Senior Staff Site Reliability Engineer Bengaluru, India Category: Information Technology Posted: 10/13/2026 Job ID: 18874

Job description

Overview Synopsys software engineers are key enablers in the world of Electronic Design Automation (EDA), developing and maintaining software used in chip design, verification and manufacturing. They work on assignments like designing, developing, and troubleshooting software, leveraging the state-of-the-art technologies like AI/ML, GenAI and Cloud. Their critical contributions enable world-wide EDA designers to extend the frontiers of semiconductors and chip development. Job Description Date posted 10/13/2026 Category Information Technology Hire Type Employee Job ID 18874 Remote Eligible No Date Posted 10/13/2026 We Are Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. You Are You have spent a decade building systems that need to stay up, not just run, actually stay up, under production load with real users depending on them. You know that observability is not about dashboards that look good in demos, it is about catching the signal before the page goes out at 2am. You think in SLOs and error budgets because you have lived through enough incidents to know that hope is not a strategy. You are the person who walks into a war room, pulls up three graphs, and knows exactly which service is choking and why. Linux is your native language. You have written enough Bash and Python to automate yourself out of repetitive work, and you know when to reach for Terraform or Ansible to make infrastructure repeatable. Cloud platforms like Azure do not intimidate you because you have built on them, broken things on them, and fixed them under pressure. EDA workloads are not abstract to you. You have worked with Grid Engine, LSF, or SLURM. You understand what it means when a compute-heavy job grid starts behaving strangely, and you know how to instrument it. Elasticsearch, Prometheus, Grafana, these are not buzzwords, they are tools you have deployed, tuned, and scaled. At Synopsys, you will build the observability backbone that keeps our Cloud and on-prem production systems visible, reliable, and ready for what comes next. What You'll Be Doing Design, build, and own the SRE and Observability platform that monitors production systems across on-prem and Azure Cloud environments, giving engineering and operations teams a real-time, holistic view of system health Partner with product, infrastructure, and application teams to define SLAs, SLIs, SLOs, error budgets, and KPIs that actually matter, then instrument systems to track them Automate deployment and configuration of monitoring tools using Terraform, Ansible, Bash, and Python to eliminate manual toil and reduce configuration drift Build custom scripts and tooling to extend observability capabilities, including proactive remediation workflows and self-healing automation that catches issues before they become incidents Lead root cause analysis on production incidents, write detailed postmortems for stakeholders, and drive systemic fixes that prevent recurrence Mentor junior SREs and Cloud Operations engineers, providing technical guidance on Linux systems, observability tooling, and SRE best practices Evaluate, test, and integrate new observability and reliability tools and technologies, including AI-assisted monitoring, copilots, and emerging patterns like MCP and RAG The Impact You Will Have Production systems across Synopsys Cloud will be more visible, more reliable, and easier to debug because of the observability platform you build Engineering teams will spend less time firefighting and more time building because your automation catches problems early and fixes them without human intervention Incident response times will drop because the right data will be surfaced at the right time, and teams will know what to look at first SRE practices will become embedded across the organization as you define KPIs, error budgets, and reliability standards that other teams adopt Junior engineers will grow faster because you will teach them how to think about reliability, not just react to alerts The Cloud Operations team will scale more effectively because repeatable, automated workflows replace one-off manual fixes Stakeholders will have confidence in production stability because postmortems and reliability metrics will be clear, honest, and actionable What You'll Need 10+ years of hands-on experience in software development, system administration, or site reliability engineering with a focus on production systems Deep expertise in Linux OS internals, networking, and NFS technologies, you should be able to troubleshoot kernel-level issues and performance bottlenecks Strong experience with Elasticsearch for log aggregation and search, this is non-negotiable for the role Solid programming and scripting skills in Bash and Python, with proven ability to build automation that runs in production Hands-on experience with infrastructure as code using Terraform and configuration management using Ansible Expertise in at least one major cloud platform, Azure strongly preferred, AWS or GCP also relevant Experience working with EDA workloads and job schedulers like Grid Engine, LSF, or SLURM in production environments, experience with Prometheus and Grafana is a strong plus, familiarity with Docker, Swarm, or Kubernetes is helpful but not required Who You Are You have a proactive mindset, you spot performance bottlenecks and reliability risks before they become incidents, and you act on them without being asked You can explain a complex system failure to a VP in two sentences without losing the technical nuance, and you can write a postmortem that engineers and executives both find useful You are comfortable working across teams, you know how to pull the right data from product engineers, negotiate SLOs with stakeholders, and get buy-in for automation projects You do not need perfect requirements to move forward, you ask the right questions, make reasonable assumptions, document them, and iterate as you learn more You care about the details, monitoring configurations, alert thresholds, dashboard layouts, because you know that small mistakes in observability tooling create big problems downstream You are someone who mentors by doing, you pair with junior engineers, review their scripts, and show them how to think through reliability tradeoffs in real time The Team You'll Be Part Of You will join the Synopsys Cloud infrastructure team, a group responsible for the reliability and observability of production systems running on Azure, GCP, AWS. This team builds the infrastructure that keeps EDA workloads running at scale, and your work will directly support engineering teams across the company who depend on stable, visible, and well-instrumented systems. Rewards and Benefits We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability. Apply Email LinkedIn X Facebook Benefits At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We're proud to provide the comprehensive benefits and rewards that our team truly deserves. Visit Benefits Page Healt