Hands-on experience with observability tools such as Dynatrace, Splunk, CloudWatch, Grafana, or ... and internship opportunities. * Global Impact: collaborate on impactful projects for top global ...
Hands-on experience with observability tools such as Dynatrace, Splunk, CloudWatch, Grafana, or ... and internship opportunities. * Global Impact: collaborate on impactful projects for top global ...
Hands-on experience with observability tools such as Dynatrace, Splunk, CloudWatch, Grafana, or ... and internship opportunities. * Global Impact: collaborate on impactful projects for top global ...
Quick apply
Hands-on experience with observability tools such as Dynatrace, Splunk, CloudWatch, Grafana, or ... and internship opportunities. * Global Impact: collaborate on impactful projects for top global ...
... internship, or research experience in machine learning, robotics, computer vision, or related ... ML observability, model monitoring, drift detection, or data quality monitoring tools. • ...
... internship, or research experience in machine learning, robotics, computer vision, or related ... ML observability, model monitoring, drift detection, or data quality monitoring tools. • ...
... internship, or research experience in machine learning, robotics, computer vision, or related ... Exposure to production ML observability, model monitoring, drift detection, or data quality ...
... internship, or research experience in machine learning, robotics, computer vision, or related ... Exposure to production ML observability, model monitoring, drift detection, or data quality ...
Associate Data Engineer
$110K - $132K/yr
Knowledge of data quality tools, monitoring, or observability platforms * Experience with ... Previous internship or project experience in data engineering or analytics * Familiarity with value ...
Associate Data Engineer
$110K - $132K/yr
Knowledge of data quality tools, monitoring, or observability platforms * Experience with ... Previous internship or project experience in data engineering or analytics * Familiarity with value ...
... internship, or research experience in machine learning, robotics, computer vision, or related ... Exposure to production ML observability, model monitoring, drift detection, or data quality ...
... internship, or research experience in machine learning, robotics, computer vision, or related ... Exposure to production ML observability, model monitoring, drift detection, or data quality ...
Research Engineer - Machine Learning & Robotics
Lenexa, KS · On-site
$90 - $130/hr
... internship, or research experience in machine learning, robotics, computer vision, or related ... Exposure to production ML observability, model monitoring, drift detection, or data quality ...
New
Research Engineer - Machine Learning & Robotics
Lenexa, KS · On-site
$90 - $130/hr
... internship, or research experience in machine learning, robotics, computer vision, or related ... Exposure to production ML observability, model monitoring, drift detection, or data quality ...
New
Observability Internship information
What are the key skills and qualifications needed to thrive as an observability intern, and why are they important?
To thrive as an Observability Intern, you generally need foundational knowledge in computer science, familiarity with monitoring concepts, and experience with programming or scripting languages. Exposure to observability tools like Prometheus, Grafana, ELK stack, or cloud monitoring platforms, along with coursework or certifications in DevOps or cloud technologies, is often beneficial. Strong analytical thinking, problem-solving abilities, and effective communication help interns collaborate with engineering teams and interpret complex data. These skills enable interns to contribute to system reliability by identifying, diagnosing, and resolving performance issues efficiently.
What is an observability internship?
An Observability Internship is a temporary, often entry-level position where students or recent graduates learn about and assist with monitoring, measuring, and analyzing the performance and reliability of software systems. Interns work with tools that provide visibility into applications, infrastructure, and services to help teams detect issues and improve system health. The role typically involves tasks such as setting up dashboards, analyzing logs and metrics, and helping to implement best practices for observability. This internship is valuable for those interested in DevOps, Site Reliability Engineering, or software development roles.
What is the difference between Observability Internship vs Monitoring Internship?
| Aspect | Observability Internship | Monitoring Internship |
|---|---|---|
| Focus | Broad system insights, including logs, metrics, traces | Real-time system health and alerting |
| Skills | Data analysis, debugging, understanding of distributed systems | Alert configuration, basic system metrics |
| Work Environment | DevOps, SRE teams, cloud environments | Operations, system administration teams |
| Certifications | Knowledge of monitoring tools (Prometheus, Grafana), scripting | Basic monitoring tools, scripting skills |
While both internships involve system health, an Observability Internship covers a broader set of tools and concepts like logs, traces, and metrics for comprehensive system understanding. Monitoring internships focus more on real-time alerts and system uptime. Understanding these differences helps candidates choose the right role aligned with their skills and career goals.
What types of projects and tools can I expect to work with during an observability internship?
As an Observability Intern, you'll often contribute to projects focused on monitoring, logging, and tracing the performance of software systems. You may work with popular tools such as Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or OpenTelemetry to collect and visualize system metrics. Interns typically collaborate closely with site reliability engineers and software developers to identify bottlenecks, improve alerting, and ensure system reliability. This role provides hands-on experience with real-world infrastructure and fosters valuable problem-solving skills in a collaborative, technical environment.
What are popular job titles related to Observability Internship jobs in Kansas? For Observability Internship jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Observability Internship jobs in Kansas look for? The top searched job categories for Observability Internship jobs in Kansas are:
What cities in Kansas are hiring for Observability Internship jobs? Cities in Kansas with the most Observability Internship job openings:
Full-time
Medical
Posted 5 days ago
Job description
Company Description
Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989.
Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.
Job Description
Miratech is looking for an experienced AWS Cloud Engineer - Platform Operations to support and optimize AWS infrastructure powering Amazon Connect and enterprise cloud platforms. This role combines AWS Cloud Operations, Site Reliability Engineering (SRE), Infrastructure Automation, and Observability to deliver highly available, secure, and scalable cloud solutions. The ideal candidate will have strong experience with AWS services, Terraform, Infrastructure as Code, cloud automation, production support, and observability across enterprise environments.
Responsibilities
- Support and enhance AWS infrastructure for Amazon Connect and related platform services.
- Manage Infrastructure as Code (IaC) using Terraform and automate operational tasks using Python and AWS CLI.
- Improve platform reliability by supporting incident response, RCA, disaster recovery, and production readiness activities.
- Build self-healing automation and operational runbooks to reduce manual effort.
- Develop dashboards, alerts, and monitoring solutions using CloudWatch, Dynatrace, Splunk, Grafana, and OpenTelemetry.
- Support CI/CD pipelines, cloud deployments, and release management activities.
- Collaborate with engineering and operations teams to improve cloud scalability, security, and operational excellence.
Qualifications
- 5+ years of experience in AWS Cloud Operations, Platform Engineering, or Site Reliability Engineering (SRE).
- Strong hands-on experience with AWS services including Lambda, CloudWatch, IAM, VPC, Route 53, S3, SNS, SQS, EventBridge, and DynamoDB.
- Strong experience with Terraform and Infrastructure as Code (IaC).
- Experience with Python, AWS CLI, PowerShell, or similar automation tools.
- Experience with GitHub, GitHub Actions, Jenkins, and CI/CD pipelines.
- Hands-on experience with observability tools such as Dynatrace, Splunk, CloudWatch, Grafana, or OpenTelemetry.
- Experience supporting production environments, incident management, change management, and release management.
- Strong communication and stakeholder management skills.
Nice To Have
- AWS Certification (Solutions Architect, DevOps Engineer, or equivalent).
- Experience with Amazon Connect, NICE CXone, Genesys Cloud, or other CCaaS platforms.
- Experience with ServiceNow and automated remediation solutions.
- Understanding of High Availability, Disaster Recovery, and operational resiliency.
We offer:
- Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
- Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program.
- Work From Anywhere Culture: make the most of the flexibility that comes with remote work.
- Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.
- Global Impact: collaborate on impactful projects for top global clients and shape the future of industries.
- Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.
- Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.
Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.
Additional Information
All your information will be kept confidential according to EEO guidelines.