Top Python Jobs in Bengaluru
The Technology Lead - DevOps Engineer at Broadridge will lead the design and development of Terraform modules for AWS and Azure, and manage compliance policies using Cloud Custodian and Checkov. They will provide technical guidance to junior team members, conduct code reviews, and collaborate with stakeholders to translate engineering requirements into technical specifications. Support for internal projects and resolving issues related to the AWS platform and tools is also part of the role.
The Senior DevOps Engineer at Stryker will ensure adherence to the IT DEVOPS and delivery model and standards, work on complex problems, demonstrate ownership and leadership, and have hands-on experience in developing scripts and testing Linux-based applications.
We are seeking a Lead Software Engineer to develop a data automation solution. Responsibilities include designing APIs, implementing a business rule engine, maintaining code quality, and collaborating with team members in an Agile environment, specifically within the healthcare data automation space.
As a DevOps Engineer at Zoom, you'll build and support monitoring tools, ensure uptime for Zoom products, implement disaster recovery, troubleshoot production issues, and provide CI/CD solutions for deployment. Active involvement in managing infrastructure and working closely with engineering teams is essential.
The Software Engineer role involves building and scaling data pipelines, processing and ingesting large datasets, and developing ETL processes. Collaboration with various stakeholders to ensure data integrity and delivering insights is key.
The Verification Engineering Sr. Technical Analyst will be responsible for testing telecom products and working in Linux/Unix environments. They will utilize cloud platforms, scripts in shell, Perl, or Python, and in-depth knowledge of telecom protocols, primarily SIP and SS7, as well as IP networking technologies.
This role involves maintaining and deploying Linux OS images for Point Of Sale applications, enhancing system capabilities, and developing monitoring infrastructure. You will work with scripting languages and various software tools while collaborating with tech experts to meet business and security requirements.
The Staff Data Engineer role at Oportun involves providing technical leadership, mentoring the data engineering team, designing complex data architectures, developing data pipelines, optimizing databases, and ensuring scalability and performance to meet business objectives.
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The Embedded Software Quality Test Engineer will develop, execute, and automate functional test plans for security firmware, ensuring validation of software functionality related to secure boot and cryptographic functions. The role involves interaction with development teams to resolve issues and optimize product designs.
The role involves designing, developing, testing, and delivering software solutions in a healthcare setting. Engineers collaborate with stakeholders to ensure software meets business and customer needs, utilizing best practices. Responsibilities include debugging, analyzing issues, and mentoring junior team members.
Design and develop automated test frameworks for Lidar functionalities, validate DSP algorithms, create detailed test plans and regression suites, and participate in team processes such as documentation and code reviews.
The Senior Project Engineer will manage technical aspects and project delivery for SCADA/EMS/GMS/ADMS projects. Responsibilities include design, planning, integration, testing, commissioning, and documentation of hardware and software requirements based on project specifications, along with customer training on OSI products.
As a Full Stack Developer at Lilly, you will partner with IT teams to develop new applications and modernize existing ones, utilizing AWS technologies, frontend frameworks like React and jQuery, and languages such as Python and Node.js. You will create reusable design patterns, research new technologies, and ensure secure coding practices are followed in your projects.
As a Data Scientist III at Intuit Credit Karma, you'll identify opportunities to enhance data utilization for financial services, optimize machine learning models, collaborate with marketing and engineering on model adoption, and explore advanced data science techniques in personal finance. The role focuses on leveraging large-scale models within a growing data science team to support financial products.
As a Senior Software Engineer, you will develop and support a user-facing SaaS product using Golang and OpenShift. Responsibilities include creating solutions for system reliability, security, and scalability, working with CI/CD pipelines, and participating in the broader tech community through blogging and speaking engagements.
As a Senior Software Engineer, you will be responsible for building and supporting a user-facing SaaS product on Red Hat OpenShift. The role involves developing secure and scalable distributed systems, writing new software, automating deployments, and contributing to design and testing while collaborating with teams to ensure system reliability and prevent outages.
JLL is seeking a Senior Data Engineer to work in a fast-paced environment, designing and developing data solutions for the Commercial Real Estate business. Responsibilities include developing data pipelines, optimizing system performance, implementing data architecture best practices, collaborating with data scientists, and ensuring data integrity.
As a Junior Software Engineer, you'll assist in developing and maintaining enterprise applications for global clients. Responsibilities include designing and testing code, improving systems, supporting projects throughout the Software Development Lifecycle (SDLC), and collaborating with the development team while gaining valuable experience.
As a Principal Firmware Engineer, you will design, implement, and validate embedded control systems while sustaining legacy firmware. You will collaborate with engineering groups and assist in product feature implementation using Model Based Design methodologies, while also performing failure analysis and debugging.
The Automations and Integrations Engineer will write custom automation code using a proprietary language, build integrations between Unifize and third-party applications like SAP or Salesforce, and maintain documentation for standardized automatisms. The role also entails monitoring automation performance and adapting configurations as needed. It's a collaborative role requiring communication with customers and internal teams.
The Graduate Software Developer role involves developing and maintaining performance-sensitive and scalable back-end systems for trading infrastructure. Projects may focus on Python, C++, or front-end technologies like React. The position offers opportunities for continuous learning in a collaborative environment.
The Assistant Software Engineer will develop, implement, and maintain automated test plans for LED drivers and lighting control devices, perform hardware product validation, troubleshoot issues, and work with cross-functional teams to enhance product quality.
The Software Engineer will be responsible for developing large new areas within data management software, handling the entire product lifecycle, and ensuring high reliability of system software. This role demands experience with AI infrastructure at scale and solid Python knowledge. Multi-tasking and quick adaptation to new technologies are essential.
Lead the implementation of Site Reliability Engineering practices at Maersk, focusing on systems reliability and performance. Oversee various platforms, manage Azure Cloud infrastructure, deploy Kubernetes, and enhance applications through observability and automation. Provide technical leadership and collaborate across teams to improve reliability and efficiency.
As a Data Engineer at Maersk, you will drive digital transformation by working within product teams, leveraging a wide range of data technologies. You will engage with product managers and data scientists to deliver impactful solutions, focusing on data engineering best practices and collaboration within a high-paced environment.
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