Jobs at Shuru

Designs, builds, and maintains scalable data pipelines and cloud-based data solutions using Python, SQL, Snowflake, PySpark, and AWS. Develops data ingestion, transformation, analytics, and integration frameworks for large datasets while improving performance, reliability, and data quality. Collaborates with product, business, and QA teams and applies AI-native tools and workflows for coding, testing, reviews, documentation, and productivity.

Build and deploy AI agents, LLM-powered applications, intelligent workflows, automations, backend services, APIs, and integrations. Translate ambiguous business problems into production-ready solutions involving retrieval, memory, tool use, structured outputs, monitoring, evaluation, and error handling. Collaborate with product, engineering, and business stakeholders while experimenting, debugging, and continuously improving AI systems in a fast-moving startup environment.

Develops interactive Power BI dashboards, reports, data models, KPIs, and DAX calculations. Integrates data from Dynamics 365, SharePoint, SQL, Excel, and APIs; transforms data with Power Query; manages Power BI Service, refresh schedules, gateways, and row-level security. Collaborates with stakeholders, optimizes reporting performance, and troubleshoots data issues. The role is remote but requires recurring travel to Dubai based on project needs.

Develop and deploy production-grade AI and machine learning solutions, including LLMs, RAG, transformers, deep learning, recommendation systems, regression, classification, and clustering. Conduct rigorous statistical analyses, apply FATE principles, translate insights into business strategies, and establish ML production best practices. Collaborate with engineering, product, and analytics teams using Python, SQL, Azure, Snowflake, and modern ML frameworks.

Own the engineering, data, platform, and technology strategy for a fast-growing digital business. Lead engineering and data teams, establish technology roadmaps, oversee cloud infrastructure, architecture, scalability, reliability, security, compliance, and technology costs. Partner with executive stakeholders to align priorities, manage investments and vendors, strengthen analytics, and identify AI and automation opportunities.

Design, build, and scale cloud-native applications with AWS and AI/ML capabilities. Develop AI agents and orchestration frameworks, integrate AWS AI services, automate deployments, monitoring, and infrastructure management, and contribute to full-stack development. Apply AI-assisted development tools, implement secure and performant cloud architectures, troubleshoot distributed systems, collaborate cross-functionally, and mentor junior engineers.

Design, build, and maintain scalable Snowflake data pipelines and cloud data solutions. Develop ETL/ELT workflows, SQL queries, stored procedures, and data models; integrate APIs, databases, SaaS platforms, and cloud storage. Optimize Snowflake performance, implement data quality monitoring, support reporting and analytics, and translate stakeholder requirements into reliable data solutions.

Own the roadmap and end-to-end delivery of internal products and growth tools. Responsibilities include identifying business problems, defining requirements and success metrics, prioritizing features, collaborating with engineering and design, conducting user research, tracking adoption and outcomes, managing launches, and experimenting with AI and automation to improve internal processes.

Sources, screens, and selects candidates for technical and leadership roles. Coordinates interviews, assessments, and hiring feedback; maintains candidate pipelines and ATS records; advises hiring managers on requirements, market trends, and candidate profiles; and supports employer branding through outreach and events. This is a full-time remote position requiring experience recruiting for engineering, data, and product roles.

Build and maintain scalable mobile test automation for React Native and Expo applications using Playwright, Appium, Maestro, and React Testing Library. Optimize large test suites through sharding, parallel execution, retries, and failed-test reruns. Integrate automation into CI/CD pipelines, generate nightly QA reports, debug flaky tests, improve test reliability, and collaborate with engineering and product teams to enhance release quality.

Leads the company’s full technology ecosystem, including ERP, POS, RFID inventory, website, mobile app, BI, cybersecurity, and compliance. Owns engineering strategy, architecture, reliability, scalability, integrations, vendor management, build-versus-buy decisions, and retail technology transformation. Builds engineering teams and collaborates with executive, finance, marketing, and store operations stakeholders. The remote role requires recurring travel to Indore and Mumbai.

Lead the architecture and development of a low-latency trading platform replacing PrimeXM XCore. Build pricing aggregation, smart order routing, FIX connectivity, order execution, MT4/MT5 integrations, and FIX/REST APIs. Optimize latency, slippage, fills, and rejects while designing resilient LD4/NY4 infrastructure. Responsibilities include technical leadership, code reviews, mentoring, and production troubleshooting.

Senior Software Test Engineer responsible for manual and automated testing across web, mobile, and API platforms. Designs test automation strategies using Playwright and related frameworks, performs API, database, performance, and validation testing, and supports quality in Agile, cloud, CI/CD, and DevOps environments. Requires strong SQL, Git, cloud platform, and AI experience, with collaboration across product and technology teams.

Facilitate Scrum ceremonies, support sprint and delivery planning, remove blockers, manage risks and dependencies, maintain Jira boards and backlogs, track delivery metrics, coordinate across Agile teams, and drive continuous improvement. Partner with Product, Engineering, QA, PMO, and technology stakeholders to improve delivery visibility, accountability, and team effectiveness.