Lead System Engineer

We are seeking a dedicated and proactive engineer to join our team, focusing on the implementation and advancement of DevOps and Site Reliability Engineering (SRE) practices. In this role, you will help drive the technology roadmap for our SRE team, champion operational excellence, and partner closely with application and product teams to ensure high availability, performance, and scalability. You will play a key role in building robust monitoring and observability systems, automating workflows, enforcing security standards, and continuously improving our CI/CD pipelines and incident management processes.

Req# 1124502909

Responsibilities

• Help implement DevOps & SRE practices
• Drive discussions for technology roadmap for SRE team
• Identify, craft, and maintain SLIs and SLOs for teams, as well as metrics such as MTTR, Lead time for change, Deployment Frequency and Change Failure Rate
• Design, develop and manage monitoring, alerting, operability and observability for applications using Dynatrace, Splunk & Grafana
• Assess performance, monitor and recommend performance enhancements
• Enforce application teams to meet performance and availability SLAs
• Partner with product owners to manage error budget, prioritize toil backlog and validate against team, application, and incident metrics
• Be part of an on-call rotation for production events or outages
• Strive for continuous improvement for continuous integration & continuous deployment (CI/CD Pipeline)
• Apply troubleshooting techniques, incident management and root cause analysis
• Encourage and build automated processes wherever possible
• Implement cybersecurity measures by continuously performing vulnerability assessment and risk management
• Manage periodic reporting on the progress to the management and the customer
• Work in partnership with application teams to ease their adoption of the platform
• Coordinate and communicate within the team and with customers
• Analyze the current system in use and develop plans for enhancements and improvements

Requirements

• 5+ years of experience working within DevOps or SRE teams
• Bachelor's degree in Computer Science or related fields and/or equivalent work experience
• Professional experience in supporting Production Infrastructure
• Strong knowledge of CI/CD
• An understanding of observability (monitoring, logging and tracing)
• Experience with Dynatrace & Splunk
• Experience with a leading cloud provider (AWS, Azure, GCP)
• Experience operating high-availability, fault-tolerant, scalable, distributed software in production
• Ability to work independently and as part of a team
• Strong analytical and problem-solving mindset combined with experience troubleshooting under pressure
• Strategic thinking, complex problem solving and analytical capabilities
• Strong organizational and interpersonal skills, with experience developing and instilling a culture of operational maturity
• Ability to adjust quickly to new technologies
• English is B2 or higher

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

The recruiting efforts for this position are intended to fill an existing vacancy for a new position.

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

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$140,000-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.

EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA WFAHRCA@epam.com 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.

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.

Remote in Canada