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Job Description Job Description We are looking for a senior ML infrastructure engineer to build and evolve the systems that support model training, deployment, and production usage. This role sits at the intersection of software engineering, infrastructure, ML workflows, and developer experience. The work focuses on production-quality ML systems: reliability, scalability, observability, and usability for the team. You will work on training infrastructure, deployment workflows, model serving, platform tooling, automation, and production reliability. Training deployment is a core focus, and experience with inference deployment is a strong plus. We care about engineering judgment, technical depth, communication, and the ability to turn messy ML workflows into stable platform capabilities. What You Will Own Design, build, and evolve infrastructure for ML training workflows, training deployment, experiment execution, and production handoff. Build and maintain deployment paths for models, jobs, services, and supporting infrastructure across development and production environments. Improve reliability, scalability, observability, and developer experience for ML workflows and platform tools. Define interfaces, automation, metadata, artifacts, configuration, environment management, and lifecycle boundaries for ML systems. Collaborate with research, product, data, and engineering partners to translate incomplete ML workflow needs into maintainable systems. Support production usage by building clear operational tooling, debugging paths, and safe rollout mechanisms. What We Look For Strong software engineering and infrastructure fundamentals, with experience owning production or near-production systems. Practical experience with PyTorch and ML training workflows, including job orchestration, compute environments, artifact management, and deployment automation. Solid understanding of heterogeneous computing and high-performance computing, especially for ML training or serving workloads. Good understanding of model lifecycle concerns: data, configs, checkpoints, artifacts, reproducibility, rollout, rollback, and observability. Ability to build reliable platform abstractions without hiding the important details ML practitioners need to control. Clear technical and product sense: you can prioritize platform work that unlocks real training or deployment velocity. High standards for engineering quality, including tests, documentation, debugging tools, and maintainable system design. Tech Stack You May Work With Python PyTorch Heterogeneous computing and high-performance computing ML training pipelines, job orchestration, compute scheduling, containers, and deployment automation Model artifacts, metadata, storage, experiment tracking, and configuration systems Model serving, inference deployment, APIs, queues, and observability tools Docker, CI/CD, cloud infrastructure, GPUs, and internal platform tooling Bonus Points Experience building training deployment systems, model release workflows, or ML platform tooling for research and production teams. Experience with inference deployment, model serving, online/offline evaluation, performance tuning, or rollout safety. Experience with distributed training, GPU infrastructure, workload scheduling, artifact/version management, or reproducibility tooling. Understanding of CUDA, GPU architecture, or low-level performance optimization. Experience with open-source inference and serving frameworks such as vLLM, TensorRT, Triton, or similar systems. Experience migrating ad hoc notebooks, scripts, or manual ML processes into reliable platform workflows. This Role May Not Be a Fit If You mainly want to train models personally and do not enjoy building infrastructure for others to use. You are comfortable with manual ML workflows and do not care about reproducibility, deployment, or operational quality. You prefer narrow implementation tasks and do not want to reason about system boundaries, platform UX, or long-term maintenance. You over-abstract ML workflows without understanding where researchers and engineers need control and visibility. Why This Role Matters ML teams move faster when training, deployment, and production usage are supported by reliable infrastructure instead of scattered scripts and manual processes. This role will directly shape how models move from experimentation to production, how safely they are deployed, and how efficiently the team can iterate. For the right person, it is a high-ownership platform role with deep impact on both engineering quality and ML velocity. What We Would Like to See When You Apply ML infrastructure, training platforms, deployment systems, or model serving systems you have owned. Examples of how you improved training reliability, deployment velocity, reproducibility, observability, or operational safety. Cases where you turned messy ML workflows into maintainable tools, services, or platform abstractions. Examples that show your technical judgment, communication, and ability to work across research and engineering needs.

Job Description Job Description About the Role Teserac is building neuron , a unified AI-native platform for data center observability, intelligence, and workflow automation. neuron processes real-time telemetry from thousands of sensors, meters, and control systems across heterogeneous environments - giving infrastructure owners the visibility to monitor, analyze, automate, and proactively manage power operations with full situational awareness. An embedded AI teammate serves as every operator's always-on co-pilot: detecting anomalies, correlating events, and surfacing recommendations 24/7. We are seeking an AI/ML Engineer who is excited to build intelligent systems at the intersection of applied AI and critical infrastructure. You will work across the full AI development lifecycle - from data pipelines and model integration to agentic orchestration, evaluation, and production support - collaborating closely with a small, fast-moving engineering team. This is not a research-only role, but research thinking matters here. You will be expected to read papers, stay ahead of the field, and bring ideas to the table - then build them into production systems. Who We Are Looking For We care more about how you think than how many years are on your resume. This role is open to both junior and senior candidates. What matters is: You are genuinely excited about AI and infrastructure - not just one of them You learn fast, go deep, and can hold your own in a technical debate You have the engineering fundamentals to ship reliable systems You are proactive, curious, and comfortable with a steep learning curve You want to work on something technically hard that actually matters in the physical world If you are early in your career but have strong fundamentals, a track record of self-directed learning, and a portfolio that shows you build things - we want to hear from you. What You Will Work On Multi-agent orchestration and LLM-driven triage workflows Time-series modeling for anomaly detection, failure prediction, and health forecasting on multivariate telemetry Retrieval-augmented knowledge systems for operations teams Data and ML pipelines - ingestion, ETL, and dataset construction Fine-tuning and post-training of language models for operational use cases AI observability, evaluation frameworks, and production performance benchmarking Responsibilities Design, develop, and maintain AI-powered applications and automation workflows Integrate and optimize LLM APIs for production use cases Build and refine retrieval and knowledge-augmentation pipelines Develop evaluation frameworks to benchmark AI system performance Implement monitoring, tracing, and debugging capabilities for AI systems Read and synthesize relevant research; bring ideas forward and debate them with the team Contribute to AI architecture decisions and production hardening Stay current with the rapidly evolving AI/ML landscape Requirements Required Degree in Computer Science, Machine Learning, Mathematics, or a related field - or equivalent demonstrated experience Strong proficiency in Python Solid software engineering fundamentals: testing, version control, CI/CD Experience working with LLM APIs in applied contexts Familiarity with agentic system concepts - tool/function-calling, agent frameworks Daily use of AI-assisted coding tools (Cursor, Copilot, Claude Code, etc.) Ability to read ML research papers and translate ideas into practical experiments Strong analytical thinking and clear communication - you can argue a position and update it when wrong Preferred Professional AI/ML engineering experience (any level) Experience building agentic systems using frameworks such as LangGraph or LangChain; MCP a plus Time-series modeling - forecasting and anomaly/failure prediction on multivariate data Experience fine-tuning or post-training language models PyTorch and/or model serving frameworks (e.g., vLLM) Experience building data and ML pipelines - ingestion, ETL, dataset construction Familiarity with cloud ML platforms, particularly GCP (Vertex AI) LLM evaluation and benchmarking: harness design and eval loop development Domain experience with data center or industrial telemetry, BMS/OT protocols (Niagara, BACnet/Modbus) Background in DevOps, distributed systems, or observability tooling Benefits Health Care Plan (Medical, Dental & Vision) Paid Time Off (Vacation, Sick & Public Holidays) Free Food & Snacks Stock Option Plan 401(k)

Job Description Job Description Job Description Senior Engineer, Internal Tools, Artificial Intelligence (AI) Required, Work From Home The Senior AI Engineer is the engineering backbone of the internal tools team. Building and maintaining the platforms that every team in the company relies on. Your work directly increases organizational efficiency and enables teams to move faster. The Senior AI Engineer will own systems end-to-end, from scoping and architecture through production deployment and iteration, connecting multiple business systems into a seamless, reliable internal ecosystem. This position is 100% Remote. Senior Engineer Responsibilities: Build & Ship: - Design, build, and maintain internal platforms and tools that serve People, Finance, Ops, Sales, and Engineering teams. - Own features, end-to-end requirements, architecture, implementation, testing, deployment, and monitoring. - Write clean, well-tested, production-grade code. You hold yourself to the same bar as customer-facing products. Architecture & Integration: - Build API-first integrations across the internal ecosystem connecting HRIS, CRM, finance platforms, knowledge management, and developer tools into a coherent stack. - Design for reliability, performance, and scale what you build today must hold as the company grows 5-10x. - Eliminate data silos. Build clean data pipelines that maintain a single source of truth across systems. - Own your services in production: monitoring, alerting, incident response, and post-mortems. AI & Automation: - Build AI/LLM-powered features into internal workflows, automating approvals, knowledge retrieval, reporting, content generation, and operational processes. - Move fast from prototype to production. You know the difference between a demo and a system that works at scale. - Stay current on emerging AI capabilities and proactively identify where they unlock step-change improvements in internal productivity. Collaboration & Influence: - Work directly with business stakeholders to understand pain points and translate them into technical solutions. You don't wait for a spec you help shape it. - Pair with and mentor junior engineers. Raise the technical bar through code reviews, design reviews, and leading by example. - Influence technical direction: propose architectural improvements, challenge assumptions, and drive best practices across the team. Qualifications Senior Engineer Qualifications: - 5+ years of professional software engineering experience, with meaningful time spent building internal tools, platforms, or business systems. - Artificial Intelligence (AI) experience required. - Strong full-stack or backend engineering skills. Proficient in at least one of: Python, Go, TypeScript/Node.js, or Java. - Solid understanding of Cloud Infrastructure (GCP/AWS/Azure), Containerization (Docker/Kubernetes), CI/CD Pipelines, and modern DevOps practices. - Hands-on experience building and maintaining API integrations between third-party SaaS platforms (e.g., Workday, Salesforce, Slack, NetSuite). - Strong data fundamentals: relational databases, data modelling, ETL/ELT pipelines, and working knowledge of SQL. - Comfort with ambiguity. You can take a vague business problem, break it down, and deliver a working solution without heavy handholding. - Clear communicator who can explain technical tradeoffs to non-technical stakeholders. - Experience with workflow orchestration tools (Temporal, Airflow, Prefect) or integration platforms (Workato, Tray.io, MuleSoft) is a plus. - Frontend experience with React, Next.js, or equivalent modern frameworks is a plus. - Familiarity with HRIS, ERP, or people systems data models and processes is a plus. - Experience at a high-growth or AI-native company is a plus. - Contributions to developer experience tooling, CLIs, or internal SDKs is a plus. - Experience building or integrating AI/LLM-powered features not just experimenting, but shipping to real users is a plus. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Looking to hire a Senior Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Senior Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information Please check out all of our jobs at .

Senior Machine Learning Engineer (AI Foundations) 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. Capital One is accelerating the adoption of state of the art AI research to create simpler, safer banking experiences for over 100 million customers. The AI Foundations team spearheads this mission by developing advanced LLMs and autonomous agentic systems capable of complex reasoning and real world problem solving. Their comprehensive research framework prioritizes foundational model architecture, operational efficiency, and responsible AI practices to ensure all systems are trustworthy and scalable. What You'll Do: 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, 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).

Senior Machine Learning Engineer (AI Foundations) 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. Capital One is accelerating the adoption of state of the art AI research to create simpler, safer banking experiences for over 100 million customers. The AI Foundations team spearheads this mission by developing advanced LLMs and autonomous agentic systems capable of complex reasoning and real world problem solving. Their comprehensive research framework prioritizes foundational model architecture, operational efficiency, and responsible AI practices to ensure all systems are trustworthy and scalable. What You'll Do: 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. We are seeking a highly experienced Senior Site Reliability Engineer - Compute Platforms to design, implement, and support Kubernetes on baremetal and hypervisor platforms in a private cloud environment. This role is responsible for the architecture, design, and standardization of enterprise compute and hypervisor environments spanning bare metal infrastructure, operating systems, hypervisors, private cloud orchestration, and Kubernetes using Infrastructure-as-Code and GitOps practices. This is a deeply technical role requiring expert-level understanding of compute hardware management, Kubernetes, OpenStack, hypervisors and extensive working knowledge on Linux Operating systems. You will also collaborate with platform and SRE teams to maintain secure, performant, and multi-tenant-isolated services that serve high-throughput, mission-critical applications. Key Responsibilities Lead the architecture and design of enterprise compute and hypervisor platform solutions across hardware, OS, virtualization, cloud orchestration, and container orchestration layers Define standards and automation frameworks for bare metal provisioning and lifecycle management Design and implement Bare Metal as a Service (BMaaS) capabilities for scalable infrastructure consumption Architect and design Kubernetes platforms on bare metal with QoS and Affinity (ArgoCD) Architect and validate automated deployments of operating systems and hypervisors including Ubuntu and Harvester Design and maintain PXE-based provisioning environments leveraging Redfish APIs for large-scale server deployments Develop Infrastructure-as-Code using Ansible, Terraform, Helm and Git, with Python/Bash automation. Implement CI/CD pipelines for infrastructure updates, patching, upgrades, testing, and rollback. Design automated workflows for server build, firmware lifecycle management, patching, and hardware validation Evaluate and standardize enterprise hardware platforms to meet performance, scalability, and reliability requirements Produce detailed high-level and low-level design documentation , build guides, and operational handoff materials Perform deep troubleshooting across storage, Kubernetes, hypervisors, networking, and Linux systems Partner with operations, network, storage, and platform teams to ensure designs are supportable and production-ready Participate in on-call escalation support for complex platform-related issues Collaborate globally on change management , documentation, and operational best practices Minimum Qualifications 6 + years of experience in infrastructure engineering, platform engineering, or DevOps with a strong focus on Compute system design Proven experience designing and automating bare metal compute environments at scale Strong hands-on experience with PXE boot, network-based OS provisioning, and automated server imaging Experience implementing or supporting Bare Metal as a Service (BMaaS) platforms Practical experience using Redfish APIs for hardware provisioning, power management, and remote lifecycle operations Deep expertise with Ubuntu Linux in enterprise environments Strong Hands-on experience with KVM hypervisors (Suse Harvester, OpenStack). Experience designing and deploying production-grade Kubernetes clusters Strong background with enterprise compute hardware platforms , including Cisco UCS, Dell PowerEdge, Supermicro systems & HPE Proficiency with Infrastructure as Code tools (e.g., Terraform, Ansible, or similar) Experience building or supporting CI/CD pipelines for infrastructure and platform automation Strong scripting skills in Python, Bash, or similar languages Demonstrated ability to produce clear, structured technical design documentation Excellent written and verbal communication skills Bachelor's degree in computer science or equivalent professional experience Preferred Qualifications OpenStack, Ubuntu KVM administration. BareMetal as a Service (PXE, Redfish). Kubernetes on BareMetal CIS/NIST security and infrastructure lifecycle management. ITIL Foundation/advanced certifications in support of ITSM standard methodology. Background in telco, edge cloud, or large enterprise environments. Ubuntu Certifications, CNCF Certified Kubernetes Administrator (CKA), Certified Kubernetes Security Specialist (CKS) Master's degree in computer science, IT, Engineering, or a related field preferred; equivalent experience and relevant industry certifications will also be considered What You'll Get A collaborative team that's deeply invested in infrastructure excellence. Complex technical challenges that require creative, scalable solutions. The opportunity to shape a next-generation private cloud platform-built reliability Access to the latest tools, frameworks, and upstream project developments Skills and Attributes: Analytical Thinking & Problem Solving: Demonstrated ability to translate complex, cross-domain requirements into scalable and resilient cloud infrastructure and automation solutions Collaboration & Teamwork: Strong interpersonal and communication skills with a proven track record of effective collaboration across multidisciplinary teams, including developers, operations, security, and product stakeholders Mentorship & Leadership: Passionate about knowledge-sharing and mentorship, with experience guiding junior engineers and fostering a team culture of continuous learning, innovation, and technical excellence in cloud engineering and DevOps practices Work Location: This role is fully remote for candidates who reside outside the 30 mile radius of one of our offices. For candidates who reside within a 30 mile radius of one of our offices, this role is Hybrid and would require 3 days a week (T, W, TH) in office. As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process. Additionally, the total compensation package for this position may also include an annual performance bonus, stock, and/or other applicable incentive compensation plans. Our total reward package also includes: Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching. Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching and self-guided mindfulness exercises for all covered employees and their covered dependents. Generous employee stock purchase plan. Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave. All compensation and benefits are subject to the requirements and restrictions set forth in the applicable plan documents and any written agreements between the parties. The US base salary range for this role is below. $82,300-$228,800 USD Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer. View our privacy policy, including our privacy notice to California residents here: -pt/legal. Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.

Senior 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. 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 8 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 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences 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 Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description Company Description Company Overview FPC Global are the world's leading digital building experts, we offer full-service integrated technology consultancy and professional services to the built environment. We partner with global clients to improve asset performance, operational efficiency, sustainability outcomes, and digital maturity across complex portfolios. Job Description The Senior Digital Buildings Engineer contributes to integrating various BMS, IoT devices, and facility management systems into a cloud platform, working across different vendors and ecosystems. This platform-agnostic role enables secure, seamless data flow for analytics, remote monitoring, and operational efficiency. The engineer collaborates with global teams across IT, security, and infrastructure, engaging with multiple cloud environments (AWS, Azure, Google Cloud) and diverse technologies. The role requires strong technical adaptability, quick decision-making, and effective communication to support smart, data-driven building operations. In addition to client-facing roles and responsibilities, Senior DB engineer is expected to be an active member of the Digital Buildings Engineering team, to make a positive contribution to the development of the team and wider FPC business, working effectively with all FPC colleagues to successfully deliver projects and support FPC's business objectives. Key Responsibilities The responsibilities for the Senior Digital Buildings Engineer include, but are not limited to, the following key areas: To ensure smooth integration, optimization, and security of applications on cloud platforms. Troubleshoot issues, manage performance, and align cloud solutions with business objectives. Delivery of technical and some non technical (as training and knowledge allows) related engineering Services and projects for clients in accordance with the Proposal, Scope of Work (SoW) and/or Engagement Letter. Manage own workload, communicating and escalating any issues to line manager accordingly Performance Evaluation Audits Carry out research and technical analysis across engineering systems to inform project work. Conduct non-intrusive on-site physical building inspections and remote network discoveries to identify all IP-capable IoT/OT devices and control systems (BAS/BMS, HVAC, Lighting, EMS). Map exact physical device locations and compile comprehensive site data registers Interview local facility management teams and sub-contractors on-site to document localized network architecture and configuration parameters. Promptly escalate any critical operational, energy performance, data anomaly or cybersecurity risks identified during field deployment to senior technical governance teams. Lead the production of technical reports, documentation, and project outputs. Building System Integration Assess and analyze existing building systems, including BMS, HVAC, lighting, energy, and IoT devices. Map and document building systems architecture to ensure compatibility with cloud migration strategies. Cloud Onboarding & Configuration Configure cloud infrastructure to receive and process data from various building systems. Develop and implement data flow protocols from on-premises building systems to cloud platforms, ensuring data quality and integrity. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to set up required services, storage, and data processing pipelines. Data Management & Security Ensure compliance with cybersecurity and data privacy policies in data transfer and cloud storage. Implement encryption, authentication, and access control measures to protect building and operational data. Data Analytics and Reporting Analyse system data to generate insights on performance, sustainability, and operations. Prepare detailed reports on building operations for stakeholders. Preferred knowledge of Apps Scripts Collaboration & Stakeholder Engagement Liaise with IT, facility management, and operations teams to understand building system requirements and constraints. Provide technical support and training to on-site staff on cloud-based building management tools. Testing & Troubleshooting Conduct pre- and post-onboarding testing to validate data integrity and system performance. Identify, troubleshoot, and resolve issues related to data transmission, system compatibility, and network connectivity. Documentation & Reporting Maintain comprehensive documentation of onboarding processes, system configurations, and cloud settings. Generate regular reports on onboarding status, system performance, and key metrics Mentorship Mentor and train DB engineers, sharing knowledge and best practices to enhance the overall capabilities of the team. Act as a subject matter expert, supporting the team in complex problem-solving and guiding them in engineering solutions and customer service excellence. Lead knowledge-sharing sessions and help develop documentation and training resources for ongoing team development. Innovation & Culture Contribute to improving project delivery processes, tools, and frameworks Support lessons learned, knowledge sharing, and continuous improvement initiatives Encourage adoption of best practices and efficient ways of working Promote a collaborative and high-performance team culture FPC Corporate Responsibilities Represent FPC professionally in all client and internal interactions Lead and support project teams, fostering collaboration and performance Adhere to company policies, governance standards, and reporting requirements Support continuous improvement across delivery operations Qualifications Skills and Experience Essential: Bachelor's degree Controls engineering or a related field. Industry Expertise Typically 7-12 years of experience in design and configuration of building automation systems, cloud integration, or IT infrastructure roles. Systems Integration related projects or related industries such as Architecture, MEP Engineering Design or Construction. Strong understanding of MEP Engineering, cybersecurity best practices, energy performance analytics. Knowledge of edge computing and data preprocessing methods for IoT systems. Technical Skills Basic technical understanding in delivering digital / smart building and IoT technology projects, including some or all of the following: Digital Building Systems Integration design, development and implementation Digital Building Controls Systems Cybersecurity best practices IP Networking (IPV4, IPV6, Switching, Routing, DHCP, WiFi, Structured Cabling, etc.) System Audits & Site Surveys Soft Skills Analytical Skills: Ability to interpret building performance data, identify trends, and develop actionable insights for continuous improvement. Client-Focused: Excellent client relationship management skills with the ability to communicate technical information effectively. Process Improvement: Proven experience in understanding and contributing to SOPs, MOPs, and RACIs, with a focus on process optimisation and standardisation. Problem Solving: Strong troubleshooting skills with a proactive approach to resolving technical issues remotely. Leadership and Mentorship: Proven ability to lead, mentor, and develop junior team members in incident management and operational best practices. Desirable: Experience with BMS systems like Niagara, Delmatic, Delta, LoRaWAN. Certifications in any of these are beneficial . Cloud platforms (AWS, Azure, or Google Cloud) and relevant cloud services (data storage, IoT hubs, etc.). Certification in any of the cloud platforms is beneficial. Personal Attributes Highly professional, with unwavering honesty and integrity. Exceptional communicator and client-relationship builder. A continuous and agile learner. A systems thinker with attention to detail. A strategic thinker with the ability to translate vision into action. Success Measures To be agreed with role specific assignments and career planning with the hiring manager. Additional Information At FPC, we're not just a company - we're a thriving community of technology and engineering specialists where innovation flourishes, ideas are celebrated, and careers are shaped. When you join us, you become part of a dynamic team that: Shapes the Future: Work on groundbreaking projects that are redefining industries with sustainability, cutting-edge technology, and bold ambition. Supports Your Growth: From leadership training to cross-functional collaboration, we prioritize your professional development and empower you to explore new ideas, take initiative, and grow in your career. Values Balance and Inclusion: We celebrate diversity, foster collaboration, and ensure every voice is heard-while maintaining a strong commitment to work-life balance. Creates Impact: Contribute to the delivery of iconic, high-performance buildings and innovative solutions that have a lasting, positive impact on the world.

Job Description Job Description Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new. Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward-always. Together: The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise. Job Summary: We are looking for an Sr. Cloud Engineer who has hands-on experience building and managing a cloud-based infrastructure. Additionally, this engineer will be responsible for development cycles in integration/continuous deployment mode, process monitoring, and more broadly, constructing a "safety culture" within the SmithRx's DevSecOps practice. Our user base is currently doubling annually, and you would share the responsibility of orchestrating a reliable, sustainable, and scalable infrastructure. What you will do: Help build and maintain a container based infrastructure that is elegant, redundant, scalable and compliant, and support the rest of the team doing the same. Be part of SmithRx Agile development team to deliver an end-to-end automation of deployment, monitoring, and infrastructure management in AWS. . Gain a deep understanding of the challenges that SmithRx faces, technical and otherwise; collaborate with other teams to identify and carry out effective solutions. Work closely with our development team to develop and maintain CI/CD pipelines in a reproducible and secure manner. Monitor and troubleshoot infrastructure issues, and perform root cause analysis when necessary. Collaborate with developers to ensure that applications and services are built with scalability, reliability, and security in mind. Organize the highest levels of systems and infrastructure availability, acting proactively Be a pillar of a collaborative learning culture through exploration of new technologies, application of best practices, and any other innovations you would like to experiment with. Develop custom scripts to increase system efficiency and lower the human intervention time on any tasks Be effective in maintaining SmithRX security program controls and best practices. Understand the health regulatory space and maintain continuous compliance on frameworks like HIPAA, and SOC2. Make pragmatic decisions about technical tradeoffs, infrastructure costs, and resource utilization. Be a part of on-call PagerDuty rotations. What you will bring to SmithRx: 5+ years of experience in Cloud Engineering. BS or advanced degree in computer science or other related field. Extensive experience working in containerized Cloud Native environments, specifically AWS and Kubernetes/EKS. Experience using modern monitoring tools like Cloudwatch, Event Bridge, DataDog etc., and establishing metrics, monitoring, alarming and dashboards. Experience managing change management practices, policies and procedures. Experience deploying and monitoring applications in AWS at scale. Security first mindset, including demonstrated experience building secure development and test environments integrated to CI/CD pipelines and software release cycles. Experience building and maintaining a container based infrastructure and Kubernetes Experience with Infrastructure as Code (Terraform experience a plus), DevOps, SRE concepts and best practices. Experience with infrastructure automation, systems reliability, load balancing, monitoring, logging. Experience with FinOps practices and establishing related governance programs. Experience with fully automating CI/CD pipelines with associated tools such as GitHub Actions. Experience working in and architecting for regulated environments with data privacy regulations like GDPR, HIPAA preferred. Experience working and managing SQL and NoSQL databases like RDS, Redis, Redshift, DynamoDB PostgreSQL, BigQuery, and Snowflake Strong scripting skills in Python, Shell etc. What SmithRx Offers You: Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance Flexible Spending Benefits 401(k) Retirement Savings Program Short-term and long-term disability Discretionary Paid Time Off Paid Company Holidays Wellness Benefits Commuter Benefits Paid Parental Leave benefits Employee Assistance Program (EAP) Well-stocked kitchen in office locations Professional development and training opportunities Location: U.S. Remote Compensation & Benefits Base Salary: The range listed above reflects our standard pay scale and actual pay will vary based on work location, job level, job-related knowledge, skills, and experience. Total Rewards: In addition to base pay, this role may be eligible for bonuses, commissions, or equity. SmithRx offers a variety of benefits to help you live well, including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance and 401(k). Individual offers are tailored to your geography, experience, skills, and education. Your recruiter can share more specific details during the hiring process. In the meantime, feel free to explore our comprehensive benefits here.

Senior 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. 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 8 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 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences 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 Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new. Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward-always. Together: The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise. Job Summary: We are looking for an Sr. Cloud Engineer who has hands-on experience building and managing a cloud-based infrastructure. Additionally, this engineer will be responsible for development cycles in integration/continuous deployment mode, process monitoring, and more broadly, constructing a "safety culture" within the SmithRx's DevSecOps practice. Our user base is currently doubling annually, and you would share the responsibility of orchestrating a reliable, sustainable, and scalable infrastructure. What you will do: Help build and maintain a container based infrastructure that is elegant, redundant, scalable and compliant, and support the rest of the team doing the same. Be part of SmithRx Agile development team to deliver an end-to-end automation of deployment, monitoring, and infrastructure management in AWS. . Gain a deep understanding of the challenges that SmithRx faces, technical and otherwise; collaborate with other teams to identify and carry out effective solutions. Work closely with our development team to develop and maintain CI/CD pipelines in a reproducible and secure manner. Monitor and troubleshoot infrastructure issues, and perform root cause analysis when necessary. Collaborate with developers to ensure that applications and services are built with scalability, reliability, and security in mind. Organize the highest levels of systems and infrastructure availability, acting proactively Be a pillar of a collaborative learning culture through exploration of new technologies, application of best practices, and any other innovations you would like to experiment with. Develop custom scripts to increase system efficiency and lower the human intervention time on any tasks Be effective in maintaining SmithRX security program controls and best practices. Understand the health regulatory space and maintain continuous compliance on frameworks like HIPAA, and SOC2. Make pragmatic decisions about technical tradeoffs, infrastructure costs, and resource utilization. Be a part of on-call PagerDuty rotations. What you will bring to SmithRx: 5+ years of experience in Cloud Engineering. BS or advanced degree in computer science or other related field. Extensive experience working in containerized Cloud Native environments, specifically AWS and Kubernetes/EKS. Experience using modern monitoring tools like Cloudwatch, Event Bridge, DataDog etc., and establishing metrics, monitoring, alarming and dashboards. Experience managing change management practices, policies and procedures. Experience deploying and monitoring applications in AWS at scale. Security first mindset, including demonstrated experience building secure development and test environments integrated to CI/CD pipelines and software release cycles. Experience building and maintaining a container based infrastructure and Kubernetes Experience with Infrastructure as Code (Terraform experience a plus), DevOps, SRE concepts and best practices. Experience with infrastructure automation, systems reliability, load balancing, monitoring, logging. Experience with FinOps practices and establishing related governance programs. Experience with fully automating CI/CD pipelines with associated tools such as GitHub Actions. Experience working in and architecting for regulated environments with data privacy regulations like GDPR, HIPAA preferred. Experience working and managing SQL and NoSQL databases like RDS, Redis, Redshift, DynamoDB PostgreSQL, BigQuery, and Snowflake Strong scripting skills in Python, Shell etc. What SmithRx Offers You: Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance Flexible Spending Benefits 401(k) Retirement Savings Program Short-term and long-term disability Discretionary Paid Time Off Paid Company Holidays Wellness Benefits Commuter Benefits Paid Parental Leave benefits Employee Assistance Program (EAP) Well-stocked kitchen in office locations Professional development and training opportunities Location: U.S. Remote Compensation & Benefits Base Salary: The range listed above reflects our standard pay scale and actual pay will vary based on work location, job level, job-related knowledge, skills, and experience. Total Rewards: In addition to base pay, this role may be eligible for bonuses, commissions, or equity. SmithRx offers a variety of benefits to help you live well, including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance and 401(k). Individual offers are tailored to your geography, experience, skills, and education. Your recruiter can share more specific details during the hiring process. In the meantime, feel free to explore our comprehensive benefits here.

Senior 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 will bridge the gap between cutting-edge consumer personalization models and robust infrastructure engineering, leading your team to build intelligent, real-time digital experiences across Mobile, Web, and Email. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. About the team: Within Card Tech, the Customer Intelligent Decisions & Experiences (CIDX) team is building the next generation of large-scale, Reinforcement Learning-based recommender systems that will power personalized experiences across marketing, customer servicing, and digital products for millions of Card and MainStreet customers. We directly contribute reusable capabilities to a Capital One-wide Experimentation Platform, enabling users across the enterprise to leverage machine learning for a variety of use cases. What You'll Do: 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 8 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 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion 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 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, 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).

Senior 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. 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 8 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 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences 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 Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, 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).

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Information security is an integral part of Visa's corporate culture. It is essential to maintain our position as an industry leader in electronic payments, and it is the responsibility of each employee to safeguard information, protect it from unauthorized access, and ensure regulatory compliance. Information security has a significant effect on privacy, consumer confidence, external reputation, and/or the bottom line, and it is a priority on everyone's agenda. The successful incumbent will be part of Visa's Business to Business Identity & Access Management team, which is part of the larger Cybersecurity organization. The B2B IAM team has a Global focus, and is responsive to an evolving threat landscape, regulatory compliance, IT security requirements and technology architecture. The B2B IAM team is responsible for secure access to business portals and associated services. Essential Functions: Support and maintain QA and test environments by troubleshooting integration issues, ensuring application uptime, performing root cause analysis, and maintaining stability that reflects production-like conditions. Assist in configuring and maintaining test environments, including data setup and test account provisioning. Develop and execute functional and regression test plans for Java/.NET core-based Business-to-Business (B2B) Identity and Access Management (IAM) systems. Participate in test planning and author test cases, test scripts, and automated tests, perform performance testing and analyze results. Create and maintain test cases and test plans in alignment with business requirements and product features. Conduct API testing utilizing tools such as Postman, SoapUI, and OpenAPI. Contribute to the automation framework, including Selenium (Java) and Postman/Newman, with guidance from senior team members. Develop and maintain CI/CD test pipelines using Jenkins. Design and execute performance and stress tests to identify and address potential bottlenecks, employing tools such as JMeter and LoadRunner. Engage in Scrum ceremonies, cross-functional demonstrations, and collaborate with developers, product owners, and stakeholders. Provide feedback on development code and test designs, supporting continuous improvement. Help conduct post-deployment testing to validate production release and ensure no regressions. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • Bachelor's degree OR 3+ years of relevant work experience. Preferred Qualifications • 2 or more years of work experience. • Experience or familiarity with Generative AI, prompt engineering, and emerging coding practices. • Experience working with relational databases (RDBMS) and writing basic SQL queries. • Experience with REST API testing and automation. • Experience testing software at the API level using tools such as Postman, SoapUI, or JMeter. • Experience with performance testing tools such as JMeter, LoadRunner, or similar. • Experience in building and executing automated tests for Java/.NET Core applications and REST-based services. • Experience with OpenAPI, Selenium (Java), or comparable testing frameworks. • Familiarity with Zephyr or similar test management tools. • Experience using Eclipse or other IDE tools for development and debugging. • Experience with distributed version control systems such as GitHub or Bitbucket. • Familiarity with code quality governance tools such as Sonar, FindBugs, or Checkmarx. • Familiarity with Continuous Integration (CI) tools such as Jenkins and Artifactory. • Familiarity with containerization tools such as Docker and Kubernetes. • Familiarity with Agile methodologies and tools such as Jira and Wiki. • Ability to perform root cause analysis and collaborate with developers to resolve issues. • Basic understanding of secure software development practices (SSDLC). • Strong communication and collaboration skills to work with cross-functional teams. U.S. Applicants Only The estimated salary range for this position is $76,200.00 to $ 118,100.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

Job Title: Senior Angular Developer Location: Pennington, NJ / Charlotte, NC - Onsite required Duration: Contract - 12 months (August start) Pay Range: $60.28/hr (W2) Job ID: 407720 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Solution Architect / Senior Solutions Engineer to join our dynamic team supporting the Environmental & Social Business Advisory Portal. The ideal candidate will have strong experience in Angular UI development and Core Java/Spring Boot integration and a proven ability to design, build, and deliver secure, scalable software that meets functional, non-functional, and compliance requirements. Responsibilities: Design, develop, and deliver complex, scalable UI solutions using Angular, integrating with Java Spring Boot APIs and microservices. Ensure solutions meet functional, non-functional, security, and compliance requirements with clear, well-tested interfaces. Contribute to story refinement, requirement definition, and estimation across the delivery lifecycle. Drive best practices in design, coding standards, unit testing, and seamless system integration. Enhance automated test suites including integration, regression, and performance tests; analyze results and triage defects. Document and communicate deployment, maintenance, support, and business functionality requirements. Adopt modern engineering practices including cloud-native development, containerization, CI/CD, and AI-assisted tools. Required Skills & Qualifications: 7+ years of Angular development building scalable enterprise UI applications. 3+ years integrating with Java Spring Boot APIs and microservices architectures. 2+ years performance tuning and optimizing Angular applications. Strong experience with OAuth2 / OIDC security integration. Experience with Jasmine, Karma, or similar frameworks for front-end test automation. Proficiency in JavaScript, TypeScript, HTML, and CSS with cross-browser compatibility. Preferred Skills: Containerization with Docker and deployment on Kubernetes or OpenShift. Familiarity with cloud-native design and microservices patterns. Hands-on CI/CD using GitHub Actions, Jenkins, or similar. Experience using GitHub Copilot or similar AI-assisted development tools. Exposure to AI/ML-enabled applications, automation, or intelligent assistants. Desired Qualifications: Proven experience building end-to-end applications with front-end and backend integration. Experience with performance and load testing. Strong understanding of responsive design and UI performance optimization. Ability to troubleshoot production issues and drive root cause analysis. Effective collaboration and communication across cross-functional teams. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

Immediate long term contract opportunity for Senior Azure Cloud Engineer with direct client in Philadelphia, PA. Trigyn has a long-term contract opportunity for Senior Azure Cloud Engineer with our direct client - a major utility services firm based in Philadelphia, Pennsylvania. Details on the role are listed below: Description: We are seeking a Senior Azure Cloud Engineer to operate, enhance, and expand our existing Azure environment. This role will take ownership of day-to-day Azure infrastructure operations while driving improvements, supporting new projects, and making sound architectural decisions. Responsibilities: • Operate and maintain the existing Azure landing zone and subscription structure • Ensure high availability, performance, and reliability of Azure workloads • Manage core services including networking, compute, storage, identity, and monitoring • Serve as the primary Azure subject matter expert • Design and implement new Azure infrastructure as business needs arise • Extend and evolve the current landing zone architecture • Lead infrastructure components of application deployments • Evaluate new Azure services and recommend adoption where appropriate • Make architectural decisions aligned with best practices and long-term scalability • Partner with security teams on hardening initiatives • Manage Azure networking including VNet peering, private endpoints, NSGs • Automate operational tasks using PowerShell or Azure CLI • Standardize deployment patterns and documentation • Manage Azure Monitor and Log Analytics • Implement proactive alerting and health monitoring • Manage budgets, reservations, and cost reporting Required Skills: • 6-8 years of overall infrastructure experience • 4+ years of hands-on cloud (MS Azure specifically) experience in production environments • Experience operating and improving an existing Azure landing zone • Strong Azure networking knowledge (VNet peering, VPN, Private Endpoints, NSGs) • Experience with Azure Policy, RBAC, and governance frameworks • Infrastructure as Code experience (Terraform strongly preferred) • Strong PowerShell or Azure CLI automation skills • Experience supporting hybrid cloud environments • Strong troubleshooting and problem-solving skills • Monitor server performance, diagnostic tests, and failovers. • Collaborate with different teams to troubleshoot applications. • Participate in disaster recovery exercises • Administer and maintain hybrid identity solutions (Entra ID / Azure AD Connect) and cloud-only identity environments. • Provide administration and policy management for Microsoft 365 services including Exchange Online, Teams, and Intune. • Experience with managing devices and policies in Intune. • Lead Office 365 projects as the primary contact for technical support. TRIGYN IS AN EQUAL OPPORTUNITY EMPLOYER About Trigyn: Trigyn is an IT Services Company that has been in business for 30 years with more than 1,500 resources deployed today. Trigyn is ISO 9001:2015, ISO 27001:2013 (ISMS) and CMMI Level 5 Certified. Trigyn is an E-Verify Employer.

Lead - Cloud Operations Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States. A Career that Empowers You to Build Your Future Step into a role as a Cloud Operations - Lead Engineer, where you will balance hands-on engineering with technical leadership across our hybrid cloud estate comprised of AWS, Azure, and on-premises data centers. You will be the go-to resource the Cloud Operations team relies on to help drive best practices within operations, automation and self-healing, mature disaster recovery practices, and establish observability standards with well-defined SLAs and SLOs for our infrastructure and cloud workloads. You'll also help lead cloud migration initiatives that modernize and consolidate our environments, paving the way toward engineering management roles. Your Responsibilities on the Team Serve as the senior technical lead across the Cloud Operations portfolio of AWS & Azure. Taking delegated initiatives and driving them to completion. Lead day-to-day operations, optimization, and incident response across cloud and on-premises environments. Help plan and execute the migration of workloads from on-premises data centers and Azure into AWS as the primary cloud platform. Propose, design, and implement automation, self-healing, and auto-remediation to reduce manual toil and improve reliability. Architect and maintain infrastructure as code using Terraform, with version control and CI/CD delivered through GitHub, Terraform, and Spotify Backstage. Design, document, and test disaster recovery, backup, failover, and business-continuity strategies across cloud and data center environments. Set and uphold server administration standards for Linux and Windows, including server patching and lifecycle management. Oversee data center operations with a focus on storage, virtualization, and capacity management, supporting hybrid integrations with cloud platforms. Partner with security, platform, DevEx, and application teams to embed best practices in reliability, observability, governance, and cost optimization. Mentor engineers and grow the team's technical depth across the cloud operations domains. Experience maintaining and improving Citrix and/or comparable DaaS solutions a plus. Requirements Bachelor's degree in Computer Science, Information Technology, or related field preferred. 8+ years of experience in cloud operations, infrastructure, or systems engineering, including hands-on work in AWS and Azure. Broad, hands-on expertise across multiple cloud operations domains: AWS and Azure; Linux and Windows server administration; patching; virtualization and storage; experience with Database systems a plus (MSSQL/Postgres). Proven experience with infrastructure as code (Terraform) and version control/CI-CD workflows in GitHub. Demonstrated experience designing and implementing automation, self-healing, and disaster recovery in production environments. Experience leading or supporting large-scale cloud migrations (data center and multi-cloud into a primary cloud platform). Proficiency in scripting (Python, PowerShell, Bash) for automation and integration. Strong communicator and mentor able to take delegated initiatives and lead them independently. Certifications (one or more preferred): AWS Solutions Architect - Professional; Microsoft Azure Administrator or Azure Solutions Architect Expert; HashiCorp Certified: Terraform Associate. Physical & Office/Site Presence Requirements This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary. This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities, and activities may change at any time with or without notice. Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

Job Title: Senior Python Developer / Python Quant Developer Location: Jersey City, NJ Duration: Contract - 12 months Pay Range: $68.25/hr (W2) Job ID: 407699 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an Application Programmer III to join our dynamic team. The ideal candidate will have strong experience in Python, distributed computing, and capital markets domains and a proven ability to deliver resilient, compliant solutions that enable pricing, risk, and PnL calculations. Responsibilities: Contribute to story refinement and definition of requirements. Estimate work and guide the team through delivery lifecycle activities. Perform spikes and proofs of concept to mitigate technical risk. Design and code solutions with unit tests that satisfy acceptance and compliance criteria. Leverage multiple architectural components across data, application, and business layers. Resolve technical complexities and enable team progress on story work. Design, develop, and modify architecture components, application interfaces, and solution enablers while preserving architectural integrity. Build and maintain automated test suites including integration, regression, and performance tests. Establish and enhance CI/CD pipelines and automate release activities. Mentor software engineers and coach the team on CI/CD and automation practices. Required Skills & Qualifications: Proficiency in Python or similar programming languages. Understanding of grid, distributed, parallel, and high-performance computing concepts. Knowledge of FICC or Equities products in pricing, risk, and PnL domains. Experience with software development, testing, deployment, and support in Agile environments. Track record of delivering high-priority initiatives in a high-performance team. Effective communication and stakeholder collaboration skills. Preferred Skills: Experience with platforms similar to Quartz and risk calculation projects. Demonstrated leadership as a technologist and ability to coach junior developers. Ability to collaborate across technology teams in a financial institution. Role Logistics Start: ASAP. Expected start 2-4 weeks after offer due to business needs. Schedule: Hybrid with a minimum of 3 days per week onsite. Worksite: Jersey City, NJ (NJ2-525-17-01). Verification: Glider Candidate ID Verification required. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume. Please include current location and relocation intent on your resume.

Job Title: Senior SDET/Mobile Automation Engineer Location: Pennington, NJ Duration: Contract - 11 months Pay Range: $68.25/hr (W2) Job ID: 407175 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an experienced Mobile Automation Engineer to join our dynamic team as an Application Programmer III. The ideal candidate will have strong experience in mobile test automation using Java, Appium, and Perfecto, and a proven ability to design, develop, and enhance mobile automation frameworks that ensure software quality across a wide range of mobile devices and tablets. Responsibilities: Lead the design and development of automated testing solutions, including unit, functional, UI, and performance tests for mobile applications. Develop and document UI test automation and framework enhancements in Java with Appium. Implement new testing frameworks and tools to support future products and features. Maintain automated regression suites to align with evolving requirements and features. Participate in code reviews and contribute to standards, procedures, and quality improvement processes. Collaborate closely with Product and Engineering teams to ensure test coverage and quality. Provide leadership and guidance on mobile architecture and automation best practices. Required Skills & Qualifications: 5-7 years of relevant experience. Bachelor's degree or equivalent experience. Proficiency in Java and Shell scripting. Mobile test automation expertise with Appium. Experience with Selenium and TestNG. Hands-on experience building automation frameworks from scratch or using open-source tools. Experience with at least one mobile automation framework: Appium, Espresso, or XCUITest. Experience with CI/CD and source control tools such as Jenkins, Perforce, Git, or Bitbucket. Innovative approach to uncovering issues early in the development lifecycle. Ability to work with limited guidance in a team environment. Experience as an SDET and Manual QA, 5+ years. Ability to use Co-Pilot as required by the team. Preferred Skills: Primary: Perfecto for mobile automation, performance, and monitoring. Secondary: Selenium. Experience with continuous integration and unit testing practices. Strong troubleshooting and issue resolution skills. Effective written and verbal communication. Work Setup & Hiring Process Hybrid schedule with a minimum of 3 days per week onsite in Pennington, NJ. Target start: August. Interview process: 1-2 rounds. In-person and video required. Glider ID verification. Maximum submissions per vendor: 3. Candidate Submission Notes Include current location and relocation plan on the resume. List availability, potential start date, and any cooling-off requirements. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

Position Title: Senior Staff Systems Engineer - B2B Communications Description: Senior Staff Systems Engineer - B2B Communications Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) Senior Staff Systems Engineer - B2B Communications is responsible for working with various application owners, project leaders, vendors and customers responsible for establishing data exchange connections with trading partners (customers, vendors, and logistics companies) to facilitate integration of Penske and trading partner's applications and data. They need to configure, test, and provide on-going support for these connections. They are considered technical experts and are expected to work with cross functional teams to make technology recommendations and analyze system and infrastructure issues. Assist, and in some cases own, the setting of new infrastructure standards and best practices for designing complex infrastructure landscapes. Senior Staff Systems Engineer - B2B Communications evaluates and researches infrastructure technology H/W and S/W solutions and develops frameworks and recommends integration and deployment strategies based on business needs. They will be required to lead large IT based projects mainly focusing on new business startups, newly introduced technologies and system upgrades. Their efforts often require cross-functional involvement with various teams within and outside of IT. They are the owner for the development of standards and best practices and are a liaison between Technology Services and the rest of the IT department. Data Exchange Senior Staff Systems Engineer takes a broad picture approach and aligns the technology strategy with the business strategy and infrastructure roadmaps. Major Responsibilities: • Architecting, managing, maintenance, and support of Company's 3rd Party data exchange and integration technologies. • Ensures proper change management processes are always followed • Analyze system / software performance Adjust based on any identified problems Insure it is utilized at its highest capacity • Perform disaster recovery and testing • Implement Automation of tasks leveraging PowerShell / PowerCli / BASH • Provide project planning with the ability to follow organizational processes • Consistently communicate with client groups to determine needs • Consistent communication of project status to management and customers • Communications skills both written and verbal throughout a project and when providing support • Other duties / projects as assigned by the supervisor / manager Qualifications: • Required experience in the following hardware / software: Windows / RedHat Server operating systems Network Interface setup and configurations Microsoft Office Applications (including Visio) Required experience in the following data exchange protocols/tools: • SFTP, FTP, AS2, HTTP/HTTPS, API • Ability to analyze connection logs (either Penske software or those provided by a trading partner) • Beneficial to have experience in OFTP2, MQ • Beneficial to have experience in Kermit, BASH, Curl, Linux and Windows scripting languages • Security (certificates, keys, ciphers, protocol negotiation) • Basic communications infrastructure components (DNS, forward and reverse proxies) • Basic understanding of TCP/IP protocol network topology • Connection debugging tools (TCPDUMP, Wireshark) • Preferred experience in the following hardware / software: 3rd Party warehousing and transportation software products 3rd Party Data Exchange software from Cleo and Software AG • Soft Skills Requirements: Written and oral interpersonal communication skills Strong analytical skills and attention to detail Critical thinking Ability to provide coaching/mentoring to junior level associates Lead cross-functional teams for small and mid-size projects Ability to resolve conflict within a work group Problem solving Customer focus Ability to work independently or on a team Time management and prioritization Project management • Education and Experience Requirements: Bachelor's degree or equivalent experience Green Belt, Black Belt, Lean, or PMP certification preferred 7 years of functional and technical experience which should include at least 2 years of broad infrastructure design experience • Regular, predictable, full attendance is an essential function of the job • Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: • The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. • While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. • Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Function: Software Engineering Job Family: Information Technology Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID: Requirements PI