Software Integration Engineer 3 (IDN - 094)

To qualify for the Software Integration Engineer 3 position at SageCor Solutions, candidates must possess a Bachelor's Degree in Computer Science or a related field along with a minimum of eight years of relevant experience. Alternatively, equivalent years of experience in lieu of a degree, or an industry-recognized certification is acceptable. The ideal candidate should also have a strong technical background in integrating and supporting COTS/GOTS software across various operating environments.

A Software Integration Engineer 3 at SageCor Solutions will be responsible for developing software tools and services in a PaaS Linux environment. This involves working with open-source software on our cloud platform, using container technologies like Docker and Kubernetes. You will also play a vital role in increasing the efficiency of software production while embracing a culture of DevOps, ensuring that our engineering services remain top-notch.

The essential technical skills required for the Software Integration Engineer 3 role at SageCor Solutions include proficiency in Linux CLI, scripting experience in Bash and Python, and knowledge of containerization tools like Docker. Additionally, candidates should have strong capabilities in Kubernetes administration, Infrastructure as Code principles, and familiarity with monitoring tools such as Prometheus and Grafana.

At SageCor Solutions, we prioritize continuous learning and professional development for our Software Integration Engineers. We provide opportunities for attending workshops, obtaining certifications, and engaging in training programs designed to enhance technical knowledge and skills. Your growth is important to us, and we encourage team members to pursue their career ambitions with support from our experienced leadership.

The work culture at SageCor Solutions is dynamic, collaborative, and innovation-driven. Software Integration Engineers enjoy a supportive environment where teamwork and open communication are encouraged. We embrace a DevOps culture that fosters creativity and problem-solving, allowing engineers to take ownership of their projects while collaborating closely with other departments to drive success.

As a Software Integration Engineer 3 at SageCor Solutions, you will work with a variety of cutting-edge technologies including Docker, Kubernetes, and various automation tools like Ansible, SaltStack, or Puppet. Additionally, you’ll engage with system monitoring tools such as Prometheus and Grafana, and utilize the Atlassian Tool Suite for project management and collaboration. This diverse tech stack allows for significant professional growth and learning opportunities.

SageCor Solutions is committed to fostering an inclusive and equitable workplace for all employees, including its Software Integration Engineers. We value diversity, personal integrity, and professional excellence. Our hiring practices are designed to ensure equal opportunities for employment without discrimination based on race, gender, sexual orientation, or other protected characteristics, encouraging a rich cultural exchange and collaboration within our teams.

When answering this question, highlight specific projects where you successfully implemented Docker. Discuss how Docker helped streamline application deployment or enhance development workflows. Be sure to mention any challenges you faced and how you overcame them, demonstrating your problem-solving ability and technical knowledge.

In responding to this question, outline your systematic approach to troubleshooting. Discuss the tools you typically use, such as logging or monitoring software, and provide an example of a challenge you’ve encountered in a Linux cluster. Detail the steps you took to diagnose the issue and how you resolved it, showcasing your analytical and technical skills.

Explain the importance of Infrastructure as Code by emphasizing its ability to automate infrastructure management, reducing human error and increasing deployment speed. Share specific experiences where you employed tools like Ansible or Terraform, and describe the impact this had on your team’s efficiency in deploying services.

Provide details about your experience managing Kubernetes clusters, including any challenges you encountered, such as scaling issues or network configurations. Mention how you addressed these challenges, underscoring your understanding of best practices in cluster management and your technical troubleshooting ability.

Focus on specific tasks or projects that involved scripting with Bash and Python. Discuss how these scripts improved processes, contributed to automation, or saved time for your team. Highlight your understanding of scripting best practices and any personal achievements related to coding efficiency.

Discuss your experience utilizing automation tools in managing infrastructure or deployments. Highlight specific projects where you implemented these tools, the outcomes achieved, and how you integrated them into existing workflows to improve efficiency or reduce configuration drift.

Elaborate on a specific example that illustrates your ability to work collaboratively with diverse teams. Highlight the importance of communication, coordination, and shared goals. Discuss any challenges encountered and how they were resolved to achieve project success.

Share your approach to continuous learning, including attending workshops, reading relevant publications, and engaging with the developer community. Highlight how these strategies have not only kept you updated but also enhanced your performance as a Software Integration Engineer.

Explain your familiarity with version control systems like Git, focusing on branching strategies and code reviews. Discuss specific processes you follow to maintain code quality and how this practice has contributed to successful project outcomes.

Discuss your experience using tools like JIRA and Confluence for project management and documentation. Highlight specific examples of how these tools facilitated team collaboration, helped track progress, and improved transparency in project workflows.