Senior Software Engineer (Platform) Remote within the United States

GreyNoise Intelligence, Inc.; Mississippi; Remote; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a talented technical leader to drive innovative platform engineering projects. In this dynamic role, you will lead initiatives involving API development, infrastructure, and integration, while ensuring alignment with organizational goals. Your expertise in debugging and cloud management will be vital as you mentor fellow engineers and enhance the team's practices. Join a collaborative environment that values technical excellence and fosters continuous improvement, where your contributions will directly impact customer success and the future of the platform. If you thrive in fast-paced settings and are passionate about technology, this opportunity is for you.

Qualifications

• 5+ years in software engineering with a focus on APIs and integrations.
• Experience with cloud infrastructure and CI/CD pipelines.

Responsibilities

• Lead platform engineering projects and guide sprint planning.
• Collaborate with teams to enhance platform capabilities and reliability.

Skills

Technical Project Leadership

Debugging Skills

Analytical Skills

Collaboration

Cloud Infrastructure Management

API Development

Go (Golang)

CI/CD Pipelines

Kubernetes

Elasticsearch

Tools

Terraform

AWS CloudFormation

Github Actions

Grafana

CloudWatch

Kafka

Job description

What You Will Do

• Lead projects involving platform engineering, infrastructure, integration, and API development, ensuring alignment with customer and organizational needs.
• Act as a technical leader, helping triage on-call tickets, prioritize and unblock team members, and guide sprint planning to drive effective execution.
• Identify and implement incremental improvements to our practices for logging, monitoring, and telemetry to ensure quick identification and resolution of issues.
• Collaborate across the engineering organization to steer the future of how the GreyNoise platform and the services running on it are delivered.
• Collaborate with engineering and product teams to design and deliver customer-facing platform-level capabilities with a focus on reliability, scalability, and performance.
• Debug and troubleshoot complex production issues across multiple systems, leveraging strong analytical skills and attention to detail.
• Serve as a mentor for other engineers, fostering a culture of knowledge sharing and technical excellence.

What You Will Bring

• Proven experience leading technical projects and helping teams navigate competing priorities in a fast-paced environment.
• A structured approach to triaging issues: the ability to quickly assess, prioritize, and delegate or resolve problems during on-call rotations.
• Strong debugging skills, including the ability to diagnose and resolve complex issues across APIs, integrations, and distributed systems.
• 5+ years of production software engineering experience, including:
  • Developing and maintaining RESTful APIs and integrations.
  • Working with Go (Golang) for backend development.
  • Managing cloud-based infrastructure using Terraform or AWS CloudFormation, including ECS, EKS, RDS, and AWS.
  • Migration of existing applications to new platform technologies.
  • Designing and implementing CI/CD pipelines using Github Actions.
• Knowledge of Kubernetes and supporting applications running on it.
• Experience managing or building applications that utilize Elasticsearch for search and analytics pipelines.
• A firm understanding of computer networking.
• A collaborative and communicative mindset, with a willingness to engage across teams and disciplines to deliver customer value.
• Experience leveraging AI-assisted tooling for infrastructure management and as part of your day-to-day workflow.

Nice to Haves

• Experience implementing/integrating with service mesh technologies like AWS Service Connect and Istio.
• Familiarity with authentication and security standards like OAuth, SAML, and TLS.
• Experience with delivering data to customers through APIs, SDKs, or other data integration methods.
• Strong interest in customer success and the ability to translate technical requirements into impactful solutions.
• Knowledge of monitoring and logging tools to improve observability (e.g. Grafana, Honeycomb, CloudWatch).
• Experience managing event-driven application architectures using technologies like Kafka.
• Familiarity with business intelligence systems and integration.

A Few of Our Engineering Principles

• Readability of code is judged by the reviewer, not the author
• Deliver fast, deliver often
• Tech is cheap, don't be afraid to throw it away
• Write tests to ensure stability and trust in the system
• Don’t be afraid to change anything that already exists
• Slow is smooth and smooth is fast
• Distinguish internal customers from external customers
• Technical compromises are good
• Utility and adoption are factored into the success criteria of all prototypes