Top Python Jobs in Bengaluru
The Principal Backend Engineer will design and maintain a cloud-based SaaS platform, focusing on scalable backend systems. Responsibilities include leading architecture, collaborating with cross-functional teams, developing code in Java and Python, and mentoring junior engineers. A strong commitment to high-quality standards and recent technical trends is essential.
The Sr. Site Reliability Engineer at Zeta will be responsible for ensuring system reliability, developing automation tools, responding to incidents, capacity planning, performance optimization, implementing Infrastructure as Code practices, and maintaining monitoring and logging solutions. The role involves collaboration with security teams, disaster recovery planning, and continuous improvement of system resilience.
Develop and implement machine learning models for improving business processes and outcomes. Responsible for the full ML stack of the product.
The Site Reliability Engineer will ensure system reliability by designing and maintaining scalable infrastructure, develop automation tools, monitor performance, respond to incidents, and optimize system performance.
Senior Site Reliability Engineer at Zeta, responsible for monitoring application performance, analyzing systems, providing support, developing and maintaining monitoring systems, automating tasks, resolving incidents, and implementing automation scripts. Requires 4-6 years of sysadmin experience, proficiency in Unix, Python, and Go programming, cloud management expertise, and experience with MySQL or PostgresQL.
Lead the design and development of Omni-channel AI chatbots using low-code platforms. Oversee a team in optimizing user interactions and translating banking intents into conversational flows. Develop prompts, optimize LLM responses, and write functions in Python/JavaScript for integration.
The Senior Technical Lead, QA (5G RAN) will create and execute detailed test plans for 5G NR functionalities, utilizing test tools to build test setups, validate test cases, debug system logs, and identify improvements in testing processes. This role requires in-depth knowledge of 3GPP standards and RAN protocols, alongside hands-on experience with various wireless test tools and scripting for automation.
Liaise with banks and product teams to understand and solve banking technology use cases, prioritize feature backlogs, identify constraints, and document solutions. Work on a Next-Gen Banking Tech platform at Zeta.
As a Staff Software Engineer at Orkes, you will develop production-grade code, focusing on Java and Spring Boot to enhance software services. Responsibilities include collaborating with teams on software design and implementation, mentoring junior engineers, conducting code reviews, and maintaining high standards in software quality and scalability.
Senior Solutions Architect at Orkes, responsible for guiding the technical evaluation phase in a hands-on environment throughout the sales process. Focus on helping customers achieve data-driven outcomes using Orkes Enterprise Cloud. Engage in architectural vision, identify use cases, and address challenges in various market segments.
Lead a team of passionate software engineers to build highly scalable and fault-tolerant platform services supporting thousands of customers' data pipelines. Drive on-time product delivery, adoption of engineering best practices, and product strategy. Scale and grow the organization, attract top talent, and drive process improvements for operational efficiency. Be hands-on in technical architecture and code contributions to ensure success of critical product lines.
Work as an SDE II at Hevo, contributing to maintainable and efficient components/systems, resolving performance issues, improving code quality and structure, and maintaining documentation. Requires strong object-oriented design skills, experience with multithreaded applications, knowledge of system performance trade-offs, and proficiency in Java/Python.
The Staff DevOps role involves managing cloud infrastructure with a focus on deployment and automation using GCP and Kubernetes. Responsibilities include setting up support for applications, automating testing and releases, troubleshooting, and coaching team members in deployment technologies.
The Senior DevOps Engineer will support and automate application deployments, collaborating with teams to improve infrastructure processes. Responsibilities include troubleshooting issues, developing specifications, and coaching team members. The role requires strong problem-solving abilities and expertise in cloud technologies.
Design, develop, and maintain automation frameworks for iOS, Android, and web applications. Write clean code in Swift, Kotlin, Java, JavaScript, or Python. Implement automated tests using Appium, XCUITest, Espresso, Selenium, and WebDriver. Collaborate with teams to optimize automation strategies and tools.
Design and maintain automation frameworks for iOS, Android, and web applications. Write clean and efficient code, implement automated tests, and optimize performance. Collaborate with cross-functional teams to drive automation initiatives forward.
Implement highly scalable, high throughput systems using Golang and other modern programming languages. Influence technology selection for the enterprise and work closely with engineering teams to design and implement solutions. No direct report responsibilities. Must have 4+ years of cloud infrastructure experience and experience in cloud application backend programming.
The Software Engineer will design and manage data pipelines and Big data processing solutions, using ETL technologies while collaborating to assemble complex data sets. The role involves building interactive tools and data models to enhance business insights and performance. Responsibilities include research and prototyping of new technologies.
The role involves designing, developing, and maintaining automation test suites for large-scale distributed systems, performing various tests, implementing CI/CD frameworks, and mentoring junior SDETs. The position requires strong collaboration with development teams to ensure comprehensive test coverage and staying updated on industry trends.
Design, develop, and deploy scalable distributed systems. Build backend systems to support internal workflows, analytical tools for data pipeline, and tools to improve engineering productivity. Assist stakeholders with technical issues, monitor system performance, and stay updated with distributed systems technologies. Ideal candidate should have 8+ years of experience, strong knowledge in microservices and systems design, proficiency in Java, Spring Boot, Python, databases, Restful APIs, Docker, Kubernetes, AWS, performance optimization, and backend security principles.
Design and develop high-quality web applications leveraging AiDash platform, play a key role in designing and implementing new products and features, drive product roadmap, and rapidly learn new technologies to improve usability and performance.
Lead and mentor a team of software engineers, define technical vision and roadmap, own software development lifecycle, champion best practices and innovation, collaborate with cross-functional teams, communicate effectively
Design, develop, and deploy scalable distributed systems, build backend systems supported by automated pipelines and ML models, implement analytical tools for data insights, work with stakeholders and assist with technical issues, refactor services for improved efficiency, build tools for engineering productivity, evolve architecture, monitor system performance and resource utilization, stay updated with distributed systems technologies.
The AI Engineer will develop and deploy Generative AI models for healthcare, focusing on system design and MLOps pipelines. Responsibilities include mentoring team members, creating monitoring systems for ML models, and leading the technical roadmap.
The Sr. Staff Data Engineer will design and implement data systems for audience engagement analysis. Responsibilities include architecting identity data products, conducting architectural reviews, developing data pipelines, and mentoring team members on data engineering practices.
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