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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 employer and Bangalore location increase applicant density despite senior, specialized distributed-systems requirements.
Highly domain-specific distributed-systems and streaming expertise required, limiting cross-industry transferability.
Explicit 14+ years, principal level, and many mandatory distributed-systems and streaming technology requirements raise screening strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Lead and contribute hands-on to architecture, design, coding, deployment, and operation of large-scale distributed streaming, messaging, and data-processing platforms supporting business-critical workloads.
Own complex technical initiatives end-to-end including solution design, implementation, rollout, validation, and ongoing production operation with measurable improvements in performance, reliability, cost, and scalability.
Drive platform enhancements by partnering with Product Management and cross-functional teams, resolving technical dependencies, mentoring engineers, and actively participating in on-call operations and incident management.
Minimum Requirements
Bachelor’s degree in Computer Science or related field or equivalent experience.
14+ years of software engineering experience required.
Strong hands-on proficiency in Java and familiarity with additional languages (Go preferred).
Experience with large-scale distributed systems, Apache Kafka, Apache Spark/Structured Streaming or Apache Flink, cloud platforms (Azure, Google Cloud, AWS), and related modern tech stacks; experience with production incident management.
Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Senior engineer with deep experience building and operating high-throughput, low-latency distributed event streaming and data pipeline platforms at production scale.
Strong technical leadership skills demonstrated by end-to-end ownership, cross-team collaboration without direct authority, mentoring, and operational accountability.
Experience in cloud-native architectures including Kubernetes, CI/CD automation, and production observability tooling (OpenTelemetry, Prometheus, Grafana).