Ronak Jain 🧿 — DevOps Engineer

I’m a Cloud Data Engineer at Skyhigh Security with 5+ years of experience building scalable infrastructure and AI/ML data pipelines across AWS, Azure, and OCI. I specialize in deploying production ETL workflows (Databricks, PySpark, Snowflake), automating infra using Terraform, and supporting ML model operations with observability tools like Prometheus, Grafana, and OpenSearch. I’ve implemented GenAI ready pipelines using LangChain and prompt-engineered modular outputs to support LLM inference workflows while adopting MLOps practices for CI/CD, monitoring, and secure deployments. This includes designing end-to-end ML lifecycle automation, model versioning, feature/data quality checks, and building reliable model serving patterns. As a former Software Developer at InfoObjects, I built CI/CD pipelines (GitHub Actions, GitLab CI), automated DevOps lifecycle processes, and deployed microservices on AWS ECS using Terraform and CloudFormation. Additionally, I’ve delivered 1:1 and corporate training in Python, Flask, Django, DevOps, and Data Engineering to professionals across India, the US, Germany, and Singapore. I enjoy simplifying complex topics, working on AI infrastructure, and mentoring engineers transitioning into cloud and AI domains. I’m actively exploring global opportunities in Cloud Data + MLOps + GenAI Infrastructure. I also bring strong experience across DevOps/SRE principles including observability (Prometheus, Grafana), CI/CD automation (ArgoCD, GitHub Actions), and infrastructure-as-code (Terraform). My current work supports ML workflows, but the underlying reliability, performance, and secure delivery patterns apply across any cloud-native system making me well-aligned for Cloud Data + MLOps engineering roles.

Stackforce AI infers this person is a Cloud Data Engineer specializing in MLOps and AI infrastructure.

Location: Bangalore Urban, Karnataka, India

Experience: 5 yrs 10 mos

Skills

Cloud Data Engineering
Mlops
Data Engineering
Devops
Training And Mentorship

Career Highlights

5+ years in Cloud Data Engineering and MLOps.
Expert in building scalable AI/ML data pipelines.
Proficient in CI/CD automation and infrastructure as code.

Work Experience

Skyhigh Security

Cloud Data & MLOps Engineer (2 yrs 11 mos)

InfoObjects Inc.

Sr. Software Engineer - Data Engineer (2 yrs)

Python Software Engineer (11 mos)

Briskon Inc.

Software/OpenEdx Internship (5 mos)

menteetomentor.online

Python (backend development) & DevOps/MLOps Training and Mentorship (4 yrs 11 mos)

Education

Bachelor's degree at Global Institute of Technology,Jaipur

Ronak Jain 🧿

DevOps Engineer

Bangalore Urban, Karnataka, India5 yrs 10 mos experience

Key Highlights

5+ years in Cloud Data Engineering and MLOps.
Expert in building scalable AI/ML data pipelines.
Proficient in CI/CD automation and infrastructure as code.

Stackforce AI infers this person is a Cloud Data Engineer specializing in MLOps and AI infrastructure.

Contact

Skills

Core Skills

Cloud Data EngineeringMlopsData EngineeringDevopsTraining And Mentorship

Other Skills

AWSAlgorithmsAnsibleApache HadoopApache SparkArgoCDAzure DatabricksBootstrapCSSContinuous Integration and Continuous Delivery (CI/CD)Data PipelinesData structuresDesingDjangoDocker

About

Experience

5 yrs 10 mos

Total Experience

2 yrs 11 mos

Average Tenure

2 yrs 11 mos

Current Experience

Skyhigh security

Cloud Data & MLOps Engineer

May 2023 – Present · 2 yrs 11 mos · Bangalore Urban, Karnataka, India

Driving the end-to-end lifecycle of data pipelines (ETL, including Dagster) and ML infrastructure, from architectural design to operationalization, leveraging OpenSearch, Kafka, Logstash, ElastAlert, and a range of AWS data services (including S3).
Maintaining highly performant data infrastructure on AWS and OCI with 99.9% uptime, leveraging Kubernetes and proactive monitoring (Grafana, Prometheus, ElastAlert, PagerDuty) to support data-intensive applications and analytical workloads.
Automating infrastructure provisioning and application deployments through CI/CD pipelines (GitHub Actions, ArgoCD) and Infrastructure-as-Code (Terraform, Kubernetes, Helm), resulting in a 20% reduction in deployment time and improved consistency for AI/ML deployments.
Proactive monitoring, alerting & incident response to ensure system health and prevent disruptions.
Experienced in developing and deploying data processing workflows using Python and relevant libraries, and familiar with cloud-based machine learning platforms like Sagemaker and Harness.
Skilled in troubleshooting critical cloud infrastructure and data pipeline issues, including Kubernetes upgrades, resource utilization, and network connectivity, with hands-on experience using relevant tools
Proficient in utilizing established processes for opening TAU and Incident tickets to escalate and manage technical issues.

AWSOCIKubernetesTerraformGrafanaPrometheus+12

Infoobjects inc.

2 roles

Sr. Software Engineer - Data Engineer

May 2021 – May 2023 · 2 yrs

Accomplishments Include:
Designed and developed robust data processing pipelines to extract, transform, and load (ETL) data from a variety of sources, improving data accessibility by 15% and data quality by 20%.
Implemented scalable data integration frameworks and data warehousing solutions to centralize and optimize data for analysis and reporting
Utilized big data technologies including Apache Hadoop, Dagster, and Apache Spark to process and analyze large datasets within distributed computing environments, enabling data-driven insights
Developed RESTful APIs and web services using Python to facilitate seamless data access and integration across various applications and systems.
Automated infrastructure provisioning, configuration, and application deployment processes using tools such as Docker, Kubernetes, and/or Ansible, leading to increased efficiency and reduced manual errors.
Managed and maintained AWS cloud infrastructure, including services like EC2 and S3, ensuring optimal performance, security, and cost-effectiveness.

AWSPythonETLApache HadoopApache SparkDocker+5

Python Software Engineer

Jun 2020 – May 2021 · 11 mos

Briskon inc.

Software/OpenEdx Internship

Jul 2018 – Dec 2018 · 5 mos · Bangalore

Accomplishments Include:
Customised and themed the various websites running on the Open edX & Designed and develop new features for the Open edX on the localhost.
Functional work: Installation, Setup of VMware, database & Linux.

Open edXLinuxVMware

Menteetomentor.online

Python (backend development) & DevOps/MLOps Training and Mentorship

Jun 2018 – May 2023 · 4 yrs 11 mos

Effectively communicated technical concepts with clarity and enthusiasm, fostering a positive learning environment.
Developed engaging and interactive training content, adapting delivery methods to suit different audiences.
Provided constructive feedback and guidance to students to facilitate their learning and skill development.
Managed training sessions effectively, addressing questions and ensuring a productive learning experience.
Stayed up-to-date with the latest advancements and best practices in Python, Django, AI/ML, and DevOps to deliver relevant training.
Let's Upgrade: Conducted Django workshops covering web development best practices
American Chase: Delivered Python and DevOps training focused on automation and cloud deployment strategies.
PGP Programs: Mentored individuals backend programs Let's Upgrade.
Training on: Python, Django, Flask, DevOps, AWS, Kubernetes, Terraform, AI/ML Training