Top Python Jobs in Hyderabad

Lead backend engineer responsible for designing and maintaining scalable Python services, APIs, event-driven AWS systems, data layers, RAG pipelines, and production AI agents. The role covers distributed systems, authentication, observability, infrastructure automation, dbt and Airflow data-platform workflows, reliability, security, testing, and CI/CD. The engineer will set technical direction, design service and API architectures, conduct code reviews, mentor teammates, and optimize AI quality, performance, cost, and security.

Leads cross-functional technology teams, provides technical mentorship, drives software and technology initiatives, develops technology roadmaps, evaluates new technologies, translates business requirements into technical solutions, improves processes, and manages vendor relationships and contracts. The role requires strong software development expertise, cloud knowledge, Agile experience, strategic thinking, stakeholder management, and 8–10 years of technology leadership experience.

Lead the architecture, modernization, automation, and performance optimization of SAS solutions on IBM Mainframe z/OS platforms. Design integrations with DB2, IMS, VSAM, COBOL, and JCL; optimize batch workloads and production operations; and ensure security, governance, and regulatory compliance. Partner with business and technical stakeholders to deliver scalable analytics environments, support modernization and cloud integration, mentor teams, and provide architectural guidance for business-critical enterprise systems.

Designs and operates CI/CD pipelines, Kubernetes platforms, infrastructure automation, observability, and reliability testing systems. The role develops chaos and fault-injection strategies, simulates failures, improves recovery and fault tolerance, manages Linux and networking infrastructure, and supports high-availability payment systems. It also advances AI-driven testing, developer self-service, security practices, and SRE principles across distributed, high-throughput environments.

Designs and develops scalable full-stack software for ServiceNow’s ITAM and AI Cost Management products. Responsibilities include architecture, coding, testing, delivery, distributed data pipelines, analytical workloads, dashboards, AI-enabled workflows, performance optimization, and production readiness. Partners with product managers, architects, and quality engineers while mentoring peers and promoting engineering best practices.

Develops and maintains web-based reconciliation applications using Python, JavaScript, Node.js, microservices, and cloud technologies. Responsibilities include designing enhancements, troubleshooting performance, implementing APIs, coordinating CI/CD and infrastructure changes with DevOps, testing new technologies, documenting solutions, and participating in Agile ceremonies. The role collaborates with product managers, architects, developers, and business teams across global locations.

Deploy, secure, and operate Ivanti’s production SaaS environments across AWS and Azure. Automate operational tasks, improve observability and reliability, troubleshoot applications and infrastructure, manage deployment pipelines and infrastructure as code, and participate in 24x7 incident response. The role also includes documentation, training, cross-functional collaboration, reliability and compliance improvements, project ownership, and mentoring junior team members.

Leads the architecture, modernization, integration, performance optimization, and governance of SAS solutions on IBM Mainframe platforms. Designs scalable analytics environments integrating SAS with DB2, IMS, VSAM, JCL, and COBOL; optimizes batch processing and production operations; ensures security and regulatory compliance; partners with stakeholders; and mentors teams. The role also supports SAS Viya migration, cloud integration, automation, hybrid architecture, incident management, and large-scale modernization initiatives.

Leads systems engineering for middleware and distributed platforms, including OpenShift and Kubernetes deployments, application onboarding, CI/CD automation, cloud infrastructure, SSL certificate lifecycle management, security patching, performance monitoring, troubleshooting, and system improvements. Collaborates across teams to design, implement, support, and debug reliable, secure technology solutions.

Designs and maintains reliable, scalable cloud infrastructure; improves monitoring, alerting, observability, automation, and operational efficiency. Manages production incidents, conducts root-cause analysis, implements permanent fixes, and applies SLI, SLO, SLA, and error-budget practices. Collaborates with engineering and cross-functional teams on cloud solutions, proof-of-concepts, resilience improvements, infrastructure standardization, and automated workflows.

Provide technical ownership and production support for Gainsight and Salesforce applications: troubleshoot production incidents, design and implement Gainsight/Salesforce solutions, perform testing and release activities, collaborate with business stakeholders and development teams, mentor junior analysts, and improve operational efficiency and reliability across customer success workflows.

Own full-chip and block-level ASIC integration across SoC and GPU projects. Develop design methodologies, automation pipelines, reusable infrastructure, and build flows using Python and Perl. Integrate RTL units, manage hierarchy and connectivity, debug functional issues, and collaborate with RTL, verification, physical design, and architecture teams. Improve internal standards and mentor engineers on integration practices.

Design, build, maintain, debug, and optimize high-volume mainframe business logic. Refactor legacy code to support cloud and mobile applications, extract business logic for modernization, and integrate mainframe data with cloud services. The role requires strong software development, database, web services, architecture, debugging, object-oriented programming, and scalable systems expertise.

Design, build, and maintain high-volume mainframe business logic while optimizing performance and troubleshooting complex systems. Refactor legacy code to support cloud and mobile integrations, extract business logic for modernization, and work with databases, APIs, microservices, containers, messaging systems, and DevOps practices.

Design, build, maintain, debug, and optimize high-volume mainframe business logic. Refactor legacy code to support cloud and mobile integrations, extract business logic for modernization, and develop scalable, robust software using modern architectures, databases, web services, containers, and messaging systems.

Designs, builds, maintains, and optimizes high-volume mainframe business logic. Responsibilities include debugging complex system interactions, improving performance, extracting legacy business logic for cloud migration, and integrating mainframe data with modern cloud and mobile applications. The role requires software development expertise, database knowledge, REST services, microservices, containers, messaging, object-oriented design, and modern DevOps practices.

Supports and improves mission-critical AWS production platforms through reliability engineering, incident response, monitoring, automation, deployments, capacity planning, and root cause analysis. The role develops observability and Infrastructure as Code solutions, contributes to CI/CD improvements, supports disaster recovery and security compliance, and creates operational documentation. Collaboration with development and platform teams is required to improve availability, scalability, resiliency, and operational readiness across global environments.

Designs, implements, and supports secure, scalable hybrid infrastructure across AWS, Azure, HPE, and VMware environments. Responsibilities include cloud architecture, networking, migrations, virtualization, monitoring, disaster recovery, security governance, incident resolution, automation, Infrastructure-as-Code, CI/CD, production support, and cost optimization. The engineer leads complex initiatives, participates in on-call support, collaborates across technical teams and vendors, and provides technical mentoring.

Design, develop, deploy, and support cloud-native Java/Spring Boot backend services and AWS-based microservices/serverless solutions. Implement API security (OAuth/Okta/JWT), monitor performance with Splunk/Honeycomb/CloudWatch, mentor junior engineers, participate in Agile ceremonies, and ensure production reliability and test automation using TDD/BDD (Cucumber).

Manage and optimize large-scale backup infrastructure across cloud and on-premises environments. Implement cyber-resilient backup and recovery solutions, support mass restores, monitor multi-tool environments, automate operations, manage technical debt, and troubleshoot incidents. Collaborate with global teams and stakeholders to maintain secure, reliable, scalable services while contributing to Agile projects and cloud backup initiatives.

Lead hands-on development of scalable, secure enterprise applications and data-driven solutions. Architect backend and frontend systems, establish automated testing and coding standards, maintain CI/CD quality gates, optimize databases and analytics platforms, and guide cloud-native microservice development. Mentor junior engineers, promote technical excellence, and collaborate cross-functionally while potentially progressing toward engineering management.

Leads firmware testing for carrier-class optical telecommunications products. Responsibilities include developing test strategies, executing white-box and black-box testing, creating automated test frameworks and optical performance test cases, debugging cross-functional issues, performing root-cause analysis, and supporting sustenance releases. The role requires extensive embedded telecom testing experience, Python automation, optical test equipment expertise, and technical leadership across geographically distributed teams.

Build, operate, and automate Infovista’s hybrid infrastructure across on-premises data centers and public clouds. Develop Infrastructure as Code, manage Kubernetes and CI/CD platforms, implement observability and SRE practices, automate lifecycle management and remediation, and support security, compliance, FinOps, asset discovery, and self-service provisioning. Collaborate with product engineering, security, IT operations, network teams, and third-party partners while modernizing legacy environments and promoting reusable automation.

Develop and maintain frontend web applications, client-side logic, reusable code libraries, unit tests, APIs, and technical documentation. Collaborate with backend developers to define APIs and create responsive, user-friendly interfaces from wireframes. The role requires strong JavaScript, React, Redux, HTML, and CSS skills, plus experience with REST services, JSON/XML, cross-browser compatibility, React Native, application servers, and Linux. Python, analytics, UI/UX, and SASS or LESS experience are preferred.

Design, develop, test, and deploy high-performance software for automated trading systems. Collaborate with quantitative researchers to define requirements, solve technical and quantitative problems, and build scalable, reliable live-trading systems. Continuously improve proprietary trading-system performance, scalability, and reliability while working across software engineering, mathematics, and quantitative finance.