AWS Managed Apache Flink Streaming Developer(Java/Python)

ADROITENT; Hyderabad, Pune District, Bengaluru; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Adroitent Inc. is seeking a Senior Flink Streaming Developer to design, build, deploy, and optimize real-time data pipelines on AWS Managed Service for Apache Flink.

You will work with Java/Python, implement exactly-once and at-least-once semantics, and ensure low-latency processing in production environments. The role requires 7+ years of hands-on experience with Flink, DataStream/Table/SQL APIs, and expertise in cluster tuning, checkpointing, fault tolerance, and performance optimization on

Qualifications

• 7+ years of hands-on streaming experience.
• Deep knowledge of Flink DataStream, Table, and SQL APIs.
• Experience deploying Flink on AWS Managed Service for Apache Flink.
• Production experience with high throughput, low latency.
• Strong troubleshooting and performance optimization skills.

Responsibilities

• Design and implement real-time streaming pipelines on AWS MSF.
• Tune and optimize Flink applications for throughput and latency.
• Monitor, troubleshoot, and maintain production Flink jobs.
• Collaborate with architecture reviews and release management.

Skills

Apache Flink

Flink DataStream API

Flink Table API

Flink SQL API

Stateful Stream Processing

Event Time Processing

Checkpointing

Fault Tolerance

Java

Python

Tools

AWS MSF

Job description

Dear Candidate,

Hope you are doing well,

We have an immediate openings for Bangalore / Hyderabad / Pune

Job description.

Location : Bang/Pune/Hyd

Experience : 7+ years

JD:

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

Best Regards,

Jyothi