Top Python Jobs in Hyderabad

Build, support, and test large-scale AWS cloud-native applications using Java and Apache NiFi to integrate data across AWS services. Own secure SDLC and CI/CD practices, implement microservices/serverless/event-driven architectures, and collaborate with stakeholders to deliver high-quality software.

Design, develop, and maintain scalable, high-performance applications on the LivePerson platform. Collaborate with product, design, QA, and engineering teams to implement features, integrate third-party APIs, troubleshoot production issues, participate in code reviews, and contribute to architecture and test automation. Stay current with emerging technologies and support reliable releases in an agile environment.

Senior software engineer responsible for developing cloud-based solutions using AWS services (S3, Lambda, RDS, DMS, Kinesis, EC2), Python scripting, and SQL/Oracle PL/SQL. Role requires strong debugging and analytical skills and working knowledge of Agile methodologies. Nice-to-have experience includes CloudFormation, Glue, Step Functions, data migration, microservices, ETL tools, and Java REST web services.

Join the STO team to improve observability, scalability, stability and security of a SaaS platform. Support ITIL processes, define runbooks, triage incidents to meet SLAs, maintain live services, troubleshoot root causes, work with IaC and CI/CD, collaborate cross-functionally, report performance metrics, and participate in on-call rotation.

Design, build, automate, and operate global cloud and hybrid network platforms across 20+ AWS regions. Own AWS/Azure networking, hybrid connectivity, routing/BGP, SD‑WAN integration, Terraform IaC, automation, AIOps, incident response, and mentor engineers.

Early-career TechOps role in Binance Accelerator Program focused on observability, automation, and AIOps foundations. Build dashboards, alerts, runbooks, automate repetitive support tasks, perform RCAs, prototype lightweight agents/skills, and improve incident management workflows. Hands-on with logging/metrics/traces, basic MLOps concepts, and support-driven product improvements.

Early-career DevOps role focusing on Kubernetes and AWS operations, embedding security into the development lifecycle, automating processes, and implementing CI/CD solutions. Remote, fixed-term accelerator program for students and recent graduates.

Early-career Performance Engineer in the Binance Accelerator Program. Perform hands-on performance testing and tuning, design AI-powered test strategies using LLMs and ML, build AI-driven anomaly detection and bottleneck analysis tools, research new AI technologies, and improve reliability of large-scale distributed systems.

Design, scale, and maintain cloud infrastructure for core products; improve observability and alerting; participate in on-call rotations and lead incident response with RCAs; modernize CI/CD and automation; support product teams on architecture and reliability best practices; implement security and compliance controls.

Lead design and implementation of network-as-code and large-scale SDN/container networking. Build CI/CD pipelines, automate security and traffic policies, validate network state, troubleshoot complex routing and overlay issues, and drive technical strategy and documentation across global, multi-tenant cloud and bare-metal environments.

Design, build, and support full‑stack business applications for a global CRO. Develop front‑ and back‑end components, databases, and APIs; ensure responsiveness, security, testing, QA/UAT, documentation, deployments, vendor escalation, and high customer satisfaction while collaborating across geographies.

Lead development of iJTAG (IEEE 1687) based test solutions and DFT methodologies (scan, BIST, hierarchical access). Build AI/ML features for pattern compaction, failure prediction, and root-cause analysis. Develop scalable automation frameworks in Python/C++ and streamline workflows using Tcl/Perl/Shell. Create APIs and pipelines for large-scale ingestion of ATE logs and STIL/WGL patterns, and produce data processing and visualization dashboards.

Design, deploy, and scale AWS cloud infrastructure; optimize Kubernetes clusters and serverless workloads; build and improve CI/CD pipelines; implement monitoring, logging, and security best practices; lead multi-quarter infrastructure projects and mentor junior engineers to drive reliability and automation.

Design and implement high-performance Go services for large-scale edge appliances. Build reliable content distribution, synchronization, and fault-tolerant systems across a 10K+ fleet. Optimize disk I/O, storage, and large-file transfers; integrate with AWS (S3, EC2, CloudFront, CloudWatch). Develop automation, observability, and CI/CD tooling; debug production distributed environments and ensure remote operability and resilience under intermittent connectivity and hardware variability.

Develop iJTAG (IEEE 1687) based test solutions and DFT methodologies (scan, BIST, hierarchical access). Build AI/ML features for pattern compaction and failure analysis, create automation frameworks and scripts (Python/C++/Tcl/Perl/Shell), and build APIs/pipelines for large-scale ATE data ingestion (STIL/WGL) and visualization dashboards. Collaborate in fast-paced, team-oriented environment and escalate critical issues.

Lead development of iJTAG (IEEE 1687) test solutions and DFT methodologies (scan, BIST, hierarchical access). Build ML features for pattern compaction, failure prediction, and root-cause analysis. Develop scalable automation frameworks in Python/C++, streamline workflows with Tcl/Perl/Shell, and create APIs/pipelines for large-scale ATE log and pattern ingestion, processing, and visualization.

As a Software Engineer in Test, you will develop and maintain test automation frameworks, conduct manual and automated testing, collaborate with teams to resolve defects, and streamline automation processes within Agile teams.

Design, deploy, and operate large-scale distributed systems; manage Kubernetes, Istio, and Linux environments; automate workflows with Go/Python/shell; build observability with Prometheus/Grafana/Loki; troubleshoot networking, storage, and performance; participate in on-call rotations and postmortems; collaborate with AI/ML teams to ensure infrastructure readiness for model training and data pipelines.

The Senior Software Engineer will build and enhance products, design APIs, mentor junior engineers, and collaborate across teams to improve the patient experience.

The Senior Software Engineer - SRE will design and operate scalable AWS infrastructure, manage Kubernetes platforms, optimize CI/CD systems, and enhance operational reliability through automation and observability.

The role involves utilizing your coding skills to guide team members and develop solutions for client challenges, enhancing overall success.

The Associate Staff Engineer will leverage their coding knowledge and collaborate with teammates to solve client challenges and enhance solutions.

The Staff Engineer, Python will leverage tech knowledge to guide teams, solve client challenges, and enhance solutions for significant impact.

Develop, debug, and maintain Python 3 code for serverless AWS services (Lambda, S3, SQS, SAM). Build HTTP APIs and event-driven systems, work with relational databases, use CI/CD, Git/GitHub, Jira/Confluence, and apply TDD/BDD while collaborating with remote teams across time zones.

The role involves developing AI-driven solutions for financial document automation, focusing on NLP and LLM technologies to enhance productivity and system intelligence.