Senior Service Engineer

Description

The company is a global financial markets infrastructure and data business, headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific.

It has 25,000 people worldwide, more than half of them in Asia Pacific, and has supported financial stability and growth for more than 300 years.

The Service Management team is moving beyond support and operations, and this role gives you full ownership of the availability, performance and scalability of one of the company's most critical services.

The team wants people who enjoy learning and bring a continuous improvement mindset.

The team uses Datadog and BigPanda for observability, Terraform for cloud infrastructure and EntraID for identity and access management, but it is open to experience with other tools.

Responsibilities

• Maintain Service Level Objectives for the systems you own, and keep measuring and improving availability, latency and overall system health.
• Write automation that scales systems safely, prevents service issues, or restores service quickly when issues occur.
• Work with development teams to improve reliability, observability and release speed.
• Join on-call rotations, incident response, postmortems, and root cause analysis and resolution.
• Advocate for sound engineering practices that help teams build, deploy and run scalable, reliable and high-performance services.
• Support cloud migration projects from the start, including architecture reviews, operational acceptance testing, and configuring Datadog dashboards and metrics.
• Keep learning and developing skills in a continuous learning culture.

Requirements

• A bachelor's degree in computer science or a related software or systems engineering field, or equivalent practical experience.
• Experience with scripting languages such as Shell, Python or similar.
• Experience maintaining infrastructure as code with Terraform.
• Hands-on experience with at least one cloud platform: Azure, AWS or GCP.
• Knowledge of Docker and Kubernetes.
• Experience with observability tools such as Datadog, Dynatrace or similar.
• Experience building and maintaining CI/CD pipelines.
• Experience with incident response and running blameless postmortems.
• Proficiency with Git workflows.
• Preferred: 8 to 10 years of industry experience.
• Preferred: experience with DevOps concepts and ways of working.
• Preferred: experience with algorithms and data structures.
• Preferred: understanding of identity and access management and application security.
• Preferred: experience with native Azure relational databases.

Conditions

The anticipated base salary for this role is $114,200 to $190,400.

Base salary ranges may vary by geographic location, city and state, and individual pay reflects job-related knowledge, skills and equivalent experience.

The role is eligible for the Annual Incentive Plan (AIP, the bonus plan), with target rates set by role level and the posted career stage.

Career stage: Manager.

Most roles, excluding internships and part-time roles under 20 hours per week, are eligible for the benefits program.

The company is an equal opportunities employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy, disability or any other protected basis under applicable law.

Benefits

• Annual wellness allowance.
• Paid time off.
• Medical, dental and vision cover.
• Flexible spending and health savings options.
• Prescription drug plan.
• 401(k) savings plan with company match.
• Basic life insurance and disability benefits.
• Emergency backup dependent care and adoption assistance.
• Commuter assistance.
• Healthcare, retirement planning, paid volunteering days and wellbeing initiatives.