Jobs at Qodea

Lead hands-on Google Cloud SecOps engagements: deploy and configure SIEM/SOAR, build parsers and YARA-L detections, design SOAR playbooks and integrations, secure GCP foundations and CI/CD, operationalise threat intelligence, run threat hunting, and mentor practice growth and pre-sales activities.

Manage complex customer accounts, overdue debt, escalations, reconciliations, invoicing, payment allocation, credit assessments, cash forecasting, and direct debit processes. Lead and coach the credit control team, monitor performance, reduce DSO, improve billing accuracy, document procedures, and drive cross-functional process improvements. The role includes customer engagement, senior stakeholder communication, and reporting to the Financial Controller.

Monitor, investigate, and respond to security events and incidents for MSSP customers. Responsibilities include incident triage, threat analysis, containment, log analysis, threat hunting, detection-rule optimization, vulnerability assessment, incident documentation, stakeholder communication, and on-call incident response. The role requires knowledge of enterprise security technologies, operating systems, cloud services, attack techniques, and security monitoring tools.

Develop and maintain Python backend systems for AI-driven enterprise applications. Build generative AI features including RAG pipelines and LLM integrations, deploy cloud-native services on GCP, and automate infrastructure with Terraform and CI/CD. Contribute to technical designs, API security, automated testing, observability, and production deployments while collaborating with teams across North America and Europe.

Leads group financial control, consolidated and statutory reporting, month-end and year-end close, technical accounting, audits, internal controls, tax coordination, treasury, and finance operations across an international multi-entity business. Partners with the CFO and other leaders, manages and develops the finance team, and drives improvements to reporting systems and processes.

Process accurate monthly payroll across multiple group entities, maintaining employee records, deductions, statutory payments, pension contributions, and HMRC filings. Coordinate with external payroll providers, HR, and Finance to ensure timely payments and compliance. Reconcile payroll to the general ledger, support month-end reporting, and respond professionally to employee and manager queries while safeguarding confidential data.

Build AI-enabled tools that solve strategic business problems, improve operations through intelligent automation, and accelerate decision-making with machine learning. Design and implement solutions using ML models, large language models, and data science pipelines. Work with cloud technologies, modern development tools, and deep learning frameworks while continuously developing expertise in machine learning.

Prepare monthly management accounts, variance analyses, reconciliations, journals, depreciation, and financial reporting across global entities and currencies. Manage overhead costs, invoicing, customer debt-collection relationships, audit support, systems improvements, and ad hoc finance projects. The role requires strong analytical ability, numerical accuracy, communication, and knowledge of accruals, prepayments, and balance sheet reconciliations.

Own Salesforce administration and development for the commercial organization, including data modeling, complex Flow automation, API integrations, security, metadata governance, reporting, and dashboards. Maintain integrations with HubSpot, DealHub, and potentially NetSuite. Translate Sales, Marketing, and Finance requirements into technical specifications, manage the improvement backlog, troubleshoot integration health, and improve data quality through validation, deduplication, and field hygiene.

Owns monthly management accounts, revenue recognition, variance analysis, balance sheet reconciliations, journals, commissions, invoicing, and year-end audit support across multiple global entities and currencies. The role improves month-end processes, supports finance systems and ad hoc projects, and provides technical oversight to an Assistant Management Accountant.

Provide dedicated executive assistance to senior leadership: manage complex global calendars and inbox triage, coordinate travel and visas, capture meeting actions, support onboarding, and plan leadership events and offsites while maintaining confidentiality and high organization in a fast-changing, hybrid environment.

Design and deploy production-grade generative AI systems using Vertex AI and Python. Build RAG pipelines, orchestrate LLMs and agentic workflows, manage vector databases and data sources, fine-tune models and prompts, implement MLOps (Docker, CI/CD), ensure AI observability and testing, and consult with clients while collaborating globally.

Manages high-volume sales support workflows, including account renewals, software license requests, vendor renewals, invoice queries, purchase orders, quotes, and procurement assistance. Maintains accurate records in Zendesk and Salesforce while coordinating with finance, vendors, customers, and senior renewals specialists. The role requires strong spreadsheet and mathematical skills, attention to detail, organization, communication, and the ability to resolve operational requests efficiently with minimal supervision.

Provide second-line governance and assurance across the engagement lifecycle: validate acceptance, ensure mobilisation readiness, maintain governance evidence (RAID, change control, forecasts, billing), monitor budget burn and margins, run ISO 9001 audit sampling, manage closure and lessons-learned, and escalate exceptions to owners.

Build and scale Python backend systems for enterprise AI applications. Implement production-grade AI features (RAG, LLM orchestration) with Vertex AI, design cloud-native architectures on GCP, author technical design documents, automate deployments with Terraform and CI/CD, and ensure API quality, security, and observability while collaborating with global teams.

Designs, delivers, and improves learning and development programs across virtual, in-person, and e-learning formats. Responsibilities include training needs analysis, workshops, coaching leaders, learning strategy, gamification, LMS content management, compliance training, Google certification initiatives, analytics, stakeholder reporting, employee self-service, and budget management.

Design, build, and maintain scalable data pipelines and storage on cloud platforms. Implement ETL, data models, data quality monitoring, governance, and collaborate with data scientists for analytics and reporting.

Serve as a trusted, client-facing data engineering lead for MSP customers: design, maintain and monitor automated ETL/ELT data pipelines and data infrastructure on GCP, troubleshoot and resolve platform issues, maintain data models for analytics, implement best practices, document managed-service processes, mentor junior engineers, and coordinate quarterly customer reviews and implementations.

Lead design and delivery of scalable, secure cloud platforms (GCP preferred) for enterprise clients. Implement IaC (Terraform), CI/CD, containerisation (Docker, Kubernetes), monitoring, cost optimization, and compliance. Engage clients, run workshops, support pre-sales, conduct incident RCA, mentor junior engineers, and raise platform engineering standards across engagements.

Design, implement, and automate scalable Google Cloud Platform infrastructure using IaC (Terraform/Deployment Manager), Kubernetes, and containerization. Ensure security, compliance, monitoring (Stackdriver/Prometheus), perform troubleshooting and root cause analysis, optimize costs, support BAU tasks, mentor junior engineers, and engage with stakeholders.