Translate business usersโ needs into data solutions, perform data mapping, and work with SQL, dbt, Data Catalog, and Databricks in an analyst role.
Build and maintain data pipelines using Python, Databricks, dbt, and Azure, integrating REST APIs and event streams while ensuring data quality through validation, testing, and Data Vault modeling.
Develop Java services and data pipelines using Spring Boot, Kafka, SQL, and Azure, applying object-oriented design and REST APIs to support project delivery with an experienced team.
Leads cross-functional business transformation by auditing and optimizing processes, shaping systems architecture, and overseeing integrations, migrations, and change communication from planning through sign-off.
Coordinates and develops the IT Operations team while managing Service Desk delivery, tools, service levels, hardware assets, stakeholder escalations, and cross-departmental operations.
Own a portfolio of client engagements, driving delivery outcomes, profitability, and forecasting while leading project managers, senior client relationships, presales, and cross-functional collaboration.
Own product strategy and roadmap for mobile platform capabilities, shaping core app functionality and reusable standards while aligning business, user, UX, and engineering needs.
Build and improve product software as a full-stack engineer using Go, while initially strengthening automated E2E/UI testing and integrating reliable test suites into CI/CD pipelines.
Own PMO execution, scheduling, bench management, operational reporting, and business systems to keep delivery data accurate, forecasts reliable, and margin leakage visible across teams.
Turns limited client input into quote-ready solution scopes, leads discovery workshops, defines requirements and product KPIs, and may serve as Product Owner on delivery projects.
Manage enterprise client relationships and account governance, grow adoption of digital and technology services, develop account plans, lead major pursuits, and drive client satisfaction and commercial performance.
Develop Android platform and payment capabilities, from modular app architecture and native integrations to secure in-app payments, Google Pay, tokenization, and recurring transactions.
Build and integrate Node.js and TypeScript backends, design REST APIs, and review existing codebases, with a focus on secure data handling and AI-assisted development.
Own product vision and roadmaps for production LLM and agentic solutions, defining acceptance criteria, autonomy boundaries, and product economics while collaborating across technical, analytical, and legal teams.
Analyze and redesign technology-driven business processes using AI, define requirements, and collaborate with development teams to build, test, monitor, and evaluate production agentic solutions.
Build a production AI agent for an image-processing system, using Python, agentic frameworks, LLM SDKs, MCP, and vector search while collaborating with an experienced development team.
Build production Python systems for multimodal image processing and applied AI, while scaling Apache Airflow workflows and deploying cloud services in collaboration with DevOps.
Build and maintain web and mobile experiences using React and Flutter, while shaping reusable design systems and clean, well-documented codebases suited to AI-assisted development workflows.
Acquire new clients for digital, AI, and software services by managing outbound prospecting and the full sales cycle, building executive relationships, and closing value-based deals.
Leads technical discovery and presales consulting, translating client needs into feasible solution designs, estimates, and proposals while aligning business, delivery, and engineering teams through project handover.
Develop backend features for an enterprise SaaS platform, integrate customer ERP systems, analyze and return data insights, and support developers and customers while resolving critical issues.
Build and deploy production AI systems for client and internal teams, translating ambiguous business problems into technical scope while contributing reusable agents, skills, and tooling to Netguruโs AI platform.
Build and maintain backend services with Kotlin, working with event-driven systems, Kubernetes, and CI/CD while collaborating with DevOps teams on certification and compliance processes.
Build and maintain production Go backend services and APIs, owning features from discovery through testing and release while collaborating with product, design, and distributed engineering teams.
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