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Backend/SRE Engineer, Mid/Senior
SpartaBackend/SRE Engineer building distributed services and reliable real-time data infrastructure for Sparta’s commodity trading platform. Owning observability, Kubernetes, AWS operations, and production resilience.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in backend engineering and reliability engineering, with a strong focus on optimizing service performance and operational health. Proficient in AWS infrastructure management and container orchestration, ensuring high availability and low latency in production systems.
Highest-signal resume keywords
Backend EngineeringAWS Infrastructure ManagementKubernetes DeploymentCI/CD Pipeline DevelopmentIncident Response
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KotlinJavaPythonTypeScriptAWS CDKTerraformCloudFormationKubernetesKafkaFlink
Soft Skills
Clear CommunicationPragmatic Problem-SolvingHigh Ownership
Tools & Technologies
DatadogECSEKSRedisRDSRedshiftAgent-Based Development Tools
Industry Keywords
Service-Level ObjectivesOperational HealthComplex Distributed SystemsCloud SecurityCompliance
Tech Stack
Tools & technologiesAmazon RedshiftAWSCloudDistributed SystemsJavaKafkaKotlinKubernetesPostgresPythonRedisTerraformTypeScript
About the role
Key responsibilities & impact- Design, build and maintain backend services behind real-time and analytical data processing
- Optimise pipelines and services for low latency, high throughput and scale
- Own features end to end, from shaping the approach to running them in production
- Contribute to design reviews with a clear view on trade-offs
- Own the operational health of services and define and measure service health
- Improve observability, monitoring and alerting in Datadog
- Participate in incident response and address root causes
- Work with Lambda, ECS and EKS and help move workloads onto Kubernetes
- Operate Kafka, Flink, Redis/Valkey, RDS and Redshift infrastructure
- Extend AWS CDK infrastructure as code and CI/CD pipelines
- Reduce operational toil through automation
Requirements
What you’ll need- 4+ years as a software or reliability engineer with production systems built and supported
- High ownership tendencies
- Genuine interest in backend engineering and reliability engineering
- Strong proficiency in at least one of Kotlin, Java, Python or TypeScript
- Solid working understanding of AWS compute, networking, storage and IAM from production use
- Hands-on infrastructure as code experience with AWS CDK, Terraform, CloudFormation or similar
- Practical experience running, deploying, debugging and tuning container workloads on Kubernetes
- Experience with CI/CD tooling and understanding of a good delivery lifecycle
- Habit of instrumenting systems with metrics, logging and tracing
- Production ownership and incident response experience
- Experience defining or working to service-level objectives, or a clear sense of how to start
- Comfortable with agent-based development tools; Claude Code or equivalent
- Clear communication and pragmatic problem-solving
- Nice to have: Kubernetes/EKS platform experience, Datadog, Kafka, Flink, Redshift, clustered Postgres, error budgets, cloud security and compliance, complex distributed systems, or commodities, energy or financial markets experience
Benefits
Comp & perks- Hybrid working style with flexibility built in
- Ownership, support, and room to grow
- Equal opportunity employer promoting diversity