Site Reliability Engineer

We are seeking an experienced engineer who can analyze, diagnose, and optimize performance and reliability of large-scale distributed systems. This role requires deep technical understanding across the entire application stack, the ability to read and reason about code, and the capability to provide data-backed answers to both engineering teams and business stakeholders.This role goes beyond traditional operations or DevOps. The successful candidate will think like a software engineer, act like a systems engineer, and operate with a production-first mindset.Key Responsibilities:- Performance & Reliability EngineeringAnalyze and resolve performance issues such as high latency, slow login, throughput degradation, and system instability.Perform deep, end-to-end investigations across the full stack including: Load balancers and traffic routingWeb server and application runtime configurationsMiddleware and messaging systemsDatabase performance (queries, indexing, pooling)Kubernetes clusters (pods, resources, scaling behavior)Linux OS tuning (CPU, memory, I/O, ulimits, networking)Identify root causes and propose clear, actionable engineering solutions.Distributed Systems DesignDesign, review, and influence high-performance, highly-available distributed architectures.Evaluate trade-offs related to scalability, latency, fault tolerance, and cost.Partner with development teams early to prevent reliability and performance issues before production.Capacity Planning & ScalabilityAssess system readiness for growth scenarios such as: “We plan to onboard 10,000 users in 6 months — can the system support it?”Perform capacity and scale analysis for: Application tiersDatabasesMessaging systemsKubernetes compute and storageProvide evidence-based recommendations supported by metrics, benchmarks, and production data.Engineering CollaborationWork closely with software engineering teams to: Review performance-critical code pathsPropose improvements at code, configuration, or infrastructure levelImprove system observability (metrics, logs, traces)Communicate complex technical findings clearly to both engineers and business stakeholders.Required Technical SkillsStrong understanding of distributed systems and performance engineeringAbility to read, analyze, and troubleshoot Java codeHands-on experience with: Kubernetes (resource management, scaling, container behavior)Linux internals and tuningPostgreSQL (queries, indexing, performance optimization)Proven experience building or operating high-availability, high-throughput systemsStrong analytical and problem-solving skills with a data-driven approachNice to HaveExperience with Azure cloud servicesMessaging systems such as ActiveMQLoad testing and benchmarking experienceBackground in roles such as SRE, Performance Engineering, Platform EngineeringTechnical SkillsRequired Skills & QualificationsHands-on experience with cloud platforms (Azure.Strong scripting skills (e.g., Python, Bash, PowerShell, or similar).Experience with deployment pipelines, automation, and monitoring tools.Solid understanding of cloud infrastructure, networking, and application operations.LLM & AI ExperiencePractical experience working with Large Language Models (LLMs).Familiarity with applying LLMs to engineering or operational workflows is required.Professional AttributesStrong desire to learn and deeply understand complex systems.Self-starter with the ability to take ownership and drive initiatives independently.Demonstrates leadership, accountability, and problem-solving mindset.Strong collaboration and communication skills