Jobs at Mondia

Design, build, and operate AWS cloud infrastructure and multi-account network topologies. Own CI/CD pipelines and IaC (OpenTofu/Terraform, AWS CDK), container platforms (Docker, ECS/Kubernetes), observability (New Relic, Prometheus, Grafana), security and secrets management, disaster recovery (RTO/RPO), and incident response. Mentor engineers, define deployment standards, participate in on-call rotation, and drive operational excellence across distributed teams.

Lead design, development, and maintenance of automated test frameworks (UI, API, backend) using Playwright (Node.js); own end-to-end testing for releases; optimize CI/CD pipelines; use BrowserStack/Applitools/Testim; manage test cases in TestRail/Zephyr/Xray; collaborate with teams on acceptance criteria; perform root-cause analysis and expand coverage across functional, regression, performance, accessibility, and security testing.

Lead rollout, adoption, and optimization of AI tools and the Knowledge Hub. Track adoption metrics, support LLM integrations, run training and enablement, maintain knowledge content, and produce dashboards and reports to measure AI impact.

Develop and execute partnership strategies to drive revenue, identify and secure new partners, negotiate agreements, manage existing relationships, coordinate cross-functional campaigns, monitor performance, and recommend improvements.

Support Partnerships by coordinating cross-functional teams, tracking timelines and deliverables, maintaining trackers and action logs, monitoring partner activities, preparing status updates, and assisting partner-facing communications to ensure smooth launches and live operations.

Build production agent logic, tools, and orchestration; implement RAG pipelines (ingestion, embeddings, retrieval, re-ranking); design Postgres schemas and vector indexes; build test-generation/execution engines; integrate with Git and CI/CD; ensure reliability, observability, and safety; write typed, well-tested Python.

Build production-grade agentic AI systems: implement agent logic, RAG pipelines, Postgres-backed vector storage and indexing, test-generation/execution, CI/CD integrations, observability, and reliability optimizations. Write typed, well-tested Python and operate production services.

Build production-grade agentic AI systems: implement agent logic, RAG pipelines, Postgres schemas and vector indexes, integrate with Git and CI/CD, create test-generation/execution engines, and own reliability, observability, and cost. Write typed, well-tested Python and participate in code review.

Design, deploy, and optimize scalable AWS-based data pipelines and platforms. Build ETL/ELT processes, data models, orchestration, monitoring, CI/CD, and data-quality controls. Collaborate with stakeholders, document data lineage and architecture, and promote automation, observability, and governance to enable reporting, analytics, and AI use cases.

Lead global gaming strategy and product portfolio from concept to monetisation. Own P&L, user growth, engagement, partnerships, and roadmap. Drive data-led decisions, quality governance, and scale cross-market gaming experiences.

Lead end-to-end delivery of multidisciplinary IT/telecom/media projects: define scope, allocate resources, create and track project plans, manage vendors and stakeholders, mitigate risks, control changes, report progress, ensure quality, maintain documentation, close projects, and improve PMO practices.