11+ Wonderware Jobs in Chennai | Wonderware Job openings in Chennai

SKILLS:Scada designing ,scada developement ,scada engineer,scada (wonderware,siemens wincc,RA factory talk)
Location:  Chennai

Education: BE / B.Tech

Experience: 3-6 years

Domain knowledge: In areas of Industrial Automation technology tools – PLC/DCS/SCADA/HMI for Manufacturing in one or more of the following verticals: Chemicals, Glass, Construction products, Automotive, Abrasives, ceramics industries.

Requirements:

• To be part of Digital Manufacturing and Industry 4.0 projects across group of companies
• Design and develop Industrial automation applications for discrete, process and hybrid Manufacturing
• Experience in working with various Automation OEM or systems Integrators- Rockwell/Siemens/Schneider
• Experience in providing the network architecture for connectivity of PLC/DCS/OPC/HMI for software integration
• Experience in Industrial automation tools- feature selection, product evaluation for cost effective solution
• Expertise in Industrial automation - Best Practices, Industry Standards and integration methodologies
• Experience in various SCADA platforms such as - GE Proficy, Wonderware, Siemens Win CC, RA Factory Talk
• Collaborate with multi-functional teams to provide Industrial Automation solutions for Digital Manufacturing
• Part of end to end project of automation right from design to delivery of the project.

Roles and Responsibilities:

• Part of INDEC 4.0 Digital Mfg Industrial Automation technology practice
• Work on various projects in Digital MFG applications
• Deliver L1/L2 integration as well as manufacturing IT applications.
• Verify and Validate Industrial Automation projects across L1- L3 layers of integration
• Track multiple Industrial projects for INDEC 4.0 competency center across business units.

You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

Role: Senior Content Editor

Job Type: Full-time

Exp: 4-6 yrs

Location: Ambattur, Chennai

Requirements:

Roles and responsibilities:

• Review and edit articles for grammar, spelling, punctuation, and style.
• Ensure clarity, coherence, and consistency in writing.
• Conduct meticulous final checks to catch any errors, inaccuracies, or formatting issues.
• Collaborate with writers to address feedback and make necessary revisions.
• Uphold and enforce high editorial standards to maintain the publication's credibility.
• Verify the accuracy of information, perform fact-checking, and address any discrepancies.
• Execute the final approval process for articles before publication.
• Utilize content management systems (CMS) to publish and schedule articles and multimedia content.
• Manage tight deadlines and prioritize tasks effectively to meet publishing schedules.
• Stay on top of industry trends, developments, and best practices in the crypto and blockchain space.
• Contribute insights to discussions on improving editorial processes and content quality.

Qualifications:

• Bachelor's degree in Journalism, English, Communications, or a related field.
• Proven experience as an editor in a digital media environment.
• Exceptional command of the English language, with strong writing and editing skills.
• Familiarity with the crypto and blockchain industry is a plus.
• Proficiency in using content management systems (CMS).

We are also accepting application for this profile from Content Editor and Senior Content Editor.

Let’s get started on building your path to success!

Key Responsibility Areas:

• Should have excellent knowledge of Swift and Objective C
• Good working knowledge in Cocoa Touch
• Experience with performance and memory tuning with tools
• Experience with memory management & caching mechanisms specific to mobile devices
• Experience with third-party libraries and APIs
• Experience working with Core Data, Realm
• Understanding of the full mobile development life cycle
• Experience in publishing apps to the App Store.
• Code version tool – Git, Bitbucket
• Design Pattern - MVC and MVVM, MVP
• Must be able to provide individual or project oversight on rapid prototyping/POC 
• efforts and large scale enterprise wide roll out planning.
• Must be familiar with software development methodologies like Agile, Waterfall, Iterative etc.
• Must have strong analytical skills and should be able to define and build competency assets – estimators, tools, reusable assets, scripts, etc.
• Must have strong communication and customer interfacing skills with particular emphasis on Scope and Requirements Management
• Experience in IoT domain will be a big plus

Required Skills:

• Experience in publishing apps to the App Store.
• Code version tool – Git, Bitbucket
• Design Pattern - MVC and MVVM, MVP
• Must be able to provide individual or project oversight on rapid prototyping/POC 
• efforts and large scale enterprise wide roll out planning.
• Must be familiar with software development methodologies like Agile, Waterfall, Iterative etc.

5-7 years of experience in Data Engineering with solid experience in design, development and implementation of end-to-end data ingestion and data processing system in AWS platform.

2-3 years of experience in AWS Glue, Lambda, Appflow, EventBridge, Python, PySpark, Lake House, S3, Redshift, Postgres, API Gateway, CloudFormation, Kinesis, Athena, KMS, IAM.

Experience in modern data architecture, Lake House, Enterprise Data Lake, Data Warehouse, API interfaces, solution patterns, standards and optimizing data ingestion.

Experience in build of data pipelines from source systems like SAP Concur, Veeva Vault, Azure Cost, various social media platforms or similar source systems.

Expertise in analyzing source data and designing a robust and scalable data ingestion framework and pipelines adhering to client Enterprise Data Architecture guidelines.

Proficient in design and development of solutions for real-time (or near real time) stream data processing as well as batch processing on the AWS platform.

Work closely with business analysts, data architects, data engineers, and data analysts to ensure that the data ingestion solutions meet the needs of the business.

Troubleshoot and provide support for issues related to data quality and data ingestion solutions. This may involve debugging data pipeline processes, optimizing queries, or troubleshooting application performance issues.

Experience in working in Agile/Scrum methodologies, CI/CD tools and practices, coding standards, code reviews, source management (GITHUB), JIRA, JIRA Xray and Confluence.

Experience or exposure to design and development using Full Stack tools.

Strong analytical and problem-solving skills, excellent communication (written and oral), and interpersonal skills.

Bachelor's or master's degree in computer science or related field.

1. Building up and leading the Testing Team to the success of project
2. Defining the scope of testing within the context of each release / delivery
3. Deploying and managing resources for testing
4. Applying the appropriate test measurements and metrics in the product and the Testing Team
5. Planning, deploying and managing the testing effort for any given engagement.

You should apply if you have —

1. 3 - 5 years of technical experience (you can count internships & freelance work towards this).
2. Proficiency in React (especially Hooks) and Typescript; experience in Node.js is nice to have.
3. Experience in profiling apps for performance.
4. A track record of writing accessible and detailed version-control commits, documentation and code reviews.
5. A strong ability to write clean, scalable, self-documenting & highly-testable code.
6. Very good problem-solving skills.

You'll be helping us with some of these challenges —

1. How do we keep building more features while keeping the code clean, as small as possible and highly performant?
2. How do we build a strong testing-first delivery cycle so we can ship code with greater confidence?

We're problem-solvers at heart, and we value data-driven decision-making. We believe in high-quality execution, crafting great user experiences, honest & transparent communication and enabling our people to thrive and be the best version of themselves.

The early engineering + product team includes folks from https://home.lynk.co.in/" target="_blank">Lynk,Zoho and https://www.kilobytetech.com/" target="_blank">Kilobyte, and we're hoping to build one of the best teams in the city; kind & compassionate, diverse and smart — one you can be proud for being a part of.

We're all generalists and prefer picking the right tool for the job. That said, we do use a lot of new & exciting technology.

Backend

• Golang for most services and Node.js (https://koajs.com/" target="_blank">Koa, https://github.com/lukeed/polka#polka" target="_blank">Polka) for a few
• gRPC for inter-service communication
• PostgreSQL

Frontend

• 100% TypeScript
• React v17 & https://nextjs.org/" target="_blank">Next.js v10
• https://github.com/pmndrs/zustand#readme" target="_blank">Zustand
• https://chakra-ui.com/" target="_blank">Chakra-UI
• https://www.framer.com/motion/" target="_blank">Framer Motion
• https://storybook.js.org/" target="_blank">Storybook
• https://maizzle.com/" target="_blank">Maizzle

Infra

• AWS (with extensive use of RDS, S3, ECS, SQS, SES & CloudWatch)
• Gitlab for version-control and CI/CD
• All apps built and shipped as Docker images
• Kubernetes for container orchestration
• https://www.honeybadger.io/" target="_blank">Honeybadger for error analytics & uptime monitoring

We are looking for a coding Engineering Manager based in Chennai. This is a new role within the growing Engineering function, where you will be responsible for leading a team of talented professionals, assisting them to deliver complex technical solutions across a range of teams. The successful candidate will be comfortable directing, planning and coordinating the team, as well as developing overall concepts for new and existing products and processes. Reporting into the Head of Engineering for our Chennai team, this role is integral to the successful growth of the team as well as wider company performance. 

What You’ll Be Doing:

Play the role of a servant leader in helping the team to excel in the areas of ownership and help to continuously raise the bar on performance.

Perform your responsibilities through delegation, empowerment and influence aimed at delivering long term outcomes for the team and business.

Build, manage and grow one or more engineering team(s), foster Agile practices and continuous improvement, enable engineers to build, test, deliver and operate high-level software products across the company

A hands-on technical approach to management, leveraging your software engineering experience to assist product needs and build

Work with our Product, DevOps, and Data Science functions on articulating roadmaps & ensure a high quality and timely implementation to support our mission and help eliminate identity fraud

Join a mission-orientated company, solving real-world fraud and identity based challenges

Facilitate career growth and success for all team members.

What You’ll Bring:

6+ years of demonstrated deep technical design and programming skills (in individual capacity) designing and delivering enterprise grade distributed systems in the following tooling; Web applications (Java/PHP/.NET/Python) or Mobile applications (SDK, Android/iOS)

2+ years prior experience managing one or more Agile engineering team(s); contributing to a track record of building complex and technical products, ideally within a start-up or fast scaling environment

Track record of having managed performance cycles of engineers of varying experience levels directly reporting to you.

Experience with building software with Agility and in conformity to security standards.

Willingness to “roll-up your sleeves and get your hands dirty” when required

Experience delivering and operating complex software solutions - understanding the end-to-end needs of what is involved within this process.

Must Have:

1. Strong proficiency with .Net Core API development
2. Experience with caching approaches for API
3. Hands on with SQL Server and its variation among popular databases
4. Well versed with stored procedures, query plans, altering the indexes, and troubleshooting the performance holdups
5. Skilled at performance optimization of .NET APIs
6. Experience & Knowledge on Open API specification & swagger documentation
7. Experience in building Cloud Native Applications
8. Experience in Microservices architecture
9. Has worked on the deployment of applications using Docker
10. Has Knowledge of Kubernetes
11. Has Experience with Cache systems like Redis.

Nice to Have:

1. Familiar with .NET design patterns
2. Performance tuning of SQL Stored Procedures

Note: We looking for immediate joiners. We expect the offered candidate should join within 15 days. Buyout reimbursement is available for 30 to 60 days notice period applicants who can ready join within 15 days.