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Job Description Position: AWS Lead Location: NJ office (Day-1 onsite) - Iselin, NJ 08830 Job Type: 6+ month contract Job Description: • 15+ years of experience required., • AWS services like API development (API Gateway, Lambda), designing workflows (Step Functions mostly), event-based communication using SQS/SNS, S3 file download/upload, Secret management using AWS Secrets/SSM, debugging/monitoring using CloudWatch, etc. Effective experience in a technical leadership role: • Overseeing projects, • Experience in people management, supervision/team leadership role, • Experience in Stakeholder management, • You collaborate with key stakeholders to determine future direction of work, • Set and communicate team priorities that support the broader organization's goals, • Align strategy, processes, and decision-making across teams, • Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals, • Bachelor's degree or equivalent practical experience with a good academic background, • Should be able to explore newer technical areas along with the team, • Proven experience handling tickets for Dev/Production environments, • Experience in Platform Engineering to optimize environments for cost and efficiency, • Independently think through use cases and infer details on the requirements

Job Description Data Architect Location: Woodbridge Township New JerseyLook for Local/Nearby candidates Only one round- F2F Required W2 Candidates(USC,GC,GC EAD, H4 EAD)- with minimum validity of 12 months. Job Description: 8+ years of hands-on experience as a Data Architect working on innovative, scalable, data-heavy, on-demand enterprise applications and guiding data analysts & engineers 5+ years 7+ years of back-end and ETL experience in consuming, producing and integration with enterprise data providers in batch or on-demand 5+ years of experience with Data Analytics & Reporting using PowerBI, SAS Viya, Tableau 5+ years of experience with cloud-based data solutions like OpenShift Data Foundation (ODF), OpenShift Data Access (ODA), Big Query, Snowflake, Talend Cloud, Databricks 5+ years of experience with ETL tools like Alteryx, Talend, Xceptor, Apache Camel, Kafka Streams 4+ years of experience with data virtualization using tools like Dremio, BigQuery Omni, Redhat Virtualization 7+ years of experience with Rest API, Apigee, Kafka, JSON to consume and produce data topics 7+ years of experience with data modeling, metadata management, data governance, data lineage and data dictionary 7+ years of experience with MS SQL, MYSQL, PostgreSQL, MongoDB, Teradata, Apache Spark & deployment tools like Liquibase 3+ years of experience with Java 8+, Spring Framework, Spring Boot and Microservices 3+ years of experience with Docker, Kubernetes, OpenShift containers 3+ years of experience with Cloud Providers like OpenShift (OCP), GCP, Azure 3+ years of experience with CI/CD tools like Jenkins, Harness, UCD, GitHub, Maven, Gradle 3+ years of experience with DevSecOps tools like SonarQube, GitLab, Checkmarx, Black Duck 3+ years of experience with Logging, Monitoring tools ELK Stack, Splunk, AppDynamics 5+ years of experience Proficiency in scripting languages such as Python, Bash, Shell 3+ years of experience with tests frameworks using Jasmine, Karma, Selenium, Junit, JMeter, Rest Assured, Postman 3+ years of experience working in Agile environment using Scrum/Kanban 3+ years of experience working in Jira, Confluence.

Job Description Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation. 1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance. We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments. This role blends R&D with production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization. Key Responsibilities • Design and implement AI models for image classification, object detection, OCR, and feature extraction., • Develop real-time image quality assessment and capture guidance algorithms., • Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets., • Implement model optimization techniques for mobile (on-device) and cloud inference., • Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data., • Integrate ML models into production-grade APIs and mobile SDKs., • Monitor, evaluate, and continuously improve model accuracy and performance., • Collaborate with product and engineering teams to align AI capabilities with business goals. Requirements • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent experience)., • 3+ years of experience building and deploying ML models in production., • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)., • Experience with computer vision libraries (e.g., OpenCV) and OCR technologies., • Strong understanding of deep learning architectures for image and text recognition., • Familiarity with cloud platforms (AWS, GCP, or Azure) and API development., • Strong problem-solving skills and ability to work in fast-paced environments., • Based in the NJ / NY area; Hybrid working model.Preferred Qualifications, • Experience with model quantization and optimization for mobile deployment., • Knowledge of synthetic data generation and data augmentation techniques., • Background in security, liveness detection, or anomaly detection., • Exposure to compliance and data privacy regulations (GDPR, CCPA)., • Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems., • Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC., • Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada., • Flexibility First: Unlimited PTO, and 2 days WFH

Job Description No C2C only on W2... Need local profiles only In-Person interview will be required. Recent 3-5 years of banking domain experience required. Job Description: Job Summary: • We are seeking a highly skilled and experienced Senior Data Engineer specializing in Master Data Management (MDM) to join our data team., • The ideal candidate will have a strong background in designing, implementing, and managing end-to-end MDM solutions, preferably within the financial sector., • Lead the design, development, and deployment of comprehensive MDM solutions across the organization, with an emphasis on financial data domains., • Demonstrate extensive experience with multiple MDM implementations, including platform selection, comparison, and optimization., • Architect and present end-to-end MDM architectures, ensuring scalability, data quality, and governance standards are met., • Evaluate various MDM platforms (e.g., Informatica, Reltio, Talend, IBM MDM, etc.) and provide objective recommendations aligned with business requirements., • Collaborate with business stakeholders to understand reference data sources and develop strategies for managing reference and master data effectively., • Implement data integration pipelines leveraging modern data engineering tools and practices., • Develop, automate, and maintain data workflows using Python, Airflow, or Astronomer., • Build and optimize data processing solutions using Kafka, Databricks, Snowflake, Azure Data Factory (ADF), and related technologies., • Design microservices, especially utilizing GraphQL, to enable flexible and scalable data services., • Ensure compliance with data governance, data privacy, and security standards., • 12+ years of experience in data engineering, with a proven track record of MDM implementations, preferably in the financial services industry., • Extensive hands-on experience designing and deploying MDM solutions and comparing MDM platform options., • Strong functional knowledge of reference data sources and domain-specific data standards., • Expertise in Python, Pyspark, Kafka, microservices architecture (particularly GraphQL), Databricks, Snowflake, Azure Data Factory, SQL, and orchestration tools such as Airflow or Astronomer., • Familiarity with CI/CD practices, tools, and automation pipelines., • Ability to work collaboratively across teams to deliver complex data solutions., • Familiarity with financial data models and regulatory requirements., • Experience with Azure cloud platforms, • Knowledge of data governance, data quality frameworks, and metadata management.