$136.40K - $179.80K/yr
Other
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Job description
We are looking for IT people who have a passion for writing quality code, have full stack development and pipeline experience. We have a mix of openings and experience levels needed under multiple product lines and initiatives in the Surface platform.
The responsibilities are to function as a contributing team member and full-stack software engineer. The job requires participating in team Scrum ceremonies (daily stand-ups, spring planning, demos, sprint reviews), estimating effort (story points) to accomplish work, and developing software systems within the technical constraints of Chevron’s IT environment.
Required:
- SAFe/Agile experience in executing delivery via Program Increments and Iterations
- Web application development experience with a Microsoft stack (.NET, Angular or React, SQL Server, Entity Framework)
- Experience with Microsoft Azure services (App Service, SQL Service, Azure Functions, virtual machines)
- Experience in CI/CD DevOps environments with automated software deployment pipelines & Azure DevOps (ADO)
- Experience writing quality and tested code that is documented
- Computer Science or other degree related to software development
- Able to coordinate with vendors and development teams on issues
- Able to coordinate with product owners to create support models & use cases
Preferred:
- Experience managing support tickets in a formal ticket management system, like Support Now
- Automation and low-code development (i.e. Power Apps, Power BI) experience
- Experience with SQL-style databases (SQL Server, Oracle) and SQL queries and scripts
- Development of Ansible Pipelines for Automated Azure deployments
- DevOps: Working knowledge of ADO, Azure Boards, Azure Pipelines, Azure Repos, Ansible, Artifactory etc
- Tools: Visual Studio Code, SDK’s, AppConfiguration, AZ Cli etc
- Basic Knowledge of Azure Compute, Storage, Database, Networking, Web Services.
- Test Automation frameworks (Protractor or Selenium preferred)
Provide technical input on backlog decisions (such as “buy vs build” decisions and pros/cons analysis of technical choices
Assist in coaching less experienced team members to higher levels of competency.
Build and deploy scalable azure pipelines for timeseries products.
Experience supporting Metegrity Visions, Coabis, Infor EAM, Mangan, and Viziya applications
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Senior Software Engineer?
A: To succeed as a Senior Software Engineer, key technical skills include expertise in programming languages such as Java, Python, or C++, as well as proficiency in software development methodologies like Agile and DevOps. Additionally, strong problem-solving skills, experience with cloud platforms like AWS or Azure, and knowledge of database management systems are highly valued. Soft skills like effective communication, leadership, and collaboration, along with traits like adaptability, continuous learning, and a customer-centric mindset, are also essential for success in this role.\n\nSummary: These technical and soft skills enable Senior Software Engineers to design, develop, and deliver high-quality software solutions, lead cross-functional teams, and drive innovation, ultimately supporting career growth and effectiveness in the role.
Q: What is the career path for a Senior Software Engineer?
A: A Senior Software Engineer's typical career progression involves starting as a Junior Software Engineer, progressing to a Mid-Level Software Engineer, and then to a Senior Software Engineer, with each role requiring increased technical expertise and leadership responsibilities. Key opportunities for skill development and growth include mastering programming languages, frameworks, and technologies, as well as developing leadership, communication, and project management skills through mentorship, team lead roles, or specialized certifications. Long-term career prospects for Senior Software Engineers may include technical leadership positions, such as Technical Program Manager or Engineering Manager, or transitioning into related fields like Product Management or Data Science.