Senior Software Engineer- Site Reliability

External

Spgi · Hyderabad, India

Full-timeOn-siteToday

AWSCI/CDClassificationDNSDocumentationGenerative AI

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About the role

Grade Level (for internal use): 03 Who We Are Kensho is S&P Global's hub for AI innovation and transformation . With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on Generative AI, LLM Agents, speech recognition, entity linking, document extraction, text classification, natural language processing, and more. At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful. As a Senior Site Reliability Engineer (SRE) at Kensho, you will be a hands-on technologist who combines strong infrastructure expertise with solid software engineering skills Python first . You will be responsible for ensuring the reliability, scalability, and security of both business-critical internal systems and external, customer facing services . You will work closely with Infrastructure, Application, and Security teams to design resilient systems, automate operations, and continuously improve platform stability. This role requires deep ownership of production systems, strong troubleshooting skills across infrastructure, Container orchestration systems, networking, and applications , and comfort operating in a 24/7 on call environment .

Responsibilities

Own and operate production services supporting critical financial applications with a strong focus on availability, performance, and reliability

Design, build, and manage AWS infrastructure , including EKS-based clusters , across lower and production environments

Provision and manage infrastructure using Terraform (Infrastructure as Code) with a strong automation first mindset

Deploy, scale, and troubleshoot applications running on like Kubernetes , including cluster creation, upgrades, and lifecycle management

Build and maintain automation frameworks and tooling Python based to reduce operational toil and prevent recurring incidents

Monitor system health using metrics, logs, and alerts; continuously tune alerts, dashboards, and runbooks

Troubleshoot complex issues spanning clusters, networking, certificates, deployments, and application behavior

Manage certificate lifecycle and expiration , ensuring secure and uninterrupted service operation

Collaborate with InfoSec, Vulnerability Management, and Network Security teams (e.g., Zscaler) to maintain a strong security posture

Collaborate with L1/L2 teams , helping them understand infrastructure and operational best practices

Participate in on call and lead incident response, drive root cause analysis, and ensure effective post-incident remediation and learnings

Identify architectural anti-patterns and drive improvements by reviewing new services for production readiness, resiliency, and secure design prior to release

Establish and enforce production readiness standards, including deployment strategies, rollback plans, and observability requirements

Optimize infrastructure cost and resource utilization without compromising reliability and performance

What We Look For

6+ years of experience in SRE, DevOps, Platform, or Infrastructure Engineering roles

Strong software engineering background , with hands-on Python development used for automation, tooling, and system reliability

Experience building or supporting scalable, distributed systems in production

Deep experience with AWS cloud environments , including AWS, IAM, networking, and access controls

Strong hands-on expertise with similar tools like Kubernetes (EKS preferred) : cluster creation, deployments, scaling, and troubleshooting

Solid understanding of networking fundamentals (VPCs, routing, DNS, load balancing, security groups)

Experience with CI/CD pipelines, deployment tools, and infrastructure automation

Working knowledge of databases and query optimization , and understanding how applications behave under load

Familiarity with similar tools like Kafka or other messaging systems

Comfortable conducting code reviews and participating in coding focused interviews

Strong operational mindset with experience in incident management and on‑call rotations

Clear communicator and collaborative teammate who values documentation and knowledge sharing

How to Really Get Our Attention

Demonstrated ownership of large‑scale, production systems

Strong examples of Python based automation or internal tooling

Contributions to open‑source projects , infrastructure platforms, or reliability tooling

Experience working closely with securit

Senior Software Engineer- Site Reliability

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