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Platform Engineer III
Actively Reviewing
Strategic Data Systems
Job Description
23rd April, 2026
For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients' critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.
Enhanced Job Description (Client-Ready)Job Title: Platform Engineer IV Location: Remote (EST/CST Preferred)
Experience Level: 5–20 Years
Overview We are seeking a highly capable Platform Engineer IV to design, build, and scale enterprise-grade platform solutions that support high-volume, real-time applications. This role sits at the intersection of full-stack engineering, cloud infrastructure, and data platforms, requiring both strong development capabilities and system-level thinking.
This engineer will contribute to high-availability distributed systems, public APIs, and data-intensive workflows while partnering with Data Science, DevOps, and Infrastructure teams.
Core Responsibilities
For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients' critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.
Enhanced Job Description (Client-Ready)Job Title: Platform Engineer IV Location: Remote (EST/CST Preferred)
Experience Level: 5–20 Years
Overview We are seeking a highly capable Platform Engineer IV to design, build, and scale enterprise-grade platform solutions that support high-volume, real-time applications. This role sits at the intersection of full-stack engineering, cloud infrastructure, and data platforms, requiring both strong development capabilities and system-level thinking.
This engineer will contribute to high-availability distributed systems, public APIs, and data-intensive workflows while partnering with Data Science, DevOps, and Infrastructure teams.
Core Responsibilities
- Engineer scalable, resilient platform solutions supporting high-throughput systems
- Design and develop public-facing APIs and backend services using Java/Spring Boot
- Build modern front-end interfaces using Angular
- Drive architecture decisions and mentor engineers on best practices
- Partner with Data Engineering and Data Science teams to enable ML-driven features
- Work with Kafka, Spark, Hadoop for real-time and batch data processing
- Develop and maintain ETL/data warehouse integrations
- Implement monitoring, alerting, and observability best practices
- Automate infrastructure and deployment pipelines
- Ensure uptime, performance tuning, and platform scalability
- Support cloud and on-prem infrastructure provisioning and operations
- Strong hands-on experience with:
- Java + Spring Boot
- Angular (modern versions)
- Experience building and maintaining APIs at scale
- Solid understanding of distributed systems and microservices architecture
- Linux systems and networking fundamentals
- Experience with CI/CD, automation, and system monitoring
- AWS (or other cloud platforms)
- Kafka / Streaming architectures
- Python for data or scripting use cases
- Exposure to big data ecosystems (Spark, Hadoop)
- Full-stack engineer with strong backend bias
- Comfortable operating in platform-heavy, production environments
- Experience supporting high-scale systems with uptime accountability
- Strong communicator who can collaborate across engineering, data, and operations
Required Skills
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