Site Reliability Engineer
amtexenterprises· enterprise· Information Technology And Services· Oct 5, 2026 · 22d ago
Irvine, CA
In office
Full-time
Senior
$121K–$180K est.
4+ years exp
Job description
Job Title : Site Reliability Engineer
Duration: Initial 3–6 months, C2H
Location: Irvine, CA- Onsite, 5 days per week
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INFO REQUIRED TO SUBMIT:
• Updated resume
• Candidate location & onsite confirmation
• Years of experience in AWS, Kubernetes, Terraform, CI/CD
• SRE/DevOps experience summary
ABOUT THE ROLE:
The SRE will embed directly with product teams to support platform reliability, troubleshoot issues, and act as the bridge between development, platform engineering, and cloud infrastructure. This is not a coding-heavy role and focuses on systems understanding, troubleshooting, Kubernetes operations, cloud infrastructure, CI/CD pipelines, and production stability. The team is newly formed and supports product-facing platform needs after splitting from core cloud/DevOps engineering.
Seniority Level / Target Experience:
Mid-level (4–6 years). Not junior; not senior/staff-level.
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Top 3–5 Technical Skills:
Must-Have:
1. AWS (strong hands-on production experience)
2. Kubernetes (cluster ops, configuration, debugging)
3. Terraform (IaC)
4. CI/CD & DevOps (pipelines, deployments, automation)
5. Observability fundamentals (Grafana, logs/metrics/traces)
Bonus (Not Required):
• Kafka / Streaming
• MLOps / AI infrastructure
• Event-driven or ML-driven platform experience
• Platform ownership post-vendor POC
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Timeline to Start / Fill:
Immediate need; start as soon as they identify a strong candidate.
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Interview Process:
3 Rounds
1. Hiring Manager + Lead Engineer – Preliminary technical screen
2. Full Technical Panel (~1 hour) – Deep technical problem-solving & troubleshooting
3. Culture / Team Fit – Prefer onsite if local; remote OK if relocating
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ADDITIONAL INFO:
• Bachelor’s degree preferred but equivalent experience accepted
• Strong troubleshooting skills across distributed systems
• Must be comfortable in a high-change, incident-driven environment
• Will participate in on-call support and incident response
• Role sits on a new Product Platform team (separate from core DevOps/cloud)
• Focus is platform reliability, not feature development
• Must be highly organized, detail-oriented, and able to work independently
Site Reliability Engineer (SRE) – Product Platform Team
Role Overview:
As a Site Reliability Engineer, you will be immersed in a high-performing and frequently challenged team responsible for the reliability, scalability, and operational excellence of PDS’s product platform. You will work and consult closely with engineering and product teams to design, build, and operate resilient platform services, implement automation and reliability frameworks, and ensure the availability and performance of shared platform capabilities. You will also be responsible for the ongoing operation, monitoring, and continuous improvement of platform infrastructure and services that support all product teams.
Responsibilities:
Must Have:
•Cloud Architecture & Infrastructure Engineering
o Architect and maintain multi-cloud infrastructure (AWS and GCP and Azure) to support enterprise-scale healthcare operations.
o Implement Infrastructure-as-Code (IaC) using Terraform, Helm charts, and CloudFormation to automate resource provisioning and ensure consistency across environments.
o Configure, manage, and deploy Kubernetes clusters and cloud native tooling according to best practices for scaling, resiliency, and reliability.
o Manage and optimize multi-cluster Kubernetes environments, utilizing Istio service mesh for advanced traffic management, service discovery, and observability.
o Enforcing security standards and SAST, DAST, code quality scans on the Kubernetes cluster and application pipelines and containers and remediating any security findings related to the platform.
o Design solutions that are aligned with business value in regard to TCO and ROI.
o Design cross-region disaster recovery strategies and rolling deployment architectures to ensure high availability and business continuity for mission-critical applications.
DevOps & Automation
oDevelop and maintain CI/CD pipelines using BitBucket Pipelines and ArgoCD, leveraging GitOps practices for automated testing and deployment.
oDevelop and implement database deployment pipelines using Liquibase
oCreate automation for infrastructure and application configuration using Ansible
oImplement automated health validation and failover capabilities to facilitate zero-downtime updates.
oProvide technical mentorship to engineering teams on event-driven architecture, streaming best practices, and DevOps methodologies.
Security, Compliance & Observability
oDesign comprehensive monitoring and observability solutions using Prometheus, Grafana, and OpenTelemetry for distributed tracing and system performance visibility.
oImplement robust security architectures using Conjur Cloud for automated credential rotation and default-deny network policies.
oConfigure advanced authentication mechanisms, including SASL/SSL with SCRAM-SHA-512, and manage RBAC permissions for database clusters.
oEnsure infrastructure adherence to regulatory compliance frameworks (HIPAA, SOC 2, ISO 27001) through automated policy enforcement and encrypted communication channels.
oBuilding “Golden Signal” dashboards (Latency, Traffic, Errors, Saturation) that automatically populate for every new microservice.
oCreate automation to reduce TOIL and auto healing for remediations within monitoring
oTrack application and platform costs from all layers and optimize costs on the platform.
Nice to Have:
•Event Streaming & Data Processing
o Architect real-time stream processing applications using Apache Flink with high-availability configurations, incorporating RocksDB state management and persistent storage.
oBuild and manage event streaming infrastructure using Apache Kafka (Amazon MSK) and Kafka Connect, ensuring seamless data ingestion and integration.
oImplement Debezium CDC (Change Data Capture) for real-time synchronization of MongoDB data streams.
oManage Confluent Schema Registry to support Avro, JSON, and Protobuf schemas, ensuring backward compatibility across data pipelines.
oAutomate data pipelines and orchestration using Dagster and cloud-native data services.
•MLOps, AI Infrastructure
oDesign and implement AI platform architecture to support MCP and agents using cloud native tools and security best practices
oEstablish and maintain MLOps pipelines using MLflow and Kubeflow to support the training, deployment, and monitoring of machine learning models.
oDesign infrastructure to support Generative AI (Gen-AI) and Large Language Models (LLM), specifically regarding Retrieval-Augmented Generation (RAG) implementations.
oCreate monitoring systems around AI applications to ensure performance and accuracy
oConfigure and deploy vector database to maintain scalability and indexing performance for RAG based AI workloads
oImplement security and guardrails around AI workloads
Qualifications:
Required:
•BS degree in Computer Science or related field plus 4 years of relevant technology experience or equivalent combination of education & education & experience in lieu of degree, 4+ years of relevant expertise is required.
•Hands-on experience supporting production-grade cloud infrastructure in at least one major cloud provider (AWS, GCP, or Azure).
•Practical experience operating and maintaining Kubernetes-based platforms in production environments.
•Experience with Infrastructure as Code (IaC) tools such as Terraform, Helm, or CloudFormation.
•Working knowledge of CI/CD and GitOps practices, including automated testing and deployment pipelines.
•Experience implementing or supporting monitoring, alerting, and observability solutions (metrics, logs, traces).
•Strong troubleshooting skills across distributed systems, including performance, availability, and reliability issues.
•Proficiency in at least one scripting or programming language (e.g., Python, Go, Bash).
•Experience participating in on-call rotations, incident response, and root cause analysis
Preferred:
•Experience operating multi-cloud environments (AWS, GCP, Azure).
•Experience with event streaming platforms such as Apache Kafka, Kafka Connect, or managed services (e.g., Amazon MSK).
•Familiarity with service mesh technologies (e.g., Istio) and advanced traffic management patterns.
•Exposure to stream processing frameworks (e.g., Apache Flink) and CDC tools such as Debezium.
•Experience supporting MLOps or AI infrastructure, including ML pipelines, model deployment, or GenAI workloads.
•Familiarity with observability standards such as OpenTelemetry and Golden Signals (Latency, Traffic, Errors, Saturation).
•Experience working in regulated environments and supporting compliance frameworks (HIPAA, SOC 2, ISO 27001).
•Experience implementing security best practices for cloud-native platforms (IAM, secrets management, RBAC).
•Prior experience in platform engineering or internal developer platforms.
•Exposure to cost optimization and FinOps practices in cloud environments.
Knowledge/Skills/Abilities:
•Ability to multi-task effectively without compromising the quality of the work.
•Excellent interpersonal, oral and written communication skills.
•Detail oriented, organized, process focused problem solver, proactive, ambitious, customer service focused.
•Ability to draw conclusions and make independent decisions with limited information.
•Ability to respond to common inquiries from customers, staff, regulatory agencies, vendors and other members of the business community.
•Self-motivated, reliable individual capable of working independently as well as part of the team.
•Motivated to drive improvement in a challenging environment.
•Strong background in data structures, algorithms and debugging.
•Demonstrated technical leadership, and successful participation in projects involving multiple engineers.
•Ability to learn quickly, understand complex systems and to work closely with others across multiple teams.
•Ability to handle uncertainty, time pressure and large technical challenges.
•Ability to deliver high-quality work on time.
•Strong attention to details, highly organized, computer literate
Interested candidates send your resume to alex@amtexenterprises.com
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