Big Data Engineer

Male candidates only. This position is based out of Bommasandra, Bangalore.

Core Responsibilities

Strategic Planning: Develop and execute integrated sales and marketing plans for EMC Products, Resistors, Heating elements and other products in company product line-up to meet defined revenue targets.

Lead Generation & Prospecting: Independently source new business opportunities

Campaign Management: Design, implement, and monitor marketing campaigns

Client Relationship Management: Maintain a portfolio of existing accounts, ensuring high customer satisfaction and identifying opportunities for upselling or cross-selling.

Market Intelligence: Conduct regular competitor analysis and research market trends to adjust pricing strategies and product positioning.

Sales Presentations: Deliver persuasive, tailored product demonstrations and proposals to high-ticket decision-makers (CEOs, CFOs, etc.).

Performance Analytics: Track and report on KPIs such as lead conversion rates, demo-to-close ratios, and ROI of marketing spend using CRM and analytics tools. 

Being in update ongoing & upcoming defence projects and finding opportunities with DRDOs, PSUs (BEL,BEML,ECIL,HAL,HVF,etc), Other defence equipment manufacturing companies to Pitch our products for their application.

Key Skills & Qualifications (2026 Standards)

Education: Bachelor’s degree in Engineer (Electrical, Electronics, Communication) , or MBA

Experience: 2 to 3 years of proven success in a B2B or B2C sales/marketing environment.

Technical Proficiency: Hands-on experience with CRM software, MS Office, Etc

Preference will be given for candidates with Defence product background.

Soft Skills

Consultative Selling: Shifting from "presenting" to problem-solving and acting as a trusted advisor.

Negotiation: Proven ability to handle complex objections and close high-value deals.

Adaptability: Ability to quickly pivot strategies based on shifting consumer behaviours and algorithm updates. 

1. Curriculum Development: Collaborate with Academic Advisory Committee and Marketing team members to design and develop comprehensive curriculum for data science programs at undergraduate and graduate levels. Ensure alignment with industry trends, emerging technologies, and best practices in data science education.
2. Faculty Recruitment and Development: Lead the recruitment, selection, and development of faculty members with expertise in data science. Provide mentorship, support, and professional development opportunities to faculty to enhance teaching effectiveness and academic performance.
3. Quality Assurance: Establish and maintain robust mechanisms for quality assurance and academic oversight. Implement assessment strategies, evaluation criteria, and continuous improvement processes to ensure the delivery of high-quality education and student outcomes.
4. Student Engagement: Foster a culture of student engagement, innovation, and success. Develop initiatives to support student learning, retention, and career readiness in the field of data science. Provide academic counselling and support services to students as needed.
5. Industry Collaboration: Collaborate with industry partners, employers, and professional organizations to enhance experiential learning opportunities, internships, and job placement prospects for students. Organize industry events, guest lectures, and networking opportunities to facilitate knowledge exchange and industry engagement.
6. Research and Innovation: Encourage research and innovation in data science education. Facilitate faculty research projects, interdisciplinary collaborations, and scholarly activities to advance knowledge and contribute to the academic community.

Budget Management: Develop and manage the academic budget in collaboration with the finance department. Ensure efficient allocation of resources to support academic programs, faculty development, and student services.

At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production -- a concept we call “liquid software.” Wouldn't it be amazing if you could join us in our journey?

JFrog is searching for an experienced Automation Development Engineer, to boost up our growing QA automation platforms, working on automation and infrastructure development. In this role, you will be developing and maintaining Developers and QA automation platforms, including test execution, bug detection and load testing.  

As a Senior Automation Engineer in JFrog you will... 

• Develop and implement tools for automated testing (Linux Shell, Java/Groovy, Docker, Kubernetes)
• Take essential part in the development cycles, in order to deliver high quality products
• Closely interact with developers and support, regarding customer issues
• Investigate software issues as a result of testing

To be a Senior Automation Engineer in JFrog you need…

• 5+ years experience in automation development in OO language
• Experience with CI/CD tools like Jenkins, Shippable, TravisCI or similar
• Deep understanding in Docker
• Experience in writing automation tests for applications in Linux/Unix environments
• Bug detection abilities and good analysis to root cause detection
• Analytical approach for troubleshooting and problem solving
• Self-learner and independent executor

Rules & Responsibilities:

• Design, implement and maintain all AWS infrastructure and services within a managed service environment
• Should be able to work on 24 X 7 shifts for support of infrastructure.
• Design, Deploy and maintain enterprise class security, network and systems management applications within an AWS environment
• Design and implement availability, scalability, and performance plans for the AWS managed service environment
• Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability and security
• Manage the production deployment and deployment automation
• Implement process and quality improvements through task automation
• Institute infrastructure as code, security automation and automation or routine maintenance tasks
• Experience with containerization and orchestration tools like docker, Kubernetes
• Build, Deploy and Manage Kubernetes clusters thru automation
• Create and deliver knowledge sharing presentations and documentation for support teams
• Learning on the job and explore new technologies with little supervision
• Work effectively with onsite/offshore teams

Qualifications:

• Must have Bachelor's degree in Computer Science or related field and 4+ years of experience in IT
• Experience in designing, implementing, and maintaining all AWS infrastructure and services
• Design and implement availability, scalability, and performance plans for the AWS managed service environment
• Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability, and security
• Hands-on technical expertise in Security Architecture, automation, integration, and deployment
• Familiarity with compliance & security standards across the enterprise IT landscape
• Extensive experience with Kubernetes and AWS(IAM, Route53, SSM, S3, EFS, EBS, ELB, Lambda, CloudWatch, CloudTrail, SQS, SNS, RDS, Cloud Formation, DynamoDB)
• Solid understanding of AWS IAM Roles and Policies
• Solid Linux experience with a focus on web (Apache Tomcat/Nginx)
• Experience with automation/configuration management using Terraform\Chef\Ansible or similar.
• Understanding of protocols/technologies like Microservices, HTTP/HTTPS, SSL/TLS, LDAP, JDBC, SQL, HTML
• Experience in managing and working with the offshore teams
• Familiarity with CI/CD systems such as Jenkins, GitLab CI
• Scripting experience (Python, Bash, etc.)
• AWS, Kubernetes Certification is preferred
• Ability to work with and influence Engineering teams

• Strong understanding of HTML, CSS, CSS preprocessors, JavaScript, Object-oriented programming (OOPS), Design patterns, Web principles, and UI Libraries like Bootstrap.

• Strong skills in JavaScript frameworks and libraries (React).  

• Understanding of UX research and design processes.

• Expert in REST web services.

• Understanding of providing optimum web performance.

• Experience using repositories, build & deploy tools like git and Jenkins.

• Experienced with modern JavaScript coding, testing, debugging, and automation techniques

• Experience in unit test formation and understanding of jest enzyme and snapshot testing.

• Experience with popular React.js workflows (such as Flux or Redux)

• Demonstrable experience with React State management - Redux-Saga and popular React.js workflows

• Experience with data structure libraries (e.g., Immutable.js)

• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.

• Excellent knowledge of React hooks.