Test engineer jobs in California

About the role Cognizant is looking to hire an experienced Senior QA Analyst with Financial Transaction experience. As a Senior QA Analyst, you will make an impact by supporting & encouraging Junior Test Analyst to communicate directly with business and development partners as confidence is gained. Work model: Hybrid We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3-4 days a week in a client or Cognizant office in Torrance, CA. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered • 5-8 years of experience in Testing. • Strong knowledge of financial transaction flows. What you need to have to be considered • Acts as primary point of contact for the project • Acts as primary coordination point with different partner teams and streams • Acts as Primary escalation point for any testing related concerns • Support & encourage Test Analyst to communicate directly with business and development partners as confidence is gained • Understands the business processes and key business metrics • Provides regular status to Management Salary and Other Compensation: Applications will be accepted until December 01, 2025. The annual salary for this position is between $53,477 - $92,500 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: • Medical/Dental/Vision/Life Insurance • Paid holidays plus Paid Time Off • 401(k) plan and contributions • Long-term/Short-term Disability • Paid Parental Leave • Employee Stock Purchase Plan Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship. *Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. Explore the product and our history! ***************************************************************************************** *********************************************** ************************************* ********************************************************************************************* Key job responsibilities Our kernel engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: * Design and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models * Analyze and optimize kernel-level performance across multiple generations of Neuron hardware * Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks * Implement compiler optimizations such as fusion, sharding, tiling, and scheduling * Work directly with customers to enable and optimize their ML models on AWS accelerators * Collaborate across teams to develop innovative kernel optimization techniques About the team #1. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. #2. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. #3. Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. #4. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. #5. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalent - 6+ years of full software development experience - Expertise in accelerator architectures for ML or HPC such as GPUs, CPUs, FPGAs, or custom architectures - Experience with GPU kernel optimization and GPGPU computing such as CUDA, NKI, Triton, OpenCL, SYCL, or ROCm - Demonstrated experience with NVIDIA PTX and/or AMD GPU ISA - Experience developing high performance libraries for HPC applications - Proficiency in low-level performance optimization for GPUs - Experience with LLVM/MLIR backend development for GPUs - Knowledge of ML frameworks (PyTorch, TensorFlow) and their GPU backends - Experience with parallel programming and optimization techniques - Understanding of GPU memory hierarchies and optimization strategies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Note on Cleared Roles: If this position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact in the DoD? You understand your customer's environment and how to develop the right systems for their mission. Your ability to translate real-world needs into technical specifications makes you an integral part of delivering a customer focused engineering solution. At Vantor, you'll work with the U.S. Space Force as part of the effort to develop and rapidly deploy the next generation of resilient Missile Warning (MW), Tactical Intelligence, Surveillance, and Reconnaissance (TISR), and Environmental Monitoring (EM) capabilities to deter attacks and provide critical information to our warfighters to defeat our enemies in battle. Within this role, you will lead a Systems, Engineering, and Integration (SE&I) team to plan and execute SE&I processes for space programs, including requirements analysis, architecture design, integration, testing, verification, and transition. Plan and coordinate SE&I activities across the SE&I team and broader stakeholder community, including the Federally Funded Research and Developmental Centers (FFRDCs), development contractors, and external stakeholders. Grow your skills by researching new requirements, technologies, and threats and using innovative engineering methodologies and tools to create tomorrow's solutions. Join our team and create the future of Remote Sensing in the Space Force. Due to the nature of work performed within this facility, U.S. citizenship is required. Empower change with us. Build Your Career: When you join Vantor, you'll have the opportunity to connect with other professionals doing similar work across multiple markets. You'll share best practices and work through challenges as you gain experience and mentoring to develop your career. In addition, you will have access to a wealth of training resources through our Digital University, an online learning portal where you can access more than 5000 tech courses, certifications and books. Build your technical skills through hands-on training on the latest tools and tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, on-site courses, vendor relationships, and a network of experts who can give you helpful tips. We'll help you develop the career you want as you chart your own course for success. Qualifications: Secret clearance Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) field 10+ years of experience with performing SE&I tasks on a major DoD or IC space programs 5+ years of experience with leading a team performing SE&I on large-scale national security satellite programs Experience with leading a team for development of technical specifications, interface control documents, integration plans and schedules, and inter-service support agreements Knowledge of DoD 5000.01 and 5000.02 Ability to communicate and establish collaborative relationships with government clients, FFRDCs, and associate contractor teammates to achieve program goals Preferred Qualifications: Experience leading a team performing SE&I tasks on Space-Based Environmental Monitoring (SBEM) systems Experience leading a team using a Model-Based Systems Engineering approach to manage system definitions and technical baselines Knowledge of systems engineering standards, including IEEE 15288.1 and IEEE 15288.2 Knowledge of Agile Methodologies Ability to be highly motivated with a dynamic work ethic and demonstrate a strong desire to contribute to the DoD mission Ability to perform multiple systems engineering and program management functions in support of design reviews and requirements verification Ability to identify, analyze, and resolve technical risks and issues, develop technical reports, and collaborate with government and other stakeholders to implement recommended solutions TS/SCI clearance Master's degree in Engineering, Mathematics, Physics, or CS INCOSE Systems Engineering Professional Certification, including ASEP, CSEP, or ESEP Certification #cjpost #LI-CJ1 Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is: $137,000.00 - $229,000.00 Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: ****************************** The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron ***************************************************************************************** *********************************************** ************************************* ********************************************************************************************* Key job responsibilities This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: * Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators. * Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment. * Build infrastructure to systematically analyze and onboard multiple models with diverse architecture. * Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models * Analyze and optimize system-level performance across multiple generations of Neuron hardware * Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks * Implement optimizations such as fusion, sharding, tiling, and scheduling * Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines. * Work directly with customers to enable and optimize their ML models on AWS accelerators * Collaborate across teams to develop innovative optimization techniques A day in the life You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you're always working on the most important initiative. About the team The Inference Enablement and Acceleration team fosters a builder's culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today. BASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent - 5+ years of non-internship professional software development experience - 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution. - Software development experience in C++, Python (experience in at least one language is required). - Strong understanding of system performance, memory management, and parallel computing principles. - Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems. PREFERRED QUALIFICATIONS- Familiarity with PyTorch, JIT compilation, and AOT tracing. - Familiarity with CUDA kernels or equivalent ML or low-level kernels - Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited. - Familiar with syntax and tile-level semantics similar to Triton. - Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments. - Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Harvey Nash USA has been engaged to find a talented Web Application Penetration Tester for an Enterprise Insurance Client. Must-have requirements- Advanced knowledge web application penetration testing. Extensive knowledge of and proven experience with penetration testing of web applications, and methods and frameworks for identifying and remediating vulnerabilities. In-depth knowledge of OWASP Top 10 and other frameworks. Proficient knowledge of Java, Spring, and Oracle. Working knowledge of Linux and Windows Job Title: Web Application Penetration Tester Location: Pleasanton, CA Duration: 12 Months Contract Hybrid/Remote: Hybrid Job Description: The Web Application Penetration Tester will perform the manual penetration testing of mission critical web application to discover vulnerabilities and propose remediations to the development team. The Web Application Penetration Tester is expected to: Conduct penetration tests on web pages to identify and exploit security vulnerabilities. Document the findings and provide techniques and solutions to remediate vulnerabilities. Work closely with the development team to implement remediations/solution and verify fixes. Plan and manage all aspects of the penetration testing function. Mentor the development team in building and securing web applications using OWASP and other mainstream frameworks. TECHNICAL KNOWLEDGE AND SKILLS: Advanced knowledge web application penetration testing. In-depth knowledge of OWASP Top 10 and other frameworks. Experience and willingness to work in a fast-paced environment. Development experience in an enterprise-class system with multi-tier architecture Proficient knowledge of Java, Spring, and Oracle. Working knowledge of Linux and Windows Extensive knowledge of and proven experience with penetration testing of web applications, and methods and frameworks for identifying and remediating vulnerabilities. Strong knowledge in project management practices and ability to document processes and procedures as needed. A reasonable, good faith estimate of the minimum and maximum hourly wage for this position is $66/hr. on W2 (rate may differ based on current location). Benefits will be available, and details are available at the following links: Benefits Details: *********************************************** 401K Plan: Our employees work hard, which is why Harvey Nash is proud to contribute to their hard-earned savings with a 401(k) retirement plan that includes a 25% company match on all deferrals. We also offer a Roth 401(k) for even more flexibility. Employees 21 years of age or older, and have completed 3 months of service, are eligible to participate.

We are looking for a detail-oriented Functional Tester to ensure the quality and reliability of software applications by validating functionality against business and technical requirements. The role involves test planning, execution, defect reporting, and close collaboration with development and business teams. Key Responsibilities Analyze business and functional requirements to understand application behavior. Design, write, and execute test cases and test scenarios for functional testing. Perform different types of testing such as Smoke, Sanity, Regression, System, and UAT support. Identify, log, track, and retest defects using defect tracking tools. Validate data accuracy and business rules during testing. Work closely with developers, business analysts, and product owners to clarify requirements. Participate in requirement review meetings and provide test estimates. Prepare test execution reports and share testing status with stakeholders. Ensure adherence to QA processes, standards, and best practices. Required Skills & Competencies Strong understanding of Software Testing Life Cycle (STLC) and SDLC Hands-on experience in manual functional testing Knowledge of test case design techniques Experience with defect tracking tools (e.g., JIRA, ALM, Bugzilla) Basic knowledge of SQL for data validation Good analytical and problem-solving skills Strong communication and documentation skills Good to Have Experience in Agile/Scrum methodology Knowledge of API testing (Postman, Swagger) Exposure to test management tools (TestRail, Zephyr) Domain experience (Banking, Healthcare, E-commerce, etc.) Qualifications Bachelor's degree in Computer Science, IT, or related field Relevant testing certification (ISTQB) is a plus Key Performance Indicators (KPIs) Test coverage and quality of test cases Defect detection efficiency Adherence to testing timelines Reduction in production defects

Requirements Support Client's FENX testing and installation effort, Execute pre-built TestRail test cases and validate software/hardware integration. Perform device configuration, firmware loading, and onsite hardware verification. Identify, document, and retest defects in collaboration with engineering. Provide daily execution summaries and phase-end test reports. Support installation punch lists, network validation, and device readiness checks. Card-Based Processing Onboarding and training on faregate devices. Executing test cases for card-based processing. Compiling test results and generating detailed TestRail test reports. Post-launch testing for bugs/issues identified during the pilot. Open Payment Processing + Fare Detection System Executing test cases for open-payment processing workflows. Compiling test results and generating detailed TestRail test reports. Post-launch testing for bugs/issues identified during Phase 2 pilot. Core Tech Stack AFC & Fare Collection Systems Cubic FENX, NextCity, validators, gates, TVMs. Fare device firmware tools & diagnostic utilities. Back-office transaction systems, API logs, and device communication protocols. Testing & QA Tools TestRail (required). Jira, Azure DevOps, or ServiceNow for defect management. Confluence for documentation. Git/GitHub/Bitbucket (for configuration review as needed). Hardware & Network Tools Linux/Windows diagnostics. Wireshark / packet capture utilities. Serial/Ethernet communication validation. OEM device provisioning tools. Multimeters and electrical verification tools. Required Skill Set Experience in testing and validating fare-collection systems (Cubic preferred). Strong functional, regression, and integration testing ability. Hands-on experience with faregates and payment-processing workflows. Firmware loading, device configuration, and hardware validation. Low-voltage installation familiarity (Cat5/6, power, grounding). Ability to read installation diagrams and diagnose field issues. Strong documentation and reporting discipline. Experience in transit, AFC, or industrial technical environments Daily execution status summaries. Defect logs with detailed reproduction steps and retest confirmations. Installation punch list and hardware verification checklist. Final Test Completion Summary Report per phase.

We are seeking a detail-oriented and proactive Testing Engineer I to join our Quality Engineering team. In this role, you will collaborate with clients' test engineering teams to design test plans, develop test cases, execute manual tests, and identify/report defects. The ideal candidate should have strong analytical skills, excellent communication abilities, and a passion for delivering high-quality products. Key Responsibilities Collaborate with client test engineering teams to: Develop comprehensive test plans for various components. Create detailed and accurate test cases. Execute manual testing across multiple platforms and environments. Identify, document, and report bugs/defects using standard tools. Perform a wide range of testing activities, including: Camera & Photography Testing Back-end Testing Black Box Testing Carrier Testing Cross-Browser / Cross-Platform Testing Compatibility Testing Documentation Testing Compliance Testing Exploratory Testing Accessibility Testing Functional Testing API / Services Testing Integration Testing Device Testing Regression Testing Globalization / Localization / Language Testing User Acceptance Testing (UAT) Mobile Application Testing System Testing Manual Testing Analyze customer scenarios to ensure comprehensive test coverage. Maintain accurate test documentation, logs, and reports. Collaborate with developers, product managers, and stakeholders during defect triage and issue resolution. Requirements 0-2 years of experience in Software Testing or Quality Assurance. Hands-on experience working with Unix/Linux or Windows environments. Strong understanding of manual testing concepts, test design, and bug reporting. Working knowledge of test automation tools (Selenium, Appium, or similar) is an added advantage. Excellent analytical skills with the ability to think through customer usage scenarios. Strong written and verbal communication skills. Detail-oriented, organized, and able to work in a fast-paced environment. Preferred Skills (Nice to Have) Basic scripting skills (Python, Shell, JavaScript, or similar). Familiarity with API testing tools such as Postman or Swagger. Exposure to automation frameworks or CI/CD pipelines.

Sr. Web Security/Penetration Testing Engineer (Web Application) Fremont, CA remote (Local candidate who can be in the client office weekly or Bi-weekly) Long Term Pay rate" $Best/hr on W2 Skills: Must have advanced knowledge web application penetration testing. Extensive knowledge of and proven experience with penetration testing of web applications, and methods and frameworks for identifying and remediating vulnerabilities. In-depth knowledge of OWASP Top 10 and other frameworks. Proficient knowledge of Java, Spring, and Oracle. Working knowledge of Linux and Windows

Must Have skills: Solid understanding of SONiC fundamentals, building SONiC foundations, test architecture Some experience setting up servers with SONiC built on them Network Protocols - Layer 2 and platform protocols PyTest automation Critical skills: Solid understanding of SONiC fundamentals, building SONiC foundations, test architecture Some experience setting up servers with SONiC built on them Network Protocols - Layer 2 and platform protocols PyTest automation Desirable skills: PTF/SpyTest

HCLTech is looking for a highly talented and self- motivated [911 PSAP Test Engineer role at San Ramon, CA] to join it in advancing the technological world through innovation and creativity. Job ID: 1623679BR Position Type: Full-time Location: San Ramon, CA (onsite) Responsibilities In accordance with relevant standards and interoperability of Next Generation 911 systems and associated components. Testing is critical to assuring effective emergency-response communications, ensure policies, procedures, and best practices for telephony systems are being met throughout the implementation of the 9-1-1 system. Required Skills, Knowledge and Experience Knowledge of wireline, wireless, VOIP and other communications technology Windows desktop and server Windows 10 Windows Server 2012 or higher Network protocols SIP/RTP, TCP/IP, UDP, DHCP System integration and testing Strong written and verbal communication skills Working knowledge of computers and electronic data processing; working knowledge of modern office practices and procedures Flexibility to work in a dynamic environment with shifting priorities with attention to detail. Desirable Skills, Knowledge and Experience Technical Knowledge of 911 Emergency Call Handling systems, (Cloud & Legacy) related Equipment, Network and Telephony architecture strongly preferred. i.e. Intrado Viper Motorola Vesta Carbyne APEX Cloud applications and knowledge or experience with firewalls (FortiGate), DNS, PKI, 4G/5G WAN (via CradlePoint), ESXi, Azure WAN, AWS Cloud WAN, and Terraform are beneficial. Hand-on experience in server room (racking, cabling) Test planning, test case development, execution, and reporting Telephony experience - T1s, PRI circuits, TDM Protocol analysis and troubleshooting, using Wireshark, Agilent, IRIS and/or other networking tools Performance, load, stability testing Experience with VMware NG911 and Emergency Services IP Network (ESINet) Job Responsibilities Test and certify 911 call handling applications (software, hardware) and GIS systems on Emergency Services IP Network (ESINet), a 911 call routing application. Testing New and Proof of concept e911 products or Networking functionality Testing and approving MOPs for field Site Technicians Develop and execute test plans, document defects and report test results. Work directly with call handling and ESInet suppliers to investigate, provide root cause analyses and resolve issues. Track open defects to resolution. Server Room Maintenance - To include Vendor CPE & ATT Network equipment. Ability to locate termination endpoint and installation of cabling of new servers' routers and associated network equipment. Staging of New 911 CPE equipment Pay and Benefits Pay Range Minimum: $90,000/ year Pay Range Maximum: $100,000/ year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to ****************** for investigation. A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You'll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Software Development Engineer in Test (SDET) Active US Security Clearance required Are you the kind of engineer who loves breaking things so the system becomes stronger? If you enjoy pushing distributed systems to their limits and building automation that mirrors real world behaviors, this role will be right up your street. A fast growing space technology company is searching for an SDET to help test, validate, and stress their mission critical software. You will work on technology that powers satellite operations, command and control services, and large scale real time behaviours. You do not need to be a space expert. If you love Python, automation, and solving complex problems, you will thrive here. What you will be doing • Building and automating tests that mirror real customer use cases • Simulating hundreds to thousands of satellites running operations • Acting as a chaos tester to uncover weaknesses and improve system resilience • Troubleshooting and fixing bugs across deployed backend systems • Testing APIs, databases, event driven architectures, and containerized environments • Supporting CI and automation within modern DevOps pipelines • Working closely with frontend, backend, and product teams to ensure quality at scale What you will need • Proficiency in Python • Experience with Playwright, Cypress, or similar end to end testing frameworks • Strong understanding of containerized and serverless architectures • Skilled in API testing and distributed databases • Experience building CI or automation pipelines, ideally with GitHub Actions • A track record of solving technical problems with minimal oversight • Active US Security Clearance (Secret required, TS or TS SCI preferred) • Must meet ITAR requirements (US citizen, US national, green card holder) What you will get • Hybrid work, two days per week on site with flexibility • Comprehensive health insurance with full coverage for employees • Unlimited PTO with a requirement to take at least 15 days • Most US federal holidays observed • Quarterly wellness benefits • 4 percent 401(k) matching • Quarterly offsites in great destinations • A team that values ownership, curiosity, and continuous improvement If you are excited by the idea of testing systems at scale and helping shape the future of satellite operations, I would love to speak with you. Feel free to reach out to Ciara Holmes at EVONA for more information or to apply directly.

Akkodis is seeking a - “Test Engineer I” for a Contract position with a client located Cupertino, CA. Pay Range: $40-$45/hr. (The rate/salary may be negotiable based on experience, education, geographic location, and other factors.). Job Summary The Video Engineering Image Quality (VEIQ) team is responsible for delivering world-class video quality across iPhone, iPad, Mac, and Vision Pro. We are seeking a highly skilled Camera Video Quality Engineer with strong experience in lab-based test automation and real-world video quality evaluation. In this role, you will help ensure our products deliver the best camera video experience in the world. Description In this position, you will conduct both laboratory and real-world video quality testing on iPhone and iPad, while benchmarking performance against competitive devices. You will play a key role on a fast-paced, collaborative team that thrives in a high-energy, dynamic environment. Your contributions will directly impact video quality across Apple products. Responsibilities include: Developing and executing camera video quality test models Capturing real-world video content for quality verification Identifying image quality (IQ) issues and performing initial analysis and triage Participating in IQ evaluations for new features and algorithms, providing actionable feedback to engineering teams Analyzing, reproducing, and isolating video quality issues across lab and real-world environments Minimum Qualifications BS in Image Science, Color Science, CS/CE/EE, or equivalent experience Experience with subjective and objective image quality evaluation Understanding of ISP pipelines and 3A (AE/AF/AWB) evaluation Strong attention to detail, analytical skills, and problem-solving abilities Ability to stay current on camera benchmarking results and testing methodologies Excellent written and verbal communication skills with a proven ability to collaborate cross-functionally Preferred Qualifications Proficiency in coding languages such as Python or C/C++ Strong video photography skills 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

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field (or equivalent professional experience). 3+ years of experience in Testing, software implementation, consulting, or technical support roles, preferably in the financial crime, AML, fraud, or risk management domain. Develop and execute system and user acceptance test (UAT) plans, troubleshoot issues, and support as needed.

Are you a penetration tester who doesn't stop at finding vulnerabilities, but lives to exploit and fix them? If so, this could be your chance to join a high-performing security function where your attack skills won't just be tested, they will be accelerated, stretched and sharpened. ReRoot Cyber is seeking multiple penetration testers to join a global technology organisation as part of their rapidly growing security assessment division. This is a truly unique opportunity to work alongside industry recognised penetration testers and work on a high profile security initiative in a cutting-edge environment with a focus on cloud connected devices, home solutions and secure networking. What you will do Deliver penetration tests across complex web applications & API's Conduct cloud security assessments in truly challenging cloud environments Develop and customise bespoke security tools Develop & improve existing & new testing methodologies Work with & mentor engineers on web application & cloud security Champion security integration across CI/CD pipelines company wide What we're looking for Curious & strategic breakers who love staying ahead of attackers At least 3 years of penetration testing experience (Web app & API) Cloud security assessment experience (AWS & AZURE) Tool/Script Creation (you'll write tools & not just use them) Strong scripting/coding skills (Python, JavaScript, Go, PowerShell, Bash) Published CVEs or Critical vulnerability research (Very advantageous) What's in it for you? Genuinely unparalleled career progression opportunities The opportunity to work on global scale security projects Autonomy to innovate and develop the way testing is done Access to continuous career development and support for advanced certifications Comprehensive benefits - fully paid medical/dental/vision, 401k matching, 4+ weeks PTO, wellness programs If you are ready to push boundaries, work in some of the most complex environments you'll see and advance your testing career, don't wait, as positions like this don't stay open long. Apply now or connect with me by searching ‘Adu Ansere' to learn more.

Software Engineer - AI Infra Startup - San Francisco, CA A small, deeply technical AI infra startup in San Francisco, building the platform that next-gen AI apps will run on - think custom compilers, CUDA kernels, and distributed orchestration are looking for a Software Engineer to join their team. What will I be doing? As a Software Engineer you'll help architect and build the infrastructure powering the next generation of AI systems. You'll work across the stack on: High-performance, distributed systems that support real-time AI workloads Kubernetes orchestration, infra tooling, and automation pipelines Low-level runtime components like custom compilers and CUDA kernels Scalable, reliable backend services Collaborating directly with the founding team on technical strategy and core architecture What are we looking for? Strong background in systems programming, backend, or infra engineering Experience with distributed systems, container orchestration, and Linux internals Comfortable working across multiple layers of the stack, from low-level code to infra ops Fast learner who thrives in ambiguous, high-agency environments Bonus: Experience with compilers, CUDA, or ML infrastructure What's in it for me: up to $300k base dependent on experience + 0.2-0.5% equity Work directly with deeply technical founders (ex-Stanford, Google, and more) on some of the hardest problems in AI infra On-site in San Francisco Stealth startup with serious backing, operating lean and hiring intentionally Apply now for immediate consideration!

Role: Founding Software Engineer Salary: $150k-$230k I am partnered with an early-stage start-up who is looking to hire a founding engineer to help build out their product, which is helping modernize and change the way procurement is done within the US government. The technology acts as a marketplace to connect companies with relevant opportunities and to streamline the process, which in turn will save time and money for both the government and potential suppliers. To be considered for this role you must have the following skills and background: Must be a US citizen due to the nature of the work Computer science degree from a top 30 university Have 1 year+ post-college work experience, or if you are a fresh grad, internship or demonstrable projects you have done yourself Experience with full-stack engineering - ideally have worked with Python and TypeScript Proven ability to design AI agents and harness LLMs for practical applications Working experience in an early-stage start-up is highly desirable and will make you stand out from the crowd If you want to know more about this position, please apply below and I will be in contact to discuss the position further.

A pioneering and well-funded AI company is seeking a talented Python Backend Engineer to build the core infrastructure for its revolutionary autonomous systems. This is a unique opportunity to join an innovative team at the forefront of engineering and artificial intelligence, creating a new category of software that will redefine how complex products in sectors like aerospace, automotive, and advanced manufacturing are designed and developed. Why Join? Build the Future of Engineering: This isn't just another backend role. Your work will directly shape how next-generation rockets, cars, and aircraft are designed, fundamentally changing the engineering landscape. Solve Unprecedented Technical Puzzles: Tackle unique challenges in building the infrastructure for autonomous AI agents, including simulation orchestration, multi-agent coordination, and scalable model serving. Shape a Foundational Platform: As a critical member of a pioneering team, you will have a significant impact on the technical direction and core architecture of an entirely new category of software. Join a High-Impact Team: Work in a collaborative, fast-paced environment where your expertise is valued, and you have end-to-end ownership of critical systems. Compensation & Location: Base salary of up to $210,000 + equity + benefits, while working on-site with the team in a modern office in downtown San Francisco. The Role As a Python Backend Engineer, you will be instrumental in constructing the infrastructure that underpins these autonomous engineering agents. Your responsibilities will span model serving, simulation orchestration, multi-agent coordination, and the development of robust, developer-facing APIs. This position is critical for delivering the fast, reliable, and scalable systems that professional engineers will trust and depend on in high-stakes production environments. You will: Own and build the core backend infrastructure for the autonomous AI agents, focusing on scalability, model serving, and multi-agent orchestration. Design and maintain robust APIs while integrating essential third-party tools like CAD software and simulation backends into the core platform. Develop backend services to process and serve complex 3D visualizations from simulation and geometric data. Collaborate across ML, frontend, and simulation teams to shape the product and engage directly with early customers to drive infrastructure needs. Make foundational architectural decisions that will define the technical future and scalability of the entire platform. The Essential Requirements Strong backend software engineering experience, with a primary focus on Python. Proven experience in designing, building, and maintaining production-level APIs (FastAPI preferred but Flask and Django also considered). Experience with 3D visualization libraries or tools such as PyVista, ParaView, or VTK. Excellent systems-thinking skills and the ability to reason about the interactions between compute, data, and models. Experience working in fast-paced environments where end-to-end ownership and proactivity are essential. Exceptional communication and collaboration abilities. What Will Make You Stand Out Experience integrating with scientific or engineering software (such as CAD, FEA, or CFD tools). Exposure to agent frameworks, workflow orchestration engines, or distributed systems. Familiarity with model serving frameworks (e.g., TorchServe, Triton) or simulation backends. Previous experience building developer-focused tools or working in high-trust, customer-facing technical roles. If you are interested in this role, please apply with your resume through this site. SEO Keywords for Search Python Backend Engineer, Python Software Engineer, Backend Engineer, Software Engineer, Python Developer, AI Engineer, Machine Learning Infrastructure, MLOps Engineer, Backend Software Engineer (Python), Senior Backend Engineer, AI/ML Engineer, Infrastructure Engineer, FastAPI Developer, PyVista, ParaView, VTK, 3D Visualization, Docker, Kubernetes, Cloud Engineer, AI Platform Engineer, Distributed Systems Engineer, Simulation Software Engineer, CAD Integration, CFD, FEA, Scientific Computing, High-Performance Computing (HPC), Agent Frameworks, Workflow Orchestration, Technical Lead, Staff Engineer. Disclaimer Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.

We are actively searching for a Founding Protocol Engineer to join our team on a permanent basis. In this position you will If you are someone that is impressed with what Hyperliquid has accomplished then this role is for you. We are on a mission to build next generation lending and debt protocols. We are open to both Senior level and Architect level candidates for this role. Your Rhythm: Drive the architecture, technical design, and implementation of our lending protocol. Collaborate closely with researchers to validate and test designs Collaborate with auditors and security engineers to ensure safety of the protocol Participate in code reviews, providing constructive feedback and ensuring adherence to established coding standards and best practices Your Vibe: 5+ years of professional software Engineering experience 3+ years of experience working in Solidity in EVM in production environments, specifically focused in DeFi products 2+ years of experience working with a modern backend languages (Go, Rust, Python, etc) in distributed architectures Experience building lending protocols in a smart contract language Open to collaborating onsite a few days a week at our downtown SF office Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!