Top Tech Jobs & Startup Jobs in Bengaluru, KA

Leads software development projects, gathers requirements, manages project integration, writes code, corrects defects, supervises team, and oversees external contractors. Ensures quality software that meets expectations.

Bachelor's Degree in Computer Science or related field required. Strong hands-on expertise in .Net, .Net Core, Azure Cloud, and building distributed scalable products using micro-services architecture. Experience in Azure PaaS services, RESTful APIs, and MS SQL. Familiarity with agile development methods and tools. Strong communication skills essential.

Lead Software Engineer responsible for understanding and creating solution documents, developing product knowledge in Salesforce Marketing Cloud and Data Cloud, providing technical consultation, implementing complex development activities, and driving quality assurance tests. Must have 7+ years of experience with strong consulting skills and expertise in Salesforce Marketing technologies.

Designs and develops IT architecture solutions in alignment with enterprise standards and strategies. Takes responsibility for technical planning, architecture development, and specification modification. Specializations in Enterprise, Infrastructure, Mobile, Web, Data, and Applications.

Recognized expertise in UI/UX Development, Angular, Node.js, and Microsoft Azure tools. Strong problem-solving and design skills with experience in distributed teams and Agile environments. Responsible for creating and maintaining highly reusable and responsive JavaScript, HTML, and CSS code. Promotes design guidelines and accessibility compliance.

Responsible for directing and monitoring technology operations, supporting hardware, providing service desk support, enabling application development teams, and maintaining production procedures. Acts as a project coordinator and advises on organizational and procedural plans.

Demonstrates use and application of data science principles, methods, theories, and concepts to assignments. Provides solutions to problems by collecting and analyzing data from diverse sources. Identifies and explores novel approaches to data science solutions. Contributes to the refinement and deployment of data science solutions.