Software Engineer L3

New
T
TwilioTelecommunications compliance
This role will be remote, and based in India.Full-TimeMiddle
Salary not disclosed
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Job Details

Experience
5+ years of experience
Required Skills
AWSPythonJavaKafkaKubernetesCI/CDTerraformMicroservices

Requirements

  • Have 5+ years of experience designing and developing highly available, high-scale, secure, mission-critical cloud-native distributed systems.
  • Demonstrate strong proficiency in Java or Python.
  • Have solid knowledge of AWS ecosystems, including Lambda, EKS, DynamoDB, and Kafka.
  • Bring hands-on experience with cloud-native infrastructure, microservices patterns, and resilient systems.
  • Have practical experience using AI tools such as Copilot, Claude, or Cursor for software delivery, debugging, code synthesis, or prototyping.
  • Have experience building and maintaining high-volume public-facing APIs with a focus on developer experience.
  • Have experience with high-throughput data processing and storage solutions, such as SQL/NoSQL, Redis, Kafka, or Spark.
  • Be familiar with Kubernetes, Terraform, and modern CI/CD paradigms.
  • Demonstrate the ability to influence technical decisions through communication and technical credibility.
  • Desired: experience building internal platforms for developer teams.
  • Desired: experience building or integrating AI agents into developer platforms or automated operations workflows.

Responsibilities

  • Contribute to the architecture and technical roadmap for the Phone Numbers Platform, including transition of legacy systems to distributed microservices.
  • Use AI coding assistants and LLMs to accelerate code generation, testing, and prototyping.
  • Make architectural decisions that balance feature delivery with reliability and security.
  • Partner with Product Managers to translate telecommunications regulations and customer needs into APIs and application workflows.
  • Mentor junior and mid-level engineers and support their use of AI-generated logic.
  • Identify and mitigate technical risks, including scalability bottlenecks and security vulnerabilities.
  • Lead the team through production incidents and pursue long-term remediation.
  • Document technical designs and system trade-offs in design documents and RFCs.
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