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Job DescriptionJob Requirement – DevOps Engineer Title: DevOps Engineer Location: Hybrid (Newark) – 1-2 times per week (Only local candidates will be considered) Type: Contract-to-Hire NOTE: We cannot utilize third parties for this position. Please do not contact about this position.Overview We are seeking a DevOps Engineer to support enterprise-wide CI/CD pipeline adoption and infrastructure automation. This role will focus on building, onboarding, and maintaining shared frameworks and deployment processes across multiple teams and environments (AWS, Databricks, Snowflake, Kubernetes). The engineer will work under senior architects and play a key role in scaling DevOps best practices across the organization. Key Responsibilities • Design, build, and maintain CI/CD pipelines (Jenkins, Git)., • Onboard application teams onto enterprise-wide CI/CD pipelines., • Develop and maintain shared frameworks and libraries to support scalable deployments., • Implement Infrastructure as Code (IaC) using Terraform, Ansible, Helm, and CloudFormation., • Support deployment processes for Databricks and/or Snowflake applications (not as a data engineer, but ensuring pipeline-driven deployments)., • Configure and manage Kubernetes deployments using Helm charts., • Ensure secure, automated provisioning and configuration in AWS., • Support event-driven processes with familiarity in Kafka and related architectures., • Collaborate with senior developers and architects to expand adoption of DevOps practices across the enterprise.DevOps Engineer Required Skills & Experience, • 3–5 years of experience in DevOps engineering or related roles., • Strong experience with CI/CD tools: Jenkins, Git., • Proficiency in scripting/programming languages: Python, Java, Groovy., • Hands-on experience with Infrastructure as Code: Terraform, Ansible, Helm, CloudFormation., • Familiarity with AWS cloud services., • Experience with Kubernetes deployments., • Exposure to event-driven architectures and Kafka., • Experience supporting deployment pipelines for data platforms such as Databricks or Snowflake (one is sufficient).DevOps Engineer Nice to Have, • Experience managing and scaling shared libraries/frameworks across multiple teams., • Prior work in event-driven enterprise ecosystems., • Ability to contribute to DevSecOps practices.DevOps Engineer Ideal Candidate Profile, • A mid-level engineer (3–5 years) who can work independently but also grow under senior architect supervision., • Strong problem-solver with the ability to scale processes across multiple teams., • Not necessarily a “career architect” but skilled in automation and framework building. #Contech

Job DescriptionSenior Platform Engineer Hybrid, requiring 2 days per week onsite in Newark, NJ NOTE: We are unable to consider Third Party candidates. Please do not contact or submit. Job Profile Summary The Senior Platform Engineer is integral to developing client middleware platforms and automations. This role involves architecting solutions, guiding junior engineers, and collaborating across teams to automate deployments. The Senior Platform Engineer utilizes the latest DevOps tools and services to create automation, reducing manual tasks and speeding up market delivery. Additionally, they document processes and procedures by writing SOPs while adhering to industry standards and best practices. Key Responsibilities • Design and implement highly available, resilient, and cost-effective platforms and middleware solutions., • Lead automation initiatives using Infrastructure as Code (IaC) and DevOps practices to enhance efficiency., • Build, maintain, and optimize CI/CD pipelines for containerized applications., • Engineer and support container platforms like RedHat OpenShift and other Kubernetes platforms (EKS/AKS/ECS)., • Implement and manage service mesh technologies (e.g., Istio) to improve traffic management and microservices security., • Establish monitoring, logging, and alerting standards to ensure platform reliability and performance., • Act as a subject matter expert for Middleware platforms, advising on architecture and best practices., • Collaborate with security teams to integrate governance, security controls, and DevSecOps practices., • Lead troubleshooting efforts and act as an escalation point for complex production issues., • Install, configure, and maintain middleware platforms, Kubernetes clusters, and supporting infrastructure., • Mentor and guide junior engineers, promoting best practices and technical growth., • Document architecture, operational procedures, and standard operating processes., • Participate in technical discussions, contributing to architectural decisions and cross-functional collaboration., • Evaluate emerging technologies and recommend improvements for platform performance and scalability.Education & Experience Education: • Bachelor's degree required or 12 years of relevant experience in lieu of a degree. Work Experience: • 10 years of related IT work experience., • Hands-on experience with RedHat OpenShift or similar Kubernetes/Container platforms., • Experience in automating CI/CD pipelines for Kubernetes/Container platforms., • Proficiency with Docker/Podman, Git, Jenkins, and other CI/CD tools., • Experience with Istio Service Mesh or similar technologies for microservices security., • Knowledge of DevSecOps concepts and tools is necessary., • Experience with Infrastructure as Code (IaC) tools, especially Terraform., • Hands-on experience with AWS or Azure cloud platforms., • Experience with IBM Event Streams or IBM App Connect Enterprise is highly preferred., • Knowledge of AWS Foundational Services like ECS, EC2, IAM, and VPCs., • Proficiency in scripting languages such as Shell scripting, Python, or PowerShell., • Experience with IBM CloudPak products is a plus., • Middleware experience with IBM WebSphere products is a plus., • Knowledge of distributed operating systems like Linux, Windows, or AIX., • Understanding of load balancers, DNS resolutions, and network troubleshooting related to Middleware technologies.Skills, • Strong problem-solving and analytical skills., • Excellent communication skills for discussing technical issues., • Strong interpersonal skills for interfacing with all levels of personnel., • Excellent customer service skills., • Ability to work independently and as part of a team., • Collaborate closely with development teams to containerize legacy applications and optimize performance on Kubernetes.

Job Description NJ - Can be remote or hybrid Primary Skill : Network Security Controls, Secrets Management, SABSA Framework We are looking for someone with over 12 years of experince, as, The Security Engineer - Risk & Controls, who will be responsible for identifying and assessing technology and security risks, driving remediation efforts, strengthening control frameworks, and partnering with engineering teams to implement secure and compliant solutions. This role spans hands-on security expertise, risk management, governance, and control oversight across blockchain, cloud, and enterprise platforms. Conduct security risk assessments, identify control gaps across applications, infrastructure, cloud, and blockchain environments, and design/assess effective security controls. Drive the remediation of security findings, vulnerabilities, audit issues, and control deficiencies through to closure. Partner with engineering, architecture, and operations teams to integrate security into system design/delivery, perform threat modeling, and participate in solution reviews. Support identity and access management (IAM), secrets management, encryption, and key management practices. Support internal audits, regulatory reviews, compliance assessments, evidence collection, and issue remediation. Develop security policies, standards, procedures, and control documentation while monitoring risk metrics to report to management. Expertise in conducting security risk/control evaluations and driving remediation activities. Strong understanding of standard frameworks such as NIST, ISO 27001, CIS Controls, COBIT, or similar standards. Core understanding of cloud security principles and major providers (AWS, Azure, or GCP) Solid knowledge of Identity and Access Management (IAM), secrets management, encryption, and key management practices. Hands-on experience supporting audits, regulatory assessments, or compliance reviews. Knowledge of blockchain technologies, smart contracts, cryptography, and distributed ledger platforms (e.g., Ethereum, Hyperledger Besu, Canton, Solana, Polygon).. Proficiency in modern JavaScript/TypeScript frameworks (e.g., React.js, Angular, or Vue.js).Experience with Secure Software Development Lifecycle (SSDLC), DevSecOps practices, and CI/CD pipeline integration. Familiarity with Governance, Risk, and Compliance platforms such as Archer, ServiceNow GRC, or MetricStream. Experience managing vulnerability management and security testing programs. Ability to develop risk metrics, dashboards, and executive-level reporting.

Job DescriptionSr. Azure DevSecOps Engg. Location - NJ Need 2-3 days onsite ( Hybrid ) . Need candidates only with 12 + years experience . No H1B Transfer Candidates OR OPT/CPT This is a DevSecOps Role and not DevOps. Strong Azure Services, SAST/DAST , GitHub, Kubernetes, AKS , Terraform and Python Scripting experience is required. Our client is seeking a highly skilled DevSecOps Engineer to design, build, and maintain secure and scalable CI/CD pipelines for application and database deployments. Key Responsibilities: Design and maintain CI/CD pipelines for applications and databases using tools such as Azure DevOps, Jenkins, Smart City, GitLab CI, or GitHub Actions. Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or Helm. Integrate automated testing frameworks (junit, Slenium etc) and code coverage tools (e.g., SonarQube etc). Embed static and dynamic security scanning tools (SAST/DAST) into pipelines. Implement and monitor database CI/CD workflows for version-controlled schema migrations. Ensure secure secrets management using Azure Key Vault. Continuously monitor pipeline performance and enforce compliance, code quality, and security policies. Collaborate with application and database developers to optimize release strategies and rollback mechanisms. Conduct incident response drills, threat modeling, and vulnerability assessments within CI/CD contexts. Document DevSecOps processes and provide training to development teams on security and best practices. Required Skills & Experience: Proven experience with DevSecOps practices and tools. Proficiency in CI/CD platforms like Azure DevOps, Smart City, GitHub Actions, GitLab CI, or Jenkins. Solid understanding of cloud platforms (Azure, ). Experience with IaC tools like Terraform, CloudFormation. Strong background in code testing frameworks and code quality tooling (JUnit, SonarQube, etc.). Hands-on with database CI/CD, schema versioning, and database migration practices. Experience with containerization (Docker) and orchestration (Kubernetes, AKS). Familiarity with secure coding principles and compliance standards. Strong scripting skills in Python, Bash. Preferred Qualifications: Certifications: Azure DevOps Engineer. Experience with monitoring and observability tools. Experience in multi-cloud or hybrid-cloud DevSecOps pipelines. Familiarity with data masking, auditing, and encryption in the database CI/CD context. Flexible work from home options available.

Job DescriptionMandatory Skills: Devops Engineers are hybrid software and system engineers responsible for maintaining and enhancing client cloud footprint. As a DevOps Engineer you will be responsible for developing the efficient planning, provisioning, installation/configuration, and operations of systems hardware and software and related infrastructure in a hybrid cloud architecture. As well as developing all the necessary process with guidance from architecture to facilitate above actions. infrastructure architecture team and expected to lead by example the right way to deploy to the cloud. You will also be expected to serve as a mentor to our existing devops and newly formed cloud operations team. Working closely with architecture, operational, and security teams, you will play a key role in developing new teams and processes to support client cloud applications. Key Responsibilities: Act as a bridge between developers, architects and engineers to solve problems and enhance the security, reliability and performance of the platform. Provide subject matter expertise and guidance to the infrastructure operations teams. Automate all aspects of the technology lifecycle from deployment through to decommissioning. Build systems that proactively monitor the security, health and performance of cloud applications. Design and maintain CI/CD systems and processes to support smooth software releases. Be an ambassador for the DevSecOps mindset in both technical and non-technical settings. Required Skills & Qualifications Act as a bridge between developers, architects and engineers to solve problems and enhance the security, reliability and performance of the platform. Provide subject matter expertise and guidance to the infrastructure operations teams. Automate all aspects of the technology lifecycle from deployment through to decommissioning. Build systems that proactively monitor the security, health and performance of cloud applications. Design and maintain CI/CD systems and processes to support smooth software releases. Be an ambassador for the DevSecOps mindset in both technical and non-technical settings.

Job Description Interview Mode: Video and Face to Face (Final) Mandatory Skills • 7–10 years of Release Management / DevOps experience., • Strong Release Management and CI/CD experience., • Hands-on Jenkins experience., • Strong Groovy scripting skills., • Experience creating and troubleshooting CI/CD pipelines., • Strong working knowledge of AWS and cloud deployments., • Strong communication, coordination, and stakeholder-management skills. Good to Have Skills • Media / Entertainment / Streaming industry experience., • Docker / Kubernetes., • Terraform / Infrastructure as Code., • Azure / GCP experience., • Jira, Confluence, ServiceNow., • DevSecOps experience.

Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for a Technical Product Owner to manage the strategy, roadmap, and adoption of enterprise cybersecurity platforms and developer security workflows. The mandatory requirements are 5+ years of technical product ownership or management, AppSec/DevSecOps experience, technical fluency in code and APIs, autonomous product strategy execution, data-driven decision-making, cross-functional leadership, and upper-intermediate English. Software development or security architecture experience is a plus. WHAT YOU WILL DO • Product Strategy & Roadmap Ownership: Define and drive the multi-quarter roadmap for workstreams, aligning executive risk reduction goals with measurable developer adoption and workflow velocity., • Developer Experience (DevEx) & Adoption: Treat security tooling as a product; design scanning engines (ASPM ingestion, AI-SDLC scanning) and developer portals that minimize developer friction and eliminate build blockers., • Platform Architecture Collaboration: Partner directly with software engineers, cloud architects, and security researchers on API contracts, pipeline data flows, and automated policy modernization., • Identity & Access Alignment: Collaborate with enterprise teams to integrate robust identity, role modeling (RBAC/ABAC), and authorization standards into developer platforms and artifact repositories., • Cross-Functional Influence: Translate complex regulatory and cybersecurity policies into clear, user-centric feature specs and self-service automated workflows across global business units. MUST HAVES • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;, • 5+ Years in Technical Product Ownership or Management: Proven success driving strategy and delivery for cybersecurity products, developer platforms, or automated tooling from concept through broad adoption., • Deep Application & Platform Security Domain: Direct, working knowledge of AppSec/DevSecOps workflows and tooling—including SAST, DAST, SCA, ASPM, vulnerability lifecycle triage, and CI/CD security gating., • Hands-on Technical Fluency: Ability to read code, discuss system integrations, and evaluate API designs and data flows directly with engineering pods., • Fully autonomous in driving product strategy from inception to adoption. Excels at data-driven decision-making and cross-functional leadership without requiring day-to-day direction., • Upper-intermediate English level. NICE TO HAVES • Prior professional experience as a software developer, DevSecOps engineer, or security solutions architect prior to moving into product management., • Experience designing internal developer portals (IDPs), SRE/infrastructure tooling, or Golden Paths inside large, regulated enterprise environments., • Direct exposure to enterprise SecOps platforms (e.g., SIEM, SOAR, CrowdStrike, Splunk) or AI-assisted development and remediation tooling., • Software development or security architecture experience. PERKS AND BENEFITS • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps., • Competitive compensation: USD-based pay with education, fitness, and team activity budgets., • Exciting projects: Modern solutions with Fortune 500 and top product companies., • Flextime: Flexible schedule with remote and office options.

Job Description This software engineer role will be a key contributor to the Reporting Service, the software Engineer would work with Business / Technology / Architecture teams to understand requirements & develop cutting-edge digital products. The ideal candidate will have deep understanding & hands-on expertise in designing, developing, and implementing web-based reporting services in the cloud Responsibilities: • Collaborate with cross-functional teams, including business stakeholders, engineers, enterprise architects and IT teams, to develop and deliver high-quality software., • Leverage knowledge of industry trends to build best in class technology to provide competitive advantage., • Participate in code reviews, providing valuable feedback to maintain code quality and adherence to best practices., • Maintain detailed documentation of your work and changes following the best practices., • Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers., • Provide ongoing support, monitoring and maintenance of deployed applications. Skills: • Bachelor's or master's degree in computer science, software engineering or a related field., • Minimum of 8-10 years of experience in software engineering., • Expertise in Java programming language including frameworks like Spring Boot, Hibernate etc.,, • Expertise in REST API development., • Proficiency in implementing java rules engines such as Drools., • Proficiency in Enterprise java applications using EJB, JMS and server-side programming. Hands on experience with WebLogic application server, • Proficiency in migrating on-prem applications to cloud-native applications, • Expertise in implementing scalable containerized computing and solutions for example Kubernetes, Docker etc.,, • Good hands-on experience working with Oracle & MySql DB., • Proficiency in data formats such as JSON, HL7, and XML, • Agile Development, DevSecOps, and standard software development tools such as Git and Jira, • Deep technical knowledge of 1 public cloud services (preferably Azure), • Excellent problem-solving and analytical skills, • Strong communication and collaboration skills with both technical and non-technical stakeholders. Other requirements: • Experience in the healthcare industry, preferably focusing on clinical and billing data., • Experience with tools like Dynatrace.

Job Description Job Title: Senior AI Tech Lead Location: JERSEY CITY NJ Employment Type: Full Time Strong hands-on capability in Python, TypeScript/JavaScript, REST APIs, microservices, event-driven patterns, and containerized deployments. Experience with AWS Bedrock, SageMaker, Lambda, Step Functions, ECS/EKS, API Gateway, S3, CloudWatch, and CI/CD tooling Python, TypeScript/JavaScript, REST APIs, microservices, Event-driven patterns, AWS Bedrock, SageMaker, Lambda, Step Functions, ECS/EKS, API Gateway, S3, CloudWatch, prompt engineering, agent orchestration, tool integration, Vector stores, embeddings, model evaluation, and AI guardrails, AI agent capabilities, API layers, RAG services, tool connectors Experience Required 10 Years Must Have Technical/Functional Skills • Strong hands-on capability in Python, TypeScript/JavaScript, REST APIs, microservices, event-driven patterns, and containerized deployments., • Experience with AWS Bedrock, SageMaker, Lambda, Step Functions, ECS/EKS, API Gateway, S3, CloudWatch, and CI/CD tooling., • Deep understanding of prompt engineering, agent orchestration, tool integration, vector stores, embeddings, model evaluation, and AI guardrails., • Ability to enforce engineering standards, code quality, secure coding, performance tuning and observability practices., • Strong leadership, mentoring, estimation, planning, and stakeholder communication skills., • Familiarity with compliance, audit logging, model risk controls, and responsible AI practices. Responsibilities • Lead technical delivery of AI agent capabilities, reusable platform components, integrations and automation workflows., • Translate solution architecture into detailed engineering designs, sprint plans, and implementation tasks., • Guide developers on AI patterns, cloud-native implementation, secure coding, testability & performance optimization., • Build and review core components such as agent orchestration services, API layers, RAG services, tool connectors, and model interaction modules., • Coordinate with architects, product owners, UX designers, security SMEs, and QA to drive end-to-end delivery., • Establish technical best practices, coding standards, review processes, and reusable accelerators., • Support environment readiness, deployment planning, defect triage, production readiness reviews & knowledge transition. Generic Qualifications • Bachelor's degree in Computer Science Engineering, Data Science, or related discipline; advanced degree preferred., • 10 years of software engineering experience with 3 years in AI/ML, Gen AI, or intelligent automation delivery., • Hands-on experience building LLM-based applications, AI agents, RAG pipelines, APIs & cloud-native services., • Experience leading engineering teams in agile delivery models for enterprise-scale platforms., • Strong exposure to AWS cloud services and modern DevSecOps practices., • Insurance or financial services technology delivery experience preferred.

Job Description Job Title: Java/Node.js Engineer – Security Remediation & Technical Debt Automation Location: NJ or STL (Hybrid) Employment Type: Contract Experience Level: 7+ years Rate : 55-60$/Hr on 1099 / C2C About the Role We are seeking a highly skilled Java/Node.js Engineer with expertise in application security remediation, technical debt reduction, and automated vulnerability fixes. This role involves identifying, triaging, and remediating security vulnerabilities across Java, Node.js, Ruby on Rails, and WordPress applications. You will also drive automated remediation workflows and work with Generative AI tools (e.g., AWS Bedrock) to accelerate secure coding and vulnerability fixes. This position requires collaboration with InfoSec, QA, DevOps, Architecture, and development teams to continuously improve our security posture. Key Responsibilities Vulnerability Remediation & Secure Coding • Analyze, triage, and remediate vulnerabilities identified through SAST, DAST, and SCA tools (SonarQube, Veracode, Checkmarx, Snyk, OWASP ZAP)., • Refactor insecure Java, Node.js, Ruby on Rails, and WordPress codebases to fix issues such as:, • SQL Injection, XXE, XSS, • CSRF, SSRF, • Insecure Deserialization, • Authentication & session management flaws, • Path traversal or file upload vulnerabilities, • Patch and upgrade vulnerable third-party dependencies (Maven, Gradle, npm, Bundler, Composer) and validate remediation results., • Harden and secure configurations across:, • Spring Boot APIs, • Node.js/Express.js services, • Ruby on Rails frameworks, • WordPress environments and plugins, • Ensure fixes do not impact app functionality by performing regression testing and user flow validation. Automation & GenAI-Driven Security • Integrate security checks and automated remediation into CI/CD pipelines (Jenkins, GitHub Actions)., • Build or enhance AI-driven security workflows using AWS Bedrock or equivalent GenAI platforms:, • Auto-generate secure code patches, • Summarize vulnerability reports, • Suggest prioritized fixes, • Provide real-time security recommendations for developers, • Develop custom scripts to automate scanning, remediation, and validation processes. Technical Debt & Platform Modernization • Identify and fix legacy security issues across Java, Node.js, Rails, and WordPress applications., • Modernize outdated components, remove deprecated libraries, and refactor insecure patterns., • Harden Docker images, Linux environments, Kubernetes configurations, and AWS cloud setups. Collaboration & Continuous Improvement • Work closely with InfoSec and QA teams to validate fixes, perform rescans, and close vulnerability tickets., • Partner with development teams to promote secure coding best practices., • Stay current on OWASP Top 10, CWE/SANS 25, CVEs, and emerging security threats across multiple tech stacks. Required Skills • Strong hands-on experience with Core Java, Spring Boot, REST APIs, Tomcat, and secure Java coding., • Proficiency in Node.js, Express.js, JavaScript/TypeScript., • Exposure to Ruby on Rails and WordPress, with the ability to assist in vulnerability remediation and secure configuration., • Strong understanding of application vulnerabilities and mitigation techniques (e.g., XSS, CSRF, SQL Injection)., • Experience with Veracode, Checkmarx, SonarQube, Snyk, or similar scanning tools., • Familiarity with OAuth2/JWT, encryption, secure session management, and API security., • Experience with Docker, Kubernetes, Linux hardening, and AWS cloud security., • Experience using or integrating Generative AI (AWS Bedrock, CodeWhisperer) in security workflows., • Hands-on experience with CI/CD pipelines and automated security integration. Preferred Qualifications • Experience with microservices, API gateways, and cloud-native security., • Understanding of OWASP ASVS, threat modeling, and DevSecOps best practices., • Experience with automating remediation workflows using GenAI., • Certifications: CEH, CSSLP, OSCP, GSSP-Java, or similar. Soft Skills • Strong analytical, debugging, and problem-solving skills., • Excellent communication and documentation abilities., • Collaborative mindset with the ability to work across security, development, and DevOps teams., • Self-driven, proactive, and detail-oriented with a commitment to secure, high-quality code.

Job Description Job Title: Director of Engineering Location: Hoboken, NJ Division: Technology Department: Engineering About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company’s portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications. Job Summary The Director of Engineering leads the engineering team to deliver high-quality, innovative, and scalable technology solutions aligned with the company's strategic goals. This role balances technical depth with leadership excellence, fostering a high-performance engineering culture while ensuring timely and successful execution of engineering projects. Key Responsibilities • Leadership & Strategy, • Define and drive the engineering roadmap in alignment with company goals., • Provide technical guidance, mentorship, and career development to engineering managers and engineers., • Collaborate with executive leadership, product, and operations to define priorities and scope., • Execution & Delivery, • Oversee project execution, ensuring delivery timelines, budget, and quality standards are met., • Establish and enforce engineering best practices, coding standards, and quality assurance processes., • Drive continuous improvement in development processes, tools, and systems., • Team Building & Talent Development, • Build and retain a world-class engineering team by recruiting, developing, and retaining top talent., • Promote a culture of ownership, innovation, and accountability., • Conduct regular performance evaluations and set growth objectives., • Cross-Functional Collaboration, • Partner closely with cross-functional teams of Tech leads, Product, Manufacturing and other teams to deliver cohesive product experiences., • Represent engineering team in strategic planning, business reviews, and customer engagements as needed., • Technology Oversight, • Stay current with technology trends and evaluate their applicability to business needs., • Make architectural decisions and oversee implementation of scalable, secure, and maintainable systems., • Champion the use of modern technologies and development methodologies (e.g., Agile, CI/CD, DevSecOps). Minimum Qualifications • Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field., • 10+ years of engineering experience, including 3–5 years in a senior leadership role., • Proven experience leading distributed, high-performing engineering teams., • Strong understanding of systems architecture, software engineering, and development operations., • Excellent communication, collaboration, and decision-making skills., • Experience working in a fast-paced, scaling environment (e.g., startups, tech-focused enterprises). Preferred Qualifications • Experience with multiple engineering domains (FPGA, Embedded firmware, Software& applications, Electrical, Mechanical), • Background in deep tech industry (FPGA, Quantum, Silicon Photonics)., • Familiarity with budget management and vendor negotiations. Quantum Computing Inc. (QCi) is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.

Job DescriptionPosition Overview We are seeking a senior-level AI/ML Security Engineer to help establish and mature security practices across machine learning, generative AI, and agentic development environments. This is a Hybrid onsite engagement, located in NJ 3 days a week, ideally paying on a W2 hourly basis. This role sits at the intersection of cybersecurity, software engineering, MLOps, and emerging AI technologies. The engineer will be responsible for identifying risks within AI/ML systems and building practical security controls into the platforms, pipelines, and development processes used to create and deploy them. A major focus will be securing the rapidly evolving use of LLMs, AI coding assistants, autonomous agents, RAG architectures, and agentic software-development workflows. The ideal candidate is highly technical and capable of both defining security strategy and implementing controls through code and automation. Key Responsibilities Design and implement security controls throughout AI/ML and MLOps pipelines, including data ingestion, model development, validation, storage, deployment, and inference. Assess security risks associated with machine learning models, LLM applications, AI agents, datasets, prompts, and AI-enabled applications. Evaluate the security of AI coding assistants, coding agents, autonomous agents, and agentic workflows used within software engineering organizations. Establish security guardrails for AI-assisted development platforms, agent orchestration frameworks, and autonomous development pipelines. Help develop an enterprise framework for securing the Agentic Development Lifecycle (ADLC), incorporating threat modeling, secure development requirements, testing, deployment controls, approvals, and continuous monitoring. Evaluate AI Security Posture Management (AI-SPM) capabilities and establish processes for discovering, classifying, prioritizing, and remediating AI-related security risks. Assess emerging attacks against LLMs, frontier AI models, and autonomous agents and translate those risks into preventative and detective security controls. Develop and maintain automation and security capabilities using Python and CI/CD technologies. Integrate model and AI security scanning into development pipelines as part of a shift-left security strategy. Analyze model-scanning and vulnerability-assessment results and partner with engineering teams on remediation. Assess model inference and deployment architectures with consideration for security, performance, scalability, and resource utilization. Evaluate security surrounding agent sandboxes, runtime environments, tool access, permissions, agent-to-tool communication, and execution workflows. Establish controls governing autonomous agent behavior, including permissions, approval mechanisms, runtime restrictions, secrets management, and data-access boundaries. Partner closely with application security, platform engineering, software development, data science, and machine learning teams. Research emerging AI security threats and recommend improvements to enterprise security architecture and engineering practices. Required Experience 8+ years of experience across software engineering, cybersecurity, application security, platform engineering, or related technical disciplines. 5+ years of hands-on software engineering or development experience. Strong understanding of AI/ML security, GenAI security, and agentic AI risks. Hands-on experience building or supporting MLOps pipelines and model deployment environments. Experience with platforms such as MLflow, Kubeflow, AWS SageMaker, or comparable MLOps technologies. Strong Python programming and automation skills. Strong understanding of modern CI/CD pipelines and secure software-development practices. Experience incorporating security testing or scanning into automated development pipelines. Hands-on familiarity with AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, Windsurf, Microsoft Copilot, or similar platforms. Experience using AI-assisted engineering techniques across one or more languages such as Python, Java, JavaScript, C#, .NET, or Go. Strong understanding of LLMs, AI agents, autonomous workflows, RAG architectures, tool-calling systems, and agent orchestration. Experience assessing the security implications of agent runtime environments, sandboxing, tool permissions, and autonomous execution. Ability to assess and prioritize risks involving AI models, prompts, datasets, agents, and AI-enabled applications. Strong understanding of AI/ML attack vectors, including: Prompt injection Data and model poisoning Model extraction and inversion Adversarial inputs and examples AI/ML supply-chain vulnerabilities Excessive agent permissions and unsafe tool usage Sensitive-data exposure Familiarity with industry guidance such as the OWASP security frameworks for LLM and machine-learning applications. Experience with model vulnerability scanning, model security assessment, or similar AI security tooling. Understanding of common ML model and serialization formats such as Pickle, TensorFlow formats, and SafeTensors. Familiarity with both structured and unstructured data environments, including SQL databases, data warehouses, object storage, and NoSQL platforms. Understanding of cloud, container, microservices, and application security principles. Excellent analytical and problem-solving skills. Technical Environment Experience with several of the following technologies would be valuable: AI/ML & Data MLflow Kubeflow SageMaker Databricks RAG architectures LLM and agent frameworks Development Python Java C# / .NET JavaScript Go REST APIs Microservices DevSecOps / CI/CD Git Bitbucket Jenkins Artifactory Nexus SonarQube Snyk Jira Automated security scanning Preferred Background Previous experience as a software engineer or software architect before moving into security. Experience implementing model-scanning capabilities across an enterprise ML development environment. Experience defining security architecture for GenAI or agentic AI platforms. Familiarity with AI Security Posture Management concepts and tooling. Strong knowledge of secure design patterns for cloud-native and containerized applications. Experience working within Agile engineering organizations. Experience communicating emerging technical risks to engineering leadership and non-security stakeholders. Education & Certifications • Bachelor's degree in Computer Science, Cybersecurity, Computer Engineering, Information Systems, or a related technical discipline, or equivalent professional experience., • Security certifications such as CISSP, CSSLP, CEH, GCIA, GPEN, or GWAPT are beneficial but not required.

The impact of the role: \n \n The role combines strategic leadership, organizational influence, technical expertise, and operational execution. The Executive Director leads a team of automation engineers responsible for developing, maintaining, and evolving automation capabilities utilizing technologies such as Ansible, Terraform, Infrastructure-as-Code (IaC) frameworks, cloud-native automation services, and CI/CD pipelines. \n \n Success in this role requires more than building automation solutions. The Executive Director must drive cultural adoption, establish engineering standards, define reusable patterns, and ensure automation becomes the preferred mechanism for infrastructure delivery and operations across all Service Owner organizations. \n \n Operating at the intersection of Cloud Engineering, Platform Engineering, Infrastructure Operations, and DevSecOps, this leader accelerates cloud adoption by reducing manual effort, increasing consistency, improving reliability, and enabling self-service infrastructure capabilities. \n \n Key Responsibilities: \n Enterprise Automation Strategy \n\n • Define and execute the enterprise strategy for infrastructure automation.\n, • Establish a multi-year roadmap for automation capabilities that supports cloud transformation, operational excellence, and engineering productivity objectives.\n, • Identify opportunities to eliminate manual processes, standardize infrastructure delivery patterns, and increase automation adoption across the organization.\n, • Partner with Infrastructure, Cloud, Security, Architecture, and Engineering leaders to align automation investments with enterprise technology priorities.\n, • Evaluate emerging automation technologies, AI-assisted automation capabilities, and platform engineering trends to improve organizational effectiveness.\n\n \n Automation Adoption & Advocacy \n\n • Serve as the primary evangelist for infrastructure automation across all Service Owner teams.\n, • Drive organizational understanding of automation as a strategic capability rather than a collection of technical tools.\n, • Partner with Service Owners to identify automation opportunities and help prioritize adoption roadmaps.\n, • Establish governance, standards, and best practices that promote consistency without inhibiting innovation.\n, • Define and track automation adoption metrics, value realization, engineering productivity improvements, and operational efficiency gains.\n\n \n Infrastructure-as-Code & Cloud Enablement \n\n • Establish Infrastructure-as-Code as the standard approach for infrastructure deployment and lifecycle management.\n, • Drive adoption of Terraform, cloud-native provisioning frameworks, policy-as-code, and reusable infrastructure modules.\n, • Work closely with cloud platform teams to accelerate migration and modernization initiatives through automation.\n, • Ensure infrastructure delivery processes support scalability, resilience, security, auditability, and regulatory requirements.\n, • Develop automation frameworks that enable both centralized platform capabilities and decentralized consumption models.\n\n \n Automation Engineering Leadership \n\n • Lead a high-performing team of automation engineers, developers, and platform specialists.\n, • Oversee the development of reusable automation services, libraries, workflows, blueprints, and self-service capabilities.\n, • Ensure automation assets are maintained as enterprise products with appropriate lifecycle management, support models, and quality standards.\n, • Establish engineering disciplines around source control, testing, code reviews, release management, and operational support.\n, • Drive continuous improvement of automation tooling and development practices.\n\n \n CI/CD & Automation Pipeline Governance \n\n • Establish and govern CI/CD practices supporting Infrastructure-as-Code and automation development.\n, • Ensure automation code follows the same engineering rigor applied to application development.\n, • Define standards for:\n, • Source control management\n, • Automated testing\n, • Security scanning\n, • Code promotion\n, • Deployment pipelines\n, • Change management integration\n, • Compliance validation\n, • Embed automated quality controls that reduce operational risk while increasing deployment velocity.\n\n \n Automation Across the Infrastructure Lifecycle \n\n • Define and communicate clear automation patterns across distinct infrastructure use cases, including:\n, • Resource Provisioning Automation\n, • Infrastructure Management Automation\n, • Ensure teams understand the differing objectives, controls, and operational models associated with provisioning automation versus management automation.\n\n \n Platform Engineering & Self-Service Enablement \n\n • Partner with platform engineering teams to expand self-service capabilities for infrastructure consumers.\n, • Drive creation of reusable automation products that simplify service consumption while maintaining governance standards.\n, • Promote engineering patterns that reduce delivery friction and improve developer and infrastructure team experiences.\n, • Support the evolution toward platform-centric operating models that increase consistency, speed, and reliability.\n\n \n Pay and Benefits: \n\n • Competitive compensation, including base pay and annual incentive\n, • Comprehensive health and life insurance and well-being benefits, based on location\n, • Pension / Retirement benefits\n, • Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.\n, • DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).\n\n \n Qualifications: \n\n • Minimum of 15 years of related experience\n, • Bachelor's degree preferred or equivalent experience\n, • 12+ years of experience in infrastructure engineering, cloud engineering, platform engineering, automation engineering, DevSecOps, or related disciplines.\n, • Significant experience leading enterprise-scale automation initiatives.\n, • Experience managing engineering teams responsible for Infrastructure-as-Code and automation development.\n, • Proven success driving technology transformation through influence across large matrix organizations.\n, • Deep understanding of cloud operating models, infrastructure services, and engineering platforms.\n, • Strong knowledge of Terraform, Ansible, CI/CD platforms, source control systems, and automation frameworks.\n, • Experience building reusable platforms, services, and engineering capabilities that operate at enterprise scale.\n, • Demonstrated ability to communicate technical concepts effectively to both executive and engineering audiences.\n\n \n Talents Needed for Success: \n\n • Executive Influence\n, • Organizational Change Leadership\n, • Strategic Thinking\n, • Engineering Excellence\n, • Customer Focus\n, • Talent Development\n, • Cross-Functional Collaboration\n\n \n The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Clinical R&D Technology Architecture Manager Position Overview We are seeking a Clinical R&D Technology Architecture Manager to design and support secure, scalable, and compliant technology solutions for clinical research, data management, statistical computing, and scientific analytics. This role partners with Clinical Operations, Biostatistics, Data Science, Translational Medicine, and IT teams to translate business requirements into effective technology solutions. Responsibilities include solution architecture, cloud infrastructure, platform lifecycle management, vendor coordination, system validation, and regulatory compliance. Key Responsibilities • Design and maintain technology architecture solutions, standards, and roadmaps supporting Clinical R&D platforms., • Lead technical planning for platform implementations, upgrades, integrations, migrations, and modernization initiatives., • Support cloud, hybrid, and on-premises infrastructure, partnering with cybersecurity and infrastructure teams on security, performance, and resilience., • Support clinical data platforms, statistical computing environments, analytics solutions, and AI/ML initiatives., • Ensure compliance with applicable GxP/GCP, computer system validation (CSV), data integrity, privacy, and cybersecurity requirements., • Coordinate vendors and managed service providers, reviewing technical designs, deliverables, service quality, and compliance., • Identify and mitigate technical and operational risks while supporting system reliability and business continuity., • Collaborate with business and IT stakeholders to communicate technical recommendations, manage project dependencies, and support technology roadmaps. Required Qualifications • Bachelor's degree in Computer Science, Information Technology, Engineering, Life Sciences, or a related field., • Minimum of five years of relevant experience in solution architecture, platform architecture, enterprise applications, or clinical/scientific computing., • Experience designing cloud-based, hybrid, and integrated enterprise solutions., • Knowledge of clinical research processes, statistical computing, and regulated technology environments., • Experience with GxP/GCP, system validation, data integrity, privacy, cybersecurity, and audit readiness., • Strong project coordination, vendor management, analytical, communication, and problem-solving skills. Preferred Qualifications • Advanced degree in a relevant technical, scientific, or business discipline., • Experience with AWS, clinical data platforms, SAS/SAS Viya, statistical computing, data engineering, AI/ML, or analytics technologies., • Experience with cloud transformation, application modernization, platform migrations, or enterprise architecture initiatives., • Familiarity with Agile, DevSecOps, and IT service management practices., • Background in pharmaceutical, biotechnology, or life sciences environments supporting Clinical R&D.

Senior Software Engineer Hybrid - Newark, NJ | Right to Hire About the Role • Join a major financial firm building technology that supports its enterprise AI governance ecosystem, • Design, develop, and maintain scalable solutions for the AI Product Inventory, workflow automation, control validation, platform integrations, cloud-native capabilities, and data management, • Work with Product Owners, Data Engineers, Platform Engineers, Risk, Compliance, and Responsible AI stakeholders, • Combine hands-on development with technical leadership and solution design Position Details • Title: Senior Software Engineer, • Location: Hybrid - Newark, NJ, • Type: Right to Hire (Contract to Hire) Pay • $55-65/hr on W2, • No C2C Key Responsibilities Platform Development and Engineering • Design, develop, and maintain scalable software supporting Responsible AI governance processes, • Build and enhance capabilities within the Responsible AI platform and related governance platforms, • Develop reusable services, APIs, microservices, and integration frameworks, • Build secure, performant, and resilient applications using modern engineering practices, • Develop and deploy cloud-based solutions using AWS services and cloud-native architecture Systems Integration • Integrate governance platforms with AWS, CMDB, ServiceNow, IAM solutions, data repositories, and reporting platforms, • Develop RESTful APIs and event-driven integrations, • Automate data exchanges and artifact collection across platforms, • Build AWS integrations using API Gateway, Lambda, S3, and event-driven services Automation and Workflow Management • Design and implement workflow automation for AI intake, review, approval, monitoring, and control processes, • Improve operational efficiency through automation and orchestration, • Support governance control gates and evidence collection processes, • Develop workflow solutions using BPMN/Camunda and Groovy scripting Data and Solution Quality • Implement validation, reconciliation, and quality controls for AI inventory and governance data, • Develop monitoring and observability solutions, including Amazon CloudWatch, • Support reporting, analytics, and dashboard capabilities Technical Leadership • Provide technical guidance to engineers and developers, • Participate in architecture reviews and technology selection, • Promote engineering best practices, secure coding standards, and DevSecOps principles, • Contribute to technical roadmaps and platform strategy Collaboration and Governance • Partner with Product Owners and business stakeholders to define requirements, • Collaborate with Responsible AI, Risk, Compliance, Legal, and Technology teams, • Produce and maintain technical documentation, architecture diagrams, runbooks, and support materials Required Qualifications • Bachelor’s degree in Computer Science, Software Engineering, IT, or related field (equivalent experience considered), • 5+ years of software engineering experience, • Experience developing enterprise applications and integrations, • Experience in Agile delivery environments, • Experience supporting cloud-based solutions and distributed systems, • Hands-on experience developing, deploying, or supporting applications in AWS Technical Skills • Languages: Python, JavaScript/TypeScript, SQL, • Frameworks: Node.js, React, • Architecture: Microservices

Akkodis is seeking DevSecOps Engineer for a Contract job with a client in Charlotte, NC/Jersey City, NJ/Chandler, AZ - Hybrid (3 days on site in a Week). Ideally looking for applicants with a solid background in the financial services industry. Pay: $68-70/hour – All Inclusive; The rate may be negotiable based on experience, education, geographic location, and other factors. Key Responsibilities Design Implementation: Design, develop, and integrate solutions to gather security control evidence across multiple cloud platforms (e.g., AWS or Azure) to ensure the security and compliance of cloud infrastructure and workloads. Controls Evidencing and Enforcement: Identify security controls applicable to CI/CD pipelines and runtime environments to prevent misconfigurations and enforce security best practices and standards. Software Engineering Delivery: Develop and deliver software solutions that meet functional, non-functional, and regulatory compliance requirements; write, test, debug, and maintain code primarily using Java and/or Python and related technologies. Vulnerability management: hands-on experience with SCA, SAST, DAST vulnerability identification and remediation. CI/CD DevSecOps: Engage in continuous integration and deployment activities including automating build, test, and release pipelines; integrate security best practices into CI/CD processes and operational workflows. Quality Reliability: Troubleshoot defects, perform root-cause analysis, ensure software quality through unit, integration, and regression testing; contribute to code reviews. Collaboration: Work closely with cross-functional teams to refine requirements and deliver secure, maintainable capabilities. Compliance Governance: Demonstrate cloud environments comply with internal control requirements and regulatory obligations using robust reporting and dashboards. Cloud: Hands-on experience with AWS or Azure and software development life cycles (SDLCs). Deep knowledge of cloud platforms (AWS, Azure) and experience building and operating cloud-native services and business critical workloads. Programming: Strong hands-on experience with Python, Java, or other object-oriented programming (OOP) languages; ability to write clean, testable, maintainable code. DevSecOps / CI/CD: Strong understanding of DevSecOps principles; hands-on experience with CI/CD pipelines and related tooling and automating build/test/release workflows. Infrastructure as Code (IaC): Hands-on experience with Terraform, or CloudFormation Containers: Experience with Docker and orchestration tools such as Kubernetes. Databases: Solid knowledge of relational databases (Oracle, MySQL, PostgreSQL) and NoSQL; ability to write complex SQL queries and perform thorough data validations. APIs Systems Integration: Experience building and integrating with REST APIs and system interfaces, with emphasis on maintainability, availability, reliability, performance, and security. Preferred Technical Skills Cybersecurity: Significant experience in cybersecurity across multiple domains, with a strong focus on cloud security and integrating controls as code. Experienced in secure coding practices, authentication protocols, cryptography basics, identity and access management, and familiarity with security testing and vulnerability assessment. AI/ML: hands-on experience with agent-first development. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, please contact Aditya Singh at aditya.singh@akkodisgroup.com Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit _. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance

As a Lead Machine Learning Engineer, you will be leading the engineering of agentic AI systems and partnering with Data Scientists, Data Engineers, Data Analysts, DevSecOps, and other professionals helping to implement traditional models and agentic AI systems to deliver stability, producibility, sc

Machine Learning and Deep Learning:. As a Sr Machine Learning Engineer, you will be independently engineering Agentic AI Systems, and partner with Data Scientists, Data Engineers, Data Analysts, DevSecOps and other professionals helping to implement traditional models and agentic AI systems to deliv

HashiCorp Vault (Administration & Implementation).Terraform (Infrastructure as Code).Secrets Management & Credential Rotation.PKI, Certificate & Key Management.IAM (LDAP, Active Directory, SAML, OIDC, OAuth).Cloud Security (AWS/Azure/GCP).Linux & Scripting (Shell/Python).DevSecOps &a

DevSecOps Engineering Lead Cloud Infrastructure, Security & Platform Reliability About 21X 21X is building the next generation of conversational AI. Our platform powers intelligent AI agents that communicate with customers through voice, SMS, RCS, email, and web—helping businesses automate conversations, execute workflows, and deliver exceptional customer experiences at scale. About the Role 21X is hiring a hands-on DevSecOps Engineering Lead to own and scale the cloud infrastructure, security, deployment automation, and production reliability of our conversational AI platform. This is a highly technical, implementation-intensive role. You’ll be responsible for designing infrastructure, writing automation, securing our environments, improving deployment pipelines, and ensuring our systems operate reliably at enterprise scale. You’ll work across our core backend services, real-time voice infrastructure, and customer-facing applications, supporting both containerized and serverless environments on AWS. Your strongest expertise should be in AWS, Terraform, Kubernetes, CI/CD, and cloud security—with the ability to independently design, implement, and operate production infrastructure. What You’ll Own You’ll take ownership of five interconnected areas: 1. AWS Cloud Infrastructure Design, build, and maintain the infrastructure supporting our conversational AI platform. Responsibilities include: • AWS account architecture, environment isolation, and networking, • Infrastructure provisioning and automation through Terraform, • IAM, workload identity, encryption, and secrets management, • Compute, storage, DNS, TLS, and load balancing, • Cloud resource optimization, capacity planning, and infrastructure scalability Technologies: AWS, Terraform, EKS, VPC, IAM, KMS, S3, Route 53, ACM, Secrets Manager. 1. CI/CD & Developer Infrastructure Build and maintain automated delivery systems that allow our engineering team to deploy software quickly, securely, and reliably. Responsibilities include: • CI/CD pipeline design and optimization, • Automated builds, testing, and deployment, • GitOps workflows and environment promotion, • Container image management and artifact security, • Self-hosted runners, build infrastructure, and release automation, • Deployment validation, rollback, and recovery Technologies: GitHub Actions, CircleCI, Docker, ECR, Argo CD, Kustomize, Helm, Actions Runner Controller. 1. Core Backend Infrastructure Ensure our backend services remain reliable, scalable, and operationally efficient. Responsibilities include: • Containerized backend deployments and runtime management, • API and background worker infrastructure, • Database connectivity, caching, and configuration management, • Environment upgrades, monitoring, and production troubleshooting Technologies: Python, Flask, Celery, MongoDB, Redis, Docker, ECS. 1. Real-Time Voice & AI Infrastructure Own the infrastructure supporting our real-time conversational AI and telephony platform. Responsibilities include: • Low-latency infrastructure for live AI voice conversations, • Kubernetes workload deployment, isolation, and scaling, • WebSocket connectivity, networking, and load balancing, • High-availability architecture and provider connectivity, • Safe deployments that account for active voice sessions, • Database, connection and recording storage management, • Monitoring and troubleshooting latency, resource contention, and service failures Technologies: EKS, Kubernetes, AWS Load Balancing, Aurora PostgreSQL, ElastiCache Redis, S3, TypeScript, Node.js, NestJS, WebSockets. 1. Customer-Facing Application Delivery Manage the secure and reliable delivery of our customer-facing web applications. Responsibilities include: • Secure frontend build and deployment pipelines, • Serverless infrastructure and release automation, • Environment configuration and secrets management, • Backend connectivity and application monitoring Technologies: Next.js, React, TypeScript, SST/OpenNext, AWS Lambda, CircleCI, GraphQL. What You’ll Do • Own cloud infrastructure. Design, provision, and operate secure, scalable AWS environments using Terraform and infrastructure as code., • Lead DevSecOps engineering. Build security directly into infrastructure, application delivery, and operational processes., • Operate Kubernetes environments. Manage EKS clusters, networking, autoscaling, resource scheduling, upgrades, and production troubleshooting., • Automate software delivery. Build and improve CI/CD pipelines, GitOps workflows, testing gates, container builds, and deployment automation., • Strengthen cloud security. Implement least-privilege access, workload identity, network controls, encryption, secret rotation, and vulnerability management., • Partner on application security. Work with engineers to improve authentication, authorization, tenant isolation, API security, and protection of sensitive customer data., • Improve production reliability. Build meaningful observability, monitoring, alerting, and incident response processes., • Optimize real-time performance. Diagnose latency, WebSocket failures, scaling bottlenecks, and infrastructure issues affecting live AI conversations., • Own disaster recovery. Establish and test backup, restoration, failover, and recovery procedures for critical systems., • Drive engineering efficiency. Improve cloud cost visibility, deployment speed, resource utilization, and platform maintainability., • Provide technical leadership. Review infrastructure changes, mentor engineers, document architectural decisions, and establish strong operational practices. Required Skills & Experience AWS & Infrastructure as Code • Extensive experience designing, building, and operating production AWS environments., • Advanced Terraform and HCL proficiency, including reusable modules, state management, imports, and safe infrastructure changes., • Strong knowledge of IAM, VPC networking, DNS, TLS, load balancing, encryption, and AWS security services. Kubernetes & Container Infrastructure • Strong production experience with Kubernetes, Amazon EKS, and Docker., • Experience managing cluster networking, upgrades, autoscaling, workloads, resource allocation, and storage., • Familiarity with Helm, Kustomize, Argo CD, or similar deployment tools., • Experience supporting containerized applications in distributed production environments. DevSecOps & Security Engineering • Demonstrated experience securing cloud infrastructure and software delivery pipelines., • Strong understanding of least-privilege IAM, Kubernetes RBAC, workload identity, secrets management, and network segmentation., • Experience implementing vulnerability scanning, dependency security, container security, and infrastructure security controls., • Knowledge of software supply-chain security, credential management, and secure deployment practices. CI/CD & Automation • Experience building and maintaining complex CI/CD pipelines using GitHub Actions, CircleCI, or comparable platforms., • Understanding of GitOps, container registries, reproducible builds, and automated release management., • Strong proficiency in Python and Bash for infrastructure automation and operational tooling., • Working proficiency with TypeScript/JavaScript., • Confidence working with HCL, YAML, JSON, and Dockerfiles. Linux, Networking & Reliability • Strong Linux administration and troubleshooting skills., • Deep understanding of DNS, TLS, HTTP, WebSockets, routing, and network connectivity., • Experience diagnosing performance issues across distributed systems., • Familiarity with PostgreSQL, Redis, MongoDB, and managed AWS database services., • Experience with monitoring, logging, incident response, and disaster recovery., • Ability to define service-level objectives and improve system reliability through measurable outcomes. Technical Leadership • Proven ability to independently own production infrastructure and deliver substantial technical improvements., • Experience leading incident investigations and implementing long-term corrective actions. Especially Valuable Experience Kubernetes & Cloud Infrastructure • Argo CD ApplicationSets, Karpenter, KEDA, Helm, and Kustomize., • AWS VPC CNI, Cilium/Hubble, ExternalDNS, and cert-manager., • AWS Load Balancer Controller, Global Accelerator, and EBS CSI. Cloud Security & Identity • GitHub OIDC federation., • EKS Pod Identity and IAM Roles for Service Accounts (IRSA)., • External Secrets Operator., • Cloud-native security scanning and vulnerability remediation., • Secure software supply chains and container image provenance. Developer Infrastructure • GitHub Actions Runner Controller and ephemeral runners., • Multi-architecture ARM64/Graviton container builds., • Container registry optimization and automated release workflows. Application & Data Operations • SST/OpenNext, AWS Lambda, and ECS., • Aurora PostgreSQL, ElastiCache Redis, and MongoDB., • Database migrations, connection pooling, backup restoration, and failover testing., • Python and Node.js runtime upgrades. Observability & Real-Time Systems • CloudWatch, Container Insights, Fluent Bit, and distributed tracing., • Real-time voice, telephony, streaming media, or other latency-sensitive systems., • Long-lived WebSocket connections and workload scaling., • High-availability systems with external provider dependencies. What Success Looks Like • Our AWS infrastructure is secure, reproducible, scalable, and managed through infrastructure as code., • Engineering teams can deploy software quickly and confidently through reliable, automated pipelines., • Infrastructure and application security are integrated into everyday engineering workflows., • Production services maintain high availability, predictable performance, and strong operational visibility., • Our real-time voice infrastructure supports increasing call volumes without compromising latency or reliability., • Security vulnerabilities are identified, prioritized, remediated, and verified., • Backup restoration, failover, and disaster recovery procedures are documented and tested., • Cloud infrastructure operates efficiently with strong cost visibility and resource management., • Engineers have the tooling, documentation, and processes needed to deploy and operate systems independently. IF THAT SOUNDS SOUNDS LIKE YOU, LET'S TALK!

Role: VP, Head of Responsible AI Location: New York, NY (Flexible - Hybrid) Summary of the role: As the Head of Responsible AI, you will lead the Responsible & Secure AI program for the enterprise. Reporting to the General Counsel (GC) and the Chief Information Officer (CIO), you will mature and institutionalize the function that ensures all AI initiatives are ethically sound, legally compliant, and architecturally resilient. In a data-centric operations environment, this role serves as the bridge between technical innovation and legal safeguard—enforcing a dual mandate: accelerating AI adoption while minimizing systemic risk. As part of your duties, you will be responsible for: 1. Strategic Leadership & Governance • Operationalize the Charter: Define the 3-year maturity roadmap for Responsible & Secure AI, aligning it with client commitments and global regulations., • Together with the GC and CIO, lead the AI Governance Committee to ensure a single, unified voice on AI approval and deployment., • AI System of Record: Establish and maintain the "Source of Truth" for all AI assets—consolidating model registries, lineage, and audit trails. 1. AI Security & Defense (The "Secure" Mandate) • Partner with the Information Security team on:, • Adversarial Resilience: Oversee AI red-teaming and stress testing to protect against prompt injection, model extraction, and data poisoning., • Secure AI Lifecycle: embed security into the LLMOps/DevSecOps pipeline, ensuring "Secure by Design" principles for agentic and autonomous systems., • Data Sovereignty: Ensure RAG (Retrieval-Augmented Generation) and fine-tuning workflows do not result in PII leakage or cross-contamination of client data., • Shadow AI Mitigation: Implement discovery and governance protocols to identify and secure unauthorized AI usage across business units. 1. Regulatory & Ethical Compliance • Global Regulatory Radar: Ensure compliance with the EU AI Act, NIST AI RMF, ISO 42001, and evolving state-level US laws (e.g., Colorado AI Act)., • Algorithmic Fairness: Mandate bias detection and mitigation protocols to ensure AI-driven business process decisions are equitable and transparent., • Human-in-the-Loop (HITL): Define and enforce the "Human-in-the-loop" requirements for high-stakes operational tasks to prevent autonomous "drift" or "hallucination" damage. 1. Client & Operations Enablement • Business Integration: Partner with Business Units to "RAI-enable" client workflows, ensuring that rapid automation does not bypass established risk guardrails., • Third-Party Oversight: Lead the vetting process for foundation model providers (OpenAI, Anthropic, etc.) and open-source AI libraries to ensure they meet our security and ethical benchmarks. 1. Enterprise AI Policy Implementation & Audits • Oversee adherence to Responsible AI policies through periodic audits, monitoring dashboards, and compliance reviews, • Ensure readiness for internal and external assessments, including client driven AI governance evaluations‑driven AI governance evaluations 1. Capability Building and Culture Development • Lead enterprise-wide evangelization, awareness and training sessions to build a culture of responsible AI use and risk-sensitive innovation, • Build and mentor a team comprising AI governance leads, risk specialists, AI ethicists, and security experts Qualifications and experience we consider to be essential for the role: • Experience: 12+ years of total professional experience in technical, legal, or risk leadership, with at least 5+ years of dedicated experience in AI/ML governance, security, or ethics., • The "Hybrid" Expert: You must be able to discuss Transformer architectures and vector databases with engineers, and liability/indemnification with the Legal team., • Regulatory Fluency: Deep familiarity with NIST AI RMF, ISO 42001, and the EU AI Act., • Operational Depth: Proven experience in building a "Governance-as-a-Service" model in a global, highly regulated, or client-servicing enterprise, • Education: Bachelors in CS, Data Science, or Law/Ethics with a technical focus., • A law degree is a plus but not required, • Industry certifications in AI ethics, security, governance, risk, or compliance desirable Skills and Personal attributes we would like to have: Behavioral Skills • Diplomacy: Combines accountability and urgency with the political acumen required to navigate the dual CIO/GC reporting line. Expert at balancing the business need for "Speed to Market" with the ethical mandate of "Safe to Market" through data-grounded decision-making and cross-boundary collaboration Functional Skills • Regulatory Mastery & Trust Sales: Expert knowledge of global frameworks (NIST AI RMF, ISO 42001, EU AI Act) paired with the ability to lead technical "Trust Audits." Technical Skills • Proficient in LLMOps and privacy-by-design, with specific hands-on expertise in defending against prompt injection, model inversion, and data poisoning, as well as applying confidential computing principles, • Agentic & Autonomous Governance: Mastery of GenAI/LLM risk frameworks and guardrail tools (e.g., NeMo, LlamaGuard). Specifically skilled in the governance of "Agentic AI"—systems that take autonomous actions (e.g., API calls, transaction execution) on behalf of the company or client Process Specific Skills • AI Supply Chain Integrity: Seamlessly integrates AI/ML validation into MLOps and DevSecOps workflows. Leads the creation and management of the "AI Bill of Materials" (AI/BOM), ensuring full transparency and audit-readiness for every dataset, weight, and third-party library in the production pipeline Key Performance Indicators: • Framework Adoption: % of internal and client-facing models fully compliant with the NIST-aligned "Safe AI" framework., • Risk Mitigation: Zero "High" or "Critical" ethics/security incidents resulting from unvetted AI deployments., • Audit Readiness: Successful completion of third-party AI audits and certifications (e.g., ISO/IEC 42001)., • Client Confidence: Qualitative "Trust Score" improvements in client surveys and successful closure of AI-dependent contracts.

/ no recruiters; direct applications only / The Company Ironmist is building the compliance infrastructure for the defense software. Our mission: replace broken, manual authorization processes with a platform that embeds security and compliance directly into how software is built - so defense companies and government teams can ship secure-by-design software to the warfighter faster, at the speed of relevance. We are a lean, venture-backed team of builders on a mission. About the Role We are looking for a highly capable and experienced Software Engineer with strong DevOps/DevSecOps, Infrastructure-as-Code and software engineering experience to join our lean, fast-moving defense technology company. This is not a traditional DevOps role where you will only maintain CI/CD pipelines or cloud infrastructure. You will have significant ownership of the environments that run our platform while also contributing directly to the application itself. Because we are a small startup, we need engineers who are comfortable working across boundaries. On any given week, you may be deploying cloud infrastructure, troubleshooting a production environment, improving a CI/CD pipeline, implementing security controls, or building a new product feature with the assistance of modern AI development tools. We move quickly, operate with a high degree of autonomy, and expect senior engineers to identify problems, develop solutions, and drive work through completion without requiring extensive direction. What You'll Do • Design, deploy, and maintain secure cloud infrastructure using Infrastructure as Code (IaC)., • Build and maintain infrastructure supporting development, testing, and production environments., • Develop and improve CI/CD pipelines and automated deployment processes., • Implement DevSecOps practices throughout the software development lifecycle., • Troubleshoot infrastructure, application, networking, container, and deployment issues across the stack., • Help design infrastructure and application architectures suitable for highly regulated and security-sensitive environments., • Automate repetitive operational and engineering processes., • Implement security controls, logging, monitoring, secrets management, and configuration management., • Review infrastructure and application changes for security, reliability, and maintainability., • Contribute directly to application development, including implementing new features and resolving defects., • Use AI-assisted development tools effectively to accelerate software development while maintaining engineering quality and appropriate review., • Evaluate new technologies and determine when they are appropriate for our architecture., • Take ownership of technical problems from initial investigation through production deployment., • Work closely with company leadership and other engineers to rapidly translate customer and mission needs into working software. What We're Looking For • Significant professional software engineering experience, including experience operating production systems., • Strong experience with Infrastructure as Code, such as Terraform, Pulumi, CloudFormation, or similar technologies., • Strong experience designing, deploying, and maintaining cloud infrastructure., • Experience with AWS and common cloud services including networking, IAM, compute, containers, databases, storage, logging, and secrets management., • Experience with containerized workloads using technologies such as Docker, ECS, or Kubernetes/EKS., • Strong understanding of CI/CD systems and automated software delivery., • Experience implementing secure development and DevSecOps practices., • Strong understanding of cloud security concepts including IAM, least privilege, network segmentation, encryption, secrets management, and audit logging., • Ability to troubleshoot complex systems across application and infrastructure boundaries., • Ability to read, understand, modify, and develop production application code., • Experience using AI-assisted software development tools and the judgment to validate, test, and improve AI-generated code rather than relying on it blindly., • Strong Git and code-review practices., • Ability to independently research unfamiliar technologies and quickly become productive., • Strong written and verbal communication skills. The Engineer Who Will Succeed Here Our environment is best suited for someone who is: • Self-directed. You do not need a detailed task list to make progress. You can take a problem, determine what needs to happen, and execute., • Hands-on. This is an engineering role. It means solving difficult technical problems, not coordinating the people who solve them., • Comfortable with ambiguity. Requirements can evolve quickly in an early-stage company, and you should be comfortable making sound technical decisions with incomplete information., • Pragmatic. You understand the difference between building something correctly and over-engineering it., • Security-minded. Security is part of the architecture and development process, not something added after deployment., • Fast without being careless. We often work on short timelines, but reliability, security, and maintainability still matter., • Curious. You are comfortable working outside your primary specialty when the problem requires it., • Accountable. When you own something, you follow it through deployment, validation, and resolution. Nice-to-Have Experience in one or more of the following areas would be particularly valuable: • AWS GovCloud, • Terraform and/or Pulumi, • Kubernetes / Amazon EKS, • Amazon ECS, • GitHub Actions, • FedRAMP, • NIST 800-53, • CMMC, • Department of Defense environments, • Zero Trust architectures, • Security automation or compliance-as-code, • AI/ML platforms such as Amazon Bedrock, • SaaS platforms deployed in both cloud-hosted and customer-managed environments, • Experience supporting government or defense customers Previous defense industry experience is helpful but is not required if you are comfortable learning the regulatory and security requirements associated with the environment. Security Requirements • U.S. citizenship is required., • Candidates must be eligible to obtain and maintain a U.S. Government security clearance., • Any additional program-specific access requirements will be discussed during the hiring process. Why Join Us You will join a lean product-first company where your work will have an immediate impact on both the product and the company. You will have the opportunity to influence architecture, infrastructure, security practices, development processes, and product capabilities rather than owning only one narrow portion of the technology stack. We are looking for someone who enjoys building, solving difficult problems, and moving quickly in an environment where strong engineers are trusted with meaningful ownership.

Description Remote Our client seeks a Sr Platform Engineer I to join the Platform Engineering and DevOps organization. The role will implement and contribute to the design and evolution of capabilities that enable secure, scalable, and efficient public cloud adoption and software delivery. The position supports platform engineering practices, developer self-service, and continuous improvement of cloud reliability, automation, and engineering standards to accelerate business outcomes through the simplification of software product delivery. Remote Worker Guidelines: This position will be trained remotely and must be able to work from home in a designated work area with company-provided technology equipment. This position requires a reliable internet connection with a consistent 50 down/10 up Mbps minimum speed. 100 down/20 up is recommended to support higher quality video meetings. This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis. Salary: $138,000 - $143,000/ yr. w2 Responsibilities • Implement and contribute to the design of platform environments across cloud compute, storage, networking, and runtime layers leveraging Azure IaaS and PaaS., • Deploy and operate containerized platform-native runtime services., • Implement infrastructure provisioning using Infrastructure as Code., • Develop, maintain, and enhance reusable platform components and automation frameworks based on platform patterns and standards., • Implement security controls and policy enforcement per platform standards., • Implement identity, access, and secrets management patterns., • Enable compliance and governance through automated guardrails., • Implement monitoring and logging solutions and support observability., • Implement and support redundant, fault tolerant, and automated recovery mechanisms using zonal and multi-region patterns., • Monitor platform performance and contribute to cost optimization., • Enable consistent application deployment patterns and workflows., • Support, build, and enhance developer tooling and CI/CD platform capabilities., • Implement and maintain self-service templates and contribute to golden paths., • Contribute to abstraction layers and APIs for infrastructure and platform services., • Troubleshoot platform and infrastructure issues and perform root cause analysis., • Collaborate with team members and share knowledge., • Implement and support messaging, eventing, and API capabilities., • Enable event-driven and asynchronous communication patterns across systems., • Utilize and contribute to reusable integration patterns for application and platform services., • Perform other duties as assigned and comply with all policies and standards. Experience Requirements • 3 or more years in cloud platform engineering, software engineering, systems engineering, or DevOps with hands-on work across IaaS, PaaS, AI, and containers., • Experience designing and implementing Infrastructure as Code, CI/CD pipelines, and automated platform provisioning with proficiency in at least one scripting or programming language., • Experience contributing to DevOps or DevSecOps practices with cross-team collaboration., • Ability to troubleshoot complex systems and improve platform reliability., • Working knowledge of identity and access management and securing cloud platform resources., • Experience implementing or supporting observability including logging, monitoring, and performance diagnostics., • Preferred: exposure to cloud migration and modernization from on-premises., • Preferred: exposure to AI/ML platform services., • Preferred: experience with microservices architectures and asynchronous integration using queuing and messaging platforms., • Preferred: exposure to platform security and compliance controls, developer self-service, and cost optimization practices., • Preferred: experience with Microsoft Azure IaaS and PaaS offerings., • Strong background creating secure cloud architectures for Internet-facing applications., • Strong leadership, interpersonal, influencing, collaboration, and negotiation skills. Education Requirements • Bachelor’s Degree in Computer Science or Engineering, or equivalent experience. High School Diploma required if substituting equivalent experience., • Preferred: Microsoft Azure certifications such as Azure Administrator, Developer, Solutions Architect, DevOps Engineer, Azure AI Engineer Associate, or AI Fundamentals within 1.5 years.

Automation Engineer – Enterprise Infrastructure & IT Operations Webbon Group Inc. | Remote – United States | Contract Engagement U.S. Citizenship Required | Direct Applicants Only | No Staffing Agencies About Webbon Group Webbon Group Inc. is an IT consulting and professional services company specializing in enterprise technology solutions, infrastructure modernization, automation, and IT operations. We are seeking multiple experienced Automation Engineers to support enterprise infrastructure and IT operations environments. These hands-on engineering opportunities focus on identifying manual, repetitive operational activities and designing automation solutions that improve efficiency, reliability, and consistency. We are particularly interested in versatile technical professionals who understand enterprise infrastructure, enjoy solving problems, and can apply automation across multiple technologies and operational disciplines. These positions are fully remote, but candidates must be U.S. citizens, currently reside in the United States, and perform all work physically within the United States. Engagement Details • Engagement Type: Independent contractor (1099) or direct agreement with a consultant-owned business., • Work Arrangement: Remote – United States only., • Availability: Full-time contract commitment., • Citizenship: U.S. citizenship required., • Applications: Direct applicants only. No Third-Party Submissions Webbon Group works directly with independent consultants, including individuals operating through their own LLC or S-Corp. We do not accept submissions from staffing agencies, recruiting firms, candidate marketing companies, or third-party subcontracting intermediaries. The individual applying must personally perform the contracted services. What You'll Do Infrastructure & Operations Automation • Identify opportunities to automate repetitive tasks across Windows, Linux, storage, backup, and other enterprise infrastructure environments., • Work directly with infrastructure and operations teams to understand existing procedures, operational challenges, and automation opportunities., • Review ServiceNow tickets, operational runbooks, and recurring support activities to identify processes suitable for automation., • Develop reusable scripts, workflows, and automation solutions that reduce manual effort and improve operational consistency., • Automate activities such as system provisioning, patching, configuration management, maintenance, monitoring, and routine administrative tasks. Automation Development & Integration • Develop automation using technologies such as Ansible, Terraform, Python, PowerShell, Bash, or similar tools., • Integrate automation with enterprise systems through APIs, scripting, orchestration platforms, and other integration methods., • Build or enhance CI/CD workflows using GitLab, Jenkins, Azure DevOps, GitHub Actions, or comparable technologies., • Support Infrastructure as Code, configuration management, and automated deployment processes., • Explore opportunities to leverage enterprise orchestration platforms such as ReadyWorks to coordinate and simplify operational workflows. Security, Reliability & Continuous Improvement • Incorporate appropriate security controls, credential management, and change management practices into automation solutions., • Test and validate automated procedures to ensure reliability and production readiness., • Troubleshoot automation failures and continually improve existing workflows., • Document automation solutions and provide knowledge transfer to operational support teams., • Track automation effectiveness, operational improvements, and reductions in manual effort.Required Qualifications, • 5+ years of relevant experience in infrastructure engineering, systems administration, DevOps, automation engineering, or related technical disciplines., • Demonstrated hands-on experience developing and implementing automation in enterprise IT environments., • Strong scripting skills using at least one language such as Python, PowerShell, or Bash., • Practical experience with automation, orchestration, configuration management, or Infrastructure as Code tools., • Working knowledge of enterprise infrastructure technologies, including Windows and/or Linux systems., • Understanding of infrastructure operations, troubleshooting, and production support processes., • Experience integrating systems or automating workflows through scripts, APIs, or automation platforms., • Ability to identify opportunities for automation and translate operational requirements into working solutions., • Strong problem-solving skills and ability to work independently., • Effective communication and collaboration with infrastructure, operations, security, and engineering teams.Preferred Qualifications Experience with one or more of the following technologies or disciplines is highly desirable, but expertise across every area is not required: • Automation & Configuration Management: Ansible, Terraform, Puppet, Chef, or comparable platforms., • Scripting & Development: Python, PowerShell, Bash, REST APIs, and Git., • CI/CD & DevOps: GitLab CI/CD, Jenkins, Azure DevOps, GitHub Actions., • Infrastructure: Windows Server, Linux, virtualization, storage, backup, and enterprise monitoring., • Enterprise Orchestration: ReadyWorks or comparable enterprise automation and orchestration platforms., • IT Service Management: ServiceNow, automated ticket workflows, incident management, and operational reporting., • Security & DevSecOps: HashiCorp Vault, JFrog Artifactory, secrets management, and secure automation practices., • Cloud & Containers: Azure, AWS, Docker, Kubernetes, or cloud infrastructure automation.What Makes Someone Successful in This Role? We're looking for engineers who can do more than maintain existing automation. The ideal candidate can understand how an infrastructure team operates, recognize opportunities to eliminate repetitive work, and develop practical solutions using the right technologies for the situation. You don't need to be an expert in every product listed above. We're more interested in your ability to troubleshoot complex systems, write effective automation, learn new technologies, and deliver measurable operational improvements. Engineers with a strong background in Windows, Linux, infrastructure operations, scripting, DevOps, or platform engineering who have successfully introduced automation into their environments are encouraged to apply. Citizenship & Work Location Requirements • U.S. citizenship is mandatory., • Candidates must currently reside within the United States., • All services must be performed physically within the United States., • Direct applications only. No third-party candidate submissions or staffing vendors., • Certain engagements may involve access to export-controlled technology or equipment and additional customer security requirements.Interested? If you're an experienced infrastructure or automation engineer who enjoys solving problems, improving operations, and building solutions that eliminate repetitive work, we'd like to hear from you. Apply directly through LinkedIn to explore opportunities with Webbon Group Inc.

We’re looking for a Infrastructure & DevSecOps Engineer to help scale the backbone of our platform — securing and hardening data systems that handle fragmented, high-stakes datasets, and building the core of modern spectrum infrastructure.

DevSecOps strategies at an enterprise level.

Preferred certifications include TOGAF, AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect, SAFe Architect, or comparable cloud, DevSecOps, security, data architecture, and enterprise architecture credentials. Demonstra

🚀 We're Hiring | Senior Technical Delivery Manager – Data, Analytics & AI Company: Orion Innovation 📍 Location: Montvale, NJ – KPMG Client Office & Orion Innovation Office, NJ 🏢 Work Model: 100% Onsite (2 days/week at Orion Office; remaining days at KPMG) 💼 Experience: 15+ Years Orion Innovation is seeking an accomplished Senior Technical Delivery Manager to lead enterprise-scale Data, Analytics, Cloud, and AI initiatives. We are looking for a technically strong delivery leader who can manage 150+ globally distributed resources, drive enterprise architecture decisions, and remain actively involved in engineering and technology delivery. 🔹 Key Responsibilities ✅ Lead large-scale Data, Analytics, AI, and enterprise application programs. ✅ Manage global multidisciplinary teams across Data Engineering, Software Development, Cloud, DevOps, QA, Architecture, and AI. ✅ Drive enterprise implementations using Databricks and Microsoft Fabric. ✅ Collaborate with Enterprise Architecture Review Boards on scalable, secure solution designs. ✅ Establish CI/CD automation, DevSecOps standards, and blue-green deployment strategies. ✅ Lead enterprise data governance, platform modernization, and AI adoption initiatives. ✅ Manage program budgets, delivery governance, risks, resources, and executive stakeholder relationships. 🔹 Required Technical Expertise • Data Platforms: Databricks, Microsoft Fabric, Power BI, Delta Lake, Lakehouse Architecture, • Programming: Python, .NET, C#, React or Angular, • Cloud & DevOps: Azure DevOps, GitHub, CI/CD, Infrastructure as Code, Blue-Green Deployments, • AI: Artificial Intelligence, Generative AI, enterprise AI solutions, • Architecture: Enterprise Architecture, Architecture Review Boards, REST APIs, distributed systems, • Governance: Enterprise Data Strategy, Data Quality, Security, Compliance 🔹 Mandatory Qualifications ✔ 15+ years of overall technology experience. ✔ 8+ years leading complex enterprise technology programs. ✔ Proven experience managing 100+ globally distributed resources. ✔ Strong hands-on implementation experience with both Databricks and Microsoft Fabric. ✔ Strong enterprise architecture and technical delivery leadership. ✔ Hands-on Azure DevOps, GitHub, CI/CD, and deployment automation expertise. ✔ Excellent executive communication and stakeholder management skills. 🌟 Preferred: Microsoft Purview, Databricks Unity Catalog, Fabric OneLake, Azure cloud, MLOps, LLMOps, and Agentic AI. 📩 Interested candidates: Please share your updated resume at with the subject line Senior Technical Delivery Manager – NJ. Please mention your current location, availability, and experience managing large global engineering teams. #Hiring #OrionInnovation #TechnicalDeliveryManager #Databricks #MicrosoftFabric #DataEngineering #ArtificialIntelligence #GenerativeAI #AzureDevOps #EnterpriseArchitecture #DataAnalytics #TechnologyLeadership #NewJerseyJobs

Role:- DevSecops Security Engineer with Python. Work with Development, DevOps and Security teams to identify and develop automated security and compliance capabilities in support of DevSecOps processes.

Interested in being a Senior Cloud Security Engineer at a fast-moving crypto firm with offices in NYC, London, and Dubai? You'll join a small, senior Information Security team and take real ownership of a modern, cloud-native security environment. This is a great opportunity for someone who wants to sit at the intersection of cloud security, security engineering, DevSecOps, and incident response rather than being siloed into one area. You'll need to have experience in AWS, Wiz, and Gitlab. The environment is heavily AWS-focused, with technologies including Wiz, CrowdStrike Falcon, Deep Instinct, Microsoft Sentinel, Microsoft Purview, Zscaler, Island, Palo Alto Networks, GitLab, and Wiz Code. A big part of the role is engineering rather than simply operating tools. You’ll build and tune detections, automate security workflows, strengthen CI/CD controls, conduct threat hunting, review infrastructure and application changes, and help move security controls from advisory into meaningful enforcement without getting in the way of engineering teams. You’ll also have significant visibility across the broader security program. Reporting directly to the CISO, you’ll own a defined portfolio of security capabilities, serve as an escalation point, work directly with vendors, and have a voice in architecture and security decisions across the organization. Apply now! No up-to-date resume required.

Job Title: Senior Cloud Security Architect Location: Washington, DC / Remote. The successful candidate must demonstrate: • Deep expertise across primarily AWS and some Azure, networking, identity, security, and Infrastructure as Code, • A history of defining enterprise standards, reference architectures, roadmaps, and governance, • Strong infrastructure engineering credentials prior to moving into architecture, • Experience influencing engineering, security, platform, and executive stakeholders, • Success operating in large, complex, regulated environments, • Exceptional communication and executive presence Please submit only candidates you would confidently place in front of a CTO, Chief Architect, or Architecture Review Board. Quality is more important than quantity. I would rather review one exceptional candidate than ten marginal fits. Minimum Qualifications · Must possess at least 7 years of IT experience with broad knowledge and an understanding of IT areas such as: Architecture, Infrastructure setup, management, Operating Systems, Database, various types of Applications, Network, and Cloud implementations. · Must possess at least 5+ years of strong hands-on experience in Cloud infrastructure and applications · Strong understanding of cloud infrastructure components (server, storage, network, security, data, and applications) to deliver end to end AWS cloud Infrastructure solutions. · Design and implement secure cloud architectures aligned with security best practices. · Define cloud security standards, governance frameworks, and security guardrails. · Lead security architecture reviews for cloud infrastructure and applications. · Develop and maintain AWS landing zones, multi-account strategies, and security baselines. · Architect identity and access management solutions using AWS IAM, IAM Identity Center, and least-privilege principles. · Design and implement network security controls including VPC architecture, segmentation, private connectivity, WAF, and security groups. · Lead cloud threat modeling, risk assessments, and security reviews. · Drive cloud security automation using Infrastructure as Code (Terraform, CloudFormation). · Oversee vulnerability management, cloud posture management, and remediation efforts. · Mentor junior cloud security engineers and provide technical guidance. · Support regulatory compliance initiatives (NIST, CIS, ISO 27001, SOC 2, PCI, HIPAA as applicable). · Partner with development, infrastructure, and security operations teams to implement DevSecOps controls. · Deep expertise in AWS security services like IAM, Control Tower, Security Hub, Guard Duty, Config, CloudTrail, KMS, Secrets Manager etc.…, · Strong understanding of Zero Trust and cloud security architecture principles. · Experience designing secure multi-account AWS environments. · Expertise in cloud networking and security architecture. · Strong scripting and automation skills (Python, PowerShell, Bash). · Experience with Infrastructure as Code. · Knowledge of container (ECS) and Kubernetes security (EKS). · Experience integrating AWS/Azure security controls with SIEM platforms like Microsoft Sentinel. · Take ownership of issues, with a sense of urgency, and using sound judgement to resolve within service levels. · Ability to work independently as well as work well with others in an integrated team environment and must be self-motivated. · Must possess strong communication and interpersonal skills, work well with others in an integrated team environment, and must be self-motivated.

Conviso Inc is hiring Secret Cleared DevSecOps Engineer. This is a 100% Remote set-up position & comes with benefits, 401K & some accrued PTO. Role: DevSecOps Engineer Active Secret Clearance is needed Remote Role Certification : DoD 8570 IAT II (i.e. Security+) Responsibilities: • The management and execution of the ITSM queue supporting incidents, requests, and changes at a Tier 3 level with a 4-6 people operations team. Coordinate cross-functionally with teams including application teams, migration, observability, defense ops, and incident response., • Build automated GitLab CI/CD pipelines to deploy and test new versions for a host of supported tools and application base images., • Identify, scope, and implement infrastructure changes and automations though agile sprints that need to be made to increase platform stability., • Identify gaps in operations documentation and work with engineers on the team to build useful guides., • Implement new enhancements and automations to support best practice DevSecOps processes and cloud infrastructure. Qualifications: • A Security+ certification (can be taken while onboarding)., • Direct experience with GitLab CI/CD pipelines, Kubernetes, and pipeline automation, • An understanding of cloud infrastructure, container orchestration, and DevSecOps principles for development communities., • Familiarity with the ELK Stack or other comparable monitoring tools Preferred Qualifications: • Familiarity with CI/CD tools such as GitLab / GitLab Runners, Nexus, Cloud managed services, AI dev assist capabilities, and Rancher/RKE2., • Familiarity with ServiceNow and Jira., • Familiarity with other tools such as SonarQube, Fortify, TestRail, ArgoCD, and Renovate., • Ability to work effectively in a fast-paced, collaborative environment., • Cloud certifications form AWS, Azure, or OCI, • Basic scripting and automation skills. Compensation : $120,000 - $125,000/Year with Benefits

Required Technical Skills:Primary Skills: AWS Cloud Platform, AWS Bedrock, AWS Agent Core, AWS Launchpad FrameworkDevOps Platform Engineering, Terraform, CICD Pipeline Engineering, GitHub Actions, Jenkins, Infrastructure as Code IaC, DevSecOps. Lead Cloud DevOps Architect – AWS GenAI & BedrockLoca

DevSecOps / CI/CD: Strong understanding of DevSecOps principles;. Akkodis is seeking DevSecOps Engineer for a Contract job with a client in Charlotte, NC/Jersey City, NJ/Chandler, AZ - Hybrid (3 days on site in a Week). CI/CD DevSecOps: Engage in continuous integration and deployment activities incl

This role requires expertise in automation and security within CI/CD pipelines, along with strong communication and organizational skills.

Job-ID: 214918Category: Information TechnologyLocation: Jersey City, NJ, United StatesSchedule: Full timePosted: 2026-10-26Salary Range: Executive Director-160,000-275,000-USDFeatured Opportunities: NoFLSA Status: ExemptAre you ready to make an impact at DTCC?Do you want to work on innovative projec

Job-ID: 214965Category: Information TechnologyLocation: Jersey City, NJ, United StatesSchedule: Full timePosted: 2026-10-23Salary Range: Salary will be Commensurate with ExperienceFeatured Opportunities: NoFLSA Status: ExemptAre you ready to make an impact at DTCC?Do you want to work on innovative p

Job Description Job Title: Senior Project Manager – Vulnerability Remediation (Healthcare Domain) Location: Onsite Experience: 10–15+ years Employment Type: Contract Rate: 60-65$/Hr. Role Summary The Senior Project Manager will lead and manage large-scale vulnerability remediation programs across healthcare application portfolios and infrastructure systems. This role will ensure timely identification, prioritization, and remediation of Critical and High vulnerabilities aligned to regulatory and compliance requirements (HIPAA, HITECH, CMS, HITRUST). The candidate must have hands-on experience driving remediation activities for both application development (code, libraries, APIs, and platform vulnerabilities) and infrastructure (patching, server configuration, network, and cloud security issues). Key Responsibilities • Lead end-to-end program execution for vulnerability remediation related to applications, databases, servers, cloud environments, and legacy healthcare platforms., • Prioritize and track remediation of CVITs, VITs, vulnerabilities in code, patch deployments, and configuration fixes across technical teams., • Work with security, DevOps, application development, enterprise architecture, and infrastructure teams to systematically remediate scan findings., • Conduct backlog grooming, sprint planning, release coordination, and delivery tracking for remediation activities., • Analyze vulnerability scan reports and dashboards from tools such as Qualys, Tenable, Rapid7, CrowdStrike, Microsoft Defender, etc., • Develop remediation plans aligned to exposure of PHI/PII, severity, exploitability, and system criticality., • Prepare and present weekly status decks, risk registers, and executive scorecards for senior leadership and audit teams., • Oversee SOW deliverables, team onboarding, cross-shore coordination, and stakeholder alignment., • Ensure remediation governance, compliance documentation, and closure of cyber audit findings., • Develop and refine remediation SLAs, prioritization models, RAID logs, and approval workflows involving business, security, and IT stakeholders. Required Skills & Qualifications • 10+ years of IT project or program management experience, including 5+ years dedicated to security or vulnerability remediation., • Must have experience managing both application development and infrastructure-related vulnerabilities, including:, • Code vulnerabilities (OWASP, dependency issues, API weaknesses, encryption gaps), • Infrastructure vulnerabilities (OS patching, server hardening, cloud misconfigurations, IAM issues), • Deep understanding of healthcare systems and PHI security risks., • Strong knowledge of healthcare compliance frameworks such as HIPAA, HITECH, HITRUST, NIST CSF, CMS., • Experience working in distributed delivery models with offshore/onshore teams., • Proficient in Agile, Scrum, and hybrid methodologies., • Excellent communication, stakeholder influencing, and senior leadership reporting capabilities., • Familiarity with SQL, cloud platforms (Azure/AWS), CI/CD pipelines, and DevSecOps practices. Preferred Certifications • PMP, CSM, SAFe, • CompTIA Security+, CISSP, CISM, • HITRUST or healthcare security certifications (preferred) Healthcare Domain Experience (Preferred) • Payer systems (Medicaid, Medicare, Marketplace, Commercial), • Claims processing, provider data, enrollment, pharmacy, member access systems, • Legacy remediation involving .NET, Java, SAP, Oracle, Salesforce Health Cloud, and Data Hub environments Key Success Metrics • Reduction in Critical/High vulnerability backlog, • SLA compliance for remediation (30/60/90-day closure), • Audit remediation closure rate, • Legacy backlog risk reduction, • Operational readiness and stability for healthcare systems

Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for a Senior Technical Program Manager to lead global delivery of a security and vulnerability remediation program across distributed teams. The mandatory requirements are experience with vulnerability management lifecycles, cloud security, or security architecture, 5+ years managing multi-region enterprise IT programs, scaled Agile in regulated environments, Jira, and strong English communication skills. WHAT YOU WILL DO • 24x7 Delivery: Manage project timelines, dependencies, and Agile ceremonies across USA, EU, LatAm, and India pods to ensure seamless execution., • Milestone Tracking: Track the delivery of discrete milestones, from ASPM enablement to automated evidence attestation., • Expectation Management: Drive stakeholder expectations and align deliverables on rapid, short-horizon timelines (typically with 3-to-4-week cycles/expectations)., • Proactive Problem Solving: Identify, escalate, and troubleshoot technical program blockers, dependencies, and delivery bottlenecks., • Remediation Leadership: Take a strong, proactive lead on the remediation side of vulnerabilities and configuration gaps, collaborating with engineering teams to ensure timely resolutions., • Metrics & Visibility: Provide executive-level visibility into velocity, budget burn-down, and milestone completion., • Security Control Alignment: Maintain rigorous compliance on controls regarding security, ensuring governance frameworks are met within heavily regulated enterprise environments. MUST HAVES • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;, • Leadership & Communication: Strong communication & leadership skills are a baseline requirement. You must be capable of independently managing, coaching, and aligning cross-functional global teams without oversight., • Program Management: 5+ years of experience managing complex, multi-region enterprise IT programs., • Security & Compliance: A deep understanding of security architecture and SCPM (Security Controls Posture Management) controls., • Solid experience with Vulnerability Management Lifecycles, with strong expertise on the remediation side., • Cloud Architecture: Proven experience working in a cloud-agnostic environment (AWS, Azure, and Google Cloud Platform) with no specific platform preference., • Project Tooling: Jira proficiency., • Agile Expertise: Expert application of scaled Agile frameworks within heavily regulated corporate environments., • Upper-intermediate English level. NICE TO HAVES • Engineering Background: Ideally possesses a direct software or security engineering background, or a deep technical understanding of DevSecOps pipelines., • Jira Cloud: Hands-on experience with Jira Cloud is a huge plus. PERKS AND BENEFITS • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps., • Competitive compensation: USD-based pay with education, fitness, and team activity budgets., • Exciting projects: Modern solutions with Fortune 500 and top product companies., • Flextime: Flexible schedule with remote and office options.

You will partner with Regional Sales Managers and Partner Sales Managers to drive new customer acquisition and expansion, acting as a trusted technical advisor across DevSecOps, AI-assisted development, #J-18808-Ljbffr.