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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level generic backend platform role in Bengaluru at a known employer with broad skills increases candidate competition.
Platform backend skills transfer across SaaS industries, though industrial domain knowledge is a useful differentiator.
Explicit 3–6 years plus many mandatory platform, JVM, cloud, and observability skills make filtering strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate the core serverless execution engine and workflow orchestration layer enabling AI and automation capabilities.
Own reliability engineering metrics including uptime, latency SLOs, and incident response to ensure deterministic function execution and data integrity.
Architect scalable, multi-tenant, multi-cloud platform services with robust scheduling, queueing, retry mechanisms, and API-first design.
Minimum Requirements
3–6 years of engineering experience building and operating backend services at scale.
Strong expertise in JVM languages (Kotlin preferred, Java acceptable), Python (FastAPI), distributed systems, and cloud-native service design (Kubernetes, Azure, GCP, AWS).
Hands-on experience with workflow engines (e.g., Conductor, Apache Airflow) and event-driven architectures (Kafka, Pub/Sub).
Familiarity with relational and non-relational databases (e.g., PostgreSQL, Redis), object storage, and observability tools (Open-telemetry, Prometheus, Grafana).
Ideal Candidate Profile
Experienced in building highly reliable, scalable serverless and orchestration platform services supporting AI/ML workloads.
Comfortable working in multi-tenant, multi-cloud environments managing complex distributed systems.
Platform-minded engineer who values clean API design, automation, test-driven deployment pipelines, and observability instrumentation to empower downstream engineers.