Job Description & How to Apply Below
Location: Bengaluru
Why Lytx – Staff Site Reliability Engineer
At Lytx, our engineering culture is built around being hungry, low-ego, and highly capable. We are pragmatic engineers who take ownership, collaborate openly, and focus on delivering measurable operational impact. Our mission is to design, operate, and continuously improve the cloud infrastructure and operational platforms that power mission-critical SaaS and IoT services at scale.
As our platform grows in scale and complexity, we are investing in next-generation observability, intelligent automation, and data-driven operations to improve reliability, reduce operational noise, and enable faster detection and recovery. We are also expanding the use of AI and advanced analytics to move toward more proactive and automated operations.
The Site Reliability Engineering (SRE) team is responsible for the availability, reliability, observability, and resilience of our cloud-native environments. This includes building automation, improving operational intelligence, and partnering across engineering to ensure systems are designed and operated for reliability and scale.
As a Staff SRE, you will operate as a technical leader across multiple teams and services. You will drive reliability initiatives, influence architecture and operational practices, and lead efforts that reduce operational risk, improve system visibility, and increase the effectiveness of engineering through automation and intelligent operations.
If you enjoy solving complex distributed systems challenges, building scalable operational solutions, and leading improvements that have broad impact across the organization, this role is an excellent fit.
Responsibilities / You'll Get To
Technical Leadership Across Services - Lead reliability, performance, and operational improvements across multiple services or platform domains, working with engineering teams to ensure systems meet availability and scalability goals.
Observability Architecture & Strategy (Team-Level) - Design and drive improvements to monitoring, logging, tracing, and alerting. Establish patterns and reusable solutions that improve signal quality, reduce alert noise, and enable faster detection and diagnosis.
Operational Automation & AIOps - Lead initiatives that reduce operational toil through automation, including runbook automation, self-healing workflows, event correlation, anomaly detection, and automated remediation.
Incident Leadership & Systemic Improvement - Provide technical leadership during high-severity incidents and drive blameless postmortems that identify systemic issues and result in durable reliability improvements.
Reliability Engineering & Resilience - Partner with product and platform teams to embed reliability, performance, and fault tolerance into system design, including capacity planning, scaling strategies, and failure-mode analysis.
Infrastructure & Cloud Engineering - Design and implement scalable AWS infrastructure using Infrastructure-as-Code and cloud-native best practices, enabling consistent and reliable service operation.
Standards & Best Practices Influence - Influence SRE practices such as SLO/SLI design, alerting standards, operational readiness, and reliability reviews. Contribute to evolving operational standards and engineering guidelines.
Cross-Functional Collaboration - Work closely with developers, platform engineers, architects, and operations teams to drive reliability, observability, and operational maturity across the engineering organization.
Mentorship & Technical Guidance - Mentor Senior and mid-level engineers, provide technical guidance, and act as a subject matter expert for reliability, observability, and operational excellence.
Innovation & Tooling Evaluation - Evaluate and introduce new tools, AWS-native capabilities, and emerging observability or AI-enabled operational technologies that improve reliability and engineering efficiency.
Experience
Requirements / You'll Need
6 - 8 years of experience in SRE, Dev Ops, platform engineering, or cloud infrastructure roles supporting large-scale production environments.
Demonstrated experience leading reliability or infrastructure initiatives across multiple teams or services.
Strong experience operating 24/7 production systems, including incident leadership, root cause analysis, and proactive reliability improvement.
Cloud & Infrastructure
Deep hands-on experience designing and operating production workloads in AWS, including services such as EC2, EKS/ECS, RDS/Dynamo
DB, S3, ALB/NLB, VPC, IAM, and Cloud Watch.
Strong experience building and managing infrastructure using Terraform, Cloud Formation, or similar Infrastructure-as-Code tools.
Observability
Strong experience designing and implementing observability solutions using tools such as New Relic, Datadog, Prometheus/Grafana, Cloud Watch, or similar.
Experience with Open Telemetry or modern telemetry standards.
Experience improving telemetry quality, alert tuning, dashboard design, and operational visibility across…
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