.. acquisition Talent Management: To execute the performance management process with regular touch bases and final evaluation as per the decided timelines, for the assigned region Facilitate discussions of low performers with their managers and ensure creation of performance improvement plan; Track achievement .. read more
Job Description
As a Lead Software Engineer on the Productivity Engineering team, you will be responsible for the development of DevOps and test automation including environment creation of products and services, end-to-end solutions test automation that exercises critical customer paths, as well as services and workflows to run within pipelines.
What is the Vertex Productivity Engineering team? Our goal is to unleash innovation and bring operational excellence to software development with insights, tools, and infrastructure that enables frictionless delivery of features with high bars for quality, security, and reliability.
On this agile team focused on continuous improvement, you’ll connect the pathway for applications to be tested in a modern, scalable model that reduces cycle times and increases innovation. With a comprehensive understanding of software development, you’ll contribute to a common platform, but also have the knowledge of systems and testing for this to fit into the SDLC of cloud service development.
KNOWLEDGE, SKILLS, AND ABILITIES:
(MUST HAVE) CI/CD pipeline experience with cloud-centric applications across a variety of stacks
(MUST HAVE) Experience designing, developing, executing, and triaging end-to-end test automation against cloud-based products
(MUST HAVE) Development of applications/services in a cloud environment.
(MUST HAVE) Experience with AWS
Experience with Kubernetes and CNCF technologies, docker
Development of DevOps tooling used for production code, including both
creation of new services as well as integration and operation of 3rd party.
Deep understanding of software testing including unit, component, system,
end-to-end, contract, and interoperability, BDD, TDD.
Must be able to quickly acquire product knowledge, read business scenarios, and transform those into test automation.
Data-driven with working history of measuring test automation efficacy and efficiency.
Infrastructure-as-code development including Terraform and Ansible
Ability to code in multiple languages with priority of Java, .NET, Python, Go
Collaborate with teams and individuals across the organization to understand their challenges, discuss solutions, and support their use of tooling
Practitioner of agile practices and play lead roles such as Scrum Master or Product Owner
Display empathy towards engineers and their friction, work with them to
develop common solution.
Must possess strong interpersonal, organizational, presentation and facilitation skills.
Must be results oriented and customer focused.
Agile role certifications a plus, including value stream mapping practices to identify and eliminate waste in software delivery processes
ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES:
Architect and coordinate establishment of solutions level test automation,
focused on testing product portfolio of leading SaaS indirect tax software. This includes the development, execution, and triage of test automation to cover
critical customer paths
Development of shared deployment pipeline services and automation for
delivery of cloud applications through multiple environments, on multiple stacks include cloud-native Kubernetes as well as AWS EC2 instances
Develop services and tools to handle the scheduling and orchestration of
automated test suites.
Create cloud and application environment automation (infrastructure-as-code)
Data-driven analysis and monitoring for triage of failures of services/applications, pipelines, and tests
Write and structure documentation, representing architectures and user flows visually
Lead team in development of services and tools. Provide guidance on code quality and DevOps routines for the development and release of these services and tools.
Identify inefficiencies in the flow of value through the DevOps pipeline and
design improvements to accelerate and optimize
EDUCATION AND TRAINING:
Bachelor’s degree in computer science, Information Systems, or related field;
or equivalent combination of education/experience. Master’s degree is a plus.
10 years or more experience of software development with 5 or more in a lead or architect type role
