Senior Software Engineer
Sibros Technologies16 hours ago
Pune, IndiaSenior
Responsibilities
- Architect end-to-end real-time and batch data processing pipelines for telemetry, predictive diagnostics, trip intelligence, and geofence-based alerting.
- Make system-level design decisions and guide technology tradeoffs for high-throughput, low-latency distributed systems.
- Mentor junior and mid-level engineers, conduct design reviews, and improve data engineering practices.
- Collaborate with firmware, frontend, product, and data science teams to translate business requirements into scalable systems.
- Own the reliability, scalability, performance, observability, and cost efficiency of production data pipelines.
- Lead incident postmortems, establish SLAs and SLOs, and drive long-term stability and technical debt improvements.
- Shape technical direction for streaming-first and hybrid batch-stream architectures.
Requirements
- 7+ years of software engineering experience building and scaling distributed systems in production.
- Strong knowledge of data structures, algorithms, concurrency, and distributed computing.
- Experience designing and maintaining large-scale, low-latency systems for real-time and batch processing.
- Hands-on experience with event-driven architectures and messaging systems such as Apache Kafka or Pub/Sub.
- Strong proficiency with Apache Beam, Apache Flink, Google Cloud Dataflow, or equivalent stream-processing frameworks.
- Production programming experience in Go or Java.
- Experience with Kubernetes, serverless compute, containerized deployments, and cloud-native infrastructure.
- Proficiency with Google Cloud Platform or Amazon Web Services and services including BigQuery, S3/GCS, IAM, and managed Kubernetes.
- Familiarity with Prometheus, Grafana, OpenTelemetry, and production operational excellence.
- Ability to design pragmatic, scalable, fault-tolerant, and cost-effective systems in ambiguous environments.
- Preferred experience with large-scale IoT or telemetry applications, streaming and batch processing, cloud-native architectures, analytical databases, schema evolution, data contracts, change data capture, event sourcing, geospatial data, and real-time alerting.
- Open-source contributions or participation in relevant data and infrastructure communities is valued.
Benefits
- Competitive compensation package with performance incentives.
- Flexible working hours to accommodate different time zones.
- Comprehensive health insurance and wellness benefits.
- Continuous learning and development opportunities.
- Dynamic, collaborative work environment with opportunities for rapid career advancement.
- Work-life balance culture in an automotive IoT environment.
Tech Stack
Apache BeamApache FlinkApache KafkaAWSAzureClickHouseGoGoogle BigQueryGoogle CloudGoogle Cloud PlatformGrafanaInfluxDBJavaKubernetesPrometheus
Categories
BackendData Engineering
About Sibros Technologies
Sibros Technologies builds a connected vehicle software platform for automakers to manage over-the-air updates, collect vehicle data, and run remote diagnostics across ECUs from edge to cloud. It sells its platform as SaaS with embedded components and professional services for integration, supporting vehicle lifecycle management and compliance needs. Founded in 2018 and headquartered in Folsom, California, the privately held company serves global automotive, EV, and autonomous vehicle programs.