Senior Backend Engineer (Core Digital)

• Participate in architecture reviews and influence technical decisions for new products,

platform enhancements, and modernization initiatives.

• Take ownership of backend services throughout their lifecycle, including design,

implementation, deployment, monitoring, maintenance, and continuous improvement.

• Serve as a technical leader on complex engineering initiatives by helping guide

architectural decisions, establishing engineering best practices, and influencing technical

direction across the team.

• Collaborate closely with Product Managers, Architects, DevOps, QA, Security, and

cross-functional engineering teams throughout the software development lifecycle.

• Perform thoughtful code reviews while mentoring engineers and promoting engineering

best practices across the organization.

• Improve platform observability through centralized logging, monitoring, distributed

tracing, and performance metrics.

• Contribute to CI/CD pipelines, deployment automation, and continuous delivery

initiatives that improve software quality and release velocity.

• Drive technical debt reduction, platform modernization, and adoption of modern backend

engineering practices.

• Participate in production support, incident response, root cause analysis, and continuous

reliability improvements.

• 6+ years of professional experience building backend applications in production

environments.

• Strong experience designing distributed systems and scalable service-oriented

architectures.

• Expert-level proficiency in at least one modern backend programming language such as

Go, Java, Python, C#, or a comparable language.

• Extensive experience designing and implementing RESTful APIs and/or gRPC services.

• Strong understanding of software architecture principles, including SOLID, Clean

Architecture, Domain-Driven Design (DDD), and common design patterns.

• Experience working with relational and NoSQL databases, including schema design,

query optimization, indexing, and performance tuning.

• Hands-on experience with caching technologies such as Redis or Memcached.

• Experience with asynchronous messaging and event-driven architectures using Kafka,

RabbitMQ, Google Pub/Sub, or similar technologies.

• Experience deploying and operating services within cloud environments, preferably

Google Cloud Platform (GCP) or AWS.

• Strong knowledge of Docker, Kubernetes, container orchestration, and cloud-native

application development.

• Experience implementing and maintaining CI/CD pipelines and automated deployment

processes.

• Familiarity with observability tools including centralized logging, monitoring, metrics, and

distributed tracing.

• Strong understanding of backend security best practices, including authentication,

authorization, API security, and secrets management.

• Experience working within Agile software development environments.

• Demonstrated ability to independently lead complex technical initiatives from design

through production while balancing scalability, reliability, and maintainability.

• Excellent analytical, debugging, troubleshooting, and problem-solving skills.

• Strong written and verbal communication skills.

• Advanced English proficiency. Experience supporting products serving millions of daily active users.

• Experience building highly available, low-latency backend platforms operating at internet

scale.

• Experience with event-driven architectures and streaming technologies.

• Experience with Infrastructure as Code (Terraform or similar).

• Experience optimizing cloud infrastructure for scalability, resiliency, and cost efficiency.

• Experience contributing to backend platform modernization, cloud migration, or

large-scale architectural transformation initiatives.

• Experience mentoring engineers and providing technical leadership across multiple

engineering initiatives.

• Familiarity with Site Reliability Engineering (SRE) principles, production operations, and

operational excellence.

• Experience working with AI-assisted software development tools (e.g., GitHub Copilot,

Cursor, ChatGPT, Claude Code, or similar) to improve engineering productivity and

software quality.