Position Overview

We are seeking a skilled and reliability-focused Site Reliability Engineer (SRE) to improve the availability, performance, scalability, and operational resilience of software platforms supporting a technology-driven organisation in Estonia. The successful candidate will combine software engineering, infrastructure automation, observability, and operational expertise to ensure that production systems remain dependable as business requirements and user demand evolve.

Working closely with software engineers, platform engineers, DevOps specialists, security professionals, and product teams, the Site Reliability Engineer will design and maintain reliable infrastructure, automate repetitive operational tasks, establish meaningful service-level objectives, and improve the organisation’s ability to detect, investigate, and resolve production incidents.

In a fintech environment, the role may also support payment services, transaction-processing systems, financial APIs, customer-facing applications, and other services where availability, data integrity, and secure operations are essential. The engineer will help balance rapid software delivery with operational stability through measurable reliability practices, proactive risk reduction, and continuous improvement.

The ideal candidate is technically strong, analytical, and comfortable working across application and infrastructure layers. They should understand distributed systems, cloud-native technologies, monitoring, incident management, and automation, with a commitment to building systems that are resilient, observable, and maintainable.

Key Responsibilities

1. Production Reliability and Availability

• Design, implement, and maintain systems that meet agreed availability, performance, scalability, and recovery objectives.
• Monitor production environments to identify service degradation, infrastructure bottlenecks, capacity constraints, and emerging operational risks.
• Investigate recurring reliability issues and implement permanent corrective measures rather than relying solely on short-term fixes.
• Work with development teams to improve application resilience through appropriate timeouts, retries, circuit breakers, graceful degradation, and failure-handling mechanisms.
• Support the design of highly available services and fault-tolerant infrastructure appropriate to business requirements.
• Review system dependencies and identify single points of failure that could affect critical services.

2. Service-Level Objectives and Reliability Engineering

• Define and maintain service-level indicators (SLIs), service-level objectives (SLOs), and service-level agreements (SLAs) where appropriate.
• Establish meaningful reliability measurements for availability, latency, error rates, throughput, and other service-specific indicators.
• Monitor error budgets and use reliability data to inform release decisions and prioritise engineering improvements.
• Work with product and engineering stakeholders to establish realistic reliability targets aligned with customer expectations and business risk.
• Prepare regular service reliability reports and communicate performance trends to relevant teams.
• Recommend improvements based on measurable evidence rather than assumptions about system performance.

3. Monitoring, Logging, and Observability

• Develop and maintain monitoring systems, dashboards, alerts, logs, traces, and other observability tools.
• Establish actionable alerting rules that identify meaningful service degradation while minimising unnecessary notifications.
• Implement distributed tracing and structured logging to improve visibility across interconnected services.
• Analyse telemetry data to identify performance bottlenecks, abnormal system behaviour, and potential infrastructure failures.
• Ensure that operational dashboards provide clear information about service health, dependencies, and resource utilisation.
• Improve diagnostic capabilities so that engineers can investigate incidents quickly and accurately.

4. Cloud Infrastructure and Platform Operations

• Manage and optimise cloud infrastructure across relevant environments, such as AWS, Microsoft Azure, or Google Cloud.
• Maintain infrastructure configurations using infrastructure-as-code tools such as Terraform or comparable technologies.
• Support containerised workloads using Docker and orchestration platforms such as Kubernetes where applicable.
• Improve infrastructure provisioning, configuration management, environment consistency, and operational repeatability.
• Monitor resource utilisation and implement capacity-planning measures to accommodate changing workloads.
• Collaborate with platform teams to improve the reliability and maintainability of shared infrastructure services.

5. Automation and Operational Tooling

• Develop scripts, tools, and automation workflows to reduce repetitive operational work and improve service consistency.
• Automate routine tasks involving deployment verification, infrastructure checks, system maintenance, and incident diagnostics.
• Use programming or scripting languages such as Python, Go, Bash, or similar technologies to build reliable operational tools.
• Identify manual processes that introduce avoidable errors or consume excessive engineering time.
• Maintain clear documentation, testing, and version control for automation code.
• Promote engineering approaches that reduce manual intervention and improve operational efficiency.

6. Incident Response and Problem Management

• Participate in incident response activities, including detection, triage, investigation, mitigation, recovery, and communication.
• Coordinate technical troubleshooting with software engineering, infrastructure, security, and other relevant teams.
• Maintain incident timelines, document root causes, and support blameless post-incident reviews.
• Track corrective and preventive actions to ensure that identified reliability weaknesses are addressed.
• Help establish incident severity classifications, escalation procedures, on-call arrangements, and operational runbooks.
• Contribute to continuous improvements in incident response readiness and service recovery procedures.

7. CI/CD and Release Reliability

• Collaborate with development teams to strengthen continuous integration and continuous delivery pipelines.
• Improve deployment safety through automated validation, staged rollouts, health checks, canary releases, and rollback procedures where appropriate.
• Monitor application behaviour following releases and help identify regressions or environment-related failures.
• Support release readiness assessments for services with demanding availability or recovery requirements.
• Improve the consistency of deployment processes across development, testing, staging, and production environments.
• Help reduce deployment-related incidents while enabling engineering teams to deliver changes efficiently.

8. Performance and Capacity Engineering

• Analyse application and infrastructure performance to identify bottlenecks affecting latency, throughput, and resource consumption.
• Conduct load testing, stress testing, or capacity assessments in collaboration with development teams where appropriate.
• Establish capacity forecasts based on historical usage, projected growth, and service requirements.
• Optimise infrastructure resource allocation and support cost-efficient cloud operations without compromising reliability.
• Investigate database performance, network latency, queue backlogs, and other factors affecting end-to-end service performance.
• Recommend architectural or configuration changes to improve responsiveness and resilience under load.

9. Security and Operational Resilience

• Work with security and infrastructure teams to implement secure configuration practices, access controls, and secrets management.
• Support vulnerability remediation, patch management, and monitoring of infrastructure-related security events.
• Contribute to disaster recovery planning, backup validation, failover testing, and business continuity exercises.
• Ensure that operational procedures support appropriate data protection, system access, and auditability requirements.
• Help strengthen the resilience of critical services against infrastructure failures, dependency outages, and other operational disruptions.
• Support relevant security and regulatory controls applicable to the organisation’s technology environment.

10. Documentation and Engineering Collaboration

• Maintain operational runbooks, architecture diagrams, service dependency maps, and incident response documentation.
• Participate in design reviews and provide reliability guidance during the development of new services and major system changes.
• Share operational knowledge with software engineers and other technical colleagues.
• Contribute to engineering standards, reliability reviews, and continuous improvement initiatives.
• Communicate technical risks, service limitations, and reliability trade-offs clearly to technical and non-technical stakeholders.
• Promote a culture of shared responsibility for production reliability across development and operations teams.

Qualifications and Experience

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline, or equivalent professional experience.
• Professional experience in site reliability engineering, DevOps, platform engineering, cloud infrastructure, systems engineering, or production operations.
• Strong understanding of Linux or other relevant server operating systems, networking fundamentals, DNS, HTTP, TLS, and troubleshooting techniques.
• Practical experience with at least one major cloud platform, such as AWS, Microsoft Azure, or Google Cloud.
• Experience with containerisation and orchestration technologies, particularly Docker and Kubernetes, where relevant.
• Familiarity with infrastructure-as-code tools such as Terraform, Pulumi, or equivalent technologies.
• Experience with monitoring and observability platforms such as Prometheus, Grafana, OpenTelemetry, or comparable solutions.
• Proficiency in at least one scripting or programming language, such as Python, Go, Bash, or another suitable language.
• Understanding of CI/CD pipelines, automated testing, version control, deployment strategies, and configuration management.
• Knowledge of distributed systems, fault tolerance, service dependencies, incident management, and performance optimisation.
• Strong analytical, problem-solving, documentation, and cross-functional communication skills.
• Professional working proficiency in English. Estonian language skills are an advantage but are not essential for every international engineering team.

Technical Environment

The exact technology stack will depend on the organisation’s architecture. Relevant technologies may include:

• Cloud platforms: AWS, Microsoft Azure, or Google Cloud.
• Operating systems: Linux, container-optimised operating systems, and related server environments.
• Containers and orchestration: Docker and Kubernetes.
• Infrastructure as code: Terraform, Pulumi, Ansible, or comparable tools.
• Monitoring and observability: Prometheus, Grafana, OpenTelemetry, ELK or OpenSearch-based logging platforms, and distributed tracing tools.
• Programming and scripting: Python, Go, Bash, or similar languages.
• CI/CD and version control: Git, GitHub Actions, GitLab CI/CD, Jenkins, or comparable platforms.
• Networking and service infrastructure: DNS, HTTP/TLS, load balancers, reverse proxies, service discovery, and API gateways.
• Incident and work management: Jira, PagerDuty, Opsgenie, or equivalent incident-management tools.

Experience with every listed technology is not required. Candidates should demonstrate strong fundamentals and practical expertise relevant to the organisation’s principal infrastructure and operational needs.

Core Competencies

• Production reliability and distributed systems
• Cloud infrastructure management
• Infrastructure automation and configuration management
• Observability, monitoring, and alerting
• Incident response and root-cause analysis
• Service-level indicators and reliability objectives
• CI/CD and deployment automation
• Performance analysis and capacity planning
• Disaster recovery and operational resilience
• Secure infrastructure and access management
• Technical documentation and cross-team collaboration
• Continuous improvement and systems thinking

Performance Expectations

The Site Reliability Engineer will be expected to improve the reliability of production services, reduce avoidable operational incidents, and strengthen the organisation’s ability to detect and resolve service problems.

Performance will be evaluated using agreed indicators such as service availability, latency and error-rate targets, mean time to detect and recover from incidents, recurring incident frequency, deployment-related failure rates, automation coverage, capacity efficiency, and completion of post-incident corrective actions. Targets will reflect the criticality and architecture of the systems under the engineer’s responsibility.

First-Year Objectives

During the first 12 months, the successful candidate will be expected to understand the existing infrastructure and service architecture, assess major reliability risks, and establish or improve monitoring and alerting coverage.

Further objectives will include defining appropriate service-level indicators and objectives, improving incident response procedures, automating high-value operational tasks, strengthening deployment safety, and contributing to disaster recovery and capacity-planning activities.

For financial technology services, priorities may also include improving the resilience of payment-related APIs, strengthening monitoring of transaction-processing dependencies, and ensuring that operational recovery procedures support data integrity and customer service continuity.

Why This Opportunity

This position offers the opportunity to influence the reliability and operational maturity of technology platforms within Estonia’s digital business environment. The Site Reliability Engineer will work across software, infrastructure, and security disciplines to solve complex engineering problems and improve the systems that support business-critical services.

The role provides scope to apply modern cloud technologies, automation, observability, and reliability engineering practices while contributing to platforms designed for sustained performance and growth.

Ideal Candidate

The ideal candidate is an engineering professional who approaches reliability as a measurable engineering discipline rather than a collection of reactive support tasks. They can investigate complex failures, automate recurring work, evaluate operational risks, and communicate technical findings clearly.

They value blameless incident reviews, sound engineering practices, secure system design, and continuous improvement. They are comfortable collaborating with developers and infrastructure specialists, taking responsibility for operational outcomes, and balancing system stability with the need for frequent, dependable software delivery.

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