Location
In office (Chennai)
Seniority
Staff · 7+ years exp
Visa
Sponsors visas in United States; no register of this country names it

Removed from the employer's board on Nov 14, 2026. First seen by Alion on Nov 14, 2026. Cambridge Mobile Telematics scores B on the Alion truth index.

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Cambridge Mobile Telematics is a telematics company that measures driving behaviour using smartphones, tags and connected vehicle data. Its DriveWell platform powers usage-based insurance and safe-driving programs for auto insurers, as well as crash detection and fleet services, and it works with insurers and automakers worldwide. It was founded in 2010 as an MIT spin-off. The company is headquartered in Cambridge, Massachusetts, United States.

CMT is seeking a collaborative, customer-committed, hands-on Principal Software Engineer I, Backend to join our Data & Platform group and strengthen the shared engineering foundation used across CMT. In this role, you will design and evolve scalable, reliable, and reusable platforms across cloud infrastructure, data platforms, developer tooling, observability, core services, messaging, and AI-enabled engineering capabilities. You will work across teams to establish practical architecture and engineering standards, improve reliability and developer experience, and build self-service capabilities that help CMT engineers develop, deploy, and operate products at scale. This role is based in Chennai and requires working from the CMT Chennai office three days per week.


Responsibilities:

  • Lead the design and implementation of scalable, reliable backend services and APIs
  • Use independent judgment to solve complex technical problems and make sound architectural decisions
  • Provide technical direction for projects that span multiple services or teams
  • Work with product managers, engineers, data teams, and other stakeholders to balance technical needs with customer and business requirements
  • Design systems that balance reliability, performance, scalability, security, operability, and cost
  • Identify and address performance bottlenecks, reliability issues, and recurring production problems
  • Lead design and code reviews for complex changes and help maintain a high bar for engineering quality
  • Improve engineering practices around testing, deployment, observability, and operational readiness
  • Troubleshoot complex production issues and provide technical leadership during critical incidents when required
  • Mentor engineers through design discussions, reviews, and day-to-day technical guidance
  • Contribute to technical roadmaps and identify changes needed to support future scale and product requirements


Qualifications:

  • Bachelor's degree or equivalent years of experience and/or certification in Computer Science, Engineering, or a related technical field
  • 7+ years of relevant professional software engineering experience
  • Strong experience designing and building backend services, APIs, and distributed systems
  • Proficiency in at least one backend programming language such as Python, Go, Java, or C++
  • Strong understanding of relational databases, data modeling, schema design, and performance optimization
  • Experience with cloud platforms such as AWS and services across compute, storage, databases, messaging, and serverless technologies
  • Experience with automated testing, CI/CD, code reviews, and operating production systems
  • Experience diagnosing complex production issues using logs, metrics, traces, and other observability tools
  • Experience using AI-assisted development tools in day-to-day software engineering workflows
  • Demonstrated ability to work independently on complex problems and influence technical decisions across teams
  • Strong communication and collaboration skills


Nice to Haves:

  • Experience building and operating high-throughput or large-scale backend systems
  • Experience with event-driven architectures, message queues, or streaming systems
  • Hands-on experience with Docker and container orchestration platforms such as ECS or Kubernetes
  • Experience with infrastructure-as-code tools such as Terraform or Terragrunt
  • Experience defining and operating service-level metrics, monitors, alerts, and SLOs
  • Knowledge of application and API security, authentication, authorization, and secure service design
  • Experience with data pipelines or backend systems that support analytics, machine learning, or large-scale data processing

Skills

API, AWS, Backend, C++, Distributed Systems, Go, Java, Kubernetes, Python, Terraform

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