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Job Description Job Description Title: Quality Engineering/Test Automation Engineer Location: Vienna, VA Work schedule: hybrid, onsite 3 days a week Pay Rate: Open to Both W2 options and established 1099, no c2c Position Type: Contract LOCAL CANDIDATES ONLY This role is for a Quality Engineering/Test Automation professional with 5-10 years of experience who can design, develop, and maintain scalable automated testing solutions across web, mobile, API, CMS, and cloud-based applications. The position focuses heavily on test automation, CI/CD integration, accessibility testing, and AI-driven testing. The engineer will build automation frameworks, execute multiple types of testing, integrate testing into continuous delivery pipelines, and collaborate with engineering, product, and design teams to improve software quality. A particularly important aspect of the role is using AI-assisted testing to accelerate test creation, optimize regression testing, improve defect analysis, and generate better quality insights. This role requires a 5-10 year Quality Engineer/SDET/Test Automation professional with deep automation-framework experience, Azure DevOps/CI/CD expertise, strong accessibility testing knowledge, and broad web/mobile/API testing experience. Candidates must have experience applying AI to software testing, rather than simply having general AI knowledge. Primary Responsibilities Design and maintain automated testing frameworks and test suites. Integrate automated tests into CI/CD pipelines. Perform functional, regression, integration, accessibility, performance, and cross-browser testing. Test web, mobile, API, CMS, and enterprise applications. Apply AI-assisted testing for test generation, regression optimization, defect analysis, and reporting. Collaborate with engineering, product, and design teams. Continuously improve testing processes, tools, automation coverage, and quality practices. In this role, you will design, develop, and maintain automated testing solutions across web, mobile, API, CMS, and cloud-based platforms while partnering closely with engineering, product, and design system teams. This is an excellent opportunity for a quality engineering professional who is passionate about automation, accessibility, AI-driven testing innovation, and delivering exceptional digital experiences. The ideal candidate brings 5-10 years of experience in software quality engineering, test automation, and CI/CD practices, with a strong foundation in accessibility testing and modern engineering tools. You will play a key role in building scalable automation frameworks, improving testing processes, and integrating AI-enabled capabilities to accelerate test creation, optimize regression testing, enhance defect analysis, and improve overall quality outcomes. What You'll Do Design and maintain automated testing frameworks and test suites Integrate testing into CI/CD pipelines to support continuous delivery Execute functional, regression, integration, accessibility, performance, and cross-browser testing Collaborate with cross-functional teams to ensure high-quality releases Leverage AI-assisted testing capabilities to improve efficiency, coverage, and quality insights Drive continuous improvement of testing practices, tools, and processes What You'll Bring 5-10 years of experience in software testing, quality engineering, or test automation Strong experience with automated testing tools and frameworks Experience with Azure DevOps, Git-based repositories, CI/CD pipelines, and test management tools Knowledge of accessibility standards (WCAG, ADA, Section 508) and assistive technologies Experience testing web, mobile, API, and enterprise applications Experience incorporating AI into testing processes, including test generation, defect analysis, regression optimization, or automated reporting Strong analytical, troubleshooting, communication, and collaboration skills System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team. Skills Automation Playwright Java Automation Testing Playwright Java API Testing CI/CD Agile Test Framework Development Responsibilities Design, develop, and maintain scalable automation frameworks using Playwright with Java . Create, execute, and maintain automated test scripts for functional, regression, integration, and end-to-end testing of web applications. Collaborate with developers, product owners, business analysts, and QA teams to understand requirements and define comprehensive test strategies. Develop reusable automation components and utilities to improve testing efficiency and coverage. Integrate automated test suites into CI/CD pipelines and ensure seamless automated execution. Perform API testing and validation using industry-standard tools and frameworks. Review application requirements and technical specifications to identify test scenarios and automation opportunities. Analyze test results, identify defects, and work closely with development teams to drive issue resolution. Conduct code reviews and enforce automation best practices, coding standards, and quality processes. Monitor automation execution, generate test reports, and provide regular status updates to stakeholders. Mentor junior automation engineers and contribute to continuous improvement initiatives. Stay current with emerging automation technologies, testing trends, and industry best practices. Qualifications We Seek In You Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Strong hands-on experience in Java programming . Extensive experience in test automation using Playwright with Java . Experience in designing and developing automation frameworks from scratch. Strong understanding of software testing methodologies, test lifecycle, and quality assurance principles. Experience with API testing tools such as Postman, REST Assured, or similar. Familiarity with CI/CD tools such as Jenkins, Azure DevOps, GitHub Actions, or GitLab CI. Strong knowledge of version control systems such as Git. Experience working in Agile/Scrum environments. Excellent analytical, debugging, and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with cross-functional teams and stakeholders. Preferred Qualifications Experience with cloud-based testing platforms and modern DevOps practices. Hands-on experience with performance testing and test reporting tools. Knowledge of containerization technologies such as Docker and Kubernetes. Experience integrating automation suites with test management and defect tracking tools such as Jira and Confluence. ISTQB or other relevant testing certifications are a plus. Prior experience leading automation initiatives or mentoring QA teams. Exposure to AI-assisted testing tools and modern quality engineering practices. Ideal Candidate Profile The ideal candidate will have strong expertise in Playwright Automation with Java , proven experience building robust automation frameworks, excellent problem-solving abilities, and the capability to drive quality engineering practices across the software development lifecycle. Ampcus 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, protected veterans or individuals with disabilities.

Job Description Job Description This is NOT a remote position Job Description Eccalon is seeking a Senior SDET / QA Automation Engineer to build and own the automated testing strategy across our web applications and backend services supporting DoD, Intelligence, and enterprise programs. You will design and maintain robust test frameworks, integrate quality gates into CI/CD pipelines, and ensure the reliability of systems operating in regulated, compliance-driven environments. This is a hands-on senior role with broad visibility across the full engineering stack-working directly with software engineers, DevOps, and product teams to shift quality left and keep mission-critical software shipping with confidence. Responsibilities Test Automation & Framework Development Design, build, and maintain end-to-end UI automation frameworks using Playwright and/or Cypress across multiple web applications (e.g., lynxconnect.io, ). Develop and maintain API and backend test suites using Postman collections and REST Assured; validate authentication flows, data integrity, and service contracts. Write clean, maintainable test code in Python and/or JavaScript/TypeScript ; enforce consistent standards through code reviews and shared libraries. Build reusable test utilities, fixtures, and data factories that reduce test setup overhead and improve suite reliability. CI/CD Integration & Quality Gates Integrate automated test suites into CI/CD pipelines (GitLab CI/CD) to enforce quality gates on every pull request and deployment. Configure and maintain synthetic monitoring scripts (e.g., Playwright-based uptime checks) for production applications; triage and resolve false positives. Define and track test coverage metrics, pass rates, and flakiness trends; report quality signals to engineering leadership. API & Backend Testing Validate REST APIs against specifications; test authentication and authorization flows including OAuth2, SAML, OIDC, and JIT provisioning patterns. Develop data-driven test scenarios against AWS-hosted services (RDS/PostgreSQL, DynamoDB, Cognito) and Azure-backed platforms (GCC High). Collaborate with backend engineers to identify testability gaps in service design and recommend interface contracts that support automation. Cross-functional Collaboration & Quality Strategy Partner with DevOps, software engineering, and IT teams to embed testing earlier in the development lifecycle; contribute to definition-of-done criteria. Serve as the quality subject matter expert on the team-mentoring engineers on test best practices, automation patterns, and tooling selection. Maintain test documentation, test plans, and traceability matrices that satisfy compliance audit and ATO evidence requirements. Evaluate and recommend improvements to the overall QA toolchain and processes as applications and team scale. Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field-or equivalent practical experience. 5+ years of experience in software development engineering in test (SDET), QA automation, or a related discipline. Hands-on proficiency with Playwright and/or Cypress for end-to-end UI test automation. Strong API testing skills using Postman (including collections, environments, and Newman for CI execution) and/or REST Assured. Solid programming skills in JavaScript/TypeScript and/or Python; ability to write production-quality test code, not just record-and-replay scripts. Experience integrating test automation into CI/CD pipelines (GitLab CI/CD, or Jenkins). Familiarity with AWS services (Cognito, RDS, DynamoDB, CloudWatch) and how they factor into end-to-end test design. Experience testing authentication and authorization flows (OAuth2, SAML, OIDC, MFA). Strong understanding of HTTP, REST, JSON, and web application architecture. Ability to work independently, prioritize across multiple projects, and communicate quality risk clearly to technical and non-technical stakeholders. Preferred Qualifications Experience with synthetic monitoring and uptime automation (e.g., Playwright-based health checks, Pingdom scripting). Familiarity with NIST 800-171, CMMC, or FedRAMP testing and traceability requirements. Experience testing applications hosted on Azure GCC High or AWS GovCloud environments. Background in performance or load testing (k6, JMeter, or Locust). Experience with accessibility testing (WCAG 2.1, 508 compliance) and security-focused test cases (OWASP Top 10 validation). ISTQB certification or equivalent QA/testing credential.

AI Engineer 5 (GenAI Platform, Agentic Infrastructure) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details

Job Description West Suburban Chicago Hybrid, 3 days onsite Direct Hire A large, multi-site organization is hiring an Enterprise Infrastructure & Cloud Architect to set the technical direction for its infrastructure environment and then build it. This is not a diagram-and-hand-off role. You will own how infrastructure gets designed, provisioned, and operated, and you will be in the code when the work calls for it. The environment spans a national footprint of physical locations supporting a workforce in the tens of thousands, with an endpoint count to match. Operating at that scale brings problems that a 20-location environment never surfaces, and the person in this seat is expected to have seen those problems before. The organization has grown quickly and is partway through a multi-year assessment of its technology environment. You will come in at the ground level of that work, reporting to the Senior Manager of Infrastructure Platforms and collaborating with a team of eight, plus dozens of stakeholders across the business. What you'll do Own the architecture of the AWS environment across compute, networking, storage, and container platforms, and set the standards the rest of the organization builds against Build repeatable, version-controlled infrastructure in Terraform, replacing fragile manual setups with something the whole team can extend and trust Design and operate production Kubernetes, including cluster networking, scaling, and workload isolation Build and secure the CI/CD pipelines that move infrastructure and application deployments from commit to production Lead planning for the next generation of the network Standardize identity across the organization Develop the observability strategy and a modern virtual desktop strategy Make the calls on security, observability, and cost tradeoffs, with the authority to make them stick Take the cross-cutting problems that span networking, compute, identity, and deployment, where someone has to hold the whole picture Present recommendations to leadership and adjust the message for the audience in the room What we're looking for 7 or more years across infrastructure engineering, platform engineering, DevOps, or cloud architecture Architecture experience in an enterprise environment with several hundred physical locations, thousands of users, and a comparable endpoint footprint. This is the first thing we screen on Ownership that extended past cloud. We want someone who has personally architected across networking, identity, and security, not only AWS Deep, hands-on AWS experience architecting and operating real environments. Azure exposure is welcome as a complement, but AWS depth is required Strong Terraform, including module design and state management at scale Production Kubernetes, at the platform and operator level rather than as a consumer of someone else's clusters Experience designing and maintaining CI/CD pipelines, with security built into them A record of rolling out infrastructure change to thousands of users or endpoints with minimal business disruption Working knowledge of Zero Trust and broader infrastructure security architecture Roughly an even split between big-picture architecture and implementation. Both halves matter here The ability to hold a conversation from the C-suite down to the engineering team and be credible in both rooms A self-starter who can assess an unfamiliar environment quickly and make an early impact Ideal background Multi-location environments with real scale translate best here, whether that's retail, logistics, distribution, or a similar footprint. We are looking for people who have owned an environment day to day rather than advised on one, so hands-on backgrounds land better than pure consulting. If you have demonstrable, specific impact you can point to and explain in business terms, we want to hear about it. Interest in building reports and presentations for leadership is a plus. MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage or any other protected classification, in accordance with applicable federal, state, and local laws.

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description Job Title: Platform/DevOps Engineer We are seeking a highly skilled Platform/DevOps Engineer with a strong background in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). The ideal candidate will be responsible for designing, implementing, and maintaining scalable and efficient platforms that support AI/ML/DL applications. This role requires a deep understanding of DevOps practices and tools, as well as a passion for leveraging cutting edge technologies to drive innovation. Responsibilities: Design, implement, and manage CI/CD pipelines for AI/ML/DL applications. Collaborate with data scientists and software engineers to optimize model deployment and performance. Monitor and maintain platform health, ensuring high availability and reliability. Automate infrastructure provisioning and management using Infrastructure as Code (IaC) tools. Implement security best practices for AI/ML/DL environments. Conduct performance tuning and optimization of AI/ML/DL models in production. Stay updated with the latest trends and technologies in AI/ML/DL and DevOps. Provide technical support and troubleshooting for platform related issues. Mandatory Skills: Strong knowledge of AI, ML, and DL concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit learn). Proficiency in DevOps tools and practices (e.g., Docker, Kubernetes, Jenkins, Git). Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services. Solid understanding of scripting languages (e.g., Python, Bash). Experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation). Strong problem solving skills and ability to work in a fast paced environment. Preferred Skills: Experience with data engineering and ETL processes. Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Knowledge of container orchestration and microservices architecture. Experience with Agile methodologies and project management tools. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 5 7 years of experience in Platform/DevOps engineering with a focus on AI/ML/DL. Proven track record of successful project delivery in a contractor role. Excellent communication and collaboration skills. If you are a passionate Platform/DevOps Engineer with a strong AI/ML/DL background and are looking for an exciting opportunity to work remotely, we encourage you to apply.

Job Description Job Description Immediate need for a talented Application Support Engineer . This is a 12+months contract opportunity with long-term potential and is located in Spartanburg, SC (Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID:26-23195 Pay Range: $40 - $45/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Monitor and support production applications. Investigate and resolve application incidents and outages. Perform root cause analysis and implement preventive solutions. Work closely with development, infrastructure, and database teams. Support application deployments and production releases. Maintain system documentation and operational procedures. Key Requirements and Technology Experience: Must have skills: - Strong experience in Application Support/Production Support, Linux/Unix, Shell Scripting, Networking (TCP/IP, DNS, SSH), Infrastructure troubleshooting, and Oracle Database (SQL/PL/SQL preferred). 3+ years of experience in Application/Production Support. Strong experience with Linux/Unix environments. Proficiency in Shell Scripting (Bash/Korn) . Good understanding of networking concepts (TCP/IP, DNS, SSH, HTTP/HTTPS). Experience troubleshooting application and infrastructure issues. Working knowledge of Oracle Database , SQL, and PL/SQL is preferred. Experience with incident management, root cause analysis, and production issue resolution. Ability to work in a 24x7 production support environment when required. Excellent analytical, troubleshooting, and communication skills. ITIL knowledge. Experience with ServiceNow , Splunk, Control-M, or monitoring tools. Exposure to cloud platforms (AWS/Azure) is a plus. Willingness to learn Oracle-related technologies and expand technical expertise. Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Job Description Job Description SUMMARY We focus on delivering high-quality software swiftly and reliably. Our mission is to optimize deployment, ensuring efficient and confident feature updates for users. We maintain stable, secure, and scalable systems for growth. If you love automation, continuous delivery, and smooth operations, you'll excel here. ESSENTIAL DUTIES AND RESPONSIBILITIES Design, implement, and maintain CI/CD pipelines to support fast, safe, and repeatable deployments. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform or ARM templates. Manage and optimize cloud infrastructure on Microsoft Azure, ensuring high availability, performance, and security. Leverage Azure DevOps for version control, build/release pipelines, and project tracking. Monitor system performance and proactively address issues across development, staging, and production environments. Collaborate with engineering teams to improve deployment strategies, observability, and incident response. Track and improve DORA metrics: Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Recovery. Contribute to the implementation of security best practices across infrastructure and deployment workflows. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. KNOWLEDGE, SKILLS, and/or ABILITIES Required 5 years of experience in a DevOps Engineering, or related role. Strong hands-on experience with Azure DevOps and Azure cloud services. Proficiency with containerization and orchestration tools (e.g., Docker, Kubernetes). Experience with CI/CD tools such as Azure Pipelines, GitHub Actions or GitLab CI. Solid scripting skills (e.g., Bash, PowerShell, Python). Familiarity with monitoring and logging tools (e.g., Grafana, ELK, Azure Monitor). Strong understanding of networking, security, and system administration fundamentals. Preferred Experience with serverless architectures and microservices. Microsoft Azure certifications (e.g., AZ-400, AZ-104). Familiarity with Agile, DevSecOps, and ITIL practices. EDUCATION and/or EXPERIENCE Required Education - 2 year degree in Computer Science or related field of study. Experience - 0-2 years of experience in software development. o Understanding of Enterprise software systems and Line of Business development Preferred Education - 4 year degree in Computer Science or related field of study. Experience o 3-5 years of experience in software development. o Previous experience in the distribution industry o Development of APIs

Job Description Job Description Software Guidance & Assistance, Inc., (SGA), is searching for a DevOps Engineer (Test Automation & Performance Focus) for a contract assignment with one of our premier clients in Greensboro, NC . Responsibilities : Looking for a self-driven DevOps Engineer with a strong background in test automation, performance, and scale testing to support and bridge our development and QA teams. Requires someone who is comfortable working independently, owning automation and DevOps practices end to end, and proactively driving improvements across quality, performance, and delivery. This is a hands-on role suited to someone who enjoys responsibility, autonomy, and being a key technical enabler rather than part of a large DevOps function. Independently design, implement, and maintain automated test frameworks for a web-based product Own UI test automation using modern frameworks (e.g. Selenium, Playwright, SpecFlow, or similar) Design and execute performance, load, and scale testing to validate system behavior under real world usage Identify performance bottlenecks and work with developers to improve scalability and reliability Improve test coverage, stability, execution speed, and reporting Integrate functional, UI, and performance tests into CI pipelines DevOps & CI/CD Own and evolve CI/CD pipelines in Azure DevOps Ensure pipelines support build, automated testing, performance testing, and release workflows Improve feedback loops so performance and quality issues are detected early Automate repeatable processes and reduce manual overhead Identify pipeline or environment issues and resolve them independently Ownership & Collaboration Act as the bridge between development and QA while making autonomous technical decisions Take full ownership of DevOps, automation, and performance testing practices Communicate clearly around risks, findings, and improvement opportunities Work effectively with minimal supervision in a high-trust environment Required Skills : Early-mid level experience in DevOps, or test automation-focused roles Strong hands-on experience with automated testing for web applications Practical experience with UI testing frameworks Experience of performance, load, and scale testing (e.g. identifying bottlenecks, analyzing results, validating scalability) Working knowledge of C# and Windows-based development environments Hands-on experience with Azure DevOps, particularly pipelines Proven ability to work independently, manage priorities, and deliver without close oversight Preferred Skills : API and integration testing Familiarity with performance testing tools (e.g. JMeter, k6, or similar) Experience testing applications under increasing load or growth scenarios Understanding of cloud-hosted applications (Azure or AWS) Experience being the primary or sole owner of a technical area By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations. SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.

Job Description Job Description Job Description We are seeking a Software Quality Tester to drive the validation, compatibility, and rigorous quality assurance of our mission-critical applications. This versatile role requires an engineer who can bridge the gap between development and testing by leveraging deep technical expertise in database design, full-stack frameworks, cloud infrastructure, and DevOps pipelines. Primary Responsibilities Design, develop, and conduct comprehensive compatibility tests across diverse programs, hardware, operating systems, and network environments. Ensure the logical, systematic conversion of customer and product requirements into total systems solutions while balancing technical, schedule, and cost constraints. Design, implement, and maintain complex, interactive database structures, including writing advanced scripts, stored procedures, and triggers. Support application pipelines across AWS and Azure environments using Jenkins, GitHub, Docker, and Infrastructure-as-Code (IaC) tools like Terraform or CloudFormation. Administer Linux environments utilizing Bash and Python scripting, while leveraging the full ELK Stack (Elasticsearch, Logstash, Kibana, Filebeat) for system analysis. Establish strict database security procedures to protect against unauthorized usage and prepare detailed program-level, user-level, and security documentation. Facilitate continuous integration and team efficiency by actively performing as an Agile Scrum Master. Preferred Experience Demonstrated experience providing technical expertise on cloud cluster computing techniques and technologies. Experience designing software tools and subsystems to support software reuse and domain analysis. Proven ability to work alongside systems analysts, engineers, and programmers to negotiate project limitations, performance requirements, and interfaces. Prior experience providing technical support during software installation, configuration, and environment optimization. , Required Skills Required Experience Active TS/SCI with Full Scope Polygraph 4+ years of experience in software quality engineering, software development, or a highly technical systems validation role. Proven history of translating database requirements into end-to-end designs with multiple interfaces, web services, and user interfaces. Hands-on experience developing or testing web UIs using JavaScript, HTML, CSS, and modern frameworks such as React or ExtJS. Direct experience with continuous integration pipelines and configuration management tools (e.g., Ansible). , Desired Skills Preferred Experience Demonstrated experience providing technical expertise on cloud cluster computing techniques and technologies. Experience designing software tools and subsystems to support software reuse and domain analysis. Proven ability to work alongside systems analysts, engineers, and programmers to negotiate project limitations, performance requirements, and interfaces. Prior experience providing technical support during software installation, configuration, and environment optimization. , Additional Details What we offer: Flexible time off Full medical coverage 401(k) with company match Referral bonuses Performance bonuses Life insurance and disability coverage Tuition and training reimbursement , About BOAB Ventures BOAB Ventures is a premier recruiting firm specializing in connecting top-tier talent with major corporations. With a focus on cleared positions and corporate roles, we excel in identifying and placing highly skilled professionals in industries where precision, expertise, and discretion are paramount. Our commitment to excellence ensures that both employers and candidates find the perfect match to achieve their goals.

Job Description Job Description Hiring: QA Automation Lead - AI & Test Automation Location: Plano, Texas / onsite Experience: 15+ Years ONLY W2 We are looking for a highly experienced QA Automation Lead with strong hands-on expertise in test automation, framework development, quality engineering, and AI-assisted testing. Required Skills: 15+ years of experience in QA and test automation Strong programming skills in Java, Python, JavaScript, or TypeScript Hands-on experience with Selenium, Playwright, Cypress, or similar automation frameworks Expertise in API testing, microservices, SQL, and database validation Experience with CI/CD pipelines, Jenkins, GitHub Actions, or Azure DevOps Strong knowledge of automation framework design, quality metrics, and test reporting Practical experience with Generative AI, LLMs, prompt engineering, and AI-assisted testing Ability to lead automation initiatives, mentor QA engineers, and collaborate with cross-functional teams Preferred Skills: • Cloud platforms: AWS, Azure, or GCP • Quality dashboards: Power BI, Tableau, or Grafana • Docker, Kubernetes, performance testing, and AI/LLM validation Interested candidates: Please share your updated resume and contact details for further consideration. About Us: Vidha IT Solutions LLC is a dynamic technology services company dedicated to delivering innovative IT and data solutions to clients across industries. Our team thrives on solving complex challenges with modern technology, and we take pride in fostering a collaborative and growth-oriented workplace. At Vidha IT Solutions, employees are empowered to make an impact and grow their careers alongside a passionate, forward-thinking team.

Own and administer enterprise infrastructure, ERP and SaaS platforms across cloud, on-premises and hosted environments. Lead AI adoption and automation, build and support system integrations and data pipelines, and ensure systems are secure, reliable and well monitored. Responsibilities Manage Azure resources, Microsoft 365, identity services, VMware environments and Windows and Linux servers. Administer ERP and Saa S platforms, including configuration, security, upgrades, database health and vendor support. Lead AI platform adoption and help establish responsible-use controls across departments. Identify and deliver automation opportunities for operations and back-office processes. Design, build and support integrations and data pipelines using APIs, Azure Data Factory, Databricks, SQL and scripting. Maintain security, patching, backups, monitoring, disaster recovery and access reviews. Required Skills Microsoft Azure Azure SQLAzure Data Factory Microsoft 365 Entra ID / Active Directory VMware Windows and Linux server administration ERP administration REST APIs SQL and scripting

Edward Jones is seeking a Cyber Threat Intelligence Engineer IV to strengthen our security posture in the Finance & Insurance sector. In this senior role, you will lead the collection, analysis, and operationalization of cyber threat intelligence to protect client and firm assets. You will design and refine threat detection use cases, integrate intel feeds with SIEM and SOAR platforms, and guide incident response with actionable context. Partner with security, infrastructure, and risk teams to assess emerging threats, drive mitigation strategies, mentor junior analysts, and support a culture of integrity, collaboration, and continuous improvement. Responsibilities Lead collection and analysis of cyber threat intelligence to protect firm and client assets Develop and maintain threat detection use cases and signatures in SIEM tools Integrate threat intelligence feeds and data sources into SIEM/SOAR platforms Collaborate with incident response teams to provide context and guidance during investigations Monitor emerging threats, TTPs, and vulnerabilities relevant to financial services Perform threat modeling and risk assessments for critical systems and applications Create and maintain intelligence reports, dashboards, and executive summaries Mentor and guide junior analysts and engineers on CTI best practices Partner with security, infrastructure, and risk stakeholders to design mitigation strategies Contribute to continuous improvement of security operations processes and tooling Required Skills Cyber threat intelligence analysis Threat hunting SIEM administration (e.g., Splunk, QRadar) SOAR automation and orchestration Scripting (Python, Power Shell) Threat modeling and risk assessment MITRE ATT&CK framework Network and endpoint security tools (EDR, IDS/IPS) Incident response support and forensics familiarity Cloud security (AWS, Azure or similar)