Top Python Jobs in Hyderabad

Develop and deploy Java and Scala microservices for supply-chain finance, including invoice processing, settlement, funder allocation, and discounting. Build Spark batch and streaming jobs, Kafka event pipelines, and integrations with banks and ERP systems. Create Jasper Reports, maintain Kubernetes deployments, troubleshoot production systems using Elasticsearch and observability tools, and participate in Agile development, code reviews, system design, and automated testing.

Lead the architecture, development, deployment, and maintenance of scalable full-stack applications and distributed systems. Provide technical leadership and mentorship across backend, frontend, cloud, and DevOps disciplines. Build Python or Java services, React and TypeScript interfaces, APIs, asynchronous pipelines, microservices, and cloud-native infrastructure. Drive system design, performance, security, observability, code quality, and end-to-end delivery. AI-driven application development is an advantage.

Develop, optimize, and maintain highly scalable data pipelines, distributed backend systems, and reliable data services. Build high-performance architectures, integrate third-party data, support internal users, and enforce data governance, security, and compliance. Collaborate globally across India, the US, Singapore, and China while operating systems requiring high availability, low latency, observability, and self-recovery.

Perform target-oriented R&D to apply findings to product design and incremental improvements. Integrate, verify, test, and modify SW/HW/system components for VoIP/IMS/VoLTE products, develop and execute test strategies, use traffic simulation and automation tools, and troubleshoot voice quality, protocols, and interfaces.

Design and validate complex Salesforce development, configuration, security, metadata, integration, and deployment scenarios. Investigate failures across organizations, sandboxes, API versions, and release configurations; analyze dependencies and environment drift; define acceptance criteria; build reusable regression assets; track Salesforce releases; and partner with Product and Engineering to improve platform reliability and product coverage.

Maintain reliable, highly available production systems; define and monitor SLIs, SLOs, and SLAs; investigate incidents; support on-call operations; automate infrastructure and deployments; manage GCP, Kubernetes, and Docker environments; optimize CI/CD, cloud costs, monitoring, logging, alerting, and observability; and implement infrastructure security and compliance practices.

Develop and maintain automated testing frameworks for industrial controls software and material-movement systems. Define testing requirements, create functional, end-to-end, performance, and integration tests, and integrate automation into CI/CD pipelines. Build test reporting infrastructure, support deployment and customer acceptance testing, analyze defects, and collaborate across Agile teams. The role requires expertise in automation languages, testing tools, cloud environments, source control, databases, and modern frameworks such as Docker and Kubernetes.

Leads a software engineering squad developing fintech services for invoice ingestion, funder allocation, settlement, and supplier onboarding. Defines technical tasks and architecture, reviews code and designs, maintains testing and quality standards, and ensures production-ready Kubernetes deployments. Facilitates Agile ceremonies, manages delivery risks, coordinates DevOps improvements, and mentors or line-manages 4–8 developers. The role requires strong Java and cloud-native engineering expertise, with Scala or Python experience and knowledge of Angular.

Own the technical management of the Anaplan platform, including integrations, data pipelines, monitoring, access management, security, incident resolution, and release coordination. Build and maintain integrations using Anaplan tooling, REST APIs, Azure services, and enterprise systems. Support migration to a Databricks Lakehouse, ensure data quality, document operational procedures, and improve automation and observability while collaborating with IT and business planning teams.

Lead site reliability engineering for critical applications across on-premises and Azure environments. Responsibilities include production troubleshooting, root cause and performance analysis, observability using monitoring and log platforms, PowerShell and Python automation, IIS administration, incident management, postmortems, reliability improvement, and mentoring junior SREs. The role also requires collaboration across departments and maintaining robust, scalable application environments.

Leads end-to-end quality assurance and automation for cloud-native, microservices-based telecommunications systems. Responsibilities include designing test strategies, architecting scalable automation frameworks, translating requirements into test plans, validating subsystem integration and system performance, identifying quality risks, troubleshooting defects, and mentoring engineering teams. The role also advances AI-assisted and agentic testing capabilities while collaborating with customers, product managers, architects, and developers.

Designs and maintains scalable cloud infrastructure for cloud-native applications. Develops CI/CD pipelines, infrastructure-as-code, observability, monitoring, and automation solutions. Leads incident response, troubleshooting, root-cause analysis, and post-mortems while improving reliability, performance, security, and availability. Collaborates with development teams on secure, scalable application practices and supports compliance audits.

Designs and maintains scalable cloud infrastructure across GCP, AWS, and Azure; develops CI/CD pipelines; manages infrastructure as code, containers, monitoring, logging, and alerting. Leads incident response, root cause analysis, postmortems, security compliance, and operational automation. Collaborates with development teams on reliability and scalability, troubleshoots production systems, and mentors junior engineers.

Design, build, and maintain scalable cloud infrastructure and CI/CD pipelines. Monitor and optimize reliability, performance, and availability; lead incident response and root cause analysis; implement infrastructure as code and observability solutions; automate operational tasks; collaborate with development teams on secure, reliable applications; and support security compliance and audits.

Designs and maintains scalable cloud infrastructure across GCP, AWS, and Azure; builds CI/CD pipelines; manages infrastructure as code; develops observability solutions; leads incident response and root-cause analysis; automates operational tasks; optimizes reliability and performance; and supports application security, compliance, and audits.

Designs and maintains scalable cloud infrastructure across GCP, AWS, and Azure; builds CI/CD pipelines; manages infrastructure as code; develops observability solutions; monitors and optimizes reliability; leads incident response and root-cause analysis; automates operational tasks; collaborates with development teams on secure, reliable systems; ensures compliance; and mentors junior engineers.

Designs and maintains scalable cloud infrastructure across GCP, AWS, and Azure; builds CI/CD pipelines; manages infrastructure as code, containers, observability, and automation. Leads incident response, troubleshooting, root-cause analysis, and postmortems while improving system reliability, performance, availability, and security. Collaborates with development teams on cloud-native application reliability and participates in compliance audits.

Build and scale Signant Health’s internal developer platform by automating releases, creating developer tools, integrating cloud and DevOps services, and improving infrastructure security, reliability, and cost efficiency. Develop end-to-end features with Python, Node.js, and Go; support cloud-native architectures, observability, CI/CD, and infrastructure as code. Collaborate on product direction, estimate deliverables, document systems, and mentor junior engineers.

Deploys, configures, and manages cloud infrastructure and application services across customer environments. Automates deployments and alerting, troubleshoots production issues, supports high availability, controls infrastructure costs, migrates on-premises workloads to AWS or Azure, and configures monitoring systems. The role collaborates with development, release, application integration, and DevOps teams, participates in a 24x7 on-call rotation, and supports Linux and Windows environments.

Design and implement end-to-end automation frameworks and testing strategies for complex frontend and backend features. Own automation roadmaps, improve test coverage and reliability, and build functional, performance, resiliency, and security testing integrated with CI/CD. Develop AI-assisted and agentic QA workflows, scalable testing infrastructure for distributed and cloud-native systems, observability-driven validation, and predictive quality tooling. Collaborate cross-functionally with engineering, product, platform, and QA teams while mentoring other engineers.

Designs and executes manual and automated testing for optical networking systems, including DWDM, OTN, Ethernet, NBI interfaces, and system security. Develops test plans, automation frameworks, protocol-based test scenarios, and continuous testing practices. Translates requirements into qualification deliverables, evaluates microservices and containerized operating systems, tracks defects, and collaborates with cross-functional teams to prioritize testing and accelerate reliable product releases.

Designs and improves PCB load boards used with automated test equipment for semiconductor memory manufacturing. Responsibilities include circuit design and simulation, schematic capture, PCB development, testing, debugging, signal integrity analysis, lab measurements, Python scripting, documentation, engineering change control, prototype qualification, and customer issue resolution. The role works with global engineering, manufacturing, procurement, and contract manufacturing teams while applying AI-assisted tools and continuous improvement practices.

Leads the design, development, and implementation of complex software features, APIs, microservices, and front-end components. Provides technical leadership, conducts code reviews, establishes coding standards, troubleshoots production issues, and mentors engineers. Collaborates with product and design teams to deliver scalable, secure, high-performance solutions while evaluating emerging technologies and contributing hands-on to development.

Architect, build, and optimize Crunchyroll’s subscription and payments platform. Develop reliable backend services, integrate payment providers, support fraud prevention, improve performance, reduce churn, and maintain PCI compliance. Collaborate with product, design, quality, and data teams in an Agile environment while participating in on-call rotations and incident management. The role contributes to secure, scalable systems processing millions of payments.

Operate and improve customers’ managed Apache Airflow environments by troubleshooting cloud infrastructure and Kubernetes issues, responding to incidents, building monitoring and automation, supporting observability, and maintaining reliable 24/7 operations. The role is customer-facing, requiring direct issue triage, SLA ownership, documentation, product feedback, architecture contributions, and participation in on-call rotations.