitigating the impact, and initiating recovery procedures.
• Security Monitoring and Detection: Overseeing the continuous monitoring of security events and alerts to identify potential security breaches or threats. This includes analyzing logs, network traffic, and security tools to detect anomalous behavior and suspicious activities.
• Threat Intelligence: Keeping abreast of the latest security threats, vulnerabilities, and attack techniques is essential. You will be responsible for integrating threat intelligence into your SOC's processes and ensuring the team is well-informed about emerging risks.
• Incident Analysis and Reporting: The Tier 3 team will investigate and analyze security incidents to understand their root cause and potential impact. You will generate incident reports for both technical and non-technical stakeholders, including management and relevant authorities.
• Security Tooling and Technology: Evaluating and implementing security technologies, such as SIEM (Security Information and Event Management) systems, intrusion detection/prevention systems, and other security tools that enhance the SOC's capabilities.
• Process Improvement: Continuously improving SOC procedures, workflows, and playbooks to streamline incident response and enhance overall security operations.
• Collaboration: Working closely with other teams in the organization, such as IT, network operations, compliance, and legal, to ensure effective communication and coordination during security incidents.
• Compliance and Regulations: Ensuring that the SOC operates in compliance with relevant security standards, regulations, and policies.
• Training and Awareness: Conducting regular security awareness training for employees to enhance the overall security posture of the organization.

Qualifications:

• 5+ years of experience within a cybersecurity environment; including 3+ years of experience in a cybersecurity SOC leadership role is required.
• Bachelor’s degree in computer science, or a related field; or 5+ years of commensurate work experience in lieu of a degree.
• Endpoint and network security experience required.
• Experience in a security operations center, or similar environment, and identifying indications of compromise or attack and responding to incidents.
• Robust certification credentials such as: CISSP, CISM, CISA, required, additional certifications such as Network+, CEH, SANS FOR578: Cyber Threat Intelligence, SANS FOR508: Advanced Incident Response, Threat Hunting, and Digital Forensics, Splunk Core Certified Advanced Power User, Splunk Administrator, and Splunk SOAR administrator are preferred.
• Knowledge of MITRA attached framework.
• Vulnerability/cyber incident management framework
• Experience in SOC Tier 3, mentoring a team of cybersecurity professionals.
• Experience with digital forensics and process
• Knowledge of Splunk, Crowdstrike, tenable, forescout, Xscalar, BigFix, MS360, Encase, Fireeye, Cortex SOAR XDR, Prisma

Preferred Skills and Experience:

• IDS, IPS, EDR, ATP, Malware defenses and monitoring experience.
• Threat hunting experience preferred.
• Knowledge of common adversary tactics and techniques, e.g., obfuscation, persistence, defense evasion, etc.
• Working knowledge of incident response procedures.
• Experience with SQL query construction preferred.
• Experience administering and supporting Windows OS (both workstations and server) and one of the following: Apple or Linux-based operating systems.
• Fundamental understanding of network traffic analysis including TCP/IP, routing, switching, protocols, etc.
• Strong understanding of Windows event log analysis
• Experience with enterprise information security data management - SIEM experience a plus.
• Programming and scripting skills a plus.
• Excellent troubleshooting and analytical thinking skills
• Strong documentation and communication skills
• Advanced Cyber Security certifications preferred but not required.
• Excellent customer service skills

Compensation: The salary range for this position is $130,000 to $140,000 per year based and is based on experience and certifications levels.

Benefits: Health, dental, and vision insurance; 401(k) with employer match; paid time off; professional development opportunities.

#LI-OnSite

Position Overview 

The Strategic Finance & Performance Manager (Network Planning & Analytics) is responsible for developing financial models, forecasting deployment costs, and driving performance analytics to support capital‑efficient satellite‑RAN planning. This role ensures financial alignment with rollout priorities, investment decisions, and the broader global network expansion strategy. 

By integrating financial modeling with system‑level performance insights, the Strategic Finance & Performance Manager delivers critical analysis on deployment economics, cost drivers, and performance trade‑offs. This role directly shapes investment prioritization, deployment sequencing, and long‑term network planning decisions—ensuring financial discipline while enabling scalable, data‑driven global network growth. 

Key Responsibilities 

Financial Modeling & Forecasting 

• Lead development of detailed financial models supporting satellite‑RAN rollout, cost planning, and long‑term investment strategies. 

• Create deployment cost forecasts, scenario models, and financial projections aligned with network planning milestones. 

• Assess financial impacts of rollout sequencing, system architecture decisions, and network design trade‑offs. 

Deployment Economics & Investment Analysis 

• Evaluate economics of market entry, site deployment, satellite‑RAN integration, and scaling approaches. 

• Analyze capital efficiency across deployment phases, technologies, and market geographies. 

• Support investment prioritization by comparing ROI, payback, unit economics, and cost‑per‑coverage metrics. 

Performance Analytics & Operational Insights 

• Develop performance analytics frameworks that link financial outcomes with engineering and operational performance. 

• Identify drivers of deployment cost variance, efficiency gaps, and value‑creation levers across the network plan. 

• Translate performance insights into actionable recommendations for system‑level planning and portfolio optimization. 

Cross‑Functional Strategy Alignment 

• Collaborate with engineering, network planning, procurement, and operations to align financial models with technical realities. 

• Work closely with strategy and program teams to integrate financial inputs into deployment timelines and global expansion plans. 

• Provide financial guidance during design changes, rollout strategy adjustments, and major architecture decisions. 

Stakeholder Reporting & Strategic Support 

• Deliver financial insights, dashboards, and presentations that support executive decision‑making. 

• Provide finance‑driven recommendations for rollout sequencing, vendor decisions, and geographic prioritization. 

• Support long‑term business planning, budgeting cycles, and capital allocation reviews. 

Deliverables 

Primary Contract Deliverables: 

• Comprehensive financial models for satellite‑RAN rollout scenarios, cost forecasts, and long‑term planning. 

• Deployment economics analyses including ROI, IRR, unit economics, and capital efficiency assessments. 

• Performance analytics reports linking financial outcomes with engineering and operational metrics. 

• Monthly or quarterly financial dashboards supporting leadership decision‑making. 

• Investment prioritization frameworks and recommendations for market sequencing. 

• Cost variance analyses and efficiency improvement insights for ongoing deployment programs. 

• Budget inputs, forecast updates, and financial support for multi‑year network planning cycles. 

• Financial review packages for network planning milestones and architectural decision checkpoints. 

• Consolidated cross‑functional financial insights integrating engineering, planning, and business strategy inputs. 

Qualifications 

Education 

• Bachelor’s degree in finance, economics, business, engineering, or a related analytical field. 

• Master’s degree (MBA, MS Finance, or similar) preferred. 

Experience 

• 5+ years of experience in strategic finance, corporate finance, FP&A, investment analysis, or performance analytics. 

• Experience in telecommunications, network planning, satellite systems, or large‑scale infrastructure industries. 

• Proven record of developing complex financial models and supporting capital deployment decisions. 

• Prior experience with telecom network cost modeling, satellite/RAN economics, or infrastructure investment planning is a strong advantage. 

• Background supporting multi‑market or global expansion strategies is beneficial. 

Required Technical Expertise 

• Expertise in financial modeling, forecasting, and scenario analysis. 

• Strong understanding of unit economics, cost modeling, ROI/IRR calculations, and capital efficiency metrics. 

• Ability to interpret engineering inputs (network design, deployment phases, system trade‑offs) and convert them into financial frameworks. 

• Experience with performance analytics, data interpretation, and metric development. 

• Advanced command of Excel, financial modeling tools, and data analysis platforms. 

• Familiarity with analytics tools such as SQL, Python, Tableau, or Power BI is advantageous. 

• Understanding of technology‑driven cost structures, OpEx vs. CapEx frameworks, and large‑scale deployment modeling. 

Professional Skills 

• Strong analytical, quantitative, and problem‑solving skills. 

• Ability to communicate complex financial analysis in a simple, actionable way. 

• High attention to detail and strong organizational discipline. 

• Collaborative approach, especially with engineering, planning, operations, and procurement teams. 

• Ability to work effectively in a fast‑paced environment with competing priorities. 

• Strong stakeholder management and cross‑functional communication skills. 

• Ability to support strategic planning and provide clear recommendations during ambiguity or evolving technical requirements. 

Technology Proficiency 

• Advanced proficiency in Excel and financial modeling software. 

• Experience with data analytics tools (Python, SQL, Tableau, Power BI) is an advantage. 

• Strong working knowledge of Microsoft Office Suite (PowerPoint, Word). 

• Comfort working with financial databases, planning systems, and forecasting tools. 

Physical Requirements 

• Ability to work in a standard office environment and operate a computer for extended periods. 

• Occasional travel may be required for cross‑functional workshops, planning sessions, or site evaluations. 

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 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. 

Position Overview 

The Data Governance Manager ensures end‑to‑end governance of satellite network data by establishing and maintaining standards, lineage, controls, and data‑quality frameworks that support reliable analytics for BPMS, RAN planning, mobility modeling, and regulatory reporting. This role defines data policies, validates data integrity, manages catalogs and lineage, enforces compliance, and ensures datasets meet engineering and planning requirements for accurate forecasting and operational decision‑making. The position reports to the Director of Network Planning & Analytics. 

This role is responsible for ensuring the trustworthiness, consistency, and governance of all satellite‑network data used for planning, modeling, and regulatory submissions. The Data Governance Manager establishes governance standards, lineage practices, and quality controls that enable dependable analytics across BPMS, RAN planning, and mobility modeling. By enforcing data‑quality and compliance standards, the role underpins accurate forecasting, defensible regulatory reporting, and sound operational decisions at scale. 

Key Responsibilities 

Data Governance Framework & Policy Management 

• Establish data governance models, principles, and operating processes for satellite‑network datasets. 

• Define and enforce data policies, standards, classification rules, lifecycle guidelines, and governance controls. 

• Integrate governance requirements into planning workflows, data pipelines, and change management processes. 

Metadata, Lineage, Cataloging & Data Quality 

• Maintain data catalog, glossary, metadata repositories, and end‑to‑end lineage for critical planning and mobility datasets. 

• Ensure data discoverability, semantic consistency, and traceability across engineering and analytics systems. 

• Set data quality SLAs/SLOs, implement automated checks, and lead remediation for issues impacting planning accuracy or regulatory reporting. 

Compliance, Risk Management & Cross‑Functional Alignment 

• Ensure data compliance with regulatory reporting, internal governance, and audit requirements. 

• Maintain audit‑ready artifacts and evidence of lineage, access governance, and data controls. 

• Define stewardship roles, collaborate with planning, engineering, and analytics teams, and align data definitions with system‑level needs. 

Analytics Enablement, Change Control & Reporting 

• Certify trusted datasets for BPMS analytics, RAN planning, mobility modeling, and forecasting. 

• Govern schema changes, version control, and data lifecycle evolution across platforms. 

• Deliver dashboards and reporting on data quality, lineage completeness, control adherence, risks, and remediation status. 

Deliverables 

• Data governance charter and operating model; documented policies, standards, and control catalogs. 

• Enterprise data catalog with business glossary, certified data products, and end‑to‑end lineage maps. 

• Data quality framework with rules, SLAs/SLOs, scorecards, monitoring, and remediation workflows. 

• Stewardship model with ownership matrix (RACI), steward roster, and council meeting cadence notes. 

• Approved data models and definitions for BPMS, RAN planning, mobility modeling, and regulatory datasets. 

• Access governance artifacts (classification, RBAC/ABAC matrices), audit logs, and evidence packs. 

• Change management procedures covering schema/versioning, impact assessments, and rollback plans. 

• Quarterly governance dashboards (DQ trends, lineage completeness, incidents, SLA adherence). 

• Regulatory reporting data packs with traceable lineage, control evidence, and sign‑off records. 

• Deployment readiness “data certification” checklists for market activation and ongoing operations. 

Qualifications 

Education 

• Bachelor’s degree in Computer Science, Data/Information Systems, Engineering, or a related field. 

• Master’s degree (Data/Information Management, Analytics, or similar) is a plus. 

Experience 

• 5+ years in data governance, data management, or metadata/lineage/data quality leadership roles. 

• Experience governing analytics for telecom/satellite, networks, or other complex, regulated data environments. 

• Proven track record establishing policies/standards, implementing catalogs/lineage, and enforcing data quality controls. 

• Demonstrated cross‑functional leadership partnering with engineering, analytics, and regulatory stakeholders. 

Required Technical Expertise 

• Data governance frameworks and artifacts (policies, standards, stewardship, RACI, control catalogs). 

• Metadata/lineage management and data catalog administration (e.g., Microsoft Purview, Collibra, Alation, Apache Atlas, Unity Catalog). 

• Data quality frameworks and tooling (rule‑based and statistical checks; DQ SLAs, scorecards, monitoring, remediation). 

• Master & reference data management (MDM/RDM) and semantic modeling (conceptual/logical/physical). 

• Access governance (RBAC/ABAC), data classification, PII handling, encryption, and audit logging. 

• Cloud data platforms and pipelines (Azure/AWS; Databricks/Spark; Snowflake/Redshift; Synapse/Delta Lake). 

• Practical understanding of network/satellite data domains (telemetry, coverage/traffic KPIs, mobility events, spectrum/logs, cost/deployment data). 

Professional Skills 

• Structured, detail‑oriented problem solving with a strong documentation mindset. 

• Ability to translate regulatory and engineering requirements into clear data controls and standards. 

• Excellent stakeholder management and communication across technical and non‑technical audiences. 

• Change management leadership for data lifecycle governance and platform evolution. 

• Ability to prioritize in a fast‑paced environment and drive outcomes through influence. 

Technology Proficiency 

• SQL for profiling and validation; familiarity with Python/Spark for quality rules and data tests. 

• Experience with data catalogs, lineage tools, and DQ platforms; BI tools (Power BI/Tableau) for governance dashboards. 

• Working knowledge of CI/CD for data (versioning, release pipelines) and collaboration tools (Jira/Confluence). 

• Strong proficiency with Microsoft Office Suite (Excel, PowerPoint, Word); Windows/Linux environments. 

Physical Requirements 

• Ability to work in a standard office or lab environment and operate a computer for extended periods. 

• Occasional travel for cross‑functional workshops, audits, and market activation readiness reviews. 

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. 

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

Your Role:
Join our Technical Support Team at Tenable where you’ll play a pivotal role in bridging the gap between our products and customers. Solve real-world technical challenges by offering exceptional support for cutting-edge vulnerability assessment and compliance auditing software. Your expertise will shine in complex, multi-layered customer environments. Our suite of products, detailed at https://www.tenable.com/products, offers a diverse range of opportunities. From assisting customers with their first Nessus scanner to guiding them through intricate log correlation and real-time vulnerability analysis, you'll contribute to mitigating cyber risks and closing the Cyber Exposure gap. Join us in delivering top-notch support that makes a difference!

Your Opportunity: 

• Work closely and build relationships with the rest of the Tenable team, including Sales, Customer Advocacy, Research & Development, and Operations
• Troubleshoot, analyze and address customer technical inquiries and  ensure timely problem resolution
• Use remote troubleshooting techniques to troubleshoot and correct issues
• Analyzing vulnerability scan results, system audits, and log events
• Help customers understand vulnerability scan results, system audits, and/or log events and provide clear, concise, and actionable information to quickly resolve issues
• Recreate customer software issues in a lab environment for engineering assessment
• Ensure customer feedback is properly captured and channeled into Product Management and Research & Development
• Maintain in-depth knowledge of Tenable products and information security best-practices
• Create and publish solution knowledge for re-use by customers and Tenable employees
• Continually review personal performance metrics to ensure goals are consistently met
• May perform other duties and responsibilities that management may deem necessary from time to time
• Opportunities for career advancement within Technical Support as well as other organizations within Tenable

What You'll Need:

• Bachelor’s degree in a technical field or equivalent experience
• 2+ years professional experience with networking (TCP/IP), Linux/Unix, macOS, Windows administration, patch deployment, and system configuration
• Experience providing technical support to enterprise clients, troubleshooting complex issues in production or customer environments; network security experience a plus
• Demonstrated interest in AI and Large Language Models (LLMs), with hands-on experience professionally or personally. Willingness to adopt and help evolve AI-driven tools designed to accelerate case resolution and elevate the customer experience
• Knowledge of computer, network, and application security; familiarity with Nessus or similar tools is a bonus
• Strong analytical and problem-solving skills, with the ability to learn quickly
• Excellent written and verbal communication; customer-focused mindset
• Ability to manage multiple priorities in a fast-paced environment to help meet business and client needs
• Flexibility to work occasional weekends or holidays
• Must be able to work hybrid/onsite at HQ in Columbia, MD

And Ideally:

• Using Nessus and/or other vulnerability management or cybersecurity tools, either professionally or in an academic setting
• Experience with ticketing systems (JIRA, Salesforce, Zendesk etc)
• Log analysis using a SEIM product (Splunk, ElasticSearch, etc)
• Database technologies and SQL knowledge (Oracle, MySQL, MSSQL, etc)
• Virtualization technology (VMWare, Hyper-V, Amazon AWS, Microsoft Azure, Docker, etc)
• Fundamental understanding of programming languages
• Experience in Industry Security Standards (DISA, HIPAA, CIS, ISO 27001, etc)
• Experience with or understanding of Certificates and CA’s
• Basic understanding of reviewing PCAPs with tools such as Wireshark
• Bilingual candidates are desirable but not required (Spanish, Portuguese)

#LI-Hybrid

#LI-MM1

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.

ZoomInfo is seeking a Senior Product Manager, Identity to own the intelligence layer that connects digital signals to real-world business outcomes. In this high-impact role, you'll be responsible for the identity resolution engine that de-anonymizes web traffic, links visitors to companies and contacts, and powers products like WebSights and FormComplete.

As a Senior PM, you'll work at the intersection of platform engineering, data science, and customer value creation. You'll drive systematic improvements to visitor-to-person and IP-to-company match rates, integrate new data sources, and ensure identity data flows seamlessly across ZoomInfo's GTM Intelligence Platform. Your work directly impacts how thousands of customers identify, engage, and convert their ideal buyers.

What You'll Do:

• Strategic Leadership

  • Own product strategy and roadmap for identity resolution, defining vision and success metrics that drive measurable improvements in match rates and customer value
  • Identify and prioritize opportunities to enhance identity resolution through new data sources, improved algorithms, and better data quality
  • Evaluate, negotiate, and integrate 3rd party data partnerships that expand identity coverage and accuracy
  • Define and track core metrics including visitor-to-person match rates, IP-to-company accuracy, coverage, latency, and downstream revenue impact
  • Partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption

  Execution Excellence

  • Deliver measurable improvements to identity resolution performance through rigorous prioritization, rapid experimentation, and iterative execution
  • Diagnose and resolve data quality issues that impact match rates, customer trust, and product experience
  • Build scalable monitoring and alerting systems that track identity resolution health and enable proactive issue detection
  • Create frameworks for evaluating new data sources and measuring their incremental impact on resolution performance
  • Conduct deep discovery using data analysis, customer interviews, and competitive research to uncover opportunities for improvement

  Cross-Functional Partnership

  • Partner with Platform, Application, and Data teams to ensure seamless integration of identity data into customer-facing products
  • Collaborate with data science and engineering to solve complex problems in entity resolution, probabilistic matching, and signal enrichment
  • Work with analytics teams to instrument metrics, build dashboards, and enable data-driven decision making
  • Enable go-to-market teams through training, documentation, and competitive positioning
  • Ensure compliance with global privacy regulations (GDPR, CCPA) and maintain privacy-by-design principles

What You Bring:

• Required Qualifications

  • 5+ years of product management experience in data-intensive B2B SaaS environments, with focus on data products, identity systems, or platform-level capabilities
  • Deep understanding of identity resolution, entity matching, IP-to-company mapping, visitor identification, and the evolving privacy landscape
  • Technical fluency with SQL, Snowflake, and BI tools (Tableau, Looker) - ability to independently analyze data, diagnose issues, and make data-driven decisions
  • Proven track record identifying, diagnosing, and resolving data quality issues at scale with understanding of coverage, accuracy, and freshness trade-offs
  • Cross-functional leadership - demonstrated ability to influence and align engineering, product, data science, and go-to-market teams without formal authority
  • Customer-centric mindset with experience optimizing adoption funnels and driving engagement for technical products
  • Excellent communication skills - ability to translate complex technical concepts into clear, value-based narratives for executives and customers
  • Bias for action - track record of moving quickly from insight to execution with iterative, test-and-learn approach
  • B2B SaaS experience with enterprise data products, platform products, or GTM tools

  Preferred Qualifications

  • Experience with AdTech, MarTech, or Real-Time Bidding (RTB) ecosystems
  • Background in data science, engineering, or analytics prior to product management
  • Experience with customer data platforms, audience targeting, attribution, or cookieless solutions
  • Familiarity with 3rd party data sourcing, evaluation, and integration
  • Experience with probabilistic matching, entity resolution, or graph-based identity systems
  • Knowledge of data privacy regulations and their product implications
  • Experience in sales intelligence, marketing technology, or revenue operations domains
  
  

  Why ZoomInfo?

  • Industry Leader: Power the go-to-market strategies of 35,000+ companies worldwide
  • Data at Scale: Work with one of the largest and most comprehensive B2B databases in the world
  • Innovation Culture: Ship fast, learn faster. We value experimentation and continuous improvement
  • Impact: Your work directly impacts how customers identify and engage their ideal buyers
  • Growth: Join a company that's rapidly expanding product offerings and market leadership
  • Team: Work with world-class product, engineering, data science, and go-to-market teams

#LI-VC1

#LI-Hybrid

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

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

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

What You’ll Do

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

What We’re Looking For

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

AI-Native Development Mindset

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

Bonus Points

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

#LI-SK1

#LI-Remote

AI Demand Innovation Specialist 

 
The Opportunity  
 
We're looking for an AI Demand Innovation Specialist to join our team in Toronto as part of our Sales function. The AI Demand Innovation Specialist will play a critical role in optimizing our sales AI-powered technology stack & it’s integrations, supporting Sales team pipeline campaigns, and enabling data-driven decision-making across the revenue organization.  

This role requires significant experience with Salesforce, HubSpot (Marketing & Sales Hub), other GTM technologies, and the ability to partner with sales, marketing and RevOps stakeholders to drive operational excellence. This is an exciting opportunity for a detail-oriented, tech-savvy individual who is passionate about building scalable processes, leveraging AI, and bridging the gap between sales & marketing. You’ll have the chance to shape how we utilize tools, data, and AI-automation to accelerate growth. 
 
What You Will Do: 
 
In this role, you’ll support and enhance our Sales support infrastructure to ensure the effectiveness of our demand generation and revenue programs. Responsibilities include: 
 

• Support, optimize, and troubleshoot various Sales tooling & it’s AI capabilities, ensuring team members can work effectively. 

• Build, maintain, and optimize AI workflows, lead flows, and scoring frameworks to improve funnel health. 

• Maintain integrations between HubSpot, Salesforce, and other tools to ensure data accuracy and consistency. 

• Enable AI-supported campaign execution by aligning marketing signals with sales actions. 

• Partner with the Marketing & Demand Generation teams to support campaign execution  

• Work with RevOps to build performance reporting, including pipeline attribution and ROI analysis. 

• Assist with data hygiene projects across various data sources, ensuring accurate lead, contact, and account information. 

• Identify opportunities for process improvements and automation across the Sales function. 

• Partner with Sales Operations to align on lead routing, qualification, and reporting. 

Who You Are: 
 

• 3+ years of hands-on Sales or Marketing Operations experience, with expert-level HubSpot (Marketing Hub), Salesforce, and AI knowledge. 

• Proven ability to deploy AI-powered automation across GTM workflows (lead routing, enrichment, follow-ups, task creation), CRM integrations (Salesforce), and Sales engagements. 

• Experience using AI for pipeline analysis, forecasting support, and deal risk identification 

• Deep understanding of lead management, scoring, routing, and pipeline development. 

• Experience with BI/reporting tools is a plus. 

• Experience with basic coding/scripting (SQL, Python, Javascript, APIs (Postman), Version Control (Git) is a plus. 

• Strong written and verbal communication skills to effectively collaborate internally with colleagues and externally with clients. 

• Team player with a genuine desire to contribute to the overall success of the entire team.  

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

POSITION TITLE: Software Engineering Instructor 

REPORTS TO: Manager Director

LOCATION: Silver Spring, MD 

WHO WE ARE LOOKING FOR: 

Per Scholas is seeking a Technical Instructor to deliver high-end technical training to underemployed and unemployed community residents for purposes of higher economic development and improvement of quality of life. The Technical Instructor must be self-directed and self-motivated, and comfortable with making intermediate-level decisions to adapt processes and curriculum delivery based on current conditions. The Technical Instructor works in collaboration with peers with learner support and works with the Managing Director to change policies, procedures, and strategic planning. 

WHAT YOU’LL DO: 

• Deliver technology skills training and assessments to prepare students for entry-level to mid-level careers in the field of software development  Daily instruction, assessment administration, attendance, one-on-one tutoring, evaluation, and monitoring of individual student progress 
• Be Adept in learning new software tools, languages, and technologies as needed. 
• Work closely with the team to identify student needs, provide the necessary support, and establish individualized plans for student achievement 
• Tutor students as needed 
• Work with Career Advance team to ensure alumni are completing additional requirement
• Maintain Salesforce database with student scores and attendance 
• Work with Career Advancement team to ensure volunteers from the business community interact with students as classroom speakers, mentors, and small group coaches 
• Work with Career Advancement team to recommend students for particular employment opportunities 
• Monitor student compliance to attendance and other program policies, and address violations with students in a consistent manner. Work with Manager, Career Advancement to ensure documents such as probationary and termination letters are prepared and delivered. 
• Connect students with the resources necessary for them to overcome their individual barriers to maintaining success in school 
• Create, submit and maintain training curricula for approval and school files. 
• Work closely with the Program Design team to create student content on the PS Academy. 
• Instructors will need to commit a few hours per week to preparing lessons and materials, leveraging existing PS curriculum content. 
• Work closely with co-instructors or teaching assistants to provide students with meaningful and prompt feedback on their progress. 

WHAT YOU’LL BRING TO US: 

Professional Requirements 

• You have at least 2+ years of experience working on a software development team.
• You have working experience in both front-end and back-end development, and are fluent in:
• HTML5 and CSS3
• Full-stack JavaScript (strong JavaScript highly preferred)
• At least one JS MV* framework (Angular, Backbone, or React preferred)
• SQL databases (we generally use PostgreSQL)
• NoSQL (we generally cover MongoDB)
• Express/Node.j
• A Bachelor’s (or Master’s) degree in a related field is preferred but not required. 
• Experience with curriculum, syllabus development, and lesson planning.
• Experience with student assessment; and a talent to continuously evaluate the curriculum to identify what is working and what improvements can be made
• Qualified candidates must be able to comfortably and frequently lift 50lbs 

Personal Characteristics 

• You thrive in a creative, inventive, fast-paced startup environment with people who are passionate about their work and mission. 
• You are data-driven, result-oriented and a forward-looking catalyst for social change. 
• You have a collaborative and flexible work style. You’re excited to work cross-functionally with other departments and independently. 
• You are an effective communicator with strong oral and written skills. 
• You are tech savvy and can learn fast. 
• You are strong at managing your time and you can balance multiple projects and tasks. 
• You stand behind our mission, believing that individuals from any community should be able to access well-paying career positions, and that talent should be recognized and recruited from many diverse sources.

For this role specifically, we are targeting a salary of $70,000/year, with a range between $65,000/year and $75,000/year, where the difference in salary is typically determined by several factors, including geography in which the selected candidate resides, and alignment with qualifications and experience.

#LI-Onsite

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 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

Overview

Black Canyon Consulting (BCC)  is searching for a Senior C++ Software Developer 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.

NCBI, the National Center for Biotechnology Information, the nation’s premier biomedical resource, is seeking a software developer to help deliver biological sequence annotation and data curation infrastructure for the nation’s foremost sequence and biomedical literature repositories. Sites at NCBI, a part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH), see four million daily users searching for gene sequence data, biomedical journal citations, and a wide array of other information that directly impacts biomedical research and public health. NCBI’s annotation pipelines not only serve these diverse expert communities – they actually drive new life sciences discoveries, ranging from medical health (viruses and pandemics, genetic diseases, cancer) to public health (food safety monitoring, antimicrobial resistance, viral outbreaks), to basic research topics in computational biology, bioinformatics and microbial diversity, and many more.

Overview

Black Canyon Consulting (BCC) is searching for a Sr. Software Developer in Bioinformatics and Big Data 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. 

NCBI, the National Center for Biotechnology Information, the nation’s premier biomedical resource, is seeking a software developer to help deliver biological sequence annotation and data curation infrastructure for the nation’s foremost sequence and biomedical literature repositories. Sites at NCBI, a part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH), see four million daily users searching for gene sequence data, biomedical journal citations, and a wide array of other information that directly impacts biomedical research and public health. NCBI’s annotation pipelines not only serve these diverse expert communities – they actually drive new life sciences discoveries, ranging from medical health (viruses and pandemics, genetic diseases, cancer) to public health (food safety monitoring, antimicrobial resistance, viral outbreaks), to basic research topics in computational biology, bioinformatics and microbial diversity, and many more.

On a technical level, NCBI’s wide range of applications, platforms (e.g. node, Python, Django, C++), and applications and environments (petabyte-level big data, multiple cloud providers) serve more users than the US Postal Service and see more traffic than the IRS at tax time. We embrace FAIR principles (Findable, Accessible, Interoperable, Reusable) and are on the cutting edge of civic tech and cloud computing.

This role calls for more than an expert coder and architect – someone who can work equally effectively with subject-matter experts, user researchers, designers, product managers, scientists, security and DevOps engineers, and more. Work with teams of dedicated, skilled developers, researchers, and product professionals as you build robust, flexible solutions serving dozens of production applications, APIs and services. Join us!

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!

Overview

Black Canyon Consulting (BCC) is searching for a Sr. Software Developer in Bioinformatics and Big Data 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. 

NCBI, the National Center for Biotechnology Information, the nation’s premier biomedical resource, is seeking a software developer to help deliver biological sequence annotation and data curation infrastructure for the nation’s foremost sequence and biomedical literature repositories. Sites at NCBI, a part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH), see four million daily users searching for gene sequence data, biomedical journal citations, and a wide array of other information that directly impacts biomedical research and public health. NCBI’s annotation pipelines not only serve these diverse expert communities – they actually drive new life sciences discoveries, ranging from medical health (viruses and pandemics, genetic diseases, cancer) to public health (food safety monitoring, antimicrobial resistance, viral outbreaks), to basic research topics in computational biology, bioinformatics and microbial diversity, and many more.

On a technical level, NCBI’s wide range of applications, platforms (e.g. node, Python, Django, C++), and applications and environments (petabyte-level big data, multiple cloud providers) serve more users than the US Postal Service and see more traffic than the IRS at tax time. We embrace FAIR principles (Findable, Accessible, Interoperable, Reusable) and are on the cutting edge of civic tech and cloud computing.

This role calls for more than an expert coder and architect – someone who can work equally effectively with subject-matter experts, user researchers, designers, product managers, scientists, security and DevOps engineers, and more. Work with teams of dedicated, skilled developers, researchers, and product professionals as you build robust, flexible solutions serving dozens of production applications, APIs and services. Join us!

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!

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:

About Us:

ProShares has been at the forefront of the ETF revolution since 2006. ProShares now offers one of the largest lineups of ETFs, with over $85 billion in assets. The company is a leader in strategies such as crypto-linked, dividend growth, interest rate hedged bond and geared (leveraged and inverse) ETF investing. ProShares continues to innovate with products that provide strategic and tactical opportunities for investors to manage risk and enhance returns.

Position Summary:

The Application Analyst in the Core Business Systems Team is responsible for supporting Investment Applications and related processes. The Analyst will blend financial industry knowledge with technology skills to ensure the needs of each system’s business owners and IT operations group are met. The Analyst monitors and troubleshoots critical day-to-day business processes to ensure key systems are operational, partners with system’s business owner to identify enhancements, ensures continuous improvement in operations, works with stakeholders to gather and define requirements, and helps with projects.

Essential Job Functions^[1]:

• Manage and maintain the company’s Investment Applications such as OMS, IBOR, Collateral System, and Order Taking platforms.
• Analyze and resolve system problems to ensure continuous system operations.
• Document and triage issues and escalate to internal IT team and when applicable 3^rd party system provider.
• Work with business stakeholders and subject matter experts to identify and define system enhancement projects.
• Assist subject matter experts with analysis, planning, design, development, and utilization of Portfolio systems.
• Perform high level and detailed requirements definition, test planning and execution.
• Document requirements and participate in design of various application integration and automation processes.
• Assist with implementing fund changes, building reports, and testing downstream/upstream data in Middle Office systems
• Monitor metrics and develop ways to improve.
• Document key processes and procedures, log critical issues and enhancement tickets in JIRA.
• Assist with project management by coordinating with stakeholders and maintaining project documentation such as issues, risk, and decision logs.
• Assist in developing automated solutions to meet daily operational needs.
• Oversee security master data, and necessary changes are made
• Monitor trade flow between OMS and IBOR
• Work with dealers and custody to improve and optimize workflows
• Build out Electra Reconciliations
• MFT file monitoring of critical files between Portfolio systems
• Facilitate cross-functional understanding of process management needs
• Other duties and responsibilities as assigned.

Education and Experience:

• A Bachelor’s degree in IT, Engineering, Finance, or equivalent job experience.
• A minimum of 2+ years of experience working with OMS and IBOR systems, in-depth understanding of trade lifecycle, fund operations and front-to-middle office functions.
• Strong business analyst experience (requirements gathering, documentation, design, configuration, testing)
• Ability to prioritize and triage multiple production issues.
• Experience working with Eze OMS, Advent, Electra, and FTP processes required.
• Programming languages: Java, Jenkins, Python, SQL, VBA, C#, C++.
• Experience working with Data Warehouse, JIRA, and Confluence preferred.

Knowledge, Skills and Abilities:

• Strong analytical and problem-solving skills.
• Individuals must be well organized and able to work in a team environment.
• Strong communication skills (both oral and written) and the ability to interact with various departments and all levels of management.
• Entrepreneurial spirit encompassing self-starting and high motivation.
• Ability to work independently with initiative and thoroughness.
• Developed time management and organizational skills and ability to properly prioritize work and meet deadlines.

The compensation for this position includes salary and incentive pay. The annual base salary range for this role is $80,000 - $110,000 (USD), which does not include discretionary bonus compensation. Total compensation may vary based on experience, role, location, department, and individual performance.

Our Benefits:

• Competitive pay and discretionary bonus
• Paid time off
• Health care benefits (medical, dental & vision)
• Additional insurance includes basic life, accidental death and dismemberment, supplemental life, disability and legal benefit
• 401(k) retirement plan with matching contribution
• Spending Accounts (Health Care, Dependent Care, and Transportation)
• Wellness Programs (fitness reimbursement, Employee Assistance Program)
• Education assistance
• Hybrid work schedule
• Additional Programs include peer recognition, corporate matching gift

[1] These statements are intended to describe the general nature and level of work involved for this job. It is not an exhaustive list of all responsibilities, duties and skills required of this job. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.