Software Engineer - Infrastructure Observability Monitoring (Remote USA)

Cisco; Washington (District of Columbia); Remote; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company as a Software Engineer focused on observability infrastructure monitoring. In this role, you will contribute to a leading platform that empowers organizations to detect and resolve infrastructure issues swiftly. Collaborate with product owners and designers to innovate and enhance user-facing applications. Your expertise in Golang, along with your understanding of cloud technologies like AWS and Kubernetes, will help shape the future of observability solutions. This is an exciting opportunity to be part of a team that values kindness, creativity, and a passion for technology, while making a significant impact in the digital world.

Qualifications

• 5+ years of software development experience with a focus on Golang.
• Hands-on experience with OpenTelemetry for observability in distributed systems.
• Strong understanding of CI/CD and DevOps best practices.

Responsibilities

• Collaborate with product teams to design and implement product features.
• Participate in architecture reviews and influence product design.
• Ensure stable service delivery through on-call rotations and incident reviews.

Skills

Golang

Python

Java

OpenTelemetry

AI frameworks

Docker

Kubernetes

AWS

GCP

Azure

CI/CD pipelines

Git

NoSQL databases

problem-solving

Education

BS in Computer Science

Masters in Computer Science

PhD in Computer Science

Tools

Docker

Kubernetes

OpenTelemetry

AWS

GCP

Azure

Git

Job description

Software Engineer - Observability Infrastructure Monitoring

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Our customers love our technology, but it's our caring employees that make Splunk stand out as an amazing career destination. No matter where in the world or what level of the organization, we approach our work with kindness. So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you. Come help organizations be their best, while you reach new heights with a team that has your back.

About the role

Splunk is looking for an enthusiastic and innovative Software Engineer to join our Splunk Observability team who will work on systems that empower our customers to quickly detect and resolve their infrastructure and application issues.

You will be a key contributor for the user-facing web application for Splunk Observability Infrastructure Monitoring. Splunk’s Observability Suite is a leader in the Gartner Magic Quadrant and Infrastructure Monitoring is one of the most used and popular products in this suite.

What you’ll get to do

1. Collaborate with product owners and designers to iterate on the design and implementation of our products.
2. Break down product requirements and/or complex technical tasks into sprint size units and estimate the work.
3. Participate in end-to-end architecture reviews and discussions with the broader team, playing an influential role in overall product design.
4. Design testable software, compose test plans and automate test cases while making necessary improvements to test frameworks.
5. Hands-on development of product features keeping subsystem reusability, modularity, and high scale as part of design.
6. Participate in on-call rotations, post-incident reviews, and other operational duties as needed to ensure stable service delivery.

Must-have Qualifications

1. Professional experience in software development, with a strong focus on Golang. Experience with Python or Java is a plus.
2. Hands-on experience with OpenTelemetry (Otel) for observability, tracing, and monitoring in distributed systems.
3. Familiarity of AI frameworks, including LangChain, OpenAI APIs and Vector Databases.
4. Experience with containerization (Docker) and orchestration (Kubernetes) in cloud-based environments.
5. Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML infrastructure.
6. Solid understanding of CI/CD pipelines, version control (Git), and DevOps best practices.
7. Knowledge of NoSQL and vector databases for efficient AI data retrieval is a plus.
8. Excellent problem-solving skills and ability to write clean, maintainable, and efficient code.
9. BS CS or EE degree, or equivalent training or work experience.
10. 5+ years related experience (or Masters and 4+ years related experience, or PhD without experience).

Splunk is an Equal Opportunity Employer

Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.