Careers at AvePoint

Securing the Future with AvePoint AvePoint is a global leader in data management and governance, trusted by over 21,000 customers worldwide to enhance their digital workplaces across Microsoft, Google, Salesforce, and other collaboration platforms. Our global channel partner program includes more than 3,500 managed service providers, value-added resellers, and systems integrators, with our solutions featured in over 100 cloud marketplaces. To learn more, visit www.avepoint.com . At AvePoint, we are dedicated to investing in our people. Our culture, driven by agility, passion, and teamwork, empowers you to shape your career, make a significant impact, and take ownership of your future. Discover how you can unleash your potential with us! Job Summary: We are seeking a passionate and innovative AWS Cloud Engineer to join our team. In this role, you will be responsible for migrating on-premises applications to AWS infrastructure using Infrastructure as Code (Terraform). You'll collaborate closely with application and data teams to ensure they have a solid, scalable platform for deploying their solutions. If you thrive in a collaborative and supportive environment and have a desire to continually learn while building cutting-edge cloud solutions, we want to hear from you! Key Responsibilities: Cloud Infrastructure & Operations: Implement robust solutions on AWS using services like EC2, Lambda, VPC, S3, RDS, and Document DB. Manage infrastructure changes via IaC (Terraform), ensuring scalable environments with EC2, ALB, NLB, EBS, and EFS. Migrate workloads to AWS, ensuring seamless transitions. Automate deployments and data resilience using Python, shell scripting, and SSM. Implement monitoring, alerting, and security with CloudWatch, SNS, CloudFront, and WAF. Administer Linux and Windows environments, ensuring optimal performance and security. Support incident management and participate in the on-call rotation. Collaboration & Continuous Improvement: Work with clients and internal teams to understand requirements and deliver customized AWS solutions. Collaborate on CI/CD pipelines with tools like GitHub, Terraform, Jenkins, and AWS services. Maintain comprehensive documentation and stay updated with industry trends. Collaborate in an agile environment to deliver high-quality work. What We Are Looking For: Requirements: 3+ years of experience with core AWS services, such as IAM, networking, security, and operations. Strong understanding of both relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Document DB, MongoDB). Proficiency in at least one programming language, such as Bash, Python, or Go, with additional expertise in Linux administration, Windows, and shell scripting. Solid understanding and experience building systems using AWS compute services, such as EC2, and serverless platforms like AWS Lambda. Experience with infrastructure-as-code tools, such as Terraform, and a clear understanding of infrastructure pipeline concepts. Experience implementing AWS database solutions, such as RDS, DynamoDB, or Aurora. Familiarity with network protocols and IP networking, along with experience in network troubleshooting. Strong understanding of security best practices and a commitment to integrating them into daily tasks and projects. Experience with monitoring tools, such as Splunk, Grafana, and logging solutions like the ELK stack. Excellent problem-solving skills and the ability to work under pressure to troubleshoot and resolve complex issues. Excellent communication skills, with proficiency in spoken and written English, for effective collaboration with cross-functional teams. Preferred Qualifications: Proven track record of managing large-scale infrastructure in cloud environments like AWS or Google Cloud. AWS technical certification, such as the AWS Certified Solutions Architect, AWS Certified Developer, or AWS Certified SysOps Administrator. Skilled in collaborative projects with distributed teams and working with agile methodologies such as Scrum. Willingness to stay updated on key AWS technologies and innovations. Internal drive to learn, improve, and succeed with a keen eagerness to embrace challenges. AvePoint is proud to employ talent from many different backgrounds, experiences, and identities. We believe that diversity and inclusion drives our success and is at the core of how we hire, communicate, and collaborate to deliver value and excellence. We are committed to fostering an environment where people can bring their whole selves to work and feel a sense of belonging, and we continue to work toward creating a workforce that represents the diversity of our customers and communities. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .

Securing the Future with AvePoint AvePoint is a global leader in data management and governance, trusted by over 21,000 customers worldwide to enhance their digital workplaces across Microsoft, Google, Salesforce, and other collaboration platforms. Our global channel partner program includes more than 3,500 managed service providers, value-added resellers, and systems integrators, with our solutions featured in over 100 cloud marketplaces. To learn more, visit www.avepoint.com . At AvePoint, we are dedicated to investing in our people. Our culture, driven by agility, passion, and teamwork, empowers you to shape your career, make a significant impact, and take ownership of your future. Discover how you can unleash your potential with us! Job Summary: We are seeking a skilled Backend Developer to manage and maintain the Master Data Manager (MDM) system, ensuring data accuracy and optimizing backend services for seamless performance. The ideal candidate will have experience in developing robust systems using Java and managing databases with Postgres/Oracle RDBMS. Key Responsibilities: Maintain and manage the Master Data Manager (MDM) system, ensuring data accuracy and real-time data flow to downstream systems. Design, implement, and optimize ETL processes and data pipelines. Develop and maintain backend services using Java (Spring, Maven) for scalable and high-performance systems. Utilize strong SQL skills in Postgres/Oracle RDBMS to manage databases, write complex queries, and optimize performance. Collaborate with DevOps teams to integrate CI/CD pipelines for automated deployment and efficient development cycles. Ensure code quality through peer reviews and automated testing. Monitor and optimize application performance, addressing bottlenecks as needed. Stay updated with the latest backend technologies and industry best practices. What We Are Looking For: Strong experience in backend development using Java (Spring, Maven). Expertise in database management with Postgres/Oracle RDBMS and writing complex SQL queries. Proven ability to design and optimize ETL processes and data pipelines. Familiarity with CI/CD pipelines and DevOps practices. A commitment to maintaining high code quality and performance standards. Strong problem-solving skills and a proactive approach to resolving issues. AvePoint is proud to employ talent from many different backgrounds, experiences, and identities. We believe that diversity and inclusion drives our success and is at the core of how we hire, communicate, and collaborate to deliver value and excellence. We are committed to fostering an environment where people can bring their whole selves to work and feel a sense of belonging, and we continue to work toward creating a workforce that represents the diversity of our customers and communities. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .

Securing the Future with AvePoint AvePoint is a global leader in data management and governance, trusted by over 21,000 customers worldwide to enhance their digital workplaces across Microsoft, Google, Salesforce, and other collaboration platforms. Our global channel partner program includes more than 3,500 managed service providers, value-added resellers, and systems integrators, with our solutions featured in over 100 cloud marketplaces. To learn more, visit www.avepoint.com . At AvePoint, we are dedicated to investing in our people. Our culture, driven by agility, passion, and teamwork, empowers you to shape your career, make a significant impact, and take ownership of your future. Discover how you can unleash your potential with us! Scope of service Advise on viability, feasibility, and impact of policy/business changes on product Elicit, analyse, and document business and information needs which can be supported by the Salesforce implementation in agile setting. Proficient in creating functional and non-functional user stories with acceptance criteria Participate in all agile ceremonies (sprint review and retrospective) with Product Team Work with Product Team to resolve issues and ensure defects are rectified according to requirements specifications timely. Design and develop test plans and test cases based on the documented requirements and acceptance criteria Perform functional, regression, integration testing and user acceptance testing Conduct both manual and automated testing Develop and execute test plans, test cases, and test scenarios to ensure software quality through functional, regression, and user acceptance testing. Facilitate and support UAT sessions and provide guidance during UAT Create and maintain test documentation Collaborate with development team for bug resolution Comply with all government security standards, best practices and standards Develop comprehensive test strategy, scope and approach aligned with objectives, testing best practices and compliance to government security policies and scope of testing includes unit testing, system integration testing, regression testing Work Experience Shall have at least a Diploma, with at least three (3) years’ experience as a Business Analyst, Scrum Master, Product Owner or equivalent in Agile projects. Shall be a Certified Scrum Product Owner or Certified Scrum Master. Shall have at least 2 years of software testing experience. Degree in Business School, Computer Science, Information Technology, and other Engineering discipline will be an added advantage. Experience in Government projects will be an added advantage Technical Skillset Knowledge and experience in Salesforce Certification in Salesforce Business Analyst or Salesforce Administrator will be an added advantage Knowledge and experience in AWS, APEX coding and DevOps will be an advantage General Skillset Strong analytical, conceptualisation and problem-solving skills will be an added advantage Translate business requirements into user journeys and technical requirements. Ability to continuously learn and adapt to the evolving Salesforce platform and related technologies Ability to collaborate effectively with product team Experience in applying Design Thinking principles from ideation to the completion of the project will be an advantage Experience in developing prototypes using visual mock-ups and wireframe Experience in defining the user interface and user experience of the product will be an added advantage Experience in change management skills to facilitate the users to product adoption and new ways of working will be an added advantage Strong verbal and written communication skills in stakeholders’ engagement will be an added advantage AvePoint is proud to employ talent from many different backgrounds, experiences, and identities. We believe that diversity and inclusion drives our success and is at the core of how we hire, communicate, and collaborate to deliver value and excellence. We are committed to fostering an environment where people can bring their whole selves to work and feel a sense of belonging, and we continue to work toward creating a workforce that represents the diversity of our customers and communities. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice . Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .

About AvePoint: Securing the Future. AvePoint is a global leader in data management and data governance, and over 21,000 customers worldwide rely on our solutions to modernize the digital workplace across Microsoft, Google, Salesforce and other collaboration environments. AvePoint’s global channel partner program includes over 3,500 managed service providers, value added resellers and systems integrators, with our solutions available in more than 100 cloud marketplaces. To learn more, visit www.avepoint.com . At AvePoint, we are committed to investing in our people. Agility, passion and teamwork set us up to do our best work and foster a culture where you are empowered to craft your career, make an impact, and own (y)our future. Unleash the power of you! About the role: As a Cloud Developer , you will create, maintain, and support shared application code libraries and common services managed by the Application and Architecture Engineering Team. You will resolve technical challenges faced by application teams through Proof of Concept, AWS Technical Support, or the internal Cloud Infrastructure team. You will collaborate with the application team, cloud team, and vendors for application migration or implementation in AWS Government Commercial Cloud (GCC). Key responsibilities: Support the creation, maintenance and execution of Terraform Infrastructure as Code for applications. Implementation and configuration of Cloud Services. Solution the design and develop the software using Agile methodology. Perform investigation, troubleshoot issues by developing scripts, SQL queries. Work closely and collaborate with the Business Analysts and Quality Engineers/application testers for user stories elaboration, test automation, bug fixes etc. Work with deployment team/DevOps team on setting up continuous integration, build and release automation. Provide estimates for stories during sprint planning for Agile project. Convert acceptance criteria into automated unit tests cases. Support production issues and duty rotation for after-office-hours support Champion Agile technical practices such as test-driven development, pair programming and refactoring Involve in application deployment to the various environments. The ideal candidate has: Relevant software development certifications, e.g. AWS Certified Developer or equivalent. Certified Software Testing Professional and/or Certified Software Quality Analyst or an equivalent certification will be an added advantage. Good understanding and completion of projects using Agile methodology. Demonstrable skills in Java, Dot Net, Javascript, Typescript, Python or Cloud development. Demonstrate knowledge of automated software testing methodologies such as unit testing, integration testing, functional testing, test driven development (TDD) and behaviour driven development (BDD). Familiar with application tracing or observability tools such as OpenTelemetry Demonstrate knowledge of creating packaging / build scripts with Maven, Docker etc. Ability to troubleshoot complex issues ranging from system resource to application stack traces. Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage. About AvePoint Check out our careers blog for content on our people, culture, and workplace! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .

Beyond Secure. AvePoint is the global leader in data security, governance, and resilience, going beyond traditional solutions to ensure a robust data foundation and enable organizations everywhere to collaborate with confidence. Over 25,000 customers worldwide rely on the AvePoint Confidence Platform to prepare, secure, and optimize their critical data across Microsoft, Google, Salesforce, and other collaboration environments. AvePoint’s global channel partner program includes approximately 5,000 managed service providers, value-added resellers, and systems integrators, with our solutions available in more than 100 cloud marketplaces. To learn more, visit www.avepoint.com . Cloud Infra/DevOps Engineer Overview This position offers you the opportunity to work with public agency IT teams of Singapore to support their IT digitization strategy and roadmap. If you are driven by challenges and passionate about working with cutting-edge IT technology, come chat with us to see if this role is a good fit for your career aspirations. What will you be doing? You will be working within an agency as part of its IT project team, which includes the Product/Project Manager, Solution Architect, and, where applicable, a Technical Services Consultant. Together, you will deliver ICT capabilities to support Singapore’s vision of a Smart Nation. We look for people who value agility, passion, and teamwork; those who can bring fresh ideas to the table and want the opportunity to learn, grow, and expand their careers. Bring your aptitude and build upon what you do best for our customers, partners, team, and you. Experience & Skills Required Experience: 3-5 years Key Responsibilities: Design and implement DevSecOps infrastructure for secure, scalable government cloud platforms. Develop and maintain CI/CD pipelines using GitLab, Azure DevOps, Terraform, and Atlassian suite. Automate deployment of backend systems and data pipelines. Implement monitoring and alerting (Prometheus, Grafana), maintain infrastructure (VMWare, Kubernetes, AWS, Azure). Enforce best practices for infrastructure-as-code (IaC) security and system resiliency. Experience in setting up, maintaining, and monitoring Azure services such as Virtual Machine, Manage Disk, Azure SQL, Load Balancer, Application Gateway, etc. Experience implementing and maintaining secure and robust environments. Experience with SQL Server/Oracle. Knowledge of network technologies including VPC, Subnet, Security Group for AWS and Vnet, NSG, ASG for Azure. Proficiency in Kubernetes commands and operations, with preference for Docker Image knowledge. Preferred if obtained the AWS Certified Solutions Architect – Professional certification or Microsoft Certified Solutions Architect – Expert certification. Advocate for engineering excellence, contribute to product reliability and mentor others. Education: Bachelor's degree or above Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .

Beyond Secure. AvePoint is the global leader in data security, governance, and resilience, going beyond traditional solutions to ensure a robust data foundation and enable organizations everywhere to collaborate with confidence. Over 25,000 customers worldwide rely on the AvePoint Confidence Platform to prepare, secure, and optimize their critical data across Microsoft, Google, Salesforce, and other collaboration environments. AvePoint’s global channel partner program includes approximately 5,000 managed service providers, value-added resellers, and systems integrators, with our solutions available in more than 100 cloud marketplaces. To learn more, visit www.avepoint.com . Cloud Infra/DevOps Engineer Overview This position offers you the opportunity to work with public agency IT teams of Singapore to support their IT digitization strategy and roadmap. If you are driven by challenges and passionate about working with cutting-edge IT technology, come chat with us to see if this role is a good fit for your career aspirations. What will you be doing? You will be working within an agency as part of its IT project team, which includes the Product/Project Manager, Solution Architect, and, where applicable, a Technical Services Consultant. Together, you will deliver ICT capabilities to support Singapore’s vision of a Smart Nation. We look for people who value agility, passion, and teamwork; those who can bring fresh ideas to the table and want the opportunity to learn, grow, and expand their careers. Bring your aptitude and build upon what you do best for our customers, partners, team, and you. Experience & Skills Required Experience: 3-5 years Key Responsibilities: Design and implement DevSecOps infrastructure for secure, scalable government cloud platforms. Develop and maintain CI/CD pipelines using GitLab, Azure DevOps, Terraform, and Atlassian suite. Automate deployment of backend systems and data pipelines. Implement monitoring and alerting (Prometheus, Grafana), maintain infrastructure (VMWare, Kubernetes, AWS, Azure). Enforce best practices for infrastructure-as-code (IaC) security and system resiliency. Experience in setting up, maintaining, and monitoring Azure services such as Virtual Machine, Manage Disk, Azure SQL, Load Balancer, Application Gateway, etc. Experience implementing and maintaining secure and robust environments. Experience with SQL Server/Oracle. Knowledge of network technologies including VPC, Subnet, Security Group for AWS and Vnet, NSG, ASG for Azure. Proficiency in Kubernetes commands and operations, with preference for Docker Image knowledge. Preferred if obtained the AWS Certified Solutions Architect – Professional certification or Microsoft Certified Solutions Architect – Expert certification. Advocate for engineering excellence, contribute to product reliability and mentor others. Education: Bachelor's degree or above. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .

Securing the Future with AvePoint AvePoint is a global leader in data management and governance, trusted by over 21,000 customers worldwide to enhance their digital workplaces across Microsoft, Google, Salesforce, and other collaboration platforms. Our global channel partner program includes more than 3,500 managed service providers, value-added resellers, and systems integrators, with our solutions featured in over 100 cloud marketplaces. To learn more, visit www.avepoint.com . At AvePoint, we are dedicated to investing in our people. Our culture, driven by agility, passion, and teamwork, empowers you to shape your career, make a significant impact, and take ownership of your future. Discover how you can unleash your potential with us! Overview We are seeking bright and friendly individuals with excellent communication skills, willingness to learn and apply new technology and a track record for providing great customer service. You will have opportunities to work in a variety of challenging IT environments to quickly build up your IT and communication skills. What will you be doing? As a Cloud Infrastructure Engineer, you should know about either AWS or Azure. Your job is to do onsite implementation for different AWS/Azure services based on the system infrastructure design, trouble shoot the infrastructure issues and resolve them together with vendor and customer. Your responsibilities will include : Designing the system infrastructure architecture by using AWS/Azure native services. Implementing the infrastructure into cloud environments using AWS/Azure Tracking and monitoring the status for provisioning of each AWS/Azure Trouble shooting and resolving the infrastructure issues during the implementation and maintenance. OK, I’m interested… is this the job for me? We look for people who value agility, passion, and teamwork; those who can bring fresh ideas to the table and want the opportunity to learn, grow, and expand their careers. Bring your aptitude and build upon what you do best for our customers, partners, team, and you. Other qualities you will need to be a fit for this role include : Mandatory 2+ years ’ experience using Amazon Web Services (AWS) or Microsoft Azure and its various components. Experience in setting up, maintaining, and monitoring AWS services such as EC2, RDS, Lambda, API Gateway, S3, Cloud Watch, ALB, etc. Experience in setting up, maintaining, and monitoring Azure services such as Virtual Machine, Manage Disk, Azure SQL, Load Balancer, Application Gateway, etc. Knowledge of network technologies including VPC, Subnet, Security Group for AWS and VNet, NSG, ASG for Azure. Strong experience with SQL Server/Oracle. Experience implementing and maintaining secure, robust, and High Availability (HA) environments. Experience with Infrastructure as a Code (IaC) using Terraform to provision and manage services across AWS or Azure. Experience in system hardening by following CIS Benchmarks for operating systems, containers, and cloud infrastructure. Experience with Continuous Integration and Continuous Delivery solutions. Proficiency in Kubernetes commands and operations, with preference for Docker Image knowledge. Good trouble shooting and organizational skills. Preferred if obtained the AWS Certified Solutions Architect – Professional certification or Microsoft Certified Solutions Architect – Expert certification. Preferred if have full lifecycle experience in cloud infrastructure, with a proven ability to drive projects from design and implementation through to long-term maintenance and optimization. Preferred if have experience with working on Government on Commercial Cloud (GCC). Education: Bachelor's degree or above. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .

We are seeking a skilled and passionate Security Engineer to join our team. In this role, you will be responsible for ensuring the security, compliance, and resilience of our infrastructure and applications. You will work closely with cross-functional teams to monitor, respond to, and remediate security incidents across our cloud-native ecosystem. Responsibilities: Security Monitoring & Incident Response • Oversee and respond to alerts from AWS GuardDuty, ensuring timely investigation and remediation of incidents. • Execute security playbooks to handle alerts, and enhance them based on evolving threats and operational insights. Vulnerability & Patch Management • Coordinate the identification and application of security patches across GitLab, AWS, and Kubernetes components. • Ensure that our infrastructure remains resilient to new vulnerabilities through regular patch cycles and proactive risk assessments. Log Analysis & SIEM Management • Conduct weekly SIEM reviews to analyze security logs, detect anomalies, and escalate issues as necessary. • Collaborate with the SecOps team to refine monitoring strategies and alerting thresholds. Reporting & Documentation • Prepare monthly SecOps reports summarizing incident trends, response actions, and areas for improvement. • Maintain and update documentation related to security processes, incident response, and playbooks. Collaboration & Continuous Improvement • Work closely with development, operations, and other security teams to integrate security best practices into CI/CD pipelines and cloud deployments. • Proactively contribute to security strategy discussions, sharing insights and recommendations for enhanced security posture. Requirements: • Proven experience managing cloud security, particularly within AWS environments (including GuardDuty, IAM, and other AWS security services). • Solid background in securing Kubernetes clusters (preferably on EKS) including experience with container security best practices. • Experience with SIEM tools and log analysis for threat detection. • Proficiency in applying security patches and vulnerability management across cloud and containerized environments. • Familiarity with CI/CD pipelines (GitLab or equivalent) and integrating security into DevOps practices. • Hands-on experience with incident response, including following and refining security playbooks. • Working knowledge of networking, encryption, and other fundamental security concepts. • Security certifications for AWS (such as AWS Certified Security – Specialty) and Kubernetes (such as Certified Kubernetes Security Specialist or equivalent) are highly desirable. Soft skills: • Excellent problem-solving and analytical abilities with a keen attention to detail. • Strong communication skills to clearly articulate security issues and collaborate across teams. • Proactive mindset with the ability to work independently and in a fast-paced environment. • Adaptability and willingness to continuously learn and apply new security practices. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .

ROLE OVERVIEW We are looking for a seasoned Data Architect with deep expertise in enterprise data warehousing, ETL/ELT pipeline development, and business intelligence. You will be responsible for the end-to-end design and implementation of our data architecture — from data ingestion and cleansing to dimensional modeling, warehouse construction, and BI dashboard delivery. You will also establish robust data governance frameworks including data catalogs, lineage tracking, and security audit systems. This role requires strong hands-on capability combined with architectural vision, and prior experience in complex industries such as finance, international trade, or manufacturing is highly valued. KEY RESPONSIBILITIES Data Acquisition, Cleansing & Integration Design and implement enterprise-wide data collection strategies across heterogeneous source systems (ETRM, ERP, CRM, external APIs, flat files, and databases). Develop robust data cleansing and standardization pipelines to ensure data accuracy, consistency, and completeness across all data sources. Build data integration frameworks to consolidate data from disparate systems into a unified enterprise data warehouse, handling schema evolution and data drift. Implement Change Data Capture (CDC) mechanisms and incremental data loading strategies to ensure near real-time data freshness. Data Warehouse Architecture & Modeling Lead the design and construction of the enterprise data warehouse (EDW) using industry-proven methodologies (Inmon, Kimball, or Data Vault). Apply dimensional modeling expertise to design star schemas, snowflake schemas, and constellation models optimized for analytical query performance. architect data marts for specific business domains (finance, sales, supply chain, operations) with clear separation of concerns. Select and implement appropriate data warehouse technologies based on workload characteristics: batch analytics (Hive, Spark SQL), real-time analytics (ClickHouse, Apache Doris, StarRocks), or MPP databases (Greenplum, Vertica). Design layered data architectures (ODS → DWD → DWS → ADS / Bronze → Silver → Gold) with clear data flow and transformation logic at each layer. ETL/ELT Pipeline Development Design, build, and maintain scalable ETL/ELT pipelines using Apache Spark, Flink, Hive, MapReduce, or proprietary ETL tools (Informatica, Talend, Kettle). Implement workflow orchestration using Apache Airflow, DolphinScheduler, Azkaban, or Oozie to schedule, monitor, and manage data pipelines. Establish data quality frameworks: automated validation rules, anomaly detection, data profiling, and quality scorecards to ensure pipeline reliability and data trustworthiness. Build comprehensive monitoring and alerting systems for pipeline health, data freshness, and SLA compliance. Optimize pipeline performance through partitioning, bucketing, indexing, and query tuning strategies. Business Intelligence & Reporting Develop enterprise BI reporting systems and interactive dashboards using tools such as Apache Superset, FineBI, Tableau, Power BI, or Quick BI. Design executive dashboards, operational reports, and self-service analytics interfaces tailored to business stakeholders across finance, trading, operations, and management. Implement metrics frameworks (KPIs, OKRs) and ensure data definitions are standardized, documented, and consistently applied across all reports. Work directly with business units to understand analytical requirements and translate them into effective data models and visualizations. Data Governance & Standards Design and implement enterprise data governance frameworks from the ground up, including data ownership policies, stewardship roles, and governance workflows. Build a centralized data catalog (using Apache Atlas, DataHub, Amundsen, or similar) documenting all data assets, business glossaries, and metadata. Implement data lineage analysis systems to track data flow from source to consumption, enabling impact analysis and root cause diagnosis. Establish data security and audit frameworks: access control (RBAC/ABAC), data masking, encryption policies, sensitive data discovery, and compliance audit trails. Define and enforce data standards: naming conventions, data dictionaries, master data management (MDM) rules, and data quality SLAs. Ensure regulatory compliance with data protection laws (GDPR, PIPL, industry-specific regulations) through governance controls and documentation. REQUIRED QUALIFICATIONS Bachelor's degree or above in Computer Science, Statistics, Mathematics, Information Systems, or related technical field. 3+ years of professional experience in data development, data engineering, or data architecture roles, with a proven track record of building production data warehouse systems. Expert-level proficiency in SQL (complex queries, window functions, CTEs, query optimization) and Python for data processing and pipeline development. Mastery of data warehouse modeling theories and methodologies: dimensional modeling (Kimball), normalized modeling (Inmon), and Data Vault 2.0. Demonstrated experience designing star schemas, snowflake schemas, and aggregate tables for complex business domains. Deep domain experience in at least one complex industry: financial services (banking, securities, insurance), international trade (import/export, supply chain, logistics), or manufacturing (production planning, quality control, industrial IoT). Understanding of industry-specific data entities, business processes, and analytical requirements. Strong hands-on experience with ETL/ELT tools and frameworks: Apache Spark (batch and streaming), Apache Flink, Hive, MapReduce, Sqoop, DataX, SeaTunnel, or commercial ETL platforms (Informatica PowerCenter, Talend, IBM DataStage). Proficiency in workflow orchestration: Apache Airflow, DolphinScheduler, Azkaban, Oozie, or equivalent scheduling and monitoring platforms. Production experience with at least one major data warehouse/analytics database: ClickHouse, Apache Doris, StarRocks, Hive, Greenplum, Vertica, Teradata, or Snowflake. Strong hands-on experience with BI and visualization tools: Apache Superset, FineBI, Tableau, Power BI, Quick BI, or similar enterprise BI platforms. Deep expertise in Data Governance with demonstrated ability to build governance systems from scratch: data catalog implementation, metadata management, automated lineage tracking (using OpenLineage, Marquez, or similar), data quality monitoring, and security audit frameworks. Solid understanding of relational and analytical databases: PostgreSQL, MySQL, Oracle, SQL Server, Greenplum — including performance tuning, indexing strategies, and query optimization. Experience with big data ecosystem components: HDFS, YARN, ZooKeeper, Kafka, and Hadoop distributions (CDH, HDP, Apache). PREFERRED QUALIFICATIONS Experience with master data management (MDM) platforms and methodologies. Familiarity with data mesh or data fabric architectural patterns for large-scale decentralized data environments. Experience with data versioning and time-travel capabilities in modern data warehouses. Domain knowledge on Energy Trading, Market Risk Management. Professional certifications: CDMP (Certified Data Management Professional), DAMA-DMBOK, or vendor-specific data platform certifications. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .

We are looking for a highly skilled AI Engineer specializing in Large Language Models (LLMs) and Agentic AI. You will architect, build, and deploy production-grade LLM applications — from intelligent knowledge bases and RAG systems to autonomous multi-agent workflows. You will work hands-on with open-source Chinese and international LLMs (DeepSeek, Qwen, Kimi, etc), implementing everything from model deployment and inference optimization to prompt engineering and agent orchestration. This is a builder role for someone who thrives at the intersection of research and engineering. KEY RESPONSIBILITIES LLM Application Development Design and develop enterprise LLM-powered applications: intelligent Q&A systems, enterprise knowledge base assistants, AI copilots, document analysis tools, and automated customer service agents. Architect and implement end-to-end RAG (Retrieval-Augmented Generation) systems: document parsing and chunking (recursive, semantic, agentic), embedding generation (BGE, M3E, GTE), vector retrieval (dense + sparse hybrid search), reranking (bge-reranker, Cohere Rerank), and response synthesis with source attribution. Develop and optimize Prompt Engineering strategies: chain-of-thought, tree-of-thought, few-shot prompting, structured output parsing (JSON mode / Pydantic), prompt templates (LangChain/LangSmith), and prompt version management. Knowledge in harness engineering, context management in ensuring LLM interactions and or AI agents reliable and deterministic. AI Agent & Multi-Agent Systems Design and build AI Agent systems using ReAct, Plan-and-Execute, Reflection, and multi-agent collaboration patterns. Implement Function Calling and tool-use capabilities, enabling agents to interact with external APIs, databases, and enterprise systems. Develop multi-agent orchestration using LangGraph, AutoGen, CrewAI, and other agent frameworks to solve complex enterprise tasks through agent collaboration. Design MCP (Model Context Protocol) integrations for standardized LLM tool interoperability. Open-Source LLM Deployment & Optimization Deploy and optimize latest version of open-source Chinese LLMs: DeepSeek, Qwen, and Kimi for on-premise and private cloud environments. Implement model inference optimization: quantization (GGUF/llama.cpp, GPTQ, AWQ, AutoAWQ, FP8/INT8), KV Cache optimization, continuous batching (vLLM, TensorRT-LLM, TGI, SGLang), speculative decoding, and tensor parallelism for high-throughput serving. Build and maintain model serving infrastructure using vLLM, TensorRT-LLM, Text Generation Inference (TGI), Ollama, Xinference, and SGLang; configure GPU resource scheduling with Kubernetes + GPU operators. AI gateway tools for routing, model tracking and load balancing such as TrueFoundry, Kubeflow, LiteLLM or Ray for heavy deep learning. Model Fine-Tuning & Customization Implement efficient fine-tuning pipelines using LoRA, QLoRA, DoRA, and full-parameter fine-tuning on proprietary domain-specific datasets. Prepare and curate instruction-following datasets, RLHF/RLAIF datasets, and evaluation benchmarks for domain adaptation. Evaluate fine-tuned models using automated benchmarks and LLM-as-a-Judge methodologies. Evaluation & Production Operations Build and maintain LLM evaluation frameworks: LLM-as-a-Judge, RAGAS, DeepEval, ARES, and custom task-specific metrics for continuous quality monitoring. Implement production monitoring for LLM systems: output quality tracking, latency/throughput metrics, cost monitoring, drift detection, and guardrail compliance. Design A/B testing frameworks for model comparison and prompt iteration. Implement LLM security guardrails: input/output filtering, PII detection, prompt injection defense, content moderation, and safety alignment. Research & Technical Leadership Track frontier AI research and evaluate emerging technologies (new model architectures, training techniques, inference methods) for enterprise adoption. Contribute to internal knowledge sharing: tech talks, documentation, and best-practice guides on LLM development. REQUIRED QUALIFICATIONS Bachelor's degree or above in Computer Science, Artificial Intelligence, Machine Learning, or related technical field. Master's or PhD in AI/ML preferred. 2+ years of professional experience in AI/ML engineering with demonstrated production deployment of LLM-based systems at scale. Deep understanding of Transformer architecture, attention mechanisms (MHA, GQA, MQA), and LLM pre-training / fine-tuning / inference paradigms. Expert proficiency in LLM application frameworks: LangChain, LlamaIndex, Haystack, or equivalent production-grade tools. Hands-on experience with RAG system development: vector databases (Milvus, ChromaDB, Qdrant, Weaviate, Pinecone, pgvector), embedding models (BGE, M3E, GTE, OpenAI, Cohere), reranking (bge-reranker, Cohere Rerank, cross-encoders), and advanced retrieval techniques (hybrid search, query expansion, HyDE). Practical experience deploying and tuning open-source Chinese LLMs: DeepSeek, Qwen, Kimi , or international models (Llama 3.x, Mistral, Mixtral, Gemma, Phi). Strong experience with model deployment and serving infrastructure: vLLM, TensorRT-LLM, TGI, Ollama, Xinference, SGLang; GPU resource scheduling (Kubernetes + GPU operators). Proficiency in model quantization and inference optimization: GGUF (llama.cpp), GPTQ, AWQ, AutoAWQ, FP8/INT8; knowledge of KV Cache optimization and memory-efficient attention (FlashAttention, FlashInfer, PageAttention). Solid programming skills in Python; experience with PyTorch, TensorFlow, or JAX; familiarity with FastAPI/Flask for building LLM API services. Experience with LLM evaluation methodologies, A/B testing frameworks, and production monitoring of AI systems. PREFERRED QUALIFICATIONS Experience with agent frameworks: LangGraph, AutoGen, CrewAI, OpenAI Assistants API, and multi-agent orchestration patterns. Familiarity with MCP (Model Context Protocol), OpenAI API specification, and multi-modal LLM capabilities (vision, audio). Experience with prompt optimization tools: DSPy, PromptLayer, LangSmith for systematic prompt engineering. Knowledge of model distillation and efficient transfer learning from large teacher models to smaller student models. Contributions to open-source AI projects or publications in NLP/LLM research venues. Experience with cloud GPU providers and cost optimization for LLM inference at scale. Access to high-performance GPU computing resources for model development and experimentation. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .