34 jobs found in Dallas

Position: Infra Automation EngineerLocation: Dallas, TXDuration: 12+ Months Work Authorization: US Citizens, GC, GC-EAD, H1B. Preferred Employment: Corp-Corp, W2 Permanent, W2 Contract Infra Automation Engineer Contract Dallas, Texas - 5 to 7 yrs work experience Ansible tool experience of atleast 2.5 years - Python experience of atleast 2.5 years Experience with object-oriented programming Experience with Ansible, Python, ELK, GIT Develop and maintain Ansible playbooks for continuous integration and continuous deployment. Experience with RestAPIs Experience with shell scripts and PowerShell Must have worked in the IT infrastructure domain Design documentation

Full Job Descripition: Education & Experience: Bachelors degree in engineering or a bachelors degree in technology from a recognized university Candidate should have recent work experience with US-based customers Minimum 10 years of relevant experience is required Technical Skill Requirements: Self-starter, who demonstrates personal initiative Strong Python programming skills Strong AWS development skills Strong CICD skills Dashboard creation using Grafana. Should know EC2, S3, Lambda, RDBs, Aurora Global, DynamoDB, Snowflakes, Quick Sight, Python Flask Excellent communication and organization skills We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Role: Fullstack C# .Net Developer Bill Rate: $71/hour C2C Location: Dallas, TX Duration: 12+ months/ long-term Interview Criteria: Telephonic + Skype Direct Client Requirement Job Details Full stack .Net/C# Developer 6 months with possibility of extension Dallas, TX Rate $68-73/HR Qualifications: 7+ years experience with a high proficiency in designing, developing and testing software in C# Active Directory experience Experience developing, deploying and supporting software across the full Continuous Delivery life cycle Solid experience of version control, continuous integration, deployment and configuration management tools The ability to understand and effectively debug both new and existing software Experience with public cloud environments (Microsoft Azure / AWS Certified Developer or equivalent) Experience with PowerShell software development and automated testing Experience in JavaScript development and Angular or React Bachelor s Degree or similar experience, in Computer Science, Information Technology, Electronics or Communication Must be able to sustain a high rate of workflow and work on multiple projects Preferred Qualifications Experience with public cloud environments (Microsoft Azure / AWS Certified Developer or equivalent) Experience with PowerShell software development and automated testing Experience in JavaScript development and Angular or React Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume is shortlisted, one of our IT Recruiter from my team will contact you as soon as possible Srinivasa Reddy Kandi Client Delivery Manager Valiant Technologies LLC Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law

JOB DESCRIPTION: Bug Fixes in the Databricks environment Ability to Monitoe, Transform and optimize ETL pipelines for Databricks and Knowledge of Data Lakehouse Architecture and knowledge of Pyspark (At least Mid-Level) Experience in complex data migration and familiarity with the knowledge is a plus Ensure data accessibility and integrity for the migrated objects Collaborate effectively with cross-functional teams. Communicate progress and challenges clearly to stakeholders. QUALIFICATIONS: Experience in SQL and Big Data. Proficiency in Spark and Impala/Hive. Experience with Databricks and cloud platforms, particularly Azure. Good understanding of data modeling concepts and data warehouse designs. Excellent problem-solving skills and a passion for data accessibility. Effective communication and collaboration skills. Experience with Agile methodologies. We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Contract: 6-month initial term with conversion potential Work Authorization: Must be authorized to work in the U.S. without sponsorship requirements Ellofant is a modern consulting firm built for those who want to do work that actually moves the needle. We help companies navigate change, complexity, and scale through a blend of strategic thinking, trusted technology, and hands-on execution. Our clients rely on us not just for advice, but for building systems, launching products, and driving outcomes that matter. At Ellofant, we value clarity over jargon, momentum over perfection, and people over process. Were looking for curious, driven individuals who want to solve real problems with real impact. If you're excited about challenging whats possible and delivering meaningful change while you're at it, Ellofant might be your next move. About the Role We're seeking an experienced Site Reliability Engineer to join our infrastructure resiliency team. In this role, you'll be responsible for ensuring the stability, performance, and reliability of critical systems across diverse technology stacks including mainframe, Windows, and cloud environments (OpenShift, AWS, Azure). You'll work at the intersection of software engineering and operations, driving automation, implementing resiliency patterns, and responding to critical events to maintain exceptional service availability. What You'll Be Doing 1. Coordinate responses to critical events with application support teams and the Site Reliability Center 2. Triage and respond to alerts generated through BigPanda event correlation platform 3. Assess cross-domain impacts and engage appropriate support teams or escalate as needed 4. Participate in on-call rotations to provide 24x7 coverage for critical systems 5. Conduct blameless post-mortems and root cause analysis to drive continuous improvement 6. Design and implement automated monitoring and alerting systems using Dynatrace, Grafana, Logscale, CrowdStrike, Prometheus, Splunk, Moogsoft, and Datadog 7. Create robust dashboards and implement SLAs/SLOs through comprehensive monitoring 8. Analyze metrics from operating systems and applications to assist in performance tuning and fault detection 9. Develop and implement chaos engineering practices using Litmus, Gremlin, Azure Chaos Studio, and Chaos Mesh 10. Design fault injection experiments to validate system resilience using AWS Resilience Hub 11. Build self-healing capabilities and automated remediation workflows 12. Implement health checks, autoscaling solutions using AWS Lambda, Kubernetes, OpenShift, and Istio service mesh 13. Manage infrastructure across mainframe systems, Windows, RHEL, and cloud platforms (AWS, Azure, OpenShift) 14. Work with containerized environments, event streaming platforms (Kafka), and database systems (Oracle, SQL) 15. Maintain virtualization infrastructure (VMware) and storage systems (NAS) 16. Leverage ServiceNow for incident management, Jira for issue tracking, and CA7 for job scheduling 17. Identify opportunities to improve application stability and evangelize SRE best practices 18. Maintain comprehensive knowledge bases and runbooks in Confluence 19. Mentor junior team members on resiliency patterns and operational excellence What We're Looking For 1. 3-5 years of relevant experience in site reliability, infrastructure, or DevOps engineering 2. Strong expertise in monitoring and observability tools (Dynatrace, Grafana, Prometheus, Splunk, or similar) 3. Experience with incident management and event correlation platforms (BigPanda, ServiceNow, Moogsoft) 4. Proficiency with Linux/Unix systems (RHEL) and Windows Server environments 5. Hands-on experience with cloud platforms: AWS, Azure, or OpenShift 6. Strong knowledge of containerization and orchestration: Kubernetes, Docker, OpenShift 7. Experience with chaos engineering and fault injection frameworks (Litmus, Gremlin, AWS FIS, Azure Chaos Studio) 8. Solid understanding of networking, database systems (Oracle, SQL), and distributed architectures 9. Experience with event streaming platforms (Kafka) and service mesh technologies (Istio) 10. Familiarity with mainframe systems and legacy infrastructure 11. Experience with infrastructure as code and automation tools 12. Knowledge of job scheduling systems (CA7 or similar) and middleware technologies 13. Proficiency with Jira, Confluence, and ITSM tools 14. Experience working in financial services or other highly regulated industries preferred 15. Relevant certifications valued: AWS/Azure architecture, RHCE, VCP, Kubernetes (CKA/CKAD) 16. Strong analytical thinking, problem-solving abilities, and troubleshooting skills 17. Excellent written and verbal communication skills for cross-functional collaboration Our Commitment We're committed to building resilient systems that deliver exceptional reliability and performance at scale. You'll work with cutting-edge resiliency engineering tools and practices, collaborate with talented engineers across domains, and have opportunities to mentor junior team members while continuously advancing your own skills in this evolving field. Equal Employment Opportunity & Inclusivity Ellofant is proud to be an Equal Employment Opportunity Employer. We do not discriminate in employment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, protected veteran status, genetic information, or any other characteristic protected by law. This policy applies to all aspects of employment, including recruitment, hiring, placement, promotion, compensation, benefits, training, termination, and other conditions of employment. Commitment to Diversity, Equity & Inclusion We believe diversity, equity, and inclusion are fundamental to innovation, thoughtful client service, and a thriving workplace culture. We welcome and value different perspectives, experiences, and backgrounds including but not limited to race, gender, ethnicity, sexual orientation, disability status, veteran status, and neurodiversity. Accommodations are available upon request during the application and interview process. Pay Transparency & Benefits Compensation will be commensurate with your experience, skill set, and job location. Ellofant offers a competitive benefits package, which may include medical and dental coverage, retirement savings plans, paid time off, and professional development support. Salary range will be disclosed to candidates as part of the interview process where permitted. Application Privacy & Process Your personal information, including resume, interview feedback, and any background checks, will be collected and used solely for recruitment purposes and handled in accordance with applicable privacy laws. Employment is contingent upon successful completion of verification of eligibility and reference checks. You must be authorized to work in the U.S. Fraud Awareness Please be aware of potential recruitment fraud. Ellofant will never request payment or sensitive financial information at any stage of the hiring process. All legitimate communication will come from ellofant. If you receive suspicious outreach claiming to be from Ellofant, please contact us directly. We appreciate your interest in Ellofant and encourage candidates from all backgrounds who are excited about challenging whats possible to apply. Dallas stands as one of the nation's premier technology and financial services hubs, offering an exceptional environment for Site Reliability Engineers to thrive. The city's vibrant tech ecosystem is anchored by major corporations, innovative startups, and world-class universities that create a collaborative atmosphere for engineering talent. With no state income tax and a significantly lower cost of living compared to coastal tech centers, Dallas provides an attractive financial proposition for professionals seeking career growth without sacrificing quality of life. The Dallas-Fort Worth metroplex boasts excellent infrastructure, including DFW International Airport providing direct connections to destinations worldwide, making it ideal for both business travel and personal exploration. Beyond work, the city offers diverse neighborhoods ranging from the trendy Uptown and Deep Ellum districts to family-friendly suburbs with top-rated schools. The thriving arts scene, professional sports teams, renowned dining experiences, and year-round outdoor activities ensure there's always something to enjoy outside the office.

Job Discription: Design, build, and optimize machine learning models, including supervised, unsupervised, and deep learning methods. Develop and fine-tune LLMs, NLP pipelines, embeddings, and vector search solutions. Implement end-to-end ML pipelines (data preprocessing, feature engineering, model training, evaluation, monitoring Build and deploy ML models on cloud platforms (AWS, GCP, Azure Work with GPU/CUDA, distributed training, and model optimization for performance. Implement AI components using Python, ML frameworks, and MLOps best practices. Integrate ML models with applications using REST APIs, microservices, and scalable architectures. Collaborate with data engineers, data scientists, and software teams to productionize AI solutions. Utilize tools like TensorFlow, PyTorch, Scikit-learn, Hugging Face, and vector databases. Monitor and evaluate model performance, ensuring reliability and explainability. Conduct research to stay up to date with emerging AI/ML technologies and frameworks. Mandatory Skills Strong expertise in Machine Learning, Deep Learning, and NLP. Proficiency in Python, including ML/DL frameworks (PyTorch, TensorFlow, Scikit-learn Experience fine-tuning LLMs, embeddings, and sentence transformers. Knowledge of cosine similarity, vector databases, and semantic search. Experience with GPU/CUDA configuration and optimization. Hands-on experience working in Linux, Docker, and Kubernetes environments. Experience building end-to-end ML pipelines and deploying ML models to production. We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Role Description: 1. Oracle 11G12-19c RAC database support experience. 2. Oracle database support on AWS RDS, database creation, migration, upgrade, refresh. 3. Knowledge on snapshots, AWS database backups and monitoring, S3, CloudWatch. 4. Troubleshooting of cluster failures, ASM disk groups failures and DR related problem etc. 5. Configuring and managing high availability, RAC and ASM Administration and hands on experience working in cluster environment. 6. Implementation of Data Guard for database failover between Data center and DR site, perform switchover/failover activities. 7. Ability to perform both Oracle and also operating system performance monitoring and the necessary adjustments. 8. Sound knowledge of database performance tuning, Analyzing AWRASHADDM Reports and provide recommendations. 9. Experience in database upgrade, patching, cloning. 10. Implement quarterly released CPUPSUSPU patches for StandaloneHA databases and co-ordinate with Oracle for any bug-fixes. 11. Knowledge of RMAN, export backup and recovery scenarios. 12. Experience in DR Drill with exposure to various restore/recovery methods 13. Good knowledge of the Linux and AWS. 14. Knowledge on Database Server Capacity Monitoring 15. Must have hands-On Experience on OEM administration, maintenance and monitoring. 16. Troubleshooting Performance Problems in Oracle such as CPU utilization, Memory, IO, Temp tablespace, Slow running queries, blockings and deadlocks. 17. Solving issues related to Operating System, coordinating with Operations team. 18. Good knowledge of Unix Commands, Shell scripting. 19. Co-Ordination with Vendor and Other Support teams. 20. Monitoring and solving incident tickets, change requests and service calls in production support environment, adhering to SLAs. 1.Good to have DBA experience on other database technologies 2.Eg. Postgres, Redshift, DB2, MS SQL Server 3.Strong knowledge on Oracle database architecture and Hands-on Experience in Installation, Upgrade, Migration, Patching and administration of Oracle RAC databases, on-premises and AWS. We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Role: ServiceNow Engineer Bill Rate: $87/hour C2C Location: Dallas, TX Duration: 12+ months/ long-term Interview Criteria: Telephonic + Zoom Direct Client Requirement Qualifications Education Level: Bachelors Degree ; Major: Computer Science, ComputerEngineering Experience in lieu of required education is acceptable Certification(s) in Business Analysis preferred. Certified ServiceNow System Administrator (CSA), Certified ServiceNowImplementation Specialist, or Certified ServiceNow ApplicationDeveloper (CAD) preferred. Experience in lieu of required education is acceptable 5 years of relevant experience Strong knowledge of ServiceNow modules, such as ITSM, ITOM, ITBM, etc Experience in business process analysis and workflow automation. Ability to create user stories, process flows, and functional specifications. Familiarity with Agile/Scrum methodologies. Strong analytical, critical thinking, and problem-solving abilities. Job-Related Skills/Competencies Superior teamwork skills Strong interpersonal and communication skills; the ability to read, write, andspeak in a professional manner Excellent analytical and problem-solving skills Possess a personal sense of urgency Ability to effectively multi-task and adapt to changing business priorities Superb time management and organizational skills Intensive attention to detail Strong SQL development and performance tuning skills Experience with at least one of JavaScript, Java, or C# Highly organized Superior communication skills to be able to effectively speak and write in aclear and professional manner Skilled at listening and providing feedback Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume is shortlisted, one of our IT Recruiter from my team will contact you as soon as possible Srinivasa Reddy Kandi Client Delivery Manager Valiant Technologies LLC Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law

Senior IT Manager JD Edwards & Logistics Systems Were seeking an experienced Senior IT Manager for one of our clients to lead their IT team and drive the performance and evolution of their logistics technology stack, with a focus on JD Edwards ERP and Blue Yonder warehouse management systems (link removed) This role is responsible for ensuring that technology solutions effectively support business operations and align with strategic goals. Key Responsibilities: Technology & Systems Oversight: Oversee the ongoing support, optimization, and enhancement of JD Edwards and related logistics systems. Ensure systems align with business needs across supply chain, warehouse, and logistics operations. Manage end-to-end project lifecycles, vendor relationships, and internal stakeholder engagement. Team Leadership: Lead, mentor, and develop a team of IT professionals, including business analysts, developers, and application administrators. Foster a collaborative and high-performance work environment. Manage workload allocation, performance reviews, and training programs to support professional growth and team efficiency. Education & Experience: Bachelors degree in Information Technology, Computer Science, or equivalent experience in the field. Minimum of 10 years of IT experience, including at least 5 years managing IT applications teams. 7+ years of functional and technical experience with JD Edwards ERP (version 9.2.x or later), with expertise in modules such as Order Management, Finance, Accounting, Manufacturing, Distribution, and Procurement (link removed)> Strong understanding of the JD Edwards Development Lifecycle, including Object Management Workbench (OMW), EnterpriseOne, UDCs , and project workflows. Proven ability to lead IT teams and manage complex projects effectively. Proficiency in ERP integrations, data management, and reporting tools.

12+ years of experience in Workday integration development. Strong expertise in Workday Studio, EIB, Core Connectors, Workday Web Services (SOAP/REST). Hands-on experience with Workday Financials and/or Supply Chain Management modules. Strong knowledge of FSCM business processes such as Procure-to-Pay (P2P), Order-to-Cash (O2C), Expenses, and Supplier Management. Proficiency in XML, XSLT, XPATH, Java, JSON, and SQL for integration development. Experience with integration middleware and third-party systems (e.g., banks, suppliers, procurement systems, payment gateways). Excellent problem-solving, analytical, and troubleshooting skills. Strong communication skills to work with business and technical stakeholders. Workday Integration Core Certified or Workday Financials Certified. Experience in cloud financial systems, ERP integrations, or large-scale Workday deployments. Workday certification preferred Familiarity with PeopleSoft FSCM or other ERP systems is a plus. Knowledge of security models, reporting, and calculated fields in Workday. We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law

Job Summary: Project Manager (PM) Financial Services (FS) experience is not required. Should have experience with data/application migrations or hardware refreshes. Must understand the project management lifecycle (PMLC) and be able to communicate updates to Truist leadership. There will be three PMs: PM Manages infrastructure teams and overall product readiness (e.g., integrations, operations PM Oversees server migrations. PM Leads VDI migrations. Overview: Seeking a detail-oriented Project Manager to lead infrastructure-focused initiatives such as hardware refreshes, server/VDI upgrades, and data/application migrations. This role is hands-on and execution-driven, requiring strong coordination and delivery skills. Key Responsibilities: Manage scope, schedule, and resources across infrastructure tracks.Track progress, manage risks/issues, and ensure timely delivery.Collect and validate technical updates; escalate gaps and delays.Ensure evidence-based testing and sign-off before delivery.Use MS Project and Excel for tracking and reporting.Qualifications: 9+ years of project management experience in infrastructure.Strong organizational and communication skills.Ability to challenge teams and drive accountability.Proficiency in MS Office tools.PMP or similar certification preferred. We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Job Summary: As an AI Security Analyst, you will be responsible for ensuring that AI models meet stringent security standards and are resilient against attacks. This includes developing and implementing security requirements and assessment procedures for AI systems, monitoring AI assets for security gaps, and collaborating with cybersecurity stakeholders to deploy secure AI capabilities. Key Responsibilities: Utilize AI tools such as OpenAI, Amazon Q, LangChain, LIamaIndex, or similar GenAI tools and ecosystems. Integrate AI capabilities into security analytics, dashboards, or workflow automation. Understand AI models, prompts, and their security features. Research and analyze AI-enabled threats, adversarial machine learning attacks, and defensive strategies. Develop adversarial testing frameworks to validate the robustness of AI security models. Create guardrails for integrating AI security tools with existing infrastructure. Stay updated with emerging AI threats, security research, and defensive techniques. Present findings and recommendations to technical and executive stakeholders. Analyze and build security requirements for AI-powered solutions in enterprise-scale environments. Collaborate with IT teams to implement AI-enhanced solutions. Work with vendors on AI security tool discussions and implementation. Ensure compliance with industry regulations and internal security policies. Lead cross-functional projects to integrate AI security across business units. Develop metrics and KPIs to measure the effectiveness of the AI security program. Establish security measures to protect AI systems from cyber threats. Requirements: Over 15 years of experience in cybersecurity. Hands-on AI/ML development experience using Python, TensorFlow, PyTorch, or similar frameworks. Strong understanding of cybersecurity fundamentals, including network security, endpoint protection, and threat hunting. Experience with both security tools and AI-related tools. Knowledge of data science libraries (pandas, scikit-learn, NumPy) and big data technologies. Expertise in adversarial machine learning, model security, and AI red teaming. Experience with cloud security platforms such as AWS Security Hub, Azure Sentinel, and Google Chronicle. Strong understanding of AI technologies, security testing frameworks, threat intelligence, and proficiency in relevant programming languages. We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Design and Architect scalable data products using Apache spark and Databricks. Specific duties include, but are limited to, the following: Architect and lead the design of scalable, secure, and high-performance data platforms using Databricks, Apache Spark (PySpark), Delta Lake, and Azure Data Lake Storage. Build and manage robust, real-time data ingestion and processing pipelines using Apache Kafka, enabling low-latency analytics and event-driven applications. Develop complex ETL/ELT workflows using Azure Data Factory, ensuring reliable data transformation, enrichment, and orchestration across cloud-native data services. Integrate diverse internal and external data sources via REST APIs into Azure Data Lake, Databricks, and Snowflake, maintaining high data quality, consistency, and lineage. Implement and optimize Delta Lake architecture for versioned, ACID-compliant data storage within modern lakehouse environments. Lead performance tuning efforts for large-scale distributed computing jobs in Databricks, Spark SQL queries, and Snowflake data warehousing operations. Design and implement data modeling strategies and data governance policies to support enterprise analytics, operational reporting, and advanced AI/ML use cases. Utilize SQL and Python extensively for data analysis, transformation logic, and automation scripts in a unified data engineering workflow. Apply Git-based version control and CI/CD practices to manage codebase integrity, promote collaboration, and support automated deployment of data pipelines. Serve as a strategic advisor on enterprise data architecture, guiding teams on platform scalability, modernization, and best practices in cloud-based data engineering. Work with junior and senior data engineers, facilitate cross-functional collaboration, and stay current on emerging technologies relevant to big data, real-time streaming, and cloud computing. Job requirements: Bachelor's degree in Computer Science, Computer Information Systems, Data Engineering, or Engineering related or Technical related fields plus 5 years of progressively responsible post-baccalaureate experience. Foreign degree equivalent is acceptable. In lieu of the above, we will also accept a Master's degree in Computer Science, Computer Information Systems, Data Engineering, or Engineering related or Technical related fields plus 2 years of experience. We will also accept any suitable combination of education, training and/or experience. Experience should include minimum 2 years of working with Databricks, Snowflake, Apache Spark (PySpark), Delta Lake, Apache Kafka, Azure Data Factory, Azure Data Lake Storage, SQL, Python, Git, REST APIs; working on data modeling, and data governance. HOURS: M-F, 8:00 a.m. 5:00 p.m. JOB LOCATION: Dallas, Texas. Travel is not required, but candidates must be willing to relocate to unanticipated locations across the country per company contract demand. CONTACT: Email resume referencing job code# PDEANB to Maruthi Technologies Inc. DBA Anblicks at

Job Title: Microsoft BI SpecialistJob Description:Seeking a Power BI specialist to migrate an existing Excel dashboard to Power BI and enhance usability. The role requires strong expertise in Power BI, data visualization, and dashboard design.Key Responsibilities: Gather requirements with stakeholders, review current Excel dashboard, and define enhancements. Integrate Power BI with data sources, ensuring accuracy and performance. Design and develop interactive, user-friendly Power BI dashboards and reports. Test and validate data integrity and calculations. Document data sources, models, DAX formulas, and dashboard logic. Required Skills & Experience: Proven experience as a Power BI Developer with a strong project portfolio. Advanced proficiency in Power BI Desktop, DAX, and Power Query. Strong knowledge of data modeling (star/snowflake schemas Experience migrating Excel dashboards to Power BI. Solid grasp of data visualization principles and best practices. Strong analytical skills and attention to detail. Excellent communication and ability to work independently. Equal Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Senior Software Engineer, Back End - Capital One Software (Remote) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 3 years of professional software engineering experience (Internship experience does not apply) Preferred Qualifications: 5+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js 1+ years of experience with AWS, GCP, Azure, or another cloud service 3+ years of experience in open source frameworks 2+ years of experience in Agile practices 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. Remote (Regardless of Location): $144,200 - $164,600 for Senior Software Engineer Richmond, VA: $144,200 - $164,600 for Senior Software 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).

Distinguished Engineer - API Platform (GraphQL)(Remote-Eligible) As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: Articulate and evangelize a bold technical vision for your domain Decompose complex problems into practical and operational solutions Ensure the quality of technical design and implementation Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability Continue learning and injecting advanced technical knowledge into our community Handle several projects simultaneously, balancing your time to maximize impact Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree At least 7 years of experience in General software At least 7 years of experience in Software engineering and Solution architecture Preferred Qualifications: 10+ years of professional experience coding in one of the following software engineering languages (Golang, Rust, JavaScript, Python or Java) 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support 5+ years of experience designing, building and operating large scale distributed systems 5+ years of experience with AWS 5+ years of experience with DevOps and AWS IaC 3+ years of experience with GraphQL technologies 3+ years of experience with Authentication and Authorization Technologies (implementing GraphQL security including fine grained authorizations, rate limiting , query complexity analysis) 3+ years of experience with SQL and NoSQL databases Experience operating with a Site Reliability (SRE) mindset and culture Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Richmond, VA: $239,900 - $273,800 for Distinguished 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 Manager, Software Engineering, Machine Learning - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn't exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. As a Capital One Machine Learning Engineer (MLE), you'll be part of software team dedicated to producing 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 At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 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 Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 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 ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering 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).

Distinguished Machine Learning Engineer- Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn't exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Machine Learning Engineer, you'll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Collaborate on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelors Degree At least 7 years of experience in Software Engineering At least 5 years of experience in Machine Learning Systems and Infrastructure Preferred Qualifications: Masters' Degree 7+ years of experience using Python, Java, Go, and SQL 6+ year of experience deploying machine learning models Ability to understand deploying Machine Learning models in production environments at scale Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Machine Learning Engineer Richmond, VA: $239,900 - $273,800 for Distinguished 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 Manager, Customer Trust & Field Security Specialist - Capital One Software (Remote) About the Role: We are seeking an experienced and detail-oriented Senior Manager with horizontal cybersecurity expertise to join our dynamic Customer Trust & Field Security team. This critical role acts as the security expert for our sales and business development efforts, bridging our technical security posture with the questions of prospective customers. You will be responsible for reviewing, interpreting, and responding to customer security-related inquiries, ensuring our responses are accurate, complete, and aligned with our security certifications and documentation. This position is pivotal in establishing and strengthening customer confidence in our cybersecurity, privacy, and compliance programs, influencing product direction and sales strategy to solve real-world security challenges. You will drive transparency, thought leadership, and strategic engagement, ensuring our security posture aligns with industry best practices while enabling business growth. This is an opportunity to be a crucial part of our growth. If you're a cybersecurity professional who enjoys the challenge of communicating technical concepts in a business context, we'd love to hear from you. Key Responsibilities: Customer Trust & Transparency: Scale and build upon existing programs like the Customer Trust Center, providing customers with self-service access to relevant security, privacy, and compliance information. Customer Engagement: Act as a trusted technical and security advisor, engaging customer security teams and IT leaders to align on their cybersecurity & business needs. Serve as the internal subject matter expert on security for the GTM team, supporting sales and account managers in client-facing discussions and presentations. Industry Thought Leadership: Represent the company externally in security and technology conversations, shaping best practices and positioning our solutions as industry-leading. Go-to-Market & Sales Acceleration: Bridge the gap between technical value and business outcomes, aligning security messaging with sales and marketing strategies to drive adoption of our products. Cross-functional Influence & Collaboration: Work closely with the engineering, legal, risk, cyber, and compliance teams to ensure our security responses are accurate and reflect our latest technical and regulatory standing. RFI/RFP Response: Analyze and respond to cybersecurity sections of RFIs (Requests for Information) and RFPs (Requests for Proposal), providing detailed and precise information about our security controls, policies, and procedures. Security Documentation: Maintain and update a knowledge base of our security posture, including security policies, certifications (e.g., SOC 2, ISO 27001), and compliance documentation. Continuous Improvement: Identify trends in customer security inquiries to help improve our documentation and proactive communication strategies. Third-Party Risk & Due Diligence: Support third-party risk and due diligence processes, helping customers efficiently evaluate our security posture. Product Roadmap Contribution: Provide insights on emerging cybersecurity trends and customer expectations to contribute to the product roadmap. Security Sales Playbook Development: Develop and standardize security sales playbooks, equipping sales teams with messaging, objection handling, and case studies, as applicable. Why Join Us: Impactful Role: Play a critical role in shaping our customer trust strategy, directly influencing business growth and sales success by building trust and demonstrating our commitment to security for our customers. Collaborative Culture: Partner with diverse teams across the organization, from engineering to sales, in a fast-paced work environment. Thought Leadership: Represent the company externally and contribute to industry best practices. Customer-Centric Focus: Be part of a team dedicated to empowering organizations to confidently adopt our solutions. Basic Qualifications: At least 7 years of progressive experience in a cybersecurity or information security role, with a strong understanding of security frameworks and best practices, and a focus on horizontal expertise across various domains. At least 4 years in customer - facing roles , acting as a trusted advisor to senior security and IT leaders. Deep technical understanding of cybersecurity principles, data protection, privacy, and compliance frameworks. Familiarity with common cybersecurity concepts, including access control, encryption, network security, and incident response. Excellent written and verbal communication skills with the ability to translate complex technical information into clear, concise, and professional responses for both technical and non-technical audiences. Meticulous and organized, with a proven ability to manage multiple projects and deadlines simultaneously and great attention to detail . Ability to influence and collaborate effectively with cross-functional teams. Preferred Qualifications: Experience in developing and implementing scalable Customer Trust programs. 3+ years experience with Third Party Risk Management programs. Strong business acumen and the ability to translate complex technical concepts into business value. Professional certifications such as CISSP, CISM, CIPP/E, or CompTIA Security+ Experience with cloud services and cloud technologies (e.g., AWS, Microsoft Azure, GCP), cybersecurity technologies, data cloud platforms (e.g., Snowflake, Databricks). At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $204,900 - $233,800 for Sr. Manager, Solutions Architecture McLean, VA: $225,400 - $257,200 for Sr. Manager, Solutions Architecture Richmond, VA: $204,900 - $233,800 for Sr. Manager, Solutions Architecture 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).

Sr Lead Software Engineer, Back End/SRE - Shopping (Remote-Eligible) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. Capital One Shopping is looking for our next Site Reliability Engineer. This position will be a great fit for anyone who wants to optimize, automate and expand business-critical services to a constantly growing customer base. At Capital One Shopping we leverage technology and data to find the best deals for our customers while they shop. To do this we handle huge volumes of data and network traffic; as we grow we need engineers who are ready to help optimize our existing systems and build the next generation of capabilities to support our users and merchants. What You'll Do: Lead a portfolio of diverse technology projects with deep experience in distributed microservices and full stack systems to create solutions that help meet regulatory needs for the company Regularly contribute across multiple code bases to deliver performance, regulatory, reliability and revenue improvements for the business Contribute to platforms that enable the success of developers, account managers, business partners and our customers Improve visibility to business-critical transactions, guide the creation of SLOs and influence the management of error budgets Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Leverage NodeJS, Docker, AWS, Kafka, Cassandra, Opensearch, Postgres and other technologies to optimize software for ideal business outcomes Basic Qualifications: Bachelor's Degree At least 6 years of professional software engineering experience (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 9+ years of experience in at least one of the following: Node.js, Go, or Python 3+ years of experience with AWS 3+ years of experience in security and performance tuning for internet-scale microservices 3+ years of on-call experience for internet-scale microservices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $204,900 - $233,800 for Sr. Lead Software Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead Software 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 Manager, Technical Program Manager- Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn't exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Senior Manager, Technical Program Management, you'll have the opportunity to be on the forefront of building this business and bring these tools to market. Our TPM Sr. Managers have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to identify technical tradeoffs, act as technical a liaison across stakeholders, and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills, comfortable reporting to VPs Excellent problem solving and influencing skills. You can track and resolve issues promptly and independently, escalate major risks to senior leaders appropriately, and resolve conflicts. A quantitative approach to problem solving, leverages and shares data to drive decision making. A collaborative implementer to holistic solutions; a systems thinker. Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, go-to-market, and data science representatives. Deep focus on execution, follow-through, accountability, customer obsession, and results. Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners. Basic Qualifications: At least 5 years of experience in technical program management Bachelor's degree Preferred Qualifications: 5+ years of hands on technical experience (Such as: Software development, systems engineering, data engineering, site reliability) 3+ years experience delivering large and complex programs, where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 3+ years of experience in building distributed systems and highly available services using cloud computing services and architecture - preferably using AWS 3+ years experience building highly scalable products and platforms in a SaaS organization 3+ years of experience with agile delivery and planning, and helping teams organize Experience applying Generative AI to solve business problems and drive efficiency Experience in building systems and solutions within a highly regulated environment Bachelor's degree or higher in a related technical field (for example Computer Science or Software Engineering) At this time, Capital One will not sponsor a new applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $175,500 - $200,300 for Sr. Manager, Technical Program Management Richmond, VA: $175,500 - $200,300 for Sr. Manager, Technical Program Management 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).

Distinguished Data Engineer - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn't exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Data Engineer, you'll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Collaborate on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience in data engineering At least 5 years of experience in data architecture Preferred Qualifications: Masters' Degree 7+ years of experience using Python, Java, Go, and SQL 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake 1+ year of experience deploying machine learning models 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, or another type of work authorization). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data 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).

Lead Data Engineer - Capital One Software (Remote) Capital One Software is seeking a Lead Data Engineer who is passionate about marrying innovation with emerging technologies. In 2022, we publicly announced Capital One Software and have since brought two of our B2B software solutions to market; Slingshot and Databolt. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Lead Data Engineer you'll have the opportunity to build meaningful software that enables our customers to manage their data securely and efficiently at any scale. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Databricks and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: 7+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Databricks, Spark, Kafka, EMR, Hadoop, MapReduce, Hadoop, Hive, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices 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. Remote (Regardless of Location): $175,800 - $200,700 for Lead Data Engineer Richmond, VA: $175,800 - $200,700 for Lead Data 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).

Key Responsibilities: Daily responsibilities include creating new deliverables for the business cases, expanded the user population and providing development support. This role is working on the Finance Re-Design (FRD) and Finance Reg Reporting (FRR) projects. FRD is a well-established project which has been built out over the past 8 years and FRR over the past 2 years. FRR is a greenfield project which aims to create a reconciliation and adjustment capability between the banks ledger and an upstream ADS which is going to be used for regulatory reporting. FRD is looking to re-configure an upstream data source into a new strategic platform and onboard more users. Development teams are located globally with resources in India, Dublin and London with a new team being created in Client to provide global development coverage for an additional dev capacity. The project is currently in the process of moving from a bank proprietary database to a new Oracle Exadata rack. Key Requirements and Technology Experience: Skills-Python, Oracle, React. Required hard and soft skills/experience Looking for either a strong experiences Oracle developer or experiences Python developer with at least 10 years + of experience. The person should be a team player and work well with others. We do not one someone who just development we want a strong all-rounder who is not afraid to get into all areas of the software life cycle such as analysis and prod developments Equal Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Mandatory Qualifications: Strong proficiency in Python Expertise in FastAPI for backend development Experience with LangChain and LangGraph Hands-on experience with Retrieval-Augmented Generation (RAG) Proficiency in vector databases (Milvus, FAISS, or similar) Database integration (MongoDB/PostgreSQL, GraphDB) Experience integrating AWS Bedrock models Desired Qualifications: Prompt engineering for optimizing LLM interactions Ability to design and deploy AI agents using LangGraph, CrewAI etc Experience in multi-step reasoning and AI workflows Experience deploying AI models in production environments Expertise in AWS cloud platforms for scalable Generative AI applications Familiarity with data science libraries (scikit-learn, TensorFlow) Equal Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Job Title: GenAI Senior Developer - AWS Bedrock Role Type: Contract Duration: 6 Months Location: Dallas, TX (Onsite) Experience: 7+ Years Skill Category: Digital Cloud DevOps Job Summary We are seeking a highly skilled GenAI Senior Developer with strong Cloud DevOps expertise to design, build, and deploy enterprise-grade Generative AI solutions onAWS Bedrock. The ideal candidate will have hands-on experience withLLM-based applications, cloud-native architectures, and DevOps automation, ensuring scalable, secure, and reliable AI platforms. Key Responsibilities Design, develop, and deploy Generative AI applications using AWS Bedrock and foundation models. Build and optimize LLM pipelines, including prompt engineering, inference workflows, and model integrations. Implement Retrieval-Augmented Generation (RAG) solutions using vector databases and semantic search. Develop backend services using Python and/or NodeJS for AI-driven applications. Automate cloud infrastructure using Terraform / CloudFormation following Infrastructure-as-Code (IaC) best practices. Build and manage CI/CD pipelines for AI and cloud workloads using Git-based workflows. Deploy and manage workloads on AWS services such as Lambda, ECS, EKS, EC2, S3, DynamoDB, API Gateway, and SQS. Ensure high availability, scalability, and performance of GenAI platforms. Implement monitoring, logging, and observability using CloudWatch and APM tools. Apply security best practices including IAM roles, encryption, secrets management, and compliance controls. Collaborate with data scientists, ML engineers, and DevOps teams to productionize AI models. Troubleshoot production issues and optimize system reliability using SRE principles. Required Skills 7+ years of experience in Cloud DevOps / Software Engineering. Strong expertise in AWS Cloud and cloud-native architectures. Hands-on experience with AWS Bedrock and Generative AI solutions. Proficiency in Python (preferred) and/or NodeJS. Experience with LLMs, prompt engineering, RAG, vector databases (Pinecone, FAISS, OpenSearch, etc.). Strong experience with Terraform and Infrastructure-as-Code. CI/CD experience using GitLab, GitHub, or Jenkins. Experience with Docker and Kubernetes (EKS/ECS). Strong understanding of Linux, networking, and cloud security. Excellent troubleshooting and problem-solving skills. Preferred Qualifications Experience with LangChain, Agents, Agentic AI frameworks. Knowledge of MLOps practices and model lifecycle management. Experience with APM tools like Dynatrace, Datadog, or New Relic. Prior experience deploying enterprise-scale GenAI platforms. Strong communication skills and ability to work onsite with cross-functional teams.

Senior Manager, Software Engineering, Back End - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn't exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Senior Manager of Software Engineering, you'll have the opportunity to be on the forefront of building this business and bring these tools to market. What You'll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 6 years of professional software engineering experience (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) At least 4 years of people management experience Preferred Qualifications: Master's Degree 9+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js 3+ years of experience in big data technologies 3+ years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 3+ years of experience with industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of experience building, scaling, and optimizing ML systems 2+ years of experience leading teams developing ML solutions 3+ years of experience with AWS, GCP, Azure, or another cloud service 4+ years of experience in open source frameworks 7+ years of people management experience 2+ years of experience in Agile practices 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. Remote (Regardless of Location): $204,900 - $233,800 for Sr. Mgr, Software Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Software Engineering 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).

Role: Sr. Cloud AnalystBill Rate: $75/hour C2CLocation: Dallas,TXDuration: 12+ months/ long-term Interview Criteria: Telephonic +ZoomDirect Client Requirement What we're looking forMust Haves:4 Year/Bachelor's degree (or equivalent) in Computer Science, Computer Information Systems, Information Systems, Information Technology or Computer Engineering5+ Years experience in application development and architecture that directly aligns with the specific responsibilities for this position4+ yrs expertise in Cloud (must be AWS certified) and 5+ yrs experience & proficiency in IBM-MainframesExperience hosting applications with the tech-stack of - Microfocus-COBOl, JCL & CICS, DB2-LUW, MicroFocus Ent Server, DB2 connectivityAt least 1 full cycle execution of Mainframe to AWS migrationMainframe and AWS communication & Integration:SNA ArchitectureData Transfer protocols (IBM connect direct, SFG Mailbox or similar)LRS printing tool integration with Microfocus & printersLDAP and setting up one-way trust to Active-DirectoryNice to Haves:AWS Solutions Architect Professional certification Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume is shortlisted, one of our IT Recruiter from my team will contact you as soon as possible Srinivasa Reddy Kandi Client Delivery Manager Valiant Technologies LLC Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law

We are hiring a React Full Stack Developer for one of our clients in Dallas, TX. Job Description: 5+ years of professional experience as a Full Stack Developer. Strong proficiency in React.js and modern JavaScript/TypeScript. Solid understanding of Node.js, Express.js, OR other backend tech. Expertise in consuming RESTful APIs and handling JSON. Experience with relational and NoSQL databases. Knowledge of Git, version control, CI/CD pipelines. Strong understanding of SDLC, best coding practices, design patterns, and Agile methodologies. Develop and maintain responsive, user-friendly web interfaces using React.js, Hooks, Context API, and Redux (or other state-management libraries Build reusable UI components with JavaScript/TypeScript, HTML5, CSS3, Tailwind. Additional Information: Location: Dallas, TX (Onsite) Job Type: C2H Duration: 6 Months Visa: GC/H4-EAD/USC/L2-EAD/TN About Us: We are specialized in recruiting and deliver the best professional talent of industry and we are committed to deliver best experience for our clients and job seekers. With over two decades of experience in the recruitment industry, we proudly help you to find the next job that matches your professional skills. Our team understands your needs or requirement before starting the recruitment, that enables to find the high quality of talent with high success rate of talent delivery, keeps us continue to be the best in the industry. By responding to this job posting, you are consenting to receive text/SMS messages from us. Thank you.

Senior Manager, Software Engineering, Full Stack - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn't exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Senior Software Manager you'll have the opportunity to be on the forefront of building this business and bring these tools to market. What You'll Do: Lead a team of developers with deep experience in distributed microservices, and full stack systems to create robust, cloud native, resilient, and highly scalable solutions in data management and security domains Is an inspirational leader, has a talent growth strategy by attracting and retaining talent, involved heavily in hiring process and practice, continues to create high levels of energy and motivation through challenges and obstacles, and proactively manages all talent by actively coaching and improving the performance of directs Has a strong engineering and technology background with the ability to learn quickly and go deep into our product and engineering solutions Help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices to curate a continual stream of incubated projects and create rapid product prototypes Promote a culture of engineering excellence and being well-managed, using opportunities to reuse and innersource solutions where possible. Lead the craftsmanship, availability, resilience, and scalability of your solutions Be the guiding force for stakeholders in design and architecture discussions, helping the engineering teams make key technology choices, and staying associated with the use case through its development lifecycle Effectively communicate with and influence key stakeholders across the enterprise at all levels of the organization. Proven collaborator and have the ability to build very strong partnerships with others to gain the trust and confidence of those around them, from hands on engineers to executives Basic Qualifications: Bachelor's Degree At least 8 years of experience in software engineering (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) At least 4 years of people management experience Preferred Qualifications: Master's Degree 10+ years of experience in software engineering in one or more of the following: GoLang, Java, Python, React, Rust, or C++ 3+ years of experience in two or more of the following: GoLang, Java, Python, Lua, React, Nginx, Rust, or C++ 5+ years of experience with AWS, GCP, Azure, or another cloud service 2+ years of experience with containerization technologies 4+ years of experience in open source frameworks 5+ years of people management experience 2+ years of experience in Big Data, Data Security, Governance and Controls 2+ years of experience in front-end development 2+ years of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $204,900 - $233,800 for Sr. Mgr, Software Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Software Engineering 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).

GoAhead Solutions has a great opportunity for an Oracle Fusion Vertex Connector SME in Dallas, TX (link removed) This would be a Six to Twelve month contract to start out. This would be an onsite position. Role Overview: We are seeking an experienced Oracle Fusion Vertex Integration SME with strong functional expertise in Source-to-Pay (S2P) and Accounts Payable (AP) processes. The ideal candidate will lead the design, configuration, integration, and solution governance of Oracle Fusion Cloud and Vertex tax engine, ensuring seamless tax calculation across Procure-to-Pay and AP workflows. Key Responsibilities: 1. Functional & Technical Expertise -Serve as the subject matter expert for Oracle Fusion Cloud integration with Vertex for tax. -Lead end-to-end solution design and configuration for P2P/AP tax determination using the Vertex Connector. -Ensure alignment of tax rules, jurisdictions, product taxability, and reporting requirements between Oracle Fusion and Vertex. 2. Integration & Configuration -Configure and maintain Oracle Fusion Vertex connectors, including tax mappings, transaction attributes, and integration touchpoints. -Manage data flows between Fusion (AP, Purchasing) and Vertex (O Series or Cloud). -Troubleshoot integration issues, tax calculation discrepancies, and connector performance. 3. S2P / AP Process Enablement -Support S2P processes including requisitioning, purchasing, invoicing, and payment workflows. -Ensure accurate tax determination for AP invoices, purchase orders, credit memos, and supplier configurations. -Optimize AP tax processes for compliance, accuracy, and efficiency. 4. Project Delivery & Governance -Lead workshops with business users, tax SMEs, finance teams, and IT stakeholders. -Translate business requirements into functional specifications and solution designs. -Prepare configuration documents, functional design documents (FDDs), test scripts, and training materials. -Support SIT, UAT, regression testing, and cutover activities. 5. Compliance, Controls, & Support -Ensure tax compliance across U.S. and global jurisdictions leveraging Vertex validations. -Provide ongoing support for month-end, year-end tax processes, and audit requirements. -Partner with Tax, Procurement, and Finance teams to maintain tax accuracy and policy alignment. Required Qualifications: -5 10+ years of experience with Oracle Fusion Cloud Financials or Procurement. -Strong hands-on experience with Vertex Accelerator for Oracle and Vertex O Series / Vertex Cloud integrations. -Proven functional knowledge of S2P and AP processes, data flows, and configurations. -Strong analytical, troubleshooting, and integration debugging skills. -Experience in implementing or supporting tax solutions in large-scale ERP environments. -Excellent communication skills and ability to interface with cross-functional teams. Preferred Qualifications: -Experience with multi-country tax setups (US, Canada, EU, LATAM preferred). -Knowledge of procurement contract taxability, item category tax rules, and supplier tax setup. -Understanding of Oracle Integration Cloud (OIC) or related middleware. -Prior participation in full life-cycle Oracle Fusion implementation projects. Soft Skills: -Strong stakeholder management and cross-team collaboration. -Ability to document complex processes clearly. -Proactive problem-solving with attention to detail. -Ability to work in fast-paced, dynamic environments.

Role: Tech Lead - Node.js & API Location: Dallas, TX (onsite) Key Responsibilities: Lead Node.js API Development: Design, implement, and optimize scalable RESTful APIs using Node.js andExpress.js (or similar frameworks Architect API systems for maximum scalability, resilience, and performance. Ensure that APIs are modular, reusable, and easy to maintain. Integrate with third-party services, databases, and other internal systems. Resilience Engineering: Apply principles of resilience engineering to design APIs that gracefully handle failures and continue to perform under stress. Implement retry logic, circuit breakers, andrate-limiting to ensure the APIs can withstand transient failures. Use techniques such as load balancing, failover mechanisms, anddistributed architectures to improve fault tolerance. Monitoring & Observability: Set up and maintain real-time monitoring and alerting using tools likePrometheus, Grafana, ELK stack, Datadog, or New Relic. Ensure comprehensive logging, tracing, andmetrics collection (e.g., through OpenTelemetry,Jaeger, or Zipkin) to provide visibility into system health. Proactively identify bottlenecks or performance issues and implement optimizations. Collaborate with the DevOps team to ensure system health and visibility across all environments. API Security: Implement security best practices for API development (e.g., OAuth2,JWT tokens, rate limiting,IP whitelisting, and API gateways Regularly perform code reviews and audits to ensure security vulnerabilities are mitigated. Team Leadership & Collaboration: Lead and mentor a team of Node.js developers, providing technical guidance, code reviews, and career development. Drive adoption of best practices in API development, monitoring, and resilience across the team. Collaborate with cross-functional teams including front-end developers, DevOps, and QA to deliver high-quality software. Participate in sprint planning, backlog grooming, and retrospectives to ensure the team is aligned and focused on the right goals. Continuous Improvement: Evaluate and recommend new technologies, tools, and frameworks that can improve development efficiency, monitoring capabilities, or resilience. Foster a culture of continuous learning and improvement within the development team. Ensure the team adopts DevOps practices and that software is fully automated for CI/CD pipelines. Skills & Qualifications: Essential: 5+ years of experience in Node.js development, with at least 2+ years of experience in a leadership role. Strong expertise in designing and building RESTful APIs using Node.js. Experience in building highly available, fault-tolerant systems that can handle production-level traffic. Proficiency in monitoring and observability tools (e.g.,Prometheus, Grafana, ELK stack, Datadog, New Relic Experience with resilience patterns such ascircuit breakers, retry logic, andrate limiting. Deep understanding of API security best practices (OAuth2, JWT, API Gateways, etc. Experience with cloud platforms (AWS, GCP, Azure) andserverless architectures. Familiarity with CI/CD pipelines and tools (Jenkins, GitLab, CircleCI, etc. Excellent problem-solving skills and the ability to troubleshoot complex distributed systems. Strong communication skills and the ability to collaborate effectively with cross-functional teams. Desirable: Experience with containerization and orchestration tools like Docker andKubernetes. Familiarity with microservices architecture andevent-driven systems. Experience working with NoSQL and relational databases (MongoDB, PostgreSQL, MySQL, etc. Knowledge of automated testing and frameworks for Node.js (Mocha, Chai, Jest Familiarity with Infrastructure as Code (e.g., Terraform, CloudFormation Knowledge of distributed tracing and service meshes (e.g., Istio, Linkerd

Location: Onsite in Dallas, Texas (Locals Only)Exp: 14 YearsVisa: H-1B, USC ONLYSKILLS:At least 4+ years of experience on designing and developing Data Pipelines for Data Ingestion or Transformation using Scala or PythonAt least 4 years of experience with Python, Spark & PysparkAt least 3 years of experience working on AWS technologies.Experience of designing, building, and deploying production-level data pipelines using tools from AWS Glue, Lamda, Kinesis using databases Aurora and Redshift.Experience with Spark programming (pyspark or scalaHands on experience with AWS components like (EMR, S3, Redshift, Lamdba, API Gateway, Kinesis ) in production environmentsStrong analytical skills and advanced SQL knowledge, indexing, query optimization techniques.Experience using ETL tools for data ingestionExperience with Change Data Capture (CDC) technologies and relational databases such as MS SQL, Oracle and DBAbility to translate data needs into detailed functional and technical designs for development, testing and implementation

Lead Software Engineer, Full Stack - Shopping (Remote) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One Shopping, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking a Lead Software Engineer who is passionate about marrying data with emerging technologies. As a Lead Full Stack Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One Shopping. What You'll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 4 years of experience in software engineering (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service 4+ years of experience in open source frameworks 1+ years of people management experience 2+ years of experience in Agile practices 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, or another type of work authorization). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $175,800 - $200,700 for Lead Software Engineer McLean, VA: $193,400 - $220,700 for Lead Software 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).