• Architect and hands-on build the new ASP.NET Core / C# online banking platform - system design, service boundaries, data modeling and API contracts. • Design and implement critical features and platform components; lead code and design reviews, setting the technical bar. • Lead and mentor a small agile team - run sprints, unblock engineers, own delivery commitments, coach through 1:1s and pair programming. • Partner with Finance Group technology leaders, product, QA and security to translate business and regulatory needs into robust solutions. • Collaborate with the Embrace Technology group on shared architecture, cloud and CI/CD standards and with Venture Labs / Embrace AI Group to embed AI capabilities (AI-assisted dev, predictive insights, fraud/risk monitoring) into the platform. • Drive engineering best practices - testing, CI/CD and adoption of modern AI dev tools. • Operate as a forward-deployed engineer - embed with internal product partners to co-design solutions, then rapidly conceptualize, prototype and launch new products, compressing concept-to-production from quarters to weeks. • Lead AI-first, new-product development end-to-end - design and ship LLM- and agent-powered capabilities using services such as Google Vertex AI / Gemini, OpenAI (and Azure OpenAI) and orchestration frameworks like LangChain, with disciplined evaluation, guardrails and cost / latency management. • Build full-stack and real-time - modern, accessible UX/UI, public REST APIs and live experiences via SignalR on .NET Core / C# control plane, with event-driven services through Azure Service Bus / messaging, etc. • Own the cloud and delivery foundation - infrastructure-as-code with Terraform, CI/CD on GitHub (Actions) and containerized, repeatable deployments across Azure and/or AWS. • Engineer security and compliance in by design - identity and access management (OAuth2 / OIDC, SSO, MFA), secrets management and data protection aligned to PCI DSS, SOC 2 and FFIEC, with auditability from day one. • Build and empower the team - recruit, coach and unblock a small squad of progressive FDEs, giving them the autonomy, tooling and technical bar to ship safely and fast.

Role Description We are seeking an experienced Hadoop Big Data Developer to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role you will be responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads. The ideal candidate will combine deep technical expertise across the Hadoop ecosystem with strong software engineering fundamentals and a clear understanding of how to deliver reliable, performant, and cost-effective data platforms in production environments. - Design, develop, and operate end-to-end big-data pipelines on Hadoop, ingesting data from a diverse mix of relational, file-based, streaming, and API-driven sources. - Build robust ETL/ELT workflows using Apache Spark, Hive, Pig, and Sqoop, with strong attention to data quality, idempotency, error handling, and recoverability. - Develop high-throughput streaming data pipelines using Kafka, Spark Streaming, or Flink, and integrate them with downstream analytical and operational systems. - Optimize Spark and MapReduce jobs through careful tuning of partitioning, memory, serialization, and skew handling to meet demanding SLAs at minimal cost. - Design and maintain data models and storage layouts on HDFS, Hive, HBase, and modern lakehouse formats (Parquet, ORC, Delta, Iceberg, Hudi) to balance flexibility and performance. - Implement data governance, lineage, and quality controls in collaboration with data governance and security teams. - Build robust monitoring, alerting, and logging strategies for big-data pipelines, including job-level SLAs and proactive failure detection. - Partner with data scientists and analysts to deliver curated, reliable, and well-documented datasets that accelerate their work. - Automate pipeline orchestration using Airflow, Oozie, or similar workflow engines, with clean dependency management and clear ownership boundaries. - Continuously evaluate and adopt new technologies in the big-data and cloud ecosystem (EMR, Databricks, Snowflake, BigQuery) where they offer meaningful improvements. - Lead performance reviews and architecture audits of existing pipelines, proposing concrete refactoring and optimization initiatives. - Document data architectures, schemas, pipeline behaviors, and operational runbooks in a way that makes the platform supportable as the team scales. - Mentor junior engineers and contribute to the team’s engineering standards and best practices. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of professional experience designing and operating big-data pipelines on Hadoop. - Strong hands-on expertise with Apache Spark (Scala, Python, or Java) in production environments. - Solid experience with Hive, HDFS, Sqoop, HBase, and the broader Hadoop ecosystem. - Hands-on experience with streaming data platforms such as Kafka, Spark Streaming, or Flink. - Strong SQL skills and experience working with both relational and NoSQL data stores. - Experience with workflow orchestration tools such as Airflow or Oozie. - Solid understanding of distributed systems concepts, including partitioning, replication, and fault tolerance. - Strong scripting skills in Python or Shell. - Excellent troubleshooting, debugging, and documentation skills. Preferred Qualifications - Experience operating Hadoop on cloud platforms such as AWS EMR, Azure HDInsight, or Databricks. - Familiarity with modern lakehouse formats (Delta, Iceberg, Hudi). - Exposure to data governance tooling such as Apache Atlas or Collibra. - Experience with Kubernetes-based data platforms (Spark-on-K8s, Trino). - Hands-on experience with CI/CD and infrastructure-as-code in data engineering workflows. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com . Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

• Lead backend development using Java (Spring Boot, Hibernate, Dropwizard) and related technologies • Design and build scalable microservices supporting high-volume, highly available digital platforms • Design, implement, and evolve RESTful APIs and service-to-service communication patterns • Design and implement event-driven architectures (Kafka, asynchronous messaging) • Design and maintain resilient integrations with internal and third-party systems (retry handling, idempotency, monitoring, operational support) • Own and evolve backend event contracts, payload schemas, and service integrations, partnering with Product, Analytics, and Data Engineering to ensure downstream systems (CRM, lifecycle, reporting, analytics) receive reliable, well-structured data • Drive API governance, service contracts, versioning strategies, and integration standards across the platform • Support BAU while identifying opportunities to reduce technical debt, simplify legacy processes, and modernize the platform through service consolidation and architectural improvements • Ensure high-performance, secure, observable, and maintainable services through best practices, automated testing, CI/CD, and production monitoring • Lead production incident investigations, root cause analysis, and implementation of long-term preventative solutions • Provide technical leadership through design reviews, pair programming, code reviews, and mentorship by contributing to hiring, onboarding, and career development of engineers

Role Description Als Consultant bringst Du Hands-on Deine Expertise direkt im Projekt ein und haust so alle aus den Socken. Niemand ist so wie DU! - Du zauberst mit Java (17+), Spring Boot und Microservices die coolsten Anwendungen aus dem Code-Hut. - Du bist Meister des CI/CD-Universums und sorgst dafür, dass Anwendungen mit Lichtgeschwindigkeit ins Rampenlicht katapultiert werden. - Mit Docker und Kubernetes jonglierst Du virtuose Containerstücke und beeindruckst mit Performance, die uns umhaut. - Cloud-Plattformen wie AWS oder Azure sind Deine Spielwiesen, auf denen Du die Wolken beherrschst und Anwendungen in luftige Höhen hebst. - Bei der Frontend-Magie bist Du der Superstar und kreierst mit Angular, React und/oder vue.js beeindruckende interaktive und reaktionsfähige Benutzeroberflächen, die den Nutzer zum Staunen bringen. Qualifications - Abgeschlossenes IT-Studium oder vergleichbare Qualifikation. - Mindestens 3 Jahre Erfahrung im Fullstack-Development. - Erfahrung in Java (17+), Spring Boot und Microservices. - Kenntnisse in CI/CD, Docker, Kubernetes und Cloud-Plattformen (AWS oder Azure). - Frontend-Expertise mit Angular, React oder vue.js. - Erfahrung mit TDD und Pair-Programming. - Verhandlungssicheres Deutsch und gutes Englisch. - Zielorientiert, strukturiert, eigenständig und lösungsorientiert. - Kommunikationsstark, dienstleistungsorientiert und teamfähig. Benefits - Work-Life-Balance: nicht nur ein Buzzword, sondern gelebt durch Remote-Work, 30 Tage Urlaub, flexible Arbeitszeiten und Workation. - Vergütung & Leistungen: sehr attraktive Bezahlung mit Wachstumsperspektive, Vergünstigungen über Corporate Benefits, Unterstützung bei Deiner individuellen Altersvorsorge. - Persönliche Entwicklung & Ausstattung: individuelle Weiterentwicklungs-möglichkeiten und eine moderne Ausstattung (auch Zuhause) sind für uns selbstverständlich. - People & Community: Afterworks in Deiner Region, drei Tage Off-Site mit der gesamten Crew, Familienfeste für Groß & Klein, digitale Spieleabende und remote Kaffeepausen mit den Kollegen, damit Du von Anfang an Teil der 4E-Family bist. - Feel-Good: der obligatorische Obstkorb, die Heiß- und Kaltgetränke-Flat im Büro sind natürlich inclusive, mit Wellpass unterstützen wir Dich bei Deinen Wünschen im Fitnessbereich. - Nachhaltigkeit: Vergünstigtes Deutschlandticket für ca. 30€ sowie Firmenreisen mit der Bahn – unser Beitrag für einen verantwortungsvollen Umgang für unsere Zukunft.