Own and scale mission-critical erp/saas services while building intelligent, cloud-native capabilities. This role requires a sre mindset combined with ai/ml expertise and strong application engineering skills across public and private cloud environments.
qualifications
career level - ic4
responsibilities
key responsibilities
- end-to-end service ownership: design for telemetry, security, resiliency, scalability, and performance; lead sizing/architecture; drive service health reviews and process simplification.
- incident management and prevention: lead postmortems/rcas, coordinate fixes, define repair items, and implement data-driven prevention and continuous improvement.
- ai/ml and genai delivery: design and integrate solutions with llms, rag, agentic workflows, and conversational ai; build low-latency model serving and retraining pipelines.
- application engineering: develop performant microservices for distributed, containerized, cloud-native systems.
- automation: eliminate toil by automating operational workflows, recovery procedures, code delivery, and configuration management; build internal tools and reusable scripts/services to accelerate delivery and reduce errors.
- observability: define and implement monitoring, logging, alerting, and tracing strategies; establish slos/slis/error budgets; improve diagnostics and performance visibility for rapid triage.
- cross-functional collaboration: partner with product, operations, and data teams to translate requirements into secure, scalable solutions; communicate effectively with technical and non-technical stakeholders.
minimum qualifications
- bs/ms in computer science or related field; 10+ years of software engineering in cloud environments.
- strong in distributed systems/microservices using java / python; sql/data modeling; python for ai/automation.
- sre/devops expertise: systems and networking fundamentals, application security, observability, performance analysis, and incident response.
- proven sdlc excellence: code quality, reviews, version control, ci/cd, testing, and release engineering.
- excellent written and verbal communication; english fluency.
preferred/technical skills
- ai/ml/genai: experience with foundational models, rag, agentic architectures; model deployment, optimization, monitoring, and retraining.
- cloud and containers: experience with containerization, orchestration, and resilient, fault-tolerant microservices.
- observability: hands-on experience designing dashboards, alerts, traces, logs, and metrics; defining slos/slis and error budgets; on-call readiness and runbook quality.
- operations: performance tuning across java / python and sql for large-scale enterprise applications; strong linux/unix expertise; capacity planning and reliability reviews.
- automation and scripting: proficiency in scripting to automate operational workflows, build tooling, and ci/cd tasks (e.g., shell scripting, python, configuration-as-code, task runners).
- familiarity with enterprise erp applications and standard devops tooling and practices.
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