E-commerce Lead

We are seeking a dynamic, creative, and result-oriented Digital Marketing Executive to manage and execute the company’s digital marketing initiatives. The ideal candidate will be responsible for planning, implementing, and optimizing marketing campaigns across various digital platforms to enhance brand visibility, generate quality leads, and support overall business growth.

The role requires a strong understanding of digital marketing tools, content creation, SEO strategies, social media management, and marketing analytics. The candidate should be proactive, analytical, and capable of managing multiple marketing activities independently while collaborating with internal teams.

Key Responsibilities

Digital Marketing Strategy

• Develop, plan, and implement comprehensive digital marketing strategies aligned with the company’s business objectives.
• Identify new digital marketing opportunities to increase brand awareness, website traffic, and lead generation.
• Monitor industry trends and competitor activities to optimize marketing strategies.

Social Media Management

• Manage and optimize company social media platforms including LinkedIn, Facebook, Instagram, and other relevant channels.
• Plan and execute performance-driven social media campaigns to increase engagement and brand reach.
• Create engaging posts, creatives, and campaign strategies to maintain a consistent brand presence online.

Content Creation & Marketing

• Develop, curate, and manage high-quality marketing content such as blogs, articles, case studies, newsletters, and social media posts.
• Work with design and creative teams to produce compelling visual content and marketing creatives.
• Ensure all content aligns with the company’s branding guidelines and marketing objectives.

Search Engine Optimization (SEO)

• Conduct keyword research and implement effective SEO strategies to improve website rankings and organic traffic.
• Optimize website content, landing pages, and blogs to enhance search engine visibility.
• Monitor SEO performance and suggest improvements based on analytics and search trends.

Email Marketing & Automation

• Plan and execute email marketing campaigns, newsletters, and promotional mailers.
• Manage marketing automation tools to nurture leads and maintain engagement with prospects and customers.

Campaign Performance & Analytics

• Track and analyze marketing campaign performance using digital analytics tools such as Google Analytics and social media insights.
• Generate MIS reports and present actionable insights to improve campaign performance and ROI.
• Optimize campaigns based on data-driven analysis.

Video Marketing & Creative Development

• Edit and produce high-quality videos and digital creatives for social media and marketing campaigns.
• Collaborate with internal teams to develop innovative visual content that enhances brand engagement.

Exhibition & Event Marketing

• Coordinate company participation in exhibitions, trade shows, and marketing events.
• Manage stall planning, branding materials, promotional activities, and lead management during events.
• Support post-event marketing activities and follow-up campaigns.

Cross-functional Collaboration

• Work closely with sales and internal teams to align marketing strategies with business goals and revenue targets.
• Assist in creating marketing materials and presentations to support the sales team.

Qualifications

• Bachelor’s degree in Marketing, Business Administration, or a related field.
• A Mechanical Engineering background will be an added advantage.

Data Engineer  

Overview 

We are seeking skilled Data Engineers to join our Data & Digital Twin Foundation team. You will design, build, and maintain data pipelines that power digital twin platforms, real-time operational systems, and AI/ML workloads. Working closely with data architects, simulation engineers, and ML teams, you will transform raw operational data into high-quality, governed datasets that drive intelligent decision-making. 

Our core data platform stack includes: 

Data Platform & Lakehouse 

• Databricks as the single point of truth for all data
• Realtime Data Pipelines implemented using Kafka for data ingestion.
• Databricks SQL for analytical queries 
• Unity Catalog for metadata management and governance 
• Terradata for data warehouse and business intelligence.

Stream & Event Processing 

• Apache Kafka for real-time event ingestion 
• Structured Streaming for continuous data processing 
• Delta Live Tables for declarative, quality-enforced pipelines  

Data Quality 

• Delta Live Tables expectations for data validation 
• Data profiling and anomaly detection 

Key Responsibilities 

• Design, develop, and maintain scalable data pipelines using Databricks, PySpark, and Delta Lake 
• Build real-time and batch data ingestion pipelines from diverse operational systems using high-performance Kafka data pipelines.
• Implement data transformations that serve digital twin platforms and operational analytics 
• Integrate Kafka event streams with Databricks for real-time operational state updates 
• Implement data quality checks using Delta Live Tables expectations 
• Ensure data governance compliance through Unity Catalog (lineage, access control, metadata) 
• Optimize pipeline performance, reliability, and cost efficiency 
• Write clean, well-documented, and testable code following engineering best practices 
• Collaborate with ML engineers to deliver feature-engineered datasets 
• Participate in code reviews, knowledge sharing, and continuous improvement initiatives 
• Support production data systems through monitoring, troubleshooting, and incident resolution.
• Build business data warehouse solutions using Terradata for business intelligence.

Preferred Qualifications 

• 7+ years of hands-on data engineering experience 
• Track record of building and maintaining production-grade data pipelines 
• Experience with Delta Live Tables for declarative pipeline development 
• Experience working in agile, cross-functional teams 
• Familiarity with time-series data patterns and operational data modelling 

Highly Desirable 

• Experience building data pipelines for digital twin or simulation platforms 
• Familiarity with operational state modeling for real-time systems 
• Exposure to physics-informed or time-series ML feature engineering 
• Experience working with distributed, multidisciplinary teams 
• Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus 

Location: Hyderabad, Telangana 

Department: Engineering 

Employment Type: Full-Time

• Advanced knowledge of software and solution architecture
• High-level project management skills
• Ability to solve complex software system issues
• Well experienced with software design and web development
• Proficiency with JAVA, and strong front-end knowledge of HTML5, JSF, Angular, React 
• Familiar or working experience with Apache Kafka working, Containers, Docker, Kubernetes
• Professional, precise communication skills
• Deep understanding of 'under the hood' knowledge of frameworks worked on
• Work experience in implementing Unit Tests 
• Work experience in applying the best practices of Design, Architecture and Application development
• Extensive experience with HTML5, CSS3, XML and JSON
• Thorough understanding of Reactive Programming, RxJS framework, Databases, API, 
• Implementing of Caching and RESTful services 
• Troubleshooting design and performance flaws and system bottlenecks
• Conducting system performance tests
• Working experience in an Agile team, especially with SCRUM
• Good understanding of DevOps, CI/CD principles and practices to improve Software Quality  & Efficiency
• Following Skills will be an added advantage 
• Work experience with Cloud Services like AWS and Azure 
• Familiar with common microservices patterns
• Service / API test – to test endpoints as thoroughly as possible
• End to End integration test system

Behavioral Skill

• Should be a quick learner with a problem-solving mindset
• Attention to detail and follow-through to achieve good quality 
• Ability to work effectively in a team 
• Excellent written and verbal communication skills

Job Title: Network Engineer

Job Summary:

The Network Engineer will design, implement, and manage various network solutions to ensure the smooth operation, security, and efficiency of the organization's IT infrastructure. This role requires a deep understanding of network architecture, protocols, and security.

Key Responsibilities:

• Network Design and Implementation:
• Design and deploy functional networks (LAN, WAN, WLAN, VLAN, VPN).
• Configure and install various network devices and services (e.g., routers, switches, firewalls, load balancers, VPN, QoS).

Network Maintenance and Monitoring:

• Monitor network performance and ensure system availability and reliability.
• Use tools to monitor network performance, troubleshoot network issues, and optimize network performance.

Security Management:

• Implement and manage network security measures (e.g., firewalls, intrusion detection systems).
• Regularly update network security measures to protect against vulnerabilities and cyber threats.

Technical Support:

• Provide technical support to users and resolve network issues.
• Liaise with vendors and other IT personnel for problem resolution.

Documentation and Reporting:

• Maintain comprehensive documentation of the network configurations, including network diagrams and operational procedures.
• Prepare and maintain network reports and logs.

Network Upgrades and Scalability:

• Plan and execute network upgrades and expansions to support the organization's growth.
• Evaluate new network technologies and make recommendations for enhancements.

Compliance and Standards:

• Ensure network configurations comply with industry standards and best practices.
• Adhere to regulatory requirements related to network management.

Required Skills and Qualifications:

• BE / Bachelor’s degree in computer science, Information Technology, or a related field.
• Professional certification (e.g., CCNA, CCNP, CompTIA Network+) preferred.
• Proven experience as a Network Engineer or Network Administrator.
• In-depth knowledge of network protocols (e.g., IP, BGP, OSPF, EIGRP, HSRP).
• Hands-on experience with network hardware (e.g., Cisco, Juniper, HP, Fortinet Switch).
• Proficient in network monitoring and troubleshooting tools (e.g., SolarWinds, Wireshark, Nagios).
• Strong understanding of network security principles and best practices.
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork abilities.

Preferred Skills:

• Experience with virtualization technologies (e.g., VMware, Hyper-V networking ).
• Familiarity with cloud networking (e.g., AWS, Azure).
• Experience with SDN (Software-Defined Networking) and NFV (Network Functions Virtualization).

Working Conditions:

• 5 days in Office- Wissen Technology, Cessna Business Park, Kadubeesanahalli, Bellandur, Bangalore- 560103
• May require on-call duties or after-hours work to address network issues or perform upgrades.
• Work may involve lifting and installing networking equipment.

MERN Stack Developer

Location: Surat, Gujarat (No WFH )

Job Summary:

We are looking for a Full Stack Developer (MERN) with hands-on experience in building highly scalable, performance-driven applications. The ideal candidate should have a deep understanding of both front-end and back-end development, microservices, and database optimization for large-scale systems. You will be responsible for designing, developing, and maintaining applications that can handle high concurrency (1,000+ active users) while ensuring performance, reliability, and scalability.

This role involves working closely with cross-functional teams — including product managers, designers, and DevOps engineers — to deliver cutting-edge, enterprise-grade solutions.

Roles & Responsibilities:

• Design and develop scalable and distributed web applications using the MERN stack (MongoDB, Express.js, React/Next.js, Node.js).
• Build and optimize RESTful APIs for high-performance, concurrent environments.
• Architect and manage MongoDB databases, ensuring high availability, efficient query performance, and scalability.
• Implement queueing systems (e.g., BullMQ, RabbitMQ, Kafka, or Redis Queues) for background jobs and asynchronous processing.
• Optimize server and client performance to support real-time data updates and high concurrent user loads.
• Collaborate with DevOps to improve deployment pipelines, containerization (Docker), and cloud scalability.
• Conduct thorough testing, profiling, and debugging to identify performance bottlenecks and optimize both code and infrastructure.
• Participate in code reviews, architecture discussions, and sprint planning to ensure technical excellence and scalability across all layers.

Qualification / Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 1 + years of hands-on experience in full-stack development using the MERN stack.
• Proven experience working on applications supporting 1,000+ concurrent users or large-scale distributed systems.
• Strong expertise in:
• Node.js (asynchronous programming, clustering, performance optimization)
• Next.js & React.js (SSR, CSR, and dynamic rendering)
• MongoDB (aggregation pipelines, indexing, schema design for scalability)
• Practical experience with message queues (BullMQ, RabbitMQ, Kafka, or Redis Streams).
• Familiarity with caching mechanisms (Redis, Memcached) to optimize performance.
• Experience with Docker and microservices-based architectures is a plus.
• Good understanding of API design, authentication mechanisms (JWT, OAuth), and security best practices.
• Experience working in Agile environments and using Git-based version control.

Nice to Have:

• Exposure to serverless computing (AWS Lambda).
• Experience with monitoring tools (New Relic, Datadog, ELK Stack).
• Knowledge of CI/CD pipelines and automated deployment workflows.
• Experience in real-time communication (WebSockets, Socket.io).

Skills:

·      Strong knowledge of the Go programming language, including its paradigms, constructs, and idioms.

·      Familiarity with common Goroutine and channel patterns.

·      Experience with a wide range of Go frameworks and tools, including:

·      Knowledge of dependency management tools such as Godep, Sltr, etc., is a plus.

·      Familiarity with Go's templating language.

·      Experience with Go's code generation tools, such as Stringer, is beneficial.

·      Understanding of popular Go web frameworks like Gin.

·      Familiarity with router packages like Gorilla Mux is advantageous.

Tech Stack:

Golang, Microservices (AWS ECS, App Mesh), Ruby, Rails, MySQL, Postgres, Redis, NATS.

Required Skills:

- 5+ years of experience with Ruby on Rails OR 2+ years of experience with Golang.

- 5+ years of experience with MySQL or Postgres and relational data modelling.

- Experience consuming and writing REST APIs.

- Focus on writing clear, maintainable, tested code.

- Experience with Git, continuous integration and regular deployments.

- Experience with complex Rails projects and design principles.

- Strong willingness to learn and use Golang at work.

- Experience with CI (continuous integration).

- Strong understanding of Linux.

- Strong understanding of Docker.

- You must be a strong communicator who can explain complex ideas to anyone regardless of background.

Preferred Skills:

- 2+ years of experience with Golang.

- Experience with Microservices deployed in Kubernetes.

- Experience with AWS ECS, App Mesh and Lambda.

- Ability and interest in mentoring junior engineers a plus.

- Excellent written communication skills and diligent ability to contribute to the team by performing code reviews.

- B.S. in Computer Science, Computer Engineering, Software Engineering, or equivalent experience