Qode

Role Description The Accountant is responsible for the accurate and timely recording of the Company's financial transactions, ensuring compliance with accounting principles, tax legislation, and internal procedures. The role supports the Finance Department by maintaining reliable financial records, assisting in financial reporting, and contributing to the effective financial management of the Company. - Records and maintains the Company's accounting transactions in accordance with applicable accounting standards and internal procedures. - Processes accounts payable and accounts receivable transactions, ensuring their accuracy and timely execution. - Performs bank, supplier, customer, and general ledger reconciliations. - Prepares and processes payments to suppliers, employees, and other third parties. - Issues customer invoices and monitors collections in cooperation with the relevant departments. - Assists in the preparation of monthly, quarterly, and annual financial reports. - Supports the preparation and submission of tax declarations and statutory reports in accordance with applicable legislation. - Maintains accurate accounting records and ensures proper filing of financial documentation. - Assists in budget monitoring, cost analysis, and financial reporting activities. - Collaborates with external auditors, tax consultants, banks, and public authorities when required. - Supports internal and external audits by providing the required financial information and documentation. - Ensures compliance with company policies, accounting standards, and applicable tax and financial regulations. - Identifies opportunities to improve accounting processes and internal financial controls. - Performs other accounting and financial duties as assigned by the Finance Manager or General Management. Qualifications - Bachelor's degree in Accounting, Finance, Economics, or a related field. - Minimum of 3–5 years of professional experience in an accounting or finance position. - Good knowledge of accounting principles, tax legislation, and financial reporting requirements. - Experience with ERP systems and advanced knowledge of Microsoft Excel. - Experience in construction, industrial, maritime, or project-based environments is considered an advantage. - Very good command of Greek and English languages. - Strong analytical, organizational, and communication skills.

Role Description We are looking for a hands-on Test Analyst with strong experience in SimCorp Dimension (SCD) and capital markets operations. This role supports the QA Lead in delivering high-quality testing across system implementations, upgrades, and enhancements. The ideal candidate brings strong functional testing skills, financial domain expertise, and the ability to analyze complex system behavior within SimCorp environments. Key Responsibilities - Execute functional, SIT, UAT, and regression testing within SimCorp Dimension - Validate end-to-end trade lifecycle including capture, processing, and settlement - Test interfaces, batch jobs, and system integrations - Log and track defects using JIRA and qTest (CalPERS test tool management application) - Perform root cause analysis on data and system issues - Support UAT and assist business users with testing - Develop and maintain test cases and test documentation - Assist with post-go-live validation and issue resolution Qualifications - Hands-on experience with SimCorp Dimension (SCD) - Strong knowledge of capital markets, investment operations, and the end-to-end trade lifecycle including trade capture, trade confirmation, trade processing, settlement, reconciliation, asset servicing, corporate actions, investment accounting, pricing & valuation, and Investment Book of Record (IBOR) processes - Experience in functional testing, SIT, UAT, regression testing, and defect management within investment management platforms - Experience with SimCorp Dimension batch processes, Auxiliary Jobs (AuxJobs), system operations, interfaces, data migration validation, DEX, and DFS - Experience using JIRA or similar defect tracking tools - Strong analytical and problem-solving skills with the ability to perform root-cause analysis on complex data, configuration, and system issues - Effective communication, documentation, stakeholder management, and training facilitation skills - Experience supporting SimCorp modules and business areas including Asset Manager, Order Manager, Trade Manager, Loan Facilities, System Manager, Front Office, Trade Operations, Asset Servicing, Data Management, and SWIFT workflows - Understanding of Agile and Waterfall delivery methodologies, business process mapping, change management, requirements gathering, and solution validation - Experience using SQL and test management practices for test planning, execution, reporting, and validation activities - Knowledge of major asset classes including Fixed Income, Equities, Money Markets, FX, Exchange-Traded Derivatives, OTC Derivatives, Asset-Backed Securities, Mortgage-Backed Securities, Securities Lending, Private Equity, and Private Debt

Role Description We are seeking a mid-level Software Engineer to join our high-output Platform Services team. This role is crucial for building and maintaining the foundational systems that power identity, authentication, and integration capabilities across our multi-product SaaS platform. Our team operates lean, leveraging a combination of deep engineering expertise and AI-assisted tooling to achieve platform-scale impact. As an engineer on this team, you will be expected to: - Deeply understand the systems you own. - Proactively identify and address potential issues. - Deliver solutions with a high degree of care to ensure downstream product teams remain unblocked. The immediate focus will be on federated identity and authorization infrastructure, involving the development and extension of platform services essential for authenticating users, enforcing authorization, and managing access at scale. A strong candidate will possess: - Hands-on experience with OAuth 2.0, OIDC, SAML, and JWT. - A solid understanding of authorization frameworks. - Practical knowledge of integrating identity services into real-world applications. - Embrace AI-assisted workflows as a core part of their development process. Qualifications - 3-5 years of professional software engineering experience. - Demonstrated ability to own and deliver features independently in a production environment. - Hands-on experience building backend services in .NET or Python, including RESTful API development. - Demonstrated experience implementing or integrating with federated identity systems using OAuth 2.0, OIDC, SAML 2.0, and/or JWT in production applications. - Practical understanding of authorization frameworks. - Proficiency in .NET or Python for backend service development. - Familiarity with modern API frameworks (e.g., .NET 9+, FastAPI). - Working knowledge of identity protocol mechanics. - Experience with multi-tenant SaaS integration patterns. - Familiarity with cloud platforms (AWS preferred). - Proficiency with standard development tooling: Git, CI/CD pipelines, containerization (Docker), and automated testing. - Active use of AI-assisted development tools as part of a daily engineering workflow. Requirements - 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. - Understand and reason about authorization frameworks, policy enforcement, and integration. - Reason clearly about token lifecycle, session management, and security implications. - Understand the mechanics of connecting distributed services. - Build and maintain integrations that are observable and fault-tolerant. - Write and work with API contracts with attention to versioning and backwards compatibility. - Actively use AI-assisted development tools to accelerate design, implementation, and validation. - Participate in building and improving AI-assisted workflows. - Stay current on evolving AI tooling and introduce new approaches to the team. - Write tests with sufficient coverage to catch regressions. - Contribute to operational health by monitoring shipped features. - 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. - 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. - Participate in API design reviews. - 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. - Participate in on-call rotations and incident response. - Participate in design discussions and code reviews. - Provide mentorship and review support to junior engineers. - Contribute to internal documentation, runbooks, and onboarding materials. Benefits - Competitive salary and performance-based bonuses. - Flexible work hours and remote work options. - Health, dental, and vision insurance. - Retirement savings plan with company matching. - Professional development opportunities. Company Description We are committed to fostering an inclusive and diverse work environment where everyone can thrive. Our mission is to empower teams to deliver significant product value through innovative technology solutions.

Role Description We are currently looking for a strong Backend Engineer with solid architectural understanding and hands-on development experience. You will play a key role in designing and developing sophisticated SaaS/PaaS applications that prioritize performance, usability, and accessibility, and building & leading your own team in the Vietnam office. - Develop and maintain robust, high-performing microservices using Java Spring Boot. - Design and implement scalable and distributed solutions to meet complex business requirements. - Utilize PostgreSQL for database management and integration within services. - Create and manage containerized applications using Docker and orchestrate deployments using Kubernetes (K8S). - Work collaboratively with stakeholders to analyze requirements, propose solutions, and ensure alignment with business goals. - Develop comprehensive testing strategies, including unit and integration testing, to ensure reliable and secure applications. - Ensure code quality and maintainability by following best practices and conducting regular code reviews. Qualifications - 7+ years of experience in software development. - Strong Java and Spring Boot experience. - Strong software architecture understanding. - Experience with distributed systems / microservice architectures. - Good understanding of containerized environments (Docker/Kubernetes). - PostgreSQL or other relational database experience. - Experience designing scalable backend systems and APIs. - Ability to work across backend and infrastructure topics when needed. - Experience building SaaS/PaaS products. - Familiarity with AI/LLM-related technologies is a plus. - Experience with DevOps, cloud environments, CI/CD pipelines, or platform engineering is a strong advantage. Requirements - Ability to drive technical decisions independently. - Mentoring or technical leadership experience. - Ownership mentality and ability to work in fast-moving product environments. - Strong ownership and accountability. - Excellent communication skills in English (spoken & written). - Ability to work independently with limited guidance. - Pragmatic problem-solving mindset. - High motivation and reliability. - Product-oriented thinking instead of only task execution. - Ability to collaborate internationally with distributed teams. Benefits - Working time: Monday-Friday 9:00-18:00. - Annual personal review meeting. - Full payment during probation period. - Full 13th salary. - 12 annual leaves. - Company trip. - Variable bonus. - Gifts on special events. - Monthly team bonding.

Role Description We are currently looking for a strong full-stack engineer with solid architectural understanding and hands-on development experience. You will play a key role in designing and developing sophisticated SaaS/PaaS applications that prioritize performance, usability, and accessibility, and building & leading your own team in the Vietnam office. - Design, develop, and maintain scalable full-stack applications across both front-end and back-end systems. - Build and maintain robust microservices using Java Spring Boot. - Develop front-end applications using Angular 19. - Design and implement distributed, scalable solutions aligned with business requirements. - Design and manage databases using PostgreSQL and ensure efficient data integration across services. - Containerize applications using Docker and manage deployments with Kubernetes (K8S). - Collaborate closely with designers, product managers, and cross-functional teams to deliver high-quality products. - Participate in requirement analysis, solution design, and technical decision-making across the stack. - Ensure code quality through best practices, including testing (unit/integration), code reviews, CI/CD, and documentation. - Work effectively in global teams and contribute to Agile/Scrum development processes. Qualifications - 7+ years of experience in software development. - Strong Java and Spring Boot experience. - Good experience with Angular. - Strong software architecture understanding. - Experience with distributed systems / microservice architectures. - Good understanding of containerized environments (Docker/Kubernetes). - PostgreSQL or other relational database experience. - Experience designing scalable backend systems and APIs. - Ability to work across backend and infrastructure topics when needed. - Experience building SaaS/PaaS products. - Familiarity with AI/LLM-related technologies is a plus. - Experience with DevOps, cloud environments, CI/CD pipelines, or platform engineering is a strong advantage. Requirements - Ability to drive technical decisions independently. - Mentoring or technical leadership experience. - Ownership mentality and ability to work in fast-moving product environments. - Strong ownership and accountability. - Excellent communication skills in English (spoken & written). - Ability to work independently with limited guidance. - Pragmatic problem-solving mindset. - High motivation and reliability. - Product-oriented thinking instead of only task execution. - Ability to collaborate internationally with distributed teams. Benefits - Working time: Monday-Friday 9:00-18:00. - Annual personal review meeting. - Full payment during probation period. - Full 13th salary. - 12 annual leaves. - Company trip. - Variable bonus. - Gifts on special events. - Monthly team bonding. - Full Equipment for your work.

Role Description Reporting to the Vice President of Data, the Principal Data Architect is the senior technical authority for how data is modeled, integrated, governed, and consumed across MeridianLink. You will design our enterprise data architecture end-to-end — from source-system ingestion through our Azure Databricks lakehouse and into the analytical, operational, and customer-facing data products our business depends on. This is a hands-on role. You will not only define the meta-models, conceptual models, logical models, and physical schemas that govern our data — you will build them, prove them out in code, partner closely with data engineers as they implement them, and evolve them as the business grows. The right candidate has done this before in a FinTech SaaS environment and understands the trade-offs that come with multi-tenant data, regulated workloads, and customer-facing analytics. What You Will Do: - Define the enterprise data architecture: Own the conceptual, logical, and physical data models for MeridianLink's analytical and operational data platform, including source-aligned, integrated, and consumption-ready layers. - Build the meta-model: Design and maintain a meta-model that captures entities, relationships, business definitions, ownership, lineage, sensitivity classifications, and SLAs — and make sure it is wired into our tooling, not stuck in a slide deck. - Drive the lakehouse strategy: Architect our medallion (bronze / silver / gold) Delta Lake patterns on Databricks; define standards for partitioning, clustering, schema evolution, slowly changing dimensions, and historical reproducibility. - Be hands-on: Write PySpark, SQL, and Delta Lake code. Build reference implementations, prototype patterns, review pull requests, and personally model critical domains rather than delegating every detail. - Lead data integration design: Set patterns for ingestion through Informatica Data Management Cloud (IDMC) and direct Databricks pipelines, including CDC, batch, streaming, and API-based sourcing from our SaaS products and third-party systems. - Champion data governance and lineage: Partner with data governance, security, and compliance leaders to operationalize cataloging, lineage, classification, masking, and access controls across the platform (Unity Catalog, IDMC, and adjacent tools). - Standardize data modeling practices: Establish the standards, naming conventions, and review processes used by the Data Engineering team. Coach engineers on dimensional modeling, Data Vault, and other techniques where they best fit the use case. - Partner across the business: Work closely with Product, Engineering, Analytics, ML, Finance, Risk, and Customer-facing teams to translate business needs into durable data designs. - Influence the roadmap: Identify gaps in tooling, capability, and skill; propose investments; and drive multi-quarter initiatives that materially improve how MeridianLink uses its data. Qualifications - 12–15+ years of progressive experience in data engineering, data warehousing, and data architecture roles, with at least the most recent several years at the architect level. - Demonstrated experience as a Data Architect at a SaaS company in the FinTech or financial services software space (lending, banking, payments, capital markets, insurance, or a closely related domain). - Deep, hands-on expertise with Databricks and PySpark on Azure, including Delta Lake, Unity Catalog, structured streaming, and performance tuning at scale. - Production experience with Informatica Data Management Cloud (IDMC) — or comparable enterprise integration platforms — for ingestion, transformation, and metadata-driven pipelines. - Proven track record of designing and implementing detailed meta-models and end-to-end data models (conceptual, logical, and physical) that have shipped to production and stood up over time. - Strong command of dimensional modeling (Kimball), Data Vault 2.0, and modern lakehouse patterns, including the ability to choose the right approach for the right use case. - Expert SQL skills and strong proficiency in Python/PySpark; comfortable writing the code, not just the diagrams. - Demonstrated experience implementing data governance, lineage, and metadata management programs (e.g., Unity Catalog, IDMC Data Governance, Collibra, Atlan, or similar). - Working knowledge of FinTech-relevant regulatory and compliance considerations (e.g., GLBA, SOC 2, PCI, NIST, state lending regulations) and how they shape data design. - Excellent written and verbal communication skills; able to explain complex data concepts to engineers, executives, customers, and auditors. Preferred Qualifications - Prior experience designing data architectures for multi-tenant SaaS platforms with customer-facing analytics or embedded reporting. - Experience supporting Loan Origination, deposit account opening, or other consumer lending workflows and the underlying data domains (applicants, applications, decisions, funding, servicing, credit data, fraud, KYC/AML). - Experience building feature stores or curated data products that serve both ML/AI workloads and BI consumers. - Familiarity with Azure data services (ADLS Gen2, Azure Data Factory, Event Hubs, Synapse, Purview) and their interplay with Databricks. - Experience with dbt, Great Expectations, or other modern data quality and transformation tooling layered on top of Databricks. - Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience. Our Data Stack - Lakehouse: Azure Databricks, Delta Lake, Unity Catalog, PySpark, SQL - Integration: Informatica Data Management Cloud (IDMC) - Cloud: Microsoft Azure (ADLS Gen2, Azure Data Factory, Event Hubs, Key Vault) - BI & Consumption: Modern BI tooling, embedded analytics, ML feature delivery - Governance: Unity Catalog, IDMC governance, lineage, and data quality controls

Role Description We’re looking for a Sr. Technical Project Manager (TPM) to drive delivery for complex, cross-functional initiatives—including those involving AI/ML and intelligent automation. You’ll balance scope, timeline, and dependencies while partnering across Engineering, Product, Data, Security, and Operations to deliver high-quality outcomes. This role is ideal for someone who can run tight execution rhythms and understand the unique delivery needs of AI work in the rollout of the AI-Driven SDLC (AIDLC). What You’ll Do - 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 lightweight 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. Qualifications - 7+ years of technical program management in a software engineering organization, with at least 2 years in an AI, ML, or platform transformation context. - Demonstrated experience managing AI/ML initiatives or SDLC modernization programs — not just awareness, but delivery ownership. - Fluency with AI-driven SDLC concepts: AI-assisted requirements, co-pilot/code generation tooling, test automation, agentic deployment, and observability. - Ability to translate engineering complexity into executive narratives and vice versa; strong stakeholder management across CTO, VPs, and ICs. - Experience running programs that span multiple scrum teams, including offshore-heavy organizations. - Hands-on with program/project tooling (Jira, Confluence, or equivalents) and familiarity with engineering metrics (DORA, SPACE, or similar frameworks). What Success Looks Like (First 90 Days) - Delivery plans are clear, realistic, and transparent; stakeholders consistently know status, risks, and next steps. - Dependencies are surfaced early and managed actively; team execution rhythms are consistent and effective. - AI-related initiatives have strong delivery hygiene (milestones, measurable outcomes, and aligned execution across data/Product/Engineering). Why This Role You’ll play a pivotal role in delivering cross-functional technology initiatives—and help the organization execute confidently as AI becomes a more central part of products and operations. You’ll bring clarity, momentum, and structure to complex work while partnering with leaders across Engineering, Product, and Data.

Role Description We are seeking an experienced Senior Databricks Architect to design and deliver scalable, high-performance data platforms for our Financial Services clients. The ideal candidate will have deep expertise in Databricks, cloud data architectures, and modern data engineering practices, with a strong focus on building governed, secure, and efficient data ecosystems. - Architect and implement end-to-end data solutions using Databricks Lakehouse Platform - Design and develop scalable data pipelines using PySpark, Spark, and SQL - Lead cloud data platform implementations on AWS/Azure/GCP - Drive modernization of legacy data systems to cloud-native architectures - Implement Medallion Architecture (Bronze, Silver, Gold layers) - Ensure data governance, security, and compliance (especially for Financial Services) - Collaborate with business stakeholders, data scientists, and engineering teams - Optimize performance, cost, and reliability of data pipelines - Mentor and guide data engineering teams and provide architectural leadership Qualifications - 12+ years of experience in Data Engineering / Data Architecture - Strong expertise in Databricks, PySpark, and Spark ecosystem - Hands-on experience with cloud platforms (Azure, AWS, or GCP) - Experience with data orchestration tools (Airflow, ADF, etc.) - Solid understanding of data modeling, ETL/ELT, and distributed systems - Experience with Delta Lake and Unity Catalog is a plus - Strong knowledge of Financial Services domain (Banking, Insurance, Capital Markets) - Excellent problem-solving and stakeholder management skills Requirements - Databricks certifications - Experience with real-time data processing (Kafka, streaming) - Exposure to AI/ML pipelines and MLOps - Knowledge of regulatory and compliance frameworks in Financial Services

Role Description Ready to take ownership of a critical platform that powers real estate transactions? Join a collaborative, fast-paced environment where your expertise will directly impact operational efficiency, user experience, and compliance. This fully remote opportunity allows you to shape workflows, support teams, and drive continuous improvement across a widely used closing platform. Qualifications - 3+ years of hands-on experience as a system administrator or power user within a real estate closing or title/escrow platform - Strong technical aptitude with the ability to understand data structures and map complex workflows - Experience configuring software platforms, including permissions, templates, and integrations - Excellent communication skills, with the ability to translate technical concepts for diverse audiences - Detail-oriented mindset with a focus on compliance, accuracy, and continuous improvement Requirements - Act as the primary point of contact for platform-related questions, support, and ongoing enhancements - Configure and maintain workflows, transaction stages, and document templates to align with business needs and regulatory requirements - Partner with internal teams to optimize processes, streamline operations, and improve user adoption - Support end users by troubleshooting issues, delivering training, and creating clear documentation (guides, runbooks, and resources) - Oversee user roles, permissions, and data security to ensure sensitive information is protected - Collaborate with cross-functional teams to identify system limitations and recommend scalable solutions Benefits - Compensation: $80,000 – $90,000 (Administrator level) - Compensation: $60,000 – $70,000 (Super User level) - Employment Type: Direct hire - Work Schedule: Standard business hours Nice to Have - Experience supporting software integrations or system implementations - Background in training or supporting end users in a regulated environment

Role Description Design, build, and maintain scalable data infrastructure and pipelines that support banking operations, analytics, and regulatory compliance. This role bridges technical leadership with strategic business needs, ensuring data is accurate, secure, and accessible. Key Responsibilities - Data Architecture & Pipeline Development - Design and implement robust, scalable data pipelines for structured and unstructured data. - Oversee ETL/ELT processes to ingest data from core banking systems, CRM, and external sources. - Ensure data models support real-time analytics, reporting, and machine learning. - Collaborate with data scientists and analysts to provide usable, cleaned and aggregated data to end users. - Governance, Security & Compliance - Ensure data practices comply with banking regulations (e.g., Basel III, GDPR, local laws). - Implement data governance frameworks, including metadata management and lineage tracking. - Collaborate with cybersecurity teams to safeguard sensitive financial data. - Performance Optimization - Monitor and optimize data infrastructure for performance, reliability, and cost-efficiency. - Troubleshoot data issues and ensure high availability of data services. - Innovation & Tooling - Evaluate and adopt modern data technologies (e.g., cloud platforms, data lakes, streaming tools). - Promote automation and DevOps practices in data engineering workflows. Qualifications - Bachelor’s or Master’s in Computer Science, Data Engineering, or related field. - At least 7 years in data engineering, with 2+ years in a leadership role. - Strong experience with SQL, Python/Scala, Spark, Kafka, and cloud platforms (AWS/GCP/Azure). - Familiarity with banking systems, financial data structures, and regulatory requirements. - Excellent communication and stakeholder management skills.