Top Python Developer Jobs in Pune

Leads data engineering, analytics, predictive modeling, and Generative AI initiatives. Designs scalable Microsoft Fabric infrastructure, ETL/ELT pipelines, governance frameworks, and data models; develops and deploys predictive models; analyzes complex datasets; automates financial reporting and reconciliation; and partners with business, finance, and analytics teams. Provides technical leadership, mentors junior engineers, establishes reporting standards, and promotes data literacy.

Designs, develops, and supports enterprise integrations, business process automation, workflow orchestration, cloud solutions, and custom applications. Partners with business, customer, product, and engineering stakeholders to gather requirements and improve operational efficiency. Leads technical delivery across application development, architecture, secure integrations, CI/CD, and production support while mentoring teams and promoting engineering best practices.

Creates and maintains automated tests for API, web, network, and database-backed applications. Develops test suites within continuous integration pipelines, executes and diagnoses tests, reproduces defects, verifies fixes, and assesses release readiness. Collaborates with Engineering on requirements, designs, usability, quality standards, and risk mitigation. Produces test plans, cases, procedures, and reports while researching issues and recommending solutions.

Develop and maintain enterprise-level Python applications, using GitHub for version control and collaboration. Optimize MySQL queries, perform regression testing, work with data workflows, and use AI tools such as Copilot or Claude. Familiarity with Django, Flask, and CAE software is beneficial.

Build and maintain end-to-end applications using Python and React, including backend APIs, data layers, responsive user interfaces, integrations, background jobs, and microservices. Design secure, scalable software, implement unit testing and CI/CD pipelines, deploy to AWS or Azure, support production reliability, participate in code reviews, collaborate cross-functionally, and contribute to technical excellence, risk management, and governance.

Develop high-performance core applications that collect and move large volumes of data. Own features and modules across the development lifecycle, building enterprise-grade, server-side, multithreaded, asynchronous, cloud-scale systems. Responsibilities include SQL performance programming, database design, and collaboration across remote teams using Scrum and Agile methodologies. Cybersecurity, SaaS integrations, data modeling, and ontology experience are advantageous.

Develop, train, evaluate, and optimize ML solutions and data pipelines; translate business requirements into production-ready ML code; perform feature engineering, model selection, and evaluation; document work, participate in code reviews, and support testing and data issue resolution.

Principal Data Engineer responsible for developing and supporting Databricks pipelines, integrating heterogeneous healthcare data sources, modeling unified data products, and ensuring data quality and availability. The role partners with business stakeholders, product teams, data engineers, and clinical leaders to gather requirements, create datasets, support ad hoc analytics, enable machine learning and AI use cases, and assist with acquisition integrations. Extensive healthcare data, cloud, SQL, PySpark, and Python experience is required.

Architect and develop large-scale, cloud-native services and real-time systems. Lead SDLC, mentor engineers, drive AI-augmented development, ensure operational excellence, testing, and security compliance.

Design and maintain scalable Python microservices, REST APIs, WebSockets, background jobs, and event-driven systems. Deploy AWS infrastructure using Terraform or AWS CDK, build CI/CD pipelines, optimize PostgreSQL, DynamoDB, and Redis data layers, and enforce secure authentication and access controls. Develop frontend features with React, Next.js, and TypeScript, while integrating AI/LLM capabilities, agentic frameworks, RAG workflows, and vector databases. Lead backend architecture and ensure quality through automated testing and LLM evaluations.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Design, build, and own distributed backend microservices supporting data ingestion, ML pipeline orchestration, model serving, and real-time analytics. Develop Kafka streaming solutions, PostgreSQL schemas, REST and gRPC APIs, Redis caching, and service observability. Deploy and debug Kubernetes services, implement security controls, participate in on-call rotations, and improve reliability. The role requires expertise in distributed systems, database optimization, microservice patterns, and production-grade backend engineering using Node.js, Python, or Go.

Develop, implement and support low-latency trading algorithms and analytics (multi-leg spreads, baskets, market making, VWAP, participation) within the FlexStrategy Server framework. Collaborate with clients and SMEs, enhance back-testing, perform developer and regression testing, produce documentation, and provide client support and installations.

Designs, builds, and optimizes enterprise-scale software systems and cloud platforms. Develops infrastructure as code with Terraform, automates infrastructure using scripting, and implements CI/CD pipelines. Applies DevSecOps and SRE practices, including monitoring, incident management, and performance tuning. Integrates generative AI into engineering workflows and leads architectural and technical decisions across AWS, Azure, and GCP environments while collaborating with stakeholders and technical teams.

Build and maintain secure, scalable, high-performance healthcare applications and services using Python and GCP. Responsibilities include designing, developing, testing, debugging, optimizing, and documenting software; implementing clean coding practices; troubleshooting technical issues; and collaborating with product owners and stakeholders. The role also involves GCP infrastructure-as-code with Terraform and may use healthcare interoperability standards, databases, containers, frontend technologies, and AI-assisted coding.

Lead architecture and roadmap for the reporting platform; own report generation, data ingestion, and query performance in Python/Django/ClickHouse. Drive design decisions, reduce production recurrence, improve data pipelines, maintain portals, build dashboards, mentor senior engineers, and collaborate with product and stakeholders.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Design and implement data federation and lakehouse architectures (Starburst/Trino), build scalable ETL/ELT pipelines using Python and Spark, optimize Spark and federated queries, manage Delta/Iceberg/Hudi tables, and enforce governance, access control, and data masking for analytics and AI use.

Develop high-quality engineering solutions for Merch Tech tools, build workflows and APIs for merchants, and ensure fast iteration and ownership.

Develop, fine-tune, deploy, and optimize AI/ML models and LLM-based RAG systems using Python, AWS Bedrock, and major ML frameworks. Build scalable REST APIs and microservices with FastAPI or Flask, deploy containerized solutions on AWS, and manage CI/CD. Design databases and automated ETL pipelines, integrate cloud services, and document AI workflows while collaborating with cross-functional technical and product teams.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

The role involves designing and delivering open source software operations code in Python, ensuring system reliability, and collaborating with teams across the Linux stack.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

The AI Data Scientist will analyze data using machine learning to provide insights for decision-making and improve operational efficiency, as well as lead and mentor teams in AI initiatives.