Position: Cybersecurity Engineer Education: Bachelor's degree in computer science, information systems, engineering, or a related scientific or technical discipline. Overview: Kreative Technologies is in search of a cyber-security engineer with extensive experience within the Department of Defense (DoD) who can work independently to perform certification and accreditation (C&A) efforts to achieve Authority to Operates (ATO) accreditations, perform risk assessments (RA) and annual reviews (AR). Responsibilities:

• Assist in the preparation and revision of IA policy and guidance documents for specific cyber-security related technologies.

• Provide critical written and verbal analysis of systems documentation and vulnerability reports and risk assessments.

• Provide C&A support to include interpreting Security Technical Implementation Guidance (STIGs) evaluation for DoD Information Assurance Certification and Accreditation (DIACAP) and Risk Management Framework (RMF).

• Review vulnerability assessments, system security plans, and continuity of operations.

• Plan (COOP) artifacts for compliance.

• Provide input to ad-hoc requests as well as weekly and monthly project status reports.

Education/Skills/ Minimum Qualifications:

• 4+ years of direct experience with cyber security requirements (IA Controls)

• 4+ years of experience working within DoD Services or Agencies

• 4+ years of experience resolving security findings discovered on network devices and operating systems

• 4+ year C&A package review for CA/DAA making risk-based recommendations.

• Excellent oral and written communication skills

Kreative Technologies is an equal opportunity employer and is committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. Kreative Technologies does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.

At Air Products, our purpose is to bring people together to reimagine what’s possible, collaborate and innovate solutions to the world’s most significant energy and environmental sustainability challenges. Grow with us as we embark on building tomorrow together by being the safest, most diverse and most profitable industrial gas company in the world. Reimagine What’s Possible We are excited to share our Digital Technology (DT) team is expanding to meet growing business needs across the world. We’re making a significant investment in our people and systems to strengthen our digital foundation, drive business optimization, and enable our growth strategies. We are seeking a Senior Data Scientist within the Digital Technology team. This role is hybrid, based at our global headquarters in Allentown, PA. Nature and Scope The Senior Data Scientist will work on a team of collaborative, advanced-degreed, highly knowledgeable specialists who apply Data Science to increase productivity at Air Products. You will contribute ideas to AI/ML strategy at Air Products and effectively implement improvement opportunities using AI/ML leading to business success and growth. You will also work with business partners to drive adoption of models you build. This is an exciting and rewarding position which provides exciting growth prospects and the opportunity to solve challenging business problems using your unique skills. PRINCIPAL ACCOUNTABILITIES:

• Expert practitioner in AI/ML, Generative Artificial Intelligence, Machine Learning, Deep Learning, and related fields
• Technical individual contributor on the Data Science Team
• Learn continuously to stay current on cutting-edge AI/ML technology
• Identify and understand business problems, define data requirements, formulate, build, and communicate AI/ML solutions concisely
• Contribute to development of MLOps platform
• Bring Data Science perspective working with Product Management Team to design and create self-service solutions for business clients leveraging products built on the MLOps platform
• Foster a strong network with business and functional partners to drive AI/ML adoption

  EXPERIENCE AND QUALIFICATIONS:

• Expertise using Deep Learning in applications such as image analysis
• Experience in Generative AI including Retrieval Augmented Generation using Large Language Models
• Excellent communication and interpersonal skills to act as a translator of complex technical topics to simple language with business partners
• Ability to collaborate with business partners to drive adoption
• Geographic Information Systems experience is a plus
• Ability to work independently and within a team to tackle meaningful problems
• Valid Drivers' License and good driving record required.

What's In It for You: At Air Products we foster a culture of inclusion where every voice is heard, and everyone feels they belong and matter. Additionally, we offer competitive pay and great benefits for our employees. Check out some of our benefits below! Affordable Medical, Dental and Vision Insurance (day 1 of employment) 401k with 100% vested company core AND company match (8%) Paid Vacation, holidays, flexible holiday + sick time Paid Parental leave (Up to 8 weeks for both parents) Backup Child and Adult Care benefit   Many more supplemental benefits available Air Products proudly values the skills, dedication, and leadership that Veterans bring to the table. As a Veteran-friendly organization, we actively encourage and welcome Veterans to apply for various roles within our company. We recognize the unique strengths and experiences that veterans contribute, and we foster a workplace that honors your service while providing a platform for professional growth. We are the world’s largest hydrogen producer with over 80 years of industrial gas experience. We are hydrogen and industrial gas experts delivering safe, end-to-end solutions, investing in real, clean energy projects at scale, and driving the industry forward to generate a cleaner future. At Air Products, we work in an environment where we put safety first, diversity is essential, inclusion is our culture, and each person knows they belong and matter. To learn more, visit About Air Products. We offer a comprehensive benefits package including paid holidays and vacation, affordable medical, dental, life insurance and retirement plans. You will be eligible for benefits and also be 100% vested in your retirement benefits on your first day of employment. Air Products is committed to working with and providing a reasonable accommodation to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation to search for a job opening or to submit an online application, please e-mail us at talent@airproducts.com. General application status inquiries are not answered by this mailbox rather you’ll receive an e-mail directly from our Career Center and/or the Talent Acquisition Specialist.

Job Description This position within the Division of Marketing’s Digital Team joins a team of front-end and back-end web developers and platforms team to help host, secure, and maintain the central web presence of Syracuse University. The DevOps Specialist will work in collaboration w/Marketing Technology & Web Development Teams to assist with on-premise and cloud containerized deployments. This position is responsible for assisting the development team to automate the implementation, testing, and deployment of products into a runtime environment in a reliable and efficient manner. This position is part of a high performing team providing a stable and reliable web hosting environment for various websites for Syracuse University, including flagship channels (www.syracuse.edu), schools and colleges, and business units. The DevOps Specialist works with central IT to ensure proper security, code review and University development best practice is followed. The DevOps Specialist will have trusted access to production, development and testing environments. This includes high-visibility properties in the central marketing portfolio in addition to hundreds of other websites that are hosted using the university’s web hosting platform. The scope of services in these responsibilities includes web, application, database and legacy systems. Education and Experience

• Bachelors degree or equivalent amount of education and work experience.
• One (1) plus years of work experience related to software development and containerized applications with a focus on CI/CD and application monitoring.

Skills and Knowledge

• Experience with DevOps (CI/CD) pipeline concepts and tools such as GitHub, Gitlab, Docker, and Jenkins.
• Experience with one or more scripting languages (Bash, Python, Go).
• Understanding of Infrastructure as Code (IaC) tools such as Terraform or Pulumi.
• Familiarity with configuration management systems (Ansible) to automate infrastructure provisioning and application deployment tasks across varied language stacks.
• Proficient in source code management using Git, including branching strategies, merging workflows, and code reviews for projects in Python, PHP, JavaScript, and SQL.
• Familiarity with various methods to audit site performance, monitor uptime and prevent intrusion preferred.
• Knowledge of networking fundamentals and experience troubleshooting web server connections and routing.
• Familiarity with AWS, Azure, or other cloud hosting preferred.
• Experience with WordPress, Django, and identity providers, such as Azure Entra.
• Experience documenting systems, architecture and solutions.
• Excellent communication skills, the ability to work well with others and independently as necessary.
• Ability to prioritize projects, evaluate requests and offer solutions.

Responsibilities

• Work with web development and marketing technology/platform teams to assist with assist with on-premise and cloud containerized deployments, automating the implementation, testing, and deployment of products into a runtime environment in a reliable and efficient manner.
• Work with central IT to ensure proper security, code review and University development best practice is followed.
• Break/fix incident response and support of division, campus community, and external vendor partners.
• Craft process, best practice and support documentation as required.
• Quality assurance (QA) test sites and systems in collaboration with web development team for functionality and accessibility.

Physical Requirements Not Applicable Tools/Equipment Not Applicable Application Instructions In addition to completing an online application, please attach a resume and cover letter. About Syracuse University Syracuse University is a private, international research university with distinctive academics, diversely unique offerings, and an undeniable spirit. Located in the geographic heart of New York State, with a global footprint, and over 150 years of history, Syracuse University offers a quintessential college experience. The scope of Syracuse University is a testament to its strengths: a pioneering history dating back to 1870; a choice of more than 200 majors, 100 minors, and 200 advanced degree programs offered across the University’s 13 schools and colleges; over 15,000 undergraduates and over 6,000 graduate students; more than a quarter of a million alumni in 160 countries; and a student population from all 50 U.S. states and 123 countries. About The Syracuse Area Syracuse is a medium-sized city situated in the geographic center of New York State approximately 250 miles northwest of New York City. The metro-area population totals approximately 500,000. The area offers a low cost of living and provides many social, cultural, and recreational options, including parks, museums, festivals, professional regional theater, and premier shopping venues. Syracuse and Central New York present a wide range of seasonal recreation and attractions ranging from water skiing and snow skiing, hiking in the Adirondacks, touring the historic sites, visiting wineries along the Finger Lakes, and biking on trails along the Erie Canal. EEO Statement Syracuse University is an equal-opportunity, affirmative-action institution. The University prohibits discrimination and harassment based on race, color, creed, religion, sex, gender, national origin, citizenship, ethnicity, marital status, age, disability, sexual orientation, gender identity and gender expression, veteran status, or any other status protected by applicable law to the extent prohibited by law. This nondiscrimination policy covers admissions, employment, and access to and treatment in University programs, services, and activities. Commitment to Supporting and Hiring Veterans Syracuse University has a long history of engaging veterans and the military-connected community through its educational programs, community outreach, and employment programs. After World War II, Syracuse University welcomed more than 10,000 returning veterans to our campus, and those veterans literally transformed Syracuse University into the national research institution it is today. The University’s contemporary commitment to veterans builds on this historical legacy, and extends to both class-leading initiatives focused on making an SU degree accessible and affordable to the post-9/11 generation of veterans, and also programs designed to position Syracuse University as the employer of choice for military veterans, members of the Guard and Reserve, and military family members. Commitment to a Diverse and Inclusive Campus Community Syracuse University maintains an inclusive learning environment in which students, faculty, administrators, staff, curriculum, social activities, governance, and all other aspects of campus life reflect a diverse, multi-cultural, and international worldview. The University community recognizes and values the many similarities and differences among individuals and groups. At Syracuse, we are committed to preparing students to understand, live among, appreciate, and work in an inherently diverse country and world made up of people with different ethnic and racial backgrounds, military backgrounds, religious beliefs, socio-economic status, cultural traditions, abilities, sexual orientations and gender identities. To do so, we commit ourselves to promoting a community that celebrates and models the principles of diversity and inclusivity.

Job Title: Network Security Consultant Position Overview: We’re looking for an experienced Level 3 Network Engineer with deep technical expertise in LAN, WAN, security, and SD-WAN environments. The right candidate will bring a solid background in Cisco ACI (Application Centric Infrastructure) and have a proven track record of supporting complex enterprise network environments. This is a hands-on engineering role focused on performance, reliability, and secure infrastructure management. Key Responsibilities:

• Design, implement, and support enterprise-grade LAN/WAN and SD-WAN networks
• Administer and troubleshoot Cisco ACI fabric, ensuring smooth network operations
• Perform network performance analysis, traffic engineering, and optimization
• Lead incident resolution for escalated network issues and perform root cause analysis
• Maintain strong documentation including network diagrams, SOPs, and change logs
• Collaborate with cross-functional teams including security, infrastructure, and application teams
• Ensure security best practices are applied across all network layers
• Participate in capacity planning and infrastructure upgrades
• Support change management and service delivery within established SLAs

Required Skills & Qualifications:

• 10+ years of experience in network engineering roles with increasing responsibilities
• Strong technical expertise in LAN/WAN, routing, switching, and SD-WAN technologies
• Hands-on experience with Cisco ACI environments (configuration, monitoring, troubleshooting)
• Solid understanding of network security concepts and tools
• Familiarity with enterprise monitoring and management platforms
• Excellent troubleshooting skills and the ability to handle high-priority incidents independently
• Strong communication and documentation skills
• Relevant certifications such as CCNP, CCIE, or equivalent needed

SUPERVISION RECEIVED: Works under the general supervision of a higher grade. EXAMPLES OF DUTIES: Compiles and organizes large datasets from various sources, including electronic health records, patient charts, multiple administrative databases, patient surveys, and other pertinent sources; Builds and maintains a valid, accurate and uniformed data repository to ensure data integrity and availability of appropriate data for evaluation needs; Writes code from various sources to process raw data elements into metrics for analysis; selects and filters relevant information from multiple sources; Applies critical thinking and logic to construct data sets to achieve accurate comparisons to benchmarks; Collaborates with stakeholders to identify objectives and goals of analysis; coordinates and prioritizes analytic projects; manages and executes projects within targeted timelines; Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal healthcare management and decision making; Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts and other intuitive graphical add-ons; Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations; Performs other related duties as required. KNOWLEDGE, SKILLS AND ABILITIES: Considerable knowledge of health care industry standards and practices in descriptive/predictive analytics and reporting concepts; Applied knowledge of statistical analyses including opportunity assessments, clinical and financial risk tracking, trend identification and predictive modeling exercises; Advanced knowledge and proficiency of data management applications, Microsoft Office suite, data visualization tools, reporting tools, database programming languages, and related software and other applications; Advanced knowledge in importing data for use in report software, spreadsheets, graphs and flowcharts; Strong analytical, mathematical, creative problem-solving and critical thinking skills with attention to detail; Excellent verbal and written communication skills with considerable knowledge of proper grammar, punctuation and spelling; Considerable interpersonal and collaboration skills with the ability to interact effectively in a team environment as well as independently; Detailed oriented, excellent organizational, planning and prioritizing skills with flexibility and adaptability in a variety of work situations; Proven ability to communicate complex data analytics using clear and concise methods and presentation media. EXPERIENCE AND TRAINING: GENERAL EXPERIENCE: Six (6) years of experience in a healthcare data analytical role. SUBSTITUTION ALLOWED: Bachelor's degree in computer science, information management systems, healthcare, mathematics, statistics or related field and two (2) years of experience may be substituted for general experience. PREFERRED QUALIFICATIONS: Proficiency in data engineering, analytics and visualization tools and techniques including SQL (complex queries, functions and stored procedures), Python, R and Tableau. Minimum 2 years of experience with medical informatics, data engineering, data mining, machine learning, data ETL, optimization, and report extraction, using electronic health record data. Experience with Epic electronic medical records platform. Experience with data analytics related to value-based programs. SCHEDULE: This position is full-time, Monday-Friday, 8:00am-5:00pm. Why UConn Health UConn Health is a vibrant, integrated academic medical center that is entering an era of unprecedented growth in all three areas of its mission: academics, research, and clinical care. A commitment to human health and well-being has been of utmost importance to UConn Health since the founding of the University of Connecticut schools of Medicine and Dental Medicine in 1961. Based on a strong foundation of groundbreaking research, first-rate education, and quality clinical care, we have expanded our medical missions over the decades. In just over 50 years, UConn Health has evolved to encompass more research endeavors, to provide more ways to access our superior care, and to innovate both practical medicine and our methods of educating the practitioners of tomorrow.

Fraud Detection Specialist — Full Role Description

Role overview A Fraud Detection Specialist identifies, prevents, and investigates fraudulent activity across transactions, accounts, user behavior, and systems. The role blends analytical investigation, real-time risk monitoring, and cross-functional coordination to reduce losses and protect customers and the business.

Key responsibilities

• Monitor real-time transactions and account activity; assess alerts, block or release decisions, and trigger additional verification when needed.

• Conduct end-to-end investigations: gather evidence, reconstruct timelines, identify modus operandi, document findings in case systems.

• Analyze trends in chargebacks, disputes, and incidents to refine rules, thresholds, and model features; reduce false positives.

• Operate and tune fraud tools: risk scoring systems, device/behavioral intelligence, rules engines, and ML-based detectors; propose new logic.

• Produce dashboards and reports on fraud metrics, losses, recovery, and emerging patterns; brief leadership and stakeholders.

• Collaborate with payments, risk, security, compliance/AML, SOC, and customer support; escalate high-severity cases and coordinate actions.

• Contribute to policy and process design: detections, reviews, KYC/KYB controls, dispute handling, and loss recovery procedures.

• Support remediation and recovery efforts: transaction reversals, account actions, customer outreach, and preventive control rollout.

• Track emerging threats (account takeover, synthetic IDs, mule networks) and advise on control gaps across products and processes.

Success outcomes

• Lower fraud losses and chargeback rates via faster, more precise interdiction.

• Reduced false positives and better customer experience through improved scoring and tuning.

• Clear, auditable investigations with timely, actionable reporting.

• Proactive controls that address new fraud vectors before they scale.

Core skills and tools

• Data analysis: SQL, Excel/BI, familiarity with log and event data; ability to spot anomalies and links in large datasets.

• Fraud platforms: experience with real-time monitoring, rules engines, device/behavioral risk, identity verification, and chargeback tooling.

• Investigation: evidence collection, chain-of-custody awareness, case documentation, interviewing, and writing defensible reports.

• Communication: concise escalation notes, stakeholder briefings, and cross-team coordination under time pressure.

• Domain knowledge: card-not-present/payments, e-commerce and banking fraud typologies, disputes/chargebacks, compliance and AML touchpoints.

• Collaboration: partnering with fraud ops, risk, product, engineering, compliance, and customer care to operationalize controls.

Typical day

• Triage and review queued alerts; prioritize high-risk cases.

• Deep-dive investigations using device, behavioral, historical, and network data; decide block/release/escalate.

• Review dashboards for spikes, drift, or new patterns; propose rules or threshold changes.

• Coordinate with payments/ops on disputes and reimbursements; sync with security/compliance on significant incidents.

• Summarize trends and recommendations for management.

Advanced/technical track (optional but valuable)

• Machine learning: supervised/unsupervised detection, risk scoring, feature engineering, model performance and drift monitoring.

• Streaming and real-time decisioning: low-latency pipelines to evaluate transactions in milliseconds.

• Graph/network analytics: uncover mule rings, shared devices, collusive merchant/affiliate schemes.

Common fraud types

• Account takeover, identity theft, synthetic identity, payment card fraud, merchant/affiliate abuse, chargeback fraud, refund abuse, promotion abuse, bot-driven abuse, and social engineering impacts.

Career paths

• Progression into Fraud Strategy, Risk Analytics, Payments Risk, Threat Intelligence, AML/Financial Crime, or Security Operations leadership.

Role variants and titles

• Fraud Analyst, Fraud Prevention Specialist, Fraud Investigator, Fraud and Risk Analyst, Senior Fraud Analyst.

Why it matters now

• Rapid growth in digital payments and online services has expanded fraud attack surfaces. Effective specialists combine domain knowledge, analytics, and fast operations to reduce losses while minimizing customer friction, preserving trust and growth.

Title: Cloud Security Engineer Location: Hybird

Resource Proposal for Cloud Security Engineer – Integration Modernization Initiative Project Name: Integration Modernization Resource Requirement: Cloud Security Engineer - Contractor Key Technologies Involved: TIBCO, APIGEE, Kafka, and other integration tools (TBD)

Executive Summary The Integration Modernization initiative aims to enhance Ulta's capabilities by modernizing existing systems, optimizing processes, and enabling seamless communication across various platforms, focusing on a move to Google Cloud Platform (GCP). As part of this effort, we will integrate a range of tools and technologies, including TIBCO, APIGEE, Kafka, and additional integration platforms (TBD) over the next 12 months. Scope of Work The Cloud Security Engineer will work closely with the Integration Modernization team to design, implement, and monitor security measures across various integration tools. They will ensure the integrity, confidentiality, and availability of data as it flows between systems. The security engineer will also assist in defining policies and best practices for integrating TIBCO, APIGEE, Kafka, and any future tools. This role will involve both strategic planning and tactical implementation. Key responsibilities include:

1. Security Assessment and Risk Management:
   • Conduct security risk assessments for integration tools (TIBCO, APIGEE, Kafka, etc.)
   • Identify and mitigate potential vulnerabilities in cloud-based architectures.
   • Ensure proper encryption and key management protocols are in place.

1. Architecture and Design:
   • Collaborate with solution architects to design secure integration architectures, ensuring proper authentication, authorization, and data protection across the platforms.
   • Work with cross-functional teams to integrate security into DevOps pipelines, CI/CD workflows, and API lifecycle management.

1. Tool and Platform Security:
   • Ensure security configurations of TIBCO, APIGEE, Kafka, and other integration tools are aligned with industry standards and organizational policies.
   • Manage security integrations with Ulta's identity management systems.

1. Monitoring and Incident Response:
   • Set up continuous monitoring for security events and anomalies across the integration platforms.
   • Respond to security incidents and provide remediation guidance in the event of breaches or vulnerabilities.

1. Compliance and Auditing:
   • Ensure compliance with relevant industry standards and regulations (e.g., GDPR, HIPAA, SOC 2, etc.) for the tools and services in use.
   • Conduct regular audits of security controls and recommend improvements as needed.

1. Documentation and Knowledge Transfer:
   • Maintain up-to-date security documentation for each platform transferring monitoring and incident response to the Security Operations Center.
   • Conduct knowledge transfer sessions for the wider IT and security teams to ensure ongoing security practices are followed.

Resource Justification The integration modernization initiative is crucial for maintaining competitive advantages and supporting the company's strategic goals. As the organization adopts new cloud-based tools and integrates multiple platforms, securing these technologies is critical to minimizing risks associated with data breaches, cyberattacks, and regulatory non-compliance. Given the breadth of tools involved, including TIBCO, APIGEE, and Kafka, a dedicated Cloud Security Engineer is required to ensure that security considerations are fully embedded into every phase of the integration process. Their expertise will not only safeguard the organization's assets but will also promote efficiency by proactively addressing potential security gaps before they evolve into major issues.

Skills and Experience Required The ideal candidate will have a combination of the following skills and experience: Technical Skills:

• Cloud Security Expertise: Experience securing cloud-based architectures, including AWS, Azure, or Google Cloud.
• Integration Platforms: Deep knowledge of integration tools such as TIBCO, APIGEE, and Kafka with a focus on security.
• API Security: Expertise in securing APIs using industry-standard protocols (OAuth 2.0, OpenID Connect, JWT, etc.).
• Network Security: Knowledge of securing microservices, messaging systems, and network communication in hybrid and multi-cloud environments.
• Identity and Access Management (IAM): Experience implementing IAM solutions for integration platforms, including SSO, RBAC, and MFA.
• DevSecOps: Familiarity with CI/CD pipelines and automating security controls within development processes.

Location: Remote

You will code, test and debug new and existing applications as you implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences. In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do.

Requirements: Craft the business logic and integration patterns with Prudential Ecosystem, using modern integration, data, and security patterns. Write unit, integration tests and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problems. Bring an applied understanding of relevant and emerging technologies, begin to identify opportunities to provide input to the team and coach others, and embed learning and innovation in the day-to-day The Skills & Expertise You Bring: Minimum of 3 years' experience in Fast Configuration and Development Bachelor of Computer Science or Engineering or experience in related fields Leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization. Programming Languages:  Core Platforms & Languages: FAST - Full Stack + FAST

Job Description:

We are looking for a DevOps Engineer with a passion for astronomy and space technology to join our team. In this role, you will work closely with astronomers, astrophysicists, and data scientists to develop, deploy, and manage scalable infrastructure for astronomical data processing, observatory automation, and space research applications.

Key Responsibilities:

• Design, implement, and maintain CI/CD pipelines for astronomical software and data processing workflows.

• Manage and optimize cloud-based infrastructure (AWS, Azure, or Google Cloud) for large-scale space data storage and analysis.

• Automate deployment, scaling, and monitoring of telescope control systems, astrophysics simulations, and satellite operations.

• Collaborate with scientists and engineers to integrate DevOps best practices into astronomical research projects.

• Implement containerization and orchestration (Docker, Kubernetes) for astronomical data pipelines.

• Enhance system reliability, security, and performance for astronomical observatories and space missions.

• Develop and maintain infrastructure as code (Terraform, Ansible, or CloudFormation).

• Monitor and troubleshoot system performance and astronomical data processing jobs.

Requirements:

• Bachelor's or Master’s degree in Computer Science, Astronomy, Astrophysics, or related fields.

• 3+ years of experience in DevOps, SRE, or Cloud Engineering.

• Proficiency in Linux, Shell scripting, Python, or Golang.

• Experience with cloud services (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).

• Knowledge of big data processing (Hadoop, Spark, or Apache Airflow) for handling astronomical datasets.

• Familiarity with astronomical data formats (FITS, HDF5) and scientific computing tools.

• Passion for space exploration, astronomy, or satellite technology.

Preferred Qualifications:

• Experience working with astronomical observatories, space agencies, or research institutes.

• Understanding of radio astronomy, optical telescopes, or space mission software.

• Contributions to open-source projects related to space science or DevOps.

Benefits:

• Work on cutting-edge space and astronomy projects.

• Collaborate with leading scientists and space agencies.

• Competitive salary and flexible work environment.

• Opportunity to contribute to groundbreaking astronomical discoveries.

Key Responsibilities:

• Plan and execute penetration tests on web, mobile, and API applications.

• Simulate real-world attack scenarios to expose vulnerabilities.

• Document findings and communicate remediation steps to developers.

• Stay updated on the latest hacking tools, techniques, and vulnerabilities.

• Assist in the development of secure coding practices based on test results.

• Support compliance and audit activities through thorough reporting.

A Penetration Tester (App Layer) specializes in uncovering and helping fix vulnerabilities in application code and architecture. By simulating attacks, they identify weaknesses that could be exploited by real hackers. Their work helps organizations understand and address risks, ensuring applications remain resilient to current and evolving threats. In addition to technical testing, they play a key role in educating teams about securing the application stack.

Title: Senior Data Analyst Location: Hybrid

About the Role (Meta-specific):

In this role, you will play a crucial part in driving data-driven decision-making within our sales organization. You will be a key partner to the channel lead, providing analytical support and insights that inform sales strategies and optimize our go-to-market approach. The ideal candidate possesses a strong analytical mindset, excellent communication skills, and a passion for leveraging data to drive business growth within the retail and hard goods sector.

Responsibilities:

• Collaboration with Data Science/Engineering: Work closely with Meta Reality Labs' data science and engineering teams to communicate sales reporting needs, provide guidance on tooling requirements, and ensure alignment between data capabilities and business objectives.
• Rhythm of Business Reporting:  Develop and maintain continuous reporting processes that provide a clear and comprehensive view of Reality Labs' business performance.  Focus on agility and identify how business operations impact sales outcomes. Create impactful data visualizations to effectively communicate key metrics and trends to stakeholders.
• Insights to Action:  Conduct ad hoc analyses to address specific business questions and challenges. Apply critical thinking and sales analytics expertise to develop data-driven recommendations for senior sales leaders. Propose adjustments to sales models to optimize operational plans and identify areas for efficiency improvement.

Qualifications:

• Strong analytical and problem-solving skills with a proven ability to translate data into actionable insights.
• Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI).
• Excellent communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams.   
• Experience working with large datasets and cloud-based data platforms.

Preferred Qualifications in any of this:

• Experience in one or more of the following channels:

• • Direct to Consumer
  • Business-to-Business
  • Commercial Sales

• Familiarity with statistical modeling techniques.
• Experience with data storytelling and presentation skills.

Additional Links:

• This position is Benefit eligible; click here for an overview of available benefits.
• This position is covered by the UHP Bargaining Unit and is in salary group UHP-09; click here to review the current UHP Pay Plan.
• This position is covered by the UHP Bargaining Unit; click here to review the current UHP Contract.
• UConn Health

PURPOSE OF CLASS:

At UConn Health, this class is accountable for organizing and managing large and varied data sets; analyzing complex data to optimize business operations and identify trends for improvement; and communicating findings into meaningful understanding using data visualization and detailed reports.

**Please note, this position requires you on-site at our Farmington, Connecticut location and does not accept visa's or candidates that cannot relocate to Connecticut at this time.

SUPERVISION RECEIVED:

Works under the general supervision of a higher grade.

EXAMPLES OF DUTIES:

Compiles and organizes large datasets from various sources, including electronic health records, patient charts, multiple administrative databases, patient surveys, and other pertinent sources;

Builds and maintains a valid, accurate and uniformed data repository to ensure data integrity and availability of appropriate data for evaluation needs;

Writes code from various sources to process raw data elements into metrics for analysis; selects and filters relevant information from multiple sources;

Applies critical thinking and logic to construct data sets to achieve accurate comparisons to benchmarks;

Collaborates with stakeholders to identify objectives and goals of analysis; coordinates and prioritizes analytic projects; manages and executes projects within targeted timelines;

Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal healthcare management and decision making;

Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts and other intuitive graphical add-ons;

Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations;

Performs other related duties as required.

KNOWLEDGE, SKILLS AND ABILITIES:

Considerable knowledge of health care industry standards and practices in descriptive/predictive analytics and reporting concepts;

Applied knowledge of statistical analyses including opportunity assessments, clinical and financial risk tracking, trend identification and predictive modeling exercises;

Advanced knowledge and proficiency of data management applications, Microsoft Office suite, data visualization tools, reporting tools, database programming languages, and related software and other applications;

Advanced knowledge in importing data for use in report software, spreadsheets, graphs and flowcharts;

Strong analytical, mathematical, creative problem-solving and critical thinking skills with attention to detail;

Excellent verbal and written communication skills with considerable knowledge of proper grammar, punctuation and spelling;

Considerable interpersonal and collaboration skills with the ability to interact effectively in a team environment as well as independently;

Detailed oriented, excellent organizational, planning and prioritizing skills with flexibility and adaptability in a variety of work situations;

Proven ability to communicate complex data analytics using clear and concise methods and presentation media.

EXPERIENCE AND TRAINING:

GENERAL EXPERIENCE:

Six (6) years of experience in a healthcare data analytical role.

SUBSTITUTION ALLOWED:

Bachelor's degree in computer science, information management systems, healthcare, mathematics, statistics or related field and two (2) years of experience may be substituted for general experience.

PREFERRED QUALIFICATIONS:

Proficiency in data engineering, analytics and visualization tools and techniques including SQL (complex queries, functions and stored procedures), Python, R and Tableau.

Minimum 2 years of experience with medical informatics, data engineering, data mining, machine learning, data ETL, optimization, and report extraction, using electronic health record data.

Experience with Epic electronic medical records platform.

Experience with data analytics related to value-based programs.

SCHEDULE: This position is full-time, Monday-Friday, 8:00am-5:00pm.

Why UConn Health

UConn Health is a vibrant, integrated academic medical center that is entering an era of unprecedented growth in all three areas of its mission: academics, research, and clinical care. A commitment to human health and well-being has been of utmost importance to UConn Health since the founding of the University of Connecticut schools of Medicine and Dental Medicine in 1961. Based on a strong foundation of groundbreaking research, first-rate education, and quality clinical care, we have expanded our medical missions over the decades. In just over 50 years, UConn Health has evolved to encompass more research endeavors, to provide more ways to access our superior care, and to innovate both practical medicine and our methods of educating the practitioners of tomorrow.