DevOps Engineer

InfoCepts; Coopersburg (Lehigh County); Hybrid; USD 110,000 - 140,000; Full time

Job summary

A leading technology firm in Lehigh County is seeking a hybrid DevOps and Data Engineering professional. This role emphasizes managing ETL pipelines and requires strong hands-on DevOps experience, along with proficiency in Python and AWS. Ideal candidates have exceptional communication skills, a Bachelor's in a related field, and at least 10 years of relevant experience. You will be responsible for ensuring compliance, performing platform upgrades, and creating test strategies for validation. Join a dynamic team focused on cloud data services and innovative solutions.

Qualifications

• At least 10+ years of relevant experience; two years may be substituted for a master’s degree.
• Demonstrated continued learning through one or more technical certifications or related methods.

Responsibilities

• Modify and manage ETL pipelines as part of platform operations.
• Upgrade and maintain third-party components such as ingress controllers and service meshes.
• Ensure upgraded components remain compatible with dependent services.

Skills

Terraform

Cloud data services (AWS)

Python

Data pipelines for batch processing

Docker

Kubernetes

Data monitoring

QA exposure

Education

Bachelor's degree in computer science or related field

Tools

AWS Redshift

AWS RDS

Amazon Athena

Job description

We are seeking a hybrid DevOps + Data Engineering profile, with a stronger emphasis on DevOps capabilities. The role owner will be required to modify & manage ETL pipelines as part of platform operations. The role owner should have hands on DevOps experience along with good understanding of data pipelines.

Key Result Areas and Activities:

DevOps requirements:

• Modify and manage data pipelines in DevOps setup.
• Good understating of CI/CD pipelines.

Development responsibilities:

Software Asset Maintenance & Upgrades

• Upgrade and maintain third-party components such as ingress controllers, service meshes, monitoring agents, infrastructure libraries, and cloud-native tools.
• Apply the latest versions and security patches to ensure compliance, stability, and performance.
• Update and enhance IaC scripts to support version upgrades across development, QA, and production environments.
• Validate changes through sandbox testing before deployment to production.

Compatibility & Dependency Management

• Ensure upgraded components remain compatible with dependent services and applications.
• Identify and mitigate potential breaking changes or dependency conflicts.

Application Code Adjustments

• Implement necessary code changes in supported languages (e.g., Python) to accommodate new versions or configuration requirements.
• Address minor and moderate changes required for compatibility with upgraded components.
• Update existing unit tests in response to the application code changes.

Security & Compliance

• Apply immediate fixes for vulnerabilities.
• Maintain adherence to organizational security and governance guidelines.

Testing & Validation

• Create and execute test strategies for validating the upgrades.
• Execute existing unit tests and manual test cases post-upgrade.
• Conduct functional testing of impacted applications to ensure end-to-end stability.
• Validate application behavior after code changes and infrastructure updates.

Reporting & Governance

• Provide weekly status reports detailing software versions, security posture, upgrade activities, and testing outcomes.
• Participate in regular reviews and acceptance processes.

Must-Have Skill Set:

• Terraform.
• Platform upgrades and maintenance.
• QA exposure – integration & platform testing.
• Deep understanding of cloud data services (AWS) and migration strategies.
• Strong proficiency in ETL/ELT pipelines and framework development using Python. Development may not be needed but understanding is required.
• Modifying & monitoring data pipelines for batch and real-time processing.
• Exceptional communication skills for engaging executives and non-technical stakeholders.
• Knowledge of containerization (Docker, Kubernetes) and orchestration for data workloads.

Good-to-Have Skill Set

• Certifications in cloud platforms (AWS) and data engineering.
• Experience with advanced analytics and machine learning pipelines.
• Prior consulting experience or leading large-scale data transformation programs.
• Knowledge of data extraction from SAP OData Services.
• Experience with multiple relational and NoSQL databases (Must have - Redshift, RDS and Athena).
• Experience with BI tools integration with enterprise data platforms.

Qualification:

• Bachelor’s degree in computer science, engineering, or related field (master's degree is a plus).
• Demonstrated continued learning through one or more technical certifications or related methods.
• At least 10+ years of relevant experience; two years may be substituted for a master’s degree.