Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process.
Must have skills :
Automated Testing
Good to have skills :
NA
Minimum
3
year(s) of experience is required
Educational Qualification :
15 years full time education
Summary: As a Sr. 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 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, youll 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, youll 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. Technical experience & Professional attributes: (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 public cloud providers, preferably 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. Preferred background in structuring test plans and QA models to satisfy business requirements for software systems. 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 develop applications/services in a language such as Java, .NET, Python, Go Solid working knowledge of being part of an agile team, with experience in frequent iterations, improved speed, and resilience to adapt to changing project requirements. Must possess strong interpersonal, organizational, presentation and facilitation skills. Must be results oriented and customer focused. Roles and responsibilities: Lead efforts related to the establishment of solutions level test automation, focused on testing product portfolio for leading SaaS indirect tax software. This includes the development, execution, and triage of test automation to cover critical customer paths. Analyze a test requirement and deliver the optimal automation which can include both UI and API to drive product behavior, back-end routines for establishing configuration, and delivering appropriate test environment conditions programmatically. 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 core platform capabilities such as frameworks, services, and tools to handle the scheduling and orchestration of automated test suites Create cloud and application environment automation (infrastructure-as-code) Write and structure documentation, representing designs and user flows visually Provide guidance to other teams in the development of services and tools, including code quality and DevOps routines for the development and release of these services and tools. Identify inefficiencies in environment deployments and test automation. Education qualifications: Bachelors degree in computer science, Information Systems, or related field; or equivalent combination of education/experience. Masters degree is a plus. 8 years or more experience of software development with 3 or more in a senior, lead, or architect type role
15 years full time education
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