Azure Devops Engineer - Convent Station, United States - Smith Arnold Partners

Smith Arnold Partners Convent Station, United States

2 weeks ago

Description

Excellent opportunity for a Senior Build/Release Engineer to participate in a major Digital Transformation responsible for ensuring an optimized Build & Release management life cycle and services for evolving Data Products and the dependent technical and infrastructure ecosystem.

Chance to work for a successful, global Property Casualty Insurance leader that provides a stable environment with many opportunities for growth and more responsibility.

Competitive compensation, incredible benefits package, amazing 401k match, Cutting Edge Technology

Employee testimonials:
Outstanding group of professionals
Excellent benefits including a fantastic 401K match
Great flexibility to manage work life balance
Employees go above and beyond to support each other and achieve objectives

Title:
Build/Release Engineer

Digital Data Products

Location:
Morristown NJ / Manhattan, NY / Stamford CT / Exton PA

Salary:
$140,000 - $160,000 + Bonus / Incredible benefits package

Responsibilities:

This individual is part of the Digital Data Dev group and is responsible for providing technical, thought and implementation leadership for Release automation in Cloud environment through DevOps/DevSecOps/DataOps practices.

You will develop and enhance strategies and governance for Data solutions rollout for multiple portfolios / workstreams / Product teams
If you are experienced with application code branching and version control as well as the automation of build/release tasks, this role is an excellent fit for you

You will engage with Data Product Owners, Delivery leads, and Product Teams for detailed planning and ensuring requirements are properly captured and tracked through the Build & Release life cycle for Data Products and supporting Cloud/Infrastructure environments.

Implement and manage Data solutions rollout processes for code, tools and related artifacts through Development, Test, UAT, Staging and Production Environment
Analyze and mitigate risk pertaining to solution delivery timelines, quality, stability, and performance.

Collaborate with relevant IDA Divisions on optimizing data operational processes to continuously improve and shift left for early detection of issues/challenges in Data Solution lifecycle.

Adopt best practices and standards to capture Data Solution (including Data pipelines) and Axiom Platform performance indicators and develop feedback loops for IDA Product Teams.

Lead and collaborate on remediations (through automation/tools/process enhancements)

Plan and forecast demands based on product needs for Cloud Platform resources and identify opportunities for greater efficiency/productivity across environments.

Optimize & manage Production & Non-Production environments, highlighting potential risks with proposed solutions and/or implementations
Support for Data pipeline and DataOps in cloud and big data environment. Develop process optimization using operational metrics.

Requirements:
Experience in managing source code, change control, configuration management, and build deployment activities
Data engineering background with ETL, Big data platform (ADLS / Data Bricks / AI / ML / Synapse / DBT)
Extensive Cloud Platform experience with one or more Public Clouds (Azure / AWS / GCP). MS Azure background and experience a plus.
Experience in developing and maintaining build platforms, packaging, deployment, testing, and releases
Experience in systems integration, and developer support tools GITHUB, CICD / Harness, Release management, and configuration management, Python.
Proficiency in Microservices, Web Services, Web Applications
Any experience using Terraform or involvement in automation of infrastructure provisioning would be a major plus
Experience working in AGILE Development environment.
Experience in performance management (APM) tools, Query Performance analysis.
Outstanding analytical and problem-solving skills
Experience leading small teams and delivery with a mix of onshore/offshore developers a plus.
A minimum of an Undergraduate University Degree in Computer Science or related fields with several years of experience
by Jobble

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