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Senior Cloud Data Platform Engineer (AWS Platform Engineering)

Raas Infotek
Full TimeseniorHybrid
Toronto, Ontario, CAPosted 8 days ago

Role Overview

Raas Infotek is hiring a Senior Cloud Data Platform Engineer (AWS Platform Engineering). This is a full-time hybrid role, based in Toronto. Part of Raas Infotek's Backend hiring, posted last week. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Senior-level Backend roles is $165k-$210k (based on 53 comparable listings). Many employers share specifics during the interview process or after an initial screen.

Resume Keywords to Include

Make sure these keywords appear in your resume to improve ATS scoring

PythonTypeScriptSQLAWSLinuxUnixAirflowAgile

Job description

Hi,

I hope you are doing well.

We have an urgent opening for the position below. If you are interested, please share your updated resume along with your rate expectation.

Job Title: Senior Cloud Data Platform Engineer (AWS Platform Engineering)

Location :- Toronto, ON (Hybrid/Remote options)

Role Overview

We are seeking a highly skilled Senior Cloud/Data Engineer to design, build, and operate scalable data and application platforms on AWS. This role requires strong expertise in distributed systems, cloud-native services, and backend engineering, with a focus on reliability, security, and performance.

You will work on modern data pipelines, event-driven architectures, and cloud-based applications while collaborating closely with cross-functional teams.

Key Responsibilities

Cloud Data & Platform Engineering

Design, develop, and optimize data pipelines using Amazon Redshift, RDS, and DataSync/SFTP

Build scalable ETL/ELT workflows using AWS Lambda and Managed Airflow (MWAA)

Ensure high availability, performance, and cost-efficiency of data platforms

Event-Driven & Distributed Systems

Develop and maintain event-driven architectures using Amazon SQS and SNS

Implement scheduling and orchestration logic using AWS-native Schedulers

Build containerized services deployed on Amazon ECS

Application & System Design

Design robust, scalable systems with strong emphasis on performance and fault tolerance

Participate in system design and application architecture reviews

Define best practices for service design, resilience, and observability

Software Development

Develop backend services and data workflows using Python and/or TypeScript

Write clean, maintainable, and testable code

Improve developer productivity through reusable components and frameworks

Database Management

Design and manage relational databases, focusing on:

Transaction management

Performance tuning and indexing

Data integrity and consistency

Write efficient and optimized SQL queries

Infrastructure & Security

Apply strong fundamentals in:

Networking concepts (VPC, subnets, routing, security groups)

Cryptography and data protection

Ensure compliance with security best practices and data governance standards

Systems & Operations

Work in Unix/Linux environments for deployment, troubleshooting, and system tuning

Monitor system performance and resolve production issues proactively

Required Qualifications

6+ years of experience in cloud engineering, backend development, or data engineering

Strong hands-on experience with:

AWS services: Redshift, RDS, Lambda, SQS, SNS, ECS, Managed Airflow

Proficiency in Python and/or TypeScript

Deep understanding of:

SQL and relational databases

Distributed systems and system design

Experience with event-driven architectures

Solid knowledge of:

Networking fundamentals

Security and cryptography principles

Strong experience working in Linux/Unix environments

Preferred Qualifications

Experience with large-scale data platforms or analytics systems

Exposure to data migration tools (DataSync, SFTP pipelines)

Familiarity with CI/CD pipelines and DevOps practices

AI/ML knowledge or experience integrating AI capabilities into applications is a strong plus

Soft Skills

Strong problem-solving and analytical thinking

Excellent communication and collaboration skills

Ability to work in fast-paced, agile environments

Ownership mindset and attention to detail

Thanks & Regards

Puja Tiwari

Raas Infotek Corporation.

262 Chapman Road, Suite 105A,

Newark, DE-19702

Direct No:302-286-9720 Ext: 138

puja.tiwari@raasinfotek.com

About Raas Infotek

Raas Infotek logo

Raas Infotek

raasinfotek.com

BackendHybrid

Frequently Asked Questions

How do I apply for the Senior Cloud Data Platform Engineer (AWS Platform Engineering) position at Raas Infotek?

Use the Apply button above to submit your application directly to Raas Infotek. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Is the Senior Cloud Data Platform Engineer (AWS Platform Engineering) role at Raas Infotek remote or in-office?

This is a hybrid role based in Toronto. Expect a mix of in-office and remote days, with the specific cadence set by the hiring manager.

What does a Senior Cloud Data Platform Engineer (AWS Platform Engineering) at Raas Infotek earn?

Raas Infotek has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Cloud Data Platform Engineer (AWS Platform Engineering) role at Raas Infotek posted?

This role was posted on July 8, 2026 (8 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

How much experience does the Senior Cloud Data Platform Engineer (AWS Platform Engineering) role at Raas Infotek require?

This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Raas Infotek lists their specific requirements in the description below, so review the must-have qualifications closely before applying.

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