Mogi I/O : OTT/Podcast/Short Video Apps for you

Design and govern enterprise-scale GitHub architecture, implement secure DevSecOps pipelines, and ensure operational excellence across the organization. | Deep hands-on experience with GitHub Enterprise, strong DevSecOps expertise, enterprise CI/CD design, and familiarity with compliance and governance in regulated environments. | Location: USA – Atlanta, Georgia (Full-Time, Onsite/Hybrid as per UST policy) Work Type: Permanent Experience Level: Senior / Specialist II – DevOps Engineering Compensation: USD 122,000 – 183,000 (Georgia band; dependent on skills, experience, and market) Job Overview The GitHub Architect will own the design and governance of UST’s enterprise‑scale GitHub platform across organizations, teams, and repositories. The role focuses on defining GitHub Enterprise architecture, implementing robust DevSecOps and CI/CD patterns, and establishing standards, policies, and secure‑by‑default templates that scale across a large, regulated enterprise environment. Key Responsibilities • Design and maintain enterprise GitHub architecture across organizations, business units, teams, and repositories. • Define and enforce governance models, policy frameworks, and operating standards for GitHub usage. • Establish and maintain GHAS (GitHub Advanced Security) baselines and secure‑by‑default repository templates. • Design organization‑wide strategies for branch protection rules, CODEOWNERS, and repository compliance. DevSecOps & CI/CD Architecture • Architect standardized CI/CD frameworks on GitHub Actions, including migration strategies from legacy CI/CD tools. • Design secure, reusable pipeline templates, shared runner strategies (GitHub‑hosted and self‑hosted), and environment promotion models. • Define artifact versioning, release governance, and DevSecOps controls embedded into the SDLC. Operational Excellence & Scalability • Design repository scalability and performance standards, including Git LFS usage and monorepo vs multirepo strategies. • Drive platform reliability, security posture, and operational best practices across GitHub Enterprise. • Collaborate with cross‑functional teams (security, cloud, application, compliance) to ensure alignment with enterprise policies and regulatory needs. Must‑Have Qualifications • Deep hands‑on experience with GitHub Enterprise administration and architecture. • Strong expertise in DevSecOps practices, pipeline security, and secure SDLC. • Proven experience designing and implementing enterprise‑grade CI/CD frameworks (GitHub Actions strongly preferred). • Strong knowledge of identity and access management, including SSO/SCIM integrations and RBAC models. • Experience working with audit, compliance, and governance requirements in regulated enterprise environments. • Strategic thinker with the ability to execute technically and influence stakeholders. • Excellent communication skills with experience producing architecture documentation and presenting to executives. • Demonstrated success operating in large‑scale, complex enterprise environments. Preferred Certifications • GitHub Administration and/or GitHub Advanced Security certifications. • Cloud Architect certifications (Azure Solutions Architect, AWS Solutions Architect). • DevSecOps, Kubernetes, or Terraform certifications (nice to have).

Design and implement scalable data platforms and pipelines on Azure and Databricks, ensuring performance, reliability, and governance. | 8+ years of enterprise data engineering experience with hands-on skills in Azure Databricks, Spark, Delta Lake, and related technologies. | Skills: Azure Databricks, Apache Spark/PySpark, Azure Data Factory, Azure Functions, Delta Lake, ADLS Gen2, SQL, ETL/ELT pipelines, Data Lakehouse architecture, Data Modeling, Location: Alpharetta, Georgia Experience Required: 3 – 15 Years Compensation: USD 82000 - 123000 Visa Status: US Citizens, green card holder About The Role We are seeking a Senior/Lead Data Engineer with 8+ years of experience building scalable, high-performance data platforms on Azure & Databricks. This role involves end-to-end data engineering, architecture, and leadership across modern data lakehouse environments. Key Responsibilities • Architect and implement scalable data platforms and pipelines on Azure and Databricks. • Build and optimize batch & real-time data ingestion and transformation (Spark/PySpark). • Develop robust ETL/ELT workflows, ensuring reliability and performance. • Work with ADLS, Delta Lake, and Spark for large-scale processing. • Design data models (conceptual, logical, physical) for analytics and operational use. • Collaborate with cross-functional teams to convert requirements into technical solutions. • Troubleshoot performance issues and support production systems. • Ensure best practices for data governance, security, quality, and architecture. • Mentor junior engineers and contribute to engineering standards. Required Skills • 8+ years of enterprise data engineering experience. • Strong hands-on experience with: • Azure Databricks, Azure Functions, ADF • Apache Spark (PySpark) • SQL & performance tuning • Delta Lake (schema evolution, ACID, optimization) • Expertise in ETL/ELT, distributed systems, and cloud-native architecture. • Experience with data modelling (dimensional, normalized, lakehouse). • Exposure to streaming frameworks (Kafka, Event Hub). • Strong problem-solving and technical leadership skills. Preferred Skills • CI/CD using Azure DevOps, Git. • IaC tools (Terraform/ARM). • Azure Purview or other data governance tools. • Experience supporting ML or BI workloads on Databricks. Benefits • Medical, dental, vision insurance • Paid vacation, sick leave, holidays • Employer-matched 401(k) • Life, AD&D, short-term & long-term disability • Eligibility varies by employment type and state law