Top Python Jobs in Hyderabad

Lead and mentor the global infrastructure team to design, deploy, and support private/public cloud, virtualization, storage, networking, and DevOps platforms. Drive projects, automation, migrations, vendor selection, monitoring, and on-call support to ensure availability, performance, and scalability for product development labs.

Develop and deploy backend solutions for outbound member, prescriber, and client communications. Write modular code across the SDLC, implement CI/CD pipelines, monitor data quality, and collaborate cross-functionally to build scalable cloud-native services on AWS/OpenShift.

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.

The Data Engineering Lead oversees data engineering operations, manages teams, ensures data integrity, and drives innovation in data management and governance.

Develop and support cloud-native applications on AWS using Python, manage AWS services, build APIs, and ensure system reliability and compliance.

Lead and advise on Big Data infrastructure (Databricks, Snowflake) across AWS and Azure. Design, implement, and optimize platform administration, CI/CD and IaC pipelines, performance tuning, cost optimization, and incident/problem/change management while coordinating vendors and cross-functional teams.

Design, develop, test, and deploy database-backed applications and data solutions. Collaborate with Agile teams and stakeholders to deliver features, optimize queries, model databases, and ensure performance, code quality, and alignment with architecture and governance.

Design and build scalable test automation across UI, API, and microservice layers. Create test frameworks, integrate tests into CI/CD, validate APIs/gRPC/events, run performance and accessibility testing, manage test data, reduce flakiness, and support Agile delivery.

Develop and maintain backend services, fix bugs, write unit/integration tests, participate in code reviews and Agile ceremonies, support CI/CD and DevOps workflows, use Git, collaborate with product and design teams, and produce basic technical documentation while learning from senior engineers.

Design, develop, and support automation and integration solutions; architect UI, workflows and data models; troubleshoot production issues; lead junior developers; perform unit testing and document technical requirements.

Design, build, and maintain scalable Workday integrations (EIB, Core Connectors, Studio, REST/SOAP) across HR, Payroll, Finance and downstream systems. Own end-to-end lifecycle, monitoring, incident response, data reconciliation, documentation, and collaboration with HR/Finance/vendors. Drive integration best practices, automation, AI-assisted tooling, and metrics for uptime and data quality.

Operate and administer cloud infrastructure (Google Cloud, AWS), automate tasks with Python/Scala, manage containers (Kubernetes/Docker), design/maintain IaC, troubleshoot systems and networks, perform root-cause analysis, improve resiliency, document processes, advise clients, and participate in on-call rotations.

Design, build, and maintain REST API integrations and automation tooling for enterprise MDM platforms. Support provisioning, firmware management, eSIM/carrier workflows, and internal middleware/dashboard services for a 10,000+ Android and iOS device fleet, collaborating with IT and vendors on integrations and migrations.

Design, deploy, and maintain scalable cloud infrastructure across AWS/Azure/GCP. Build and operate CI/CD pipelines (GitLab/GitHub Actions), automate provisioning with Terraform/CloudFormation, use Python for automation, monitor performance and security, troubleshoot deployments, enforce compliance and DR policies, and optimize cloud costs.

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.

Design, deploy, and maintain blockchain infrastructure and cloud services on AWS. Administer and scale EKS Kubernetes clusters, build CI/CD pipelines (GitHub Actions, ArgoCD, CodeBuild), and automate infrastructure with Terraform/CloudFormation and Helm. Monitor system performance, tune services, and collaborate with global partners.

Design and implement complex backend logic for the Strategy Engine to deliver personalized, dynamic UI experiences. Collaborate with data analysts to define and evaluate strategies, and work with Product, DevOps, and QA to deliver robust solutions. Promote engineering best practices and perform code reviews to ensure quality and consistency.

Lead QA automation for Futures across web, desktop, and mobile: design and execute test plans, set up test environments, write automated tests, perform security and performance testing, root-cause analysis, and improve testing processes across the SDLC.

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.

Design, build, test, and deploy low-latency, high-throughput trading systems; collaborate with quant and product teams; maintain trading infrastructure, risk and position-monitoring tools; mentor juniors; integrate AI coding agents into development workflows and support production incidents.

Deploy, configure, and maintain blockchain networks and cloud infrastructure on AWS. Administer and scale Kubernetes (EKS) clusters, build CI/CD pipelines (GitHub Actions, ArgoCD, AWS CodeBuild), and automate provisioning with Terraform and Helm. Monitor system performance and tune infrastructure. Coordinate with international partners (requires English/Mandarin).

Manage, design, deploy, and maintain MongoDB/MySQL databases including clusters, replica sets, and sharding. Monitor performance, troubleshoot incidents, write automation scripts, collaborate with developers on schema and optimization, and ensure high availability, security, and reliability.

Develop and maintain trading infrastructure, provide production support and troubleshooting, and participate in the full software development lifecycle alongside quant traders.

Early-career Performance Engineer in the Binance Accelerator Program. Perform hands-on performance testing and tuning, design AI-powered test strategies using LLMs and ML, build AI-driven anomaly detection and bottleneck analysis tools, research new AI technologies, and improve reliability of large-scale distributed systems.