Top Python Jobs in Hyderabad, TG
At Coinbase, our mission is to increase economic freedom by building the future of finance and Web3. As a Senior Engineering Manager in the Platform Product Group, you will lead frontend and backend engineers to develop features, services, and infrastructure across web, mobile, and backend.
Veeva Systems is seeking a Senior Software Engineer - Test Automation - Mobile to contribute to the delivery of mission-critical Vault applications using cutting-edge technologies. Responsibilities include creating automation test plans, API and mobile automation, and technical mentorship. Preferred skills include knowledge of mobile automation frameworks, CI/CD tools, and experience in Swift, Kotlin, Espresso, and XCUITest.
Design, develop, test, release, and maintain components of Zenoti. Collaborate with a team to release features and work in an agile environment. Build scalable software and handle millions of records and terabytes of data. Release new features monthly and gather feedback from customers for refinement.
The Quality Assurance Automation Lead 1 will be responsible for supporting the automation testing strategy, implementing and maintaining test automation, providing strategic guidance, and mentoring team members. This role involves coordinating with project teams, integrating automation into the CI/CD pipeline, and ensuring adherence to automation standards.
As a Senior Full Stack Engineer at Alpaca, you will be responsible for designing and implementing web applications, working closely with cross-functional teams, delivering high-visibility features, and mentoring junior developers. You will have the opportunity to contribute to the technical strategy of the company and push the boundaries of technology.
Design and develop features on the cloud data plane, perform deep inspection of traffic, analyze content in real-time, work on features like DLP and Threat protection, and build sophisticated key management algorithms for Netskope's Secure Web Gateway team.
Design, develop, and analyze features for the cloud data plane. Utilize advanced data structures and algorithms in C, C++, and Python to optimize performance. Conduct deep inspection of traffic to detect and mitigate threats in near real-time. Collaborate with cross-functional teams to deliver high-quality software solutions.
Seeking a motivated ADAS Simulation Engineer with 0-4 years of experience to develop simulation scenarios, collaborate with teams, integrate algorithms, and maintain simulation models. Requires a degree in relevant fields, hands-on experience with ADAS simulation tools, and familiarity with programming languages like Python, MATLAB, and C++. Strong analytical skills and eagerness to learn new technologies are essential.
Seeking a motivated ADAS Simulation Engineer to develop and test cases in ADAS space. Will work with industry experts to gain hands-on experience in autonomous driving. Responsibilities include developing simulation scenarios, collaborating with teams, integrating algorithms, and documenting processes.
Looking for an experienced Snowflake Engineer to design, implement, and maintain Snowflake data warehouse. Manage a team of data engineers and ensure successful project delivery. Collaborate with stakeholders and optimize data processing.
Lead Snowflake Engineer responsible for designing, implementing, and maintaining Snowflake data warehouse. Manage a team of data engineers and ensure successful delivery of projects. Strong expertise in Snowflake architecture, design, and optimization required.
Blend is seeking a Software Engineer to develop and maintain web applications, manage data integrations, and provide IT support. The ideal candidate will have 4+ years of experience in full-stack development, RESTful and SOAP API integration, and proficiency with tools like Workato.
Seeking a dynamic and experienced Data Engineering Manager to lead a team of data engineers in designing, developing, and implementing data pipelines. Must have expertise in Hadoop, Python, Scala, Spark, SQL, DBT, Airflow, and Big Data solutions.
Maintain and extend data science pipelines in AWS, focusing on infrastructure as code. Provide guidance to data scientists, research optimization opportunities, and collaborate on project improvements. Minimum 5 years DevOps experience in AWS Cloud with at least 2 MLOps projects using Sagemaker. Must have expertise in MLOps best practices, CloudFormation scripts, Python, Docker image building, and experience with AWS services and Github.
Join our Data Engineering team to develop innovative data solutions using leading technologies like Python, Scala, Java, SQL, Hadoop, Spark, AWS, Azure, and GCP. Collaborate with stakeholders to optimize data infrastructure for performance and reliability. Bachelor's degree in Computer Science or related field and 5+ years of experience required.
Lead all Crypto related engineering including spot and derivatives exchanges. Architect, implement, and maintain systems for Alpaca Crypto. Design and build high-performance matching engine, regulatory reporting, banking integrations, and more. Remote position reporting to Head of Crypto initially and CTO later.
Genesys is looking for a Software Engineer to contribute to the development of AI-powered experience orchestration platforms. Responsibilities include building core conversational AI capabilities, collaborating with cross-functional teams, and solving technical challenges.
The Lead / Senior Software Engineer at Franklin Templeton is responsible for designing, developing, and maintaining scalable investment platforms using Python and related technologies. The role involves working closely with cross-functional teams, optimizing database performance, implementing APIs, and staying updated with emerging technologies to enhance the platform. Qualifications include a Bachelor's degree in Computer Science, 7-14 years of experience in backend development using Python, proficiency in database management, experience with API design, and familiarity with gRPC and JSON/RPC protocols.
As a Technical Lead in Hyderabad, responsible for building a scalable big data platform, leading technical aspects, managing technical talents, staying up-to-date on technology, and contributing to the culture of the company.
Design and develop test scenarios, execute test plans, generate detailed test reports, collaborate with cross-functional teams, adapt testing practices, suggest QA process enhancements, develop automated tests, stay updated with software testing trends, manage multiple priorities, mentor junior team members, conduct root cause analysis.
As a RTL Integration (Frontend) Engineer at EdgeCortix, you will be responsible for integrating IP into ASSP/SOC and other third-party IP, as well as playing a key role in verification infrastructure development, automation, and improvement.
Develop, improve, and execute test cases and test automation for qualifying software releases and AI/ML IP. Troubleshoot software/hardware/infrastructure issues, collaborate with other teams, and maintain QA infrastructure. Minimum qualifications include 5-10 years of testing experience, proficiency in Python, exposure to embedded software/hardware testing, and familiarity with Linux, Docker, Kubernetes, Git, Jenkins, Groovy.
Seeking an experienced Senior Test Engineer to join the cloud product engineering team in developing enterprise-level cloud products with a focus on quality, security, and performance. Responsibilities include software development, test automation, CI/CD activities, and ensuring product quality and reliability. Requirements include 4-10 years of experience, coding skills in C#, Python, or JavaScript, automation framework experience, UI and API testing skills, and familiarity with Agile and DevSecOps methodologies.
Versatile Backend developer with proficiency in Web frameworks like Ruby on Rails, Elixir/Phoenix, and/or Django/Python. Responsibilities include designing, architecting, and developing complex enterprise software and SaaS web applications. Mentoring team members and collaborating closely with designers, engineers, founders, and product managers.
Responsible for technical development of cloud-first data engineering solutions to support data product and AI teams. Collaborate in a team environment to build data pipelines and optimize solutions for performance and cost efficiency.
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