Information Technology (IT)

Information Technology (IT) Engineer Jobs

363 jobs found

Today

SW Cyber Security Engineer

Glint Tech Solutions LLC Reston, VA

Reston, VA

Today

Full time Application Security Cloud Cloud Infrastructure

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Job Description

Glint Tech Solutions is a women owned global staffing and IT recruiting firm that connects top technical talent with leading enterprise clients across the United States. This mid level software cyber security engineer role offers a hybrid work arrangement in the DC metro area, with monthly onsite days in Reston, Virginia. The position supports a leading healthcare payer and focuses on application security testing and AWS cloud vulnerability management.

Located in Reston, VA, this role combines hands on security engineering with collaboration across development and security teams, advancing secure SDLC practices and DevSecOps within a Java and AWS environment.

What you will do

Conduct application security testing in a Java and AWS setup using tools such as Checkmarx, Contrast Security, TideLift, Burp Suite, OWASP Dependency Check, or Fortify.
Help implement secure SDLC, DevSecOps practices, and automate security within CI/CD pipelines.
Identify, triage, validate, and prioritize remediation activities using a risk based approach.
Harden AWS cloud environments and support container security across Kubernetes, Helm, and Docker.
Integrate security automation and metrics reporting with Jira, ServiceNow, or other risk management platforms.
Collaborate across CI/CD and source code management tools including Bitbucket, GitLab, GitHub, and Jenkins.

What you will need

Hands on experience with application security, secure SDLC, and DevSecOps practices.
Proficiency in Java, JavaScript, or Python with a focus on secure coding and vulnerability management.
Solid understanding of Linux and Windows operating systems and networking fundamentals.
Experience with container security involving Kubernetes, Helm, and Docker.
Direct experience with AWS cloud security.
Familiarity with application security testing tools such as Checkmarx, Contrast Security, TideLift, Burp Suite, OWASP Dependency Check, or Fortify.
Experience with CI/CD and source control platforms such as Bitbucket, GitLab, GitHub, and Jenkins.
Experience integrating security tooling with Jira, ServiceNow, or similar platforms.

Nice to have

OSCP or CEH certification preferred.
Background in healthcare or other regulated industries.

Technologies

Checkmarx, Contrast Security, TideLift, Burp Suite, OWASP Dependency Check, Fortify
Java, JavaScript, Python
Linux, Windows
Kubernetes, Helm, Docker
AWS
Jira, ServiceNow
Bitbucket, GitLab, GitHub, Jenkins

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Today

Lead AI Security Engineer

FM Johnston, RI

Johnston, RI

Today

$121k - $173k/yr Full time Agent Agentic Ai Ai Security

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Job Description

The Lead AI Security Engineer is a senior technical role focused on enabling secure AI adoption across FM. The position defines security requirements and implements controls for AI capabilities, partnering with platform, engineering, and product teams to operationalize AI security.

Responsibilities

Lead the definition, design, and implementation of security capabilities that enable secure enterprise AI adoption across platforms such as Microsoft Copilot, Claude, and agentic AI frameworks.
Define security and risk requirements for enterprise AI platforms and agent-based systems.
Translate security, risk, and regulatory expectations, including emerging AI risks, into clear technical controls, guardrails, and implementation patterns aligned to relevant industry frameworks and enterprise requirements.
Partner with AI platform, engineering, and product teams to embed security requirements and controls into architecture, design, delivery, and operations.
Conduct security reviews and threat modeling for AI use cases, agent workflows, integrations, and platform capabilities to identify required controls before production deployment.
Define and guide implementation of controls related to AI agent identity, tool and API access, data usage constraints, auditability, and agent behavior in enterprise environments.
Lead evaluation, proof-of-concept, and selection of activities for native and third-party capabilities that support AI security, governance, and control objectives.
Assess integration requirements across enterprise identity, logging, monitoring, data protection, and security tooling.
Drive cross-functional implementation efforts involving security, platform, engineering, and product teams to operationalize AI security capabilities and supporting processes.
Maintain practical standards, guidance, and best practices for secure AI deployment, configuration, and ongoing platform administration.
Provide consultation and technical direction where security is not the system owner, ensuring effective security requirements are defined and applied.

Requirements

7+ years of experience in information technology or cybersecurity, including at least five years in security engineering or a related technical area such as cloud security, identity and access management, data protection, application security, security operations, vulnerability management, incident response, or platform security.
Hands-on experience designing and implementing security controls in modern environments, including cloud platforms, APIs, identity systems, data protection, and monitoring.
Experience defining security requirements, standards, guardrails, or control frameworks in complex enterprise environments.
Practical experience or strong working knowledge of AI or LLM-based systems, including their behavior, risks, and security implications.
Experience partnering with engineering and platform teams to integrate security into architecture, design, delivery pipelines, and operations.
Demonstrated ability to evaluate technologies and guide technical decision-making.
Experience operating in complex, cross-functional environments and driving initiatives from concept through implementation.
Familiarity with Azure-based platforms and services, including Azure AI Foundry or related capabilities, preferred.
Exposure to enterprise AI platforms such as Microsoft Copilot, Claude, or similar platforms, preferred.
Strong technical knowledge of cybersecurity principles, including identity and access management, data protection, monitoring, secure architecture design, and security operations.
Strong understanding of AI and LLM-related risks, including data exposure, prompt manipulation, unsafe tool use, misuse of agent capabilities, and auditability challenges.
Ability to develop security and risk requirements from ambiguous or emerging technology risks.
Ability to translate security requirements into practical engineering solutions, configurations, and implementation patterns.
Familiarity with industry frameworks and guidance such as NIST Risk Management Framework, MITRE ATLAS, OWASP Top 10, and OWASP guidance for large language model applications.
Strong analytical, problem-solving, and communication skills; ability to work independently and collaboratively across teams.

Technologies

Microsoft Copilot
Claude
Azure AI Foundry

Benefits

Incentive plan
Medical, dental and vision insurance
Life and disability insurance
Well-being programs
401(k) and pension plan
Career development opportunities
Tuition reimbursement
Flexible work
Time off (vacation and sick time)

Schedule & Location

This is an onsite position based at our corporate headquarters in Johnston, RI, with the flexibility to work from home two days per week, depending on business needs.

Relocation

Relocation is not offered for this position

Education and Certifications

Bachelor’s degree in information security, Computer Science, Information Technology, or related field (Equivalent experience may be considered)
Relevant certifications, such as CISSP, CISM, Security+, GIAC, or cloud security certifications, preferred

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Today

Lead Applied AI Engineer II

Deloitte Washington, DC

Washington, DC

Today

$119k - $244k/yr Full time Artificial Intelligence AWS Aws Bedrock

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Job Description

Deloitte is seeking a Lead Applied AI Engineer II for an onsite role in Washington, DC. The position centers on hands-on software engineering across high-visibility initiatives, with an emphasis on delivering customer outcomes and tangible business value. The role also invites you to model technical leadership and mentor cross-functional teams to design, build, and deploy advanced solutions. Salary ranges from USD 118,700 to 243,700 per year. A bachelor’s degree and at least six years of relevant experience are required.

Responsibilities

Outcome driven accountability: uphold a culture focused on customer and business outcomes, delivering engineering solutions that solve complex problems with measurable value while maintaining lean, high‑quality designs and implementations.
Technical leadership and advocacy: act as the product’s technical champion, validating code quality and feasibility and aligning work with business and customer goals. lead requirements analysis, low‑level architecture and component design, development, testing, integrations, and support.
Engineering craftsmanship: safeguard architecture integrity and the enterprise standards across the tech stack. manage dependencies, design, implementation, quality, data, and ongoing maintenance. remain hands-on, continuously learn new approaches, and create technical specifications; produce high‑quality, scalable code and review peers’ code while mentoring them to ensure quality.
Customer centric engineering: develop lean solutions through rapid, low‑cost experimentation to address customer needs. engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
Incremental and iterative delivery: adopt a forward‑leaning mindset that emphasizes action and evidence over heavy planning, delivering lean, maintainable solutions that navigate complexity.
Cross-functional collaboration and integration: work with empowered product management, experience, and delivery teams; integrate diverse perspectives to balance feasibility, viability, usability, and value, fostering a collaborative environment that drives innovation.
Advanced technical proficiency: demonstrate deep expertise in modern software engineering practices, including AI and Agentic SSDLC, delivering daily product deployments with full automation from discovery to production to operations and quality checks throughout the SSDLC lifecycle. be a role model and apply these techniques to optimize solutioning and delivery, while focusing on the full lifecycle of product development and continuous improvement.
Domain expertise: rapidly acquire domain knowledge relevant to the business or product; translate business needs, architectures, and UX/UI designs into technical specifications and code; contribute as a flexible, quality‑driven teammate mindful of tech debt payoff.
Effective communication and influence: communicate complex technical concepts clearly and persuasively, inspiring teammates and product teams through well‑structured arguments and evidence‑based trade‑offs; craft narratives that align technical solutions with business objectives.
Engagement and collaborative co‑creation: collaborate with product engineering teams at all levels, including customers when needed; build constructive relationships and foster a culture of co‑creation and shared momentum toward product goals; align diverse perspectives to reach feasible solutions.

Requirements

Bachelor’s degree in computer science, software engineering, data science, machine learning, or a related discipline.
Six or more years of experience with technologies such as Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, and relevant unit testing frameworks.
Three or more years building AI/ML applications, with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open‑source models), RAG pipelines, prompt engineering, and vector databases.
Three or more years of cloud‑native engineering using FaaS, PaaS, or microservices on Azure, AWS, or GCP, including AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI.
One or more years establishing engineering standards, including actively leading, mentoring, and guiding team members in adopting and improving these standards.
Prior software engineering experience with Business Context Diagrams, sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, code instrumentation, and AI augmented, spec‑driven development.
Experience using XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (for example LangFuse, LangSmith, or similar multi‑agent orchestration tools) to deliver high quality products rapidly.

Technologies

Angular, React, NodeJS, Python, C#, .NET, Java
SQL/NoSQL, PyTorch, TensorFlow
LangChain, LangGraph
OpenAI, Anthropic, LangFuse, LangSmith
Azure, AWS, GCP; Azure OpenAI, AWS Bedrock, Vertex AI
FaaS, PaaS, MLflow
ADO, GitHub, SonarQube

The Successful Candidate Will Possess

Excellent interpersonal and organizational skills, with the ability to handle diverse situations, manage complex projects, and adapt to changing priorities with professionalism and empathy.

Other

Travel availability of approximately 10 percent, depending on project requirements.
Limited immigration sponsorship may be available.
The stated wage range reflects a broad range of factors considered in compensation decisions, including skill, experience, and business needs; geographic differentials may apply.
You may be eligible for a discretionary annual incentive program, subject to program rules and individual and organizational performance.

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1d ago

Principal Software Engineer / Tech Lead

Leidos Arlington, VA

Arlington, VA

1d ago

$131k - $237k/yr Full time Senior APIs Cloud Operations

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Job Description

Principal Software Engineer / Tech Lead with a salary range of USD 131,300 to 237,350 per year, onsite in Arlington, VA, supporting the Compartmented Enterprise Services Office to build and migrate secure web services on a highly automated, high-security cloud platform.

Responsibilities

Convert mission objectives and prioritized backlog items into tangible technical delivery plans and sprint goals
Lead the development and integration of secure APIs and data pipelines (structured and unstructured)
Work with languages and environments including JavaScript, GitLab, Jenkins, Ansible Automation, Python, Java, PSSQL, YAML, Terraform
Design and implement automated CI/CD build and deployment pipelines using Jenkins, Ansible, and Bitbucket
Apply DevSecOps practices with automated testing, observability, and security controls
Manage software release versioning and provide release management support across the software life cycle from development through test, QA, and production
Define and drive long term technical strategy and architectural direction across multiple teams
Oversee the design and delivery of scalable, secure, and maintainable software solutions
Serve as a senior technical authority and escalation point for cross team and cross domain issues
Champion engineering excellence including automated testing, CI/CD, reliability, and security
Establish standards, best practices, and governance for software development
Guide the responsible adoption of generative AI tools across engineering teams
Lead, manage, and develop senior engineers and technical teams
Own performance management, career development, succession planning, and talent growth
Foster a high performing, inclusive engineering culture
Coach leaders on effective team management, delivery, and technical decision making
Own delivery outcomes across multiple Agile teams, ensuring predictability and quality
Partner with product and business stakeholders to align roadmaps, priorities, and execution
Ensure effective Agile practices, metrics, and continuous improvement using Jira
Balance near term delivery with long term platform and technical investments
Incorporate customer feedback, operational insights, and data to drive product improvements
Act as a key engineering representative in cross functional and leadership discussions
Communicate technical vision, risks, and progress to senior leadership
Influence product strategy through deep understanding of users and technical constraints
Drive alignment across engineering, product, design, and operations

Requirements

Active TS/SCI security clearance
BA degree and 12+ years of experience; additional years may be considered in lieu of a degree
Proven track record leading multiple teams and delivering complex software systems
Demonstrated leadership with strong organizational and documentation skills
Strong background in automated testing, CI/CD, and modern software delivery practices
Experience with languages and environments including JavaScript, GitLab, Jenkins, Ansible Automation, Python, Java, PSSQL, YAML, Terraform
Hands-on full SDLC Agile software development experience with end to end automation, including production deployments
Experience designing and deploying DevOps pipelines with Bitbucket, Git, Jenkins, Artifactory and Ansible or equivalents
Excellent leadership, communication, and stakeholder management skills
Experience working in a high op tempo, top secret environment
Experience tracking projects in Jira or equivalent Agile project management software
Technical exposure to: GitHub, Gradle, PowerShell, Java Full Stack, Oracle 19c, Webservices, AWS

Technologies

JavaScript
GitLab
Jenkins
Ansible Automation
Python
Java
PSSQL
YAML
Terraform
Bitbucket
Git
Artifactory
AWS
GitHub
Gradle
PowerShell
Java Full Stack
Oracle 19c
Webservices
Jira

Benefits

Health and Wellness programs
Income Protection
Paid Leave
Retirement

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1d ago

Lead Security Engineer

JPMorganChase Tampa, FL

Tampa, FL

1d ago

Full time Ai Enabled Security Ai Security Application Security

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Job Description

Lead Security Engineer at JPMorganChase, onsite in Tampa, FL, delivering secure software solutions as part of a high-performing Cybersecurity team.

Responsibilities

Develops and implements innovative security solutions, handling design, development, and technical troubleshooting beyond routine approaches to solve complex problems.
Creates secure production code and reviews or debugs code produced by teammates.
Reduces security vulnerabilities by applying industry insights and regulatory requirements, and by establishing processes to measure and improve current controls.
Utilizes enterprise-approved AI capabilities to accelerate threat modeling, vulnerability analysis, and security documentation, validating results and ensuring proper handling of sensitive data.
Collaborates with stakeholders and business leaders to understand security needs and recommends changes during periods of vulnerability.
Performs discovery, vulnerability assessments, penetration testing, and threat modeling across multiple assets, including external applications interfacing with the JPMorganChase network.
Incorporates reuse-first, AI-assisted practices within SDLC/toolchains to strengthen security testing and control validation, ensuring traceability and alignment with resiliency and security expectations.
Contributes to a team culture of diversity, opportunity, inclusion, and respect.
Collaborates effectively with teams located in multiple geographic locations.

Requirements

5+ years of experience with Java and Python in cloud environments (public or private).
Proven ability to plan, design, and implement enterprise-grade security solutions.
Hands-on AI/ML engineering skills, including experience with frameworks such as PyTorch or TensorFlow, and MLOps with CI/CD and model deployment/monitoring.
Deep GenAI expertise (LLMs, prompt engineering, RAG, fine-tuning, embeddings/vector databases) and Agentic AI knowledge (tool/function calling, orchestration frameworks, multi-agent workflows, evaluation guardrails, and responsible AI/security).
Demonstrated experience using enterprise-approved AI capabilities to support security engineering workflows with strong validation practices and awareness of data sensitivity.
Ability to review and validate AI-assisted code and security recommendations before adoption, escalating uncertainty and ensuring outcomes align with security, resiliency, and auditability expectations.
Proficient in all aspects of the Software Development Life Cycle including development, testing, and implementation.
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
In-depth knowledge of the financial services industry and its IT systems.

Technologies

Java
Python
PyTorch
TensorFlow
CI/CD
MLOps
LLMs
vector databases

Benefits

Base salary
Commission-based pay
Discretionary incentive compensation
Cash
Forfeitable equity
Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

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1d ago

Cybersecurity Engineer - PAM

Solu Technology Partners Buffalo, NY

Buffalo, NY

1d ago

$162k - $162k/yr Full time Active Directory Azure Azure Active Directory

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Job Description

The Cybersecurity Engineer specializing in Privileged Access Management (PAM) and Secrets Management will design, implement, and support PAM and Secret lifecycle solutions across hybrid cloud environments from an onsite location in Buffalo, NY.

Responsibilities

Design, implement, administer, and optimize enterprise PAM solutions to enforce least privilege and secure privileged access.
Manage credential vaulting, privileged session control, access policy enforcement, credential rotation, and audit logging.
Implement and support secrets management using Azure Key Vault for secure storage and lifecycle management of application secrets, certificates, and encryption keys.
Develop and maintain controls that enable just-in-time access, credential rotation, and continuous privileged session monitoring.
Ensure PAM deployments comply with security, compliance, audit, and regulatory requirements.
Integrate PAM and secrets management capabilities into CI/CD pipelines and modern DevOps workflows.
Develop automation with PowerShell, REST APIs, and other scripting technologies to streamline onboarding, credential management, provisioning, and lifecycle operations.
Create reusable automation for onboarding privileged accounts, password rotation, access workflows, and platform integrations.
Collaborate with DevOps, cloud, and application development teams to embed security controls into cloud-native and enterprise applications.
Design and support secure PAM integrations across hybrid infrastructure including Windows, Linux, Active Directory, Entra ID, and Microsoft Azure.
Support a highly available, resilient, and scalable PAM platform architecture.
Implement authentication, authorization, logging, monitoring, and security controls across enterprise environments.
Troubleshoot complex identity and privileged access issues while maintaining operational excellence.
Partner with infrastructure, identity, cloud, application, and security teams to strengthen privileged access security.
Participate in security architecture reviews and advise on improvements to privileged access controls.
Support internal and external audits by providing documentation, reporting, and evidence of security controls.
Develop operational procedures, standards, and technical documentation for PAM services.

Requirements

This opportunity is not open to C2C relationships or visa sponsorship.
Local candidates only.
Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or equivalent professional experience.
Demonstrated expert-level experience designing, implementing, and supporting Privileged Access Management and Secrets Management solutions within large enterprise environments.
Strong hands-on experience with CyberArk Privileged Access Management, including:
- Credential vaulting
- Privileged session management
- Access policy management
- Credential lifecycle automation
- Audit logging
Experience implementing and administering Azure Key Vault.
Experience automating security processes using PowerShell and REST APIs.
Solid understanding of least privilege, privileged identity security, credential rotation, and privileged access governance.
Experience supporting Windows and Linux server environments.
Strong knowledge of Active Directory and Microsoft Entra ID.
Experience integrating security controls into DevOps and CI/CD pipelines.
Excellent analytical, troubleshooting, communication, and collaboration skills.

Technologies

CyberArk
Azure Key Vault
PowerShell
REST APIs
Active Directory
Microsoft Entra ID
Microsoft Azure
Windows
Linux
GitLab
Ansible
CyberArk Cloud or DevOps Extensions (CDE)

Preferred Qualifications

Experience with CyberArk Cloud or DevOps Extensions (CDE).
Experience with GitLab and Ansible.
Experience integrating PAM solutions with cloud-native applications and infrastructure.
Experience supporting highly regulated environments such as financial services, healthcare, or government.
Knowledge of enterprise authentication, authorization, logging, monitoring, and security architecture best practices.
Industry certifications such as CyberArk Defender/Sentry, Microsoft Azure Security, CISSP, Security+ or related credentials are preferred.

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1d ago

Jr. Software Engineer - Commercial Money Movement - USC and GC Candidates ONLY

Hudson Manpower Cincinnati, OH

Cincinnati, OH

1d ago

Full time Backend Developer Database Databases

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Job Description

Hudson Manpower is seeking a junior software engineer to contribute to commercial money movement initiatives within the Direct platform. This onsite role in Cincinnati, Ohio focuses on building and modernizing applications using Java, Node.js, and Spring/Spring Boot. The position is open to USC and GC candidates only.

Responsibilities

Develop, test, and maintain Direct platform applications using Java and Node.js.
Ensure code quality and maintainability through best practices and code reviews.
Integrate diverse systems and applications to ensure smooth data flow and functionality.
Collaborate with IT and business teams to bring modernization solutions into existing systems.
Work with APIs and web services to enable interoperability.
Optimize applications and infrastructure for performance and cost efficiency.
Contribute to ongoing infrastructure improvements to support growing business needs.

Requirements

Strong proficiency in Java and Node.js.
Experience with Spring and Spring Boot.
Testing and debugging capabilities.
Database management and SQL skills.
Understanding of the Software Development Life Cycle and Agile/SAFe methodologies.
Ability to create and maintain comprehensive software documentation.
Collaborative, team-oriented mindset.