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Top Engineering Jobs in Bengaluru
As the Chapter Lead for Payments Systems, you will lead engineering teams to build end-to-end data-centric solutions, develop ETL strategies, and ensure adherence to technical standards. With a focus on automation and CI/CD pipeline management, you will enhance engineering outcomes and client relationships.
The role involves building and monitoring large-scale data pipelines, transforming data using DBT, and collaborating with the data platform team to solve customer issues using advanced SQL and big data solutions.
The role involves coding and programming enhancements and changes for systems software. Responsibilities include executing test plans, debugging issues, and collaborating with software systems engineers and development partners to create effective solutions for moderately complex products.
The Senior Engineering Manager will lead the development and implementation of innovative software solutions focusing on cloud technologies. Responsibilities include overseeing multiple engineering teams, ensuring solution craftsmanship and security, and promoting a diverse and inclusive workplace. The role involves managing day-to-day engineering activities and translating complex requirements into actionable plans.
The Software Engineering Manager at Spreetail will lead and develop teams to drive business outcomes, ensuring engagement and accountability among engineers while fostering an environment of growth and knowledge sharing. Responsibilities include performance management, technical mentoring, and overseeing operational standards within a fully remote setting.
The Sr. Manager of Data Engineering leads a team to build robust data engineering applications, prioritizing quality, scalability, and collaboration. The role involves overseeing technical deliveries, participating in solution design, and fostering an engineering culture of creativity and innovation. Responsibilities include hiring, mentoring engineers, and ensuring adherence to best practices in architecture and CI/CD.
The Senior Manager, Data Engineering is responsible for designing, developing, and maintaining data infrastructure and solutions. This role involves collaborating with cross-functional teams to create reports, dashboards, and data strategies that enhance decision-making and operational efficiency, while ensuring data quality and governance.
The MuleSoft Developer will design and develop integration solutions using the Anypoint Platform, ensuring project alignment with business goals. Responsibilities include creating integration architecture, collaborating with various IT functions, advising on scalability and performance, along with applying best practices in API development.
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The role involves leading a team in building Alteryx's analytics cloud execution layer. Responsibilities include project management, mentoring engineers, collaborating across teams, and contributing to system design and project execution.
The Engineering Manager will lead the development and launch of a technology product, working closely with engineering, product, and design teams to deliver high-quality features. Responsibilities include mentoring the engineering team, participating in the hiring process, and shaping team culture.
The Senior Manager will lead an engineering team to enhance AI and ML services, focusing on chatbot solutions and ML Ops. Responsibilities include collaborating on AI strategy, overseeing feature delivery, ensuring service reliability, and fostering a high-performing team environment.
As an Engineering Manager at Headout, you will lead a product engineering team, design and build core application modules, collaborate with multiple teams to launch new features, mentor engineers, and implement scalable processes to enhance user experience. You will also address complex architectural challenges and contribute to the strategic direction of your team.
Senior Engineering Manager responsible for leading a team of engineers in building distributed microservices, attracting top engineering talent, implementing effective engineering processes, providing guidance to managers, evaluating architecture choices, driving infrastructure improvements, defining product roadmap, and demonstrating excellent communication skills.
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.
As an Engineering Manager, you will lead a team focusing on enhancing the scalability, performance, and reliability of HashiCorp's cloud products. Responsibilities include identifying performance bottlenecks, managing testing strategies, and advocating solutions to operational challenges, ensuring high availability and resilience in the system.
As an Engineering Manager, you will lead a team focused on improving the scalability and reliability of HashiCorp's cloud products. Your responsibilities include identifying performance bottlenecks, implementing performance testing strategies, and ensuring infrastructure supports future growth through innovative solutions and collaboration across teams.
As a member of the Attendance Mobile Engineering Team, you will lead the design and development of mobile applications with React Native, ensuring scalability and performance. You'll collaborate with cross-functional teams, mentor junior engineers, and contribute to strategic mobile solutions that enhance user experience and operational efficiency for a global workforce.
As a Senior Software Engineer at Gojek, you will build and manage a scalable messaging platform, enhance code quality, and support developers by improving infrastructure. You will collaborate across teams, sharing expertise in distributed systems and maintaining high-quality design through continuous improvement.
SeekOut is looking for a Senior Software Engineer to lead the design of major software components, build high scale infrastructure and APIs, provide technical leadership, and work closely with cross-functional teams to deliver features. The ideal candidate will have 6-8 years of software engineering experience, expertise in C# or Java, and experience with cloud platforms like Azure, AWS, or GCP.
The VP of Engineering will lead the engineering organization, ensuring the development of scalable, high-quality AI products. Responsibilities include overseeing technical roadmaps, collaborating with cross-functional teams, mentoring engineering leaders, optimizing processes, and driving innovation in AI and SaaS solutions while managing budgets and recruitment efforts.
The Senior Engineering Manager leads a team of full stack engineers to develop innovative robotics solutions, overseeing code development and production management. They collaborate with product owners to enhance user satisfaction and drive product success, requiring strong technical leadership and effective communication skills.
As a Software Engineer at Saviynt, you will develop enterprise identity cloud solutions, participate in requirements analysis, test and deploy applications, refactor and debug code, and maintain existing services while utilizing agile methodologies.
As a Verification Engineer on the SoC Development Team, you will develop test plans and benches for complex ASICs, collaborate with various teams, run gate-level simulations, and ensure functional coverage goals are met, driving innovations in data storage technologies.
As a Lead Data Engineer, you'll design, develop, and automate scalable data engineering products. You'll optimize data processes, implement data ingestion frameworks, and leverage machine learning to enhance solutions. Additionally, you will mentor junior team members, collaborate with stakeholders, and ensure data visualization standards are maintained for effective analytics-driven decision making.
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