Warehouse & Dispatch Executive (D2C Operations)

Job Overview

We are looking for a strategic and results-driven Sales Consultant with 6–8 years of experience in consulting sales to drive business growth across the Southeast Asia (SEA) region. The ideal candidate will be responsible for building and executing a go-to-market strategy, acquiring new clients, and scaling revenue while maintaining strong profitability. This role requires a combination of strategic thinking, strong client engagement skills, and the ability to close high-value consulting deals.

Key Responsibilities

• Own and drive end-to-end sales for the Southeast Asia region
• Develop and execute a clear go-to-market (GTM) strategy aligned with business goals
• Generate annual revenue of ₹4–5 Cr with a target of ~40% profit margin
• Identify, qualify, and close new business opportunities in consulting services
• Build and maintain strong relationships with CXOs and senior stakeholders
• Collaborate with delivery and solution teams to craft compelling proposals and solutions
• Lead client presentations, negotiations, and contract closures
• Continuously track market trends, competition, and opportunities within SEA markets
• Build a strong and sustainable sales pipeline to ensure consistent growth

Required Skills & Experience

• 6–8 years of experience in consulting sales / IT services / Salesforce or enterprise solutions sales
• Proven track record of meeting or exceeding revenue targets in international markets (preferably SEA)
• Strong experience in solution selling and a consultative sales approach
• Ability to create and execute region-specific sales strategies
• Excellent communication, negotiation, and stakeholder management skills
• Experience working with cross-functional teams including delivery and pre-sales
• Self-driven, entrepreneurial mindset with a strong ownership attitude

Preferred Qualifications

• Experience selling into Southeast Asia markets (Singapore, Malaysia, Indonesia, etc.)
• Exposure to Salesforce or digital transformation consulting services
• Established network within target industries is a strong advantage

Work Requirements

• Willingness to align with SEA time zones and travel as required
• Ability to independently manage and grow a regional business

1. Design patterns- socket communication/ micro services architecture

2. Caching - REDIS MEMCACHED etc

3. Database - MONGO, SQL etc. min 2yrs experience with these.

4. Features created for large concurrent requests.

5. Node Js, Go lang any asynchronous programming language min 2 yrs exp with any one of them.

6. Message Queues - RABBIT MQ, Kafka etc.

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.

Purpose of the Role

Responsible for 100% uptime of Network with efficient and timely first support on a 24x7 basis to meet Business Goals; providing the highest level of Technology Support, Introducing and maintaining the state of the art Technology in line with the Business Strategy.

Desired Skills and Competencies

• Ability to Influence
• Customer Sensitivity
• Execution Excellence
• Functional Expertise
• Situation Handling
• Team Management
• Working Together

Role Description:

1. Work Experience: Should have work experience in Telco / ISP service Provider background
2. Should have experience in Planning and Operations of Broadband network.
3. Should Lead a Team and Manage Day to Day NOC Operation.
4. Manage Outages in the Network and Provide resolution within SLA; Handle Customer Escalation with Minimal Turnaround time.
5. Escalating Issues and Co-ordinating with vendor team on Bug fixes and Resolutions.
6. Maintain the Uptime of the network at 100%.
7. Should Monitor the Network and planning maintenance activities timely.
8. Should work on building redundancy and elimination of Point of Failures.
9. Should work on Bandwidth Management and Traffic Load Balancing Mechanism.
10. Provide backend support to cross functional teams for new provisioning and Fault Repair.
11. Should be available 24*7 for support for responding to emergency situations and planned activities.
12. Should be Responsible for Inventory Management.
13. Manage and Train NOC team, perform evaluations and hiring, and handle disciplinary responsibilities. 
14. Prepare and Maintain SOPs of critical Process; perform Process Correction on requirement basis.
15. Should analyse fault trends and plan preventive actions.
16. Should be Responsible for publishing of daily, weekly, monthly reports and statistics reports.

Technical Requirements:

1. Should have Good Knowledge of Switching and Routing.
2. Hands-on experience of BGP, MPLS, MPLS L2VPN, MPLS L3VPN, ISIS, OSPF, VLAN, DHCP, PPPoE, STP, LAN, WAN, NAT etc
3. Should have worked in Layer-2 and Layer-3 Switches, Edge Routers; preferably on Cisco and Huawei Devices.
4. Should have worked on GPON Technology and have understanding of Operation and Troubleshooting skills, hands on experience on installation and implementation of OLTs and ONTs.
5. Should have worked on NMS Tools and have understanding of SNMP Protocol.
6. Should have understanding of BNG workings principles, RADIUS and Diameter protocols.
7. Should have Good understanding of Fiber Technology.
8. Should have understanding of Wireless Technologies such as 802.1b/g/n, 802.11ac, should be able to configure WIFI routers and debug issues.
9. Must have done BE/B.Tech or equivalent in Computer Engineering/Electronics & Communication Engineering/Electronics & Electrical Engineering
10. CCNA/CCNP Certification is Preferred.

• Design AWS data ingestion frameworks and pipelines based on the specific needs driven by the Product Owners and user stories…
• Experience building Data Lake using AWS and Hands-on experience in S3, EKS, ECS, AWS Glue, AWS KMS, AWS Firehose, EMR
• Experience Apache Spark Programming with Databricks
• Experience working on NoSQL Databases such as Cassandra, HBase, and Elastic Search
• Hands on experience with leveraging CI/CD to rapidly build & test application code
• Expertise in Data governance and Data Quality
• Experience working with PCI Data and working with data scientists is a plus
• At least 4+ years of experience in the following Big Data frameworks: File Format (Parquet, AVRO, ORC), Resource Management, Distributed Processing and RDBMS
• 5+ years of experience on designing and developing Data Pipelines for Data Ingestion or Transformation using AWS technologies

Job Overview

                         We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations.  They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document.

Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Creating automated anomaly detection systems and constant tracking of its performance
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Secure and manage when needed GPU cluster resources for events
• Write comprehensive internal feedback reports and find opportunities for improvements
• Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.

Skills and Qualifications

• Strong Hands-on experience in Python Programming
• Working experience with Computer Vision models - Object Detection Model, Image Classification
• Good experience in feature extraction, feature selection techniques and transfer learning
• Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
• Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
• Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
• Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
• Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
• Exposure to OpenCV Familiarity with GPUs + CUDA
• Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
• We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
• Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.