Top Python Jobs in Hyderabad

Manage and improve the availability, reliability, security, scalability, and cost efficiency of hosted investment applications. Troubleshoot cloud infrastructure issues, participate in on-call support, automate operational processes, and implement cloud-native deployment and observability practices. The role also involves driving technical initiatives, mentoring peers, and collaborating with international teams.

Designs and executes data quality testing for end-to-end ETL/ELT pipelines. Responsibilities include source-to-target validation, reconciliation, business rule verification, SQL and Python automation, Databricks and Delta Lake testing, CI/CD integration, failure analysis, and data integrity validation. The role also evaluates emerging AI and RAG pipelines and collaborates with data engineering teams to resolve discrepancies.

Lead a software engineering team developing Windows device optimizations across hardware, firmware, operating system, services, and applications. Set technical direction and roadmap, guide complex performance, reliability, debugging, power, and telemetry initiatives, and deliver reliable solutions at scale. Hire, coach, and retain engineers while collaborating with Windows teams, OEMs, silicon vendors, hardware partners, and senior stakeholders.

Leads the design, governance, automation, and L3 support of enterprise DNS, domain management, and core network services across cloud, datacenter, and corporate environments. Manages Route 53, Microsoft DNS, BIND, DNSSEC, domain portfolios, and Active Directory-integrated DNS. Develops automation with scripting, APIs, and Infrastructure as Code, applies AI-assisted infrastructure solutions, supports hybrid-cloud networking, and establishes technical standards, documentation, and governance.

Design, build, and operate scalable systems for coding evaluations, AI-generated code analysis, data generation, and agentic development workflows. Develop execution, testing, benchmarking, and quality measurement pipelines; make architectural and operational decisions; improve developer tooling; lead projects from concept through launch; and mentor engineers while maintaining high standards for reliability, security, and maintainability.

Monitors and maintains enterprise network environments, troubleshoots outages, configures routers, switches, firewalls, and SD-WAN, and performs upgrades, tuning, capacity planning, and security configuration. Documents incidents, provides performance reporting, supports network design projects, and collaborates with IT teams to optimize infrastructure. The role requires shift and on-call availability, strong analytical skills, customer focus, and experience with Cisco networking, wireless systems, routing protocols, monitoring platforms, automation scripting, and ticketing tools.

Build and improve CI/CD pipelines, release automation, deployment workflows, infrastructure-as-code, and DevOps tooling. Triage pipeline issues, automate manual processes, maintain documentation and runbooks, support data center infrastructure, and improve platform security through hardening and credential management. Collaborate with globally distributed SRE and development teams, providing primary DevOps support during India business hours and coordinating handoffs to U.S.-based teams.

Lead the architecture, automation, operation, and scaling of database platforms across AWS and on-premises environments. Build infrastructure-as-code, self-service tooling, schema migration workflows, compliance controls, and reference implementations. Establish technical standards, mentor engineers, collaborate across software, data, and SRE teams, support audits, and participate in a 24/7 on-call rotation.

Administer and support large-scale cloud and on-premises monitoring deployments across multiple providers. Maintain performance, availability, capacity, permissions, upgrades, and audit compliance. Integrate applications and infrastructure with enterprise monitoring instrumentation, document operational processes, collaborate with technical teams, and mentor colleagues on observability practices. The role requires expertise in monitoring platforms, application performance monitoring, synthetics, end-user experience, infrastructure monitoring, distributed tracing, cloud services, scripting, SQL, and multiple operating systems.

Design, build, maintain, and support scalable backend services for custodial and execution accounts across digital asset businesses. Collaborate on system architecture, deliver features, optimize performance and reliability, automate workflows, and own production services end to end, including deployment, monitoring, troubleshooting, and support.

Develop software and data warehousing solutions supporting fraud detection and identity proofing. The role involves Java, Python, SQL, Snowflake, Yugabyte, ETL/ELT, cloud deployment, containerization, continuous integration, automated deployments, event-based systems, and structured and unstructured data stores. Responsibilities support AWS-based customer protection technology and may involve Docker, Kubernetes, Jenkins, Kafka, Terraform, and related data platforms.

Develops and supports cloud-based data solutions using AWS services, Python, PL/SQL, ETL, PostgreSQL, and PySpark. Responsibilities include data migration and ingestion, analytical problem-solving, debugging, API integration, and potentially Power BI support. The role requires strong cloud engineering experience and familiarity with AWS S3, Glue, Lambda, and IAM roles.

Designs and operates large-scale network automation and infrastructure-as-code platforms in a 24/7 SaaS environment. Responsibilities include building CI/CD pipelines, Network-as-Code and GitOps workflows, SDN and Kubernetes networking, routing and overlay infrastructure, automated security policies, telemetry, validation, and remediation. Serves as a senior technical authority for complex network issues while leading engineering standards, design reviews, mentoring, and cross-functional initiatives.

Build and productionize customer-facing data and AI solutions on Databricks. Own architecture, design, implementation, deployment, and technical delivery of scalable systems spanning data engineering, machine learning, AI models, pipelines, and applications. Guide enterprise customers, collaborate with engineering and product teams, resolve implementation issues, document solutions, and create reusable accelerators. The role requires customer immersion, stakeholder management, technical project delivery, and approximately 20% travel.

Leads reliability for Zenoti’s non-database cloud platform, including web applications, APIs, analytics, and reporting systems. Defines SLIs, SLOs, and error budgets; drives observability, incident response, capacity planning, performance testing, and resilient architecture. Improves CI/CD pipelines, automates operational workflows with Python and infrastructure as code, and supports Azure-based services, containers, microservices, and data pipelines. Mentors engineers, influences multiple teams, and serves as the technical subject matter expert for reliability and cloud practices.

Design, build, own, and support enterprise Workday integrations across HCM, Payroll, Finance, Security, and related systems. Lead requirements, architecture, development, testing, releases, monitoring, incident response, documentation, and stakeholder communications. Improve reliability, data quality, compliance, and operational processes while evaluating new Workday features, automation, AI-assisted development, and intelligent observability. Partner with HR, Finance, IT, Security, vendors, and implementation teams on global rollouts, acquisitions, process changes, and ongoing production support.

Test insurance and reinsurance risk-modeling software in an agile environment. Responsibilities include analyzing requirements, creating and executing test plans, automating test cases, debugging issues, maintaining acceptance and regression repositories, documenting defects and test artifacts, tracking results, communicating status, supporting product and development teams, improving QA processes, and training new hires.

Build and operate scalable datacenter and hybrid-cloud infrastructure platforms. Automate VM, hypervisor, DNS, PKI, NTP, logging, observability, and COTS tool lifecycle management using Terraform, Ansible, GitOps, and CI/CD. Develop monitoring, security, compliance, and certificate-management capabilities while applying SRE principles. Collaborate with network, security, and application teams to deliver reliable core infrastructure services.

Leads ASIC design-for-test implementation for Cisco Silicon One networking chips. Defines DFT architecture, scan insertion, ATPG, MBIST, JTAG, verification strategies, reusable infrastructure, and timing constraints. Coordinates with RTL, physical design, verification, CAD, vendors, and ATE teams through implementation, signoff, post-silicon validation, and debug. Supports timing closure, gate-level simulation, pattern translation, and production readiness while driving DFT methodology and technical direction across complex ASIC projects.

Designs, develops, and supports enterprise integrations across cloud and on-premises applications using Azure Integration Services. Responsibilities include building Logic Apps, APIs, messaging workflows, middleware, and event-driven architectures; managing API lifecycles; automating deployments; monitoring platforms; resolving incidents; optimizing performance and costs; and maintaining technical documentation and integration standards.

Designs and maintains automated test frameworks for F5’s Distributed Cloud platform. The role validates distributed systems across multi-cloud environments, performs functional, performance, scalability, and reliability testing, tracks defects, and investigates production issues. Responsibilities include creating test plans, participating in design and code reviews, collaborating cross-functionally, mentoring junior QA engineers, and promoting automation and quality best practices throughout the development lifecycle.

Designs and maintains automated test frameworks and suites for a distributed cloud platform. Tests complex systems across multi-cloud environments, including performance, scalability, reliability, APIs, and microservices. Documents and tracks defects, creates test plans, participates in design and code reviews, investigates production issues, and mentors junior QA engineers while promoting quality assurance best practices.

Founding technical leader for NetDocuments’ first Developer Experience team. Defines architecture, tooling, platform strategy, technical standards, and developer productivity metrics while remaining hands-on. Partners with product and distributed engineering teams, recruits and mentors senior engineers, leads cross-team initiatives, and builds scalable internal developer platforms, CI/CD systems, and infrastructure tooling.

Build complex internal developer tooling, CI/CD systems, and platform capabilities as the primary hands-on engineer. Drive projects end to end, influence architecture, make pragmatic technical tradeoffs, mentor engineers, conduct code and design reviews, participate in senior hiring, and establish engineering standards across distributed teams. The role requires occasional travel to the US for collaboration with engineering leadership.

Designs, develops, and maintains automated tests for web applications, APIs, and end-to-end workflows. Executes functional, regression, integration, and API testing; integrates automation with Jenkins and CI/CD pipelines; analyzes results and defects; builds reusable frameworks; and collaborates with cross-functional teams to improve quality and test coverage.