qode.world

Recruitment

• Qode Quorum is a monthly, relaxed, conversational online sharing series bringing together recruitment practitioners to come together to share their day-to-day experiences with AI tools: what's working, what's not, and how to stay proactive in a changing landscape.
• No need to be an AI expert - we're simply looking for recruitment practitioners who can share honest, practical perspectives from their own experience.
• The 60-90 minutes agenda usually includes a main sharing session + Q&A. The event will be streamed live on LinkedIn, Youtube, Facebook simultaneously.
• A 75-minute online session (your time commitment is roughly 10 mins of personal sharing)
• A quick 30-second intro video of yours beforehand (phone recording is perfectly fine)
• 2 LinkedIn posts to help promote the event where you’re a speaker - we'll guide you on exactly what to share

APAC Guest Speaker – Recruitment

Full-stack Engineer

• Work closely with Architects, Kanban master, QA and PM to deliver high quality work
• Complex features development
• Regular code review and mentoring of regular developers working on features
• Provide good code coverage in unit and integration testing
• Be ready for every day technical decisions
• Professional communication with other cross-functional team representatives
• Be ready for sustenance in areas under engineer responsibility

Senior Software Engineer

Backend Engineer

• Design, develop, and deliver high-quality Java-based enterprise applications.
• Build scalable, cloud-native distributed systems using modern software engineering principles.
• Collaborate with Product Managers to define technical roadmaps and implementation strategies.
• Participate in architecture discussions and contribute to technical design decisions.
• Champion engineering excellence through code reviews, coding standards, automated testing, and best practices.
• Mentor junior developers and provide technical leadership.
• Collaborate closely with QA, DevOps, and Documentation teams to ensure high-quality software delivery.
• Build reliable, secure, and highly available enterprise applications.
• Troubleshoot complex technical issues and drive continuous improvement initiatives.
• Communicate effectively with cross-functional teams and stakeholders across global locations.

Java Application Developer

• Design, implement, test, and release features end-to-end with limited guidance.
• Independently identify edge cases and potential failure modes within assigned work.
• Write clean, maintainable code and provide constructive, specific feedback during code reviews.
• Proactively communicate blockers or ambiguities to the team.
• Apply practical knowledge of federated identity standards including OAuth 2.0, OIDC, SAML 2.0, and JWT.
• Understand and reason about authorization frameworks, policy enforcement, and integration into upstream and downstream services.
• Reason clearly about token lifecycle, session management, and the security implications of identity design choices.
• Understand the mechanics of connecting distributed services in a multi-product platform environment.
• Build and maintain integrations that are observable, fault-tolerant, and respectful of downstream consumers.
• Write and work with API contracts (REST, event-driven patterns) with attention to versioning and backwards compatibility.
• Actively use AI-assisted development tools (e.g., Claude Code, Codex) to accelerate design, implementation, and validation.
• Participate in building and improving AI-assisted workflows and evaluation harnesses.
• Stay current on evolving AI tooling and introduce new approaches to the team.
• Write tests with sufficient coverage to catch regressions without over-engineering.
• Contribute to operational health by monitoring shipped features, responding to issues, and following incidents to resolution.
• Document systems and processes to reduce reliance on tribal knowledge.
• Build and extend platform services for federated identity, authentication, and authorization.
• Implement integrations with the centralized identity platform, including token handling and session management.
• Support product teams with integration processes, debugging, and navigating edge cases.
• Develop tooling, documentation, and examples for self-service integrations.
• Design and implement backend service integrations using Python and common patterns.
• Build with multi-product and multi-tenant scenarios in mind.
• Participate in API design reviews.
• Use AI development tools as an active part of the delivery workflow.
• Contribute to AI harness development to improve team velocity.
• Share effective AI-assisted engineering patterns with the team.
• Write unit, integration, and acceptance tests.
• Instrument services for observability (logging, metrics, alerting).
• Participate in on-call rotations and incident response.
• Participate in design discussions and code reviews, giving and receiving feedback constructively.
• Provide mentorship and review support to junior engineers.
• Contribute to internal documentation, runbooks, and onboarding materials.

Software Engineer

Scrum Master

• Lead all Scrum ceremonies (Sprint Planning, Daily Stand-ups, Backlog Refinement, Sprint Reviews, Retrospectives) with a focus on flow, transparency, and predictable delivery.
• Support PI Planning, System Demos, Inspect & Adapt workshops, and cross-team coordination to ensure alignment with ART objectives.
• Mentor teams on Agile principles, Scrum practices, and Lean thinking; elevate team maturity and self-organization.
• Identify, track, and eliminate blockers; escalate risks and dependencies across teams and ART leadership.
• Use metrics such as velocity, throughput, cycle time, and predictability to guide continuous improvement.
• Partner with Product Owners, Engineering Managers, QA, DevOps, and Architecture to ensure clarity of requirements, technical readiness, and delivery alignment.
• Promote engineering excellence, automated testing, CI/CD adoption, and adherence to enterprise governance standards.
• Provide clear, concise updates on team progress, risks, and outcomes to ART leadership and business stakeholders.

Senior Scrum Master

• Analyze the data yourself — profile, query, and reconcile investment data directly (SQL against Oracle, distributed processing on Hadoop/PySpark) to answer business questions and pressure-test assumptions before they become designs.
• Design the architecture — target-state data models, integration patterns, and data-serving designs (including GraphQL and other API layers) that balance performance, cost, and maintainability.
• Drive the business discussion — turn ambiguous needs from PMs, research, risk, and client reporting into a clear problem statement, prioritized backlog, and outcomes stakeholders care about.
• Drive the technical discussion — lead design reviews with engineering and platform teams; make and defend trade-offs on modeling, storage, processing, and distribution.
• Own the data domains — security master and reference data, market/pricing data, holdings and transactions, benchmarks, performance and attribution, risk, and ESG/alternative data.
• Govern data as a product — ownership, quality SLAs, lineage, and shared definitions so a "position" or an "AUM" number means the same thing everywhere.
• Rationalize vendors and platforms — evaluate market data and platform vendors (Bloomberg, LSEG/Refinitiv, FactSet, MSCI, ICE, Aladdin/other OMS) against coverage, cost, and redundancy.

Business Technical Architect

Ecommerce

• Oversee fraud management, risk control, and compliance operations.
• Define risk appetites, build and optimize risk models, and ensure trademark protection.
• Lead a team of specialists to mitigate risks (fraud/security/financial/compliance) on Platform Ecommerce.
• Define, monitor, and challenge fraud risk appetite and effectiveness of preventive controls.
• Identify early signs of fraud and platform security risks to implement countermeasures.
• Utilize data-driven approaches to build, evaluate, and optimize risk models.
• Leverage data and analytical tools to detect fraud patterns and propose preventive measures.
• Establish a framework for audits to review models, processes, and policies.

Trust & Safety Specialist – E-Commerce

Data Engineer

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimize large-scale data processing solutions using Python, PySpark, and Java.
• Develop data ingestion frameworks for structured and unstructured data sources.
• Integrate data from various systems through REST APIs, streaming platforms, and batch processing.
• Work with large datasets in distributed computing environments.
• Develop and support real-time and batch data processing solutions using Kafka and Hadoop ecosystem technologies.
• Implement scalable streaming data pipelines and event-driven architectures.
• Monitor and optimize data workflows for performance and reliability.
• Write complex SQL queries for data extraction, transformation, and analysis.
• Design and optimize database schemas and data models.
• Ensure data quality, consistency, and governance standards are maintained.
• Participate in Agile ceremonies including sprint planning, daily stand-ups, backlog grooming, and retrospectives.
• Use Jira for project tracking, issue management, and sprint execution.
• Collaborate with Data Architects, Data Scientists, Business Analysts, and Application Development teams.
• Work independently as well as within a collaborative team environment.
• Troubleshoot and resolve data-related issues across environments.
• Perform root cause analysis and implement long-term solutions.
• Support production deployments and ongoing maintenance activities.

Technical Product Manager

• Define and evolve the product vision aligned with enterprise business goals and retirement platform modernization initiatives.
• Translate strategic objectives into a clear, actionable roadmap for 401(k), IRA, and retirement plan administration capabilities.
• Identify opportunities for innovation, automation, and platform enhancements across participant, sponsor, and advisor experiences.
• Conduct market, customer, and competitive analysis within the retirement and recordkeeping ecosystem.
• Partner with leadership on long‑term product strategy and investment planning for retirement platforms.
• Own and manage the product backlog, ensuring clarity, prioritization, and readiness.
• Write detailed Epics, Features, User Stories, and Acceptance Criteria for retirement workflows such as contributions, distributions, loans, rollovers, compliance testing, and plan configuration.
• Prioritize work using frameworks such as RICE, WSJF, and MoSCoW.
• Define workflows, business rules, edge cases, and functional specifications for recordkeeping and IPA processes.
• Maintain product documentation, process flows, and wireframes.
• Work closely with engineering to understand technical constraints and architectural considerations.
• Participate in architecture discussions for cloud‑native, microservices‑based platforms supporting retirement plan data models and transaction lifecycles.
• Collaborate on API design, integration requirements, and system interoperability with custodians, payroll providers, and plan administration systems.
• Support technical decision‑making by providing business context and prioritization rationale.
• Lead backlog grooming, sprint planning, and release readiness activities.
• Participate in daily stand‑ups, sprint reviews, and retrospectives.
• Ensure sprint goals align with business priorities and roadmap commitments for retirement platform enhancements.
• Track delivery progress, remove blockers, and validate completed work against acceptance criteria.
• Engage business stakeholders to gather requirements and align expectations across retirement operations, compliance, and client‑facing teams.
• Present product updates to senior leadership and cross‑functional teams.
• Coordinate across Engineering, QA, UX, DevOps, Sales, and Customer Success.
• Serve as the primary liaison between technical teams and business partners.
• Partner with QA to define test scenarios and validate functionality, including retirement plan rules, contribution validations, and regulatory workflows.
• Review UAT results and ensure delivered features meet business expectations.
• Support release planning, documentation, and go‑live readiness.
• Define product success metrics and KPIs.
• Analyze customer usage data to identify optimization opportunities across participant and sponsor journeys.
• Drive data‑informed decision‑making across roadmap and feature prioritization.
• Experience with generative AI products, AI agents, and LLM‑based platforms is preferred.
• Understanding of Prompt Engineering, RAG, AI evaluation metrics, and governance is preferred.
• Exposure to workflow automation, test automation, and enterprise AI solutions is preferred.
• Familiarity with human‑in‑the‑loop workflows and model evaluation processes is preferred.

Technical Product Owner

Product Manager

• Own and evolve the product strategy for digital payments, including instant transfers, P2P capabilities, and money‑movement enhancements.
• Lead integrations with digital payment networks; manage certification, rule compliance, and ongoing operational alignment.
• Translate business needs into user stories, acceptance criteria, and prioritized backlogs.
• Partner with engineering to drive sprint planning, grooming, and release execution.
• Work with fraud, risk, and compliance teams to ensure secure, compliant payment experiences.
• Oversee payment flows including authorization, posting, settlement, exceptions, and reconciliation.
• Serve as the primary liaison across business, operations, customer support, and technology teams.
• Define and track KPIs such as payment success rate, fraud loss rate, adoption, and transaction latency.
• Support production stability, root‑cause analysis, and continuous improvement initiatives.

Senior Product Owner – Digital Payments Networks

• Own and manage the product backlog, ensuring alignment with business goals
• Define and prioritize features, user stories, and acceptance criteria
• Serve as the final authority on priorities and business value within Agile teams
• Participate in Agile ceremonies (sprint planning, reviews, retrospectives)
• Act as the voice of the business, advisor, and client
• Partner with stakeholders across technology, operations, compliance, and business teams
• Communicate product vision and roadmap clearly at sprint and release levels
• Drive data-informed decisions and business case development
• Improve trading functionality, order management, and trade routing workflows
• Support advisor-facing investment tools and portfolio management capabilities
• Work with vendor-integrated platforms and financial systems
• Ensure solutions align with the full lifecycle of trading and wealth management
• Define KPIs and track product performance, client satisfaction, and efficiency
• Ensure solutions meet regulatory and compliance requirements
• Continuously evaluate industry trends and fintech innovations

Product Owner – Wealth Management

• Design, develop, and support FircoSoft V6 implementations for sanctions and payment screening.
• Build scalable backend applications using Java, Spring Boot, and Spring Cloud.
• Design and develop secure RESTful APIs for enterprise integrations.
• Develop and maintain microservices-based applications.
• Build responsive front-end components using Angular or React.
• Integrate FircoSoft with core banking systems, payment gateways, and third-party applications.
• Develop and optimize database queries, stored procedures, and data models.
• Participate in architecture discussions and technical design reviews.
• Troubleshoot production issues and perform root cause analysis.
• Write unit and integration tests to ensure application quality.
• Collaborate with cross-functional teams including Business Analysts, QA, DevOps, and Product Owners.
• Participate in Agile ceremonies, sprint planning, code reviews, and release activities.
• Maintain technical documentation and ensure adherence to coding and security standards.

Senior Full Stack Engineer, FircoSoft

• Own end-to-end project execution: plan, schedule, and drive delivery across the full project lifecycle, balancing constraints and keeping work moving forward in partnership with product and engineering counterparts.
• Build and maintain project plans, track milestones, and proactively manage risks, issues, and tradeoffs—providing clear stakeholder updates with recommended solutions.
• Serve as the PMO lead for the ML's agentic platform and customer facing products — the structured methodology for developing, testing, deploying, and operating AI agents within MeridianLink’s agentic architecture.
• Partner with engineering leads to embed AI into each SDLC phase: requirements (AI-assisted grooming agents), development (co-pilot and Claude Code standards), testing (test-driven development metrics), and release (zero-downtime deployment, feature flag governance).
• Establish and continuously improve team processes that increase quality and productivity through process definition, education, and refinement.
• Facilitate light weight agile ceremonies (planning, standups, retrospectives) and drive continuous improvement through retrospective assessments.
• Use tools such as Jira (and related reporting) to support teams and enable visibility into progress, capacity, and delivery health. Bridge product and engineering AI alignment.

Senior Technical Project Manager

QA Engineer

• Own and evolve the end-to-end QA strategy for data pipelines, ETL/ELT workflows, and financial data integrations
• Design and implement scalable test frameworks covering data validation, schema integrity, transformation accuracy, and business rule compliance
• Define QA standards, best practices, and documentation requirements for the data engineering team
• Lead test planning, test case design, and execution across new pipeline builds and platform changes
• Validate the accuracy and completeness of wealth management datasets including positions, transactions, accounts, clients, advisors, and security master data
• Design and run reconciliation QA processes to surface breaks between custodians, internal systems, and third-party data providers
• Build automated data quality checks, threshold alerts, and validation rules to catch issues before they reach advisors or clients
• Investigate and document root causes of data quality failures and partner with engineering to drive permanent fixes
• Lead QA efforts across data ingestion, transformation, and delivery layers within the Microsoft Azure and Databricks environment
• Design regression test suites to ensure pipeline changes don't introduce data quality regressions
• Collaborate with data engineers during development to shift quality left — embedding QA checkpoints earlier in the build cycle
• Validate data outputs against business requirements and financial data specifications
• Actively leverage AI tools (e.g., GitHub Copilot, Claude, ChatGPT) to accelerate test case generation, anomaly detection, and QA documentation
• Identify opportunities to apply AI/ML techniques to data quality problems such as automated break detection, outlier identification, or pattern-based validation
• Champion an AI-forward approach to QA across the team and bring practical recommendations for tooling improvements
• Partner with data engineering, operations, and service teams to align on data quality standards and resolution workflows
• Serve as the QA voice in sprint planning, pipeline design reviews, and platform release cycles
• Mentor junior QA team members and help build a quality-first culture across the data organization

QA Lead – Data & Pipeline Quality

SDET

• QA Automation Lead design automated tests to validate the functionality of web and mobile applications.
• Test application functionality end to end, automate regression test suite and report the results.
• Expertise in creating Automation Test scripts using Selenium with Java Using testng framework and page object model design pattern.
• Expertise in the planning, constructing and execution of test scripts.
• Proficient in working with relational databases such as Microsoft SQL Server.
• Test Script development, maintenance & execution. Experience with Azure/TFS Integration is a plus.
• Generate comprehensive Test Reports.
• Experience with JIRA or similar defect tracking tool.
• Maintain Automation Testing Framework.
• Experience with working in Agile environment.
• Work closely with application Developers, Business Analysts, Product Owners to achieve shift left testing.
• Ability to prioritize and handle changing priorities in a fast-paced environment.
• Attention to detail is required.
• Excellent verbal and written communication skills.
• Building test plans, test suites, and manual or automated test cases for assigned changes.
• Effectively communicate with team members, project managers and clients, as required.