Back End Developer
TESTQ Technologies
Sheffield, UK
9 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Agile Methodology
Amazon Web Services
Microsoft Azure
Cloud Computing
Data Visualization
DevOps
Domain Name System (DNS)
Monitoring of Systems
Software Engineering
Virtualization Technology
Computer Networking Systems
+10 more
Load Balancing
Time Series Databases
Grafana
Technical Debt
Build Management
Containerization
Information Technology
Influxdb
Api Gateway
Docker
Job description
Responsibilities
- Partner with Product Owners to deeply understand requirements and break them down into focused deliverable items
- Design and build robust scalable microservices with high observability and supportability following DevOps and Agile principles
- Own your deliverables endtoend from design through deployment and hit agreed timelines
- Provide rapid effective production support perform root cause analysis on incidents and drive longterm fixes that stick
- Act as a trusted technical consultant for platform users resolving queries and unblocking teams with speed and clarity
- Collaborate closely with crossfunctional IT teams and coordinate stakeholder activities to keep the platform evolving
- Proactively manage technical debt and keep security and vulnerability posture sharp
- Mentor junior developers share knowledge generously and champion a highperforming team culture
Qualifications
- Bachelors degree or equivalent in Computer Science or a related discipline
- 8 years of software engineering experience with at least 3 years in a leadership or technical lead role focused on DevOps Platform Engineering or SRE
- Solid understanding of how the internet and HTTP work under the hood DNS TLS load balancing reverse proxies service meshes and API gateways and how these come together in modern microservice architectures
- Handson experience with monitoring and observability tools such as Grafana and InfluxDB familiarity with time series databases and data visualization concepts
- A proactive mindset you spot problems performance bottlenecks and improvement opportunities before they become urgent
- Proven experience managing critical production incidents under pressure
- Excellent communication and collaboration skills comfortable working with crossfunctional and geographically distributed teams
- Demonstrated ability to rapidly learn new technologies and drive selfdevelopment and knowledge sharing within the team
- Strong knowledge of LinuxUnix systems and networking fundamentals
- Handson experience with KVMVMware virtualisation
- Familiarity with cloud platforms AWS GCP or Azure and containerisation Docker Kubernetes
Skills
Mandatory Skills : API Gateway, GCP DevOps, Grafana, Java
Requirements
- Bachelors degree or equivalent in Computer Science or a related discipline
- 8 years of software engineering experience with at least 3 years in a leadership or technical lead role focused on DevOps Platform Engineering or SRE
- Solid understanding of how the internet and HTTP work under the hood DNS TLS load balancing reverse proxies service meshes and API gateways and how these come together in modern microservice architectures
- Handson experience with monitoring and observability tools such as Grafana and InfluxDB familiarity with time series databases and data visualization concepts
- A proactive mindset you spot problems performance bottlenecks and improvement opportunities before they become urgent
- Proven experience managing critical production incidents under pressure
- Excellent communication and collaboration skills comfortable working with crossfunctional and geographically distributed teams
- Demonstrated ability to rapidly learn new technologies and drive selfdevelopment and knowledge sharing within the team
- Strong knowledge of LinuxUnix systems and networking fundamentals
- Handson experience with KVMVMware virtualisation
- Familiarity with cloud platforms AWS GCP or Azure and containerisation Docker Kubernetes
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