Java jobs in United States

You will join a dynamic team working at the cutting edge of the GenAI revolution by applying AI to AI. You will work on building agents, tools, and models to simplify and accelerate customer adoption of Neuron, the software stack supporting Amazon's Machine Learning silicon: Trainium. Partnering with external and internal customers, you will identify key obstacles and opportunities to accelerate their migration to AWS's ML silicon. You will be a key contributor driving impact by building AI agents and tools that simplify Amazon Neuron adoption, which is critical to Amazon's Generative AI business. Key job responsibilities This role requires collaborating with other Neuron Software teams, Science, AWS AI Services, external partners and customers with a potential high impact on Amazon's top and bottom line. As a member of the team applying Generative AI to accelerate Neuron adoption, you will play a key role in shaping this space with the following technical responsibilities: • Research implementations that deliver the best possible experiences for customers., • Deliver on goals to improve the time and effort it takes to port and optimize Machine Learning workloads on Neuron., • Build and operate agentic evaluation frameworks, monitoring, and feedback loops that ensure the correctness, reliability, and continuous improvement of AI agents, • Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security., • Build high-quality, highly available, always-on products., • Potentially contribute intellectual property through patents About the team We pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs’ location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our Amazon customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our team’s breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with Neuron, Inferentia and Trainium ML chips, in networking and security with products such as Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with Graviton and F1 EC2 instances. • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • 1+ years of software development engineer or related occupational experience, • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience, • 1+ years of Object Oriented Design experience, • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field, • Experience programming with at least one software programming language, • 3+ years of relevant, broad engineering experience., • Computer Science core: object-oriented design, data structures, and performance analysis with at least 2 programming languages., • Hands-on technical experience working in the Generative AI space, • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations., • Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math., • Passion for customer experience and usability, including successful delivery of customer self-service tools and automated management/optimization of services, and a strong services orientation, • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent, • Bachelor's or Master's degree in computer science or equivalent, • 2+ years in machine learning or other computational modeling environments with an emphasis on hosting, building or optimizing models for diverse hardware platforms, • Proven track record in building AI agents that automate ML workload optimization, ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization, • Experience working with open-source software communities in the optimization space or related areas, • Domain-level knowledge of AWS services, • Knowledge of the state-of-the-art technology used in the Machine Learning space and its mathematical underpinning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, NY, New York - 158,100.00 - 213,800.00 USD annually

AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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. \n • \n 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. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n 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. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n 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 \n • \n 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 \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor'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, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n 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 \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff AI Engineer role (Remote Eligible)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • 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.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • 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.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams\n, • Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads\n, • Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design\n, • Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • 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\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Capital One is open to hiring a Remote Employee for this opportunity. \n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 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 6 years of experience developing AI and ML algorithms or technologies\n, • At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems \n, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level\n, • 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\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks\n, • Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency\n, • Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization\n, • Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility \n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer\n \n Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer\n \n McLean, VA: $269,100 - $307,200 for Staff AI Engineer\n \n New York, NY: $293,600 - $335,100 for Staff AI Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer\n \n San Jose, CA: $293,600 - $335,100 for Staff AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. \n \n Team: \n The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n \n 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. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4\n \n Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • 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.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • 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.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • 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\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor'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, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • 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\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Staff AI Engineer\n \n \n 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. \n \n Team Description: \n 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. \n What You’ll Do: \n\n • 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.\n, • 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.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • 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.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale\n, • Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide\n, • Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture\n, • Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One’s AI technical leadership\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies\n, • At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy\n, • 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems \n, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level\n, • 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\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership\n, • Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance\n, • Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams\n, • Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer\n \n McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer\n \n New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer\n \n San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

JOB DESCRIPTION\n \n \n As an X-Day Offensive Research (XOR) Vulnerability Researcher - Assessments & Exercises at JPMorganChase in the Cybersecurity & Technology Controls line of business, you will contribute significantly to enhancing the firm's cybersecurity or resiliency posture by using industry-standard assessment methodologies and techniques to proactively identify risks and vulnerabilities in people, processes, and technology. In this role, you will design and deploy risk-driven assessments (or manage a highly-skilled team that does) and inform analysis to clearly outline root causes. \n We are seeking a dedicated, self-motivated vulnerability researcher to tackle the complex demands of our mission. Working closely with fellow researchers and defense teams, you will investigate challenging targets, uncover novel attack surfaces, and develop innovative solutions that enhance our security posture. The ideal candidate combines deep technical curiosity with a strong background in reverse engineering, static analysis, and dynamic analysis, and thrives in a highly collaborative, research-driven environment. Job responsibilities \n\n • Design and execute testing and simulations – such as penetration tests, technical controls assessments, cyber exercises, or resiliency simulations – and contribute to the development and refinement of assessment methodologies, tools, and frameworks to ensure alignment with the firm's strategy and compliance with regulatory requirements.\n, • Evaluate controls for effectiveness and impact on operational risk, as well as opportunities to automate control evaluation.\n, • Conduct in-depth vulnerability research and exploit development across a broad range of categories, including operating systems, mobile devices, web applications, browsers, edge devices, and enterprise software.\n, • Reverse engineer binaries using tools such as IDA Pro, Ghidra, or Binary Ninja to identify novel attack surfaces and develop proof-of-concept exploits.\n, • Use common vulnerability research toolsets such as fuzzers, disassemblers, debuggers, and code browsers for static and dynamic analysis.\n, • Perform N-day vulnerability analysis, patch diffing, and proof-of-concept exploit validation.\n, • Collaborate with cross-functional teams to develop comprehensive reports – including detailed findings, risk assessments, and remediation recommendations – supporting vulnerability triage, patch prioritization, and the sharing of indicators of compromise (IOCs) in service of the firm's mission requirements.\n, • Leverage threat intelligence and security research to stay ahead of emerging threats, vulnerabilities, industry best practices, and regulations, applying this knowledge to enhance the firm's assessment strategy and risk management, and engaging with peers and industry groups that share threat intelligence analytics.\n, • Document research findings, proof-of-concepts, and technical workflows to enable knowledge sharing and repeatability.\n\n \n Required qualifications, capabilities, and skills \n\n • 5+ years of experience in cybersecurity or resiliency, with demonstrated exceptional organizational skills to plan, design, and coordinate the development of offensive security testing, assessments, or simulation exercises.\n, • Track record of discovered vulnerabilities (CVEs) in high-profile targets in at least one of the following categories: operating systems, mobile devices, web applications, browsers, edge devices, or enterprise software.\n, • Proven hands-on experience in vulnerability research, proof-of-concept exploit development, coordinated vulnerability disclosure, and mitigating security vulnerabilities in open-source projects.\n, • Expertise in advanced analysis frameworks leveraging symbolic execution techniques and dynamic binary instrumentation to identify, triage, and exploit complex software vulnerabilities.\n, • Hands-on proficiency exploiting complex vulnerability classes – including use-after-free, double free, type confusion – and applying advanced exploitation techniques such as heap spraying and controlled memory corruption to achieve reliable code execution.\n, • Strong understanding of the internals of at least two operating systems throughout user mode and kernel mode (Microsoft Windows, GNU/Linux, Android, macOS, or iOS).\n, • Experience auditing large C/C++, Java, and .NET codebases combining automated static analyzers with manual review to trace data and control flow, uncover memory-safety, injection, and deserialization vulnerabilities and produce proof-of-concept code.\n, • Extensive reverse engineering expertise on x86/x64 and ARM/ARM64 binaries, employing IDA Pro, Ghidra, Binary Ninja, WinDbg, GDB, and RR for deep static/dynamic analysis and root cause vulnerability discovery.\n, • Knowledge of US financial services sector cybersecurity or resiliency organization practices, operational risk management processes, principles, regulations, threats, risks, and incident response methodologies.\n, • Ability to identify systemic security or resiliency issues as they relate to threats, vulnerabilities, or risks, with a focus on recommendations for enhancements or remediation, and proficiency in multiple security assessment methodologies (e.g., Open Worldwide Application Security Project (OWASP) Top Ten, National Institute of Standards and Technology (NIST) Cybersecurity Framework), offensive testing tools, or resiliency testing equivalents.\n, • Excellent communication, collaboration, and report writing skills, with the ability to influence and engage stakeholders across various functions and levels.\n\n \n Preferred qualifications, capabilities, and skills \n\n • Bachelor's degree in computer science, or PhD in a related technical field, or an equivalent combination of education and/or experience in a related field.\n, • 5+ years of experience in vulnerability research and exploit development.\n, • Experience using fuzzing tools such as LibFuzzer, LibAFL, AFL++, OSS-Fuzz, and Syzkaller.\n, • Experience using program analysis tools such as LLVM, Angr, KLEE, Intel Pin, DynamoRIO, and Frida.\n, • Experience emulating embedded platforms for live debugging.\n, • Experience with kernel and low-level operating system development.\n, • Deep Linux internals knowledge (SELinux, AppArmor, Seccomp, eBPF, containers, VMs).\n, • Deep Windows internals knowledge (KASLR, DSE, SSDT, IDT, SMEP, SMAP, PXN, KPP, KDP, VBS, HVCI, KMCI, UMCI).\n\n \n #CTC ABOUT US\n \n \n\n \n JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.\n \n \n \n We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. \n \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans \n \n \n\n \n ABOUT THE TEAM\n \n \n\n The Cybersecurity & Technology Controls group at JPMorganChase aligns the firm's cybersecurity, access management, controls and resiliency teams. The group proactively and strategically partners with all lines of business and functions to enable them to design, adopt and integrate appropriate controls; deliver processes and solutions efficiently and consistently; and drive automation of controls. The group's number one priority is to enable the business by keeping the firm safe, stable and resilient. \n \n \n \n \n High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment. \n \n \n \n \n

AI Engineer 4 (Gen AI Platform Services)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • 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.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • 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.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • 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\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor'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, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • 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\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Title: Mainframe Application Modernization Developer Location: New York, NY or Pittsburgh, PA Job Type: Contract Duration: 6–12 months, with possible extension or conversion Schedule: 4 days onsite and 1 day work from home Pay Rate: $60 - $65/hour Note: This job doesn't offer any benefits. Position Overview We are seeking experienced Mainframe Application Modernization Developers to support application development and modernization initiatives in the financial services and cash management domain. Three positions are available, with candidates required to work onsite four days per week. Required Qualifications 10+ years of Mainframe Application Development experience. Strong hands-on experience with COBOL, CICS, and DB2. Strong Financial Services/Cash Management domain experience. Mainframe Application Modernization experience, including one or more of the following: Language migration. Integration of mainframe and non-mainframe environments using APIs. Application optimization and modernization. Working with Java and/or Python alongside mainframe technologies. Strong communication and interpersonal skills. Comfortable working onsite at the client location four days per week. Preferred Qualifications Responsibilities Develop and maintain mainframe applications using COBOL, CICS, and DB2. Support mainframe application modernization and optimization initiatives. Assist with language migration and modernization projects. Integrate mainframe applications with non-mainframe environments using APIs. Work with Java and/or Python alongside existing mainframe technologies. Support application development initiatives within financial services and cash management. Collaborate with technical teams and stakeholders to support modernization objectives.

Job Description Role: JBoss Apache Fuse Engineer Location: Denver, CO (Remote) Duration: Long Term Contract Experience: 8 Years Skills: Java, RedHat Fuse, Apache Camel Job Description: Looking for a JBoss Fuse Engineer with strong experience in RedHat Fuse, Apache Camel, Java 8 , Spring Boot, Microservices, REST APIs, Kafka, Docker/OpenShift, SQL/NoSQL databases, and CI/CD tools, preferably with GCP and Healthcare (RCM) domain experience. Mandatory skills • RedHat Fuse, Apache Camel, Java 8 , Micro-Services Architecture, REST Based API design, Spring, Sprint boot, Spring Data JPA, SQL Databases, Jenkins GIT, JIRA, • Job Description - Solid experience using Apache Camel, JBoss Fuse, Java, Spring Boot, and Microservices, • Should have experience in writing consuming REST API, • Good understanding with any of the Relational and NoSQL Database, • Experience in Design patterns microservices, • Experience with Kafka streaming - Experience in multithreading and data structures - Experience working on Docker containers, OpenShift, • Experience using GIT, Junit, Maven, Jenkins - Experience in any of the Cloud Provider (GCP is preferred) Roles and Responsibilities – • Agile product development experience is required, Excellent team player with strong communication inter-personal presentation skills, • Good understanding of US HC especially on RCM revenue cycle management clinicals medications orders labs etc will be an added advantage, • Gather complete understanding of the requirements and task out Epics/user stories planned in a Release/Sprint, • Understand the current and proposed design and prepare LLD for Epics considering the dependencies across domains other teams, • Follow best coding practices adherence to the code coverage metrics - Write enough Junits and test the developed pieces of code, • Demonstrate developed piece of code, • Collaborate with different teams like Client Architecture, Data Modelling team etc., • Troubleshoots production tickets that may be raised during offshore hours. Educational Qualifications: - • Engineering Degree – BE/ME/BTech/MTech/BSc/MSc., • Technical certification in multiple technologies is desirable.

Job Description Job Description: Senior QA Engineer Job Title: Senior QA Engineer Experience: 5–8 Years Employment Type: Full-time Department: Quality Assurance / Engineering Job Summary We are looking for an experienced Senior QA Engineer to lead quality assurance activities, develop effective testing strategies, and ensure the delivery of reliable, high-quality software products. The ideal candidate should have strong expertise in manual testing, test automation, API testing, performance testing, and defect management, with the ability to collaborate with cross-functional teams and drive continuous improvements in software quality. Roles and Responsibilities Analyze business requirements, user stories, and acceptance criteria to identify testing scope and risks. Develop comprehensive test strategies, test plans, test scenarios, and test cases. Perform functional, regression, integration, smoke, exploratory, and end-to-end testing. Design, develop, and maintain automation frameworks using Selenium WebDriver with Java and Playwright. Create reusable automation scripts using TestNG, JUnit, and Page Object Model (POM). Perform API testing using Postman and REST Assured. Execute database testing and data validation using SQL queries. Conduct performance and load testing using Apache JMeter. Integrate automated test suites into CI/CD pipelines using Jenkins or GitHub Actions. Identify, document, prioritize, and track defects using Jira or similar tools. Perform root cause analysis and collaborate with developers to resolve complex defects. Review test cases, automation scripts, and test results to ensure quality standards. Mentor junior QA engineers and provide technical guidance on testing practices. Coordinate with developers, product managers, business analysts, and other stakeholders. Define and monitor quality metrics, automation coverage, defect leakage, and test execution status. Support release validation, production issue investigation, and user acceptance testing. Identify opportunities to improve test coverage, reduce flaky tests, and optimize execution time. Participate in Agile ceremonies, sprint planning, release planning, and retrospectives. Required Technical Skills Manual Testing: Functional, Regression, Smoke, Integration, Exploratory Testing Automation Testing: Selenium WebDriver, Playwright Programming Languages: Java, JavaScript, or Python Testing Frameworks: TestNG, JUnit, Page Object Model API Testing: Postman, REST Assured Performance Testing: Apache JMeter Database Testing: SQL, joins, data validation CI/CD Tools: Jenkins, GitHub Actions Version Control: Git, GitHub, Bitbucket Defect Management: Jira, Azure DevOps Build Tools: Maven, Gradle Methodologies: Agile, Scrum, SDLC, STLC Preferred Skills Experience building and maintaining automation frameworks from scratch. Strong understanding of object-oriented programming and design patterns. Experience with cross-browser testing and parallel test execution. Knowledge of cloud platforms, Docker, and containerized test environments. Experience testing REST APIs, microservices, and third-party integrations. Understanding of application monitoring, log analysis, and root cause analysis. Familiarity with security testing and accessibility testing. Experience using AI-powered coding assistants such as Cursor or Claude. Knowledge of test metrics, risk-based testing, and quality engineering practices. Educational Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Relevant experience in software testing and quality engineering. Testing or automation certifications are an advantage. Key Competencies Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and stakeholder management. Ability to lead testing activities and manage priorities independently. Attention to detail and a customer-focused quality mindset. Ability to mentor team members and drive continuous improvement. Key skills for a Naukri job posting: Senior QA Engineer, Manual Testing, Selenium WebDriver, Java, Playwright, TestNG, API Testing, REST Assured, JMeter, SQL, Jenkins, CI/CD, Git, Jira, Automation Framework Development, Regression Testing, Root Cause Analysis, Agile, and Test Strategy.

Job Description API Test Engineer Job Description (JD) Job Title API Test Engineer Job Summary We are looking for a skilled API Test Engineer to design, develop, and execute API testing strategies to ensure the quality, reliability, performance, and security of RESTful and SOAP web services. The ideal candidate should have experience with API automation, manual API testing, database validation, CI/CD integration, and testing tools such as Postman and REST Assured. Key Responsibilities Design and execute API test cases for REST and SOAP services. Develop and maintain API automation frameworks. Validate API functionality, performance, reliability, and security. Perform request and response validation using JSON and XML. Test CRUD operations (GET, POST, PUT, PATCH, DELETE). Verify authentication and authorization mechanisms (OAuth 2.0, JWT, API Keys). Perform database validation to ensure data integrity. Identify, log, and track defects using defect management tools. Integrate API automation into CI/CD pipelines. Collaborate with developers, QA engineers, and DevOps teams. Create API test plans, reports, and documentation. Participate in Agile/Scrum ceremonies. Required Skills API Testing REST API Testing SOAP API Testing GraphQL API Testing Web Services Testing JSON & XML Validation HTTP/HTTPS Protocol CRUD Operations API Versioning API Automation Tools REST Assured (Java) Postman Newman Karate Framework SoapUI Insomnia Programming Languages Java (Preferred) Python JavaScript C# Knowledge of: Object-Oriented Programming (OOP) Exception Handling Collections File Handling JSON Parsing API Authentication OAuth 2.0 JWT (JSON Web Token) API Key Authentication Basic Authentication Bearer Token Authentication API Concepts HTTP Methods GET POST PUT PATCH DELETE HTTP Status Codes Request Headers Query Parameters Path Parameters Request Body Response Validation Cookies Sessions Database Testing Experience in validating backend data using: SQL MySQL PostgreSQL Oracle SQL Server Knowledge of: Joins Stored Procedures Views CRUD Operations Data Validation CI/CD & DevOps Experience with: Jenkins Git GitHub GitLab Azure DevOps Maven Gradle Docker Responsibilities: Execute API automation in CI/CD pipelines. Generate execution reports. Schedule automated regression runs. Performance Testing (Preferred) JMeter LoadRunner API Load Testing Stress Testing Spike Testing Security Testing (Preferred) OWASP API Security SQL Injection Testing Authentication Testing Authorization Testing Rate Limiting Validation API Vulnerability Testing Reporting & Defect Management Experience with: JIRA Azure DevOps Bugzilla ALM/Quality Center Reporting Tools: Allure Reports Extent Reports Newman Reports Preferred Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 2 6 years of experience in API testing and automation. Hands-on experience with REST Assured or Postman automation. Good understanding of SDLC, STLC, and Agile methodologies. Experience working with microservices architecture. Nice to Have Skills Selenium WebDriver Playwright Cypress Kafka Testing RabbitMQ Testing Docker & Kubernetes Cloud platforms (AWS, Azure, GCP) Contract Testing (Pact) Mock Servers (WireMock) Sample Project Responsibilities Develop REST Assured automation for microservices APIs. Validate request and response payloads against API contracts. Perform end-to-end API testing integrated with UI automation. Execute regression API suites in Jenkins. Validate backend database updates after API execution. Perform API performance testing using JMeter. Secure APIs by validating authentication and authorization mechanisms. Sample API Automation Framework Framework Components REST Assured API automation Java Programming language TestNG/JUnit Test execution Maven Dependency management Jackson/Gson JSON serialization/deserialization Log4j Logging Extent Reports/Allure Reporting Jenkins CI/CD Git Version control Execution Flow Jenkins triggers the build. Maven downloads dependencies. TestNG executes API test cases. REST Assured sends HTTP requests. Responses are validated against expected results. Database validation is performed (if required). Reports are generated and published. Results are shared with the QA team. Interview Questions API Basics What is an API? What is the difference between REST and SOAP? Explain HTTP methods (GET, POST, PUT, PATCH, DELETE). What are HTTP status codes? What is idempotency in REST APIs? REST Assured How do you automate APIs using REST Assured? How do you validate JSON responses? How do you extract values from API responses? How do you perform parameterization in REST Assured? Authentication Explain OAuth 2.0. What is JWT? How do you pass authentication tokens in API requests? Database Validation How do you validate database changes after an API call? Explain SQL joins used during API testing. CI/CD How do you integrate API tests into Jenkins? How do you execute Postman collections using Newman? Scenario-Based How do you test an API when documentation is unavailable? How would you validate an API returning intermittent 500 errors? How do you test pagination and filtering APIs? How do you handle dynamic values such as tokens or session IDs? Key Skills for Resume REST API Testing REST Assured Postman Newman SoapUI Karate Framework Java JSON XML OAuth 2.0 JWT SQL MySQL Oracle PostgreSQL Jenkins Maven Git Docker JIRA TestNG JMeter API Automation Microservices Testing CI/CD Agile Testing

Job Description • Only LOCALS in NY can Apply and Face to Face Interview is MUST, • Highly Qualified Resources and Who Can Commit to Relocate to the Client Location may be considered., • RATE is the deciding factor and share your bottom-line expectations, • Note: NO VISA SPONSORSHIP and looking for only who can work on our W2. Our AI System will not consider the Corp to Corp (C2C) Applications and the same will be rejected automatically., • CLIENT IS LOOKING FOR STATUS INDEPENDENT AND GENUINE PROFILE WITH 10+ YEARS OF STRONG EXPERIENCE. Locals only and IN-person interviews. Job Requirements: • Develop tooling and self-service capabilities for deploying AI solutions for the firm leveraging Kubernetes, Python, authentication solutions, APIs, REST framework, etc, • Have a platform mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models., • Leverage Kubernetes to develop modern containerized workloads, • Integrate with capabilities such as large-scale vector stores for embeddings., • Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain., • Analyze, investigate, and implement GenAI solutions focusing on Agentic Orchestration and Agent Builder frameworks., • Participate in all team's Agile/ Scrum ceremonies. What you'll bring to the role: • 10+ years of overall experience in software engineering, design and development, • 5+ years of hands-on experience building and maintaining production Python applications or libraries, using idiomatic Python, type annotations, automated testing, and static analysis, • Prior production development experience in a statically typed language, such as Java or C#, with an understanding of explicit contracts, type safety, and maintainable software design., • Experience designing and maintaining modular, readable, well-tested production code, with clear interfaces, appropriate abstractions, consistent coding standards, and effective dependency management., • Understanding of dependency injection and inversion of control, with experience using DI containers or equivalent dependency-management approaches., • Strong understanding of data structures and software design principles, with the ability to apply appropriate patterns without unnecessary complexity., • Experience with test-driven development (TDD), automated unit and integration testing, and designing code that can be tested independently of external services., • Experience participating in design reviews and code reviews, with a focus on maintainability, testability, and long-term ownership., • Experience with designing APIs and SDKs, • Experience in development, management, and deployment of Kubernetes workloads., • Hands-on experience with multiprocessing, multithreading, asynchronous I/O, performance profiling in at least one prominent programming language, • Ability to articulate technical concepts effectively to diverse audiences., • Excellent communication skills., • Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps., • Knowledge of DevOps and Agile practices. Nice to have: • Experience deploying applications on Azure, AWS, and/or GCP using IaC (Terraform), • Understanding of OAuth 2.0 protocol for secure authorization., • Experience with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex., • Good knowledge of Microservice based architecture, industry standards, for both public and private cloud., • Good understanding of modern Application configuration techniques., • Good knowledge of various DB engines (SQL, Redis, Kafka, etc) for cloud app storage., • Deep understanding of AI agents, Agentic Orchestration, Multi-Agent Workflow Automation, along with hands-on experience in Agent Builder frameworks such Lang Chain, Lang Graph, Microsoft Agent Framework., • Experience working with Generative AI development, embeddings.\nCompany Description Primesoft Consulting Services Inc is a rapidly growing Information Technology Services and cost effective solutions for our customers and fulfilling their strategic business requirements. Primesoft Consulting Services Inc is a rapidly growing Information Technology Services and cost effective solutions for our customers and fulfilling their strategic business requirements.

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. Location: NY/NJ, Columbus, Delaware Duration: 6-month assignment with the possibility of extension / conversion to FTE Job Description: We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As an Android Software Engineer, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities: • Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems., • Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables, while validating outputs through peer review, automated testing, and secure coding standards; contribute learnings and reusable patterns to improve broader team effectiveness., • Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation., • Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems., • Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development., • Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems., • Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture., • Contribute to software engineering communities of practice and events that explore new and emerging technologies., • Add to team culture of diversity, opportunity, inclusion, and respect.Required Qualifications, Capabilities, and Skills:, • Formal training or certification in Software Engineering and 3 years applied experience., • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security., • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices., • Combined software/application development experience, with a focus on mobile development., • Experience providing technical leadership and mentoring diverse engineering teams building native mobile applications., • Strong Android development experience, including building mobile applications using Kotlin., • Working knowledge of common architectural patterns, including MVVM, MVP, and MVC., • Experience with modern native mobile development tools and frameworks, including Git, Xcode, CocoaPods, Swift Package Manager, CoreData, Android Studio, Robolectric, Mockito, Espresso, RxJava, Dagger, and Retrofit., • Experience building and maintaining CI/CD pipelines., • Experience working in Agile development environments, including daily scrums and iteration reviews/planning., • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security., • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).Preferred Qualifications, Capabilities, and Skills:, • Familiarity with mobile performance optimization, device-based testing, and common mobile platform constraints., • Working knowledge of multiple programming languages, such as Swift, Kotlin, Objective-C, Java, C, JavaScript, Ruby, and Python., • Experience with Git source control management., • Experience consuming and integrating RESTful web services in mobile applications., • Strong communication skills, with the ability to clarify application requirements with business partners via phone/email in addition to technical documentation.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 DescriptionSRE Platform Engineer Location- Alpharetaa GA ( Onsite) Interview- F2F (Locals Only) The Platform Management team is part of the Wealth Management Organization at Brokerage. This position is for a senior level platform engineer who is responsible for managing technology platforms used by the division such as operating systems, public and private cloud, web, and middleware components like Business Process Management, Operational Decision Manager and Process Federation Server etc. The resource will ensure that the platforms are up to date in support lifecycle, patching, and risk remediation. Excellent communication and collaboration skills to work with cross-functional teams. Deep knowledge and expertise of Linux, Kubernetes, Openshift, Github, Teamcity, Jenkins, Artifactory, Websphere Liberty, Eclipse IBM BPM, IBM ODM, Java and DB2 LUW. Primary responsibilities Manages complex platforms and frameworks like private and public cloud, middleware platforms like Business Process Management, Operational Decision Manager, and Process Federation Server. Supports large technology projects, hygiene activities, upgrades, rollouts at scale. Works closely with development teams to containerize applications, and ensuring the scalability, performance, and security of the OpenShift cluster, with expertise in Kubernetes concepts like deployments, pods, services, and CI/CD pipelines. Works closely with cross-functional teams to define standards, execute POCs, and integrate with CI/CD pipelines, utilizing tools such as UrbanCode Deploy, Harness, Jenkins, Artifactory, and HashiCorp products. Monitors platform health, identify and resolve issues related to application deployments, scaling, and network connectivity. Has deep understanding of Kubernetes core concepts like pods, deployments, services, ingress controllers, and scaling mechanisms. Ensures compliance with industry standards when deploying applications on the platform. Implements security best practices within the OpenShift environment, including role-based access control and image scanning. Utilizes DevOps tools such as Jenkins, Teamcity, GitHub, and Ansible to manage application deployments. Leads platforms enhancement activities - by performing automation of the processes using Python, Javascript. Provides guidance and support to development teams in adopting Kubernetes best practices and utilizing the Kubernetes platform effectively. Resolves production incidents quickly while maintaining service level agreements. Provides on-call coverage to support major activities and events. Coordinates with application dev teams, vendors, and business, as necessary. Support release deployments and collaborate with application teams to deliver data quality and governance objectives. Required Skills IBM BPM/ODM experience WebSphere experience Scripting skills, one or more of the following (Bash, Ksh, perl, python) OS knowledge (Linux (CentOS RedHat), Windows) File transfer components and protocols SVN, GIT, BitBucket (version control systems) Kubernetes, Openshift experience Teamcity/Jenkins experience Distributed DB2 LUW The pay range for this role is * - per annum including any bonuses or variable pay. * also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate. * is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at *.

Job DescriptionJob Title: Android Developer Location: Whippany NJ Duration: Contract • We are looking for an experienced Android Developer to build and maintain high-quality native Android applications.Required Skills:, • Strong Kotlin/Java and Android SDK experience., • Hands-on experience with Jetpack Compose, MVVM, and Clean Architecture., • Experience with ViewModel, LiveData, Room, Retrofit, REST/GraphQL APIs., • Experience with JUnit, Mockito/Espresso for testing., • Knowledge of Jenkins, Gradle, CI/CD, Git, and Agile/Scrum., • Strong debugging, problem-solving, and communication skills.

Job DescriptionRole:-Onsite Lead Location:-New Jersey, Iselin(Oniste ole) JD: Responsibilities Solution Design, implementation, and application team alignment. Technical ownership of upgrade approach, standards, quality, and reusable automation patterns. Validate upgraded applications through available automated tests and coordinate test evidence. Define standard upgrade patterns for supported technology stacks Review dependency upgrade recommendations and approve upgrade strategy Guide upgrade engineers on complex failure analysis Establish version upgrade rules, compatibility checks, rollback guidance, and branch/PR practices Review pull requests, build failures, test results, and technical handover notes Maintain upgrade playbooks and reusable templates Ensure upgrades follow security, quality, and engineering standards Support technical triage with application teams when pipeline failures occur Skills Strong client-facing and communication skills Strong hands-on experience with one or more major technology ecosystems: Java/Maven/Gradle/Spring Boot Node.js/npm/yarn/pnpm .NET/NuGet Python/pip/Poetry Container images and base image upgrades Strong understanding of application development lifecycle, dependency upgrades, CI/CD pipelines, and release processes. Experience with tools such as Dependabot, Renovate, Snyk, Black Duck, Sonatype Nexus IQ, Mend, OWASP Dependency-Check, or equivalent The pay range for this role is *- * per annum including any bonuses or variable pay. * also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate. * is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at *.

Job DescriptionJob Description: As a Cloud Engineer, you’ll be an integral part of our global team of Cloud Engineers to help manage client & internal environments hosted in AWS for our enterprise-grade applications in the Corporate Actions & Custody domain. The team is responsible for all the infrastructure and automation required to support continuous integration and continuous delivery both for client cloud (UAT and Production) environments and internal environments We foster an open, inclusive environment where all perspectives are valued. Our team is focused on driving innovation, leveraging cutting-edge AI technologies, and maximizing engineering efficiency. We prioritize clean architecture, real-time performance, and data quality. Core Technical Qualifications: • Good knowledge of UNIX/Linux systems and technologies – including shell scripting, OS configuration and troubleshooting, • Good knowledge of the Java eco system running of Springboot, • Understanding of messaging-oriented middleware especially JMS (e.g. IBM MQ, Active MQ), • Hands on experience of working in the AWS cloud, • Knowledge of AWS Cloud formation/Azure DevOps/Terraform and Experience with configuration and deployment management in a scripting language, • Experience of supporting a high uptime/high availability system, • Understanding of Continuous Integration and Continuous Delivery, concepts and tooling, • Prior experience of Incident Management/Ticketing Systems (e.g. Jira, ServiceNow) and workflows, • Experience in source control systems (e.g. GITHub) – branching, hook scripting, access control, backup & recovery, • Good knowledge of cloud computing concepts, • AI & Productivity Tooling (Modern Skills):, • Good knowledge of GenAI tools, • Familiarity with prompt engineering or using AI to automate documentation, scripting, monitoring, • Experience using AI to accelerate DevOps, CI/CD pipelines, or observability tooling is a major advantage., • Additional Preferred Qualifications:, • Proven experience in monitoring, analysing, and optimizing large-scale distributed systems in a cloud environment., • Strong scripting and automation skills (PowerShell, Bash, Python) — bonus if paired with AI-based infrastructure tools., • AWS certification or similar credentials are a plus., • Experience with observability and monitoring platforms (e.g. Splunk, Datadog)Soft Skills:, • Strong problem-solving skills with a growth mindset and openness to AI-powered innovation., • Excellent communication and cross-functional collaboration abilities., • Capable of managing priorities and meeting deadlines in a fast-paced, continuously evolving environment., • Occasional outside support hours will be required as part of an on-call rota to provide 24/7 cover, • Action Managed Services requests within defined SLAs, • Be familiar with operating in a challenging environment supported from different locations and should also have a strong appreciation of Development processes, tool sets and delivery infrastructure, and be comfortable working with multiple differing systems and tools.Education & Experience:, • Bachelor’s degree in computer science, preferably engineering graduate or equivalent, • 7 to 10 years of experience as a cloud engineer.#LI-NorthAmerica About NTT DATA: NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Job Description We are seeking a highly skilled and experienced Consultant NodeJS with AWS (cloud) to join our team. The ideal candidate will have a minimum of 8 years of professional experience as an UI Developer and experience in Java Backend +Node JS +AWS or Fullstack + Node JS + AWS kind of profiles. As a Consultant NodeJS with AWS (cloud), you will be responsible for developing, implementing, and maintaining software solutions using NodeJS and AWS cloud technologies. You will work on a variety of projects and collaborate with cross-functional teams to design and develop high-quality software solutions that meet the needs of our clients. Essential Skills: • Minimum 8 years of professional experience as an UI Developer, • Strong experience with NodeJS, ReactJS and ExpressJS, • Proficient in programming language: Python or Java, • Experience with other Java technologies such as JSF framework, AJAX, Spring application framework, Hibernate object/relational persistence, JavaScript, HTML 5, and CSS 3, • Unix shell scripting is preferred, • Ability to work in Agile sprint teams, • Strong experience with AWS technologies including AWS CodeBuild, AWS CodeCommit, AWS CodePipeline, AWS Lambda, API Gateway, AWS CLI/Yaml/CloudFormation, and Serverless Deployment If you possess the required skills and experience for this role, we would love to hear from you. We offer a competitive salary, comprehensive benefits package, and opportunities for growth and advancement within our organization. To apply, please submit your resume and cover letter detailing your experience and qualifications for this position.

Job Description Mobile Test Engineer Job Description (JD) Job Title Mobile Test Engineer Job Summary We are seeking a skilled Mobile Test Engineer to ensure the quality, performance, usability, and security of Android and iOS mobile applications. The ideal candidate should have experience in manual and automation testing, mobile testing tools such as Appium, API testing, performance testing, and CI/CD integration. The role involves validating mobile applications across multiple devices, operating systems, and network conditions. Key Responsibilities • Design, develop, and execute test plans and test cases for mobile applications., • Perform manual and automated testing for Android and iOS applications., • Develop and maintain mobile automation frameworks using Appium., • Validate application functionality, usability, compatibility, performance, and security., • Test application behavior across multiple devices, OS versions, and screen sizes., • Execute regression, smoke, sanity, integration, and end-to-end testing., • Perform API testing using Postman or REST Assured., • Identify, report, and track defects using defect management tools., • Integrate mobile automation with CI/CD pipelines., • Collaborate with developers, product managers, QA teams, and DevOps engineers., • Prepare test reports and maintain testing documentation. Required Skills Mobile Testing, • Android Testing, • iOS Testing, • Mobile Application Testing, • Functional Testing, • Regression Testing, • Smoke Testing, • Sanity Testing, • Compatibility Testing, • Installation & Upgrade Testing, • Localization Testing, • Accessibility Testing, • Network Interruption Testing, • Push Notification Testing Mobile Automation, • Appium, • Espresso (Android), • XCUITest (iOS), • Selenium WebDriver (Hybrid Apps) Programming Languages: • Java, • Python, • JavaScript, • C# Automation Frameworks: • TestNG, • JUnit, • PyTest, • Cucumber (BDD) Framework Design: • Page Object Model (POM), • Data-Driven Framework, • Hybrid Framework Mobile Platforms Android, • Android Studio, • ADB (Android Debug Bridge), • APK Installation, • Logcat, • Emulator Testing iOS, • Xcode, • Simulator, • IPA Installation, • TestFlight, • iOS Provisioning API Testing, • REST API Testing, • Postman, • REST Assured, • JSON Validation, • XML Validation Database Testing, • SQL, • MySQL, • PostgreSQL, • Oracle, • SQL Server Knowledge of: • CRUD Operations, • Data Validation, • SQL Joins CI/CD & DevOps, • Jenkins, • Git, • GitHub, • GitLab, • Azure DevOps, • Maven, • Gradle, • Docker Responsibilities: • Integrate Appium automation into CI/CD pipelines., • Schedule automated mobile regression testing., • Publish automation reports. Cloud Device Testing Experience with: • BrowserStack, • Sauce Labs, • LambdaTest, • Firebase Test Lab, • AWS Device Farm Performance Testing Preferred knowledge of: • JMeter, • Android Profiler, • Xcode Instruments, • Battery Usage Analysis, • Memory Leak Detection, • CPU Usage Monitoring Security Testing Basic understanding of: • OWASP Mobile Security, • Authentication Testing, • Data Encryption, • Secure Storage Validation, • Certificate Pinning Reporting & Defect Management Tools: • JIRA, • Azure DevOps, • Bugzilla, • ALM/Quality Center Reporting: • Extent Reports, • Allure Reports, • TestNG Reports Preferred Qualifications, • Bachelor's degree in Computer Science, Engineering, or related field., • 2 6 years of experience in mobile application testing., • Experience in both Android and iOS platforms., • Strong knowledge of Agile/Scrum methodologies., • Experience in mobile automation using Appium. Nice to Have Skills, • Flutter app testing, • React Native testing, • Kotlin basics, • Swift basics, • Performance testing using JMeter, • API Automation, • Playwright or Selenium, • Firebase, • Mobile Analytics, • AI-assisted testing tools Sample Project Responsibilities, • Automate Android and iOS application testing using Appium., • Validate mobile application functionality across different devices and OS versions., • Perform API validation for mobile backend services., • Execute regression suites in Jenkins., • Verify push notifications, offline mode, and network switching scenarios., • Test application installation, upgrades, and uninstallation., • Perform performance and battery usage testing. Sample Mobile Automation Framework Framework Components, • Appium Mobile automation, • Java Programming language, • TestNG Test execution, • Maven Build management, • Page Object Model (POM) Maintainable page classes, • Extent Reports Test reporting, • Log4j Logging, • Git Version control, • Jenkins CI/CD integration Execution Flow, • Jenkins triggers the automation suite., • Maven downloads dependencies., • TestNG executes Appium test cases., • Appium communicates with Android/iOS devices or emulators., • Test scripts validate UI and functionality., • Reports are generated and published., • Results are shared with the QA team. Interview Questions Mobile Testing, • What is mobile application testing?, • Explain the difference between Android and iOS testing., • What types of mobile testing have you performed?, • How do you test an application on multiple devices? Appium, • What is Appium?, • Explain the Appium architecture., • What are Desired Capabilities?, • How do you locate mobile elements?, • What is the difference between native, hybrid, and mobile web applications? Automation, • Explain your Appium automation framework., • How do you handle synchronization in mobile automation?, • How do you execute Appium tests in parallel? API & Database, • How do you validate mobile backend APIs?, • How do you perform database validation? CI/CD, • How do you integrate Appium automation with Jenkins?, • How do you execute mobile automation in a CI/CD pipeline? Scenario-Based, • How do you test push notifications?, • How do you test offline mode and network interruptions?, • How do you automate OTP verification in a mobile application?, • How do you test an application across different screen sizes and OS versions? Key Skills for Resume, • Mobile Testing, • Android Testing, • iOS Testing, • Appium, • Espresso, • XCUITest, • Java, • TestNG, • Selenium, • REST API Testing, • Postman, • SQL, • Jenkins, • Git, • Maven, • BrowserStack, • Firebase Test Lab, • AWS Device Farm, • JIRA, • Agile Testing, • Performance Testing, • Mobile Automation Framework, • CI/CD

Job Description Job Description: The Principle Engineer, Middleware plays a critical role in maintaining Hedge SERV’s middleware and application-stack engineering and operations functions. This includes the development, maintenance, and enhancement of both the tech stack and the operations technologies that facilitate their management. The position will reflect a combination of technology engineering and administration, process management, and the administration / use of related tool sets. The position reports to the Director, Application Engineering Services, based in NY. The successful candidate will be a skilled engineer that knows how to execute and innovate in a modern, dynamic, and fast paced environment. Responsibilities: • Engineer solutions that enable compliance and effective operational practices without introducing material operational friction, • Must be conversant with a tech stack composed of Python, Java, Citrix XA, Citrix NetScaler, NGINX and Redis, • Design and deploy systems with various modern HA methods, strong focus on deprecating legacy HA methods such as OS clustering and active / passive, with a move toward cloud enablement (stateless systems, horizontal scaling, etc.), • Be responsible for engineering and administration of all systems above the OS and below the load balancers., • Collaborate with platform, network, and release automation teams to build effective and efficient operations framework, • Work well in a team setting, leverage influence, and embrace a focus on outcomes, • Requirements:, • Expertise in middleware MQ’s, Consul and Rabbit, • Proficient in scripting languages, such as Bash / Python / Ruby / PowerShell, • Expertise in CentOS, Ubuntu and other Linux Operating Systems, • Experience with Docker, Kubernetes, • Experience with NGINX, Redis, Tomcat, • Experience with Cloud technologies - VMware., • Experience with Chef or equivalent configuration management tool is a plus, • Experience with building, monitoring, and alerting on logs and metrics, and triggering actions based on them, • Experience with Citrix hosted applications, along with Tomcat / Java, and Python services a plus, • Working knowledge of Citrix XA server management and Citrix NetScaler configuration a plus, • Working knowledge of Microsoft Windows 2008 / 2012 /2016 Benefits:, • Attractive compensation package including extensive set of benefits., • Professional environment with great development opportunities., • Flexibility in working hours., • Brand new office in the heart of New York.

Job DescriptionJob Title: Production Support Engineer / Application Support Analyst Job Location: Jersey City, NJ Onsite Duration: Contract Description Client is seeking an experienced Production Support Engineer / Application Support Analyst to support critical enterprise applications and operational dashboards. The role requires strong production troubleshooting, application monitoring, incident management, and collaboration across technology and business teams. Key Responsibilities • Monitor applications, dashboards, system health, and performance in production., • Perform incident triage, troubleshooting, escalation, and resolution., • Analyze application logs and use SQL/PL-SQL for data validation and troubleshooting., • Support batch jobs, including failures, reruns, scheduling, and dependencies., • Troubleshoot Java applications and interpret logs/stack traces., • Coordinate with development, infrastructure, database, and business teams., • Perform Root Cause Analysis (RCA) and participate in post-incident reviews., • Create and maintain runbooks, SOPs, and knowledge documentation., • Support continuous improvement of monitoring and production support processes. Required Skills • Production/Application Support, • Java, • SQL / PL-SQL, • Debugging & Log Analysis, • Incident Management, • Batch Job Monitoring, • Root Cause Analysis (RCA), • Dashboard & Service Health Monitoring Good to Have • SOAP Web Services, • Monitoring and Alerting Tools, • Change & Release Management, • Runbooks / SOP Documentation, • Post-Incident Reviews Ideal Candidate A technically hands-on production support professional with strong Java, SQL/PL-SQL, troubleshooting, incident management, and application monitoring experience who can work effectively in a fast-paced production environment.

Job Description Job Title: QA Engineer (Karate Automation) Location: Jersey City, NJ (Hybrid/Onsite) Duration: Long-Term Contract Job Description We are seeking an experienced QA Engineer with strong expertise in Karate Automation Testing to join our team. The ideal candidate will be responsible for designing, developing, and executing automated test solutions for API and web applications while ensuring high-quality software delivery. Required Skills: • 5 years of experience in Software Quality Assurance., • Strong hands-on experience with Karate Framework for API automation testing., • Experience in API testing using REST and SOAP services., • Strong knowledge of Java, Maven, and Test Automation frameworks., • Experience with BDD (Behavior-Driven Development) concepts., • Expertise in creating and maintaining automated test scripts., • Experience with Postman, Swagger, and API validation., • Knowledge of SQL and database testing., • Experience with Jenkins, Git, and CI/CD pipelines., • Strong understanding of SDLC, STLC, Agile, and Scrum methodologies., • Excellent debugging, analytical, and problem-solving skills.

Job Description Role Overview JPMorgan Chase is seeking a Production Support professional to support critical applications and operational dashboards. This role focuses on day-to-day application health monitoring, dashboard checks, high-level incident triage and resolution, and coordination across multiple technology and business partners. The ideal candidate is technically hands-on, comfortable troubleshooting in real time, and experienced in supporting production environments. Key Responsibilities • Perform daily production support activities, including dashboard monitoring, application checks, and service health verification., • Monitor system performance and availability; identify anomalies and initiate investigation and remediation., • Provide high-level issue triage and resolution, including incident ownership, impact assessment, and escalation when needed., • Troubleshoot and debug application issues using logs, SQL queries, and root cause investigation techniques., • Support and monitor batch processing, including scheduling, failures, reruns, reconciliation, and dependency checks., • Collaborate with multiple teams such as developers, infrastructure, database teams, upstream/downstream application teams, and business stakeholders to drive issue resolution and communication., • Create and maintain runbooks, SOPs, and knowledge articles; contribute to continuous improvement of monitoring and support processes., • Participate in post-incident reviews to document root causes, corrective actions, and preventive measures. Required Qualifications Experience • Experience in production support, application support, or operational support for enterprise systems. Technical Skills Working knowledge of: • Java o Application-level understanding o Ability to debug and interpret stack traces and logs • PL/SQL / SQL o Querying databases o Troubleshooting data issues o Validating results • SOAP Services o Understanding request/response patterns o Knowledge of common failure scenarios • Batch Processes o Monitoring and diagnosing failures o Understanding job dependencies • Debugging and Log Analysis o Production environment troubleshooting o Root cause identification Incident Management • Strong incident management skills., • Prioritization and ownership mindset., • Structured troubleshooting approach., • Clear stakeholder communication. Preferred Qualifications • Experience supporting systems with strict uptime and availability requirements., • Familiarity with monitoring and alerting practices, including dashboards, alerts, health checks, and operational metrics., • Experience with root cause analysis (RCA) methodologies and post-incident documentation., • Understanding of change management and release support within production environments., • Ability to work effectively with multiple teams and partners in a fast-paced environment. Soft Skills • Strong written and verbal communication skills, including timely status updates during incidents., • Detail-oriented with a focus on operational excellence and risk reduction., • Comfortable working under pressure and handling multiple concurrent issues. Must Have • Production/Application Support, • Java, • SQL / PL-SQL, • Debugging & Log Analysis, • Incident Management, • Batch Job Monitoring, • Root Cause Analysis (RCA), • Service Health Monitoring, • Dashboard Monitoring Good to Have • SOAP Web Services, • Change & Release Management, • Monitoring Tools, • Runbooks/SOP Documentation, • Post-Incident Reviews

Job Description Android DeveloperJob Title Android Developer Job Summary We are seeking a skilled Android Developer to design, develop, test, and maintain high-quality Android applications. The ideal candidate will have hands-on experience with modern Android development technologies, strong knowledge of mobile architecture, and a passion for creating intuitive, secure, and high-performance applications. You will collaborate with product managers, UI/UX designers, backend developers, and QA teams to deliver scalable mobile solutions. Key Responsibilities Design, develop, test, and maintain Android applications using Kotlin and Java. Build responsive, user-friendly, and high-performance mobile applications following Android development best practices. Integrate RESTful APIs, third-party SDKs, and cloud services into Android applications. Implement modern Android architecture patterns such as MVVM, Clean Architecture, and Repository Pattern. Develop reusable, maintainable, and well-documented code. Optimize application performance, memory usage, battery consumption, and security. Debug, troubleshoot, and resolve application issues across different Android devices and OS versions. Collaborate with UI/UX designers, backend developers, QA engineers, and product teams throughout the software development lifecycle. Write unit tests and participate in code reviews to maintain high code quality. Publish, monitor, and maintain applications on the Google Play Store. Stay updated with the latest Android SDK features, Jetpack libraries, and mobile development trends. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field (or equivalent practical experience). 2–5 years of experience in Android application development. Strong proficiency in Kotlin and Java. Experience with Android SDK and Jetpack libraries. Solid understanding of Android application lifecycle and UI development. Experience with REST APIs, JSON parsing, and third-party library integration. Familiarity with SQLite, Room Database, and local data storage. Knowledge of version control systems such as Git. Understanding of Android security best practices and secure coding principles. Preferred Qualifications Experience with Jetpack Compose for modern Android UI development. Familiarity with Coroutines, Flow, LiveData, and Dependency Injection (Hilt or Dagger). Experience with Firebase services such as Authentication, Firestore, Cloud Messaging, Analytics, and Crashlytics. Knowledge of Retrofit, OkHttp, WorkManager, and Navigation Component. Experience with CI/CD pipelines and automated testing. Published Android applications on the Google Play Store. Technical Skills Kotlin Java Android SDK Jetpack Compose Jetpack Libraries MVVM Clean Architecture Coroutines Flow LiveData Room Database Retrofit OkHttp Hilt / Dagger Firebase SQLite REST APIs Git Android Studio Gradle Soft Skills Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Attention to detail and commitment to writing high-quality code. Ability to work in Agile development environments. Continuous learning mindset and passion for mobile technologies. Nice to Have Experience with AI-powered Android applications or Generative AI integrations. Knowledge of Google Maps API, CameraX, Bluetooth, NFC, or location-based services. Familiarity with accessibility guidelines and Material Design 3. Experience with performance profiling and app optimization tools. Contributions to open-source Android projects or technical communities. Benefits Competitive salary and performance-based incentives. Health and wellness benefits. Flexible or hybrid work arrangements. Learning, certification, and conference sponsorship opportunities. Opportunity to work on innovative Android applications using modern technologies. Collaborative and growth-oriented work environment.

Job Description Security Test Engineer Job Description Job Title Security Test Engineer / Application Security Test Engineer Job Summary We are looking for a Security Test Engineer to identify, validate, and report security vulnerabilities in web applications, APIs, mobile applications, and enterprise systems. The role involves security testing throughout the SDLC and working with development, QA, DevOps, and security teams to improve application security. Key Responsibilities • Analyze requirements and identify security testing scenarios., • Create security test plans, test cases, and test data., • Perform Web Application Security Testing., • Perform API Security Testing., • Perform mobile application security testing when required., • Identify vulnerabilities such as:, • SQL Injection, • Cross-Site Scripting (XSS), • Cross-Site Request Forgery (CSRF), • Broken Authentication, • Broken Authorization, • IDOR, • Session management issues, • Security misconfiguration, • Sensitive data exposure, • File-upload vulnerabilities, • Perform authentication and authorization testing., • Validate role-based access control (RBAC)., • Test JWT, OAuth, cookies, sessions, and access tokens., • Perform vulnerability scanning and security assessments., • Analyze application logs and security findings., • Reproduce and validate reported vulnerabilities., • Perform regression security testing after vulnerabilities are fixed., • Collaborate with developers to understand and remediate security defects., • Prepare security test reports and vulnerability documentation., • Participate in threat modeling and risk assessment., • Integrate security testing into CI/CD pipelines., • Track vulnerabilities using JIRA or security-management tools., • Follow OWASP and organizational security standards. Security Testing Areas 1. Authentication • Valid/invalid credentials, • Password policy, • Account lockout, • MFA, • Session timeout, • Password reset, • Token expiration 1. Authorization • Horizontal privilege escalation, • Vertical privilege escalation, • Role-based access, • Unauthorized API access, • IDOR 1. Input Validation • SQL Injection, • XSS, • Command injection, • Path traversal, • Malicious file uploads 1. API Security • Authentication, • Authorization, • Token validation, • Rate limiting, • Input validation, • Sensitive information exposure, • API abuse scenarios Tools Common tools include: • Burp Suite, • OWASP ZAP, • Postman, • Nessus, • Nmap, • Wireshark, • Metasploit, • SonarQube, • Snyk, • Trivy, • Checkmarx, • Fortify Automation / Programming Knowledge of one or more: • Java, • Python, • JavaScript, • Selenium / Playwright, • REST Assured, • Bash/Shell scripting Security automation can include: CI/CD Security Scan Automated Security Tests Vulnerability Report Quality/Security Gate Deployment API & Database Skills • REST/SOAP APIs, • HTTP/HTTPS, • JSON/XML, • HTTP headers, • Cookies, • JWT, • OAuth 2.0, • SQL, • Database security basics DevSecOps Knowledge Good understanding of: • Secure SDLC, • CI/CD, • SAST, • DAST, • SCA, • Container security, • Dependency vulnerability scanning, • Secrets scanning, • Security gates, • Docker/Kubernetes security basics Certifications Good to Have, • Security, • CEH, • eJPT, • OSCP advanced penetration testing, • CISSP generally for experienced security professionals Experience Experience Typical Role 0 2 years Junior Security Test Engineer 2 5 years Security Test Engineer 5 8 years Senior Security Test Engineer 8 years Security Testing Lead / Security Architect Resume Keywords Security Testing | Application Security | Web Security | API Security | OWASP | OWASP Top 10 | Burp Suite | OWASP ZAP | SQL Injection | XSS | CSRF | IDOR | Authentication | Authorization | JWT | OAuth | SAST | DAST | SCA | DevSecOps | CI/CD | Vulnerability Assessment | Penetration Testing | REST API | Postman | Python | Java | Git | Jenkins

Job DescriptionOur client is seeking an experienced Integration Developer Lead to architect and deliver enterprise integration solutions across 15–20 business-critical platforms in a retail energy environment. This role offers the opportunity to establish integration standards, lead cloud-native Azure solutions, and mentor technical teams while driving modernization and engineering excellence. Responsibilities & Qualifications • Lead design and delivery of enterprise integration architecture across 15–20 business-critical platforms, ensuring scalability, resilience, and high performance, • Establish reusable API, messaging, and integration standards and drive governance across integration teams, • Design and implement Azure Integration Services including API Management, Azure Service Bus, and Azure Data Factory for event-driven architecture patterns, • Design secure, cloud-native integration solutions leveraging Azure AD, Key Vault, and RBAC, • Collaborate with cross-functional technology and business stakeholders to align integration strategies with business objectives, • Provide technical leadership, mentorship, and design governance to integration teams, fostering engineering excellence, • Drive delivery quality on modernization initiatives and ensure cloud-native best practices are embedded throughout solution design Requirements • 8–10 years of experience in enterprise integration architecture and cloud platform development, • Expert-level proficiency in Azure Integration Services, API Management, Azure Service Bus, and Azure Data Factory, • Strong hands-on experience with Java Spring Boot, RESTful APIs, and event-driven architecture patterns, • Demonstrated expertise in enterprise messaging, cloud-native solutions, and integration design patterns, • Solid knowledge of Azure AD, Key Vault, and RBAC, • Proven ability to lead technical teams, mentor engineers, and establish architectural standards, • Strong collaboration and communication skills with the ability to influence cross-functional stakeholders

Job Description Position Summary We are seeking a Developer / Configuration Specialist with deep experience in Fidessa OMS/EMS/TMS platforms and a strong banking or capital markets background. This individual will support development, configuration, customization, implementation, testing, and integration efforts across Fidessa trading environments. Key Responsibilities • Design, develop, configure, and support Fidessa OMS/EMS/TMS solutions., • Participate in platform implementations, upgrades, migrations, and enhancements., • Build and maintain integrations between Fidessa and internal/external trading systems., • Configure trading workflows, routing logic, business rules, and system parameters., • Support FIX protocol connectivity and electronic trading initiatives., • Develop and maintain custom scripts, interfaces, and automation solutions., • Troubleshoot production issues and provide ongoing application support., • Partner with business analysts, traders, operations teams, and project managers to deliver solutions., • Participate in code reviews, testing efforts, and release management activities., • Ensure system performance, stability, and operational readiness. Required Qualifications • 5+ years of development and/or configuration experience within banking or capital markets., • Hands-on experience with Fidessa OMS, EMS, or TMS platforms., • Experience supporting Fidessa implementation, configuration, customization, or testing initiatives., • Strong understanding of order management, execution management, and trade workflows., • Experience with SQL and relational databases., • Strong troubleshooting and problem-solving skills., • Experience with system integration and data mapping., • Understanding of the software development lifecycle (SDLC). Preferred Qualifications • Experience with FIX Protocol and electronic trading platforms., • Knowledge of Java, Unix/Linux, Shell Scripting, Python, or other development technologies., • Experience with equities, fixed income, FX, or derivatives trading environments., • Agile development experience., • Experience supporting high-volume trading systems and mission-critical applications. Target Backgrounds: Fidessa Developer, Fidessa Configuration Specialist, Fidessa Consultant, Trading Systems Analyst, OMS/EMS Specialist, Capital Markets Technology Consultant, Electronic Trading Support Engineer, Front Office Technology Developer.

Job Description Job Description: Performance Test Engineer Job Title: Performance Test Engineer Experience: 3–6 Years Employment Type: Full-time Department: Quality Engineering / Performance Engineering Job Summary We are looking for a skilled Performance Test Engineer to evaluate the scalability, stability, responsiveness, and reliability of software applications under varying workloads. The ideal candidate should have hands-on experience with performance testing tools such as Apache JMeter, workload modeling, scripting, test execution, performance monitoring, and bottleneck analysis. The candidate will collaborate with development, DevOps, and infrastructure teams to ensure applications meet performance and scalability requirements. Roles and Responsibilities Design and execute performance test plans, scenarios, and workload models based on business requirements. Develop and maintain performance test scripts using Apache JMeter. Perform load, stress, spike, endurance, and scalability testing. Configure Thread Groups, Controllers, Timers, Assertions, and Listeners in JMeter. Implement parameterization and correlation to handle dynamic values, session IDs, authentication tokens, and other runtime data. Configure ramp-up periods, concurrent users, throughput targets, and pacing to simulate realistic user behavior. Analyze response times, throughput, error rates, concurrent users, and percentile metrics such as the 90th and 95th percentiles. Monitor application and infrastructure resources, including CPU, memory, database performance, and network utilization. Identify performance bottlenecks and collaborate with development and infrastructure teams to determine root causes. Execute performance tests for REST APIs, web applications, and distributed systems. Integrate performance tests into CI/CD pipelines using Jenkins or similar tools. Analyze test results using JMeter reports, dashboards, and monitoring tools. Prepare detailed performance test reports with observations, bottlenecks, and optimization recommendations. Validate application behavior under peak load and long-duration execution. Collaborate with developers, database administrators, DevOps engineers, and product teams to improve performance. Maintain reusable scripts, test data, workload profiles, and performance testing documentation. Required Technical Skills Performance Testing Tools: Apache JMeter, LoadRunner, or similar tools Testing Types: Load, Stress, Spike, Endurance, Scalability Testing Protocol Testing: HTTP/HTTPS, REST APIs, Web Services Scripting: Groovy, Java, JavaScript, or Python JMeter Components: Thread Groups, Controllers, Assertions, Timers, CSV Data Set Config, Regular Expression Extractor, JSON Extractor, and JSR223 Correlation and Parameterization: Dynamic token extraction, session handling, test data management Performance Metrics: Response time, throughput, latency, error rate, percentiles, and concurrent users Monitoring Tools: New Relic, Grafana, Prometheus, Dynatrace, or similar tools Database: SQL queries, query performance, database resource utilization CI/CD: Jenkins, GitHub Actions Version Control: Git, GitHub, Bitbucket Defect Tracking: Jira, Azure DevOps Preferred Skills Experience conducting performance tests for high-traffic applications and APIs. Knowledge of workload modeling, capacity planning, and performance baselining. Experience analyzing CPU, memory, garbage collection, database, and network bottlenecks. Familiarity with cloud-based performance testing environments. Experience with distributed load generation and non-GUI test execution. Knowledge of Docker, Kubernetes, and microservices architecture. Experience with application log analysis and production performance troubleshooting. Understanding of CI/CD quality gates and performance regression testing. Educational Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Relevant experience in performance testing, performance engineering, or quality assurance. Key Competencies Strong analytical and troubleshooting skills. Ability to interpret performance metrics and identify bottlenecks. Good understanding of application architecture and HTTP protocols. Strong communication and reporting skills. Ability to collaborate with cross-functional engineering teams. Focus on scalability, reliability, and continuous performance improvement. Key Skills for Naukri Performance Testing, Performance Test Engineer, Apache JMeter, Load Testing, Stress Testing, Spike Testing, Endurance Testing, API Performance Testing, Groovy, JSR223, Correlation, Parameterization, Response Time Analysis, Throughput, New Relic, Grafana, SQL, Jenkins, CI/CD, Performance Monitoring, Bottleneck Analysis, and Capacity Planning.

Job DescriptionLooking for a strong DevOps mid-level engineer with at least 8 to 10 years of experience and a solid understanding of cloud technologies such as AWS and Azure. Any cloud certifications are added. Along with core java skills added plus. Hybrid working style with 6 months of contract and extendable. Core Java developer with DevOps exposure or vice Versa … it is a mid-level Requirements: • Java, spring boot, hibernate, docker, and microservices.. Skill in multi-threading is required., • Hands-on in Amazon AWS or Microsoft Azure., • Hands-on in Terraform or equivalent is required.. exposure to all cloud concepts is needed. Job Responsibilities: • Analysis, requirements gathering, Java coding, Terraform coding, Jenkins scripting Any visa type is welcome and we can work on a C2C basis.

Job DescriptionRole Name: PTC Test Engineer Work Location: Cedar Rapids, IA (Onsite) Job Description Role Overview We are seeking an experienced PTC Test Engineer to join our team and focus on testing and validating software applications within the railway domain, specifically Positive Train Control (PTC) systems. The ideal candidate will have a strong background in software testing, hands-on experience with PTC applications, and excellent analytical, troubleshooting, and problem-solving skills. This position offers an opportunity to work on safety-critical railway systems and contribute to the development and delivery of innovative, reliable railway technology solutions. Key Responsibilities; • Develop and execute comprehensive test plans, test cases, and test scripts to ensure software quality and compliance with applicable industry standards and regulations., • Perform functional, integration, system, and regression testing of Positive Train Control (PTC) software applications., • Collaborate with cross-functional teams, including software development, systems engineering, and project management, to identify, investigate, and resolve software defects., • Participate in Agile/Scrum teams to support timely delivery of high-quality software solutions., • Work closely with stakeholders to understand business and technical requirements and develop test cases for new PTC features., • Analyze, troubleshoot, document, and track software defects through resolution., • Develop, execute, and maintain automated test scripts using Java, Python, or C++., • Prepare and maintain technical documentation, including test plans, test cases, execution results, defect reports, and test summary reports., • Support software release validation and regression testing., • Stay current with industry standards, safety regulations, and emerging technologies related to PTC and railway systems.Mandatory Skills & Qualifications:, • 6+ years of experience in software testing, including:, • Test planning and test case development, • Test execution and reporting, • Defect identification, tracking, and reporting, • Software release validation and regression testing, • 2+ years of hands-on experience with Positive Train Control (PTC) software applications., • Experience developing and maintaining automated test scripts using Java, Python, or C++., • Hands-on experience with the following tools:, • IBM Jazz, • Jenkins, • Git, • JIRA, • WinSCP, • PuTTY, • Wireshark, • Strong analytical, troubleshooting, and problem-solving abilities., • Ability to collaborate effectively with engineering and development teams.Additional Preferred Skills, • Experience working in the railway/rail transportation domain., • Good understanding of messaging and communication protocols., • Experience with hardware-level testing and firmware validation., • Working knowledge of Linux operating systems., • Experience installing and configuring software and firmware on hardware devices., • Experience testing fail-safe or other safety-critical systems., • Strong communication, documentation, and presentation skills. . “All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.”

Job Description Application Security Engineer ALPHARETTA OR NYC (2 roles) 12 months Department: Cloud Security & Developer Enablement, CDRR What You'll Do: Be part of a team of engineers to implement Brokerage specific security policies in the CI/CD security tools including but not limited to SAST, OSS and SCA applications. Work with Development, DevOps and Security teams to identify and develop automated security and compliance capabilities in support of DevSecOps processes. Define the security rules that needs to be adhered to at a code level in web and mobile applications written in .NET, Java, React, Python and other languages. With your development background and security knowledge, provide secure stable platform for enforcing application security controls. Support security standards, design & implement architectural patterns to increase the resiliency and scalability of security platform. Work with our partners to implement, manage, and optimize security measures within our GitHub repositories to continuously improve code integrity and protect against vulnerabilities. Required skillset: • Must have: 5 years software development experience using Python, • Working with APIs, including but not limited to ReST, • Unit testing frameworks, • Multi-process and multi-thread architecture, • Must have: 5 years in Linux, strong bash scripting skills., • Deep understanding of CI/CD pipelines, • Working knowledge of windows environment, simple scripting dos-batch etc., • Bachelor's degree with 10 years of work experience in the IT field, • Ability to process large datasets for reporting and analysis. Desired Skillset: A self-starter, with a strong desire for learning new technologies and applying them to solve problems Knowledge of SAST, OSS technologies Ability to perform Python code reviews with minimal assistance Expertise in monitoring, alerting, reporting, data analysis is desired. Experience with application build environments like Jenkins, GitHub Actions, Teamcity etc. DevOps container/orchestration tools (Kubernetes, Docker, Puppet, etc) is a plus Experience with evaluation, integration and onboard of security tools such as DAST, RASP, WAF, vulnerability scanner results, container analyzers, open source scanning is a plus

Job DescriptionDescription: Hybrid 4 days on site in either Jersey City, NJ or New York, NY Our client seeks an Angular developer to build and maintain modular, component-based front-end applications. The role will implement clean TypeScript, JavaScript, HTML, and CSS, integrate with REST APIs, and collaborate with UX, product, and backend teams. The developer will troubleshoot and resolve bugs, uphold coding standards, and contribute to DevOps and change management processes. The position requires experience with Angular v18+, Angular Material, Angular CDK, and charting libraries, with a focus on UI/UX principles and sustainable application practices. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $60.00 to $62.00/hr. w2 Responsibilities: • Develop Angular v18+ applications using TypeScript with clean, efficient JavaScript, HTML, and CSS., • Apply UI/UX design principles to deliver accessible and usable interfaces., • Coordinate with backend teams to integrate and validate REST API endpoints., • Collaborate with UX designers, project managers, and backend developers to deliver quality features., • Analyze, troubleshoot, and resolve debugging issues to maintain application sustainability., • Ensure code compliance with established company standards and best practices., • Create system configuration functions using a component-based architecture., • Perform bug triage and issue resolution in a timely manner., • Develop modularized or template-based implementations for maintainability., • Contribute to DevOps and change management workflows., • Work independently and lead work efforts when required., • Support legacy applications and remediate vulnerabilities. Experience Requirements:, • 3 to 5 years of professional experience with Angular, including v18+ and TypeScript., • Experience with Angular Material, Angular CDK, and charting libraries such as Highcharts., • Professional exposure to Java or Python and REST APIs preferred., • Proficiency in modern front-end development practices and debugging., • Experience working in hybrid on-site teams. Education Requirements:, • Bachelor’s degree.Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact fraud@eliassen.com. About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job DescriptionSenior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required. Key Responsibilities • Create reinforcement learning environments for software engineering tasks., • Design tasks involving bug fixing, feature development, refactoring, and performance optimization., • Build deterministic verification systems and golden reference solutions., • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively., • Develop realistic, reproducible software engineering scenarios., • Ensure tasks accurately measure coding ability, problem-solving, and tool usage., • Document solutions and provide clear technical feedback.Required Skills, • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript., • Strong understanding of algorithms and data structures., • Experience with bug fixing and debugging complex software issues., • Proven experience in feature implementation and codebase refactoring., • Strong knowledge of performance optimization and tuning., • Excellent written and verbal communication., • Strong attention to detail.Preferred Qualifications, • Experience working with large-scale or distributed codebases., • Familiarity with AI/ML systems is a plus but not required., • Experience with rigorous code reviews and software engineering best practices., • Experience working effectively in remote or cross-functional teams.Hiring Process, • Submit an application and screening questions., • Complete an AI interview (~30 minutes)., • Complete a technical assessment, if required., • Hiring Manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.

Job Description Required Technical Skills Mainframe & Terminal Emulation • 10+ years experience with:, • IBM 3270, • IBM 5250, • Terminal emulation platforms, • Deep understanding of:, • Host sessions, • Presentation spaces, • Screen attributes, • AID keys, • Keyboard mappings PCOMM Automation Strong experience in: • IBM Personal Communications (PCOMM), • EHLLAPI, • HACL, • COM Automation, • Session profile management, • File transfer configuration Programming Languages Advanced proficiency in: • VBA, • VBScript Preferred: • PowerShell, • Python, • C#, • Java

Job DescriptionJob Description: o Perform functional and automation testing for Capital Markets, ensuring quality, reliability, and performance. o Understanding of index methodologies, benchmark indices, and capital markets data, experience in validating index calculations, market data, reference data, and benchmark-related financial applications or similar capital markets platforms o Develop and maintain automation frameworks using Java or Python, and execute regression, API, and end-to-end testing. o Validate data using SQL, databases, ETL pipelines, and Data Services to ensure data accuracy and integrity. o Demonstrate AI fluency by leveraging AI-powered tools and Agentic AI/GenAI assistants to improve test design, test automation, defect analysis, root cause investigation, and overall QE productivity. o Work with market data, pricing, reference data, index calculation, or similar financial applications. o Experience testing high-volume, low-latency, real-time data platforms in Financial Services is highly preferred Responsibilities: o Develop and document application test plans and test cases based on software requirements and technical specifications o Evaluate requirements and define testing objectives and approaches while working in Agile methodology o Continuous review and improvement of the testing and quality assurance methodologies and measurement of these processes o Test and respond to Software Quality Assurance issues with related groups such as Development, Database, Integration, and Customer Support o Understand business model and customer needs and apply/modify QA techniques accordingly o Provide effective communication regarding issues, testing status and potential risks o Effectively interact with global customers, business users and IT staff o Manage, maintain QA environments along with build and deployments o Design and develop test automation solutions using Cucumber / Selenium, and other technologies determined to best suit our needs Qualifications: A Bachelor's degree in computer science, Information Systems or Engineering is required, or in lieu, a demonstrated equivalence in work experience o 8 years of experience in complete software testing activities. o Experience with Capital Market and FinTech is ideal o Experience with Index/Benchmarks, Asset Management, or Portfolio Investment modeling o Experience with Market Data such as Equity, Forex or Options asset classes preferred and will be given preference. o Hands on experience working with testing frameworks, Selenium web driver, Cucumber o Hands on experience with Object oriented language like Java or Python o Hands on experience with test frameworks like Carina, Karate would be plus o Knowledge of cloud technology (AWS preferred) o Experience in SQL a must. Knowledge of PL/SQL, No SQL DB, Linux/UNIX, Jenkins preferred o Experience in supporting test strategy activities, particularly in integration of multiple applications and systems o Experience in evaluating testing technologies , conducting test strategy design and test script code reviews o Demonstrated skill to proactively resolves issues and escalate appropriately o Experience in Gen-AI tools preferred. o Excellent communication skills are essential, with strong verbal and writing proficiencies o Excellent understanding of release testing, sign-off and deployment methods What are the top 3 skills required for this role? 1. Selenium, 2. Java, 3. SQL

Job Description • 7–9 years in IAM engineering, with 5–10+ years of SailPoint IdentityIQ development., • Strong proficiency in Java, BeanShell, XML, JSON, SQL, and REST API development., • Deep understanding of IIQ object model, connector frameworks, workflow engine, and plugin architecture., • Hands on experience architecting integrations between SailPoint IIQ and ServiceNow., • Strong knowledge of directory services, identity stores, and authentication protocols. Security & Governance • Expertise in identity governance concepts, RBAC/ABAC, SoD, and policy enforcement., • Familiarity with compliance frameworks (NIST)

Job Description Job Description: QA Automation Engineer Job Title: QA Automation Engineer Experience: 3–6 Years Employment Type: Full-time Department: Quality Assurance / Software Testing Job Summary We are looking for a skilled QA Automation Engineer with experience in automation and manual testing to ensure the quality, reliability, and performance of web applications and APIs. The candidate should have hands-on experience with Selenium WebDriver, Java, Playwright, API testing, and automation framework development. Roles and Responsibilities Design, develop, and maintain automated test scripts using Selenium WebDriver with Java and Playwright. Perform functional, regression, smoke, integration, and end-to-end testing. Create and maintain reusable automation frameworks using TestNG, Page Object Model (POM), and other design patterns. Execute manual testing for new features, enhancements, and bug fixes. Perform API testing using Postman, REST Assured, or similar tools. Validate REST APIs, HTTP status codes, request and response payloads, headers, and authentication. Integrate automated test scripts with CI/CD pipelines using Jenkins or GitHub Actions. Perform cross-browser testing and validate application compatibility. Identify, report, track, and verify defects using Jira or similar defect management tools. Execute performance and load testing using Apache JMeter. Analyze test execution reports, identify failures, and perform root cause analysis. Collaborate with developers, business analysts, and product teams to ensure quality throughout the software development lifecycle. Participate in Agile ceremonies, sprint planning, test reviews, and release activities. Maintain test documentation, test cases, test data, and automation execution reports. Required Technical Skills Automation Testing: Selenium WebDriver, Playwright Programming: Java, OOP concepts, Collections, Exception Handling Test Frameworks: TestNG, JUnit, Page Object Model API Testing: Postman, REST Assured, REST API validation Manual Testing: Functional, Regression, Smoke, Integration, and UAT Performance Testing: Apache JMeter, Load Testing, Stress Testing CI/CD Tools: Jenkins, GitHub Actions Version Control: Git, GitHub, Bitbucket Database Testing: SQL queries, joins, data validation Defect Management: Jira, Azure DevOps, or similar tools Methodologies: Agile, Scrum, SDLC, STLC Preferred Skills Experience with cloud-based testing platforms and cross-browser testing. Knowledge of Docker and containerized test execution. Experience using AI-powered coding assistants such as Cursor or Claude. Understanding of test automation best practices and framework optimization. Familiarity with basic security testing and accessibility testing. Experience analyzing application logs and troubleshooting test failures. Educational Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Relevant software testing certifications are an advantage. Key Competencies Strong analytical and problem-solving skills. Good communication and collaboration skills. Attention to detail and a quality-focused mindset. Ability to work independently and manage testing activities within sprint timelines. Willingness to learn new automation tools and technologies. Key skills for a Naukri job posting: QA Automation, Selenium WebDriver, Java, Playwright, TestNG, API Testing, REST Assured, Manual Testing, Regression Testing, JMeter, SQL, Jenkins, Git, Jira, and Agile.

Job DescriptionPay Rate: 135,000.00 to 145,000.00 per year Location: New York, NYResponsibilities: • Support ongoing production maintenance and phased rollout implementation of the HR, Benefits, and Timekeeping functions of HR/Payroll systems., • Responsible for the installation, maintenance, and configuration of Middleware infrastructure (IBM WebSphere, MQ, and Cognos)., • Support the infrastructure of critical citywide applications., • Function as one of the technical administrators for the group, work independently, and prioritize tasks to meet project deadlines.Requirements:, • A baccalaureate degree from an accredited college in computer science, engineering, or a related field and minimum 4 years of satisfactory full-time experience related to datacenter engineering and operations, cloud engineering and operations, complex IT infrastructure engineering; or,, • A baccalaureate degree from an accredited college and minimum 8 years of satisfactory full-time experience related to datacenter engineering and operations, cloud engineering and operations, complex IT infrastructure engineering; or,, • Equivalent education and/or experience as stated above.Preferred Skills:, • Minimum 5 years' experience in Middleware Administration, specifically in IBM WebSphere Application Server Traditional (tWAS) and WebSphere Liberty on Linux or UNIX-based platforms., • Experience managing WebSphere Liberty server configurations including server.xml, bootstrap.properties, and jvm.options., • Experience using Git for source control and configuration management., • Experience using Ansible for middleware administration, automation, configuration management, and application deployments., • Experience with Jenkins, CloudBees, or similar CI/CD tools is preferred., • Experience with Configuration as Code and DevOps methodologies is preferred., • Experience in administration of other associated middleware products like IBM MQ, IBM HTTP Server, IBM WebSphere Message Broker, Oracle WebLogic, Cognos., • Perform Middleware application upgrades and patch installations., • Experience in understanding and debugging Java errors., • Good understanding of relational database concepts and experience in SQL., • Excellent analytical and problem-solving skills., • Previous experience working with an enterprise-wide, large-scale environment., • Ability to support 24x7 and be able to work nights/weekends as required., • Ability to perform detailed Root Cause Analysis of problems., • Ability to plan, manage time according to schedules, and provide status updates when required., • Ability to work quickly to learn new applications and resolve issues., • Ability to clearly document and explain symptoms and solutions to complex problems., • Strong interpersonal skills and ability to work well in a team environment., • Ability to be self-motivated and find answers on his/her own., • Excellent communication skills (oral and written), interpersonal, and organizational skills are required.Benefits:, • The City of New York offers a comprehensive set of benefits and programs to employees, including health insurance, pension plan, Deferred Compensation Plan (with 457, 401K, and Roth IRA options), pre-tax Commuter Benefit program, pre-tax Flexible Spending Accounts programs, and more., • Additional benefits such as prescription drug coverage, dental benefits, vision care benefits, and more are also available through District Council 37 – Local 2627, the union that represents employees in this title.

Job Description We are looking for an experienced Application Security Engineer to take a hands-on role in improving security across a broad portfolio of web applications and APIs. This person will partner closely with software engineering teams to identify security weaknesses, determine which issues present meaningful risk, and drive remediation through completion. The role requires someone who can go beyond automated scanner results. You should be comfortable investigating findings, reproducing vulnerabilities, assessing exploitability and business impact, and providing developers with practical guidance on how to resolve issues. Strong AWS security experience is required. This is primarily an application and API security position rather than a traditional infrastructure or DevOps role. Responsibilities • Assess security across web applications, APIs, and supporting cloud environments., • Investigate and validate vulnerabilities identified through automated security tools, penetration testing, and internal assessments., • Manually reproduce potential vulnerabilities to determine exploitability and eliminate false positives., • Perform hands-on testing of APIs and applications, with particular attention to authentication, authorization, access controls, session management, injection, and business-logic weaknesses., • Evaluate issues such as IDOR/BOLA, privilege escalation, authorization bypasses, and other OWASP-related vulnerabilities., • Prioritize findings based on technical severity, exploitability, data exposure, and business impact., • Partner with development teams to provide practical remediation guidance and verify that fixes fully address identified vulnerabilities., • Conduct secure code reviews and participate in threat modeling for new applications, APIs, and features., • Manage and improve SAST and DAST capabilities, including tool configuration, tuning, quality gates, and false-positive reduction., • Incorporate application security testing into software development workflows and establish appropriate security gates., • Assess application risks associated with AWS services and configurations, including IAM, S3, Lambda, API Gateway, secrets management, and WAF., • Evaluate cloud-to-application attack paths and determine how AWS configurations may increase the impact of application vulnerabilities., • Identify recurring vulnerability patterns and recommend broader engineering or architectural improvements., • Track remediation progress and communicate vulnerability trends, risk, and security posture to engineering and security leadership., • Continuously identify opportunities to improve application security processes, tooling, and standards.Required Qualifications, • 5+ years of experience in application security, product security, penetration testing, vulnerability research, or a related security discipline., • Strong hands-on experience assessing web applications and APIs., • Deep understanding of the OWASP Top 10 and OWASP API Security Top 10., • Experience manually validating vulnerabilities rather than relying solely on automated scanner results., • Experience testing REST APIs; GraphQL security experience is beneficial., • Hands-on experience with Burp Suite or similar manual application security testing tools., • Experience operating and tuning SAST and DAST technologies., • Ability to read and review application code in at least one modern programming language such as Java, Python, JavaScript/TypeScript, or Go., • Strong working knowledge of AWS security, particularly IAM and application-related AWS services., • Experience with vulnerability management and cloud/application security platforms., • Ability to translate technical security findings into clear remediation recommendations., • Strong communication skills and the ability to influence engineering teams when security changes are required.Preferred Experience Experience with Wiz, Qualys, Snyk, SonarQube, or comparable cloud security, vulnerability management, SAST, and DAST technologies is preferred. Devsecops - JD-silversearch Additional experience with security automation/SOAR, automated or AI-assisted security testing, custom application security rules, threat modeling, and offensive security testing is beneficial. Certifications focused on AWS security or offensive/application security are also a plus.

Job DescriptionSR QA/SDET Test Engineer Location: Downtown Financial District Employment Type: 12 to 36 Month Contract Assignment Work Environment: Onsite Pay Rate: $80.00 to $108.00 US Citizens Only For Position (due to security clearance) No C2C or third-party candidates Position Overview We are seeking an experienced SR QA/SDET Test Engineer to design, develop, and implement automated testing solutions for enterprise applications and cloud-based data platforms. The ideal candidate will have strong hands-on experience with Java, Selenium, SQL, AWS, Databricks, and Spark, along with expertise in API testing, data validation, and CI/CD automation. This position focuses on ensuring the quality, performance, and reliability of applications and data pipelines within a modern AWS cloud environment. Key Responsibilities Design, develop, and maintain scalable, reusable test automation frameworks using Java and tools such as Selenium or Cypress. Develop automated test suites for application functionality, APIs, data pipelines, and system integration. Perform end-to-end data validation, including data ingestion, transformation, profiling, mapping, and reconciliation. Write complex SQL queries to validate data accuracy, completeness, and consistency across data warehouses and data lakes. Test cloud-based data processing workflows using AWS Glue, Databricks, Spark, and Athena. Perform API testing using REST services and tools such as Postman. Conduct performance and load testing using LoadRunner or similar tools. Design and manage test data, including data masking and scenario-based test data creation. Integrate automated testing into GitLab CI/CD pipelines to support continuous testing and DevOps practices. Troubleshoot complex application and data quality issues, perform root cause analysis, and document defects. Collaborate with developers, data engineers, and business stakeholders in an Agile environment to ensure high-quality releases. Required Qualifications Strong hands-on programming experience with Java for test automation. Experience developing automation frameworks using Selenium, Cypress, or comparable tools. Advanced SQL skills and strong understanding of relational databases, data models, and data validation. Experience testing ETL/ELT pipelines, data lakes, and data warehouse environments. Hands-on experience with AWS Glue, Databricks, Athena, and Apache Spark. Experience with AWS services including S3, Lambda, RDS, CloudWatch, and IAM. Strong understanding of data profiling, data mapping, data integration, and data quality testing. Experience with REST API testing and integration testing. Familiarity with performance testing tools such as LoadRunner. Experience working with GitLab, CI/CD pipelines, and DevOps methodologies. Strong analytical, debugging, problem-solving, and communication skills. Preferred Qualifications Python programming experience. Experience with Collibra Data Quality Platform. Hands-on experience with Postman. Experience building automated testing solutions for large-scale cloud data platforms. Bachelor's degree in Computer Science or a related technical discipline, with a Computer Science major preferred. Ideal Candidate A hands-on QA Automation Engineer who combines strong Java automation development with advanced SQL, AWS cloud services, and Databricks/Spark data testing. The ideal candidate has experience building automation frameworks from the ground up, validating complex data pipelines, and integrating automated testing into CI/CD processes while maintaining high standards for software quality, security, and performance.

Job Description Position: senior test engineer Days onsite: 2 days a week onsite Location: 95 christopher columbus Blvd in Jersey city, NJ or 1 World trade center in NYC. Contract: 3 months extendable Interview process: 1 and done but possibly 2 if everyone cant get on the call Testing Expertise: • Automation Testing : Strong experience in automated testing frameworks, • Microservices Testing :, • API-level testing for ~12 microservices, • Familiarity with RESTful interfaces (7018P), • UI Testing :, • Web front-end testing, • Tools: Selenium, Jasmine (mentioned), others welcome, • Regression Testing :, • Maintain and expand a large regression test suite, • Thousands of existing tests across services Frameworks & Tools • Cucumber :, • Heavy use of Groovy-based Cucumber (open to Java/Kotlin variants), • Will be building out cucumber-based regression and smoke test suites, • JMeter :, • Currently used for smoke/regression testing, • Limitations noted in integration and reporting, • Load Testing :, • Build from scratch a performance/load testing suite, • Simulate steady-state, batch, and spike scenarios, • Tools: JMeter, Gatling, or others welcome Responsibilities: • Take ownership of existing test suites and expand/optimize them, • Build new test frameworks (especially for load/performance), • Clean up and reorganize legacy cucumber tests, • Integrate test results with reporting frameworks (e.g., Scale), • Work independently with minimal hand-holding, • Collaborate with dev teams to understand service functionality and test coverage needs Candidate Profile: • Self-starter: Can jump in with minimal onboarding, • Testing "guru : Deep experience across UI, API, and performance testing, • Flexible with tech stack: Comfortable switching between Groovy, Java, Kotlin, etc., • Not necessarily a Java expert, but must understand service functionality and testing logic

Job DescriptionJob Description The Automation Software Engineer is responsible for the lifecycle of the middleware automation and corresponding test suites. The individual will be responsible for: • Creations and maintenance of automation playbooks, • Updating the test suite inputs with each new release and testing cycle, • Performing execution of the test suite, • Analysing the generated output for success, • Debugging and escalation any errors or bugs, • Running ah-hoc policy scans against resulting infrastructure and ensuring compliance, • Executing the test suite in our lower level environments to limit impact from changes in the environment Must Have Skills Primary Skills: Ansible Development, Test Automation, GIT/Bitbucket, Jenkins, Cucumber, Infrastructure as Code, Terraform Required Qualifications: Ansible, GIT/Bitbucket, Jenkins, Cucumber, Java, Splunk, Java Runtimes, JVM, Middleware Technologies, Terraform

Job Description Job Title: QA Engineer (Karate Automation) Location: Jersey City, NJ (Hybrid/Onsite) Duration: Long-Term Contract Job Description We are seeking an experienced QA Engineer with strong expertise in Karate Automation Testing to join our team. The ideal candidate will be responsible for designing, developing, and executing automated test solutions for API and web applications while ensuring high-quality software delivery. Required Skills: • 5 years of experience in Software Quality Assurance., • Strong hands-on experience with Karate Framework for API automation testing., • Experience in API testing using REST and SOAP services., • Strong knowledge of Java, Maven, and Test Automation frameworks., • Experience with BDD (Behavior-Driven Development) concepts., • Expertise in creating and maintaining automated test scripts., • Experience with Postman, Swagger, and API validation., • Knowledge of SQL and database testing., • Experience with Jenkins, Git, and CI/CD pipelines., • Strong understanding of SDLC, STLC, Agile, and Scrum methodologies., • Excellent debugging, analytical, and problem-solving skills.

Job Description Salesforce QA Automation Engineer (Contractor) Job Duration: 6 months Job Address: New York, NY 10285 Work Location Type: Hybrid ( 3 days a week) Mandatory Automation skills Java/Xpath/CSS Requirements: • Bachelor s degree in Computer Science, Engineering, or a related discipline., • 3 6 years of QA experience, with at least 2 years in Salesforce test automation., • Strong understanding of Salesforce, including the data model, Apex, LWC, Flows, and Process Builder., • Hands-on experience with automation tools such as Cucumber, Karate, Selenium WebDriver, or similar. Please prioritize recent hands-on experience with Selenium, Cucumber, and Playwright., • Proficiency in at least one programming language such as Java, JavaScript, or Python., • Experience testing Salesforce REST and SOAP APIs., • Familiarity with TestRail, Xray, or Salesforce test automation frameworks., • Working knowledge of Git, Jenkins, or other CI/CD tools., • Experience writing SOQL queries for test validation and troubleshooting., • Ability to read and debug Apex code and LWC is preferred but not mandatory., • Strong communication skills and a proactive, ownership-driven mindset. Nice to have: • Salesforce DX and scratch org workflows., • Performance or load testing experience., • Salesforce QA or Platform Developer certifications. Metasys Technologies/NVISH is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.

Job Description Job Title:Automation QA Engineer Work Location : Jersey City NJ 7305-- WFO mandatory 3 days a week Contract duration: 6 Months Job Details: Must Have Skills Java / Selenium / TestNG / SQL / API testing Detailed Job Description: Experience: 8 years in software testing 5 years of automation testing experience in Java-Selenium Automation, TestNG framework and Java coding/development Experience in API testing and Rest Assured test automation Hands-on experience in SQL testing and database validation Good in communication Exposure to AI tools Minimum years of experience: 8-10 years

Job Description UI/UX Developer Jersey City, NJ - hybrid 3 days onsite 12 months Role Objectives These roles will be part of the Data Strategy team spanning across the * Capital Markets and Nikko securities teams, * Americas Division's broker-dealer and swap-dealer entities. These roles will be involved in the active development of the data services UI in close coordination with the * team, beginning with the establishment of a reference data system for securities and pricing data, and later moving to other data domains. The consulting team will need to follow internal developments standards to contribute to the overall agenda of the Data Strategy team. The implementation of this strategic platform on *'s Azure Cloud Platform will require solutions and know-how as listed in the qualifications below. Qualifications: • Specialist UI/UX Developer preferably 10 years experience with React, Java Script, HTML, CSS and other related frameworks., • Integration experience with Restful and API endpoints., • Good knowledge of JSON, XML and SQL along with sound team play and collaboration and communication skills. Responsibilities:, • Creates user-friendly interfaces for web and mobile applications., • Design front-end layouts, enhance UX, implement visual and interactive elements. Skills:, • Skills in HTML, CSS, JavaScript, and frameworks like React or Angular. interfaces for web and mobile applications., • Design front-end layouts, enhance UX, implement visual and interactive elements., • Develop application features, fix bugs, collaborate with other developers and stakeholders. Role Description * is in the process of leading a Digital Transformation across our Americas Division as we continue to modernize our technology, focus on our data-driven approach, grow, and plan for the future. As a result of this expansion, we are seeking experienced software Data engineers spread across Charlotte (N.C), Jersey City (N.J) and India, with 10 years of relevant experience to support the design and development of a strategic data platform for * Capital Markets and Nikko Securities Group.

Job DescriptionPay Rate Range: $ 56.81 - 60.60/hr. Job Title: Vermilion Reporting Specialist Job Description Key Responsibilities: Platform Configuration: Implement, configure, and customize the Vermilion Reporting Suite (VRS) to meet specific client investment reporting needs. Technical Integration: Design and manage data interfaces between VRS and external sources (e.g., SQL Server, Oracle, Markit EDM, Aladdin, API/XML/JSON). Workflow Automation: Build, test, and maintain automated reporting workflows and batch processing. Report Development: Design high-quality, branded reports and templates (PDF, MS Office, HTML) for various asset classes. Testing & Troubleshooting: Conduct system testing, data validation, and troubleshooting to ensure accuracy and platform performsce. Required Technical & Professional Skills Domain Expertise: 8–10 years of experience in enterprise software implementation, specifically within financial services/asset management. Core Technical Skills: Strong SQL (MS SQL/Oracle), ETL processes, and database debugging skills. VRS Experience: Deep knowledge of Vermilion modules, APIs, and report design. Financial Knowledge: Understanding of performance measurement, client reporting, and portfolio data (Fixed Income, Equity, Derivatives). Soft Skills: Strong project management, communication, and stakeholder management skills. Additional Tools: Experiene in PowerBI Keyword: ~Java Developer~ Skills: PL/SQL Experience Required: 8-10 years Skills:CategoryNameRequiredImportanceExperienceSkillCategoryTest1_MNPL/SQLYes1>7 years