Senior DevOps/SRE Engineer

Luxoft — Poland · Posted ~4 hours ago

Senior Visa History ✓

Skills

DevOps Site Reliability Engineering Observability SLO monitoring Alerting Telemetry Distributed systems Application instrumentation SRE SLO Distributed Systems AI

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Summary ✨ AI‑Generated

Join a global engineering environment as a Senior DevOps/SRE Engineer focused on reliability and observability for distributed systems. You will develop application instrumentation, improve telemetry quality, automate SLO monitoring and alerting, and support dashboards that provide service-level visibility across a large service estate. The role offers exposure to AI-assisted engineering and modern reliability practices.

Highlights

Work on large-scale observability and reliability initiatives, improving telemetry quality and SLO monitoring across distributed services while contributing to modern AI-enabled technology solutions.

Description

Who are we DXC Luxoft is a global IT services and consulting company, part of DXC Technology, delivering cutting-edge digital and software solutions worldwide. We partner with leading financial institutions and global enterprises, helping them transform and scale through modern technology. Join a global community of engineers and be part of building impactful, modern technology solutions! Development of AI-enabled solutions that support a signal-driven commercial intelligence platform connecting market insights, content creation, sales engagement, and client feedback. Project Description: Join a healthcare data platform team building client-scoped SLO monitoring and alerting solutions. The project includes automated dashboard and alert generation across 110-140 services, as well as an internal application providing customer-specific SLA visibility. This role focuses on application instrumentation, telemetry quality, and observability adoption across distributed systems. AI-assisted development is expected and encouraged. In Luxoft, our culture is one that strives on solving difficult problems focusing on product engineering based on hypothesis testing to empower people to come up with ideas. Great Place to Work Institute certifies us as one of the Top 10 companies to work for in Mexico, and we do it with a truly flexible environment, high impact projects in Agile environments, a culture focused on results, training and strong support to grow your career. Responsibilities: - Design and maintain SLO-based monitoring and alerting solutions. - Create and optimize PromQL queries and multi-window burn-rate alerts. - Build and manage Grafana dashboards using configuration-as-code practices. - Develop automation and monitoring configuration generators in Python or TypeScript. - Contribute to Terraform-based observability infrastructure. - Validate monitoring signals and improve alert quality. Collaborate with engineering and platform teams to enhance reliability and operational visibility. Mandatory Skills Description: - Strong experience in Observability, SRE, or Platform Engineering. - Advanced PromQL (or equivalent) expertise, including the ability to identify misleading or incorrect query results. - Hands-on experience designing and implementing SLOs and multi-window burn-rate alerting. - Experience with Grafana provisioning and configuration as code. - Ability to build automation tools and code generators using Python or TypeScript. - Hands-on experience using AI-assisted development tools such as Claude Code, GitHub Copilot, or equivalent. AI-assisted engineering is an expected part of the development workflow. - Strong analytical mindset with a healthy skepticism toward telemetry data. - Experience validating signals through multiple independent sources before operationalizing alerts. Experience with cloud-native or distributed systems environments. Nice-to-Have Skills Description: - Groundcover - VictoriaMetrics - OpenTelemetry Collector - AWS EKS - Healthcare or regulated-industry experience - Experience building observability tooling and service health reporting solutions Domain: US Healthcare (PHI-adjacent) Okta and observability platform access AI-assisted engineering is a standard part of the development workflow. Languages: English: B2 Upper Intermediate