(2248) Platform Engineer

A Platform Engineer at IAMUS Consulting focuses on developing software components and integrating open-source code to solve complex time series analysis challenges using AWS and Python. The role involves enhancing existing systems, implementing core architecture, and managing virtual infrastructure, all while collaborating with other skilled engineers in a hybrid work environment.

To be considered for the Platform Engineer role at IAMUS Consulting, candidates must hold a security clearance and have extensive experience in Platform Engineering or Software Development, with strong knowledge of AWS, Linux systems, and Python programming. A relevant degree or equivalent experience is essential, along with DoD 8140/8570 compliance certifications.

IAMUS Consulting provides a hybrid work environment, allowing Platform Engineers to work remotely while also spending a few days in the Columbia, MD office. This flexibility enhances work-life balance and enables team members to collaborate effectively while enjoying the comfort of working from home.

In addition to essential qualifications, preferred skills for the Platform Engineer role at IAMUS Consulting include experience with DISA’s Big Data Platform, Kubernetes, CI/CD pipelines, and agile methodologies. Familiarity with automation tools like Puppet and Ansible, and virtualization technologies is also advantageous.

IAMUS Consulting offers a comprehensive benefits package for Platform Engineers, which includes health, life, and disability insurance, retirement plans, paid leave, and opportunities for professional development and tuition assistance. The company is dedicated to fostering a supportive environment where employees can thrive.

When developing software components for cloud platforms like AWS, I start by thoroughly understanding the requirements and architecture needed for the project. I ensure I have a clear design in place, leveraging AWS services and Python programming effectively to meet scalability and performance needs.

My experience with infrastructure as code includes utilizing tools like Terraform and AWS CloudFormation to define, manage, and provision cloud resources programmatically, which helps in automating the deployment processes and maintaining consistency across environments.

To optimize existing code bases, I typically conduct code reviews, identify performance bottlenecks, and refactor inefficient algorithms. I apply best practices and design patterns to enhance maintainability while ensuring that any optimizations align with the overall architecture goals.

I have extensive experience with Linux systems, having managed servers, executed scripts, and understood system processes. I frequently use shell scripting (Bash) to automate tasks, monitor systems, and perform batch operations efficiently.

Ensuring compliance with security standards in cloud environments involves implementing best practices like least privilege access, continuous monitoring, and regular audits. I rely on frameworks (such as NIST or CIS benchmarks) and security tools to maintain compliance and proactively identify vulnerabilities.

I have worked with CI/CD pipelines using tools like GitLab-CI and Jenkins, which streamline our development process by automatically testing and deploying code changes, enabling frequent releases without compromising quality. This enhances team productivity and facilitates quick responses to user feedback.

My understanding of Agile development methodologies encapsulates iterative development, continuous feedback, and adaptability to change. I participate in sprints and stand-up meetings to align with team goals, ensuring effective collaboration throughout the project lifecycle.

Working with Big Data systems has taught me the importance of handling vast volumes of data efficiently and the need for effective data processing frameworks like Hadoop and Spark. I've also learned how to build scalable data pipelines that ensure timely access to insights.

In my last role, I encountered a bottleneck in our data aggregation process. I analyzed the workflow, identified inefficiencies, and implemented a distributed data processing solution that reduced processing time by 40%, significantly enhancing our system's performance and reliability.

I'm motivated to work as a Platform Engineer by the opportunity to create impactful solutions that streamline processes and enhance system capabilities. I enjoy tackling complex technical challenges, collaborating with innovative teams, and continuously improving my skills in a rapidly evolving field.