SWITS DIGITAL Private Limited
DevOps Engineer – Data Operations
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a DevOps Engineer – Data Operations, remote, with a contract length of "unknown" and a pay rate of "unknown." Key skills include Python, Go, Kubernetes, GitLab CI/CD, Azure, and experience with data manipulation libraries.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 28, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Manipulation #GitLab #Cloud #Kubernetes #Observability #Snowflake #IAM (Identity and Access Management) #DevOps #Snowpark #Grafana #Prometheus #Libraries #YAML (YAML Ain't Markup Language) #Logging #Spark (Apache Spark) #Azure #Splunk #CLI (Command-Line Interface) #Data Science #Pandas #Python #ML (Machine Learning) #AWS (Amazon Web Services)
Role description
Job Title: DevOps Engineer – Data Operations
Location: Remote
Job Description
Seeking a highly proficient developer to contribute to cloud-native application development using Python, Go, Kubernetes, Snowflake and Azure. The role demands deep integration with GitLab CI/CD pipelines and secure identity management via EntraID.
Required Skills
• High-level proficiency in Python and Go.
• Strong experience with Kubernetes CLI and GitOps workflows.
• Proven track record with GitLab CI/CD.
• Hands-on experience with Azure or AWS cloud services.
• Familiarity with Azure EntraID for identity and access management.
• Solid understanding of containerization, networking, and distributed systems.
• Demonstratable skills using Python for data manipulation with on of thee libraries like Pandas, Snowflake Snowpark, Polars, Spark Python etc.
Preferred Qualifications
• Hands-on experience building and distributing Python libraries with Pip
• Experience with Helm and Jinja-based templating within YAML files.
• Knowledge of Kubernetes networking
• Familiarity with observability stacks and logging (Prometheus, Grafana, Splunk).
• Experience working with Data Science teams
• Previous experience integrating machine learning models into cloud services
• Basic understanding of data science and statical analysis
Job Title: DevOps Engineer – Data Operations
Location: Remote
Job Description
Seeking a highly proficient developer to contribute to cloud-native application development using Python, Go, Kubernetes, Snowflake and Azure. The role demands deep integration with GitLab CI/CD pipelines and secure identity management via EntraID.
Required Skills
• High-level proficiency in Python and Go.
• Strong experience with Kubernetes CLI and GitOps workflows.
• Proven track record with GitLab CI/CD.
• Hands-on experience with Azure or AWS cloud services.
• Familiarity with Azure EntraID for identity and access management.
• Solid understanding of containerization, networking, and distributed systems.
• Demonstratable skills using Python for data manipulation with on of thee libraries like Pandas, Snowflake Snowpark, Polars, Spark Python etc.
Preferred Qualifications
• Hands-on experience building and distributing Python libraries with Pip
• Experience with Helm and Jinja-based templating within YAML files.
• Knowledge of Kubernetes networking
• Familiarity with observability stacks and logging (Prometheus, Grafana, Splunk).
• Experience working with Data Science teams
• Previous experience integrating machine learning models into cloud services
• Basic understanding of data science and statical analysis
