Mudita Pandey

Software Engineer

Pune, Maharashtra, India2 yrs 9 mos experience

Key Highlights

Passionate about DevOps and cloud computing.
Experienced in designing scalable AWS infrastructure.
Skilled in automating CI/CD pipelines.

Stackforce AI infers this person is a DevOps Engineer with a focus on cloud infrastructure and automation in SaaS environments.

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Skills

Core Skills

AwsTerraformCi/cdPython

Other Skills

Data ScienceData StructuresDatabase ManagementDatadogDjangoGitJenkinsKafkaShell ScriptingSpinnaker

About

A highly motivated and detail-oriented IT enthusiast with a passion for DevOps and cloud computing. I'm excited to launch my career as a DevOps engineer, leveraging my skills in: AWS | Terraform | CI/CD | Python | Docker | K8s With a strong foundation in these technologies, I'm eager to collaborate with innovative teams and contribute to the design, implementation, and management of scalable, efficient, and secure systems. As a young professional, I'm committed to delivering high-quality work, continuously learning, and staying up-to-date with industry trends. I'm excited to connect with like-minded professionals, share knowledge, and grow together in the tech community. Let's connect and explore opportunities to drive innovation and excellence in DevOps!

Experience

Zendesk

Software Engineer I

Jan 2025 – Present · 1 yr 2 mos

Persistent systems

2 roles

Software Engineer

Sep 2023 – Jan 2025 · 1 yr 4 mos

DevOps Engineer
On a client (Zendesk) project :
1. Designed, implemented, and managed scalable infrastructure on Amazon Web Services (AWS) using Terraform, ensuring high availability and efficiency.
2. Developed and automated CI/CD pipelines using Terraform and AWS services.
3. Ensured compliance with industry standards and best practices for security, monitoring, and logging.
4. Other utilities : Git|Spinnaker|Datadog|Jenkins|Kafka

AWSTerraformCI/CDGitSpinnakerDatadog+2

Software Engineer Intern

May 2023 – Aug 2023 · 3 mos

1. Gained hands-on experience in designing, developing, and managing databases using various database management tools.
2. Developed and executed shell scripts to automate data processing tasks.
3. Utilized Python programming to build data pipelines, perform data analysis, and create data visualizations.
4. Collaborated with cross-functional teams to integrate data solutions.

PythonDatabase ManagementShell Scripting