Top Python Jobs in Hyderabad

Lead the design and management of cloud-based data systems, ensuring reliability, scalability, and security while mentoring junior engineers and optimizing performance.

Run and own platform infrastructure for a high-cadence, latency-sensitive AI CX platform: CI/CD, IaC, multi-cloud (GCP primary), observability, uptime, GitOps, Kubernetes/GKE, on-call SRE rotation, and deploy-safety engineering.

Lead automation-first quality engineering for an AI-driven CX platform. Build and maintain CI-integrated automated test suites (Go/Python) for event-driven, low-latency services. Implement fast, parallelized regression gating weekly deploys, load/stress/soak tests, API/contract tests, and synthetic traffic/audio simulation. Rapidly detect/report issues, isolate root causes, manage flakes, and support dev teams to meet committed timelines.

Design, build, and operate high-throughput, low-latency backend services and AI/ML pipelines on an event-driven platform. Own Go services, WebSocket backends, RAG/embedding/model-serving components, and connectors to CCaaS/CRM/telephony. Work in 1-week sprints, deliver production-grade integrations or AI features, and meet strict latency and delivery commitments.

The Senior DevOps Engineer at SimCorp is responsible for enhancing deployment pipelines, managing cloud environments, and ensuring service reliability through collaboration and automation.

Lead design, delivery, and long-term health of scalable backend microservices while directly managing and mentoring a team of engineers. Own architecture, API design, async/event-driven workflows, data persistence and caching, observability, security, CI/CD, and production incidents. Partner with product and platform teams to drive roadmaps and reliable delivery.

The role involves defining Synthesis & STA flows, managing requirements for SoCs/MCUs, working with EDA vendors, and deploying new tools and methodologies.

Lead a small engineering team to design, build, and operate a mission-critical contact center platform combining ReactJS and Java/Spring Boot microservices with GenAI features (LLMs, RAG, embeddings, agentic workflows). Own full SDLC, production reliability, observability, CI/CD, and AI quality practices while providing hands-on technical leadership and mentoring.

Design, build, and maintain scalable, secure AWS cloud environments for an enterprise SaaS platform. Implement IaC, CI/CD and GitOps pipelines, monitoring, automation, and database optimizations. Enforce security best practices, drive ITIL/Agile operations, collaborate across global teams, and mentor junior engineers to improve reliability and performance.

Lead L2/L3 production support for legacy CRM and retail web apps, middleware/ESB integrations, and Salesforce Service Cloud. Own incident management, runbooks/DR, MSSQL and batch jobs, supervise small support team, coordinate vendors, and deliver small enhancements and fixes while ensuring disciplined change and release processes.

Design, develop, and maintain GCP-based analytics and automation solutions for manufacturing, procurement, and supply chain. Build dashboards in Looker Studio/BigQuery, create workflows with AppSheet/Apps Script, and integrate Google platforms with enterprise systems like Oracle, ERP, MES, and PLM.

The Software Engineering Lead Analyst will design and implement AI-driven solutions using Python, machine learning, and modern AI tools while enhancing development processes and tools.

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.

Develop and maintain Java-based microservices and REST APIs using SpringBoot. Implement automated tests, participate in CI/CD deployments to OpenShift/AWS, monitor application performance, troubleshoot dependent APIs, and collaborate in Agile teams through code reviews and release activities.

The Software Engineering Lead Analyst will design and implement AI solutions, manage full stack applications, and ensure production support, working closely with business partners.

Build end-to-end software features across frontend, backend, and AI components. Responsibilities include developing interfaces, APIs, backend services, data pipelines, automation workflows, and LLM-powered applications such as RAG systems and AI agents. The role involves testing, documentation, debugging, cross-functional collaboration, product iteration, and using AI coding tools to improve development speed and quality.

Design, deploy, and manage AWS and Azure cloud infrastructure, implement CI/CD automation, monitor and optimize performance and costs, enforce security and governance, build serverless solutions, troubleshoot cross-team issues, and maintain documentation and best practices.

Designs and implements software with strong UX and secure coding practices. Collaborates with design and product teams, authors technical and user documentation, debugs production issues, leads small-to-medium features, mentors peers, and contributes to product metrics and process improvements.

Design, build, and maintain backend and data-integration software with secure coding and strong UX focus. Write technical designs, unit tests, and documentation; debug production issues; lead small-to-medium features; mentor peers; collaborate with product and design; and track product adoption and reliability metrics.

Lead full-stack VMware Cloud Foundation (VCF) deployments: design management/workload domains, configure SDDC Manager, NSX-T, vSAN, vSphere and Aria components, automate Day-2 operations with Ansible/Terraform, troubleshoot compute/network/storage issues, support hybrid cloud integrations, produce runbooks and mentor junior engineers while ensuring customer satisfaction.

Deploy and maintain VMware Cloud Foundation environments, perform vSphere/NSX-T/vSAN configuration, support VCF bring-up and lifecycle tasks, integrate Aria observability, automate using Ansible/PowerCLI/Terraform, support hybrid cloud connectivity, document implementations, and provide customer-facing troubleshooting.

Lead modernization and integration of z/OS UNIX and Linux on IBM Z, implementing z/OSMF, Zowe, and DevOps/CI-CD practices. Build interoperable APIs, automate tasks with scripting and IaC, optimize USS and zLinux performance, integrate monitoring (SMF, RMF, Grafana/Splunk), and provide third-level support. Provide technical leadership, mentor colleagues, and collaborate across middleware, security, and cloud teams to enable hybrid mainframe-distributed solutions.

Design, develop, and support Java and Python cloud-native applications, microservices, REST APIs, and event-driven services on AWS. Build and optimize PySpark/Glue ETL pipelines, implement Elasticsearch/OpenSearch solutions, deploy containerized apps to EKS, participate in code reviews, production support, and collaborate with cross-functional teams to deliver robust solutions.

Design, build, and maintain Java/Python microservices and cloud-native solutions on AWS. Implement REST APIs, Elasticsearch/OpenSearch search, PySpark/Glue ETL, and deploy containerized apps to EKS. Participate in code reviews, production support, and cross-functional collaboration to deliver reliable solutions.

Lead post-silicon validation for HSIO interfaces on GPU platforms. Responsibilities include validation planning, test execution, and cross-team coordination.