Journey-Centric Lead Site Reliability Engineer

SELF Inc
United States
11 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Cloud Computing Complex Networks Domain Name System (DNS) Monitoring of Systems Network Layer Log Analysis Reliability Engineering Site Reliability Engineering Practices TCP/IP Load Balancing
+9 more
Istio System Availability Mttr Infrastructure as Code (IaC) Amazon Virtual Private Cloud (VPC) Deployment Automation Api Gateway Dynatrace Microservices

Job description

We are seeking a highly experienced Journey-Centric Lead Site Reliability Engineer (SRE) with Banking and Financial Services (BFS) domain experience to drive end-to-end reliability, observability, automation, and operational excellence across critical customer and business journeys. This role will lead the design and implementation of modern SRE practices, unified observability platforms, self-healing capabilities, AI-driven operations, and workflow automation to ensure highly resilient, scalable, and intelligent digital services., SRE & Reliability Engineering

· Define and implement enterprise-scale SRE best practices across critical applications and digital journeys.

· Establish reliability frameworks, operational standards, and governance models.

· Drive proactive reliability engineering initiatives to improve system availability, resilience, and performance.

· Lead incident management, postmortem analysis, root cause investigations, and reliability reviews.

Unified Observability & Monitoring

· Design and implement a unified observability strategy encompassing metrics, logs, traces, events, and user experience telemetry.

· Build comprehensive observability dashboards for business and technology stakeholders.

· Implement distributed tracing and end-to-end monitoring across complex microservices ecosystems.

· Define observability standards and instrumentation frameworks across engineering teams.

Log Analytics & Trace Correlation

· Enable unified logs, metrics, and trace correlation capabilities for rapid issue detection and troubleshooting.

· Deploy intelligent correlation engines for root cause analysis.

· Improve Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) through observability-driven insights.

· Establish service dependency mapping and journey-centric operational visibility.

Self-Healing & Autonomous Operations

· Design and implement self-healing capabilities using event-driven automation and AI-assisted remediation.

· Develop automated recovery processes for common failure scenarios.

· Create autonomous operational workflows that minimize manual intervention.

· Integrate predictive alerting and automated response mechanisms.

Automation & Workflow Engineering

· Build scalable operational automation frameworks.

· Develop infrastructure, application, observability, and operational workflows using Infrastructure as Code (IaC), Monitoring as Code (MaC), and Observability as Code (OaC).

· Automate deployments, monitoring, remediation, and operational runbooks.

· Reduce operational toil through intelligent engineering solutions.

SLO, SLA & Error Budget Management

· Define and govern measurable Service Level Objectives (SLOs), Service Level Agreements (SLAs), and Error Budgets.

· Partner with engineering and business teams to align reliability targets with customer expectations.

· Establish service maturity metrics and reliability scorecards.

· Drive data-driven operational decision-making through reliability KPIs.

Network & Platform Reliability

· Apply deep understanding of:

o Understanding of network layer to troubleshoot critical bandwidth/latency issues

o No need to pass all these:

o TCP/IP

o DNS

o Load Balancing

o CDN

o API Gateway architectures

o Service Mesh technologies

o VPC and cloud networking

· Troubleshoot complex network performance and availability issues.

· Ensure end-to-end reliability across cloud and hybrid environments.

AI Ops & AWS AgentCore

· Implement and operationalize AI Ops platforms and autonomous operations capabilities.

· Leverage AWS AgentCore to build intelligent operational agents for functions like:

o Incident response

o Root cause analysis

o Predictive remediation

o Capacity forecasting

o Automated operational workflows

· Drive adoption of GenAI-powered operational intelligence across the enterprise.

Requirements

The ideal candidate combines deep SRE expertise with strong platform engineering, cloud operations, networking, observability, and AI Ops experience, with a particular focus on AWS AgentCore-powered operational intelligence and autonomous operations.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:50 min

Navigating specialized roles and toolsets across engineering teams

Nele Uhlemann · World Congress 2023

5:02 min

Mapping distributed compute paradigms to modern vehicles

Joachim Werner · LIVE

2:53 min

Configuring dynamic proxy updates with Istio Pilot

Jan Mensch Jan Mensch · World Congress 2026 Europe

3:08 min

Aligning engineering processes with core business impact metrics

Chris Riley · World Congress 2021

3:50 min

Queues in TCP stacks and continuous network connections

Clemens Vasters Clemens Vasters · World Congress 2022

7:15 min

Installing Istio programmatically with bash scripts

Thomas Südbröcker · LIVE

Videos

See all

Related articles

See all