Senior Software Engineer - Ticketing Ops (Onsite, Islamabad, USD Salary)

Senior Software Engineer - Ticketing Ops (Onsite, Islamabad, USD Salary) Responsibilities

Architect and implement high-performance backend services, including real-time video processing, advanced notification systems, customer-facing APIs, and large-scale data management solutions.

Lead the design of fault-tolerant, scalable microservices that integrate seamlessly with our platform ecosystem, ensuring robustness under high load.

Design and refine advanced database schemas, indexing strategies, and caching mechanisms to maximize performance, scalability, and cost efficiency.

Drive cross-functional collaboration with frontend, AI, and platform teams to deliver end-to-end solutions, ensuring seamless integration and alignment with business goals.

Mentor junior engineers, lead code reviews, and champion engineering best practices, including CI / CD pipelines, observability, and documentation standards.

Contribute to technical roadmaps, evaluate emerging technologies, and drive innovation to enhance system performance and reliability.

Troubleshoot and resolve critical production issues, ensuring minimal downtime and optimal system performance.

Optimize complex data processing pipelines to handle massive volumes of traffic violation data with low latency and high reliability.

Establish and enforce rigorous testing standards, including unit, integration, and end-to-end tests, to ensure system reliability and maintainability.

Qualifications

6+ years of software development experience with expertise in modern programming languages (Python, ReactJS, NextJS, NodeJS, GoLang, or similar).

Proven track record of architecting and delivering scalable, production-grade microservices in high-traffic environments.

Deep expertise in API design, database optimization (relational and NoSQL), caching systems, and event-driven architectures (e.g., Kafka, RabbitMQ).

Extensive experience with software testing frameworks, CI / CD pipelines, and observability tools (e.g., Prometheus, Grafana, ELK stack).

Proficiency in designing and optimizing high-performance data pipelines for real-time or near-real-time applications. (E.g. Apache Spark etc.)

Ideally built and shipped the product end to end

Demonstrated ability to lead technical initiatives, mentor team members, and drive cross-functional collaboration.

Exceptional problem-solving skills and experience debugging complex systems in production environments.

Strong communication skills, with the ability to articulate complex technical concepts to diverse stakeholders.

Experience with video processing, or large-scale data processing in constrained environments.

Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and infrastructure-as-code tools (e.g., Terraform, Kubernetes).

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