Role Overview
We are looking for a Senior Software Engineer with strong experience in Python, React Native, GraphQL, PostgreSQL, and AWS. The role involves building scalable cloud-native applications, improving system reliability and performance, handling production support, and leading complex technical initiatives across backend, mobile, and cloud platforms.
Responsibilities
- Own the end-to-end health, scalability, and performance of services across Python backends, React Native mobile applications, GraphQL APIs, PostgreSQL databases, and AWS cloud infrastructure.
- Lead and direct large-scale, complex, cross-functional initiatives, translating business requirements into scalable technical solutions and driving execution from design through delivery.
- Architect and implement distributed systems using AWS services (e.g., Lambda, ECS, DynamoDB, S3, API Gateway, CloudWatch) with a focus on reliability, observability, performance, and cost optimization.
- Design, develop, and optimize scalable backend services and APIs using GraphQL and PostgreSQL, ensuring high availability, data integrity, and maintainability.
- Drive the discovery phase of major initiatives, partnering with Product, UX, and business stakeholders to define high-level designs, validate solutions through proofs of concept and prototypes, and secure cross-functional alignment.
- Take full ownership of production issues, leading incident response, root cause analysis (RCA), and permanent fixes, while improving system resilience to prevent recurrence.
- Serve as a technical escalation point, diagnosing complex issues across mobile, backend, and cloud systems, guiding teams through resolution, and ensuring clear communication with stakeholders.
- Elevate engineering quality by designing and enforcing comprehensive QA strategies, including automated unit, integration, and end-to-end testing for React Native applications and backend services within CI/CD pipelines.
- Review and guide mobile and backend system design, code quality, and test coverage, ensuring alignment with best practices in scalability, security, performance, and maintainability.
- Lead on-call and incident management practices, including improving monitoring, alerting, runbooks, and post-incident reviews to reduce MTTR and incident frequency.
- Monitor system and application performance proactively using observability and monitoring platforms such as Datadog, leveraging logging, metrics, tracing, and alerting to identify and resolve bottlenecks.
- Drive continuous improvement initiatives by identifying and implementing enhancements, refactoring opportunities, automation strategies, and technical debt reduction initiatives across mobile and cloud platforms.
- Contribute AI-forward thinking and innovation by identifying opportunities to leverage AI-assisted development, automation, operational intelligence, and data-driven engineering practices.
- Maintain and evolve technical documentation, including mobile architecture, API contracts, infrastructure configurations, operational playbooks, and support procedures.
- Ensure adherence to security, regulatory, and compliance standards, embedding best practices into both mobile and backend development workflows.
- Lead and support mobile releases, backend deployments, and infrastructure changes, ensuring minimal disruption and alignment with change management processes.
- Mentor engineers and provide technical leadership, fostering a culture of engineering excellence, ownership, collaboration, and continuous learning.
Requirements
- Python
- React Native
- GraphQL
- PostgreSQL
- AWS
- AWS Lambda
- AWS ECS
- DynamoDB
- S3
- API Gateway
- CloudWatch
- Distributed Systems Architecture
- CI/CD Pipelines
- Observability & Monitoring
- Datadog
- Incident Management
- Production Support
- System Reliability Engineering
- Automated Testing
- Technical Leadership
- Mentoring
Preferred Skills
- AI-assisted Development
- AI Technologies
- Operational Intelligence
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
- Proven experience building and operating production systems using Python, React Native, GraphQL, PostgreSQL, and AWS cloud technologies, with a strong focus on reliability, scalability, and quality.
- Strong experience designing and supporting distributed cloud-native architectures using AWS services such as Lambda, ECS, DynamoDB, S3, API Gateway, and CloudWatch.
- Experience implementing observability, monitoring, and alerting solutions using Datadog or similar platforms.
- Strong understanding of CI/CD pipelines, automated testing strategies, system reliability, observability, and modern software engineering best practices.
- Experience troubleshooting and resolving complex production incidents across backend, mobile, and cloud platforms.
- AI-forward mindset with interest or experience in leveraging AI technologies, automation, and intelligent tooling to improve engineering efficiency and product innovation.
- Excellent verbal and written communication skills, with the ability to collaborate effectively across technical and non-technical teams.
- Strong analytical and problem-solving skills with high attention to detail
Benefits
- Competitive salary
- Strong insurance package
- Extensive learning and development resources
