Top Python Jobs in Hyderabad

Design, operate, and modernize the infrastructure that coordinates large-scale semiconductor design flows across global datacenters. Own platform component architecture, migrate legacy Perl/Python services, debug production containerized services and Linux hosts, build web interfaces for EDA tools, analyze job telemetry, mentor junior engineers, and optionally contribute to physical design methodology.

Develop cloud-based applications with strong Angular and TypeScript expertise while contributing to AWS, Kubernetes/EKS, backend services, microservices, CI/CD, infrastructure as code, and platform engineering initiatives. Build and support front-end and cloud services, troubleshoot containerized deployments, automate delivery pipelines, and collaborate across technology domains. Preferred experience includes Helm, Terraform/OpenTofu, Lambda, Node.js, Jenkins, cloud governance, event-driven systems, automated testing, and developer enablement tooling.

Operate and maintain an Azure-based SaaS platform by monitoring infrastructure, managing patches, triaging alerts, responding to incidents, maintaining runbooks, tracking SLA and reliability metrics, and supporting CI/CD operations. The role participates in on-call rotations, post-incident reviews, automation initiatives, and infrastructure-as-code improvements while collaborating with cloud engineering teams.

Build, automate, and operate enterprise-scale data platforms using Databricks, Snowflake, Microsoft Fabric, Kubernetes, and cloud technologies. Responsibilities include Infrastructure as Code, CI/CD, GitOps, platform provisioning, reliability engineering, observability, security, governance, incident remediation, performance optimization, and FinOps. The role supports multi-environment deployments and self-service capabilities for data engineering and analytics teams.

The Senior Systems Engineer role involves implementing strategies and solutions for production services, developing and automating complex computing systems, and acting as a subject matter expert for Netskope products.

The role involves building and scaling the Acceldata Open Data Platform, focusing on observability, coding, debugging, and collaborating with teams and the open-source community.

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.

Operate and improve production data infrastructure across large-scale distributed cloud systems. Monitor performance, manage alerts, respond to incidents, perform root cause analysis, automate repetitive tasks, support CI/CD pipelines, document runbooks, and assist with capacity planning. The role requires participation in an on-call rotation and collaboration with Engineering to maintain reliability, efficiency, and uptime.

Design, develop, deploy, and maintain automated system tests for large-scale distributed systems. Create real-world test scenarios, improve automation methodologies, review system requirements and test plans, and collaborate with cross-functional teams. The role also includes mentoring less experienced engineers and evaluating testing infrastructure technologies.

Design and deliver data platform infrastructure for ads metrics alerting, diagnostics, and monitoring. Optimize large-scale streaming and batch pipelines, enhance analysis infrastructure, perform deep data analysis, collaborate with partner teams, and provide operational support and incident resolution.

Design and execute test strategies for web applications and APIs, manage defects, and contribute to QA process improvements.

Lead and manage a distributed Oracle DBA engineering team, own production operations and major incident response, architect and migrate Oracle databases to AWS RDS, optimize performance and security, implement DR and backup strategies, automate operations with scripting and CI/CD, and support Tier-0/Tier-1 SLAs for critical financial applications.

The Staff Back-end Engineer will develop scalable systems and lead architectural design while collaborating cross-regionally to improve e-commerce solutions.

The Staff Back-end Engineer will design high-quality systems, drive robust product growth, and collaborate on scalable solutions while mentoring engineering teams.

Serve as the Observability SME to implement and manage Dynatrace-based monitoring across cloud, on-premises, and hybrid environments. Build automation (Python, Shell) for telemetry onboarding, alerts, dashboards, and incident workflows. Collaborate with DevOps, Cloud, Platform, and Operations teams to define SLIs/SLOs, reduce alert noise, and improve incident detection and resolution.

The Principal Technical Architect will design AI strategies for enterprise clients and build autonomous systems at Workato, focusing on customer interaction and internal platform development.

Develop and maintain enterprise AI products and intelligent agents using Python, JavaScript, SQL, REST APIs, AWS, and Docker. Responsibilities require advanced SQL schema design, performance tuning, stored procedures, object-oriented programming, API development, version control, and cloud-based software engineering. The role operates within globally distributed, remote-first delivery teams serving enterprise clients across multiple industries.

Lead end-to-end support operations for AI products and agents, owning production stability, major incident command, problem management, reliability strategy, observability, automation, release governance, compliance, and talent development across shift-based global teams in a regulated enterprise environment.

Lead a 20-person software engineering and SDET team, overseeing people development, hiring, delivery, capacity planning, escalations, architecture reviews, engineering practices, and cross-team initiatives. Build scalable team leadership structures, mentor emerging leaders, and apply AI-enabled workflows and solutions. Partner with product leadership on roadmaps and execution while maintaining strong technical credibility in software architecture, distributed systems, Python, APIs, databases, testing, and CI/CD.

Architect, develop, integrate, test, debug, and optimize embedded software for diverse hardware platforms using RTOS, bare-metal, Zephyr, and Linux environments. Lead software architecture, system validation, test automation, and multi-threaded application development while collaborating with hardware and software teams. Define test strategies, analyze defects, document designs, conduct code reviews, mentor engineers, optimize performance and power usage, and contribute to open-source projects.

Design, build, and operate secure, multi-account cloud landing zones and platform foundations. Automate governance, FinOps, and compliance with policy-as-code; develop reusable IaC modules; build CI/CD/GitOps pipelines; embed security, observability, and SRE practices; and deliver the infrastructure platform as a product for internal teams.

Leads customer-facing design and implementation of cloud, platform, infrastructure, data, and AI solutions. Responsibilities include cloud migration and modernization, Infrastructure as Code, CI/CD, Kubernetes, automation, GitOps, platform security, observability, and AI-assisted development. The consultant conducts workshops, creates reusable platform capabilities, enables responsible AI adoption, mentors engineers, supports proposals and pre-sales, and ensures secure, reliable, governed, and cost-effective production solutions.

Lead design, implementation, and lifecycle management of Kubernetes platforms across multi-region clusters. Own GitOps-driven provisioning, upgrades, security, incident escalation, runbooks, and mentor engineers while automating operational toil.

Provide technical leadership for project teams implementing and configuring client payment applications. Define technical requirements, review architecture and tests, code and apply patches, support UAT and go-live, troubleshoot systems, and liaise with product and customers. Develop documentation, estimates, and oversee technical direction and quality.

Design and develop low-latency, GPU-accelerated video streaming features; optimize encoder and GPU/CPU pipeline performance; build video quality measurement and analysis tools; integrate AI models for real-time video processing and adaptive streaming; and improve reliability, telemetry, and debugging for cloud-based streaming systems.