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Chelsoft Solutions Co.

Senior Data Platform Engineer (Kafka AWS Observability)_Remote_ONLY ON W2

Chelsoft Solutions Co., Minneapolis, Minnesota, United States, 55400

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Senior Data Platform Engineer (Kafka AWS Observability)_Remote_ONLY ON W2

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Chelsoft Solutions Co. Get AI-powered advice on this job and more exclusive features. Job Title: Senior Data Platform Engineer (Kafka + AWS + Observability)

Location:

Remote

Citizenship:

U.S. Citizens or Green Card holders preferred

Overview

We are seeking a

Senior Data Platform Engineer

to join our team in building the next-generation

Enterprise Integration Data-as-a-Platform (TaaP)

initiative. This role is a

conversion from a Solution Architect

position to a

hands-on senior engineer , emphasizing deep technical delivery and system-level thinking.

The ideal candidate will have

strong Kafka experience , deep knowledge of

AWS (RDS & DynamoDB) , hands-on use of

observability tools , and a proven background in

platform automation . In this role, you'll contribute directly to the development of scalable, high-performance

enterprise APIs and events , enabling reliable and transparent data integration pipelines across the organization.

Key Responsibilities:

Solution Engineering & Platform Development

Design and develop core software aligned with enterprise integration goals Architect and implement data streaming, caching, and processing pipelines using Kafka and AWS Build APIs and events that are highly available, resilient, and scalable Lead and contribute to the delivery of outcomes using modern DevOps practices

Cloud Infrastructure & Automation

Manage cloud-native resources including AWS RDS, DynamoDB, and networking components Automate infrastructure with Terraform and integrate deployments with CI/CD pipelines Apply Infrastructure-as-Code and GitOps principles to daily operations

Observability & Resilience

Implement observability tooling using Prometheus, Grafana, CloudWatch, etc. Ensure systems are measurable, debuggable, and maintainable Use logs, metrics, and traces to proactively monitor platform health and performance

Collaboration & Coaching

Participate in design discussions, product planning, and cross-team initiatives Share technical expertise and coach junior developers Collaborate with platform, API, and product teams to integrate TaaP capabilities

Engineering Culture

Contribute to defining engineering standards, patterns, and practices Participate in hiring processes, mentoring, and continuous improvement Drive a strong DevOps mindset and platform ownership within the team

Required Skills & Experience

7+ years in engineering roles with enterprise-grade system delivery Expert-level experience with Apache Kafka (setup, scaling, and operations) Deep hands-on expertise in AWS RDS and DynamoDB Proficiency in observability tools (Grafana, Prometheus, CloudWatch, ELK, etc.) Strong experience in platform automation (Terraform, CI/CD with GitHub Actions or Azure DevOps) Solid grasp of microservices architecture and event-driven systems Familiarity with caching strategies, data hydration pipelines, and enterprise integration concepts Demonstrated ability to work independently and drive solutions from concept to implementation Sound knowledge of SDLC, version control, system design, and secure architecture Strong analytical, debugging, and performance tuning skills Bachelor's degree in Computer Science or equivalent work experience

Bonus Skills

Experience with enterprise data caching frameworks Familiarity with data mesh or distributed data ownership models Knowledge of Azure infrastructure and Databricks, though not required

Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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