In Side Sales Executive

Job Description: Principal Engineer (Full Stack Architect)

Job Title: Full Stack Architect

Location: Hyderabad, India

Experience: 15Years to 20 years (4+ years in Enterprise Architecture)

Technology Stack: MERN (MongoDB, Express, React, Node.js), Distributed Systems, Cloud (GCP/Azure), Neo4j, Vector Databases, SQL and NoSQL Databases, Knowledge Graphs.

Industry: Enterprise Software, Large-Scale Distributed Systems, Machine Learning

Job Summary

As a Full Stack Architect, you will play a pivotal role in designing and architecting large-scale distributed systems with a strong focus on the MERN stack (MongoDB, Express.js, React, Node.js). You will lead the design and implementation of enterprise-grade software solutions that leverage cloud infrastructure (GCP/Azure), knowledge graphs (Neo4j), vector databases, and machine learning at scale. In this role, you will work closely with cross-functional teams including data scientists, cloud engineers, and front-end developers to deliver high-performance, secure, and scalable applications.

This role requires a deep understanding of distributed systems architecture, graph databases, machine learning systems, and cloud computing, with a strong focus on building solutions that meet business and technical needs. The ideal candidate will have 12+ years of experience with a proven track record of architecting full-stack systems and leading engineering teams in a fast-paced, innovative environment.

Roles and Responsibilities

Full Stack Architecture: Design, develop, and maintain highly scalable, distributed, and fault-tolerant enterprise applications using the MERN stack (MongoDB, Express.js,

React, Node.js).

Distributed Systems: Architect and design large-scale distributed systems that handle high- volume, low-latency data processing.

Cloud Engineering: Implement and maintain cloud infrastructure solutions on GCP or AWS,ensuring high availability, scalability, and performance.

Knowledge Graphs and Databases: Design and optimize complex data models using Neo4j, vector databases, and other NoSQL solutions to manage interconnected data efficiently.

Enterprise Solutions: Architect and deliver cloud-native enterprise software solutions that meet enterprise-grade security, compliance, and performance requirements.

Data Structure & Algorithms (DSA): Lead by example in writing efficient, high-performance code and optimize software with a strong focus on algorithms, data structures, and system design principles.

Collaboration: Work with engineering, data science, and product teams to translate business requirements into scalable technical solutions.

Mentorship: Mentor junior engineers and foster a collaborative team environment.

Performance Optimization: Ensure system performance, scalability, and reliability throughcode reviews, optimizations, and best engineering practices.

Documentation & Best Practices: Maintain comprehensive architecture documentation and promote engineering best practices across teams.

Mandatory Requirements

Experience: 12+ years of full-stack development experience, with significant expertise

in building and architecting applications using the MERN stack (MongoDB, Express.js,

React, Node.js).

 Distributed Systems: Proven track record of architecting and implementing large-scale

distributed systems with a focus on reliability, scalability, and performance.

 Cloud Expertise: Extensive hands-on experience with cloud infrastructure (GCP or AWS),

with a deep understanding of cloud services such as compute, storage, networking, and

security.

 Database Systems: Expertise in NoSQL databases like MongoDB and graph databases like

Neo4j. Experience with vector databases for high-dimensional data processing.

 Knowledge Graphs: Hands-on experience in designing and working with knowledge graphs

for solving complex data relationships.

 Data Structures & Algorithms: Strong knowledge of DSA with practical experience in

solving complex technical challenges.

 Microservices Architecture: Experience in designing and developing microservices-based

architectures and ensuring high availability.

 DevOps ; Automation: Knowledge of DevOps practices (CI/CD), containerization (Docker), and orchestration (Kubernetes).

 Agile Methodologies: Experience with Agile development methodologies, including SCRUM, TDD, and iterative development.

Nice-to-Have Requirements

 Front-End Expertise: Advanced experience with React.js, with knowledge of modern front- end technologies (Next.js, Redux, TypeScript).

 Cloud Certifications: Google Cloud Professional Architect or Azure Certified Solutions Architect certifications.

 Data Engineering: Hands-on experience with data pipelines, ETL processes, and big data technologies (e.g., Apache Spark, Kafka).

 AI/ML Ops: Experience in deploying machine learning models using MLOps frameworks and automating ML pipelines.

 Graph Analytics: Experience in graph algorithms and analytics, with the ability to model and query complex relationships in a graph database.

 System Design: Experience in conducting system design reviews, providing insights into performance bottlenecks, scalability, and trade-offs.

 Security & Compliance: Knowledge of enterprise-level security protocols and data privacy compliance frameworks (e.g., SOC2, GDPR).

Leadership: Proven experience in leading cross-functional teams, setting technical roadmaps, and ensuring alignment between business and technical goals.

Responsibilities:

• Lead simultaneous development for multiple business verticals.
• Design & develop highly scalable, reliable, secure, and fault-tolerant systems.
• Ensure that exceptional standards are maintained in all aspects of engineering.
• Collaborate with other engineering teams to learn and share best practices.
• Take ownership of technical performance metrics and strive actively to improve them.
• Mentors junior members of the team and contributes to code reviews.

Requirements:

• A passion to solve tough engineering/data challenges.
• Be well versed with cloud computing platforms AWS/GCP
• Experience with SQL technologies (MySQL, PostgreSQL)
• Experience working with NoSQL technologies (MongoDB, ElasticSearch)
• Excellent Programming skills in Python/Java/GoLang
• Big Data streaming services (Kinesis, Kafka, RabbitMQ)
• Distributed cache systems(Redis, Memcache)
• Advanced data solutions(BigQuery, RedShift, DynamoDB, Cassandra)
• Automated testing frameworks and CI/CD pipelines Infrastructure orchestration(Docker/Kubernetes/Nginx)
• Cloud-native tech like Lambda, ASG, CDN, ELB, SNS/SQS, S3 Route53 SES

7+ years of experience of Workday HCM configuration across 4+ Workday modules and 5+ deployments

Key responsibilities

• Lead design/requirements workshops
• Highly confident in configuring workday with the ability to utilise Workday Community where necessary
• Highly confident in building accurate estimates for Workday configuration work
• Approve effort estimates of more junior consultants
• High level of understanding of how business utilise HR technology to their advantage
• Directly manage a team of consultants based in India
• Manage customer escalations around direct reports work
• Support in building the CloudRock team based in Indian through being an advocate for CloudRock and a leadership figure
• Support and mentor junior resource based in India/Portugal/UK
• Full understanding of the Workday deployment methodology
• Achieve a high level of utilisation
• Be consultative in their customer approach

LogiNext is looking for a technically savvy and passionate Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities:

Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Requirements:

Bachelors degree or higher in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Commerce, Engineering, Business Management, Marketing or related field from top-tier school 2 to 3 year experince in in data mining, data modeling, and reporting. Understading of SaaS based products and services. Understanding of machine-learning and operations research Experience of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen and problem-solving aptitude Excellent communication and presentation skills Proficiency in Excel for data management and manipulation Experience in statistical modeling techniques and data wrangling Able to work independently and set goals keeping business objectives in mind

Perks and benefits

We are looking for a “Street Smart” Media sales executive 

• Understand KreedOn’s advertising opportunities to build relevant brand solutions for our advertisers and deliver the highest level of sales.
• Reaching out to and building relationship with all the major Digital Ad Agencies & Ad- Networks
• Prospect, penetrate and create new relationships with clients and advertising agencies.
• Will be responsible to map clients and generate business for all properties that can be monetized on KreedOn platform.
• Understand the value of KreedOn's products and pricing as well as competitive offerings and articulate KreedOn’s benefits in a manner meaningful to the customer.
• Job would require researching Relevant customers, Cold calling them for meetings, understanding their goals, propose solutions and close sales
• Should be proficient in creating sales pipelines, manage and lead everything from lead generation to client servicing.
• Should be proficient in verbal and written communication which includes creating formal sales presentations, writing high-conversion emails and other communication tasks.
• Should have deep understanding of display sales models, web-based native content sales, Brand Solutions sales and digital product sales including SaaS solutions.
• Should have deep understanding of the advertising ecosystem and should be well networked with various digital advertising agencies, Brand managers and key planners PAN India.
• Work closely with the editorial, marketing and technology team of KreedOn to build brand solutions.
• The candidate will closely work with the core team to develop the market but will be expected to manage the planning and development of existing accounts and nurturing new accounts and closing sales opportunities independently.
• Should be familiar with CRM tools like hubspot . All the sales need to be managed through company CRM.
• High work ethics , Remote work ready and deliver results working remotely

Expected Qualities :

• 3 years of minimum experience in Brand solutioning and Digital Media Sales (Digital Content Sales/Banner Ads/Sponsorships and other digital product) with an excellent track record.
• Established network and contacts with Digital Ad Agencies , Sports Industry
• Go-getter attitude with an inclusive mind and positive outlook
• Committed, self motivated, goal oriented & focused on delivering results
• Good interpersonal skills and an awesome team player.
• Should be able to craft and execute a vision with creativity and style.
• Self-starter who is comfortable with both taking initiative and working in collaboration.

Are you looking for a UI/UX Designer role in a high growth startup? Are you eager to learn and make a difference at work every day? If so, then read on.

At PlumQR, we work on revolutionizing the Food & Beverage industry with our cloud-based tech products. Millions of businesses across the world are switching for better, smarter & more hygienic products to reinvent their businesses. If you have what it takes to innovate & lead, we have just the right opportunity for you.

Requirements

• At least two years of experience as a UX/UI designer
• Possess advanced knowledge of Sketch and are proficient in Adobe Suite
• Passionate about the work you do and are open to feedback
• Adept at multitasking between tasks and work in a dynamic environment
• Driven by data- comfortable to analyze data and usage patterns to generate insights on how to best improve the user experience 
• Have an incredible work ethic

• Responsible for design and architecture of functional prototypes and production ready systems
• Uses open source frameworks as appropriate Django Preferred
• Develops Python and JavaScript code as necessary
• Python development to support middleware for REST API
• Communicate technical concepts with trade offs, risks, and benefits
• Evaluate and resolve product related issues

• Demonstrable experience writing clean, thoughtfully crafted Python or PHP that scales
• Strong understanding of JavaScript, HTML, and CSS3
• Good understanding of REST API's and experience in building them.
• Experience on asynchronous request handling, partial page updates, and AJAX
• Proficient understanding of cross browser compatibility issues and ways to work around such issues
• Proficient understanding of code versioning tools, such as Git / Mercurial / SVN
• Good understanding of browser rendering behaviour and performance