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Exciting Opportunity: Linux Engineer (L3)

Are you a seasoned Linux Engineer with over 10 years of experience in an enterprise technical support environment? Join our team and bring your expertise to provide advanced technical support for global HPE customers. We're looking for someone who can apply their deep technical knowledge in Linux administration, technical security management, database management, and performance management for critical, high-risk customers. If you're passionate about solving complex technical issues and delivering superior solutions, this role is for you!

Key Responsibilities:

• Provide advanced technical support via phone, email, and remote sessions
• Reproduce, troubleshoot, and resolve issues related to Linux systems
• Perform incident, escalation, and change management independently
• Conduct proactive problem management and root cause analysis
• Apply security patches, monitor environments for compliance, and handle disaster recovery planning
• Collaborate with cross-functional teams and vendors to resolve complex technical issues
• Lead and manage projects related to Knowledge Transfer (KT), Transition, and SOP creation
• Deliver exceptional customer satisfaction and maintain high service levels

Technical Skills Required:

• Strong expertise in installing, configuring, troubleshooting, and administering all Linux flavors
• Experience with Linux vulnerability assessment and mitigation
• Knowledge of Redhat Satellite, Oracle Linux Ksplice, Cluster Services, and Oracle RAC clusters
• Familiarity with SAN technologies, HP Blade Servers, Rackmount Servers, and Virtual Connect OS
• Disaster recovery planning and DR testing experience
• Experience in routine performance analysis, capacity planning, and security audits
• Proficiency with HPE Service Guard cluster on RHEL

Non-Technical Skills:

• Excellent written and verbal communication skills
• Commitment to delivering high-quality solutions and customer satisfaction
• Ability to work independently and lead technical teams in resolving complex issues
• Strong collaboration skills with the ability to influence customers and internal stakeholders
• Experience in delivering training and mentoring team members

Eligibility & Qualifications:

• Bachelor’s degree in Engineering (or equivalent)
• 10+ years of experience in Enterprise technical support
• Certifications like RHCE, Oracle Enterprise Linux, ITIL are a plus
• Flexibility to work in a 24x7 support environment

This role is perfect for a Linux professional looking to take ownership of complex issues in a global, mission-critical environment.

🌟 Apply Now to join our team and make a significant impact in the world of enterprise Linux support!

Strong Senior Product Designer / Product Designer Profile

Mandatory (Experience 1): Must have 3+ years of hands-on Product Design experience in designing digital products, preferably in product-first or high-growth tech companies.

Mandatory (Experience 2): Must have strong end-to-end product design experience, including user research, user journey mapping, wireframing, prototyping, and final UI design for web or mobile products.

Mandatory (Experience 3): Strong expertise in User Experience (UX), Interaction Design, and Visual Design principles, with the ability to craft intuitive and scalable product experiences.

Mandatory (Experience 4): Must have hands-on experience applying user research, usability testing, behavioral analytics, and data-driven design decisions to improve product usability and customer experience.

Mandatory (Experience 5): Proven ability to work closely with Product Managers, Engineering teams, Marketing, and Business stakeholders to define product requirements, ship features, and improve user journeys.

Mandatory (Portfolio) - Must have a strong portfolio of Product Design works, showcasing detailed case studies for both UI and UX (preferably B2C or Fin-Tech projects)

Mandatory (Company): Candidates from well-known product companies, fintech, SaaS, consumer internet, or high-scale technology platforms preferred

Job Description for Digital Marketing Executive

• Contribute to the development of an overall strategy for digital marketing.
• Develop and implement digital marketing campaigns across a broad range of media (SEO, SEM, social media, email, mobile, display).
• Provide management and maintenance to the company’s owned media, such as websites, mobile apps, and CRM/email software.
• Creating engaging and relevant digital content for distribution across a variety of digital platforms.
• Campaign management for social media.
• Management of digital advertising campaigns.
• Campaign management for search engine optimization.
• Ensure that conversions, pixels, and events are tracked on the website and across various digital platforms.
• Identify market trends, the brand’s audience, and competitors, along with the entire consumer journey to increase engagement and conversion.
• To develop optimization plans, analyze data from digital marketing analytics reports, and share insights with team members.
• Share insights with the rest of the team on new technologies, emerging digital tools, and digital marketing trends.

Requirements for Digital marketing executive

The following qualifications are required if you are applying for a digital marketing executive job position:

• An undergraduate or graduate degree in marketing or a related field is required.
• Experience, ideally within the industry, in digital marketing.
• Independently handling the content.
• Efforts to lead and manage SEO/SEM, marketing databases, email campaigns, social media campaigns, and display advertising campaigns.
• Optimization of landing pages and conversion funnels.
• Multivariate and A/B testing experience.
• The digital marketing executive job role needs an understanding of ad serving tools.
• Knowledge of how to set up and optimize PPC campaigns across all major search engines.
• Having a working understanding of HTML, CSS, as well as JavaScript.

• Design the architecture of our big data platform
• Perform and oversee tasks such as writing scripts, calling APIs, web scraping, and writing SQL queries
• Design and implement data stores that support the scalable processing and storage of our high-frequency data
• Maintain our data pipeline
• Customize and oversee integration tools, warehouses, databases, and analytical systems
• Configure and provide availability for data-access tools used by all data scientists

The Job
The Architect, Machine Learning and Artificial Intelligence including Computer Vision will grow and lead a team of talented Machine Learning (ML), Computer Vision (CV) and Artificial Intelligence (AI) researchers and engineers to develop innovative machine learning algorithms, scalable ML system, and AI applications for Racetrack. This role will be focused on developing and deploying personalization and recommender system, search, experimentation, audience, and content AI solutions to drive user experience and growth.

The Daily

• Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modelling approaches to support product, engineering, content, and marketing initiatives.
• Build and lead a world-class team of ML and AI scientists and engineers.
• Be a hands-on leader to mentor the team in latest machine learning and deep learning approaches, and to introduce new technologies and processes. Single headedly manage the MVP and PoCs
• Work with ML engineers to design solution architecture and develop scalable machine learning system to accelerate learning cycle.
• Identify data science opportunities that deliver business value.
• Develop ML/AI/CV roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement.
• Hands on experience in Image processing for auto industry
• BFSI domain knowledge is a plus
• Provide thought leadership to enable ML/AI applications.
• Manage products priorities and ensure timely delivery.
• Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products.
• Prepare and present ML modelling results and analytical insights that help drive the business to senior leadership.

The Essentials

• 8 + years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
• 4 + years of managing a team of data scientists, ML and AI researchers and engineers
• Strong machine learning, deep learning, and statistical modelling expertise, such as causal inference modelling, ensembles, neural networks, reinforcement learning, NLP, and computer vision
• Advanced knowledge of SQL and experience with big data platform (AWS, Snowflake, Spark, Google Cloud etc.)
• Proficiency in machine learning and deep learning languages and platforms (Python, R, TensorFlow, Keras, PyTorch, MXNet etc.)
• Experience in deploying machine learning algorithms and advanced modelling solutions
• Experience in developing advanced analytics and ML infrastructure and system
• Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment
• Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audience
• Works effectively cross functional teams to build trusted partnership
• Working experience in digital media and entertainment industry preferred
• Experience with Agile methodologies preferred