Principal Software Engineer
New
T
TwilioCommunications SaaS
Remote - IndiaFull-TimePrincipal
Salary not disclosed
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Job Details
- Experience
- 12+ years
- Required Skills
- AWSPythonSQLGCPJavaKubernetesGoCI/CDMicroservicesDistributed Systems
Requirements
- 12+ years of experience designing and developing highly-available, high-scale, secure, mission critical native cloud enterprise SaaS applications in Java, Go or Python.
- Knowledge of architectural patterns and archetypes for building mature services, especially for distributed and multi-regional deployments.
- Excellent abilities in high level service design - modeling interfaces and internals in a proper modular, composable, and extensible way.
- Experience with AWS, GCP or other public cloud infrastructure platforms.
- Experience building distributed systems at scale based on microservices architecture.
- Extensive experience with REST API design and implementation.
- Experience working with data architecture such as Clickhouse, Lakehouse, Snowflake.
- Experience with SQL/NoSQL databases and caches.
- Familiarity with streaming systems such as Kafka, Flink, Spark.
- Experience with container technologies - Docker/Kubernetes.
- Experience implementing modern automated testing and CI/CD pipelines.
- Strong expertise in solving complex production issues.
Responsibilities
- Lead architecture and system design for complex, distributed software systems; guide teams toward scalable, maintainable solutions.
- Design, implement, and review high-quality code for core services, APIs, platforms, and/or user-facing applications.
- Translate business goals into technical roadmaps, identify tradeoffs, and align stakeholders on solution direction.
- Improve system resiliency, latency, throughput, and cost efficiency; establish SLOs/SLAs and operational practices.
- Drive standards for coding, testing, CI/CD, observability, security, and documentation; champion automation and quality.
- Partner with engineering managers, staff engineers, and product leaders to coordinate delivery across multiple teams.
- Coach and mentor engineers at all levels; lead design reviews, incident postmortems, and technical deep dives.
- Identify technical risks early (security, scalability, compliance) and drive mitigation plans.
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