Jobs at Convo

Designs and operates CI/CD and GitOps delivery systems for Python services, agent frameworks, prompts, tools, and platform configurations. Builds automated quality, security, and LLM-evaluation gates; manages Kubernetes deployments, rollback strategies, secrets, isolation, and least-privilege identities. Instruments pipelines and services for observability, traceability, and incident diagnosis while maintaining reusable deployment templates and coaching engineering teams on release standards.

Own end-to-end frontend delivery for SAP Fiori standalone applications and React/Next.js products. Build XML views, Fiori elements, TypeScript, and SCSS interfaces; integrate OData and REST APIs; understand microservices, databases, and MERN patterns; and establish frontend architecture and quality standards. Lead code reviews, testing, Agile delivery, mentoring, and responsible Cursor-based agentic development workflows.

Own enterprise digital product strategy, vision, roadmap, discovery, requirements, prioritization, delivery, UAT, launch, and continuous improvement. Translate customer and business needs into product artifacts, manage backlogs and KPIs, coordinate cross-functional stakeholders, and guide product teams. Use AI-assisted tools including Cursor, Claude, Antigravity, and GitHub Copilot to create functional prototypes and validate workflows, concepts, and UI approaches.

Maintain and enhance production Python and SQL data pipelines using Airflow, Azure Data Factory, and Spark. Implement schema, completeness, freshness, reconciliation, monitoring, logging, and alerting controls. Troubleshoot pipeline failures, data-quality incidents, and performance regressions; support incremental processing and operational stability. Document root causes, fixes, preventive actions, runbooks, and handover procedures while collaborating with data engineering and platform operations teams.

Build scalable, secure Python/FastAPI backend services, Studio workflows, MCP servers, APIs, and multi-tenant platforms. Responsibilities include designing microservices, implementing REST and MCP interfaces, managing data contracts, metering, quotas, rate limits, authentication, authorization, tenant isolation, partner access, automated testing, observability, and operational ownership. The role also delivers security mechanisms, audit systems, documentation, dashboards, runbooks, and production-ready integrations.

Lead delivery governance for a large-scale retail execution platform from planning through build, testing, go-live, stabilization, and hypercare. Coordinate product, engineering, architecture, SAP, integration, QA, infrastructure, and business teams; manage milestones, dependencies, risks, scope, readiness, reporting, and issue resolution. Support executive communication, production monitoring, transition to steady-state support, and post-implementation reviews.

Build and operate scalable batch and streaming data pipelines, connectors, and RAW-to-CUBE transformations using Python, Spark, Databricks, Kafka, dbt, SQL, and Delta Lake. Ensure data quality, schema validation, observability, performance, cost efficiency, and reliable recovery. Develop governed data products and feature-serving interfaces for machine learning models, agents, and downstream applications.

Lead React, Angular, and TypeScript micro-frontend architecture; build Studio and sales-cockpit workflows; drive design-system adoption; develop data visualizations and telemetry interfaces; and establish standards for performance, accessibility, testing, state management, and observability. Review external implementations, maintain reference components and documentation, and collaborate with Product, UX, backend, data visualization, and architecture teams.

Own the data architecture and knowledge-graph foundation for a CPG-focused agentic platform. Define canonical entities, dimensional and semantic models, versioned data contracts, schema governance, graph persistence patterns, and migration plans. Lead schema reviews and compatibility decisions while aligning batch, streaming, feature-serving, API, data engineering, AI, and application representations. Deliver approved CUBE and knowledge-graph models, contract catalogs, review processes, conformance tests, and architecture documentation.

Configure ERP solutions for FMCG clients, translate business needs into functional designs, facilitate workshops, support testing and deployment, analyze data, and improve commercial processes. The role partners with business and technical teams throughout the project lifecycle, manages stakeholders, guides junior analysts, and applies expertise in revenue growth, trade promotion, or sales automation.

Design and build production-grade agentic AI and multi-agent systems: implement RAG/GraphRAG, knowledge graphs and ontologies; develop agent workflows, routing, memory and MCP/A2A protocols; integrate Neo4j, vector and relational stores; build FastAPI backends and production-ready, scalable AI architectures.