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1d ago

Cyber Security Engineer

GuruSchools Texas

Texas

1d ago

$45 - $50/hr Full time Cloud Platforms Cyber Security Cybersecurity Tools

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Job Description

GuruSchools is seeking a Cyber Security Engineer to support daily monitoring, incident response, vulnerability work, and security control efforts on-site in Texas.

Responsibilities

Monitor security alerts and investigate suspected threats
Identify, analyze, and respond to security incidents
Perform vulnerability assessments and support remediation activities
Monitor network traffic, logs, and security events
Use SIEM tools to detect and investigate suspicious activity
Assist with endpoint, network, and cloud security activities
Conduct security assessments and support compliance requirements
Maintain security documentation and incident reports
Collaborate with IT and development teams to implement security controls
Stay current on emerging cybersecurity threats and security best practices

Requirements

Knowledge of cybersecurity concepts, threats, and vulnerabilities
Experience with SIEM tools such as Splunk, Microsoft Sentinel, or QRadar
Knowledge of firewalls, VPNs, and IDS/IPS for network security
Understanding of Windows and Linux operating systems
Knowledge of vulnerability assessment and penetration testing concepts
Familiarity with endpoint security tools
Basic knowledge of cloud security (AWS/Azure) is preferred
Strong analytical and problem-solving skills
Good communication and documentation skills

Technologies

SIEM tools: Splunk, Microsoft Sentinel, QRadar
Firewalls, VPNs, IDS/IPS
Windows, Linux
AWS, Azure

Preferred Qualifications

Bachelor’s degree in Computer Science, Information Technology, Cybersecurity, or a related field
Certifications such as Security+, CEH, CySA+, CISSP, or equivalent

Role Details

Location: Texas (onsite)
Salary: USD 45–50 per hour
Minimum experience: 2 years

Key Skills

Cybersecurity
SIEM
SOC
Splunk
Microsoft Sentinel
Network Security
Vulnerability Management
Incident Response
Firewalls
IDS/IPS
Linux
Windows
Cloud Security

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1d ago

Security Engineer II (Defensive Operations)

Flywire Boston, MA

Boston, MA

1d ago

$99k - $120k/yr Full time Application Security Cloud Platforms Cyber Security

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Job Description

Flywire is seeking a Security Engineer II (Defensive Operations) to join its global Security Engineering team. This hybrid role in Boston focuses on embedding security into engineering workflows, defending cloud-native systems, and leading incident response and detection engineering.

Role Overview

In this position, you will own secure software design and contribute to cloud-native infrastructure defense. You will combine an automation-first approach with practical offensive security work, including penetration testing and exploit research, while also driving real-time incident detection and containment. A key part of the role involves integrating security controls into public cloud environments and GitLab CI/CD pipelines.

Key Responsibilities

Own and drive end-to-end integration of automated technical security requirements and validation tools into high-velocity engineering pipelines.
Build custom internal tooling, wrappers, and automated controls that improve development velocity without adding friction.
Partner with SRE and DevOps teams to establish secure cloud architecture blueprints.
Manage Infrastructure-as-Code (IaC) security scans, including Terraform.
Enforce Zero Trust boundaries in containerized environments using Docker and Kubernetes.
Design and deploy automated security review workflows using LLM APIs (for example, Claude).
Establish controls to protect generative AI features against prompt injection, insecure output handling, model inversion, and data poisoning.
Discover logic flaws through manual source code audits, perform API exploitation, and run cloud penetration testing to emulate zero-day adversarial behavior across financial platforms.
Lead technical containment, forensic collection, and rapid threat eradication during active security incidents.
Design and deploy high-fidelity detection rules and automated alert workflows within the SIEM environment.
Embed into software development and infrastructure sprint planning to ensure security is built in from the start.
Provide actionable code modifications and mentor junior engineers.

Required Qualifications

Bachelor’s degree in Computer Science, Cyber Security, Software Engineering, or a related technical discipline (or equivalent experience).
3+ years of progressive engineering experience spanning Application Security, Cloud Architecture Defense, and Active Security Operations (SecOps, Incident Response, Penetration Testing).
Demonstrated ability to conduct deep manual penetration testing, web application exploitation, and incident containment without relying solely on commercial automated scanners.
Strong practical knowledge of AWS or public cloud topologies, containerization (Docker, Kubernetes), network security, and maintaining GitLab CI pipelines.
Foundational proficiency with modern web development frameworks and programming languages including Python, Ruby on Rails, Java, or Node.js.
Solid understanding of OWASP Top 10 for LLMs, applied cryptography, cloud network isolation, and federated authentication architectures (OAuth2, SAML, OIDC, Zero Trust IAM).
Working proficiency with modern EDR platforms, SIEM systems, network packet analysis (PCAP), threat intelligence frameworks (MITRE ATT&CK), and forensic collection tools.
Practical experience mapping technical software and infrastructure controls to standards such as PCI-DSS (v4.0), SOC 1, SOC 2, or DORA.

Preferred Qualifications

OSCP, OSCE, or SANS GXPN.
AWS Certified Security - Specialty, CKS (Certified Kubernetes Security Specialist), or CISSP.
GCIH, GCFA, or specialized Blue Team certifications.
OffSec OSAI.

Technologies

Python, Ruby on Rails, Java, Node.js
AWS, Terraform
Docker, Kubernetes
GitLab CI/CD
LLM APIs (for example, Claude)
SIEM, EDR, PCAP
MITRE ATT&CK
OAuth2, SAML, OIDC, Zero Trust IAM
OWASP Top 10 for LLMs
PCI-DSS (v4.0), SOC 1, SOC 2, DORA

Location and Compensation

Location: Boston, MA (hybrid)
Salary: USD 99,000 - 120,000 per year

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1d ago

IT Support Engineer

Pediatrics Plus Conway, AR

Conway, AR

1d ago

$65k+/yr Full time Application Support End User Support Hardware Support

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Job Description

Pediatrics Plus is hiring an IT Support Engineer in Conway, AR for onsite support. In this role, you will help keep technology reliable for the team, delivering hands-on assistance across locations and troubleshooting issues quickly whether they show up during proactive visits or day-to-day needs. The position includes regular travel within about a two-hour driving radius and offers competitive pay plus paid time off and medical, dental, and vision insurance.

What you’ll do

Install, troubleshoot, maintain, and support hardware, software, and technology systems across the company.
Provide experienced technical support to team members remotely and onsite at Pediatrics Plus locations.
Travel regularly to locations to deliver both reactive support and proactive maintenance, helping ensure systems operate effectively.
Set up, configure, maintain, and troubleshoot computers, monitors, printers, mobile devices, and other equipment.
Diagnose and resolve hardware and peripheral issues and assist with equipment deployment and replacement.
Troubleshoot Microsoft applications, operating systems, remote access, and other business applications.
Manage users, passwords, permissions, and basic configurations in Active Directory and Microsoft 365.
Troubleshoot common network and connectivity issues, including wireless and printer troubleshooting.
Escalate complex server, network, security, and infrastructure issues to the appropriate IT team member.
Track and prioritize tickets in the ticketing system, resolve issues independently within scope, and recognize when escalation is needed.
Assist senior IT staff and outside providers with system maintenance and technology projects.
Document work performed, equipment changes, unresolved issues, and maintain accurate documentation and technology inventory.
Support onboarding and offboarding by assisting with new team member technology setup and team member offboarding.
Identify recurring issues and recommend practical improvements; communicate effectively with leadership, teams, and contractors.
Uphold the core values, mission, and philosophy of Pediatrics Plus in all responsibilities.

Requirements

3+ years of IT support experience (preferred) and strong technical troubleshooting and problem-solving skills.
Ability to independently resolve common hardware, software, user account, and connectivity issues.
Working knowledge of Windows operating systems and Microsoft applications.
Basic understanding of Active Directory, Microsoft 365, networking, and server environments.
Strong organizational skills with attention to detail; ability to manage multiple support requests and prioritize work.
Ability to maintain an independently managed schedule that includes planned visits and unplanned/reactive support.
Strong customer service skills and the ability to communicate clearly with non-technical team members.
Ability to document issues and solutions clearly and professionally.
Ability to work independently and as part of a team, complete tasks in a timely manner, and maintain regular punctual attendance.
Travel required. Must possess a valid Arkansas driver’s license and maintain an acceptable driving record.
High school diploma or equivalent (required).

Technologies you’ll work with

Windows operating systems
Microsoft applications
Remote access
Active Directory
Microsoft 365
Ticketing system
Wireless
Printers
Networking
Server environments

Benefits

Competitive Pay
Paid Time Off
Medical, Dental, & Vision Insurance
State of the Art Facilities & Technology

Physical demands

Frequently required to accurately communicate information and ideas through sight and hearing.
Regularly required to move, including walking, running, jumping, and sitting.
Regularly required to use hands and fingers to handle, lift, reach, and feel.
Frequently required to stand and stoop, twist, bend, kneel, crouch, or crawl.
Must frequently lift and/or move up to 50 pounds.
Specific vision abilities required: near and distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
If working at a Farm location, comfort around standard farm animals is required, including minimal allergies to touching, smelling, feeding, and engaging with animals.

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1d ago

Senior Data Scientist / ML Engineer

Ford Motor Company Redford, MI

Redford, MI

1d ago

$133k - $251k/yr Full time Senior Artificial Intelligence Cloud

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Job Description

Ford Motor Company is seeking a Senior Data Scientist / ML Engineer to help design and govern a data mesh strategy, build governed data products, and modernize cloud data workflows with AI and ML capabilities. This hybrid role is based in Redford, MI and includes leadership across federated governance, data pipeline engineering, and semantic layer design for enterprise data interpretation.

Key Responsibilities

Design and evolve Ford’s data mesh architecture across manufacturing and enterprise domains by defining domain boundaries, data product contracts, and interoperability standards.
Establish and maintain federated computational governance policies (schema standards, data quality SLAs, security classifications, lineage and retention requirements) applied consistently across decentralized domain teams.
Drive adoption of next-generation, cloud-native technologies and patterns (including GCP and Vertex AI, plus agentic AI and LLM orchestration) to modernize legacy workflows and support measurable business impact.
Lead the transformation of raw data landing in cloud platforms from Manufacturing systems into curated, documented, high-quality data products.
Define and enforce data product standards including ownership, schema versioning, SLAs for freshness, completeness, and accuracy, along with discoverability and access controls.
Oversee ingestion, transformation, and publishing pipelines for both batch and streaming to convert raw operational data into standardized, reusable assets.
Design and build data structures and semantic layers such as ontologies and knowledge graphs to support consistent enterprise interpretation by AI agents with minimal human intervention.
Design and develop data models (enterprise, conceptual, logical, and physical) for assigned domains, and manage and maintain those models in a shared repository.
Partner with product and analytics teams to translate use cases into data requirements, providing architecture guidance, data models, and design reviews.
Establish and enforce data architecture principles, standards, and best practices covering catalog, lineage, observability, security, and interoperability across data products.
Drive data quality initiatives by profiling source systems, defining data quality requirements and metrics, and guiding monitoring, measurement, reporting, and remediation.
Drive adoption of GCP as the technical backbone for the data mesh and data product ecosystem.
Evaluate and implement metadata management and data catalog solutions to improve discoverability and trust across the mesh.
Establish monitoring, observability, and SLA tracking for published data products.
Own and evolve the federated governance framework, balancing global standards with domain autonomy while ensuring compliance with Ford data security, privacy, and regulatory requirements.
Implement automated policy enforcement (schema validation, access control, metadata cataloging, lineage tracking) using GCP-native capabilities and third-party tooling.
Collaborate with cybersecurity, legal, and compliance teams to classify and protect sensitive manufacturing and enterprise data.
Ensure development patterns support Ford’s data security requirements and global privacy regulations through privacy and compliance by design.

Required Qualifications

Master’s degree in computer science, Information Systems, Data Engineering, or a related field (or equivalent combination of relevant education and experience).
5+ years of experience in data architecture, data engineering, or advanced database design and modeling, including exposure to large-scale manufacturing or industrial data environments, and experience designing or implementing databases, data warehouses, or data marts.
15+ years of experience leading, managing, or mentoring technical teams through direct people leadership, matrixed leadership, or lead/owner roles directing cross-functional teams.
Hands-on experience creating data models using data modeling tools.
Deep, hands-on experience with GCP technologies including BigQuery, Cloud Storage, Dataform, Data Fusion, Astronomer, or similar cloud data engineering tools.
Demonstrated experience designing or implementing data mesh or domain-oriented data architectures.
Understanding of AI/ML capabilities, including experience modeling semantic layers, knowledge graphs, or ontologies for a data platform.
Knowledge of data governance, data quality, and data product marketplace enablement practices.
Proficiency in SQL and Python, plus modern data pipeline and orchestration tools.
Strong stakeholder management experience across plant floor operations teams and enterprise IT or analytics functions.

Technologies

GCP
Vertex AI
BigQuery
Cloud Storage
Dataform
Data Fusion
Astronomer
SQL
Python

Benefits

Immediate medical, dental, vision, and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care, and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time

Role Overview

Job Type: Full time
Work Type: Hybrid
Location: Redford, MI
Salary Range: USD 132,800 - 250,800 per year
Leadership Level: 6

Additional Information

Final determination of salary grade will be based on candidate skills and experience, with base salary set within the applicable range according to job scope, responsibility, and competitive market value.
For more information on salary and benefits: https://fordcareers.co/LL6
Visa sponsorship is NOT available for this position.
Relocation assistance is NOT provided for this role.
Candidates must be legally authorized to work in the United States; verification of employment eligibility will be required at the time of hire.
#LI-On-Site #LI-DS2

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1d ago

Senior Data Engineer & Data Scientist – Commercial Intelligence

International Motors, LLC Lisle, IL

Lisle, IL

1d ago

$160k - $240k/yr Full time Senior Analytics Artificial Intelligence

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Job Description

International Motors, LLC offers a hybrid role in Lisle, IL focused on building commercial intelligence that turns complex enterprise data into practical, workflow-embedded insights. This position combines senior-level data engineering with machine learning and AI/LLM prototyping to support Retail Sales Management (RSM) capabilities and drive next-best-action and opportunity identification. Compensation is USD 160,000 - 240,000 per year, along with a comprehensive benefits package designed to support employee wellbeing.

What you’ll do

Design, build, and maintain scalable data pipelines and data products that support RSM and broader commercial intelligence.
Integrate and normalize customer, prospect, dealer, vehicle, sales, service, parts, and CRM/digital interaction data, along with external data, then develop modeling approaches that make it usable for intelligence and analytics.
Create robust methods for identity resolution, entity matching, deduplication, normalization, data lineage, and data quality across complex commercial datasets.
Build and operationalize analytical and machine-learning models for lead scoring, opportunity identification, customer segmentation, propensity, prioritization, and next-best-action recommendations.
Embed intelligence directly into dealer and sales workflows, not just reports and dashboards.
Partner with Product, Sales, Commercial, UX, Data, and Engineering teams to translate high-value business problems into scalable data and analytical solutions.
Design reusable commercial data models, semantic structures, and ontology concepts for customers, prospects, vehicles, dealers, opportunities, and sales activity.
Define and monitor data quality, model performance, and business-impact metrics, and resolve issues that affect trust in commercial intelligence.
Prototype and evaluate AI/ML approaches, including generative AI and LLM-based capabilities, that improve decision-making and sales effectiveness.
Establish engineering and data-science practices for testing, observability, documentation, governance, versioning, CI/CD, and production deployment.
Own built solutions end-to-end, including operational readiness, production support, incident response, quality standards, and technical lifecycle management.
Act as a senior technical leader on the RSM product team, influencing architecture and technical direction while mentoring other practitioners.
Communicate complex analytical findings and technical decisions to technical teams, product leaders, commercial stakeholders, and senior leadership.

Qualifications

Strong hands-on experience building production-grade data pipelines, data models, analytical products, and commercial intelligence at enterprise scale.
Advanced SQL and Python with solid software-engineering practices.
Experience with modern cloud data platforms and distributed processing; Palantir Foundry/AIP and/or Databricks are strongly preferred.
Experience developing, deploying, and monitoring machine-learning or statistical models on large, complex datasets.
Strong understanding of data quality, lineage, observability, governance, testing, and production operations.
Experience solving entity resolution and identity matching, including customer-360, master-data, or similar commercial data challenges.
Experience with commercial datasets including customer, sales, CRM, marketing, vehicle, transactional, service, parts, or related domains.
Ability to translate ambiguous commercial problems into data products, models, experiments, and measurable outcomes.
Experience embedding analytical intelligence into operational applications and workflows.
Familiarity with LLMs, retrieval, AI agents, or AI-assisted decision systems.
Demonstrated ability to influence technical direction and drive outcomes across Product, Engineering, Data, and business teams.
Highly proactive, ownership-driven mindset with independence in ambiguity.
Excellent written and verbal communication skills, including coaching and mentoring data scientists and data engineers.
Education requirement: Master’s degree.
Experience requirement: At least 5 years of data engineering, data quality and/or analytics, or statistical analysis experience (with additional experience ranges also listed).
Lead experience: At least 2 years of lead experience.
Legal authorization: Qualified candidates (excluding current employees) must be legally authorized on an unrestricted basis to work in the United States (US Citizen, Legal Permanent Resident, Refugee or Asylee). Sponsorship is not anticipated (e.g., H-1B).

Skills and technologies

SQL, Python
Palantir Foundry, AIP, OSDK, and ontology/ontology concepts
Databricks and lakehouse/data-engineering patterns
Machine learning, LLMs, generative AI, retrieval, and AI agents
CI/CD, API-first and event-driven architectures
Semantic modeling and ontology design
API-first and event-driven architectures and integrating analytical data products into production applications

Compensation and location

Location: Lisle, IL (hybrid)
Salary: USD 160,000 - 240,000 per year

Benefits

Competitive market-based compensation
Comprehensive benefits package designed to support employee wellbeing

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1d ago

Applied AI Engineer I

Daimler Truck North America Portland, OR

Portland, OR

1d ago

$71k - $91k/yr Full time Analytics API APIs

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Job Description

Daimler Truck North America is building practical, well-governed AI capabilities with its Engineering Quality, Safety and Compliance (EQSC) team. This hybrid role in Portland, OR helps strengthen data lifecycle practices and connects design risk assessment with manufacturing and field insights. You will support governed data pipelines and AI-agent workflows, including evaluation and deployment-support activities.

Compensation: USD 71,000 - 91,000 per year.

Schedule: Hybrid (4 days per week in-office / 1 day remote).

What you drive at DTNA

Support governed data pipelines, including Snowflake-enabled datasets, by preparing, cleaning, validating, and connecting requirements, specifications, validation records, vehicle compliance inputs, defect investigations, manufacturing data, service data, warranty information, and field-quality insights.
Assist with SQL queries, data models, metadata fields, and data-quality checks to improve traceability, reliability, and readiness for analytics and AI-assisted workflows.
Contribute to AI-agent implementation by helping configure workflows, retrieval patterns, prompt examples, test cases, and deployment-support materials under guidance from senior team members.
Prepare approved standards, process guidance, historical examples, compliance references, investigation learnings, and engineering knowledge content for use in AI-assisted workflows and evaluation datasets.
Help test, validate, and deploy AI-agent capabilities using approved enterprise platforms, Snowflake-enabled data assets, Microsoft 365 Copilot / Copilot Studio, APIs, and related tools.
Capture data-quality issues, manual handoffs, duplicated steps, user pain points, pilot feedback, and improvement ideas in issue-tracking or backlog tools.
Support analysis across connected engineering, compliance, investigation, manufacturing, service, warranty, and field data to improve risk assessment, product-quality decisions, corrective-action follow-up, and service diagnostics.
Help measure AI-agent output quality and efficiency, including token usage and user feedback, by supporting evaluation datasets, regression testing, grounding checks, stress testing, and hallucination-reduction reviews.
Create and maintain implementation notes, prompt and configuration change logs, user guidance, training aids, data definitions, known limitations, and adoption content in Confluence, SharePoint, and similar enterprise knowledge platforms.
Collaborate with Vehicle Engineering, Product Engineering, Vehicle Compliance, Product Validation, Manufacturing, Service, Quality, IT, defect investigation teams, and regional/global stakeholders to support user acceptance testing, adoption, and well-governed AI and data solutions.

Requirements

Bachelor’s degree in engineering, computer science, data science, or a related technical field.
0–2 years of relevant experience through work, internships, co-ops, academic projects, or applied technical projects.
Foundational understanding of AI/ML and GenAI, including large language models, embeddings, retrieval, prompt patterns, and basic model evaluation.
Awareness of responsible AI practices, including grounding, hallucination reduction, privacy, access control, bias awareness, and human review for high-impact engineering decisions.
Basic experience preparing, cleaning, validating, joining, and documenting datasets for analytics, automation, or AI-assisted workflows.
Working knowledge of SQL, Python, REST APIs, and enterprise data-platform concepts, including Snowflake or similar environments.
Familiarity with basic software-development practices such as version control, configuration tracking, code review, testing discipline, and clear technical documentation.
Evaluation and regression-testing mindset, including the ability to create test cases, compare expected and actual results, document limitations, and support issue resolution.
Familiarity with collaboration, documentation, and issue-tracking tools such as Jira, Azure DevOps, Confluence, SharePoint, or similar platforms.
Basic awareness of automotive, engineering quality, product development, compliance, manufacturing, warranty, service, or field-quality workflows.
Ability to communicate clearly, collaborate across functions, learn quickly, ask good questions, and manage multiple tasks with guidance.

Technology you will use

Snowflake, SQL, Python, REST APIs
Microsoft 365 Copilot, Copilot Studio, APIs
Confluence, SharePoint, Jira, Azure DevOps
Power BI, Excel, Power Platform

Benefits

401k company contribution with company match up to 8%
Non-elective company contribution of 3–7% depending on age
Starting at 4 weeks paid vacation
13+ calendar holidays
8 weeks paid parental leave
Employee assistance program
Comprehensive healthcare plans and wellness programs
Onsite fitness (at some locations)
Tuition assistance
Volunteer paid time off
Short-term and long-term disability plans

Additional information

Relocation assistance is not available.
This position is not open for Visa sponsorship or to existing Visa holders.
Applicants must be legally authorized to work permanently in the country where the position is located at the time of application.
Final candidates must successfully complete a criminal background check and may be required to complete a pre-employment drug screen.
EEO - Disabled/Veterans.

DTNA provides a scheduled posting end date to support candidate application planning. This schedule reflects the latest plans and is subject to change; postings may be extended or removed earlier than expected.

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1d ago

AI Engineer

The JAAW Group Arlington, VA

Arlington, VA

1d ago

Full time Backend Developer Ai Automation Ai Ml

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Job Description

The JAAW Group is seeking an AI Engineer to support the War Data Platform (WDP) Core Integration for the Chief Digital and Artificial Intelligence Office (CDAO) within secure Department of Defense environments. The position focuses on delivering end-to-end AI/ML capabilities across design, integration, deployment, and operations, in collaboration with teams spanning ML, data, software, cloud, and cybersecurity.

Responsibilities

Design, build, and maintain AI/ML lifecycle services and reusable components.
Develop infrastructure for the training, validation, deployment, and ongoing operation of AI/ML models.
Support model-serving platforms and enable efficient model inference.
Design and implement automated AI/ML pipelines.
Develop capabilities for model monitoring, explainability, and interpretability.
Apply MLOps practices to support continuous integration and deployment of models.
Collaborate with data engineers to ensure data pipelines meet AI/ML requirements.
Create testing frameworks and maintain technical documentation for AI/ML capabilities.

Requirements

Active Secret security clearance required prior to onboarding.
U.S. citizenship required.
Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical field.
Experience developing, integrating, or supporting AI/ML systems.
Experience with AI/ML development tools, frameworks, or platforms.
Understanding of model development, deployment, inference, testing, and monitoring.
Strong programming, analytical, troubleshooting, and problem-solving skills.
Ability to work onsite in Arlington, Virginia.

Preferred Qualifications

Prior experience supporting DoD or federal government environments.
Experience with MLOps and automated model deployment pipelines.
Experience with model-serving or inference capabilities.
Experience with model monitoring, explainability, and performance optimization.
Experience integrating AI capabilities into enterprise software or data platforms.