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Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Principal Software Engineer About Mastercard Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Role Overview As a Principal Engineer within the Decision Stream program, you will combine enterprise-scale technical leadership with hands-on engineering for the next-generation Decision Management Platform. This is not a strategy-only role. You will actively design, code, prototype, and validate core platform capabilities, using modern AI-assisted development tools as part of day-to-day software engineering to move faster, improve quality, and help teams adopt better ways of building. Key areas of focus include leveraging disruptive technologies in real-time AI inferencing and decisioning to improve product effectiveness, increase business delivery, strengthen technical resilience, and lower cost of ownership. You will work closely with technology executives, senior leaders, and engineers to shape the overall AI & DPE technology strategy. Key Responsibilities Platform & Product Development Build software, tooling, and platform capabilities. Design and implement large scale distributed systems. Develop reusable services, patterns, and integrations. Contribute to new product and prototype development from concept through validation. Evaluation & Technical Judgment Evaluate systems, frameworks, and tools across quality, cost, latency, scalability, reliability, and maintainability. Apply sound engineering judgment to trade-offs in distributed systems design and architecture. Developer Experience & Enablement Apply AI tools as part of daily engineering practice to real product and platform problems. Teach and model the adoption of AI-assisted development, modern languages, and current engineering practices. Improve developer experience through automation, AI-assisted workflows, and platform thinking. Advocate learnings, prototypes, and best practices across the organization. Customer Experience & Platform Strategy Own and improve end-to-end customer experience across a portfolio of services and applications. Simplify and optimize architecture strategies to balance cost, performance, and business value. Apply judgment and experience to make trade-offs between competing priorities and technical constraints. Thought Leadership & Influence Lead architectural design for complex, enterprise-wide initiatives spanning multiple services and programs. Drive organization-wide initiatives to advance software engineering craftsmanship and best pratices. Represent the organization through public speaking, technical blogs, and white papers on emerging technologies. Participate in Principle-level architecture reviews and resolve enterprise-wide technical and regulatory challenges. Talent & Culture Mentor engineers at all levels, fostering technical growth and leadership. Conduct technical interviews to raise the performance bar and attract top talent. Provide unbiased, accomplishment-based recommendations for promotions. Champion AI-assisted engineering as a default working practice and align it with organizational values. What We're Looking For You are an awesome engineer and leader who is passionate about joining a like-minded team at Mastercard AI & Decision Product Enablement. You thrive on solving complex engineering challenges at scale and have experience building high-speed streaming platforms or distributed systems at hyperscaler-level performance. AI-native engineer — uses AI-assisted development as default Innovation leader — builds systems at massive scale and availability Streaming-first mindset — experience with low-latency pipelines Proven outcomes — delivers impactful, production-ready systems Engineering culture champion — drives best practices and transparency Collaborative — works across engineering and data science teams Technical Domains Candidates are not expected to be expert in all areas but should demonstrate hands-on depth and expertise in one or more of the following: Decisioning Data & Feature Platforms Data architectures for decisioning: lakehouses, delta lakes, distributed logs, and product-aligned data models. Feature catalogs and engineering platforms for reusable, governed features that can be defined, discovered, validated, and served across batch and real-time decisioning. Decisioning data models covering events, derived features, reference data, labels, outcomes, and policy data consumed by rules, models, and agentic workflows. Data contracts, lineage, freshness, and quality controls that keep decisioning data trustworthy, explainable, and production ready. High-Throughput, Low-Latency & Real-Time Systems Event streaming and high-throughput data pipelines. Low-latency data technologies -distributed caches, in-memory data grids. Real-time transaction processing and sub-second decisioning. AI & ML Systems ML lifecycle engineering: model training, deployment, refresh, and low-latency inference. Agentic AI patterns, LLM integration, and prompt engineering applied to platform and product problems. Model observability, drift detection, and feedback loops that keep AI systems reliable in production. Decisioning Tooling & UX Authoring, testing, and deployment of business rules engine rules and similar decisioning logic. Tooling that helps authors validate rules, models, and policies pre-deployment. Operator experience for authors, analysts, and SREs: lifecycle, approvals, observability, and explainability of live decisions. Rules engine design and modernization. Cloud Infrastructure, Platform Engineering & DevOps AWS infrastructure engineering and cloud-native platform patterns. DevOps and platform engineering -automation, CI/CD, observability, GitOps. Requirements Extensive experience in software engineering and technical leadership Proven delivery of large-scale distributed systems Expertise in cloud, AI/data platforms, and modern engineering practices Strong communication and mentorship skills Bachelor’s degree (or equivalent); advanced degree preferred Telecommuting and/or working from home may be permissible pursuant to company policies. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard’s security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $170,000 - $281,000 USD

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: As a Lead Machine Learning Engineer in our Luxury Travel organization, you will architect the intelligent systems that power Capital One Travel's vision for the high-end market. You'll have the unique opportunity to transform complex data into bespoke, anticipatory experiences for our most discerning travelers. If you are a visionary technologist who thrives at the intersection of cutting-edge AI and human-centric design, and you're driven to redefine the gold standard of travel through innovation, this is the perfect role for you. What you’ll do in the role: 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: * 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 * 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) * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment * 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 * Retrain, maintain, and monitor models in production * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code * 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 * Use programming languages like Python, Scala, or Java Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. Chicago, IL: $179,400 - $204,700 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, 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).

Distinguished AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 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 * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer Richmond, VA: $244,700 - $279,200 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, 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 TITLE: DATA AUTOMATION ENGINEER JOB LOCATION: WASHINGTON DC (REMOTE) WAGE RANGE*: 75.00-79.00 PER HOUR JOB NUMBER: SAIJP00038797 JOB DESCRIPTION Data Automation Engineer to work with a team of subject matter experts and developers to design and implement innovative data automation solutions for Azure cloud-based data lake, SQL, and NoSQL platform. As a data automation engineer, you will translate business requirements to data engineering and AI based solutions to support an enterprise scale Microsoft Azure based data analytics and reporting platform. Our ideal candidate is mission focused and delivery oriented and applies critical thinking to create innovative functions and solve technical issues.Utilize Microsoft Azure services including Azure Data Factory, Synapse Pipelines, Apache Spark Notebooks, Python, SQL, stored procedures to develop high performing data pipelines. Not required, but additional education, certifications, and/or experience are a plus:Experience and/or certifications in Generative AI development, Generative AI for Data Analytics, and solution delivery. Microsoft certification in Azure fundamentals, data engineer, Power BI, AI or AWS certified data engineer. Integration knowledge using enterprise/open source ETL toolsets, REST API, Docker. Experience or exposure to performance fine tuning (indexing, execution plans, views), data profiling and query analytics. Knowledge of security compliance standards with data encryption, cloud virtual networks, routing, firewalls, log analytics, monitors Basic knowledge of ARM or Bicep templates for automation, familiarity with RBAC access controls. Data lineage and impact analysis using tools like Purview, Synapse pipeline tracing, et Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities * While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

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

This is hybrid commute, 2/3 days per week in the office. ** Must be authorized to work for ANY employer in US - NO H1 Visa support for this role Salary range 160 - 170K, plus around 15% bonus, plus great benefits package. Senior Python & Test Automation Engineer In this role you will be responsible for the design, development, automation, and support of applications and system components using Python, including but not limited to automation scripts, batch jobs, test automation frameworks, and backend processing components. The role requires full ownership of assigned applications and automation tasks across the SDLC, including development, unit testing, system testing, change management, production releases, and production support. A key expectation is a strong focus on automated testing (BDD), application performance, and system stability to ensure reliable and resilient Please email your resume or use this link to apply directly: Or email: Check ALL our Jobs: Keywords: python testing unit test bdd behave pytest-bdd Ci/CD sql rest api docker kubernetes openshift linux unix cloud azure

Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently, IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services and solutions across a wide variety of government agencies. Position Description: IDS is currently searching for a DevSecOps Engineer with deep expertise in AWS cloud infrastructure, containerization, and security automation. You will be responsible for architecting and implementing secure CI/CD pipelines, managing Kubernetes clusters, deploying infrastructure as code using Terraform/OpenTofu, and embedding security controls throughout the software development lifecycle. The ideal candidate is a proactive problem solver who balances security requirements with operational efficiency and development velocity. The candidate will have opportunities to expand their skill set by working with emerging security tools, implementing compliance-as-code frameworks, and collaborating across development, operations, and security teams to build resilient, secure systems Core DevOps Skills: 3+ years of experience in AWS cloud services (EC2, ECS/EKS, S3, Lambda, RDS, ALB, VPC, IAM) is required 3+ years of experience in Container technologies (Docker and/or Podman) is required 3+ years of experience in CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, or similar) is required 3+ years of experience in Git version control and branching strategies is required 2+ years of experience in Infrastructure as Code (Terraform and/or OpenTofu) is required 2+ years of experience in Kubernetes orchestration (deployment, scaling, monitoring, troubleshooting) is required 2+ years of experience in Configuration management (Ansible, Chef, or Puppet) is preferred 2+ years of experience in Monitoring and observability (Prometheus, Grafana, ELK stack, CloudWatch) is preferred Security Tools & Practices: 3+ years of experience in DevSecOps practices (security automation, shift-left security) is required 2+ years of experience in Container security scanning (Trivy, Aqua, Twistlock, Anchore, or similar) is required 2+ years of experience in Static/Dynamic Application Security Testing (SAST/DAST tools like SonarQube, Checkmarx, OWASP ZAP) is required 2+ years of experience in Integrating security gates into CI/CD pipelines is required 2+ years of experience in Secrets management (Vault, AWS Secrets Manager, or similar) is required 2+ years of experience in Vulnerability management and remediation workflows is required 1+ years of experience in Software Composition Analysis for dependency scanning (Trivy, Snyk, or similar) is preferred Compliance & Hardening: 2+ years of experience in Security compliance frameworks (NIST, STIG, CIS benchmarks, FedRAMP) is required 2+ years of experience in Security hardening and baseline configuration is required 2+ years of experience in Audit logging and security event monitoring is required Security Architecture: 2+ years of experience in Identity and Access Management (IAM policies, RBAC) is required 2+ years of experience in Network security (security groups, NACLs, WAF, network segmentation) is required 1+ years of experience in Certificate management and PKI is required 2+ years of experience in Security code review practices is preferred 2+ years of experience in Container and Kubernetes security (Pod Security Standards, Network Policies, image signing) is preferred Integration & Data Tools: 2+ years of experience in API gateway management is preferred 1+ years of experience in ETL platforms (Talend and/or Apigee) is preferred Scripting & Programming: 3+ years of experience in Scripting languages (Python, Bash, or Go) is required 3+ years of experience in YAML/JSON configuration is required Soft Skills: Must have security mindset and risk assessment thinking Must have strong problem-solving and troubleshooting abilities Must be able to balance security requirements with development velocity Cross-functional collaboration with development and operations teams is required Documentation and knowledge sharing is required Communication of security risks to technical and non-technical stakeholders is required Incident response and on-call readiness is required Staying current with emerging security threats and vulnerabilities is required Education & Certifications: This position requires a minimum of a Bachelor's degree from an accredited college or university in Engineering, Information Technology, Computer Science or related field is preferred. Experience in lieu of education may be considered if the individual has 4 or more years of equivalent technical training or work/military experience. Relevant certifications to include AWS Certified Solutions Architect, CKA, Terraform Associate are preferred Security certifications to include Security+, CISSP, CEH, or similar are highly desired Cloud security certifications to include AWS Security Specialty, Azure Security Engineer) are preferred Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to able to communicate accurate information and ideas so others will understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, etc. Security Clearance: Applicants selected for employment will be subject to a federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Active Secret clearance preferred; ability to obtain and maintain required clearance is mandatory. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $140,000 - $160,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant’s compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee’s start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses. IDS is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regards to age (40 and over), color, physical or mental disability, gender identity or expression, genetic information (including family medical history), national origin or ancestry, race, religion, sex, pregnancy (including childbirth and related medical conditions), sexual orientation, citizenship status, veteran status, uniformed service member status, or any other characteristic protected by federal, state, or local law. IDS participates in E-Verify. To learn more about E-Verify, including your rights and responsibilities, please visit . A submission of a resume is an expression of interest and not considered an application. For more information, visit . Disclaimer: This job description is intended to provide an overview of job responsibilities that are subject to change. U.S. citizenship is required; H1-B visas and other visas are not being sponsored. Relocation expenses are NOT compensated. All jobs are employer paid; no fees to candidates. Third parties or agency inquiries are not being accepted at this time. #IDS

CS/IT Graduates or About to be Grads. Get Hired by following a Process! Graduating with a CS degree is impressive — but it’s not enough anymore. Employers want hands‑on experience, real projects, and interview‑ready candidates. Getting hired in tech isn’t just about knowing how to code — it’s about proving you can deliver value from day one. Despite layoffs and market shifts, the tech industry still needs skilled developers. The challenge is proving you’re ready to contribute. A CS degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‑world scenarios. If you just graduated (or you’re about to) and the job search is already feeling confusing, you’re not imagining it. A degree proves you can learn—but employers hire for job readiness : projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That’s why many new grads send hundreds of applications and still hear nothing back. It’s not because you’re “not smart enough.” It’s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI —full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI —so you don’t graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn’t the number—it’s that results require a structured pathway , not random applications. Here’s a realistic way to think about your advantage as a fresh graduate: you’re early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of “entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers , Java full stack developers , Python/Java developers , DevOps-focused engineers , and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers . The strongest candidates aren’t “tool collectors”—they’re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn’t match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says “yes.” Who this path fits best If you’re a recent graduate, you’ll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor’s or Master’s programs who need a real hiring plan Candidates who apply consistently but don’t get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways , and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If you’re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer. If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don’t need “more random courses.” You need a guided, job-focused path and the right people around you. In tech, it’s not just what you learn—it’s how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume Resolve hardware, software and network problems Provide hardware / software technical support Providing software and hardware support to end users Provide technical hardware, software and network support to end users Assist in troubleshooting software application issues Provide technical support for both hardware and software issues users Perform software and hardware demos Maintaining inventory of hardware/software in the computer Troubleshoot all support issues for the company (hardware/software/network) Develop applications software and systems Inquire regarding computer software or hardware operations to resolve problems Supporting maintenance of system software and hardware components Determine computer problems and to coordinate hardware and/or software solutions Configure and upgrade computer hardware / software Plan software releases in accordance with other software applications Provide system level support to all personnel for all company computer software Provide user orientation on hardware, software and network operations Perform first-line troubleshooting on various hardware and software Provide user PC hardware/software phone support Provide computer support services both for hardware and software through company help desk system

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

Distinguished AI Engineer (Agentic AI Platform) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: * 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. * You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. * A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. * Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. * Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. * You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. * You’ll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs * Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications: * Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) * 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) * 8+ years of experience designing mission-critical machine learning platforms * 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Master's degree in Computer Science, Computer Engineering, or relevant technical field * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers * Experience leading GenAI or LLM-Powered application architectures in production * Deep understanding of Responsible AI, data privacy and multi-tenant security patterns * Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders * K8s mastery (multi-region clusters, sericie mesh) * Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, 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).

Vice President, Full-Stack Engineer At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Vice President, Full-Stack Engineer to join our Wealth Service Platform team. This role is located in New York, NY. In this role, you’ll make an impact in the following ways: • Lead the design, development, and deployment of full stack applications aligned with business needs., • Collaborate with cross-functional teams including product, operations, and security to deliver innovative solutions., • Drive best practices in coding, testing, and deployment to ensure high-quality software delivery., • Mentor and guide junior developers, fostering a culture of continuous learning and improvement., • Participate in architectural decisions and contribute to technology strategy., • Participating in code reviews and assisting in debugging efforts., • Ensure applications meet security, compliance, and performance standards., • Manage project timelines and deliverables, coordinating with stakeholders to meet business objectives., • Continuously contributing directly to the success of project deliverables. To be successful in this role, we’re seeking the following:, • Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred., • 7-9 years of experience in full stack software development required, • Extensive experience in full stack development with proficiency in modern front-end frameworks (e.g., Angular, React, Vue) and back-end technologies (e.g., Java, Spring Framework, Oracle, SQL)., • Strong understanding of REST APIs, cloud platforms, and DevOps practices., • Proven leadership experience in software development projects within a financial services environment is a plus., • Excellent problem-solving, communication, and collaboration skills., • Ability to work effectively in a fast-paced, agile environment. At BNY, our culture speaks for itself, check out the latest BNY news at: ___ ___ Here’s a few of our recent awards:, • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025

Senior Distinguished Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : * Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform * Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics * Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows * Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models * Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions * Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities * Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: * 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 * At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : * Master’s Degree in Computer Science or a Master’s Degree in Software Engineering * Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) * Experience building platforms that support LLM training, fine-tuning, or high-throughput inference * Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies * History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, 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).

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, 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).

AWS Senior Platform Engineer New York City, New York Job Description: We are looking for a Senior Platform Engineer to design, build, and operate scalable secure and highly available cloud platforms on AWS This role focuses on Kubernetes based platforms infrastructure as code cloud networking and shared platform services that enable application and AI teams to ship faster and more reliably You will work closely with application AI and security teams to provide a robust platform foundation while driving best practices around automation scalability and operational excellence Key Responsibilities: • Design build and operate production grade Kubernetes platforms on Amazon EKS, • Implement and manage event driven autoscaling using KEDA, • Develop and maintain infrastructure as code using Terraform, • Build and manage Helm charts for platform and application deployments, • Design and operate AWS networking components including VPCs load balancers routing and security groups, • Manage EC2-based workloads and integrations alongside Kubernetes platforms, • Implement and operate secrets management solutions HashiCorp Vault or equivalentDesign and support caching layers using Redis class technologies, • Partner with security SRE and application teams to ensure reliability scalability and security, • Experience using Python to build automation, platform tooling or operational workflows, • Troubleshoot complex infrastructure and platform issues across environments Qualifications • Strong hands on experience with Kubernetes on AWS EKS in production environments, • Proven experience implementing autoscaling solutions including KEDA, • Solid expertise in Terraform for infrastructure provisioning and lifecycle management, • Experience building and maintaining Helm charts, • Deep understanding of AWS infrastructure including VPC design and networking, • Load balancers ALB NLB, • Hands on experience with secrets management using HashiCorp Vault or similar tools, • Experience designing and operating distributed caching systems Redis or Redis compatible technologies, • Strong troubleshooting skills across cloud networking and Kubernetes layers Qualifications • Experience with OpenShift self managed or managed offerings, • Hands on experience configuring and managing BlueCat DNS, • Familiarity with enterprise networking and DNS architectures

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Cybersecurity Engineer - Blue Team Type: Contract Compensation: $85–$140/hour Location: Remote Role Responsibilities • Design and build benchmark tasks grounded in real SOC and detection engineering work., • Construct realistic evaluation environments, including multi-host networks, Active Directory, and cloud control planes., • Define what "correct" looks like for blue-team AI reasoning and build infrastructure to measure it reproducibly at scale., • Translate blue-team workflow experience into rigorous evaluation design. Must-Have • Hands-on blue-team experience in detection engineering, threat hunting, incident response, or malware analysis., • Upload resume, • AI interview based on your resume

We are looking for a confident Senior IT Infrastructure Engineer who has demonstrated experience engineering and maintaining environments and resources in cloud environments, leveraging industry best practices and toolsets. Provision and manage resources using Infrastructure as Code (IaC) methodolog

Description: WHO WE ARE Come join the company reinventing data security, empowering businesses to realize the full potential of their data. As the leading data security platform purpose-built for the cloud era, Cyera’s mission is to reinvent how businesses secure data, enable agile collaboration, and boldly pursue new business opportunities. Trusted by security teams at leading global businesses, our team is proving that data security is the next big thing in cyber. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data security. THE OPPORTUNITY We are searching for a highly skilled Customer Success Engineer to play a key role in optimizing our customers' utilization and return on investment in Cyera. This position offers an exciting chance to join a thriving organization and contribute to the forefront of data security, making a significant impact on the protection of data for numerous global enterprises. As part of this role, you can expect to travel between 25-50% annually, enabling you to engage directly with clients and enhance their overall experience. RESPONSIBILITIES As a Customer Success Engineer, you will play a crucial role in ensuring customer satisfaction and success by: • Serving as the primary technical expert on the Cyera Platform, demonstrating in-depth knowledge and expertise., • Establishing yourself as a trusted advisor to customers at all levels, from practitioners to executives., • Driving customer adoption through effective onboarding and training processes., • Gaining a deep understanding of customers' requirements, challenges, and desired business outcomes, and then designing and delivering customized use cases that align with their goals using a consultative approach., • Proactively ensuring that customers are realizing the full value of their investment and maximizing their return on investment by consistently driving sustained adoption of Cyera's platform. You will act as the leader for ongoing engagement and expansion, helping customers achieve their business and technology objectives., • Proactively identifying and resolving any obstacles or blockers that may impede customer success, collaborating with peers to address them promptly., • Advocating for the customer's voice and feedback, actively influencing Cyera's roadmap and product development., • Utilizing self-paced training resources to support customer education and promote knowledge growth throughout their journey., • Troubleshooting and resolving technical issues impacting customers, ensuring smooth operation and seamless experiences., • Monitoring and reporting on the overall well-being of customers, tracking key health and usage indicators., • Collaborating with customers to develop joint success plans., • Documenting and sharing best practices both internally and externally to foster knowledge sharing and continuous improvement., • Mentoring other team members, sharing your expertise and assisting in their professional development., • Participating in the interview process to help identify and onboard talented individuals to the team., • Conducting Quarterly Business Reviews with customers, evaluating progress, and identifying areas for further improvement and collaboration. Requirements: REQUIRED QUALIFICATIONS: • Associates degree or equivalent experience required. Bachelor’s degree in Computer Science or similar experience a plus., • 12 years experience in Strong project management skills, enabling you to effectively plan, organize, and execute multiple projects simultaneously while maintaining a strong attention to detail, • A self-starter who thrives in an ambiguous, fast-paced, and deadline-oriented startup environment., • A results-oriented mindset, with a proven track record of driving revenue growth, ensuring customer satisfaction, promoting feature adoption, and maximizing customer retention., • Prior experience collaborating with Development teams., • Proficiency in SQL, scripting languages (e.g., Python or equivalent), and hands-on experience with cloud environments., • 3+ years of hands-on experience with data technologies and cloud technologies, including databases, cloud infrastructure and basic administration (e.g., cloud networking, data and compute assets, IAM and permissions, etc,), • Experience with programming or scripting languages and familiarity with APIs and web services, • Demonstrated expertise in DLP (Data Loss Prevention), Data Privacy/Protection, DSPM/CSPM (Cloud Security Posture Management), SIEM (Security Information and Event Management), or vulnerability management with hands-on experience preferred., • Prior experience working in a software company in a technical customer-facing role is essential., • Demonstrated track record of owning customer relationships, including onboarding, renewal, and expansion., • A self-motivated, proactive, and innovative team player who consistently strives to inspire customer loyalty., • Excellent interpersonal and customer relations skills, particularly when it comes to building and nurturing strategic relationships., • A clear and concise verbal and written communicator, capable of conveying complex information effectively., • Proficiency in leading both executive meetings and technical workshops, demonstrating confidence and expertise., • Ability to work autonomously, tackling even the most intricate challenges, and successfully completing tasks that may lack comprehensive documentation. They will actively participate in projects aligned with their current skill set, seeking assistance primarily for more complex initiatives or issues. COMPENSATION INFORMATION: In addition to a standard benefits and equity package, we offer a generous salary. Final compensation will vary based on seniority and relevance of experience, location, and position requirements. This role may be eligible for potential merit increases based on factors such as individual or company performance, time in role, and other discretionary factors. BENEFITS - Why Cyera? • Ability to work remotely, with office setup reimbursement, • Competitive salary, • Unlimited PTO, • Paid holidays and sick time, • Health, vision, and dental insurance, • Life, short and long-term disability insurance

Software Engineer to join our Boulder-based team and help build the infrastructure powering our privacy first, data-driven platform. This role blends distributed systems engineering and cloud-native development in a high-impact environment. Tackle complex engineering challenges in privacy-first heal

You will work closely with government and contractor staff to design and provision enterprise-level cloud services and infrastructure in an AWS cloud computing environment. Tactibit Technologies provides innovative information technology, cybersecurity, and cloud support services to the Federal Gove

Aerospike is the real-time database for mission-critical use cases and workloads, including machine learning, generative, and agentic AI. Aerospike powers millions of transactions per second with millisecond latency, at a fraction of the total cost of ownership compared to other databases. Global leaders, including Adobe, Airtel, Barclays, Criteo, DBS Bank, Experian, Grab, HDFC Bank, PayPal, Sony Interactive Entertainment, The Trade Desk, and Wayfair, rely on Aerospike for customer 360, fraud detection, real-time bidding, profile stores, recommendation engines, and other use cases. At Aerospike, we dream big and deliver even bigger. Our mission is to unleash the power of the world’s real-time data with a database built for infinite scale, speed, and sustainability. If you're ready to shape the future of data, join us. We’re growing fast and investing deeply in our Cloud Platform—a multi-cloud, multi-tenant platform that brings the power of Aerospike to customers with maximum simplicity, speed, and scale. We’re looking for a Senior Backend Engineer to join our Cloud team and play a key role in designing and building the next generation of our platform services. Your work will directly shape the way global enterprises deploy, manage, and scale Aerospike in the cloud—and will help push the boundaries of what real-time, always-on systems can achieve. • Drive real impact. You’ll build core backend systems that are foundational to our multi-cloud SaaS platform—helping customers deploy and manage high-performance, globally distributed applications with ease., • Collaborate deeply. You’ll work closely with product managers, architects, QA, and other developers to move fast on a strategic roadmap that reflects real-world customer needs for internal and external developers., • Build for scale. From optimizing performance to designing for multi-tenancy and auto-scaling, you’ll write production-grade code that’s secure, maintainable, and blazing fast., • Elevate quality. You’ll champion code quality and test coverage, raise the bar for engineering standards, and help us build systems that just work—even under extreme load., • Innovate boldly. At Aerospike, we value curiosity, courage, and creativity. You’ll bring new ideas to the table, prototype rapidly, and be empowered to experiment and lead with technology., • Responsibilities, • Communicate regularly with stakeholders, project managers, quality assurance teams, and other developers regarding progress on a long-term technology roadmap, • Produce quality code, raising the bar for team performance and speed, • Write code and tests, build prototypes, resolve issues, and profile and analyze bottlenecks, • Optimize backend services for performance and scalability, • Develop automated unit and integration tests to ensure business needs are met., • Join the on-call rotation for services in your focus area as a technical expert to help address customer-impacting issues, • Required skills and qualifications, • At least 5 years of relevant experience, • Excellent foundation in computer science and algorithms, • Experience in developing distributed, multi-tenant, auto-scalable backend services, • Proficient knowledge of one or more statically typed back-end programming languages (Go, Kotlin, Java, Scala), • Experience with at least one of the major public cloud providers: AWS, Google, Azure, • Experience with NoSQL and relational databases and database fundamentals, including data storage, data replication, data modeling, and data access patterns, • Experience with developing, deploying, and maintaining distributed services with containers (Docker) & orchestration (Kubernetes, EKS, GKE), • Experience with Git and CI/CD pipeline engines, • Technical knowledge and understanding of techniques and standards for authentication, authorization, and encryption, • Preferred skills and qualifications, • Proficient in Go, • Experience with NoSQL database development, • Experience with Terraform, Ansible, and other DevOps technologies, • Experience with the Kubernetes Operator pattern, • Experience with a workflow engineer (ArgoCD, Temporal) Aerospike is an Equal Opportunity Employer. We are committed to providing an environment free from discrimination on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. Join us at Aerospike and be part of a dynamic team that is shaping the future of data management. Salary Range for California Based Applicants: [$169,000 - $195,000] (actual compensation will be determined based on experience, location, and other factors permitted by law)

Our Core Values: • Build with Intention:, • We stay focused on the work that matters most. No chasing shiny objects. We choose our priorities carefully and follow through with purpose and discipline., • Trust and Be Trusted:, • We earn trust by being obsessed with our customers’ problems. We listen, we move fast, and we do what we say we’re going to do, every time., • Lift as we climb: As a Senior Full Stack Engineer on this team, you will be a technical leader responsible for building and shaping a critical part of our AI-enhanced product. • Design, build, and maintain core features across the entire stack, from our React frontend to our Python backend services., • Architect scalable and resilient systems that can handle sensitive user data and complex, AI-driven workflows with reliability and performance in mind., • Take full ownership of major features, from initial concept and technical design through to deployment and post-launch support., • Collaborate with empathy alongside our Product partners, UX Designer, and other engineers to translate user needs into elegant technical solutions., • Mentor and guide other engineers on the team, fostering a culture of technical excellence through thoughtful code reviews and knowledge sharing., • Champion best practices for testing, code quality, security, and CI/CD to ensure we're building a robust and maintainable product. We're looking for a seasoned engineer who is passionate about building high-quality, intelligent products and thrives in a collaborative, value-driven environment. • 7+ years of professional software development experience, with a proven track record of shipping complex, full-stack web applications., • Previous experience developing AI-powered products or features, with a strong understanding of the product development lifecycle for AI systems., • Proficiency in modern JS frameworks like ___ and/or React along with expertise in JavaScript/TypeScript, HTML, and CSS., • Strong experience with a backend language and framework Python (Django, FastAPI)., • Comfort and proficiency using AI-assisted development tools (e.g., GitHub Copilot) to enhance productivity., • Solid understanding of database design and querying, with experience in SQL, PostgreSQL., • Familiarity with cloud platforms (AWS, GCP, or Azure) and modern DevOps practices (e.g., Docker, Kubernetes, CI/CD)., • A strong product sense and the ability to think critically about user experience and business impact. Where You'll Be: We offer flexibility in your work location! For this role, you just need to be based within the US, allowing you to work where you feel most productive. What Zivian Has for You: • A dynamic, diverse, and collaborative work environment., • Fast-paced startup culture full of growth minded colleagues., • A distributed team with opportunities for in-person collaboration., • Competitive compensation and benefits package., • A supportive, non-competitive work environment where the team truly cares about one another., • Opportunities for continuous learning and professional growth., • Flexibility in work location.

Location: Remote Clearance: Active DoD Secret clearance required Employment Type: Full-Time (W-2) Citizenship: U.S. Citizenship required IntelliTech is seeking a Tech Lead / Full-Stack Engineer to serve as the technical anchor on a high-visibility Department of War program focused on operationalizing a Government-owned digital twin application for ammunition industrial base readiness. This role will lead the modernization of an existing Python / React web application from a single-host prototype into a production-aligned, containerized platform deployed in an Army cloud environment. This is a hands-on technical leadership role. The ideal candidate will write production code daily, own architecture decisions, drive sprint execution, and serve as a primary technical interface with Government stakeholders. This individual will work closely with other senior engineers across data/AI and platform/DevSecOps functions on a lean team where every engineer is expected to ship high-quality production code. Technical Leadership • Own overall application architecture and drive technical decisions across frontend, backend, simulation, and data tiers., • Lead sprint planning, backlog refinement, and technical prioritization in coordination with project leadership., • Conduct code reviews and enforce standards for code quality, testing, documentation, and maintainability., • Serve as a primary technical point of contact for Government engineering and product stakeholders., • Modernize and extend a Python FastAPI backend serving as the application control plane for data operations, scenario lifecycle management, and AI orchestration., • Decouple the SimPy discrete-event simulation engine from the API tier into independently scalable worker containers., • Design and implement run request queueing, worker orchestration, and result persistence patterns., • Build governed ingestion workflows, including validation services for schema enforcement, referential integrity, circular reference detection, and business-rule validation with actionable user-facing feedback., • Implement dataset versioning, lineage tracking, and run-level traceability linking scenario outputs to explicit input versions., • Build version-bounded caching strategies for validated inputs, run-ready artifacts, and comparison outputs., • Extend and maintain a React / TypeScript frontend using Material UI, Recharts, and data-grid-based visualizations., • Build user workflows for AI-assisted scenario Q&A, guided scenario generation with analyst review and approval, and brief-ready output presentation., • Implement upload validation feedback, dataset versioning interfaces, and scenario comparison views., • Design and implement the AI integration layer brokering access between the application backend and a Government-approved hosted LLM endpoint., • Build scoped retrieval logic constraining AI context to approved run artifacts, simulation outputs, and post-processed metrics., • Implement guided scenario generation that converts user intent into structured JSON configurations for analyst review before execution., • Implement function-calling and tool-use patterns that enable the LLM to query live scenario data through backend APIs., • Instrument the application pipeline to capture timing, bottleneck, concurrency, and throughput metrics., • Design and execute integration testing across frontend, backend, database, object storage, cache, and worker services., • Benchmark throughput and performance improvements against established baselines., • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline and 8+ years of relevant experience; or Master’s degree in a related field and 6+ years of relevant experience., • Active DoD Secret clearance., • 8+ years of professional software engineering experience., • Strong hands-on Python backend development experience, including FastAPI or Flask, asynchronous patterns, REST API design, and data processing with Pandas and NumPy., • Strong React / TypeScript frontend development experience, including React 18+, component architecture, state management, and modern UI frameworks such as Material UI., • Experience with containerized architectures, including Docker and orchestration concepts such as Kubernetes, ECS, or EKS., • Experience with MongoDB or other document-oriented databases, including schema design, query optimization, and async drivers., • Experience integrating LLM APIs such as OpenAI, Anthropic, or equivalent platforms, including function calling, tool-use patterns, and prompt engineering for structured outputs., • Experience building and maintaining production-grade applications in cloud-based environments, preferably AWS., • Experience leading technical execution across multiple application layers in a complex engineering environment., • Experience supporting DoD or federal Government programs., • Strong communication skills and the ability to work directly with technical and non-technical stakeholders., • Experience with SimPy or other discrete-event simulation frameworks., • Experience with defense supply chain, logistics, manufacturing, or industrial base mission domains., • Experience leading small engineering teams on Agile Government contracts., • Experience with Amazon DocumentDB, Redis / ElastiCache, Amazon S3, and Army or AWS cloud environments., • Familiarity with munitions industrial base concepts such as BOM structures, production lines, CAGE codes, and surge planning., • Experience building decision-support, simulation, or analytics applications for Government analysts., • Experience with Terraform, Helm, CI/CD pipelines, and production container deployment patterns., • Prior experience supporting Army logistics, manufacturing, or modernization programs., • Backend: Python 3.11+, FastAPI, SimPy, Pandas, NumPy, Pandera, Motor (async MongoDB), • Frontend: React, TypeScript, Material UI, Zustand, Recharts, MUI X Data Grid, • Database: MongoDB / Amazon DocumentDB, • Cache: Redis / Amazon ElastiCache, • Storage: Amazon S3, • AI Integration: OpenAI API or Government-approved hosted LLM endpoint, function calling, scoped retrieval, • Infrastructure: Docker, EKS / ECS, Helm, Terraform, • CI/CD: GitLab CI, GitHub Actions, or Government-approved pipeline tooling Candidates should be prepared to discuss: • systems or applications they have built from scratch across backend and frontend layers, • their experience leading architecture and technical implementation decisions, • how they have modernized or productionized prototype applications, • their experience with Python, React, containerized deployment, and cloud-native architectures, • their experience integrating AI capabilities into operational applications IntelliTech provides a comprehensive benefits package designed to support employees’ well-being and professional growth, including health insurance, dental insurance, and vision insurance, a 401(k), paid time off, professional development opportunities, and flexible work arrangements to support work-life balance. IntelliTech is a dynamic and forward-thinking small business specializing in Full Stack Engineering, Data Analytics, Cloud Solutions, and DevSecOps services. Our mission is to empower government and commercial clients to solve complex technical challenges through practical, innovative, and mission-focused engineering solutions. At IntelliTech, we are committed to building a diverse and inclusive workplace. We believe that a variety of perspectives and backgrounds leads to stronger teams and better solutions. IntelliTech is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, gender, age, disability, or veteran status. We encourage all qualified candidates to apply.

We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Senior Software Engineer (Full Stack) will be expected to deliver stellar results as part of a small, cross- functional, largely autonomous product engineering team, collaborating with other developers, designers, and the product manager to extend our cloud-based web platform. This role will contribute to features and projects, from brainstorming, development, through to testing, release, and maintenance. • Build products for internal and external users across the stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages., • Partner with engineering managers, lead engineers, product managers and designers to deeply understand the needs of our users to architect and leverage most effective technical solution to build a product that serves those needs., • Design and develop software capable of reaching millions of, • Write modular, secure, and well-tested, • Ensure our development environment is best in class by delivering improvements to internal tooling and direct partnership with our product platform teams., • Articulate a technical vision for a more enlightened way of working and work with multi-functional partners to deliver that vision., • Ensure code quality and participate in code, • Promote collaboration and best practices such as simplicity, automation, good design patterns, code coverage and reusability., • Own and maintain existing application platforms as part of the team, and look for opportunities to improve them., • BS (or higher, e.g., MS, or Ph.D.) in Computer Science or related technical field involving coding, or equivalent technical experience., • 5+ years of work-related industry experience developing high-performance web applications in C#/ .NET., • Experience writing RESTful microservices with a popular web, • Extensive knowledge of your development stack; for example, with C#, have a comprehensive understanding of the .NET, .NET Core, MVC, WebAPI, IIS etc., • 3+ years of experience as a Full Stack Engineer and knowledge of Front-End languages such as JavaScript, React, Angular., • Good working knowledge of HTML, CSS, and Javascript, • Strong CS fundamentals with experience across a range of disciplines, with one or more areas of deep knowledge and experience, • Consistent track record of developing, shipping, and maintaining large-scale web applications with a user, • Experience working with AWS offerings such as EC2, ALBs, RDS, Beanstalk, API Gateway or with a different cloud provider and similar services., • Demonstrated experience to understand the tradeoffs to technical design decisions, risk assessment and mitigation activities., • Experience in analyzing and troubleshooting application issues in timely fashion., • Proven analytical thinking and problem-solving, • Must have excellent communication skills both verbal and, • Enthusiasm for technology, and an aptitude for learning and using new Bonus Qualifications: • Experience in Agile development methodologies, preferably both Scrum and, • Experience with unit testing using frameworks like, • Enthusiasm to work anywhere in the stack, especially in unfamiliar, • Enthusiasm for modern DevOps practices (including containerization and Kubernetes deployments)., • Good working knowledge of API, • Experience with specific technologies such as Redis, ElasticSearch Salary Range: $140,000 - $155,000 In Office Policy: Candidates within a commutable distance to one of the offices listed below will be expected to commit to a hybrid in office schedule if selected. • Boston, MA, • Princeton, NJ RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.

Battle Road Digital, part of Onebrief, applies state-of-the-art innovations and experience from the video game industry to build the future of simulations, modeling, and operations with AtomEngine – our proprietary cloud-based game engine that’s making the world playable.

Job Title: Senior Software Engineer Company: Snapsheet Job Location: USA, Remote Job Type: Full-time, direct hire About Snapsheet: Snapsheet is claims technology the way it should be: purposeful, precise, and designed to deliver outcomes. Where others bolt things on, we engineer them into our core systems and processes across cloud-based claims management, virtual vehicle appraisals, and elite loss and recovery services. Trusted by over 170+ P&C Carriers, MGAs, MGUs, TPAs, and logistics companies, our open architecture is built to fit how our companies work, not the other way around. Role Overview: As a Senior Software Engineer, you will be a key contributor to the evolution of our industry-leading claims engine. Because we are hiring across multiple high-impact teams, your specific placement will be aligned with your technical strengths and our current initiatives. In this role, you will architect scalable solutions, mentor emerging talent, and collaborate across departments to solve complex problems for our global partners. We look for "full-stack thinkers" who thrive in an agile, remote-first environment and are passionate about building purposeful technology that delivers real-world results. What you’ll get: • Remote working environment - your new commute is however long it takes to walk to your desk!, • Flexibility - empathy is ingrained in who we are and we are happy to offer a flexible PTO policy, casual dress code, and more!, • Development - Mentorship programs, 1-on-1 management, promote when ready culture, quarterly internal promotion opportunities, and goal setting sessions., • BS in Computer Science, Mathematics, Software Engineering, Computer Engineering, or a related STEM field, • 5+ years of full-stack web development experience, • Designing and building APIs, • Designing schemas and performant queries for relational databases, • Understanding of scalability challenges and performance of server-side code, • Prior professional experience using React, • Prior experience using Ruby on Rails a plus, • Eagerness to learn from and work with a collaborative team, • Commitment to quality and passion for technology and creating cutting-edge solutions, • Ability to manage tasks and to contribute towards multiple initiatives during a sprint Our tech stack:, • Frameworks: Ruby on Rails and React, • Methodology: Agile At Snapsheet, we know that growth doesn’t happen in a vacuum—it’s fueled by the right support at the right time. That’s why we’ve built a benefits experience designed to grow with you, wherever life takes you. • Choose from 2 robust medical plans through Blue Cross Blue Shield—plus, we contribute to your HSA when you enroll in our high-deductible health plan., • Offer two dental plans and one vision plan to keep you and your family healthy., • Peace of mind with company-paid Short Term Disability, Long Term Disability, and Life Insurance., • Additional protection through voluntary benefits like Accident Insurance, Hospital Indemnity, Critical Illness, and Legal Assistance., • 401(k) with a 4% company match—because your future is worth investing in., • Flexible PTO and 7.5 company-observed holidays to recharge on your terms., • In-person connection points throughout the year including our annual Summit and Roadshows., • Snapsheet SWAG and surprise mailers to keep the spirit alive., • Endless opportunity to shape your path—career growth, learning, and real impact are all within reach. For this position, the base salary range is $135,000 - $165,000. While this range serves as a guideline, your actual compensation will reflect your unique experience, skill set, and location. At Snapsheet, we believe growth should be rewarded—our compensation and benefits are built to evolve with you as your career does. We are not currently accepting applications for candidates who reside in New York or California. *Please note that we are unable to sponsor applicants for work visas for this position at this time. Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply for jobs unless they meet every single qualification. At Snapsheet, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. Snapsheet is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need assistance or accommodations, please let us know by emailing ___. Snapsheet is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. #BI-Remote #LI-Remote Snapsheet is an equal opportunity employer.

The foundation of the modern global economy is built on a dense network of counterparty trust and risk. In the past 50 years, companies have evolved from relying on a couple of wholesalers and vendors, to utilizing 100+ SaaS vendors, contract partners, and cloud providers. Since each counterparty has their own idiosyncratic internal processes and risk profiles, businesses end up spending millions of dollars and countless man-hours conducting due diligence. Coverbase’s mission is to streamline this business-to-business assessment, reducing human toil, and allowing organizations to work together safely and reliably. We employ modern AI techniques to organize vast amounts of unstructured data and compare them against policies to identify key risks to the business. We serve customers across Fortune 500 companies in insurance, higher education, and finance — including five of the top 25 banks in the US. Our proven leadership team brings deep experience: * Clarence (CEO): Co-founder & former CTO of Unit21, a Series C fraud detection company that has raised ~$92M. * Kao (CTO): Previously led the Stripe engineering team that launched Banking-as-a-Service. We’ve raised $20M from world-class investors and our team of 20 have built important products at Google, Mapbox and Waymo. We’re looking for our Founding Platform / Infra Engineer – a strong software engineer first. You can design, build, and evolve the systems, tooling, and infrastructure that make every other engineer more effective at Coverbase. This isn’t a traditional DevOps or SRE role. You’ll be hands-on in code, but thinking in systems: how services are deployed, observed, scaled, and supported as we grow. You’ll lay the technical foundations that let us move fast and stay stable. * Manage and evolve our infrastructure — from compute and storage to networking and deployments. * Improve system observability by defining and monitoring service health metrics, ensuring we can see and understand how our systems perform in real time. * Enhance our CI/CD and deployment utilities to make releases faster, safer, and more reliable. * Contribute directly to developer experience and velocity by smoothing workflows, refining automation, and improving the overall developer journey. * Bring a builder’s mindset: ship pragmatic, stage-appropriate systems that scale with us. We’re looking for folks who care not just about their work, but the people around them — we’re building a team that’s as kind as they are talented. Day to day, you’ll: * Scale infrastructure using repeatable, environment-aware patterns for safe staging, preview, and production rollouts. * Enhance reliability by defining service health metrics, improving alerting, and leading incident response + postmortems. * Strengthen access hygiene by championing least-privilege defaults, secret rotation, and cleaner permission boundaries. * Improve observability by building actionable dashboards and alarms, and creating light daily/weekly system health signals to keep the team oriented. * Improve release safety through progressive delivery and automated post-deploy checks. * Boost developer velocity by optimizing CI/CD workflows and documentation. * Support communications by incorporating a lightweight status/incident update path customers can trust. * Lead foundational projects as our analytics and batch workloads grow – setting standards for scalability and foundational developer resources Success looks like a platform that’s predictable, observable, secure by default, and fast to iterate on. * 4+ years of professional software engineering experience, ideally including platform, infrastructure, or systems work. * You have strong software engineering foundations — you’re fluent in your dev environment, confident with git, write and review clean code, and debug systematically. * You’ve built, deployed, and operated production systems end-to-end. * Experience with: * Languages: Python, TypeScript * Infra & IaC: AWS or GCP, Terraform/Pulumi, Docker, ECS/EKS * CI/CD: GitHub Actions * Observability: CloudWatch, Sentry, Fullstory * Security & Ops: IAM, secrets management, vulnerability remediation * Pragmatic, curious, and comfortable in the ambiguity of an early-stage startup. * Excited to build systems for other engineers, not just manage legacy infrastructure. * Experience working in a seed to Series C startup as the first Platform / Infra Engineer. * Located in the San Francisco Bay Area and willing to go back into the office in a Hybrid model once the physical office opens. * Experience working with founders and leadership team regularly. * You’ll define how we build, ship, and scale software as we grow — from scratch. * You’ll act as both architect and builder, blending SWE depth with system intuition. * You’ll collaborate closely with CTO, CEO, leadership regularly as well as product engineers, helping them move faster and safer. * You’ll shape not just infrastructure, but engineering culture. Strong product addressing a latent market demand: Our AI-driven platform is transforming third-party risk management (TPRM) for top-tier financial institutions. Customers describe it as “revolutionary” and “a joy to work with,” and we’re just getting started. Here’s what some of our customers had to say about our product, unprompted: * “This is a revolutionary product… Coverbase is the single biggest step forward in TPRM I’ve seen in my career” * “You’re flipping the entire program upside down, we completed the risk assessment in 1.5 days… would otherwise have taken at least 3 weeks” * “Love how responsive you are, it’s been a joy to work with you guys” Early-Stage Impact: This is a rare opportunity to shape the trajectory of a company at the forefront of AI innovation. Your work will directly influence our success and define how we grow. Collaborative Team: Join a tight-knit, mission-driven team that values kindness, creativity, and curiosity as much as expertise. You’ll work closely with the founders and an exceptional group of engineers. * $170K to $240K base depending on experience and ability * Meaningful founding team equity. * Health insurance (100% employee / 80% dependents). * 21 days PTO. * In-person gatherings within the U.S. (travel covered) every 3-5 months. We’ll give plenty of notice for it, and cover flights and accommodation. We expect you to attend! * 401(k) with 4% matching. Location: Remote from the Continental US Reports to: CTO, Co-Founder Coverbase Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Agile Defense is looking for a DevOps Engineer to be part of a growing team in the federal sector. Write code, building infrastructure as code, work with immutable “cloud” based environments, and build the supporting automated toolsets to test and deploy the systems they develop. As an DevOps e

Participate in sprint planning, stand‑ups, and cross‑team discussions to prioritize DevOps initiatives. Proven experience leading or mentoring a DevOps team. The Lead AWS DevOps Engineer is responsible for developing, maintaining, and managing AWS technology infrastructure leveraging cloud servi

Implementations Specialist Overview When a new client signs with Billee, the real work begins. The Implementations Specialist is the person who turns a signed contract into a live, running system, doing it in a way that earns trust and sets clients up to succeed long-term. Without this role, onboardings stall, clients feel unsupported, and the value of our platform doesn't land the way it should. Day to day, this means owning the full lifecycle of each client deployment: running requirements workshops, configuring billing software to match complex rate structures and regulatory requirements, managing data migrations from legacy systems, and coordinating across internal teams to keep projects on track. You'll typically be managing several concurrent implementations at once, each at a different stage, each with its own quirks. This role is a fit for someone who genuinely enjoys the intersection of technical problem-solving and client relationships. You'll regularly be the person in the room (or on the call) who understands both what the system can do and what the client actually needs. That gap-bridging work is where this role gets interesting, and sometimes hard. Who We Are Billee Technologies Inc. is a Dallas-based SaaS startup revolutionizing utility billing for multifamily apartment communities. Our intuitive, cloud-based platform streamlines operations, eliminates inefficiencies, and increases NOI for property owners and operators. At Billee, we are more than just a technology company. We are a team of innovators and problem solvers. Led by seasoned product and technology practitioners, we challenge traditional providers by offering smarter, more efficient solutions for this overlooked pocket in multifamily proptech. Our culture is the foundation of our success. We believe in empowering and developing our people, ensuring they thrive both professionally and personally. Our core values define how we work and what we stand for: • Win Together – We believe in collaboration and collective success. When one of us wins, we all win., • Lead with Integrity – We hold ourselves accountable, operate with transparency, and always do what we say we'll do., • Relentless Determination – We tackle challenges head-on, with persistence and decisive action., • Bold Voices – We encourage open dialogue and foster a culture where every voice matters. Implementation Leadership: Own end-to-end deployment projects from kickoff through go-live. You'll build the project plan, set the timeline, coordinate internal and client stakeholders, and keep things moving when they get complicated. Clients should feel confident and informed at every stage, not left wondering what's happening. Technical Configuration: Configure our billing platform to match each client's rate structures, tariffs, and regulatory requirements. This includes setting up customer information systems, meter data management, and billing calculation engines, as well as integrating with existing client infrastructure (AMI, GIS, ERP systems). The work requires both technical precision and the judgment to know when something won't hold up in production. Data Migration: Design and execute migration strategies for clients transitioning from legacy systems. You'll be responsible for ensuring data integrity throughout the process, from initial mapping through final validation, and documenting decisions along the way so nothing is a mystery six months later. Client Engagement: Serve as the primary technical contact throughout each implementation. That means running requirements-gathering sessions, leading UAT coordination, and translating complex system concepts for stakeholders who aren't technical. Clients should come away from every interaction feeling like they understand what's happening and why. Quality Assurance: Develop and execute testing protocols that validate billing accuracy, rate calculations, and regulatory compliance before anything goes live. You're the last line of defense before a client is processing real transactions, so thoroughness here matters. Requirements • 3+ years of experience with utility billing software implementations in multifamily real estate, • Strong SQL skills and hands-on experience with data migration tools, • Proficiency in system integration methodologies and API configuration, • Working knowledge of utility rate structures, tariffs, billing methodologies, and relevant regulatory frameworks (PUC, etc.), • Proven ability to manage multiple concurrent technical projects independently, • Strong client-facing communication skills; you can present to an executive and debug with an IT admin in the same day Comfortable with complexity. You don't need perfect information to move forward. You know how to break ambiguous requirements into clear configuration decisions, and you're not rattled when a client's setup doesn't fit neatly into the standard playbook. Client-first communicator. You've built real trust with clients in past roles. You know the difference between keeping someone informed and keeping someone confident, and you do both. Non-technical stakeholders leave your training sessions feeling capable, not overwhelmed. Organized under pressure. You've managed overlapping go-live timelines and kept your head straight. You have a system for tracking what's in flight, what's at risk, and what needs to escalate, and you use it consistently. Technically fluent. You're not a developer, but you're close enough to the systems that you can diagnose integration issues, spot a migration error before it becomes a go-live problem, and have a credible conversation with an engineer about what's actually wrong. Curious about the domain. You've gone deeper than the software. You understand why utility billing works the way it does: the regulatory context, the rate structures, the quirks of multifamily operations, and that knowledge makes your implementations better. Ownership mentality. When something goes sideways on a project, you're already working the problem before anyone asks. You treat every implementation as if your name is on it, because it is. Tech Stack You'll work with these tools regularly: • Billee Platform: Core billing and configuration environment where most implementation work happens, • SQL / Data Migration Tools: Used for extracting, transforming, and validating client data, • AMI / GIS / ERP Integration Layers: Varies by client; you'll configure connections between Billee and existing client systems Where You'll Sit This role is part of our Billing Operations team, reporting to [Title of Manager]. Your primary stakeholders will be Client Services, Product, and Engineering. You'll work closely with Client Services on onboarding handoffs and escalations, with Product to surface configuration gaps and client feedback, and with Engineering when implementations surface integration or platform issues. Compensation & Benefits • Salary Range: $85,000 to $105,000, • Health, dental, and vision insurance, • 401(k), • Paid time off and flexible work arrangements, • Professional development opportunities, • Opportunity for earned equity

Job Title: QA Automation Engineer II Location: Jersey City, NJ(Hybrid) Duration: 6+ Months (Extendable) ("US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.”) A reasonable, good faith estimate of the minimum and maximum hourly rate on W2 for this position is $55 to $65 with limited benefits. Job Description: Top Skills: Selenium, Automation testing, Java/C#, API Testing, UI Testing, JMeter, SQL(Database Testing), Python Key Experiences: • 9+ years of proven experience in the software development industry, participating in a team environment., • 5+ years of experience in UI automation, such as Selenium WebDriver., • 5+ years of proven experience in testing web services such as RESTful API., • 3+ years of proven experience in performance testing using tools such as Apache JMeter (nice to have)., • 2+ years of working in a cloud-based development and production environment such as AWS., • 3+ years of proven experience with programming languages such Java/C#. Familiarity with Python is a plus. Seeking candidates with solid coding proficiency in Java or C#., • Proficient with both SQL and NoSQL databases., • Experienced working in Continuous Integration/Continuous Deployment (CI/CD) environments., • Having AWS/Cloud technologies and AI/ML powered applications knowledge are big plus. Key Responsibilities: • Design and execute functional and automation testing for applications., • Develop and execute automated test scripts using testing tools; document and summarize results., • Build, update, and maintain UI automation test cases using Selenium with C# (flexibility to learn C# if not already proficient)., • Perform manual API testing using tools such as Postman or Insomnia., • Perform API automation testing using industry-standard frameworks and tools., • Participate actively in Agile ceremonies (daily stand-ups, sprint planning, retrospectives)., • Collaborate closely with Development and Business teams to ensure project success., • Quickly adapt to new technologies and tools (e.g., Amazon Web Services)., • Work with SQL and NoSQL databases for backend validation and robust data testing., • Create comprehensive end-to-end test plans, test specifications, and test case templates., • Develop and document detailed test plans and test cases., • Facilitate defect tracking, reporting, and resolution management., • Review requirements (Functional Specifications, User Stories, Change Requests) to ensure full coverage., • Identify and manage test data; prepare automation-ready test cases., • Conduct system testing, regression testing, and support User Acceptance Testing (UAT)., • Apply test case design techniques (e.g., boundary value analysis, equivalence partitioning)., • Implement Shift Left Testing practices by participating in early requirement and design reviews, writing acceptance criteria up front, and integrating automated tests in CI/CD pipelines., • Be actively involved in the deployment process, collaborating with DevOps and engineering teams to ensure smooth releases. Nice to Have: • Experience with application monitoring tools (e.g., New Relic, Datadog, CloudWatch)., • Working knowledge of Python for scripting and automation., • Familiarity with AWS services for cloud-based testing and deployment., • Hands-on experience with performance and load testing using JMeter, • Experience with testing AI/ML-powered applications, including validating model outputs, creating test datasets, evaluating model performance.

Please send current resumes directly to Bhagyashree Yewle, Principal Lead Recruiter - YOH SPG Contract Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite in Jersey City, NJ Location: Jersey City, NJ // Hybrid: 3 days a week Open to W2 and CTC contractors - MUST HAVE HANDS ON Apache Airflow DAG development, dbt Core, Kubernetes, on-prem OpenShift experience MUST HAVE SKILLS • 10+ years of professional experience in data engineering, designing and supporting enterprise-scale data platforms in production environments, • The role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment., • This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup. Estimated Min Rate: $56.00 Estimated Max Rate: $80.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs Yoh, a Day & Zimmermann company, 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, disability, or status as a protected veteran. Visit to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice:

Intellibus Consulting is a boutique engineering and AI transformation firm building mission-critical platforms for leading financial institutions. We are hands-on builders — our leaders stay close to architecture, engineering, and production systems while partnering directly with client executives. Job Description We are seeking a proven Technical Delivery Leader with a strong engineering background who has successfully delivered complex fintech or banking platforms within high-performance consulting or enterprise environments. This is a lead-from-the-front, execution-first role — not PMO, not coordination. You will be expected to operate at pace, drive outcomes, and work closely with engineering teams building production-critical systems. We are specifically targeting candidates who have demonstrated sustained success in demanding environments, not those who have transitioned out due to performance or pace constraints. End-to-End Delivery Leadership • Own delivery across multiple engineering teams building fintech/banking platforms., • Drive execution across architecture, development, testing, deployment, and production., • Deliver under tight timelines, regulatory constraints, and high stakeholder expectations. Execution Under Pressure • Operate effectively in fast-paced, high-demand environments., • Manage competing priorities, dependencies, and delivery risks., • Drive teams to meet aggressive timelines without compromising quality. Technical Leadership -API strategies. -Event-driven and distributed systems. -Data pipelines and reconciliation flows. • Partner closely with engineering teams — not operate at a distance. Production & Stability Ownership • Own production readiness and system reliability., • Lead incident reviews, root cause analysis, and stability improvements., • Ensure systems meet enterprise standards for performance, resilience, and compliance. Client & Executive Engagement • Act as the primary delivery partner to senior client stakeholders (VP/CXO)., • Lead executive reviews, roadmap discussions, and escalation management., • Translate business priorities into clear, actionable delivery plans. Consulting & Program Leadership • Lead delivery within consulting environments., • Navigate ambiguity, shifting scope, and stakeholder pressure., • Maintain delivery velocity while protecting engineering quality. Communication & Documentation (Critical) • Create high-quality client-facing materials:, • Architecture overviews., • Delivery plans., • Risk and mitigation frameworks., • Stability and incident reports., • Translate complex technical discussions into structured, executive-ready content. Engineering Depth & Technical Background (Must-Have) Candidates must have a strong engineering background and be comfortable working close to code, architecture, and production systems. We are specifically looking for individuals who have: • Prior hands-on experience as a software engineer (preferably backend), • Strong understanding of:, • Java / Spring Boot–based systems, • Event-driven architecture (Kafka or similar), • Microservices and distributed systems, • REST APIs and integration patterns. Experience working with: • UNIX / Linux environments., • Cloud platforms (AWS preferred)., • CI/CD pipelines and release management. Must be able to: • Read and understand code when needed., • Challenge engineers and architects on design, performance, and scalability., • Engage meaningfully in architecture and production discussions. Required Experience Must-Have • 15+ years in technology delivery., • 8–10+ years leading complex engineering programs., • Strong experience in fintech, banking, or capital markets platforms., • Proven track record of successful delivery in fast-paced, high-performance environments. Consulting Pedigree (Highly Preferred) • Experience at: Accenture, IBM, Big 4, or similar consulting environments., • Demonstrated strong tenure and success, not short stints. Technical Depth Strong understanding of: • Distributed systems and microservices., • APIs and event-driven architecture., • Cloud platforms (AWS preferred)., • CI/CD and release management., • Data pipelines, batch processing, and reconciliation., • Monitoring, observability, and incident response. Leadership & Business Skills • Executive-level communication and stakeholder management., • Strong ownership mindset — drives outcomes, not status updates., • Ability to balance strategic thinking with hands-on execution., • Comfortable operating under pressure and defending delivery decisions. Presentation & Documentation (Non-Negotiable) • Exceptional PowerPoint / Google Slides skills., • Strong technical writing ability., • Proven experience presenting to senior stakeholders. What We Are NOT Looking For • PMO / coordination-only profiles., • Candidates without strong engineering foundations., • Profiles lacking fintech/banking platform experience., • Candidates with multiple short stints in consulting roles without proven success., • Individuals unable to operate in fast-paced, high-performance environments. Business & Leadership Skills • MBA or equivalent business leadership experience strongly preferred., • Executive-level communication and stakeholder management skills., • Comfortable owning escalations and defending technical delivery decisions., • Ability to balance strategic planning with hands-on execution. Compensation $100 - $110 / Hour Our Hiring Process • 15-minute introductory call with Intellibus Recruiting Team., • Proctored GQ assessment + Slideware (presentation) evaluation., • Technical & Delivery Leadership Interview (30–45 min)., • Executive Interview., • Offer. If you are interested in reaching out to us, please apply, and our team will contact you within the hour.

CSI Companies is seeking an experienced GCP Security Engineer to support the design and implementation of secure cloud environments. This role focuses on embedding security and compliance guardrails into Google Cloud Platform deployments to ensure onboarding is secure by default and audit ready. This opportunity is ideal for a hands on cloud security professional who is comfortable translating security requirements into practical technical solutions and driving implementation across enterprise cloud environments. You will partner with engineering and security teams to establish scalable standards improve compliance posture and support secure cloud adoption. Hours: Standard business hours Location: Onsite in Jersey City Pay: $50–70/hr Position Type: Consultant Work Authorization Candidates must be authorized to work in the United States without the need for current or future sponsorship. What you will do • Translate security and compliance requirements into technical guardrails using policies and baselines, • Configure and enforce GCP organizational policies and control frameworks, • Define encryption standards key management patterns and secrets handling approaches, • Establish logging monitoring and audit evidence retention standards, • Support implementation of IAM hardening and secure access controls, • Drive exception handling risk acceptance workflows and remediation tracking, • Collaborate with engineering teams to ensure secure cloud onboarding practices, • Implement practical security controls that align with enterprise requirements, • Support audit readiness and improve overall compliance posture What we are looking for • 5 or more years of experience in cloud security or related disciplines, • Strong experience with Google Cloud Platform, • Experience implementing cloud security guardrails and policy controls, • Strong understanding of IAM security logging and monitoring requirements, • Experience with Terraform and infrastructure as code, • Experience with Python for automation or scripting, • Strong understanding of security control mapping and audit processes, • Ability to translate security requirements into implementable technical solutions, • Strong problem solving and communication skills Nice to have • Experience with threat modeling, • Experience with vulnerability management integration, • Experience with incident response practices, • Experience working in enterprise cloud transformation programs Who Should Apply This role is ideal for a GCP security engineer who enjoys building secure cloud foundations and driving compliance through practical engineering solutions. About Us The CSI Companies is a leading staffing and recruiting firm providing organizations with highly skilled professionals since 1994. We have been recognized as a Best of Staffing award winner for over a decade and pride ourselves on delivering exceptional talent nationwide. Benefits Offered • Weekly pay, • Medical dental and vision coverage, • Voluntary life and AD and D coverage, • Paid training, • Opportunity for advancement upon performance and availability

Job Description: • Provide dedicated on-site IT/OT support, ensuring seamless operations, rapid incident resolution, and proactive maintenance at sites. Act as the primary point of contact for all local IT/OT issues and coordinate with remote teams for escalations. Responsibilities: - Incident Management & Resolution: • Act as Site SPOC for critical incidents (P1/P2) and coordinate with the Critical Incident Manager., • Perform triage and assignment of site alerts/incidents., • Provide hands-and-eyes support for break-fix issues that cannot be resolved remotely., • Adhering to SLAs agreed in the Scope, • Conduct daily site walkthroughs and routine checks., • Maintain site-specific knowledge base and update manuals., • Performs routine maintenance and preventive checks to ensure the health of critical IT systems, • Bridge between L2/L3 support teams and business stakeholders., • Engage and escalate IT issues impacting business operations., • Coordinate and shadow dispatch engineers during work completion., • Reporting to the Track Lead / Team Lead at Site, • Handling tickets/requests to troubleshoot the nature of reported problems and taking necessary steps to, • resolve those problems, • Troubleshooting technical issues, • Attends operations related meetings., • Site review & meetings with site SPOC., • Meetings with vendors, OEMs on open actions, • Minimum 5-77yrs hands on dedicated experience as deskside/Onsite support/local IT engineer, • Strong Microsoft Operating System installation (Win10 / Win11 / MAC OS X) and troubleshooting skills., • Strong Experience in Providing Hands & feet Support for Network and Datacentre Equipment/Devices, • Familiarity of IT-OT systems (SCADA, PLC, HMI), industrial networking, Windows-based engineering workstations., • ServiceNow for SLA tracking and ticket management., • Good knowledge in handling RF scanners, industry level label printers (Zebra, etc), • Hands on experience in handling Data center hardware., • Good knowledge on Virtualization, Network, Storage servers, backups, VMs, and Cloud technology., • Strong Customer service skills, • Able to handle unforeseen situations., • Might need to travel to other sites based on demand and requirements., • On-call requirement for P1/Urgent issues outside regular support hours (local business hours)., • Handle operations and customer requirements as per process and agreed SOW., • Excellent communication and conversation skills (Verbal and Written), • Coordination with HCL internal teams, stakeholders, and vendors, • Good documentation skills, • Good working knowledge of MS OFFICE, • Should have a great customer handling skill, • Can drive HCL’s value and its methodology, • Ability to adjust to evolving processes HCL is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation. A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.

Backend Engineer (AI Focus) – New York My client is a well funded early stage startup building a high scale social platform from the ground up. They are focused on building persistent, high performance systems capable of supporting massive real time traffic. Engineers joining my client will have the opportunity to work on a greenfield platform at scale, join a focused and highly capable team, and take ownership of critical backend systems from day one. The environment is fast paced and highly collaborative, with a strong emphasis on building systems that enable AI-driven product experiences, supported by long term financial stability. The Role My client is looking for a Backend Engineer with strong experience in distributed systems and an interest in AI-powered products. You will play a key role in designing and building the core infrastructure that powers real-time, intelligent user experiences at scale. Key Responsibilities • Design, build, and deploy backend services using TypeScript and NestJS with a focus on performance, scalability, and maintainability, • Architect and implement high traffic APIs, authentication systems, and distributed services enabling real-time and AI-enhanced product features, • Model and optimize data systems across relational databases, caches, and event streaming platforms to support both operational workloads and AI-driven insights, • Build resilient, event-driven systems using pub sub patterns and long-lived connections that handle large scale concurrent usage, • Work closely with AWS infrastructure to improve deployment pipelines, scalability, and overall system reliability, • Support backend systems that enable AI and machine learning workflows, including data pipelines and real-time inference services, • Collaborate with a small, high-performing engineering team to make strong technical decisions and execute quickly with high ownership Technical Requirements • Strong expertise in TypeScript, Node.js, and NestJS, with the ability to design and build production grade backend systems, • Proven experience implementing secure authentication systems using OAuth, FIDO2 or WebAuthn, and JWT, • Hands on experience working with Prisma ORM, PostgreSQL or Aurora, Redis, and DynamoDB across high-scale environments, • Experience with analytics or high performance data stores such as ClickHouse is beneficial but not required, • Strong understanding of distributed systems, including event driven architecture, pub sub patterns, and message brokers such as Kafka or AWS MSK, • Experience building real time systems, • Deep familiarity with AWS and cloud infrastructure, including services such as Aurora Global Database, RDS Proxy, ElastiCache or Valkey, EKS, and Terraform, • Experience working with observability tooling such as LGTM stack and implementing modern CI/ CD pipelines, • Proven track record of building external facing systems where performance, concurrency, and reliability are critical

As a Data Science/Data Engineer Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience. RESPONSIBILITIES • Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling., • Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks., • Help implement data quality checks, validation routines, and monitoring for automated data workflows., • Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices., • Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development., • Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake., • Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL., • Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets., • Participate in model development, including data profiling, model training, validation, and interpretation., • Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk., • Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value., • Collaborate with business leaders to translate insights into operational improvements and cost efficiencies. QUALIFICATIONS • Currently pursuing or recently completed a Master’s in Data Science, Computer Science, Statistics, Economics, or related field., • Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL., • Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment., • Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development., • Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred., • Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus., • Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects., • Strong analytical, communication, and problem-solving skills., • A self-starter mindset, with attention to detail and enthusiasm for learning new technologies. SALARY RANGE The pay range for this position is $35 hourly. ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent."

Sr Production Engineer Duration: 12 Months (with possibility of extension based on performance and business needs.) Location: Remote: US ( Occasional travel to Yahoo offices Sunnywale, Ca or New York, NY) Coding test: Required Pay: $85-$100/Hr How does this role fit within the team/department? This role sits within Yahoo Mail's Production Engineering. Engineers in this role directly support cloud infrastructure reliability, cost efficiency, and automation for one of the world's largest consumer email platforms, serving hundreds of millions of users globally. Overview Of The Team Yahoo Mail Production Engineering manages GCP-based infrastructure including GKE clusters, Compute Engine, Dataproc, Vertex AI and more gcp services. The team is responsible for production reliability, capacity planning, cost optimization, CI/CD pipelines, MLOPS, and infrastructure-as-code across 40+ GCP projects on an extra large, petabyte data size scale. We work in close collaboration with software architects, developers and product managers to deliver end to end results. Primary responsibilities (daily/weekly)? • Operate, monitor, and improve GKE apps, Analytics, and ML production workloads, • Manage Terraform/Ansible/Helm IaC for GCP resource provisioning and policy enforcement, • Participate in on-call rotation for production incidents, • Review and improve CI/CD pipelines for services deployed in Python, Node.js, and Java, • Collaborate with architects and developers on infrastructure architecture and design, • Automate cloud operations through programmable and secure solutions, • Leverage AI-driven tools for development agents, troubleshooting, and automation Key projects or initiatives for the role? • On-prem to GCP migration of large-scale Yahoo Mail workloads, • Analyti- Analytics pipeline and reliability improvementsplatform work (Vertex AI, Generative AI, BigQuery, Looker, Dataproc) Success metrics or KPIs for this role? • On-call incident resolution time and escalation rate (MTTD, MTTR, MTTE), • Terraform/IaC coverage of managed resources, • CI/CD pipeline reliability and deployment velocity, • Progress on on-prem to GCP migration milestones, • Sprint goal achievement (SMART goals per sprint) Technical (Required) • 5+ years in SRE, DevOps, Infrastructure, or Cloud Operations with on-call duties, • GCP services proficiency: GKE, GCE, Networking, Security, CI/CD, and common cloud technologies, • IaC proficiency: Terraform, Ansible, and Helm Charts, • Programming in Python, Node.js, and Java; ability to build CI/CD pipelines in these languages, • Linux, TCP/IP, HTTP, mail protocols, DNS, CDN, load balancers, and troubleshooting, • Experience with large-scale production applications, systems, and networks Technical (Advantageous) • Cloud databases and storage: GCS, Cloud SQL, Spanner, Memorystore, • ML/AI platforms: Vertex AI, Generative AI, BigQuery, Looker, Dataproc, • Cloud Observability and OpenTelemetry, • Proven track record migrating on-prem infrastructure to GCP, • Operational experience in both on-prem and cloud environments Ideal experience level (years, leadership, industries)? 5+ years total cloud/SRE experience, with preference for GCP. Experience at large-scale internet companies with petabytes level data production systems is strongly preferred.

🚀 Agentic AI Engineer🚀 ✨Series A Fintech Start-Up ✨ 💎Equity you WILL realise💎 📍 Manhattan, New York 💸 $200k - $300k depending on level 🧩 $160k equity vested over 4 years 🚨 This is a career-defining role 🚨 This role sits inside one of the fastest-growing Series A Fintech start-ups, building production-grade agentic systems for complex, high-stakes enterprise workflows. The business has scaled at exceptional speed, closed a record-breaking Series A at the end of last year, and is now focused on building an elite engineering team to own the core AI infrastructure end-to-end. 💪 The Environment • Exceptional, high-performing teams, • Engineers work directly with founders daily, • No layers, no slow approvals, no hand-offs The intensity is deliberate. The aim is compression: • Faster learning curves, • Faster iteration cycles, • Faster ownership and decision-making 🧩 What You’ll Actually Be Building You will own and drive large portions of the AI agent infrastructure, from design through to production deployment. • Designing and deploying multi-agent systems, • Building and integrating RAG pipelines, • Creating evaluation frameworks (evals) to measure accuracy, reliability, and safety, • Shipping AI-powered features used by real enterprise customers, • Building backend services and APIs (Python, Django / FastAPI preferred), • Working across the stack — APIs, databases, infrastructure, and deployment pipelines, • Ensuring systems are scalable, performant, and secure in production 🧠 Who This Is For You’ll likely have: • Foundational software engineering experience, • Hands-on experience designing and deploying AI systems into production, end-to-end, • Strong backend engineering skills (Python), • Experience with relational databases, Redis, task queues, and background workers, • Familiarity with Docker, Kubernetes, and modern cloud infrastructure, • Experience with RAG, agent orchestration, and LLM evaluation techniques, • A high tolerance for ambiguity and shifting priorities 🏆 Why Exceptional People Say Yes Top engineers don’t optimise for comfort — they optimise for trajectory. • Talent density permanently raises their bar, • Founder access is direct and unfiltered, • One year of learning feels like several elsewhere, • The experience compounds long after they leave Then this is one of the most compelling Applied AI Engineering opportunities globally right now. #AIjobs #AIhiring #startup

Senior Software Engineer – C Development Work Locations • Berkeley Heights, NJ, • Alpharetta, GA Compensation • Berkeley Heights: ~150K base + incentive, • Alpharetta: ~130K base + incentive Role Overview This position is part of a global technology expansion focused on modernizing and scaling enterprise‑grade payment and acquiring platforms. As a Senior Software Engineer, you will contribute to the development of performance‑critical systems, partnering closely with engineering, product, and operational teams to deliver resilient, scalable solutions that support complex transaction processing environments. Key Responsibilities • Architect, build, and enhance backend software components that support core business platforms., • Translate functional and non‑functional requirements into technical designs and production‑ready code., • Develop, test, and troubleshoot applications with a strong emphasis on reliability, throughput, and latency., • Review existing systems and drive improvements in code quality, maintainability, and performance., • Participate in and lead code reviews, design discussions, and technical problem‑solving sessions., • Provide technical mentorship and guidance to less‑experienced engineers., • Responsibilities may evolve based on business needs and project priorities. Required Qualifications • 6+ years of professional experience in software engineering or application development., • 5+ years of hands‑on development using C., • 3+ years working on high‑volume, low‑latency transactional systems (OLTP environments)., • 3+ years of experience working within Agile delivery frameworks., • Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience. Preferred Qualifications • Background in financial technology or payment processing platforms., • Exposure to additional programming languages such as Java, C#, or C++., • Experience working with relational databases and SQL., • Familiarity with public cloud platforms (AWS, Azure, or GCP)., • Experience with CI/CD pipelines, automation, and modern DevOps practices. Work Arrangement & Eligibility • This is an on‑site role, Monday through Friday. In‑person collaboration is considered essential for onboarding, team effectiveness, and delivery outcomes., • Candidates must have current, unrestricted authorization to work in the United States., • Applicants requiring visa sponsorship now or in the future are not eligible., • This is a full‑time, permanent position. Contract or contract‑to‑hire submissions will not be considered., • Employment offers are subject to standard background screening. Certain roles may require additional government‑mandated checks depending on contract alignment.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Senior Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 5+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview "Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time". As Lead Software Engineer, you will drive technical direction and execution for robust, scalable, and maintainable enterprise software solutions within our cloud-first environment. You will champion engineering discipline by enforcing coding standards, architectural principles, and best practices throughout the development lifecycle. This role is pivotal in guiding engineers, conducting thorough code reviews, leading by example in modern engineering practices, and fostering a culture of continuous improvement and technical excellence. You will also architect and integrate AI-powered features using Azure AI Services, helping deliver intelligent solutions that align with our business objectives. Responsibilities • Lead the design, development, and deployment of cloud-native, full-stack applications with .NET and Azure, ensuring scalability, performance, and reliability., • Establish and enforce coding standards, design patterns, and architectural guidelines across software projects., • Champion best practices in automated testing, CI/CD pipelines, Infrastructure-as-Code (Terraform, Bicep, ARM), and rigorous documentation., • Architect and integrate AI capabilities using Azure AI Services (Cognitive Services, ML, OpenAI, Bot Services) for predictive analytics, NLP, and intelligent automation., • Conduct code reviews, provide constructive feedback, and mentor engineering talent in cloud-native, AI, and agile delivery practices., • Collaborate with product, QA, and cross-functional teams to clarify requirements, refine technical solutions, and deliver features aligned to business needs., • Continuously evaluate and adopt new technologies, tools, and methodologies to improve productivity, quality, and security., • Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline., • 7+ years of hands-on experience in software engineering and architecture, with deep knowledge of .NET (C#, ASP.NET Core) and Azure cloud services., • Advanced proficiency in Azure AI Services for developing and deploying enterprise AI-driven solutions., • Expertise in microservices, API-first design (REST/GraphQL), event-driven systems, and container orchestration (Docker, Kubernetes)., • Proficiency in DevOps, CI/CD, Infrastructure-as-Code, and Agile/Scrum/SAFe methodologies., • Strong code review, testing, problem-solving, and leadership skills., • Experience integrating AI features via REST APIs or SDKs into business applications., • Business Process Management (BPM) implementation experience, especially with Pega, is a plus., • Experience with Python, and familiarity with machine learning/deep learning frameworks such as TensorFlow and PyTorch., • Hands-on with additional BPM tools (Camunda, Appian)., • Front-end frameworks (Angular, React), advanced SQL, and data streaming technologies (Kafka, RabbitMQ)., • Knowledge of data privacy, compliance, and security requirements for cloud and AI adoption. Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $130,000.00 - USD $176,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

We're seeking an experienced Technical Solutions Engineer specializing in SaaS integrations. Familiarity with diverse technical integrations, technologies, and processing environments, including cloud and SaaS technologies. We believe in empowering our customers through inventive solutions and a com

We’re looking for a Junior–Mid Cybersecurity Engineer who is hands‑on with security operations and excited to improve our defenses across cloud, endpoints, identity, and collaboration tooling. An interview with Cybersecurity team member to assess general fit and engineering experience. Discuss

We're seeking a skilled Infrastructure Engineer to join our growing engineering team and take ownership of the Google Cloud Platform (GCP) environments supporting our industry-disrupting analytics platforms. Deep expertise in Google Cloud Platform (GCP), with hands-on experience managing and deployi

Points North is looking for a Senior Platform Engineer who is ready to do work that is both foundational and forward-looking. If you are the kind of engineer who gets energized by bringing structure and reliability to complex cloud infrastructure, who sees a modernization challenge as an opportunity

As a Cloud Infrastructure Engineer, you will be responsible for designing, implementing, and maintaining our cloud infrastructure to support our construction projects. Position: Cloud Infrastructure Engineer. We are seeking a highly motivated and experienced Cloud Infrastructure Engineer to join our

As a Devops Engineer at Flow you will take the lead in growing and supporting our existing Devops infrastructure. The Flow Platform is cloud-based platform-as-a-service (PaaS) built on top of a real-time architecture that enables on-demand stream processing, data routing, and interoperability across

Senior Software Engineer – CXone – Cloud Contact Center .Eventus/Navixus was named the 2024 winner of the Top Certified Implementation Partner by NICE!.Senior Software CXone Engineer.Cloud Contact Center platforms (.In this role, you will be involved in all aspects of Cloud technology for the C