11+ Material safety data sheet Jobs in India

Fabrication and Sheet metal Knowledge Preferred

2 to 4 years Experiences Candidates Preferred

• Determine what quality standards are and establish detailed guidelines about what to check
• Create blueprints and documentation for quality assurance
• checking
• Oversee the quality standards of the organisation's engineering and manufacturing processes
• Develop, implement, audit and update quality standards and quality control systems
• Investigate production and product issues and consider corrective measures to make improvements
• Perform regular quality check tests for the early identification of any potential issues
• Prepare detailed reports of malfunctioning equipment and defective product raw materials
• Write detailed reports on the corrective actions to take to fix technical issues and production cycle issues
• Ensure compliance with quality specifications by the inspection and testing of materials, equipment, processes and products at different stages
• Collaborate with suppliers, managers and other personnel to meet organisational quality standards
• Coordinate with the organisation's internal teams to improve product quality and meet customer requirements
• Work in coordination with external technicians and quality assurance auditors
• Review customer feedback and implement changes to improve products to increase customer satisfaction
• and build brand loyalty
• Stay updated about safety and legal standards and regulations for manufacturing processes and manufactured products
• Monitor and analyse production efforts to optimise them and reduce operational expenses
• Gather relevant data to prepare detailed quality standard reports and submit them to the senior management

Job Title: Senior Golang Developer

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience: 6+ years

Role Overview

We are looking for passionate Backend Engineers with strong Golang experience to join our engineering team and build scalable, high-performance distributed systems.

 Key Responsibilities:

• Design and develop scalable microservices using Golang

• Build high-performance backend systems with low latency and high availability

• Develop RESTful APIs and event-driven services

• Work with Kafka and distributed system architectures

• Deploy and manage cloud-native applications on AWS

• Implement CI/CD pipelines and containerized deployments using Docker & Kubernetes

• Optimize system performance, database queries, and backend reliability

• Collaborate with cross-functional teams in an Agile environment

 Required Skills:

• Strong experience in Golang (Go)

• Hands-on experience with Microservices Architecture

• Good understanding of Distributed Systems & Concurrency

• Experience with Kafka / Event-Driven Architecture

• AWS cloud exposure (EC2, S3, Lambda, EKS/ECS, etc.)

• Docker, Kubernetes, Jenkins/CI-CD knowledge

• Experience with databases like PostgreSQL, MySQL, MongoDB, Redis, or DynamoDB

• Strong problem-solving and debugging skills

What We Offer

• Work with some of the brightest minds in the emerging EV industry.
• Make a tangible impact in reducing carbon emissions and enabling sustainable energy.
• Freedom to suggest, implement, and innovate on systems, processes, and technologies.
• Daily ownership in a high-growth, challenging environment.
• Flexible work environment with hybrid schedules and virtualization options.
• Competitive pay and benefits including health coverage, innovative PTO program, and performance bonuses.

About the company

This is a profitable, venture-backed startup that builds a unified API for HR, payroll, ATS, and benefits systems. Instead of integrating separately with dozens of HR and payroll platforms, customers integrate once with this platform. The company supports 65+ HR and payroll systems and processes over 100,000 syncs a day. It works with established players in the HR-tech and benefits space. The business is profitable and is growing 5 to 6 times year-over-year.

What this role really is

This role is centered on Python, FastAPI, and Postgres. The backend team is small, so this is not a sub-component of a sub-component. The engineer owns integrations end-to-end. If the company signs a customer who needs a new connector, for example Paycor, the engineer builds it, writes its tests, ships it to production, and is on-call when it breaks.

Some weeks involve writing connector code. Some weeks involve debugging a race condition in the worker pool. Some weeks involve joining a call with a customer's engineering team to help them understand an integration issue. The role is wider than it sounds.

First six months, roughly

• Month 1: Onboard. Ship one small fix to production in week one. Read the codebase. Understand how connectors are tested.
• Month 2: Take ownership of the first integration, likely a payroll connector that has not yet been built.
• Month 3: Ship it to a paying customer and join the implementation call.
• Months 4 to 6: Take on two more integrations and complete the first on-call rotation. Start contributing to shared infrastructure such as the auth layer, the rate-limit handler, and the sync orchestrator.

This ramp is intentionally fast. Candidates who find it energizing rather than intimidating are the right fit.

Who you are

• You have 2 to 5 years of experience writing production Python. FastAPI experience is ideal, and candidates with Flask or Django experience who can pick up FastAPI quickly are also a good fit.
• You have experience running Postgres in production, and you understand indexes and deadlocks, and you have debugged slow queries caused by missing WHERE clauses.
• You read other people's APIs critically and have opinions on good API design, including how pagination should work.
• You write commits and pull requests that explain your reasoning, not just the changes you made.
• You are comfortable debugging unfamiliar systems. The company integrates with 65+ external APIs, many of which have poor documentation, so reading network traces and reverse-engineering undocumented behavior is a regular part of the job.

Who you are not

• You are not someone who wants a clear ticket queue and a manager assigning work, since this team expects engineers to find work and run with it.
• You are not someone who needs a perfect spec before starting. Specs exist here but are often wrong, and the expectation is to ship, learn, and revise as you go.
• You are not someone who sees integration work as less interesting engineering. Moving the right data to the right place at the right time with the right guarantees is genuinely hard and valuable engineering work.

The offer

• Cash: Cash compensation is competitive for the Indian market and is indexed to what you would expect from a well-funded mid-stage startup. The company is profitable and pays real cash compensation rather than relying mainly on equity.
• Equity: Meaningful ESOPs with a 4-year vesting schedule and a 1-year cliff.
• Location: Based in Bengaluru, HSR Layout. Relocation support is available for candidates moving cities.
• Equipment: A MacBook Pro of your choice along with any other equipment you need.
• Health: Health insurance for the employee and their dependents.

Please apply here: https://tarlan.ai/apply/bnd-eng-3m9p

Mandatory Skills

· 3+ years of experience in AEM backend development.

· Strong hands-on experience with Java, OSGi, Sling, and JCR.

· Experience with Python for backend scripting, automation, or integration tasks.

· Knowledge of AEM architecture including dispatcher, replication agents, and workflows.

· Experience working with AEM APIs, servlets, event handlers, schedulers, and custom components.

· Understanding of REST APIs, JSON/XML data handling.

Technical Competencies 

• Experience in testing web-based applications.
• Experience in Systems Integration Testing and System Testing
• Understanding of SDLC models like Waterfall, Agile
• Knowledge of testing process and activities (STLC)
• Automotive domain knowledge will be a huge advantage
• Ability to excel in usage of different tools
• Experienced in creating and developing Test Plan, Test Cases, Test Scripts, Test Reports, and

Defect Reports for Manual tests and Automated tests. 

• Extensively performed Functional, System, Regression testing, and Sanity testing
• Experience in Defect Tracking tools such as HP ALM Quality Center, Rational Clear Quest, JIRA

&         DevOps. 

• Strong skills in test planning/designing/execution and analyzing user requirements as well as

                writing Test scripts for usability and GUI testing apart from functional testing 

• 1-4 years of End to End application testing experience
• Experience or thorough understanding of Automotive industry and processes followed.
• Experience/knowledge in Automation Testing using Selenium Web Driver, QTP, IDE etc
• Experience/knowledge in Performance Testing using tools such as Load Runner, JMeter.

Experience 

• 2-4 years of Functional Testing (Manual) experience
• 2-4 years of AGILE experience
• 2-4 years of hands on experience in all types of Black Box testing (Smoke, Sanity, System,

Integration, Regression, UAT) 

• Automotive domain knowledge preferred and will be an added advantage
• Immediate joiners preferred

We at Wow Labz are always striving to look for exciting problems to solve. Whether we’re creating new products or helping a small startup extend its reach, we build from our heart. We’re entrepreneurial and we love new ideas. Fun culture with a team that cares about your development and growth.

We are looking for an expert in machine learning to help us extract maximum value from our data. You will be leading all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. 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.

• Identify valuable data sources and automate collection processes
• Study and transform data science prototypes
• Research and Implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Extend existing ML libraries and frameworks
• Cross-validate models to ensure their generalizability
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
• Guide and mentor the respective teams

• Proven experience as a Machine Learning Engineer or similar role
• Demonstrable history of devising and overseeing data-centered projects
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Experience with cloud platforms like AWS/Azure/GCP
• Knowledge of server configurations and maintenance.
• Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
• Ability to select hardware to run an ML model with the required latency
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills

• Inclination towards Mathematics and statistics to understand the algorithms at a deeper level
• Strong OOPs concepts (python preferable)
• Hands on experience with Flask or Django
• Ability to learn latest deployed models and understand their core architecture to gain breadth of expertise

• You are curious and aware of the latest tech trends
• You are self-driven
• You get a kick out of leading a solution towards its completion.
• You have the capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork
• You are fun to hang out with!