Senior Software Engineer - Notification Platform

In this role, you will lead the development of core platform services, tackle complex system challenges, and contribute to major architectural decisions. You’ll collaborate closely with product managers and engineering partners across GM, driving features end‑to‑end while ensuring performance, reliability, and operational excellence. As a senior engineer, you will also mentor teammates, influence best practices, and help shape the technical direction of a platform used across multiple products and organizations.

What You'll Do

• Lead medium-to-large technical initiatives, coordinating across teams to align requirements, dependencies, and milestones.

• Participate in the full software development lifecycle, including design, development, code review, testing, and deployment of services.

• Contribute to software project delivery efforts by writing clean, maintainable code following company development standards and best practices.

• Collaborate with partner teams and product stakeholders to define technical approaches and deliver capabilities end‑to‑end.

• Improve system resiliency, observability, and operational efficiency through automation, monitoring, and SLO‑focused engineering.

• Contribute to architectural discussions and drive adoption of best practices for distributed systems and cloud-native design.

• Mentor junior engineers through design reviews, code reviews, and technical guidance.

• Advocate for engineering quality, including robust testing, CI/CD usage, and strong documentation.

Your Skills & Abilities (Required Qualifications)

• Bachelor's Degree in Computer Science or related field, or equivalent work experience. 

• 6+ years of industry experience in designing and operating distributed systems or high availability high throughput production systems .

• Experience contributing to the successful delivery and deployment of software projects.

• Proficiency in one or more programming languages ( Java, C++, Python , or similar).

• Experience with microservices , asynchronous messaging, event-driven architectures, or service-oriented systems.

• Hands-on experience with cloud platforms ( Azure, AWS, or GCP ) and containerization ( Docker, Kubernetes ).

• Strong understanding of databases ( SQL and NoSQL ), data modeling, and caching strategies.

• Familiarity with observability concepts (logs, metrics, traces) and operating services in production.

• Proven ability to collaborate across engineering teams and work on projects spanning multiple products or systems.

• Strong communication skills, with the ability to break down complex problems and articulate clear solutions.

• A strong sense of ownership and accountability for mission-critical systems.

• Technical depth combined with practical decision-making and an iterative mindset.

• Strong communication skills and a collaborative mindset.

• A passion for mentoring, elevating engineering teams, and building high-performing cultures.

• Curiosity and initiative to explore new technologies, improve platforms, and simplify complex systems.

• Ability to balance short-term delivery with long-term platform health and scalability.

• A mindset focused on customer impact, operational quality, and continuous improvement.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Master's Degree in Computer Science or related field, or equivalent work experience.

• Experience with mission-critical services requiring strict SLAs, SLOs, and 24/7 reliability.

• Experience with messaging platforms, notification systems , or event streaming technologies .

• Hands-on experience with container orchestration ( Kubernetes, Helm, service mesh ).

• Hands-on experience with Azure cloud services or equivalent cloud-native technologies.

• Experience improving CI/CD pipelines to enhance developer efficiency and deployment reliability.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.

• The salary range for this role is : $174,900 - $222,000. The actual base compensation within the identified range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays.