Fink Data Streaming Developer - Immediate Openings

ADROITENT; Hyderabad; Hybrid; INR 4,500,000 - 7,500,000; Full time

Job summary

Adroitent Inc. is seeking a Senior Flink Streaming Developer with deep expertise in Apache Flink on AWS and real-time streaming architectures.

You will design, deploy, and operate large-scale streaming applications using AWS Managed Service for Apache Flink (MSF) to meet high throughput and low latency requirements. The role emphasizes stateful processing, event-time handling, checkpoints, and fault-tolerant design, with strong production support, incident analysis, and performance optimizations

Qualifications

• Deep expertise in Apache Flink and AWS Managed Service for Flink (MSF) in production settings.
• Hands-on experience designing, deploying, tuning, and operating large-scale streaming apps.
• Strong knowledge of stateful processing, fault tolerance, and latency optimization.

Responsibilities

• Deploy and manage Flink applications on AWS MSF in production.
• Configure, tune, and monitor Flink clusters for throughput and latency targets.
• Troubleshoot runtime issues, checkpoint failures, and backpressure scenarios.
• Design streaming architectures with exactly-once/at-least-once semantics.
• Provide production support, incident analysis, and reliability improvements.

Skills

Apache Flink

AWS MSF

DataStream API

Table API

SQL API

Stateful processing

Event time processing

Checkpointing

Fault tolerance

Backpressure management

RocksDB state backend

Flink Connectors

Job description

D:

AWS Managed Apache Flink Streaming Developer(Java/Python)

Flink DataStream API, Table API, SQL API, stateful stream processing, event-time processing, checkpointing, fault tolerance, and performance optimist

We are seeking a highly skilled Senior Flink Streaming Developer with strong expertise in Apache Flink on AWS, real-time streaming architectures, and Java-based distributed systems. The ideal candidate should have extensive hands‑on experience designing, developing, deploying, tuning, and operating large-scale streaming applications using AWS Managed Service for Apache Flink (MSF).

The candidate should possess deep knowledge of Flink DataStream API, Table API, SQL API, stateful stream processing, event-time processing, checkpointing, fault tolerance, and performance optimization. Experience operating Flink applications in production environments with high throughput and low latency requirements is essential.

AWS Flink Operations

• Deploy and manage applications using AWS Managed Service for Apache Flink.
• Configure and optimize Flink clusters for production workloads.
• Monitor application performance, resource utilization, and operational health.
• Troubleshoot runtime issues, state management problems, checkpoint failures, and backpressure scenarios.

Performance Tuning

• Perform Flink job optimization and performance tuning.
• Analyze:
• Job latency
• Throughput
• Checkpoint duration
• State size
• Memory utilization
• TaskManager and JobManager performance
• Tune:
• Parallelism
• Checkpoint intervals
• State backends
• RocksDB configurations
• Network buffers
• Memory allocation

Architecture & Design

• Design streaming architectures supporting exactly-once and at-least-once processing semantics.
• Implement stateful stream processing patterns.
• Design resilient event-driven systems with fault tolerance and recovery strategies.
• Participate in architecture reviews and provide recommendations for scalability and operational excellence.

Production Support

• Support production deployments and release management activities.
• Perform root cause analysis for production incidents.
• Establish monitoring, alerting, and observability standards.
• Ensure SLAs for latency, availability, and throughput are maintained.

Strong hands‑on experience with:

• Apache Flink Architecture
• Flink DataStream API
• Flink Table API
• Flink SQL API
• Stateful Stream Processing
• Event Time Processing
• Watermarks
• Windows & Triggers
• Side Outputs
• Broadcast State
• Async I/O
• Checkpointing
• Savepoints
• Fault Tolerance
• Backpressure Management
• RocksDB State Backend
• Flink Connectors