Senior Software Engineer, SRE / Observability Tooling
- Role
- SRE
- Experience
- Senior
- Employment
- Full-time
Open to EE only. Set where you work from to check your eligibility.
No BS summary
Senior SRE/tooling engineer for observability platform work, remote in Estonia. Needs expert AWS and Kubernetes/EKS, observability tools like DataDog or Prometheus, SRE principles, CI/CD, and strong Python or Go development for automation.
Core skills
Required skills
About Glia
Glia is the #1 Banking AI platform, empowering community and regional financial institutions to create efficiencies, accelerate loan growth, drive deposits, and deliver experiences that win against megabanks and fintechs.
Glia's Banking AI Operating System is a central intelligence layer on top of existing tech stacks, activating an AI workforce of specialized agents that draw from banking data, interaction history, and integrated systems of record. These banking-trained agents automate workflows across voice and digital–from front office to back office–resulting in decreased operational costs and the Universal Banker model.
Trusted by 700+ banks and credit unions for its ironclad security and reliability, Glia delivers the industry’s first contractual no-hallucination guarantee. It’s why Glia customers quickly and confidently put Banking AI to work with measurable results from day one. More information about Glia can be found at glia.com.
The Team
You'll be joining our dedicated Observability Team, which builds the observability platform and SRE tooling used to monitor Glia’s cloud-native core infrastructure serving the conversational AI. Our team focuses on enablement and automation: we provide the standards, tooling, and platform that engineering teams use to keep their own systems available and performing optimally.
The Mission & The Work
As a Site Reliability Engineer on this team, your focus will be on building SRE and observability tooling — the platform, automation, and standards other teams use to keep their services healthy. This is a tooling and enablement role, not a production operations role: you will not be directly operating Glia’s production services. Responsibilities will include:
- Developing standards, infrastructure and automation for dashboards, alerts, and monitors as code.
- Partnering with development teams to establish production readiness and operational readiness.
- Building the tooling and templates teams use to define, measure, and report on Service Level Objectives (SLOs) and Service Level Indicators (SLIs) for their services.
- Developing tooling to automate observability and operational workflows, eliminating manual toil for engineering teams.
- Building and improving the incident response tooling and workflows that help teams resolve outages faster and learn from them.
Our Collaboration Model
Glia Engineering is remote-first, spanning Canada, Portugal, Poland, and Estonia. The Observability team is based in Estonia, with optional offices in Tallinn and Tartu. We thrive on flexible remote collaboration, but we still bring the whole team together in Estonia twice a year for in-person innovation and connection.
Our tech stack
- Infrastructure: AWS, Kubernetes (AWS EKS), Istio, EFK
- Persistence: Amazon Aurora Serverless for Postgres, RabbitMQ, Amazon RDS
- Cache: Amazon ElastiCache
- Monitoring & Observability: DataDog with a focus on dashboards and alerts for system health
- CI/CD: Github Actions, ArgoCD, Jenkins, Helm, with a focus on automation and pipeline optimization.
- Infrastructure as Code: Terraform
- Additionally, our Engineering teams use:
- Backend: Python, Elixir, Node.js, Ruby, Go
- Frontend: Javascript and React.js
- Native mobile SDKs: Java and Swift
What We’re Looking for
- Expert-level proficiency with AWS and Kubernetes (EKS), particularly in areas of observability, networking, and auto-scaling.
- Experience with modern observability platforms (e.g., DataDog, Prometheus) and a deep understanding of metrics, logging, and tracing.
- Deep, practical understanding of Site Reliability Engineering (SRE) principles (SLOs, error budgets, toil reduction).
- Demonstrable experience analyzing and troubleshooting large-scale distributed systems.
- Strong software development skills in a language like Python or Go, used to build operational tools, services, or automation.
- Expertise in designing and operating robust CI/CD pipelines for a microservices architecture (e.g., using ArgoCD, Github Actions, Helm).
- A systematic, data-driven approach to problem-solving and root cause analysis.
- Proficiency in using AI tools thoughtfully, maintaining ownership of the final output while recognizing the tools' limitations.
Glia is an equal-opportunity employer. Glia does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.
The Glia Talent Acquisition team uses @__glia.com and @__gliatalent.com email addresses for coordinating interviews, providing updates, and sending documents.
Our hiring process involves an introduction, practical and team interviews, and a decision and offer. For more information, visit our Recruitment Privacy Notice page or contact our talent team via talent@glia.com
What you'll do
- Develop standards, infrastructure, and automation for dashboards, alerts, and monitors as code.
- Partner with development teams to establish production readiness and operational readiness.
- Build tooling and templates teams use to define, measure, and report on Service Level Objectives and Service Level Indicators for their services.
- Develop tooling to automate observability and operational workflows, eliminating manual toil for engineering teams.
- Build and improve incident response tooling and workflows that help teams resolve outages faster and learn from them.
What they require
- Expert-level proficiency with AWS and Kubernetes (EKS), particularly in observability, networking, and auto-scaling.
- Experience with modern observability platforms such as DataDog or Prometheus and a deep understanding of metrics, logging, and tracing.
- Deep, practical understanding of Site Reliability Engineering principles, including SLOs, error budgets, and toil reduction.
- Demonstrable experience analyzing and troubleshooting large-scale distributed systems.
- Strong software development skills in a language like Python or Go, used to build operational tools, services, or automation.
- Expertise in designing and operating robust CI/CD pipelines for a microservices architecture, such as using ArgoCD, GitHub Actions, or Helm.
- A systematic, data-driven approach to problem-solving and root cause analysis.
- Proficiency in using AI tools thoughtfully, maintaining ownership of the final output while recognizing the tools' limitations.
Benefits
- Remote-first engineering organization.
- Optional offices in Tallinn and Tartu.
- Flexible remote collaboration.
- Whole team brought together in Estonia twice a year for in-person innovation and connection.
Glia is the #1 Banking AI platform, empowering community and regional financial institutions to create efficiencies, accelerate loan growth, drive deposits, and deliver experiences that win against megabanks and fintechs. Glia's Banking AI Operating System is a central intelligence layer on top of existing tech stacks, activating an AI workforce of specialized agents that draw from banking data, interaction history, and integrated systems of record.