Behavioural Scientist

Job Opportunity: AWS Infrastructure Engineer

• Location: Anywhere, Permanent Remote
• Work Mode: Remote, Work from Home
• Payroll Company: Talpro India
• Experience Required: 4+ Years
• Notice Period: Immediate Joiner Only

Key Responsibilities:

• Cloud Infrastructure Design & Management:
• • Architect, deploy, and maintain AWS services like EC2, S3, VPC, RDS, IAM, Lambda
• • Build secure, scalable cloud environments on AWS; Azure/GCP exposure is a plus
• Security & Compliance:
• • Implement security best practices using IAM, GuardDuty, Security Hub, WAF
• • Apply patching and security updates for Linux and Windows systems
• Networking & Connectivity:
• • Configure and troubleshoot AWS networking (VPC, TGW, Route 53, VPNs, Direct Connect)
• • Manage hybrid environments and URL filtering solutions
• Server & Service Optimization:
• • Optimize Apache, NGINX, MySQL/PostgreSQL on Linux and Windows platforms
• • Ensure server health, availability, and performance
• Firewall & Access Control:
• • Hands-on with physical firewalls like Palo Alto and Cisco
• Support & Integration:
• • Provide L2/L3 support and ensure quick incident resolution
• • Collaborate with DevOps, application, and database teams
• Automation & Monitoring:
• • Automate using Terraform, CloudFormation, Bash, or Python
• • Monitor and optimize using CloudWatch, Trusted Advisor, and Cost Explorer

Must-Have Skills:

• 4+ years of hands-on experience with AWS Cloud
• System administration for both Linux and Windows
• Expertise in AWS networking and security
• Proficiency with Terraform or CloudFormation
• Scripting skills in Bash or Python
• Experience managing Apache, NGINX, MySQL/PostgreSQL
• Familiarity with Palo Alto or Cisco firewalls

Knowledge of AWS monitoring tools like CloudWatch and Trusted Advisor

Good to Have Skills:

• Exposure to multi-cloud environments like Azure or GCP
• RHCSA or MCSE certification
• Strong collaboration and DevOps integration skills
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Certifications Required:

• AWS Certified Solutions Architect (Mandatory)
• RHCSA or MCSE (Preferred)
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Summary:

We are looking for an AWS Infrastructure Engineer to manage and secure scalable cloud environments. This role requires hands-on AWS experience, strong system admin skills, and automation expertise. If you’re certified, skilled in modern cloud tooling, and ready to work in a dynamic tech environment, we’d love to connect with you.

TVARIT GmbH develops and delivers solutions in the field of artificial intelligence (AI) for the Manufacturing, automotive, and process industries. With its software products, TVARIT makes it possible for its customers to make intelligent and well-founded decisions, e.g., in forward-looking Maintenance, increasing the OEE and predictive quality. We have renowned reference customers, competent technology, a good research team from renowned Universities, and the award of a renowned AI prize (e.g., EU Horizon 2020) which makes Tvarit one of the most innovative AI companies in Germany and Europe. 

We are looking for a self-motivated person with a positive "can-do" attitude and excellent oral and written communication skills in English. 

We are seeking a skilled and motivated Data Engineer from the manufacturing Industry with over two years of experience to join our team. As a data engineer, you will be responsible for designing, building, and maintaining the infrastructure required for the collection, storage, processing, and analysis of large and complex data sets. The ideal candidate will have a strong foundation in ETL pipelines and Python, with additional experience in Azure and Terraform being a plus. This role requires a proactive individual who can contribute to our data infrastructure and support our analytics and data science initiatives. 

Skills Required 

• Experience in the manufacturing industry (metal industry is a plus)  
• 2+ years of experience as a Data Engineer 
• Experience in data cleaning & structuring and data manipulation 
• ETL Pipelines: Proven experience in designing, building, and maintaining ETL pipelines. 
• Python: Strong proficiency in Python programming for data manipulation, transformation, and automation. 
• Experience in SQL and data structures  
• Knowledge in big data technologies such as Spark, Flink, Hadoop, Apache and NoSQL databases. 
• Knowledge of cloud technologies (at least one) such as AWS, Azure, and Google Cloud Platform. 
• Proficient in data management and data governance  
• Strong analytical and problem-solving skills. 
• Excellent communication and teamwork abilities. 

Nice To Have 

• Azure: Experience with Azure data services (e.g., Azure Data Factory, Azure Databricks, Azure SQL Database). 
• Terraform: Knowledge of Terraform for infrastructure as code (IaC) to manage cloud. 

Responsibilities:

• Works on all stages of the software development life cycle (SDLC).
• Develops, codes, tests, and debugs software and applications using Java.
• Designs features and makes improvements based on user experience data.
• Completes unit testing to identify and fix programming errors.
• Uses common testing and software documentation tools.
• Writes software documentation guides.
• Collaborates with other members of the software development team.

Sr. Finance Manager is a diverse and challenging position with its broad scope of responsibilities and high accountability. You will play a central role in driving insights which would form the basis for key strategic and business decisions. This role will be a precursor to several long-term exciting opportunities within the organization.

 Responsibilities:

• Gain a deep understanding of customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth
• Create buy-in for the product vision both internally and with key external partners
• Develop product pricing and positioning strategies
• Translate product strategy into detailed requirements and prototypes
• Scope and prioritize activities based on business and customer impact
• Work closely with engineering teams to deliver with quick time-to-market and optimal resources
• Drive product launches
• Evaluate promotional plans to ensure that they are consistent with product line strategy and that the message is effectively conveyed
• Act as a product evangelist to build awareness and understanding
• Represent the company by visiting customers to solicit feedback on company products and services

Requirements:

• Proven work experience in product management or as an associate product manager
• Proven track record of managing all aspects of a successful product throughout its lifecycle
• Proven ability to develop product and marketing strategies and effectively communicate recommendations to executive management
• Solid technical background with understanding and/or hands-on experience in software development and web technologies
• Strong problem solving skills and willingness to roll up one’s sleeves to get the job
• Skilled at working effectively with cross functional teams in a matrix organization
• Excellent written and verbal communication skills
• MS/BS degree in Computer Science, Engineering or equivalent preferred

We are looking for individuals who have the following skillset:

• Adaptable and flexible
• Problem-solving skills
• Detail orientation
• Ability to establish strong client relationship
• Agility for quick learning

Nice to haves:

• Exceptional written and verbal communication skills
• Ability to multitask and work on a range of requirements.
• Experience in analysing very large, complex, multi-dimensional data sets.
• Penchant for business, curiosity about numbers, persistence to work with data and passion for uncovering insights out of that

• Hands-on experience in Development
• 4-6 years of Hands on experience with Python scripts
• 2-3 years of Hands on experience in PySpark coding. Worked in spark cluster computing technology.
• 3-4 years of Hands on end to end data pipeline experience working on AWS environments
• 3-4 years of Hands on experience working on AWS services – Glue, Lambda, Step Functions, EC2, RDS, SES, SNS, DMS, CloudWatch etc.
• 2-3 years of Hands on experience working on AWS redshift
• 6+ years of Hands on experience with writing Unix Shell scripts
• Good communication skills