Top Python Jobs in Bengaluru
The Senior Developer - Detection Automation will collaborate with security and detection teams to create and optimize automated detection pipelines for cybersecurity products. Responsibilities include developing scalable microservices, using test-driven development for secure code, and building critical data services while continuously learning new technologies.
As a Principal Developer at Arctic Wolf, you'll provide technical direction for teams, lead development projects, mentor R&D leaders, and engage in high-level decision-making regarding detection development. You'll utilize your extensive knowledge in security systems to create effective solutions and influence organizational goals, while also serving as a subject matter expert.
The Principal Data Engineer will architect and develop scalable data solutions, create robust ETL pipelines, and engage in the software development lifecycle. Responsibilities include mentoring junior members, defining efficient data models, and collaborating with stakeholders to analyze and resolve complex problems.
The Senior Software Engineer - DevOps will analyze requirements, design solutions, write maintainable code, and execute tests. They will work on software architecture, distributed systems, coding standards, and assist in automation while ensuring security policies and non-functional requirements are met.
As a Senior Software Engineer at Walmart, you will develop and optimize systems for enterprise learning solutions, ensuring operational metrics align with SRE principles. Responsibilities include working with observability tools, designing resilient systems, and building infrastructure at scale. You will provide scalable applications, work with containerization, engage in CI/CD processes, and ensure system reliability.
As an Azure Data Engineer, you will innovate and maintain technology services for Fortune clients. Responsibilities include software development, team management, and engaging in all phases of SDLC to deliver complex technology projects while utilizing Microsoft Azure components and various programming and database technologies.
The Sr. Site Reliability Engineer in Engineering Stack Support will improve system availability and performance, collaborate on feature development, and manage infrastructure health metrics. They will troubleshoot Unix/Linux systems, engage in networking, and participate in 24x7 on-call rotations, requiring extensive experience in application stack and cloud management.
As an SRE at RingCentral, you will maintain uptime and availability of services, improve monitoring solutions, design redundancy mechanisms, conduct risk assessments, and respond to incidents. You will collaborate with development and operations teams to enhance reliability and performance in a cloud-based environment.
As a Senior QA Engineer at MariaDB, you will develop and maintain automated testing scenarios, collaborate with developers to identify bugs, and support release protocols to ensure quality assurance in software development.
As a Staff SDET at Everbridge Engineering, you will design, develop, and maintain test cases/scripts, drive quality best practices, and lead automation initiatives. Collaborate with cross-functional teams and stay updated on industry trends to enhance testing methodologies and tools.
As a Software Engineer I, you'll collaborate closely with product managers, designers, and engineers to build innovative solutions for clients. You'll develop user-facing features, implement bug fixes, and ensure operational excellence in a distributed remote team environment.
The Data Engineer III will design and develop data-driven frameworks and applications, focusing on cloud migration and data solutions. Responsibilities include full software lifecycle participation, product feature analysis, and maintaining technology understanding to help innovate data applications.
As a Software Engineer, you will be responsible for developing and maintaining data pipelines, transforming the product into a scalable web application, and ensuring high-quality software across applications. You will work closely with various teams throughout the product lifecycle.
The Advanced Data Analytics Engineer will design and develop scalable data pipelines, integrate and manage data from multiple sources, and optimize analytics tools for business insights. This role involves collaboration with data scientists and business analysts, focusing on advanced analytics solutions and ensuring data integrity and quality.
The Lead Software Engineer will design, develop, and maintain software applications and data pipelines for the core Analytics team. Responsibilities include delivering features, writing documentation, reviewing designs, implementing monitoring, and debugging issues. The position requires strong programming skills and the ability to work independently in a distributed team environment.
The Senior Site Reliability Engineer is responsible for designing and implementing scalable systems, optimizing performance and reliability, managing incidents, and providing technical leadership. They will use various tools for monitoring and observability, educate teams on SRE principles, and improve production environments.
As a DevOps Engineer at GoTo, you will solve problems faced by developers using productivity tools, develop scripts to enhance tool functionality, manage critical services, support tools like Jira and Jenkins, and contribute ideas to improve developer productivity.
The Lead Engineer will oversee the design and development of software applications, ensuring adherence to coding standards, mentoring juniors, and collaborating with teams to define project scope. Responsibilities include code reviews, process improvements, troubleshooting, and documenting technical designs. This role requires a strong background in full-stack development and emerging technologies.
As a Senior Software Engineer at Alpaca, you will be responsible for building their algo trading platform, focusing on high performance and quality for users. Your role involves designing and architecting systems, writing code, and making critical engineering decisions, requiring expertise in frontend, backend, and distributed systems, particularly for trading and exchange systems.
The Senior Software Engineer at Alpaca is responsible for leading the engineering efforts for crypto exchanges, including architecture and implementation of a high-performance perpetual futures exchange. The role involves building various systems for trading, compliance, and risk management, ensuring software quality, and taking part in code reviews and troubleshooting incidents.
As a Senior Software Engineer at Alpaca, you will be responsible for building and scaling systems for identity verification, risk management, and account management. You will work on a global platform and contribute to designing scalable and reliable systems. This role requires strong problem-solving skills, proactive mindset, and excellent communication abilities.
Responsible for architecting, designing, and developing new solutions, enhancing existing solutions, providing technical leadership, and mentoring junior developers in a software engineering role at Allegion.
As a Cloud Developer, you will enhance application reliability and performance through automation, CI/CD processes, and production engineering support. You will work with customers and product teams to build automated solutions leveraging cloud technologies, perform cost optimization, and handle on-call support as needed.
As a DevOps Engineer at DeGate, you will ensure the performance and availability of cloud infrastructures, deploy and operate Docker/Rancher clusters, maintain blockchain nodes, optimize CI/CD workflows, and monitor incidents across the system, all while continuously learning to enhance system security and scalability.
As a Machine Learning Engineer at Pythian, you will focus on building and optimizing machine learning pipelines, deploying models to production, ensuring scalability and reliability, integrating machine learning models, and collaborating with cross-functional teams. Responsibilities include designing and maintaining ML pipelines, deploying models, optimizing performance, integrating with cloud platforms, implementing monitoring systems, and staying updated on ML advancements.
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