Job summary
Job post source
This job is directly from Tata Consultancy Services
Job overview
The Engineer role at Tata Consultancy Services focuses on designing and managing AWS cloud infrastructure with an emphasis on scalable, secure, and highly available solutions, including integration of Machine Learning services.
Responsibilities and impact
The candidate will design, implement, and maintain AWS cloud infrastructure, collaborate with teams on architecture and deployment, optimize cloud performance and cost, support ML workflows, automate provisioning with IaC tools, monitor systems, mentor junior engineers, and communicate with stakeholders.
Compensation and benefits
The salary range is $85,000 to $115,000 per year. No additional benefits or bonuses are specified in the description.
Experience and skills
Required skills include proven AWS cloud infrastructure experience, knowledge of AWS services like EC2, S3, Lambda, proficiency in scripting and automation, experience with CI/CD and DevOps, and good communication skills. AWS certifications and experience with containerization, data engineering, ML lifecycle, security, and Agile are preferred.
Career development
The role offers opportunities for technical mentorship and collaboration in a dynamic team, supporting growth in cloud architecture and machine learning integration.
Company information
Tata Consultancy Services is a global IT services company known for its expertise in technology consulting and cloud solutions.
Unique job features
This role uniquely combines AWS cloud engineering with machine learning service integration and emphasizes automation and stakeholder collaboration.
Company overview
Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and business solutions. They generate revenue through a diverse portfolio, including software development, infrastructure services, and business process outsourcing. Founded in 1968, TCS is a subsidiary of the Tata Group, one of India's largest and oldest conglomerates. The company is known for its innovation, robust delivery model, and extensive global presence, serving clients across various industries.
How to land this job
Position your resume to highlight your expertise in AWS architecture, focusing on core services like EC2, S3, Lambda, RDS, IAM, and VPC, as well as your experience with cloud-native design principles and security best practices.
Emphasize hands-on experience with Machine Learning services such as Amazon SageMaker and Bedrock, along with your proficiency in scripting languages like Python and Bash, and your familiarity with DevOps practices and CI/CD pipelines.
Apply through multiple platforms including Tata Consultancy Services' official corporate careers page and LinkedIn to maximize application visibility and increase your chances of being noticed.
Connect with AWS Cloud Engineering professionals or team members at Tata Consultancy Services on LinkedIn; use ice breakers like commenting on recent AWS projects they’ve shared, asking about their experience with Machine Learning integration, or expressing interest in their approach to cloud security and automation.
Optimize your resume for ATS by incorporating keywords from the job description such as 'AWS Cloud Engineer,' 'Amazon SageMaker,' 'Terraform,' 'CI/CD,' 'DevOps,' and 'cloud infrastructure,' ensuring your resume passes initial automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and find relevant LinkedIn connections, allowing you to focus your time on preparing for interviews and networking effectively.
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