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As a Network Engineer at Propel, you will play a vital role in designing, implementing, and maintaining our network infrastructure to ensure optimal performance, security, and scalability. You will work closely with cross-functional teams to develop and support network solutions that align with business objectives and industry best practices.
Responsibilities
• Design, implement, and maintain network infrastructure, including LAN, WAN, and wireless networks, Site to Site and Client to Site VPN to support business operations and growth.
• Develop and implement network security strategies, including firewall policies, intrusion detection and Prevention (IDS/IPS), access control and CCTV systems, to safeguard company data and resources.
• Configure, troubleshoot, and optimize network devices such as routers, switches, firewalls, High availability, L3/L2/PoE Switches and load balancers, QoS.
• Configure VLan and segregate access between different teams
• Perform hardware troubleshoot such as port failure, system crash, hardware failure etc.,
• Design and implement patch panels and cabling
• Monitor network performance and ensure system availability and reliability. Identify areas for improvement, implementing network optimization and redundancy solutions as needed.
• Perform network maintenance and system upgrades including service packs, patches, hot fixes and security configurations
• Collaborate with other IT teams to evaluate and recommend networking solutions for application and infrastructure projects.
• Implement security tools, policies, and procedures in conjunction with the company’s security team
• Perform network maintenance and system upgrades including service packs, patches, hot fixes, firmware and security configurations
• Monitor system resource utilization, trending, and capacity planning
• Work within established configuration and change management policies to ensure awareness, approval and success of changes made to the network infrastructure.
• Monitor network performance on the availability, utilization, throughput, jitter and latency and test for weaknesses.
• Perform Vulnerability assessment Pen testing at network level and mitigate issues
• Create and maintain network documentation, diagrams, and configurations.
• Knowledge of common security vulnerabilities and OWASP vulnerabilities
• Provide support for critical network incidents on shift basis to support 24x7 model on need basis.
• Exploring automations to integrate for managing networks and provide timely network alerts
• Use ticketing system to document requests, track changes, and explain resolutions
Requirements:
• Bachelor's degree in computer science, Engineering, or a related field.
• 4+ years of experience as a Network Engineer or similar role, with a focus on implementing and managing complex network environments.
• Deep understanding of networking protocols, such as DNS, DHCP, CIDR, IPSEC TCP/IP, BGP, OSPF, and MPLS.
• Proficiency with network hardware, including routers, switches, firewalls, and load balancers from vendors like Fortinet, Cisco etc.,
• Strong knowledge of network security best practices and technologies, such as firewalls, VPNs, and intrusion detection systems.
• Experience with network monitoring and management tools
• Excellent troubleshooting and problem-solving skills and a commitment to continuous improvement.
• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, agile environment.
Nice-to-Have:
• Relevant networking certifications, such as CCNP, CCIE, JNCIP, or JNCIE.
• Experience with software-defined networking (SDN) and network automation technologies, such as Ansible, Python, or REST APIs.
Others:
• Common application/ web security and OWASP vulnerabilities
• Encryption algorithms to protect sensitive information
• PII, PCI, HIPPA, and GDPR compliance and how to implement
• Finding the vulnerabilities of the third-party components/ libraries
• Understanding security breaches of data-in-transit and data-at-rest and its implementation
Job Title: Technical Lead / Project Manager
Location: Indore /Chennai
Experience: 6–12 Years
Key Responsibilities:
- Lead and mentor development teams through all phases of the software development lifecycle.
- Act as the main point of contact for clients; manage communication, expectations, and satisfaction.
- Define project scope, objectives, timelines, and deliverables in collaboration with stakeholders.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 6+ years of experience in software development, with at least 2+ years in a leadership/project management role.
- Strong technical background in web and/or mobile technologies (e.g., JavaScript, React, Node.js, PHP, Python, iOS/Android).
About the Position:
We are looking to hire a highly motivated, well-spoken Key Account Manager who can help EasyEcom in key account management and customer retention. As a Key Account Manager, your daily job would involve developing relationships with clients and ensuring their expectations are being met.
About EasyEcom:
EasyEcom is an industry-leading omnichannel order & warehouse management solution for e-commerce businesses and multichannel retailers like Epigamia, Mondelez International, My Glamm, Borosil, Prestige, etc. We are persistently growing, from a few hundred clients to over 7000+ global clients, a handful of dedicated team members to 160+ members strong team, and being VC funded, we are continuing to expand over and beyond!
Roles & Responsibilities:
● Developing strong relationships between key clients and companies.
● Resolving key clients' issues and complaints promptly
● Understanding the business needs of key accounts, and providing them with an effective solution.
● Managing communication between the key accounts and internal teams (Support Team, Sales Team, Tech Team).
● Upselling to key accounts presenting reports on account progress, and sharing future goals with other team members.
Requirements:
● Candidates with a bachelor's in technology or business are preferred.
● A minimum of 2+ years of experience in account management.
● Excellent communication skills and listening skills.
● Fluency in both English and Tamil.
● Should be able to quickly get a thorough understanding of the company's product.
● Should be able to multitask and manage time effectively.
● Should have strong interpersonal relationship skills.
● Ability to understand the company’s key clients and their position in the industry.
Company Name : LMES Academy Private Limited
Website : https://lmes.in/
Linkedin : https://www.linkedin.com/company/lmes-academy/mycompany/
Role : Animator
Experience: 1 Year to 4 Years
Location: Pallavaram, Chennai, Tamil Nadu.
Job Overview:
We're looking for a Animator who is good at creating great user interfaces to join our friendly team in Chennai. If you have more than a year of experience and are good at talking with people and taking the lead, we'd like to talk to you. As an animator's job involves using artistic and technical skills to create moving images that tell stories, convey emotions, or communicate ideas. Whether working in film, television, video games, advertising, or other industries, animators bring characters, environments, and objects to life through various animation techniques.
*Requirements* :
✅Conceptualizing ideas
✅Creating character sketches
✅Develop storyboards for animation projects
✅Design elements of the animated environment
✅Creating animations on voice over briefs
✅Recording dialogue for the animation, where necessary
✅Collaborate with other creative teams
Location: Chennai
Education: BE/BTech
Experience: Minimum 3+ years of experience as a Data Scientist/Data Engineer
Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI
Requirements:
- To be part of Digital Manufacturing and Industrie 4.0 projects across client group of companies
- Design and develop AI//ML models to be deployed across factories
- Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required
- Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks
- Prior experience in developing AI and ML models is required
- Experience with data from the Manufacturing Industry would be a plus
Roles and Responsibilities:
- Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics
- Multitasking, good communication necessary
- Entrepreneurial attitude
Additional Information:
- Travel: Must be willing to travel on shorter duration within India and abroad
- Job Location: Chennai
- Reporting to: Team Leader, Energy Management System
Technical Skills Required – Mandatory:
- Cloud Technologies – AWS OR Bigdata (Basic Level)
- Python (Highly Experience Level)
- Databases – SQL (Highly Experience Level)
- Operating Systems – Unix (Highly Experience Level)
Strong knowledge in writing complex SQL queries and Knowledge of Performance Tuning
Excellent working knowledge of production support role and Strong debug/troubleshooting skills
Provide 24×7 operational support to all production practices on holidays and weekends.
Hands-on experience in production support for data engineering processes, root cause analysis, and identifying opportunities to improve existing processes.
Roles and Responsibilities:
Set up and optimize the existing integration, monitoring and alerting processes.
Working knowledge of ETL/ELT in Hadoop, Spark and MPP databases is required.
Effectively collaborate with the partners (SMEs, DBA, and Business users) to ensure the reliability of the Data systems.
Must have extensive and in-depth knowledge and experience in developing APIs in NodeJS, HTML5/CSS/Javascript, MongoDB, Git, production application deployments. And optionally ReactJS Components/Websites/UI/UX, Redux etc.
Cloud infra management
AWS SDK, Google Maps SDK
Elastic Search engine
Mocha or any testing framework
Continuous delivery
Redis, ExpressJS, Apollo Client, PubSub
Responsibilities
Development of web applications and modules
Drafting ReactJS front ends components based on provided mock-ups.
Architecting database and REST/GraphQL APIs for front end.
Integrating multiple 3rd party SDKs including but not limited to AWS, Messagebird, Twilio, Lalamove, Google Maps etc.
Write and execute unit tests
Bug fixes, support and enhancements
UAT and Production deployments
Performance optimizations and app security implementations
Cloud infra management
Backup plans and risk mitigation techniques implementation
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- We are looking for a candidate with 5+ years of experience in a Data Engineer role, 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 relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.







