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Today

Network Security Engineer

NovalinkSolutions West Columbia, SC

West Columbia, SC

Today

$60+/hr Full time Cloud Platforms Cybersecurity Tools Information Security

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Job Description

NovalinkSolutions is seeking a Junior Network Security Analyst based in West Columbia, South Carolina for a 1-year in-person engagement. This role emphasizes practical networking and security work, supported by recognized certifications and core security tooling.

Location and Work Setup

Location: West Columbia, SC
Work mode: Onsite (in person)
Local candidates only: Yes

Role Duration and Schedule

Duration: 1 Year
Expected hours: 40.0 per week

Compensation

Pay rate: USD 60.00 per hour

Responsibilities

Perform hands-on work in networking and cybersecurity

Required Qualifications

Certifications: CCNA or PCNSE (required)
Experience: 5+ years (required)

Education

A BS in Computer Science, IT, Cybersecurity, or related field is preferred.

Technical Skills and Tooling

The position includes work across the following technologies and platforms:

SIEM / monitoring: Splunk, QRadar
Vulnerability scanning: Nessus, Qualys
Security tooling: IDS/IPS
Cloud environments: Azure, AWS
Operating systems: Windows, Linux, macOS

Key Skill Areas

Network Design, Routing & Switching
Network Security and firewalls
IDS/IPS and security monitoring
SIEM monitoring with Splunk / QRadar
Vulnerability scanning with Nessus / Qualys
Windows, Linux, and macOS support
Network traffic and log analysis
Azure/AWS security (preferred)
NIST, HIPAA, FISMA (preferred)

Additional Preference

Security+/CISSP is a plus

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Today

Senior Application Security Engineer

TripleLift Hoboken, NJ

Hoboken, NJ

Today

$160k - $200k/yr Full time Senior Application Security Code Scanning

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Job Description

TripleLift is looking for a Senior Application Security Engineer in Hoboken, NJ to help strengthen the company’s application security and secure development practices. In partnership with Engineering, Platform, Cloud Infrastructure, and Security teams, you will scale application security through automated testing, CI/CD integrations, vulnerability management, threat modeling, and security incident handling.

What you will do

Build and maintain a global security compliance program based on NIST CSF.
Scale application security by developing automated security testing using enterprise SAST, DAST, and code-review tools.
Champion SDLC practices to support secure application development and infrastructure deployment, including facilitating secure coding remediation.
Automate security testing in CI/CD pipelines to detect vulnerabilities earlier, including building and maintaining the pipeline integrations.
Administer and drive adoption of GitHub Advanced Security (GHAS), including code scanning, secret scanning, and dependency review across engineering repositories.
Participate in threat modeling and design and architecture specification reviews to identify and mitigate security risks early in the SDLC.
Coordinate with stakeholders to develop and implement a vulnerability management program and perform threat-hunting activities.
Own and conduct internal penetration testing and vulnerability assessments of applications and infrastructure, including validating findings from third-party pentest engagements.
Monitor and respond to application-layer threats such as API abuses, business logic flaws, and common web vulnerabilities.
Collaborate with product and engineering teams to ensure security is a key consideration in software design and architecture.
Improve the application security posture by implementing mechanisms for authentication, authorization, and data protection.
Enhance and facilitate security incident handling activities.
Evangelize security best practices through education and awareness, including developing secure coding guidelines and conducting secure development training for engineers.
Evaluate and continuously improve program maturity by deploying and managing security tools and processes.

Qualifications

5 years minimum of experience in application security, secure software development, security engineering, or a similar role.
Strong secure coding knowledge and the ability to guide developers on remediation strategies.
Experience with GitHub Advanced Security (GHAS): Code Scanning (SAST), Secret Scanning, and Dependency Review.
Proficiency with SAST, DAST, and SCA tools, including examples such as CodeQL, Burp Suite, OWASP ZAP, Snyk, Checkmarx, and Veracode.
Hands-on experience integrating security testing tools into CI/CD pipelines, including designing and building pipeline workflows.
Hands-on penetration testing / offensive security experience across web applications, APIs, or cloud infrastructure.
Knowledge of common application security vulnerabilities and mitigations such as OWASP Top 10 and CWE, including business logic flaws and API security.
Ability to perform threat modeling and participate in design and architecture spec reviews.
Experience conducting security code reviews across languages including Python, Java, TypeScript, and Go.
Security fundamentals aligned to compliance frameworks, particularly NIST CSF, and optionally PCI, SOC2, HITRUST, ISO 27001/2, or similar.
Strong understanding of AWS security services and controls including IAM, VPC, KMS, GuardDuty, and CloudTrail, with experience securing cloud-native environments and deploying security tools in them.
Ownership mindset with the ability to work independently with minimal oversight, delivering results in a fast-paced environment while balancing multiple priorities.
Commitment to continuous learning and improvement, with focus on correctness, efficiency, and constructive feedback.

Technologies

NIST CSF
GitHub Advanced Security (GHAS)
Code Scanning, Secret Scanning, Dependency Review
SAST, DAST, SCA
CodeQL, Burp Suite, OWASP ZAP, Snyk, Checkmarx, Veracode
CI/CD
OWASP Top 10, CWE
Python, Java, TypeScript, Go
PCI, SOC2, HITRUST, ISO 27001/2
AWS, IAM, VPC, KMS, GuardDuty, CloudTrail
OSCP, GWAPT, CISSP, CISA
Claude

Preferred qualifications

Experience in the ad-tech or programmatic advertising industry, or another high-scale, real-time environment.
Preferred familiarity with using AI or LLM-based tools (for example, Claude or similar) for threat intelligence, alert triage, or security automation.
Cybersecurity certification such as OSCP, GWAPT, CISSP, CISA, or similar.

Life at TripleLift

At TripleLift, the team values great people who like working with one another and who help everyone around them improve.
There is an emphasis on working with high drive and continuous innovation.
Learn more about TripleLift and culture via its LinkedIn Life page.

People, Culture, and Community initiatives

TripleLift is committed to building a culture where people feel connected, supported, and empowered.
The company invests in people and encourages curiosity, shared values, and meaningful connections across teams and communities.
There is a commitment to hiring and developing the best talent from every background, viewpoint, and experience.
The goal is an environment where everyone can thrive and feel a true sense of belonging.

Location and compensation

Location: Hoboken, NJ (onsite)
Salary: USD 160,000 - 200,000 per year

Privacy policy

Please see TripleLift’s Privacy Policies on its TripleLift and 1plusX websites.
TripleLift does not accept unsolicited resumes from any type of recruitment search firm.

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Today

AI Security Engineer

Janus Henderson Denver, CO

Denver, CO

Today

$145k - $190k/yr Full time Adversarial Ai Security Agent Ai Security

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Job Description

Denver, CO (onsite)

Compensation: USD 145,000 - 190,000 per year

In the Office of the CISO at Janus Henderson, this role delivers hands-on AI security engineering that helps secure AI-enabled applications, models, agents, and the underlying platforms across the full lifecycle. You will set the security design direction for agentic systems and help ensure controls are practical, measurable, and repeatable at enterprise scale, with your work translated into code and secure defaults by AI Engineering and AI Platforms.

What you’ll do

Serve as an AI security design authority for agentic applications, model gateway capabilities, Accio, Nexus, and other novel or high-risk AI initiatives by leading threat modeling, architecture review, and risk assessment using frameworks such as STRIDE, PASTA, MITRE ATT&CK, and MITRE ATLAS.
Define and evolve AI security standards, guardrails, governance controls, and secure-by-design patterns aligned to enterprise requirements and the firm’s risk appetite, co-designed with the Principal AI Architect and implemented as code and secure defaults by AI Engineering and AI Platforms. Coordinate with the AI Governance Implementation Lead on how controls land on the platform.
Design identity, entitlement, and secrets patterns for non-human identities such as agents, tools, MCP servers, connectors, and service principals, including scoped permissions, credential lifetime, rotation, and least privilege across multi-hop requests.
Set trust boundaries and data egress controls for the AI estate, including what may reach external model providers, and partner with data protection owners on classification, DLP enforcement, privacy, and data governance obligations.
Run adversarial testing and AI red teaming across models, prompts, agents, and tool chains, covering prompt injection and indirect injection, model manipulation and hijacking, excessive agency, function-call abuse, data leakage from LLM outputs, and privilege escalation between agents.
Build detections, security analytics, and telemetry for AI-specific abuse such as anomalous tool invocation, credential misuse by agents, unusual data access, and exfiltration through model responses, and integrate results into the firm’s monitoring estate.
Support security incident response for AI systems including triage, containment, and forensics across prompts, tool calls, and agent decisions, then feed lessons into platform defaults and evaluation suites.
Own security testing in the AI delivery lifecycle with static analysis, dependency and container scanning, secrets detection, and security gates in CI/CD so issues are identified before release.
Co-own the risk-based security gate for onboarding new AI products, model providers, versions, and platform features, performing security due diligence and risk assessment of AI vendors, platforms, and models (including provenance, open-source components, tenancy/data-use terms, security advisories) and validating platform updates before rollout.
Decide with the Senior AI Platform Engineer and Principal AI Architect which Copilot features are released and to whom, withholding capability until required controls are evidenced, and review solutions built by Forward Deployed Engineering and platforms built with Percepta so they do not reach production without a security position. Define guardrails for citizen developers and Copilot Studio makers with AI Enablement.
Support Risk and Internal Audit with security evidence and participate in Infosec security-control approval and risk-acceptance for AI, escalating when residual risk exceeds appetite.
Identify opportunities to apply AI and automation to security operations, engineering, assurance, and governance, building automation using code, APIs, scripting, orchestration platforms, or low-code technologies to automate response workflows and enrich incident data.
Define and report KPIs, KRIs, dashboards, and reporting demonstrating risk reduction, control effectiveness, and operational improvement.
Mentor security engineers on AI security and build enough AI literacy across Infosec so the team is not dependent on a single point of knowledge.

What you bring

Strong cybersecurity experience across security engineering, application security, product security, cloud security, or security architecture, with a hands-on engineering background and a track record of protections reaching production.
Hands-on experience securing GenAI, LLMs, machine learning, agentic AI, and AI-enabled solutions across their lifecycle.
Proven ability to lead threat modeling, architecture reviews, and risk assessments for complex technology platforms and services.
Strong understanding of AI-specific threats and risk assessment approaches, including prompt injection, model manipulation, excessive agency, and frameworks such as STRIDE, PASTA, MITRE ATT&CK, MITRE ATLAS, and equivalent industry practices.
Experience defining and evolving AI security standards, guardrails, governance controls, and secure-by-design patterns aligned with enterprise requirements and risk appetite.
Experience securing AI agents and integrations including MCP, permissions, non-human identities, autonomous workflows, and AI platform integrations.
Cloud security depth, ideally Azure, including IAM, service principals and workload identity, secrets management, RBAC, network controls, and logging, plus experience securing application delivery with secure SDLC and CI/CD controls such as code and dependency scanning.
Practical experience with AI/LLM systems (prompt engineering, retrieval-augmented generation, function calling, agent-based tools) and the ability to build and deploy automation using code, APIs, scripting, orchestration platforms, or low-code technologies (for example Python, workflow engines, or SOAR), integrating security logs, AI models, and platform components into cohesive pipelines.
Metrics-driven mindset with experience defining KPIs, KRIs, dashboards, and reporting.
Strong stakeholder engagement and influencing skills, including translating technical risk into business impact, providing pragmatic controls, and maintaining an independent security position under delivery pressure.

Tools and technologies

STRIDE, PASTA, MITRE ATT&CK, MITRE ATLAS
CI/CD, Azure, RBAC, DLP, MCP
LLM, GenAI, machine learning
Python, SOAR, retrieval-augmented generation, function calling
NIST AI RMF, OWASP Top 10 for LLM applications, ISO/IEC 42001, EU AI Act

Benefits and support

Hybrid working and reasonable accommodations
Generous Holiday policies
Excellent Health and Wellbeing benefits including corporate membership to Wellhub
Paid volunteer time
Support for professional development including development courses and tuition/qualification reimbursement
Maternal/paternal leave benefits and family services
Unique employee events and programs including a 14er challenge
Complimentary beverages, snacks and all employee Happy Hours
Annual Bonus Opportunity
Competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits

Additional details

Division: Office of the CISO
Supervisory responsibilities: No (individual-contributor role). Security design authority for AI systems and mentors security engineers, but does not line-manage.
Potential for growth: Mentoring, leadership development programs, regular training, career development services, and continuing education courses.

Note on application window: This position will be open through [add date]. Colorado law requires an estimated closing date for job postings. If you see this date has passed, you are still encouraged to apply.

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Today

TAK Lead Software Engineer / Product Owner

COLSA Corporation Huntsville, AL

Huntsville, AL

Today

Full time Product Owner Software Engineering Systems Engineering

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Job Description

COLSA Corporation is seeking a TAK Lead Software Engineer / Product Owner to support U.S. Army TSMO on designing, developing, integrating, testing, and troubleshooting TAK solutions.

Responsibilities

Design and orchestrate systems of systems, including clients, servers, data pipelines, and other integrated components
Design, develop, test, and implement software programs using Java, C++, Python, React, Go, or similar technologies
Support software development and delivery using Jira and Kanban-based continuous flow processes
Set up and maintain development environments for Windows and Linux, including containerized environments
Conduct merge request and pull request reviews to support software quality assurance
Create and refine end-user interface requirements for software clients
Collaborate with team members and end users to analyze requirements, troubleshoot software issues, and deliver solutions aligned to end-user and government customer needs
Perform systems modeling, simulation, and analysis
Carry out data analysis and provide input for reports and dashboards as needed
Develop or oversee user training, troubleshooting materials, and step-by-step guides
Advise hardware design engineers on system characteristics that may impact software systems when needed
Provide input for documentation of new and existing software programs as needed

Requirements

Bachelor’s degree or higher in Computer Science or Software Engineering
8-12 years of related experience
Hands-on experience supporting systems integration efforts
Experience configuring and maintaining development environments, including Git-based version control, Linux operating systems, and Docker containerization
Experience with version control software and the Driessen branching model (Gitflow)
Practical experience with front-end application development, including responsive, user-focused interfaces
Experience designing, developing, and integrating custom interfaces, extensions, or plugins within existing software frameworks
Active Secret security clearance; U.S. Citizenship required

Technologies

Java, C++, Python, React, Go
Jira, Kanban
Windows, Linux, Docker
Git, Driessen branching model (Gitflow)

Preferred Qualifications

Previous experience leading software development teams
Experience with web development technologies such as React, HTML, CSS, or JavaScript
Natural Language Processing (NLP) experience using Retrieval-Augmented Generation (RAG) architectures with Large Language Models (LLMs)
Computer vision experience with object detection or gait recognition using Convolutional Neural Networks (CNNs) and YOLO models

Security/Eligibility: Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.

Equal Opportunity Employer: COLSA Corporation is an Equal Opportunity Employer, Minorities/Females/Veterans/Disabled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

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Today

Data Scientist - Engineering & Financial Support

Systems Planning and Analysis Alexandria, VA

Alexandria, VA

Today

$70k - $90k/yr Full time Data Analysis Data Science Data Scientist

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Job Description

Systems Planning and Analysis (SPA) is seeking a Data Scientist - Engineering & Financial Support in Alexandria, VA to support funding and financial planning for a defense manufacturing effort.

Responsibilities

Analyze complex data sets and develop analytic tools to support coordination, planning, management, and execution of funding and financial plans for a defense manufacturing effort
Use technical and computer programming skills to design, implement, and maintain analytic tools across finance, procurement, engineering, and scheduling
Collaborate with a multi-disciplinary team that includes engineers, developers, managers, and stakeholders to inform recommendations for the manufacturing lifecycle and project management
Provide recommendations related to manufacturing lifecycle and project management

Requirements

Bachelor’s degree in a STEM or business field
Strong internships or 2+ years experience analyzing complex data sets, developing analytic tools or software, and applying coding to solve problems in engineering or project management
Experience using Python and PowerBI DAX
Demonstrated ability to coordinate, communicate, and operate independently in a dynamic team environment
Ability to simplify complex problems and produce actionable recommendations
Current DoD security clearance at the minimum Secret level, with the ability to maintain it throughout employment

Technology

Python
PowerBI DAX

Preferred Qualifications

Familiarity with DoN databases such as Navy ERP and Navy NEPS
Experience with and knowledge of Navy requirements and program office organizations and processes
Experience supporting defense manufacturing, Navy shipbuilding, research and development, defense acquisition programs, or other related initiatives

Benefits

Health insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Programs that provide for both paid and unpaid time away from work

Pay Range

USD $70,000 - $90,000 per year
Virginia Pay Transparency Salary range: USD $70,000.00/Yr. - USD $90,000.00/Yr.

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Today

Junior Data Scientist, Petroleum Engineering & Well Integrity

IPT Global Houston, TX

Houston, TX

Today

Full time Analytics Cloud Platform Data

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Job Description

Build early-career data science capabilities to support well integrity work focused on verifying safe well performance at IPT Global in Houston, TX (onsite).

Responsibilities

Support analysis of well barrier assurance and verification data under direction from senior data scientists
Assist with time series evaluation from well control equipment and help develop predictive maintenance models
Apply physics-based and data-driven modeling to field and test data
Learn to address noise and real-world test conditions while improving model reliability
Identify trends, anomalies, and patterns in operational data
Help build dashboards and KPIs for internal teams and clients
Prepare and present findings to colleagues and stakeholders
Contribute to technical documentation; as experience grows, support publications, conference presentations, and patent work

Requirements

Bachelor’s degree completed or expected within six months in a related engineering or quantitative field
Degree field options include: Petroleum, Mechanical, or other Engineering; or Mathematics, Statistics, Computer Science, Physics, or a related field
Strong foundation in statistics, including regression, probability distributions, and sampling
Some experience with Python, R, or MATLAB from coursework, internships, or personal projects
No professional experience required

Technologies

Python, R, MATLAB
Azure
Git

Bonus Points

Coursework, internships, or field experience in oil and gas, especially drilling, completions, or well integrity
Familiarity with well barrier concepts or standards such as NORSOK D-010, ISO 16530, API RP 90, or API Standard 53
Experience working with sensor or time series data from instrumented equipment or lab testing
Exposure to machine learning methods and model validation
Familiarity with Azure or another cloud platform, plus Git
Technical writing experience (example: thesis or capstone report)

Information will be kept confidential according to EEO guidelines.

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Today

Software Engineer II - UI/UX Product Engineering

Microsoft Washington, DC

Washington, DC

Today

$102k - $219k/yr Full time Agentic Ai Ai Agent Artificial Intelligence

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Job Description

Microsoft Education is hiring a Software Engineer II to build and ship frontier AI-powered, accessible UI/UX product experiences across Web, Windows, and Mobile in Washington, DC (onsite).

Responsibilities

Build and ship AI-powered experiences across Web, Windows, and Mobile that help students and educators learn, create, and achieve their goals.
Run experiments with emerging AI technologies, models, agents, and new interaction patterns, moving promising prototypes into production-quality product experiences.
Deliver high-quality, responsive, accessible, and inclusive UI/UX with strong UX craftsmanship and consistency across platforms, devices, and form factors.
Design efficient, reusable front-end systems and architecture to support building, testing, deployment, and ongoing evolution of complex product experiences.
Partner closely with Product, Design, Applied Science, and other engineering teams to understand customer needs and shape product and technical direction.
Own features end to end, including discovery, prototyping, implementation, testing, experimentation, rollout, telemetry, production health, and iteration.
Work across the stack when required, including service and API integrations, data contracts, authentication, AI orchestration and grounding, experimentation, telemetry, and production diagnostics.
Use AI in the engineering workflow by applying AI-assisted and agentic development approaches for exploration, coding, testing, debugging, and learning while maintaining quality, security, privacy, and responsible AI standards.
Apply a frontier and growth mindset by sharing ideas, learning quickly, challenging existing approaches, and contributing to engineering excellence and Microsoft culture and values.

Requirements

Bachelor’s Degree in Computer Science or a related technical field AND 2+ years of technical engineering experience with coding in languages including, but not limited to, JavaScript or Python.
OR equivalent experience.
Ability to meet Microsoft, customer, and/or government security screening requirements for this role.

Specialized security screening: Microsoft Cloud Background Check (required to pass upon hire/transfer and every two years thereafter).

Preferred Qualifications

3+ years of software development experience building web applications with JavaScript or TypeScript and a modern frontend framework such as React.
Experience designing, developing, and shipping high-quality software.
Experience building responsive and accessible web applications using TypeScript, React, or similar technologies.
Experience with object-oriented applications or services using C#, Java, C++, or similar languages.
Experience designing or integrating APIs and working with distributed cloud services.
Experience with public cloud services, including Azure, AWS, or Google Cloud.
Experience using AI-assisted development tools (e.g., GitHub Copilot, GitHub Copilot CLI, Claude Code, or comparable tools) for coding, testing, debugging, code review, documentation, and developer-workflow automation.
Ability to evaluate AI-generated output for correctness, maintainability, security, privacy, and licensing considerations, with appropriate human review before use.
Proven ability to troubleshoot complex technical issues in web applications or online services.
Effective written and oral communication and collaboration skills.
Discipline applying modern software engineering practices, including coding standards, code reviews, source control management, build processes, testing, and releasing.

Technologies

JavaScript, Python, TypeScript, React
C#, Java, C++
Azure, AWS, Google Cloud
GitHub Copilot, GitHub Copilot CLI, Claude Code

Compensation

Software Engineering IC3 typical base pay range across the U.S.: USD 102,100 - 202,200 per year.
Different base pay range for specific work locations:
- San Francisco Bay area and New York City metropolitan area: USD 133,800 - 219,200 per year.
Some roles may be eligible for benefits and other compensation. Additional pay information: https://careers.microsoft.com/us/en/us-corporate-pay.