Lead DevOps Engineer - Observability & Monitoring

Join EPAM as a Lead DevOps Engineer, where you will drive observability excellence, strengthen monitoring practices, and ensure system reliability across a complex production environment. Your expertise will directly improve operational maturity and support delivery at scale. At EPAM, you'll work on cutting-edge technologies, solve complex challenges, and shape the future of digital innovation. With access to continuous learning, mentorship, and global projects, your expertise will drive meaningful change. Req.#1034285690 The recruiting efforts for this position are intended to fill an existing vacancy to backfill a role. Responsibilities Manage end-to-end monitoring, alerting, and observability for production applications using Dynatrace, Splunk, and Grafana, ensuring system reliability and performance Develop and maintain documentation outlining best practices for logging and monitoring, while conducting regular audits to ensure compliance with company policies and industry standards Triage, prioritize, and resolve medium-complexity incidents and service requests using JIRA, providing warm handoff notes and escalation support for tickets beyond Level 2 Define service level objectives for each product request type and establish average completion time benchmarks to drive continuous improvement Present metrics and escalated ticket trends regularly to leadership, identifying opportunities to shift support processes left and reduce incident recurrence Participate in cross-functional initiatives related to observability standards and be available for off-hours monitoring, on-call escalations, and pager duty coverage Requirements 7 or more years of experience working within DevOps or SRE teams, with a strong focus on incident and request management in high-availability production environments Hands-on advanced expertise in Dynatrace, Splunk, and Grafana, with the ability to configure monitoring setups and administer tooling Proven experience with Azure logging and monitoring solutions including Log Analytics, Azure Monitor, and Application Insights Solid understanding of observability principles covering monitoring, logging, and distributed tracing across scalable, fault-tolerant systems Strong analytical and problem-solving skills with the ability to troubleshoot complex issues under pressure and communicate findings clearly to technical and non-technical stakeholders Bachelor's degree in Computer Science or a related field and/or equivalent work experience, with excellent English communication skills and the ability to work both independently and collaboratively We offer Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid) Life and AD&D Insurance (Company Paid) Employee Assistance Program (Company Paid) Telehealth (Company Paid) Short-term Disability (Company Paid) Long-Term Disability Paid Time Off (including vacation and sick days) Registered Retirement Savings Plan (RRSP) with Company match Maternity/Parental/Adoption Leave Top-up Employee Stock Purchase Program Critical Illness Insurance Employee Discounts Unlimited access to LinkedIn learning solutions This posting includes a salary range EPAM Canada would reasonably expect to pay the selected candidate. Individual compensation offers within the range are based on a variety of factors, including, but not limited to, experience, credentials, education, training, the demand for the role, skillset, and overall business and local labour market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: CA$130,000-CA$160,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position. An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management. EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA [email protected] if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. Engineer the Future with a Career at EPAM

Manage end-to-end monitoring, alerting, and observability for production applications using tools like Dynatrace, Splunk, and Grafana. Triage and resolve incidents while defining service level objectives and presenting performance metrics to leadership.

Requires 7 or more years of experience in DevOps or SRE roles with advanced expertise in observability tools and Azure monitoring solutions. A Bachelor's degree in Computer Science or equivalent experience is required along with strong English communication skills.

• Extended Healthcare with Prescription Drugs • Dental and Vision • Healthcare Spending Account • Life and AD&D Insurance • Employee Assistance Program • Telehealth • Short-term Disability • Long-Term Disability • Paid Time Off • Registered Retirement Savings Plan (RRSP) with Company match • Maternity/Parental/Adoption Leave Top-up • Employee Stock Purchase Program • Critical Illness Insurance • Employee Discounts • Unlimited access to LinkedIn learning solutions

• JiraSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Dynatrace
• Splunk
• Grafana
• Azure Log Analytics
• Azure Monitor
• Application Insights
• Observability
• Incident Management
• SRE
• Distributed Tracing
• Jira
• Service Level Objectives
• Monitoring
• Logging
• Troubleshooting
• DevOps

• Technology
• Software
• Engineering
• Consulting
• Data & Analytics

Formation minimale

Baccalauréat

Expérience minimale

5+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level