Site Reliability Engineer

Mphasis; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Mphasis is seeking an experienced Site Reliability Engineer to join the team in London. You will partner with Application Development and Operations to build scalable systems, automate toil, and improve reliability, availability and performance across services.

You will leverage AWS and Kubernetes with monitoring stacks (Datadog, Prometheus, Grafana, ELK) and IaC tooling (Terraform). Strong scripting, networking and incident management skills are essential for proactive issue resolution and

Qualifications

• 6+ years of experience with SRE principles and tools including AWS, monitoring, DevOps and CI/CD, with toil identification.
• Proven experience as a Site Reliability Engineer, DevOps Engineer or similar role.
• Define and maintain SLI, SLO and SLA with business and engineering teams.
• Strong programming skills in Python, Go, Java or Ruby.
• Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker).
• Proficient in incident handling, root cause analysis and runbooks.
• Good knowledge of networking and security concepts; familiar with Terraform and IaC.
• Experience with CI/CD pipelines and DevOps tools; strong collaboration with development and operations teams.
• Blameless postmortems and RCA practices; effective communication.

Responsibilities

• Provide end-to-end SRE support and monitoring for scalable services.
• Design and implement reliable, scalable architectures with telemetry and automation.
• Set up monitoring and alerting; proactively identify performance issues and toil.
• Collaborate with development teams to improve system reliability and architecture.
• Lead incident response, root cause analysis and permanent fixes with Runbooks.
• Maintain documentation for systems, processes, and procedures.
• Advocate for best practices in software development and operations.
• Create dashboards for infra/APM and end-to-end workflows.
• Ensure repeatability, traceability and transparency of components.

Skills

SRE principles

AWS

Kubernetes

CI/CD

Monitoring

Incident management

Programming: Python/Go/Java/Ruby

DevOps tools

Blameless postmortems

Networking & Security

Tools

Datadog

Splunk

Dynatrace

AppDynamics

Prometheus

Grafana

ELK Stack

CloudWatch

Gremlin

ThousandEyes

Lucidchart

PlantUML

Terraform

Jira

Shell Script

Linux

Bitbucket

Akamai

Job description

As an SRE, you'll collaborate closely with Application Development and Operations teams to build and maintain scalable systems. Your core focus will be to automate processes and ensure the highest levels of service reliability, specifically by reducing manual effort (TOIL). You'll bring a strong passion for continually improving the reliability, availability, and performance of our services.

Primary Skill – Experience with cloud platforms Primarily in AWS Cloud (e.g., AWS, GCP, Azure) and Container Orchestration (e.g., Kubernetes, Docker).

Proficiency in Monitoring and Logging Tools : Datadog, Splunk, Dynatrace, AppDynamics, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Cloude Watch, Gremlin, Thousand Eyes.

Infrastructure skills, Networking and Security Skills, AWS (Atlas), ECS Based internal tooling

Lucidchart, PlantUML

Secondary Skill –SNOW, Jira, Shell Script, Linux, bitbucket, Akamai, DevOps

Terraform experience is a mandatory

• 6+ years of experience with SRE principals and tools (AWS, Monitoring tool, DevOps, CI/CD etc.) should have worked with Toil identification
• Proven experience as a Site Reliability Engineer, DevOps Engineer, or similar role.
• Achieve and Maintain the Define SLI, SLO, SLA with business/operations/Engineering team.
• Monitoring, logging, event detection, Alerting and Error budget (99.9 , 99.99, 99.999 % ) for Cloud or Distributed platforms software, Operations & Business.
• Good understanding of programming skills in languages such as Python, Go, Java, or Ruby.
• Experience with cloud platforms Primarily in AWS Cloud (e.g., AWS, GCP, Azure) and container orchestration (e.g., Kubernetes, Docker).
• Skilled in managing configuration, deployments, observability, handling and resolving incidents, including root cause analysis, managing and operating complex systems for scalability, availability and performance.
• Experience with CI/CD pipelines and DevOps tools.
• Good Knowledge of Source Code Repository Tools
• Good Knowledge of networking and Security concepts.
• Proficiency in Monitoring, Logging & Traceability Tools
• Good Understanding of Database Systems – Aurora PostgreSQL, REDIS
• Infrastructure skills: Terraform for infrastructure as code, Skilled in the understanding of use, core cloud application infrastructure services including identity platforms, networking, storage, databases, containers, and serverless
• Efficiency in creating Dashboard for Infra / APM / E2E workflows.
• ITIL – Incident/ Change, Proficient in Problem management and Jira – Blameless postmortem, Root Cause Analysis findings, applying permanent fixes, Documentation as Runbooks for lesson learn
• Hands on experience on technical operations application support and stability, reliability and resiliency
• Proficient in communication and collaboration skills to work effectively with development and operations teams.
• Willingness to learn new tools, technologies and adapt to changing environments.

Nature of the Job:

• SRE end-to-end Support & Monitoring as an Engineer and Architecture.
• Design, implement to maintain scalable and reliable systems for services.
• Setup and Monitor system performance and reliability, identifying and resolving issues proactively.
• Assess current state and mature the SRE function.
• Collaborate with development teams to improve system architecture and design for reliability.
• Participate and own the issues and incident response efforts to resolve production issues. Resolve incidents and provide Incident Resolution with root cause analysis (RCA).
• Conduct post-mortem analyses of incidents to identify root causes and implement preventive measures.
• Create and maintain documentation as a Runbook for systems, processes, and procedures.
• Advocate for best practices in software development, system design, and operational excellence with Tool Implementation.
• Create and maintain monitoring technologies and processes that improve the visibility of our applications' performance and business metrics and keep operational workload in-check.
• Establish and ensure the repeatability, traceability, and transparency of application components.
• Monitoring and optimization of system performance and resource usage, identify and address bottlenecks, and implement best practices for performance tuning.
• Troubleshoot and resolve critical issues across multiple layers, including CDN, Load balancers, storage, OS, network, K8S, virtualization, and application/DB stack.