Salary
≈ $16k – $47k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Middle · 3+ years exp
Overview
Company
Impact
Profile match
DTDL (Digital Transformation and Data Analytics Solutions) is an Indian technology firm specializing in digital solutions, data management, and enterprise IT services. The company provides customized software development, cloud integration, and advanced analytics to help businesses optimize their operations and scale efficiently. Based in India, it serves as a digital transformation partner for organizations looking to leverage technology for business growth and modernization.
We are looking for a DevOps Engineer with a proactive approach to ownership, driving initiatives and ensuring high-quality outcomes that align with both technical and product goals.
Responsibilities:
- Be working primarily on a set of digital products focused on consumer-facing containerised web and mobile applications, content streaming, distributed data stores, data engineering and analytics, serverless functions, and hosting of APIs.
- Be responsible for doing all the technical implementation as per the requests in JIRA for different self-hosted and managed resources on AWS in an automated fashion, using the best practices of DevOps, security, and cost optimisation.
- Be creating all the automation scripts in Gitlab and be aware of the Gitflow model for pull requests.
- Create documentation for everything Cloud DevOps in Confluence.
- Be a self-driven individual contributor, aware of Agile Scrum methodology, to participate in project activities.
Requirements:
- Graduate with 3-5 years of relevant work experience in AWS and DevOps.
- Extremely knowledgeable on Linux, Shell Scripting, AWS core services (VPC, EC2 S3 IAM, RDS), Amazon EKS/Kubernetes, ArgoCD, GIT, Docker, Jenkins, Ansible, Terraform, Prometheus, and Grafana.
- Regular use of AI tools for Infrastructure as Code (IaC), including Terraform and AWS CLI scripting, with the ability to refine AI-generated configurations and validate changes using practices such as `terraform plan` and dry runs.
- Strong operating system fundamentals with a focus on performance optimisation and reliability of the system.
- Good to have experience working with distributed systems and databases (SQL, NoSQL, and Cache), stream processing (Kafka), message queuing (RabbitMQ), and search and analytics platforms (ELK).
Big Pluses if you:
- Have a strong focus on business outcomes.
- Are comfortable with collaboration, open communication and reaching across functional borders
- Are self-motivated and can get things done.
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