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If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.</p>\n<p>We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist.</p>\n<p>As a Senior Consultant Specialist, you will be responsible for designing and building core AI components of the Document Intelligent/agentic workflow to support the enterprise AI use cases. This includes working independently on the enterprise Document Intelligence AI Platform, covering complex document parsing, layout restoration, key information extraction, semantic reasoning, and LLM-based document automation.</p>\n<p>You will also deeply understand real-world pain points of financial and enterprise complex document processing, and design scalable, production-grade AI solutions for various document scenarios. Additionally, you will lead the design, optimization, and industrialization of LLM workflow and agentic workflow orchestration, including task decomposition, multi-step reasoning, tool calling, and automated business process arrangement.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and build core AI components of the Document Intelligent/agentic workflow to support the enterprise AI use cases.</li>\n<li>Work independently on the enterprise Document Intelligence AI Platform, covering complex document parsing, layout restoration, key information extraction, semantic reasoning, and LLM-based document automation.</li>\n<li>Deeply understand real-world pain points of financial and enterprise complex document processing, and design scalable, production-grade AI solutions for various document scenarios.</li>\n<li>Lead the design, optimization, and industrialization of LLM workflow and agentic workflow orchestration, including task decomposition, multi-step reasoning, tool calling, and automated business process arrangement.</li>\n<li>Drive end-to-end implementation of advanced Prompt Engineering, Few-shot/CoT prompting, RAG knowledge base system, and multi-agent collaboration mechanisms.</li>\n<li>Conduct AI web service coding, API integration, and system docking; build low-code AI application delivery capabilities for rapid business iteration.</li>\n<li>Establish complete AI Harness Engineering system, including model evaluation criteria, version management, gray release, performance tuning, cost control, and online stability governance.</li>\n<li>Continuously explore innovative AI technologies, complete POC verification, and iterate platform capabilities with long-term scalability and reusability as the core goal.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s degree or higher in Mathematics, Computer Science, or a related field, with 5+ years of Python proficiency and solid experience in backend development, component encapsulation, and platform-level module design.</li>\n<li>In-depth understanding of mainstream commercial and open-source LLMs, clear cognition of model capabilities, limitations, hallucination risks, and production environment constraints.</li>\n<li>Rich practical experience in Prompt Engineering, structured prompting, agent/skills buildup and knowledge base construction.</li>\n<li>Solid research and practical experience in LLM workflow design and agentic workflow orchestration, capable of designing automated, executable AI task pipelines for complex business logic.</li>\n<li>Familiar with AI vibe coding and service development, able to independently complete AI service deployment and system integration.</li>\n<li>Mature AI harness engineering capabilities, able to build standardized evaluation, iteration, and release mechanisms for AI platform products.</li>\n</ul>\n<p>You’ll achieve more when you join HSBC. HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment.</p>","enriched_at":1780661339398},{"id":"job_f6bfddfe-74c","title":"Senior Software Engineer (AI Guardrail)","source_url":"https://portal.careers.hsbc.com/careers/job/563774611335921","location":"Guangzhou","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>We are seeking an experienced Senior Software Engineer to join our team in the role of AI Guardrail. As a key member of our technology department, you will be responsible for building and maintaining runtime/data plane services for synchronous and asynchronous guardrail execution.</p>\n<p>Key responsibilities:</p>\n<ul>\n<li>Build and maintain runtime/data plane services for synchronous and asynchronous guardrail execution, including retries/timeouts/cancellation, backpressure, rate limiting, and overload protection.</li>\n<li>Develop control plane capabilities for policy/detector configuration, versioning, rollout/rollback, and tenant onboarding, exposed via internal platform APIs (REST and/or gRPC).</li>\n<li>Implement and integrate detectors: rule-based checks, LLM-based detection (e.g., LLM-as-judge), and third-party detection APIs, using consistent interfaces and configuration-driven orchestration.</li>\n<li>Deliver streaming/event-driven processing for guardrail workflows using WebSocket/SSE/gRPC streaming and/or messaging systems (e.g., Kafka/PubSub).</li>\n<li>Instrument end-to-end observability (metrics/logs/traces) and contribute to dashboards/alerts for latency, throughput, queue health, detector performance, and policy enforcement outcomes (e.g., OpenTelemetry/OpenInference).</li>\n<li>Troubleshoot and optimise production performance and reliability: profiling, bottleneck analysis, incident triage, root-cause analysis, and continuous hardening aligned to SLOs.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>3+ years of professional experience building and operating distributed, cloud-native backend systems.</li>\n<li>Strong hands-on skills in Python (asyncio/FastAPI) and/or Go/Java, with a solid understanding of non-blocking I/O and concurrency.</li>\n<li>Proficient with containerization (Docker, Kubernetes) and CI/CD practices on at least one major cloud platform (GCP, AWS, Azure), with a strong mindset for reliability and security.</li>\n<li>Practical experience with modern architectural patterns, including control plane/data plane designs, streaming/event-driven systems (e.g., Kafka, gRPC), and hands-on experience with observability and distributed tracing (e.g., OpenTelemetry).</li>\n<li>Experience with detector engineering, including at least two of the following: LLM-based classification, third-party detection API integration, rule engines, or lightweight ML model integration.</li>\n<li>Solid experience with both relational (e.g., PostgreSQL) and NoSQL databases, plus experience with data modeling and query optimization in OLAP databases like BigQuery.</li>\n<li>Demonstrates strong end-to-end ownership and an &#39;AI-native&#39; approach, leveraging AI tools (e.g., coding assistants) to drive execution, improve productivity, and enhance code quality.</li>\n</ul>\n<p>You&#39;ll achieve more when you join HSBC. HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment.</p>","enriched_at":1780661323201},{"id":"job_19e32457-100","title":"Senior Consultant Specialist","source_url":"https://portal.careers.hsbc.com/careers/job/563774611335299","location":"Guangzhou","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.</p>\n<p>We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist.</p>\n<p>As a Senior Consultant Specialist, you will be responsible for building core components for Document Intelligence to enable enterprise AI use cases, delivering standardised, robust, and scalable solutions that meet growing business demand.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Developing and maintaining scalable APIs and integration services to support AI products, workflows, and platform capabilities end-to-end.</li>\n<li>Contributing to architecture and technical governance by conducting design/architecture reviews and enforcing engineering standards, coding practices, documentation, and quality assurance.</li>\n<li>Delivering hands-on engineering including API development, unit/integration testing, defect resolution, and partnering with testers on test cases and test data preparation.</li>\n<li>Communicating with stakeholders across systems (upstream/downstream) to define requirements and design effective, well-governed API interfaces.</li>\n<li>Strengthening DevOps and engineering processes to improve delivery and support efficiency while ensuring adherence to established standards.</li>\n<li>Deploying and scaling on cloud platforms by leveraging GCP and Kubernetes to manage applications effectively in enterprise environments.</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>A university degree in Computer Science or a related discipline.</li>\n<li>7+ years of IT experience (preferably in enterprise application or platform development) with 4+ years’ hands-on proficiency in Java and Python for backend and platform engineering.</li>\n<li>Exposure to all stages of the Software Development Life Cycle (SDLC) and a solid working knowledge of Agile methodology.</li>\n<li>Knowledge of Docker, Kubernetes, micro-frontend architecture, and LLM new solutions a strong advantage.</li>\n<li>Experienced in leveraging coding assistants (e.g., AI pair-programming tools) to accelerate software development, enhance code quality, and support engineering best practices.</li>\n</ul>\n<p>You’ll achieve more when you join HSBC. HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment.</p>","enriched_at":1780661305183},{"id":"job_92091653-d2a","title":"Senior Consultant Specialist (AI Solution Development)","source_url":"https://portal.careers.hsbc.com/careers/job/563774611337630","location":"Guangzhou","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>Some careers have more impact than others. If you&#39;re looking for a career where you can make a real impression, join HSBC and discover how valued you&#39;ll be.</p>\n<p>We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist (AI Solution Development).</p>\n<p>As a Senior Consultant Specialist, you will lead a small team in designing and implementing robust, scalable, and high-performance AI solutions to solve actual business challenges from business stakeholders. You will also guide engineers/teams through complexity and raise engineering standards through day-to-day actions.</p>\n<p>In this role, you will have broad engineering exposure across different business value streams and parties, plus agile values-based delivery. You will stay current on applied Generative AI and identify and expose practical opportunities to develop common capabilities that benefit more use cases.</p>\n<p>To succeed in this role, you will need a Bachelor&#39;s degree or above in Computer Science/Engineering or a related field, with good communication in English. You will also require 5+ years&#39; hands-on coding practice, strong Python skills, and usage of cloud-native (GCP/Azure) as well as Docker, Kubernetes, and Helm.</p>\n<p>Additionally, you will need strong hands-on experience with Agent/Harness/MCP Engineering development and solid hands-on experiences at least one of the following lib langchain deep agent / langgraph / crewAI. You will also need a deep understanding of optimising agent performance in terms of stability, reliability, and latency.</p>\n<p>You will demonstrate an AI-native, creative, and innovative mindset by applying AI-driven approaches for solving business problems and improving productivity, quality, and engineering best practices.</p>\n<p>Proven team leadership experience with strong ownership and enthusiasm to help teammates grow, resilience under pressure, excellent collaboration skills, and a highly proactive, self-driven approach to delivering results are essential for this role.</p>","enriched_at":1780661294765},{"id":"job_ba37a2dd-cd4","title":"Senior Consultant Specialist","source_url":"https://portal.careers.hsbc.com/careers/job/563774611335315","location":"Guangzhou","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.</p>\n<p>We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist.</p>\n<p>As a Senior Consultant Specialist, you will be responsible for building core components for Document Intelligence to enable enterprise AI use cases, delivering standardised, robust, and scalable solutions that meet growing business demand.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Developing and maintaining scalable APIs and integration services to support AI products, workflows, and platform capabilities end-to-end.</li>\n<li>Contributing to architecture and technical governance by conducting design/architecture reviews and enforcing engineering standards, coding practices, documentation, and quality assurance.</li>\n<li>Delivering hands-on engineering including API development, unit/integration testing, defect resolution, and partnering with testers on test cases and test data preparation.</li>\n<li>Communicating with stakeholders across systems (upstream/downstream) to define requirements and design effective, well-governed API interfaces.</li>\n<li>Strengthening DevOps and engineering processes to improve delivery and support efficiency while ensuring adherence to established standards.</li>\n<li>Deploying and scaling on cloud platforms by leveraging GCP and Kubernetes to manage applications effectively in enterprise environments.</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>A university degree in Computer Science or a related discipline.</li>\n<li>7+ years of IT experience (preferably in enterprise application or platform development) with 4+ years’ hands-on proficiency in Java and Python for backend and platform engineering.</li>\n<li>Exposure to all stages of the Software Development Life Cycle (SDLC) and a solid working knowledge of Agile methodology.</li>\n<li>Knowledge of Docker, Kubernetes, micro-frontend architecture, and LLM new solutions a strong advantage.</li>\n<li>Experienced in leveraging coding assistants (e.g., AI pair-programming tools) to accelerate software development, enhance code quality, and support engineering best practices.</li>\n</ul>\n<p>You’ll achieve more when you join HSBC.</p>\n<p>HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment.</p>","enriched_at":1780661293039},{"id":"job_b16bcb1b-63c","title":"Senior Consultant Specialist (Model Hosting/Inference Optimization)","source_url":"https://portal.careers.hsbc.com/careers/job/563774611335304","location":"Guangzhou","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>We are seeking an experienced professional to join our team in the role of Senior Consultant Specialist (Model Hosting/Inference Optimization). As a key member of our AI platform team, you will collaborate closely with AI researchers, data scientists, software engineers, and product teams to deliver production-grade solutions that combine optimized inference, reliable hosting, and flexible fine-tuning capabilities for a wide range of AI models.</p>\n<p>Principal responsibilities:</p>\n<ul>\n<li>Design, build, and operate scalable, reliable model hosting platforms for LLMs, embeddings, and STT/TTS across heterogeneous hardware.</li>\n<li>Drive inference optimisation for latency, throughput, and cost (quantisation, KV-cache optimisation, dynamic/continuous batching).</li>\n<li>Evaluate, integrate, and tailor inference frameworks (e.g., vLLM, TensorRT-LLM, SGLang) to maximise performance on target hardware.</li>\n<li>Own inference health and performance monitoring: latency, throughput, TTFT, memory, availability; troubleshoot bottlenecks and deployment issues.</li>\n<li>Partner with hardware teams to apply hardware-specific optimisations and improve resource utilisation.</li>\n<li>Ensure hosting systems meet production standards for reliability, scalability, security, and high availability.</li>\n<li>Build end-to-end, scalable fine-tuning pipelines to adapt foundation models using domain datasets.</li>\n<li>Work with data scientists/domain experts to define objectives and metrics, validate results, and integrate fine-tuned models into the hosting/inference stack.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor’s/Master’s/PhD in ML/NLP/CS/Data Science/Statistics (or related).</li>\n<li>3 years on AI platforms, covering both model hosting/inference optimisation and fine-tuning pipelines; LLM experience strongly preferred.</li>\n<li>Strong engineering skills in Python and CUDA, with solid understanding of GPU/CPU architecture and HPC fundamentals.</li>\n<li>Deep inference expertise: KV-cache, batching, quantisation (INT4/FP8/GPTQ/AWQ), operator optimisation, and framework integration (vLLM, TensorRT-LLM, SGLang); hands-on hosting on Docker/Kubernetes and AWS/GCP/Azure.</li>\n<li>End-to-end fine-tuning expertise: data prep, distributed training, hyperparameter tuning, HF/Accelerate/LoRA/QLoRA; plus benchmarking/monitoring/troubleshooting, AI-native mindset, and effective use of coding assistants.</li>\n</ul>\n<p>You’ll achieve more when you join HSBC. HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment.</p>","enriched_at":1780661284437},{"id":"job_60c391c9-f2d","title":"Lead Architect","source_url":"https://portal.careers.hsbc.com/careers/job/563774611337599","location":"Guangzhou","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.</p>\n<p>We are currently seeking an experienced professional to join our team in the role of Lead Architect.</p>\n<p><strong>Business:</strong></p>\n<p>Support a team of Data Architects in designing and implementing data architecture solutions that align with business objectives, technology strategy, and industry best practices.</p>\n<p>Help define and communicate the strategic vision for data architecture, considering data governance, data integration, data modelling, and data management. Ensure that the design approaches align with this vision.</p>\n<p>Collaborate with cross-functional teams to understand data requirements, translate them into actionable data architecture designs, and influence the development of data solutions.</p>\n<p>Ensure data integrity and security by establishing data governance frameworks, data quality standards, and data protection measures.</p>\n<p>Drive the adoption of data best practices, data standards, and data management processes across the team.</p>\n<p>Provide guidance and mentorship to the team, fostering a culture of collaboration, innovation, and continuous improvement.</p>\n<p>Stay up to date with emerging data technologies, trends, and industry developments. Evaluate and recommend new tools and methodologies to enhance data architecture capabilities.</p>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Leadership: You possess strong leadership skills, enabling you to support and inspire a team of Data Architects. You can effectively communicate the strategic vision and guide the team towards achieving data architecture excellence.</li>\n</ul>\n<ul>\n<li>Data Architecture Expertise: You have a deep understanding of data architecture principles, data modelling, data integration, and data management. You can design scalable and efficient data solutions that meet business requirements.</li>\n</ul>\n<ul>\n<li>Communication with Impact: Your communication skills are strong, allowing you to effectively convey complex data architecture concepts to both technical and non-technical stakeholders. You can influence and align stakeholders towards the defined data architecture strategies.</li>\n</ul>\n<ul>\n<li>Consulting: You demonstrate strong consulting skills, leveraging your expertise to provide valuable insights and guidance to cross-functional teams. You can identify opportunities for improvement and drive data architecture excellence.</li>\n</ul>\n<ul>\n<li>Relationship/Stakeholder Management: You excel in managing relationships and stakeholders at various levels, establishing trust and collaboration to drive successful outcomes. You can effectively navigate and influence within a complex organisational structure.</li>\n</ul>\n<ul>\n<li>Problem Solving: Your problem-solving skills are expert level, enabling you to analyse complex data challenges and develop innovative solutions. You can guide the team in overcoming technical obstacles and making informed decisions.</li>\n</ul>\n<ul>\n<li>Data Governance: You have a strong understanding of data governance principles and can establish and enforce data governance frameworks, data quality standards, and data protection measures.</li>\n</ul>\n<ul>\n<li>Data Modeling: Expertise in conceptual, logical, and physical data modeling. Familiarity with tools like ERwin, Visual Paradigm, PowerDesigner, or Sparx Enterprise Architect.</li>\n</ul>\n<ul>\n<li>Data Warehousing &amp; ETL: Knowledge of data warehouse design. Experience with ETL tools (Informatica, Talend, SSIS) and data integration. Familiarity with Hadoop ecosystem, Spark, Kafka, and cloud data platforms (AWS, Azure, GCP).</li>\n</ul>\n<p>You’ll achieve more when you join HSBC. HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment.</p>","enriched_at":1780661283892},{"id":"job_b827bee2-c49","title":"Associate Director, Data and Analytics Specialist","source_url":"https://portal.careers.hsbc.com/careers/job/563774611303627","location":"Guangzhou","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"IT","description":"<p>Discover how valued you&#39;ll be at HSBC. We are currently seeking an experienced professional to join our team in the role of Associate Director, Data and Analytics Specialist. The successful candidate will be expected to perform the following duties with a high level of competence:</p>\n<p>Develop and communicate a clear technology delivery strategy aligned with business objectives. Collaborate with senior leadership to define technology roadmaps and prioritise initiatives. Drive innovation, process improvements, and best practices within the technology delivery function. Ensure projects are delivered on time, within scope, and within budget. Mitigate risks, resolve issues, and manage project dependencies. Responsible for delivering in line with global patterns and strategies where appropriate and to align business requirements to technology solutions, aligning to architecture direction and roadmap Provide consistent end-to-end solution designs which will deliver expected Business Outcomes, satisfy all relevant regulatory requirements and mitigate identified operational risks Provides architectural management across a portfolio of change Provide clear guidance and direction to Technical leads that affect a journey or prioritisation in QBR sessions Works across Value Stream and Sub-Value Streams (SVS) to identify and manage dependencies where they enter and exit VS and SVS Minimise / avoid technology debts &amp; ensure clear communication to SVS leadership and pods alike; escalate as required via VS lead architect Clearly document all risks, issues, dependencies and communicate effectively and document via agreed Architecture Operating Model</p>\n<p>To be successful in this role you should have: Proven experience in designing and managing ETL solutions, including data modelling, data warehousing, SQL development, and business intelligence. Knowledge of cloud providers (AWS and GCP preferred), what technologies they provide, and the use cases they serve. Ability to understand business issues and devise solutions that deliver results, constructing innovative approaches where required Strong leadership skills, team-builder, and influencer Experience architecting in an DevOps and agile environments Gravitas and ability to interact with and advise senior executives. Mentor and coach less experienced members of staff and promote an understanding of the value of data architecture and of use of technologies and standards in their domain across IT. Build strong relationships with engineering and operations teams aligned to the relevant area, particularly the designers within these teams. Design for resilience e.g. catering for tiered service levels and operational or regulatory imperatives or KPIs Applying architectural risk management techniques and decision-making principles (in an agile control environment) Design solutions that balance flexibility and affordability but without compromising architectural integrity Ensure preparedness for effective regulatory, audit &amp; security controls purposes</p>\n<p>You&#39;ll achieve more when you join HSBC. HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment.</p>","enriched_at":1780617953682},{"id":"job_dcff4455-374","title":"Consultant Specialist","source_url":"https://portal.careers.hsbc.com/careers/job/563774611303521","location":"Guangzhou","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>We are seeking an experienced professional to join our team in the role of Consultant Specialist. As a Consultant Specialist, you will play a key role in designing and building data processing systems, collaborating with cross-functional teams to understand data requirements and implementing efficient data pipelines using GCP services such as BigQuery, Dataflow, and Pub/Sub.</p>\n<p>Your primary responsibilities will include:</p>\n<p>Designing and building data processing systems to meet business requirements Collaborating with cross-functional teams to understand data requirements and implement efficient data pipelines Implementing data ingestion, transformation, and enrichment processes using GCP services Ensuring scalability, reliability, and performance of data processing workflows Collecting and ingesting data from various sources into GCP Cleaningse, validating, and transforming raw data to ensure its quality and consistency Optimizing data processing for speed and efficiency Choosing appropriate storage solutions based on data characteristics and access patterns Creating and managing data warehouses, databases, and data lakes Defining data retention policies and archival strategies Preparing data for downstream analytics, reporting, and machine learning Collaborating with data scientists and analysts to understand their requirements Ensuring data is accessible, well-organized, and properly documented Automating data workflows using tools like Apache Airflow or Cloud Composer Monitoring data pipelines, troubleshooting issues, and proactively addressing bottlenecks Implementing alerting mechanisms for data anomalies Applying security best practices to protect sensitive data Ensuring compliance with industry regulations and internal policies Collaborating with security teams to address vulnerabilities Documenting data pipelines, architecture, and processes Sharing knowledge with team members through documentation, training sessions, and workshops</p>\n<p>Requirements:</p>\n<p>Bachelor&#39;s degree in Computer Science, Information Systems, or a related field Minimum of 5 years of industry experience, cloud experience is a plus Familiarity with GCP services (BigQuery, Dataflow, Pub/Sub, etc.) and related technologies Experience with data modeling, ETL processes, and data warehousing, SQL Previous work in highly regulated or complex organisations is a plus Strong problem-solving skills and attention to detail Proficiency in Python &amp; Bash for data manipulation and scripting Proficiency in SQL for querying and manipulating data Knowledge of Terraform for infrastructure as code (IaC) Familiarity with Jenkins for continuous integration and deployment Knowledge of Cloud platform, GCP is a plus</p>","enriched_at":1780617922582},{"id":"job_1eed2df6-72a","title":"Senior Consultant Specialist","source_url":"https://portal.careers.hsbc.com/careers/job/563774611335128","location":"Guangzhou","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist.</p>\n<p>As a Senior Consultant Specialist, you will be responsible for end-to-end service ownership, observability, monitoring, and alerting, API gateway and traffic management, authentication, authorisation, and security controls, resilience engineering and DR, incident management and problem management, CI/CD, release reliability, and environment management, database and dependency reliability, vulnerability management (CVE) and patching, and leadership and stakeholder management.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>End-to-end service ownership (AWS API platform) - Own reliability and operational readiness for API services deployed on AWS across multiple environments (dev/test/stage/prod).</li>\n<li>Observability, monitoring, and alerting - Design and implement monitoring and service status visibility (dashboards, service health views, dependency mapping).</li>\n<li>API gateway and traffic management - Operate and optimise Kong Gateway (or equivalent) for routing, rate limiting, throttling, authentication integration, and policy enforcement.</li>\n<li>Authentication, authorisation, and security controls - Work with IAM/security teams to ensure strong authentication/authorisation controls (e.g., OAuth2/OIDC, mTLS, token validation, secrets management).</li>\n<li>Resilience engineering and DR - Define and implement resilience patterns: multi-AZ design, failover strategies, graceful degradation, and dependency resilience.</li>\n<li>Incident management and problem management - Lead major incident response (triage, coordination, communications, recovery).</li>\n<li>CI/CD, release reliability, and environment management - Partner with engineering teams to improve CI/CD pipelines and release safety (progressive delivery, canary/blue-green, automated rollback).</li>\n<li>Database and dependency reliability - Provide reliability guidance for databases and stateful components (performance, backup/restore, replication, patching, capacity).</li>\n<li>Vulnerability management (CVE) and patching - Own/drive operational response to CVE and vulnerability findings: triage, risk assessment, patch planning, and verification.</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>10+ years’ experience in fintech or regulated financial services operating customer-facing digital platforms.</li>\n<li>Proven experience leading SRE/production operations for cloud-based services, ideally AWS.</li>\n<li>Strong hands-on experience with API gateways (Kong preferred) and API platform operations, observability tooling (AppDynamics, Splunk), incident management, RCA, and operational governance, CI/CD pipelines and release engineering practices, security controls (IAM, secrets management, secure configuration, vulnerability/CVE remediation), database operations and performance troubleshooting (SQL/NoSQL exposure beneficial).</li>\n<li>Strong understanding of reliability engineering concepts: SLI/SLO, error budgets, capacity planning, resilience patterns, DR.</li>\n</ul>\n<p>Technical skills include infrastructure as Code (Terraform/CloudFormation), containers and orchestration (Docker/Kubernetes/EKS), scripting/automation (Python, Bash), and AWS services commonly used in API platforms.</p>\n<p>Soft skills include calm, structured leadership during high-severity incidents, strong stakeholder communication, bias for automation and continuous improvement, and collaborative mindset across engineering, security, and operations.</p>","enriched_at":1780574822987}],"category_normalised":[{"category":"engineering","count":25},{"category":"it","count":2}],"velocity":{"weeks":[{"week_start":"2026-05-11","count":10},{"week_start":"2026-05-18","count":2},{"week_start":"2026-05-25","count":4},{"week_start":"2026-06-01","count":11}],"trend":"stable","wow_pct":175},"momentum":{"recent_14d":17,"prior_14d":10,"growth_pct":70,"classification":"accelerating"},"salary_vs_industry":{"company_median":null,"industry_median":null,"percentile":null,"sample_size":0,"by_region":[],"transparency_pct":0,"industry_transparency_pct":0,"transparency_warning":true},"market_share":{"company_jobs":27,"industry_total":27,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.288,"skill_weighted_score":0,"top_exposed_titles":[],"top_exposed_skills":[]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"Unknown","count":26,"share_pct":96.3},{"region":"APAC","count":1,"share_pct":3.7}],"emerging":[{"region":"Unknown","recent_30d":26,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":4,"exec_prior_90d_avg":0,"exec_growth_pct":100,"notable_exec_hires":[{"title":"Associate Director, Data and Analytics Specialist","location":"Guangzhou","posted_at":"2026-06-05"},{"title":"Associate Director, Software Engineering (AI Platform Infrastructure)","location":"Shenzhen","posted_at":"2026-05-26"},{"title":"Associate Director, Software Engineering","location":"Guangzhou","posted_at":"2026-05-18"},{"title":"Associate Director, Software Engineering","location":"Guangzhou","posted_at":"2026-05-18"}]},"posting_dynamics":{"median_days_open":3,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":63}}}}