Top SQL Jobs in Pune

As a Senior Data Platform Engineer, you'll build and scale OpenGov's data infrastructure, lead ELT/ETL implementation, and ensure data governance, security, and observability while collaborating across teams.

As a Senior Back End Developer, you'll design and optimize scalable software back-end systems for web and mobile applications, collaborating with various teams to enhance platform reliability and performance.

As a Backend Engineer at Trust Wallet, you'll develop backend features for multiple platforms, maintain infrastructure, ensure system monitoring, and foster team growth.

Lead a team of technical support engineers, ensure high service quality, handle complex troubleshooting, and collaborate with global teams for customer advocacy.

The Growth & Lifecycle Marketing Manager will lead lifecycle marketing programs, optimize digital channels, and apply AI in strategy execution and measurement to drive patient engagement and business growth.

Provide hands-on Azure platform engineering: provision/configure Azure services (Data, App Services, AKS, AI/ML), develop Terraform and ARM templates, manage CI/CD with GitHub/Azure DevOps, operate Azure Databricks/Unity Catalog, register APIs with Kong, troubleshoot platform issues. Requires strong C/C++ and Stratus VOS/Unix skills; Snowflake and payment-card domain knowledge are nice-to-have.

Design, build, and maintain scalable ETL pipelines and data models for analytics and ML. Ensure data quality, optimize performance, enforce governance and security, and collaborate with stakeholders to deliver reliable, production-ready data for reporting and data science.

Lead design, development, and deployment of production-ready ML/AI systems using Python, PyTorch, LLMs and related tools. Drive model research, tuning, monitoring, cross-functional integration, and mentor junior engineers while prioritizing practical business impact.

Design and build scalable backend systems and AI-powered solutions (LLMs, RAG, retrieval, agents). Own projects end-to-end, optimize performance, drive AI engineering standards, mentor engineers, and integrate AI with enterprise systems.

Lead architecture and delivery of enterprise Generative AI solutions: design LLM-based RAG pipelines, multi-agent systems, and secure cloud deployments; establish LLMOps best practices; advise clients, run PoCs, and mentor engineering teams to operationalize scalable, compliant AI systems.

Lead backend QA efforts across the SDLC: design and execute test plans and automation, validate APIs, databases and distributed services, track defects, and improve test strategy to reduce manual effort.

Early-career TechOps role in Binance Accelerator Program focused on observability, automation, and AIOps foundations. Build dashboards, alerts, runbooks, automate repetitive support tasks, perform RCAs, prototype lightweight agents/skills, and improve incident management workflows. Hands-on with logging/metrics/traces, basic MLOps concepts, and support-driven product improvements.

Build and maintain full-stack web applications using React/Vue frontends and Java/Spring Cloud microservices. Design and consume REST/AI model APIs, work with SQL and NoSQL databases, use AI-assisted development tools, own features end-to-end, collaborate across product and design, ensure high-quality UI/UX, write tests, and contribute to documentation and architecture.

Manage post-listing partner and operational requests (rebranding, token swaps, mainnet integration, airdrops), perform ROI and risk analyses, run projects through SOP stages, build risk-control systems, optimize processes, support analytics and post-mortems, and deliver initiatives on time.

Design and build backend microservices for real-time fraud detection, transaction monitoring, and risk analysis. Integrate ML models and risk scoring engines, support scalable distributed systems, and leverage AI-assisted development and LLM/agent tools for risk automation.

Design and implement automated tests, perform manual backend investigations, reproduce and track defects, conduct root-cause analysis, document test scenarios, expand scripted coverage, and improve QA processes while collaborating with developers, product managers, and stakeholders.

Analyze operational data and processes, identify bottlenecks, design scalable solutions, automate workflows and reporting with Python and SQL, build dashboards and monitoring, perform root-cause analysis, document logic and collaborate with product, engineering, and ops teams to improve automation and data quality.

Build and deploy agentic finance AI solutions: design voice‑optimized prompts and conversational flows, integrate LLMs (Gemini/GPT/Claude) with RAG and enterprise data, implement voice/speech/telephony integrations, automate workflows and reporting using Python and SQL, and collaborate across product, engineering, and operations to tune and monitor production ML systems.

Lead Compliance Data Analytics to research and analyze risk patterns (fraud, account takeover, payment fraud), deploy and iterate rules/models, partner with stakeholders to balance user experience and risk mitigation, drive business-centric analytics and strategic metrics, and build and manage a high-performing compliance analytics team.

Drive product requirement development and execution from user feedback and data; collaborate with Product, Design, and Engineering; own GTM and feature launches; plan campaigns and growth strategies; define and track core metrics; handle daily operations including content governance and user experience monitoring.

Early-career software engineer in a fixed-term accelerator contributing to backend/full-stack feature development, testing, CI/CD, and deployments. Collaborate on API and system design, integrate and deploy AI/LLM capabilities (LLM APIs, RAG, embeddings, agents), build datasets/benchmarks, monitor performance, debug issues, and produce technical documentation.

Analyze marketing campaign performance, customer behavior, and market trends; build and maintain marketing dashboards and reports; collaborate with marketing and sales to define data needs; conduct competitor and KOL analysis; present insights via data visualization and recommend optimizations to improve marketing ROI and conversion.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.

Design, build, and maintain high-performance backend services and APIs using Java/Spring Boot. Develop and productionize recommendation algorithms and LLM systems, optimize LLM workloads (including on-prem), ensure scalability, reliability, and security, and collaborate across time zones with product and project teams to own end-to-end architecture.

Lead design and implementation of a sustainable points/economy system: define issuance rules, redemption, inflation control, metrics, anti-abuse strategies, and collaborate cross-functionally to integrate the system and ensure compliance and stable operations.