Product Engineer

Join gsstech-group as a Senior Data Engineer within our dynamic Data Engineering chapter in the Technology Platform domain. We seek a talented individual with a robust background in real-time data streaming, contemporary data platforms, and the operationalization of AI/ML technologies (AIOps, MLOps, LLMOps).In this pivotal role, you will design, build, and optimize scalable data pipelines that empower advanced analytics and AI-driven solutions.

Join our innovative team as a Data Engineer within the Data Engineering Chapter, supporting the Group Operations Team. As a vital contributor, you will partner with both business and technical stakeholders to define data needs, execute impact assessments, and create robust, scalable data pipelines utilizing cutting-edge technologies such as PySpark.Key ResponsibilitiesEngage with the Group Operations Team to capture and evaluate data requirementsConduct impact assessments, technical data mapping, and data profilingArchitect and implement data extraction, transformation, and loading (ETL) pipelinesEnhance and fine-tune data pipelines using PySpark as part of the bank's modern technological ecosystemCraft data solutions that align with AECB application data modelsGuarantee data quality, integrity, and consistency across all systemsParticipate in unit testing, deployment, and production supportUtilize advanced AI tools (e.g., Claude) to boost development efficiency and minimize operational errorsCollaborate in an agile environment to foster continuous improvement initiatives

Join our dynamic team at gsstech-group as a talented Data Engineer within the Data Engineering Chapter, working closely with the Group Operations team at ENBD. In this role, you will be instrumental in developing scalable data pipelines, conducting data analyses, and providing top-tier data solutions that align with our enterprise data models.Key ResponsibilitiesEngage with the Group Operations Team daily to clarify business and data requirements.Execute Impact Assessments for both new and existing data modifications.Carry out Technical Data Mapping and Data Profiling.Design, implement, and sustain ETL pipelines for efficient data extraction, transformation, and loading.Create data solutions that integrate with the AECB application following established data models.Enhance and maintain data pipelines utilizing PySpark on contemporary data platforms.Ensure the quality, consistency, and integrity of data across various systems.Conduct unit testing, debugging, and deployment of data solutions.Utilize modern tools and AI technologies (e.g., Claude) to boost development efficiency and minimize operational errors.Collaborate effectively with cross-functional teams including business analysts, architects, and QA.Required Skills & QualificationsProven expertise in PySpark and distributed data processing.Experience with Informatica BDM Development (Big Data Management).Deep understanding of ETL/ELT concepts and data pipeline architecture.Proficiency in data mapping, data profiling, and impact analysis.Experience with large-scale data systems and cloud/data platforms.Strong SQL skills and a solid grasp of data warehousing principles.Familiarity with the banking/financial domain is a plus.Knowledge of AI-assisted development tools (e.g., Claude) is advantageous.Excellent problem-solving and analytical abilities.Preferred QualificationsExperience with AECB data/reporting systems.Exposure to big data ecosystems (Hadoop/Spark clusters).Understanding of data governance and compliance standards.

Join our dynamic team at gsstech-group as a Data Engineer specializing in real-time streaming and event-driven architectures. The successful candidate will play a pivotal role in constructing scalable data pipelines, optimizing streaming systems, and guaranteeing exceptional performance in distributed environments.

Join our dynamic team at gsstech-group as a Full Stack Software Engineer! In this role, you will be responsible for developing and maintaining innovative web applications that drive the success of our clients. You will work closely with cross-functional teams to deliver high-quality software solutions that meet both business and user needs. If you are passionate about technology and eager to tackle complex challenges, we want to hear from you!

Join a leading UAE bank as a Business Intelligence Engineer specializing in Power BI.We are seeking a detail-oriented professional with a strong background in data visualization and analytics, particularly within the banking sector. This role requires proficiency in tools like Tableau and Power BI, as well as experience handling large datasets.

Join our dynamic team at gsstech-group as a Senior Technology Engineer, where you will leverage your expertise in AI/ML platforms, MLOps, and scalable inference systems. In this pivotal role, you will be responsible for the design, deployment, and optimization of cutting-edge AI-driven solutions in both on-premises and cloud environments, with a particular emphasis on Generative AI and Large Language Model (LLM)-based applications.Key Responsibilities:Architect, develop, and sustain containerized applications utilizing OpenShift, OpenShift AI, Kubernetes, and Helm Charts.Integrate and fine-tune AI inference engines like Triton Inference Server and vLLM for optimal model serving performance.Oversee the complete model lifecycle management from deployment to monitoring, scaling, and maintenance in production settings.Implement comprehensive monitoring and alerting frameworks with tools such as Prometheus and Grafana.Collaborate on groundbreaking Generative AI and LLM initiatives, including Agentic AI systems.Establish and manage CI/CD pipelines using Jenkins, Ansible, Groovy, and Terraform.Create automation tools and scripts with Python to enhance system efficiency and reliability.Design and administer AI/ML solutions on AWS Cloud, utilizing services like Amazon SageMaker and AWS Bedrock (preferred).Enhance AI platforms across hybrid environments (on-premise and cloud).Ensure systems are scalable, resilient, and high-performing.Contribute to architectural design decisions and shape the future roadmap of AI platform capabilities.

Join gsstech-group as a Technology Engineer specializing in AI/ML Platforms, MLOps, and GenAI infrastructure. In this pivotal role, you will be responsible for designing, building, and scaling cutting-edge AI systems. We are looking for a candidate who excels in containerized environments, model serving, and cloud-based AI architecture, with an emphasis on performance, scalability, and resilience.Key Responsibilities:Design, build, and maintain containerized applications leveraging technologies such as OpenShift, OpenShift AI, Kubernetes, and Helm Charts.Deploy and optimize AI inference engines like Triton Inference Server and vLLM for high-performance model serving.Lead the end-to-end model lifecycle management, including deployment, monitoring, scaling, and retraining workflows.Implement comprehensive monitoring, logging, and alerting systems using Prometheus and Grafana.Collaborate on projects focused on GenAI and LLM-based solutions, particularly Agentic AI solutions.Develop and automate CI/CD pipelines with tools such as Jenkins, Groovy, Ansible, and Terraform.Create automation scripts and internal tools using Python.Architect and manage AI/ML solutions on AWS, utilizing services like SageMaker and Bedrock (preferred).Enhance AI platforms across on-premise and cloud environments.Ensure systems are highly scalable, fault-tolerant, and optimized for performance.Contribute to architecture design, platform roadmap, and strategic technical decisions.

Join our dynamic team at gsstech-group as a Senior Software Engineer, specializing in Zafin SaaS solutions. In this pivotal role, you will be responsible for designing, developing, and maintaining innovative software applications that enhance our financial service offerings. You will collaborate closely with cross-functional teams to deliver high-quality solutions tailored to meet our clients' needs.

Join our innovative team at gsstech-group as a Senior Product Engineer. In this role, you will lead the design and development of cutting-edge products that push boundaries and redefine standards. You will collaborate closely with cross-functional teams to drive product innovation and ensure quality throughout the lifecycle.

We are seeking a highly skilled Senior Software Engineer to join our dynamic team at gsstech-group. In this role, you will be responsible for developing and implementing innovative software solutions that enhance our Zafin RBP product. You will collaborate with cross-functional teams to deliver high-quality software that meets customer needs.

Are you driven by a passion for Artificial Intelligence and eager to foster innovation within a dynamic, impact-oriented environment? Do you possess substantial experience in developing AI-driven applications and have a knack for mentoring others? If this resonates with you, we would love for you to become a part of our team at Nexthink as a Senior AI & ML Engineer!In this pivotal role as a senior member of the AI team, you will spearhead architectural decisions, set best practices, and deliver resilient, scalable AI systems, with a keen focus on AI-driven and agentic applications operating in production settings.Key ResponsibilitiesLead AI Development: Take ownership of the comprehensive design, development, and operational management of production-level AI/ML solutions, encompassing ML and NLP models, large language models (LLM), retrieval-augmented generation (RAG), and multi-agent systems. Make critical architectural decisions regarding model selection, training methodologies, retrieval techniques, orchestration frameworks, and infrastructure.AI Excellence: Develop evaluations and establish success metrics utilizing state-of-the-art AI platforms.MLOps: Apply and oversee MLOps methodologies to enhance the deployment, monitoring, and maintenance of models in production environments.Collaboration & Leadership: Partner closely with software engineers, data scientists, and product teams to synchronize AI capabilities with business objectives.Mentorship & Coaching: Provide guidance and support to junior AI engineers, nurturing a culture of continuous learning and knowledge sharing.

About Nightfall:Nightfall is an innovative, AI-driven platform focused on data loss prevention and insider risk management, safeguarding sensitive information across various SaaS applications, Generative AI tools, email systems, endpoint devices, and beyond. Trusted by hundreds of clients, from groundbreaking AI startups to major financial institutions, Nightfall excels at detecting and halting data exfiltration on a large scale. Our platform empowers organizations to innovate without the fear of losing intellectual property or jeopardizing customer information. With automated remediation capabilities, security violations are addressed proactively before escalating into incidents, while end-users receive real-time training and support to rectify any violations they may introduce.Backed by top venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, Nightfall is further strengthened by cybersecurity veterans including Enrique Salem (former CEO of Symantec), Frederic Kerrest (founder of Okta), and others.About the Role:We are seeking an outstanding technical leader to join our dynamic team at Nightfall. In the capacity of Lead Applied Scientist within the AI Engineering division, you will be responsible for developing machine learning and natural language processing models, as well as Generative AI solutions to enhance our Data Leak Protection (DLP) and other security offerings. You will spearhead efforts in researching and implementing machine modeling techniques to address security challenges, providing mentorship to both ML and Backend engineers as they move systems into production. Your contributions will be vital in shaping the long-term architecture of our AI Platform.This is a hybrid position (2 days in the office) based in our Bengaluru office, offering an ideal opportunity to pursue your passion for Data Science and ML engineering.Responsibilities:Engage in fast-paced, hands-on execution, collaborating with the team to achieve clear business objectives and deliver results effectively.Employ creative statistical and machine learning modeling techniques to address complex problems in enterprise security and data leak detection, researching the most accurate and cost-efficient solutions.Develop, train, and optimize NLP, large language, and other models for deployment in extensive, real-time environments.Collaborate with the team to transition model prototypes into production through all phases of the ML lifecycle: system architecture, data generation, training, and deployment.

Role OverviewJoin our dynamic team as an experienced Redis Engineer specializing in RTS Redis (Redis TimeSeries) for real-time data processing and caching. We seek a candidate with robust hands-on expertise in Redis administration, focusing on data dump, persistence, and performance optimization. You will be instrumental in deploying and managing Redis solutions within OpenShift environments.A developer-centric mindset, along with a deep understanding of Redis data structures, pipeline management, and AI integration, is crucial for success in this role.Key ResponsibilitiesDesign, configure, and maintain RTS Redis (Redis TimeSeries) databases to facilitate real-time analytics and time-series data processing.Implement caching, data dump, and persistence techniques to ensure data integrity and enhance performance.Develop and oversee Redis pipelines, prioritizing Redis databases while integrating other databases as necessary.Deploy Redis environments on OpenShift with a focus on scalability, high availability, and fault tolerance.Integrate RTS Redis solutions with Python and DevOps tools to streamline automation and monitoring.Optimize memory usage, query performance, and overall system reliability within Redis.Collaborate with development teams to effectively integrate Redis into microservices and application architectures.Investigate Vector Database integrations and AI-driven caching strategies to elevate performance.Required Skill SetPrimary Skills:Redis Administration (RTS Redis / Redis TimeSeries)Real-time Data ProcessingCaching, Dump, and PersistenceImmediate Deployment and Configuration SkillsAdditional Skills:PythonDevOpsOpenShiftPreferred Combination:RTS Redis + OpenShift Deployment ExperienceGood to Have:Familiarity with Vector Databases (e.g., Pinecone, Milvus, Weaviate)Experience in AI model caching and data managementKnowledge of CI/CD automation for Redis workloads

Join our dynamic team at gsstech-group as a Senior Oracle ERP Engineer specializing in Finance and Procurement ERP solutions. You will be pivotal in enhancing and managing our Oracle ERP implementations, ensuring they align with global compliance and operational excellence.Key Responsibilities:Serve as the primary Subject Matter Expert (SME) for our Oracle Fusion ERP system, overseeing solution design and implementation.Manage enhancements, quarterly updates, and the overall financial architecture post-implementation.Collaborate with cross-functional teams to troubleshoot and resolve issues, ensuring optimal system performance.

Join our dynamic team as a MongoDB Database Engineer where you will be responsible for managing, optimizing, and automating production-grade MongoDB clusters in enterprise environments. This role is not for the faint-hearted; it requires a profound understanding of MongoDB internals—we're looking for someone who can own cluster health, performance, and automation from start to finish. Key ResponsibilitiesAdminister and support MongoDB replica sets and sharded clustersDesign and maintain robust high availability and disaster recovery strategiesPerform backups, restores, upgrades, and patching with minimal or zero downtimeMonitor cluster health, replication lag, disk usage, and query performanceDiagnose and resolve issues such as slow queries, locking problems, index inefficiencies, and capacity bottlenecksImplement security best practices including:Authentication & authorization (RBAC)TLS / encryption at restAuditing and access controlsAutomate MongoDB operations using Ansible, scripts, and CI/CD pipelinesSupport MongoDB deployments on AWS / Azure / GCPCollaborate closely with application and DevOps teams for schema design and performance optimizationParticipate in on-call rotations and manage production incidentsMaintain thorough operational documentation and runbooks

Join our innovative team at gsstech-group as a DevOps Automation Engineer. We are looking for a talented professional with extensive experience in automation pipelines, cloud infrastructure, and Oracle database environments. This pivotal role is part of our Technology Engineering group, focusing on developing robust, scalable, and efficient automation solutions across our technology and data platforms.Key ResponsibilitiesDesign, implement, and sustain CI/CD pipelines leveraging tools such as Jenkins and Git.Automate infrastructure provisioning utilizing Terraform (IaaS).Create and manage automation scripts using Groovy, Ansible, and other scripting languages.Work collaboratively with cross-functional teams to adopt and promote DevOps best practices.Guarantee high availability, performance, and scalability of systems and automation pipelines.Integrate and oversee automation workflows in both cloud and on-premises environments.Support and enhance Oracle database environments (preferred).Uphold code quality by adhering to best-practice coding standards and version control.Diagnose pipeline failures and enhance deployment workflows.Engage in Agile ceremonies including sprint planning, stand-ups, and retrospectives.Manage tasks and workflows via tools like JIRA (user stories, boards, tracking).Required Skills & ExperienceProven hands-on experience with:Jenkins (CI/CD pipelines)Ansible (configuration management)Git (version control)Terraform (Infrastructure as Code)Groovy scriptingComprehensive understanding of Cloud DevOps & IaaS architecture.Experience in constructing and maintaining automation frameworks.Familiarity with the software development lifecycle (SDLC) and DevOps methodologies.Knowledge of Agile methodologies (Scrum, Kanban).Preferred SkillsExperience as or with an Oracle DBA.Expertise in database automation and performance tuning.Familiarity with enterprise-level banking or financial systems.Experience with monitoring tools and logging frameworks.QualificationsBachelor’s degree in Computer Science, Engineering, or a related field.3–7 years of relevant experience in DevOps / Automation Engineering.

Job Title: Senior AI ML Data Engineer for ADAS Backend Development with AzureWe are seeking a skilled Python Lead with extensive experience in Azure Cloud to oversee data-in-the-loop operations, emphasizing data traceability and sequencing.Key Responsibilities:Prioritize project requirements in alignment with stakeholder expectations. Design, develop, and maintain high-quality Python code, with a primary focus on FastAPI for API development.Manage API deployment and operations on Azure Cloud, utilizing Docker and Kubernetes for effective containerization and orchestration.Implement Infrastructure as Code (IaC) using Terraform to ensure scalable and maintainable cloud infrastructure. Collaborate with cross-functional teams to define project requirements and architecture.Conduct thorough code reviews, offer technical guidance, and mentor team members to promote continuous improvement.Uphold best practices in software development, including rigorous testing, comprehensive documentation, and effective version control.Troubleshoot and resolve complex technical challenges to ensure system reliability and performance.

Join our dynamic team at GSSTech Group as a Software Engineer specializing in Zafin SaaS solutions. We are on the lookout for innovative minds to enhance our offerings and drive our commitment to excellence in software development. You will work with cutting-edge technologies, collaborate with cross-functional teams, and contribute to impactful projects that ensure our clients receive top-tier services.