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Senior Lead Software Engineer, Back End 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: * 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) 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 with AWS, GCP, 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 Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Lead Software Engineer Philadelphia, PA: $204,900 - $233,800 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 ___. 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionWho We Are: At Sectigo, we align around our mission and pride ourselves in helping thousands of customers sleep better at night. Sectigo is a leading provider of digital identity and cybersecurity solutions, offering a comprehensive suite of products to protect online transactions and communications. Our mission is to secure the digital landscape for enterprises worldwide. “When people think Online trust management, they think Sectigo because we offer our customers unparalleled peace of mind.” How we show up with each other and our customers every day is just as important, and we win as #OneSectigo by living out our core values - Support, Excellence, Collaboration, Teamwork, Integrity, Growth and Openness. We are committed to investing in our diverse teams where everyone understands their role and how they support our strategic goals, we drive operational excellence through scale and efficiency, and we strive to delight our customers and become the market leader in our industry. If you aspire to join a driven team that holds each other accountable to meeting our lofty goals and you’d like to be part of our growth story in delivering a market leading user experience, we’d like to talk to you. What We Are Looking For: Our Sales Engineers take ownership as being the technical prime to articulate the technical value and fit for our customers and prospects. We are looking for a Sales Engineer who possesses exceptional technical, presentation, and communications skills that takes our customers and prospects through the pre-sales stages, which encompasses a technical presentation of our product and service offerings, an assessment and understanding of our customers’ and prospects’ existing IT infrastructure to ensure optimal understanding of potential use cases, and an overall guidance through a proof of concept. At Sectigo, our Sales Engineers are the technical bridge and a liaison among various stakeholders, such as our sales team, channel partners, customers, prospects, etc. This is a full-time and remote position, ideally based in the BosWash region of the U.S. What You’ll Be Doing: • Assist mid-market and enterprise sales teams with customer management and customer expectations throughout the sales process., • Conduct technical presentations and demos for prospects, channel partners that is tailored to the audience whether they are engineers and/or executives., • Provide Proof of Concept service to customers/prospects, assist clients with planning and implementation of Sectigo solutions., • Provide training to new/existing channel partners along with responding to incoming technical inquiries., • Work in a fast-paced environment under minimal supervision., • Assist with sales proposals and RFPs/RFIs., • Contribute to building/improving the SE Readiness Program such as: Develop subject matter expertise in assigned products/solutions; share best practices with the team to enhance quality of service and efficiency; maintain and expand working knowledge of current and future products; and provide product training and mentoring when required., • Willing to travel regionally for customers facing activities, as well as marketing, user group events, and conferences., • Channel feature requests to Product Management to enhance Sectigo products., • Participate in alliance projects including building vendors’ and customers’ relationships., • Additional responsibilities and special projects as assigned., • Other duties as assigned and related to the nature of this role and company initiatives. Requirements: Education • Bachelor’s degree in computer science or engineering from an accredited college, or equivalent work experience is strongly recommended., • MCP – Microsoft Certified Professional (considered an asset)., • Linux/Solaris/UNIX System Administration (considered an asset)., • Minimum 5+ years of industry experience with a minimum of 1-2 within a pre-sales environment is required., • Current or prior Sales Engineering and/or professional services experience is strongly preferred., • Experience working with various Microsoft software and systems, specifically Active Directory, Windows platforms servers and clients., • Experience working with Linux platforms., • Experience with Public Key Infrastructure (PKI), SSL, X509 (considered an asset)., • Experience with webservers & firewall/load balancers software/platforms (considered an asset)., • Experience with Public Cloud (Azure, GCP, AWS) (considered an asset)., • Must be able to travel more than 35% of the time to the assigned regions and/or territories. Talents and Desired Qualifications:, • Demonstrated strong verbal and written communication skills, excellent customer service and account management, and ability to interface with a diverse set of clients including administrators and C-level executives., • Software as a Service (SaaS) technical solutions selling., • Solid multi-tasking, troubleshooting and problem resolution abilities., • Self-starter with a can-do/will-do attitude, quick leaner, willingness to work as part of a team, and a desire to continually learn new tools/technologies., • English language proficiency required., • Willingness to travel up to 50% of the time if required.

Job Description Machine Learning Engineer (15265-1) Newark, NJ Experience level: Mid-senior Experience required: 7 Years Education level: Bachelors degree Job function: Information Technology Industry: Information Technology and Services Pay rate : $60 per hour Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Only local candidates can apply. Job Description: As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value. Key responsibilities: • Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams., • Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models., • Partner with data scientists to understand, implement, train, and design machine learning models., • Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform., • Construct optimized data pipelines to feed machine learning models., • Extend existing machine learning libraries and frameworks., • Develop processes, model monitoring, and governance framework for successful ML model operationalization., • Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results., • Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations., • 7+ years of experience in Machine Learning., • Extensive software engineering experience with strong working experience as a Machine Learning Engineer., • Bachelor's degree in computer science, computer engineering, or a related engineering field. Masters degree preferred., • Advanced proficiency with Python, Java, and Scala., • Strong computer science fundamentals such as algorithms, data structures, multithreading., • Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG., • Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch, • In-depth experience building solutions using public clouds such as AWS, GCP., • Experience using ML platforms like SageMaker, H2O, DataRobot, etc., • Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc., • Experience managing relationships in a cross-functional environment with multiple stakeholders., • Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud., • Experience working in Agile/ Scrum development process., • Thought leadership and innovative thinking., • Please submit the candidate's resume in PDF format., • Please remove the candidate's LinkedIn URL from the resume; otherwise, the profile will not be considered., • Please note that TCS does not consider former full-time employees (FTEs) for rehire. Additionally, individuals who have previously worked at TCS as contractors must observe a minimum waiting period of six months before being eligible for re-engagement.

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job Description Job Description: As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value. Key responsibilities: • Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams., • Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models., • Partner with data scientists to understand, implement, train, and design machine learning models., • Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform., • Construct optimized data pipelines to feed machine learning models., • Extend existing machine learning libraries and frameworks., • Develop processes, model monitoring, and governance framework for successful ML model operationalization., • Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results., • Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations., • 7+ years of experience in Machine Learning., • Extensive software engineering experience with strong working experience as a Machine Learning Engineer., • Bachelor's degree in computer science, computer engineering, or a related engineering field. Masters degree preferred., • Advanced proficiency with Python, Java, and Scala., • Strong computer science fundamentals such as algorithms, data structures, multithreading., • Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG., • Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch, • In-depth experience building solutions using public clouds such as AWS, GCP., • Experience using ML platforms like SageMaker, H2O, DataRobot, etc., • Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc., • Experience managing relationships in a cross-functional environment with multiple stakeholders., • Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud., • Experience working in Agile/ Scrum development process., • Thought leadership and innovative thinking., • Excellent communication and collaboration skills.

Job DescriptionKey Responsibilities: * Develop, integrate, and support GenAI-powered solutions using Python and .NET frameworks. * Collaborate with engineering teams to address real-world challenges using LLMs (as consumers, not model creators). * Apply deep problem-solving skills to engineer solutions — not just propose architectures. * Scale AI models for enterprise-level performance, considering optimization, tokenization, and cost efficiency. * Justify and implement tokenizer strategies and other AI engineering techniques for better model utility. * Work cross-functionally with product owners, data scientists, and cloud engineers to deliver impactful GenAI solutions. * Remain current with industry best practices and GenAI trends, adapting solutions accordingly. Required Skills Qualifications: * 5+ years of software engineering experience with a strong focus on Python development. * Solid working knowledge of .NET framework (C# or ASP.NET). * Demonstrated experience in delivering solution-oriented AI implementations (not just model development). * Hands-on experience with LLMs (e.g., OpenAI, Azure OpenAI, HuggingFace) in real-world applications. * Strong understanding of tokenization, inference strategies, and model scaling principles. * Ability to explain and justify engineering decisions to both technical and non-technical stakeholders. * Comfortable working in agile, cross-functional environments with high accountability. Nice to Have: * Familiarity with cloud-based AI/ML environments (Azure preferred). * Exposure to MLOps practices and deployment pipelines. * Experience with prompt engineering, embedding models, or retrieval-augmented generation (RAG)

Job DescriptionGreetings from Donato Technologies Inc. We have an immediate opening with my client. If you are looking for a new project, please send me a copy of your updated resumes • Software Engineer Further Skillset: • AWS Cloud native application development experience is a must, • Experience with AWS Infrastructure provisioning technologies, • Familiarity with cloud database technologies, • Must have experience with Java and Python, • Must have experience with git, unit testing, Dev Ops, CI/CD, • Have experience with authentication protocols SAML and JWT, • Strong organizational and project management skills., • Excellent verbal communication skills., • Good problem-solving skills. Jennifer Sampson Technical Recruiter ....................................................... DONATO TECHNOLOGIES, INC 12100 Ford Rd, #306, Dallas, TX 75234 Direct : (469)-342-0401 Email: Web:

Job Description Microsoft Fabric Data Engineer needs 7+ years of experience in Microsoft Azure Microsoft Fabric Data Engineer requires: • 5+ of experience in building data and analytics platform focused on Azure data and analytics solutions., • Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Proficiency in:, • Software development and scripting languages, • ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow)., • Database management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse)., • Knowledge of data modeling and data warehousing concepts., • Excellent problem-solving and troubleshooting abilities., • Attention to detail and commitment to data accuracy., • Experience with cloud-based data migration., • Strong analytical and problem-solving skills, with ability to conduct root cause analysis on system, process or production problems and ability to provide viable solutions., • Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver., • 3+ years of programming experience in Python/Pyspark., • 7+ years of experience in Microsoft Azure., • Knowledge of Jira, Confluence, SAFe development methodology & DevOps., • Skills: Microsoft Fabric Data Engineer, Microsoft Azure, Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, ETL Tools, Database management, Cloud-based data migration, Python, PySpark

Job Description We are a leading provider of integrated building management systems and networking solutions for organizations across multiple industries. We offer complete services for BMS, automated control systems, systems integration, critical airflow solutions, and energy management systems. Our clients, including hospitals, corporations, schools, apartment buildings, financial institutions, and more, benefit from our expertise in delivering seamless integration across their facilities. We are seeking an experienced Control Systems Field Engineer to support the startup, testing, troubleshooting, and commissioning of control systems software. This role requires strong technical expertise and a client-focused mindset, with regular interaction on-site with both internal teams and customers. Candidates must be open to traveling up to 75% regionally. Key Responsibilities: • Provide field programming, development, and engineering support for PLC, SCADA, or BAS platforms., • Debug, test, and verify control systems software to meet project requirements., • Configure software and hardware integrations, including gateways, meters, and communication interfaces., • Identify, troubleshoot, and resolve software-related faults using diagnostic tools and system utilities., • Calibrate control instruments and fine-tune systems for optimal performance., • Support on-site commissioning and address client concerns during project execution., • Train end users on software operation, maintenance, and troubleshooting., • Document project work thoroughly, including technical updates and progress reports., • Collaborate with engineering and installation teams to ensure full system integration., • Ensure compliance with all safety standards and risk mitigation procedures., • Recommend and implement improvements to system reliability, performance, and security., • In-depth knowledge of control systems (PLC, SCADA, DCS, HMI)., • Strong programming skills (e.g., Ladder Logic, Python)., • Experience with communication protocols such as Modbus and OPC., • 5 to 7 years of experience in PLC, SCADA, or Building Automation Systems (BAS)., • Proficiency in BACnet and at least one major control systems platform., • Experience in systems engineering or technical lead roles preferred., • Familiarity with industry programming languages and networking protocols., • Base Salary of $75k to $100k., • Medical, dental, and vision insurance., • 401(k) retirement plan with company match., • Employee Stock Ownership Plan (ESOP) become a company owner., • Paid time off (PTO) and holidays., • Company-provided training and certifications., • Travel reimbursement (if applicable). Joining our team means becoming part of an Employee Stock Ownership Plan (ESOP) company. If you're unfamiliar with an ESOP, you're not alone; fewer than 7,000 companies in the US offer this unique benefit. Working for an ESOP is a life-changing opportunity because our benefits extend to every single employee-owner. This means that when you contribute to our success and go the extra mile to satisfy our customers, you directly share in the growth and prosperity of the company. Our ESOP empowers you to take pride in your work and enjoy the financial rewards of our collective achievements

Job Description Role and responsibilities: AWS Cloud Engineer AWS Cloud Engineer with 5-7 years of hands-on development experience . Role involves working directly with clients to understand business requirements and deliver solutions. Collaborating closely with business stakeholders and offshore teams to ensure seamless communication and successful project execution. Requirements: 5-7 years of hands-on experience with strong foundation in cloud computing, AWS services, and related technologies, along with skills in Infrastructure as Code (IaC), scripting, and DevOps principles. Deep knowledge of core AWS services like EC2, S3, RDS, VPC, IAM, and Lambda, with experience in designing and implementing cloud-based solutions. Proficiency in using IaC tools like AWS CloudFormation or Terraform to automate infrastructure provisioning and management. Strong scripting skills in languages like Python, Bash, or PowerShell for automating tasks and deployments. Understanding of DevOps practices, including CI/CD pipelines, and experience with tools like Docker and Kubernetes. Knowledge of networking concepts, security protocols, and compliance requirements in cloud environments. Experience in client-facing roles, with the ability to translate business requirements into technical solutions. Collaborating with business and offshore teams to deliver successful projects. Troubleshoot and resolve complex technical issues in a timely manner. Participate in code reviews, ensuring high standards of quality, performance, and security. Contribute to the architecture and design of software solutions in line with industry best practices. Strong knowledge of software development life cycle, Agile methodologies, and version control systems (e.g., Git). Excellent problem-solving skills and attention to detail. Strong communication skills, with the ability to engage with both technical and non-technical stakeholders.

Job DescriptionAbout the Company Our client is a profitable Enterprise SaaS company specializing in data privacy governance, data security, consent management, and regulatory compliance solutions for enterprises. Their innovative, patented Hybrid AI technology ensures seamless compliance with GDPR, CCPA, and other privacy regulations, while providing unified consent and preference management APIs for efficient data handling across multiple channels. With a proven product-market fit and Fortune 100 customers, the company is at the forefront of shaping the future of data privacy and AI-driven compliance. * Company HQ: United States * Product: AI-powered privacy compliance and data governance platform (SaaS) * Candidate Location: Falls Church, VA or Greenville, DE (office 2-3 days per week) * Start Date: As soon as possible The Mission Our client's mission is to contribute to a better society by advocating for proper data protection legislation, responsibly safeguarding customer data, preserving individual privacy rights, and enhancing trust between businesses and consumers through greater transparency. As a technical lead, you will play a critical role in driving the engineering vision and delivering impactful products that address evolving privacy and security challenges. The Opportunity Join a dynamic engineering team as a Forward Deployed Engineer (Full Stack), where you'll lead technical initiatives, mentor peers, and directly influence the architecture and success of mission-critical privacy and data security products. This is a unique opportunity for an experienced engineer to advance into a Director of Engineering role within 18 months, while working on cutting-edge technology in a collaborative, startup-like environment. What You'll Do * Direct embedding with enterprise customers during implementations * Custom solution development for specific client needs * Ongoing customer relationship management beyond initial deployment * Field-based problem-solving and rapid iteration with clients * Collaborate closely with a cross-functional team to deliver on tight deadlines * Build interactive web applications, RESTful APIs, and efficient algorithms * Optimize application performance, security, and browser compatibility * Lead feature implementation and redesign complex interfaces * Influence technical decisions to ensure quality, scalability, reliability, and security * Mentor and guide other engineers, fostering a culture of excellence and growth What You Bring * Bachelor’s degree or higher in Computer Science or a related field (required) * Minimum 10 years of experience in software engineering roles * Strong experience with LAMP/LEMP stack and Linux command line proficiency * Proven ability to build scalable, load-balanced web applications and APIs * Client-facing experience and strong communication skills * Experience leading and mentoring engineering teams * Startup or fast-paced environment experience with the ability to manage multiple priorities * Willingness and ability to work from the Falls Church, VA or Greenville, DE office 2-3 days per week Preferred Technical Skills * Programming: PHP, JavaScript, Python, Java * Frontend: ReactJS, JQuery, Bootstrap * Backend & API: RESTful APIs, AJAX, microservices architecture * Databases: SQL, NoSQL (Cassandra, MongoDB), Big Data (Hadoop, Hive, HBase) * Caching & Messaging: Redis, RabbitMQ * Linux LAMP/LEMP stack * PHP Java Linux Apache/E(?) SQL AWS * Cloud & Containerization: Docker, AWS, IaaS, PaaS, Elastic Search * DevOps & Version Control: Git, Bitbucket, third-party testing frameworks * Bonus: Security/privacy technologies (encryption, vulnerability assessment) * Bonus: Open-source project contributions * Bonus: Hands-on experience with AI algorithms Key Success Drivers * Strong self-discipline and self-motivation * High ethical standards, honesty, and transparency * Adaptability and comfort wearing multiple hats in a fast-changing environment * Ability to work effectively with diverse team members * Proactive leadership and a collaborative mindset Why Join? * Competitive Salary: $140,000–$180,000 annually (negotiable based on experience) * Comprehensive benefits: 100% paid medical, dental, and vision for employees and families (gold plan with zero out-of-pocket) * Financial Security: 401(k) plan with company match and company-paid life insurance * Hybrid schedule (2-3 days in-office), 2 weeks paid vacation * Career Advancement: Clear path to Director of Engineering within 18 months * Technical Growth: Work with modern technologies, solving complex, meaningful problems * Technical Impact: Significant influence on architecture and engineering practices * Professional Development: Tuition reimbursement for continued education and technical training * Collaborative Environment: Work alongside other talented engineers in a supportive culture * Team Building: Regular company events, celebrations, and team dinners Interviewing Process * HR Screening * Level 1: Phone interview with the Hiring Manager (technical background and client communication skills) * Level 2: On-site interview in the office (skills assessment) * Reference and Background Checks: conducted after successful interviews * Job Offer: provided to the selected candidate We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. Compensation Range: $124K - $198K

About the job Senior Python Engineer.Newark, NJ (Hybrid 2 days per week onsite).Full-time / Regular W2 role - No C2C.No Visa transfers at this time.Our client is looking for a talented and driven Senior Software Engineer to join our team.The ideal candidate will have a strong background in developin

Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies related to open source and tools use in the consumption and contribution. Formal training or certification on software and/or engineering concepts and 5+ years applied experience

Senior Software Engineer, Full Stack (Python, JavaScript, AWS). As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. At least 3 years of experience in software engineering (Internship experience does not apply)

Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, and solutions

Senior Software Engineer, Backend (Python/Go/Java, AWS). As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. At least 3 years of professional software engineering experience (Internship experience does not app

Data Engineer - LOCAL ONLY - NYC OR NJ. Snowflake, PYTHON, db and Azure products like ADF. Bachelor's Degree in Mathematics, Operations Research, Statistics, Computer Science, Engineering, or Physics; OR demonstrated capability to perform job responsibilities with a combination of a High School Dipl

Lead Software Engineer (Python, AWS). At least 4 years of experience in software engineering (Internship experience does not apply). McLean, VA: $193,400 - $220,700 for Lead Software Engineer.

The ideal candidate will bring experience in data management, business analysis and preferably BI tools such as Power BI and/or Python. Strong background in Analytics/ Tool development using Power BI, Python, SQL or other relevant tools.

Senior Software Engineer, Back End (Python, AWS ). As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. At least 3 years of professional software engineering experience (Internship experience does not apply).

An employer is looking for a Data Engineer to join their team in remotely. He/she will report to the Head of Data Engineering and will be responsible for designing, building, and maintaining the data infrastructure for the company's analytics, AI, and operational workflows. The Data Engineer will de

Lead Software Engineer, Backend (Python/Go/Java, AWS). At least 4 years of professional software engineering experience (Internship experience does not apply). McLean, VA: $193,400 - $220,700 for Lead Software Engineer.

As a Backend Engineer with data engineering experience, you will closely collaborate with our internal customers to determine the best API and backend system design to meet their scalability needs. Advocate for modern engineering practicese. You have proven experience in backend and data engineering

Senior Software Engineer, Backend (Python/Go/Java, AWS). New York, NY: $173,000 - $197,400 for Senior Software Engineer. Richmond, VA: $144,200 - $164,600 for Senior Software Engineer.

Job Summary: Strong Snowflake Data warehousing knowledge Basic-Medium level Python Development ETL-ELT Technologies (Expertise in any of the ELT Tool, preferably in Matillion) Basic understanding of AWS Cloud platform Basic understanding of BI ToolWe are looking for a skilled Data Engineer to join o

Lead Software Engineer, Backend (Python/Go/Java, AWS). As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. At least 4 years of professional software engineering experience (Internship experience does not apply).

We are looking for a quantitative software developer to join our team and contribute to multiple initiatives that aim to expand our business. Master/PhD degree in math, computer science, engineering, or other related fields. Proficiency in Python; knowledge of common data analytics tools (e.

Lead Software Engineer (Python, AWS). McLean, VA: $193,400 - $220,700 for Lead Software Engineer. New York, NY: $211,000 - $240,800 for Lead Software Engineer.

The Data Engineer reports to the Manager of IT Data Engineering. The Data Engineer must have a deep understanding of Structured Query Language (SQL) and be familiar with Snowflake, dbt (data build tool), and git version control. In this role, the Data Engineer collaborates with stakeholders across t

Lead Software Engineer, Backend (Python/Go/Java, AWS). McLean, VA: $193,400 - $220,700 for Lead Software Engineer. As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

We're looking for a highly skilled Senior Data Engineer to join our Data Engineering team within the Data Enablement organization. Write efficient SQL and develop in programming languages such as Python, Go, or Kotlin. Strong SQL skills and programming experience in Python, Go, or Kotlin.

Senior Software Engineer, Backend (Python/Go/Java, AWS). At least 3 years of professional software engineering experience (Internship experience does not apply). Richmond, VA: $144,200 - $164,600 for Senior Software Engineer.

HTG is a leader in developing and delivering innovative, purpose-built modular software and technology solutions to clients in the commercial and government sectors. Our people bring our software to life through collaborative relationships with our clients, working as a team, and helping to solve co

Senior Software Engineer, Full Stack (Python, JavaScript, AWS). McLean, VA: $158,600 - $181,000 for Senior Software Engineer. New York, NY: $173,000 - $197,400 for Senior Software Engineer.

This position is ideal for someone with a strong interest in the intersection of data science, software engineering, and cloud infrastructure, and who is eager to learn in a fast-paced environment. Data Platform Engineering experience in an enterprise environment. Proficiency in programming language

Lead Software Engineer (Python, AWS). McLean, VA: $193,400 - $220,700 for Lead Software Engineer. New York, NY: $211,000 - $240,800 for Lead Software Engineer.

Interact with business stakeholders and subject matter experts to understand their data visualization and business intelligence needs.Design, develop, test, and deploy Power BI scripts and generate visually appealing and insightful reportsIntegrate Power BI reports into other applications to provide

Senior Software Engineer, Back End (Python, AWS ). At least 3 years of professional software engineering experience (Internship experience does not apply). New York, NY: $173,000 - $197,400 for Senior Software Engineer.

Data Engineer, Analytics Engineer, or similar role in healthcare, pharma, biotech, finance, or other highly regulated industries. As a Senior Data Engineer at Formation Bio, you will focus on building the semantic layer that makes diverse data pillars interoperable, consistent, and actionable. This

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

Technical Skills: Proficiency with Python, SQL, and Excel. Senior Data Engineer, Digital Optimization. The Senior Data Engineer, Digital Optimization will lead efforts to identify, analyze, and prioritize prospective donors by combining and automating traditional prospect research with modern data s

McLean, VA: $193,400 - $220,700 for Lead Software Engineer New York, NY: $211,000 - $240,800 for Lead Software Engineer Richmond, VA: $175,800 - $200,700 for Lead Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the act

Python (pandas, NumPy, scikit-learn. Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. Experience with LLM evaluation and prompt engineering workflows.

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 int

By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond. In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data so

Senior Software Engineer, Back End (Python, AWS ). As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. At least 3 years of professional software engineering experience (Internship experience does not apply).

As a Senior Data Engineer at Maven Clinic, you will be responsible for designing, implementing, and maintaining performant and cost-efficient data pipelines (both batch and streaming). As a Senior Data Engineer at Maven, you will:. Collaborate with data platform and backend engineering teams to evol

Senior Manager, Software Engineer(Full Stack, People Leader). Manager Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. At least 6 years of experience in software engineering (Internship experience does not apply).