• Architect and implement a scalable portal platform for non-technical administrators. • Utilize Liferay DXP's native CMS capabilities to build a decoupled, admin-manageable ecosystem. • Design Zero-Code Content Management systems for editable content via Liferay's UI. • Configure Content Pages and Widget Pages for reuse by admins. • Implement granular permissions for content editors and admins. • Create custom structures and templates for content types (e.g. Blog Post, Event). • Build dynamic listing pages for admins without coding. • Develop a library of reusable Liferay Fragments. • Ensure easy combination of fragments for unique page layouts. • Build dynamic navigation and site structures editable by admins. • Configure workflows for content management by non-technical users. • Install and configure Liferay DXP with necessary templates and site initializers. • Implement forms with admin-configurable fields and validations.

Title: Hadoop Developer Location: Remote Full Time Experienced Job Description: Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled Hadoop Developer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Hadoop Developer Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 5+ years Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party) Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap Compensation: Competitive base salary commensurate with experience, plus benefits. Employment Terms & Visa Policy This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies. This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or third-party arrangements for this role. BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables. No new H1B sponsorship is available for this role. However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates. For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience. Job Summary We are seeking an experienced Hadoop 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. Key Responsibilities - 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. Required 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 or contact us. Learn more about Bright Vision Technologies at www.bvteck.com. We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans. Position offered by “No Fee Agency.” 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.

• Contribuer au succès continu et à l’évolution de l’outil de migration ShareGate • Livrer des fonctionnalités et améliorations à ShareGate Migration Tool • Moderniser le code existant pour que l'application reste performante et maintenable

Role Description We’re looking for a Mobile Audio Developer to join our team. The ideal candidate is a mobile developer with deep expertise in native audio programming for iOS and/or Android platforms. You will be responsible for designing, developing, and optimizing audio systems and features directly within native mobile environments without reliance on game engines. You will work closely with sound designers, product managers, and other engineers to deliver high-quality, low-latency audio experiences. - Design, develop, and optimize native audio systems and pipelines for iOS and/or Android platforms. - Build low-latency, real-time audio features using native frameworks (Core Audio, AVFoundation, AAudio, Oboe, OpenSL ES). - Manage audio thread prioritization, buffer management, and real-time constraints at the OS level. - Collaborate with sound designers, composers, and product teams to deliver high-quality audio experiences. - Debug and resolve audio-specific issues such as glitches, dropouts, sync drift, and latency problems. - Help provide architectural oversight of the audio system across the entire application. - Write technical documentation for audio pipelines, integration patterns, and platform-specific implementations. Qualifications - Strong native mobile development skills in Swift/Objective-C (iOS) and/or Kotlin/Java (Android). - Hands-on experience with native audio APIs — Core Audio, AVFoundation, AudioUnit on iOS and/or AAudio, Oboe, AudioTrack on Android. - Solid understanding of audio concepts — DSP, signal processing, sample rates, bit depth, buffering, and latency management. - Familiarity with audio file formats and codecs (AAC, MP3, FLAC, PCM, Opus). - Strong multi-threading skills, particularly for real-time audio thread management. - Excellent communication skills, with the ability to bridge technical and creative disciplines. - Fluent in English. Requirements - Experience with cross-platform audio libraries such as JUCE, PortAudio, or miniaudio. - Familiarity with audio middleware (FMOD or Wwise) outside of a game engine context. - Experience with music apps, podcast platforms, VoIP, or audio streaming products. - Knowledge of MIDI, AUv3 plugin development, or real-time audio effects processing. - Experience with spatial/3D audio (e.g. Apple Spatial Audio, binaural rendering). - Solid technical foundation (e.g. Computer Science, Electrical Engineering, Music Technology, or equivalent). Benefits - Permanently remote position. - An opportunity to hone and improve your skills by applying them to a diverse variety of engaging projects. - Be part of an international group with offices worldwide. - Career growth and development. - Working closely with a team of like-minded people in a fast-paced, multicultural environment. - Ongoing training and professional self-improvement opportunities. - Flexible working hours. - An inclusive culture and open communication.