Senior Software Engineer (C# / Python / Azure)

Job Title: Senior Software Engineer (C# / Python / Azure)

Location : New York (Need Local)

JOB DESCRIPTION

• We are seeking a highly motivated and experienced Software Engineer to support the Outage Communication Messaging Center (OCMC) Phase 4 initiative focused on upgrading and modernizing the Business Rule Engine platform. The selected candidate will play a key role in designing, developing, testing, and implementing scalable business rule solutions that enhance outage communication workflows, customer notifications, operational efficiency, system reliability, and enterprise integration capabilities.
• This role requires strong software engineering, automated testing, problem-solving, and collaboration skills, with the ability to work across business and technology teams in a fast-paced utility environment.
• Key Responsibilities
• This role will work within a small agile team to develop a cloud-based software solution as a component of a broader ETL process. Some of the key responsibilities include:
• Design, develop, enhance, test, and maintain applications supporting the OCMC Business Rule Engine Upgrade initiative.
• Analyze existing outage communication workflows and implement scalable rule-based automation solutions.
• Develop and maintain APIs, services, and integrations between enterprise systems, business rule platforms, and customer communication channels.
• Design, develop, and maintain automated test frameworks, scripts, and validation processes for business rule logic, integrations, and messaging functionality.
• Develop automated regression, functional, integration, API, performance, scalability, and end-to-end test cases.
• Collaborate with business stakeholders, product owners, business analysts, release managers, QA teams, and development teams to gather requirements, define testing strategies, and establish acceptance criteria.
• Support migration, modernization, and validation of legacy business rules and messaging components into upgraded platforms.
• Perform system analysis, coding, testing, debugging, defect troubleshooting, root cause analysis, and deployment activities throughout the software development lifecycle.
• Support CI/CD pipeline integration for automated testing execution, reporting, and release validation.
• Create and maintain technical documentation, solution designs, process flows, implementation procedures, test plans, test cases, defect reports, and quality metrics.
• Participate in Agile ceremonies including sprint planning, daily standups, backlog grooming, retrospectives, and release readiness activities.
• Support production releases, incident resolution, post-deployment validation, and continuous improvement of outage communication systems.
• Ensure compliance with cybersecurity, governance, quality assurance, and enterprise architecture standards.
• The role is hybrid and will require the capability of being onsite on occasion in a New York City office.
• Skills
• The ideal candidate will have excellent technical skills and experience, including –
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
• 5+ years of software engineering, application development, quality engineering, or automated testing experience.
• Experience delivering enterprise full-stack software solutions in Agile environments.
• Experience developing enterprise applications using C#, Python, Scala, .NET, or similar programming languages.
• Knowledge of relational databases such as SQL Server or PostgreSQL, NoSQL platforms such as Cosmos DB or Redis, data modeling, data validation, and query optimization.
• Experience with REST APIs, web services, system integrations, and enterprise application testing.
• Experience with cloud development and deployment concepts across Azure, AWS, or GCP, including SaaS, PaaS, and IaaS models.
• Strong experience with automated testing tools and frameworks such as Selenium, Cypress, Playwright, JUnit, TestNG, or similar technologies.
• Knowledge of Business Rule Engines, workflow automation, decision-based systems, or rules-driven processing platforms.