{"id":"ab6f5757-dae3-4fe5-bac2-7df9d892c318","company":{"id":"8ce5dc01-ed2c-4d9e-aa23-cc279ca1332c","company_stack":[],"company_gallery":[],"company_stats":[],"company_about_section":{"name":"TMUS Global Solutions","video_link":null,"description":"<p>T-Mobile is America&rsquo;s supercharged Un-carrier, challenging conventions and setting new standards in wireless. 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We believe in investing in <strong>YOU</strong> — your growth, your leadership, and your impact. We’re unstoppable when driven individuals like you come together to solve bold challenges, inspire innovation, and create systems that power the future.&nbsp;</p><p>As a <strong>Principal Site Reliability Engineer</strong>, you’ll be part of a <strong>world-class engineering team</strong> building and scaling intelligent infrastructure to support <strong>LLM-based applications, AI gateways, and enterprise-scale platform services</strong> across finance, credit, collections, and document systems&nbsp;including integrations with lending platforms such as OFSLL. You’ll lead architecture and execution of <strong>AI observability frameworks</strong>, incident response systems, and operational excellence standards for high-performance, high-availability environments.&nbsp;</p><p>Your leadership will directly shape <strong>AI/ML infrastructure reliability</strong> across platforms and support rapid innovation, secure operations, and high-scale system availability — while championing <strong>modern SRE best practices</strong> across platform engineering. &nbsp;</p><p><strong>What You’ll Do;</strong></p><ul><li>Design, implement, and scale <strong>observability and incident response frameworks</strong> for AI infrastructure and mission-critical backend services.&nbsp;</li><li>Architect telemetry, tracing, and logging pipelines across <strong>LLM-based applications, inference APIs</strong>, and platform services&nbsp;&nbsp;</li><li>Define and enforce <strong>SLAs</strong>, alerting standards, and real-time dashboards for platform health, latency, throughput, and cost insights.&nbsp;</li><li>Drive <strong>real-time monitoring and incident detection</strong> across hybrid cloud environments&nbsp;&nbsp;</li><li>Lead root cause analysis and resolution of high-severity incidents tied to system availability, model performance, API latency, or scaling issues.&nbsp;</li><li>Partner with AI Architecture, Platform Engineering, and Security to enforce <strong>governance, compliance, and policy guardrails</strong> for production systems.&nbsp;</li><li>Drive <strong>automation-first</strong> reliability practices, leveraging GitLab CI/CD pipelines, and deployment automation.&nbsp;</li><li>Guide <strong>performance tuning</strong>, capacity planning, and cloud cost optimization strategies.&nbsp;&nbsp;</li><li>Mentor Sr. SREs and engineers, and foster a culture of <strong>technical excellence, continuous learning, and system ownership</strong>.&nbsp;</li><li>Support <strong>AIOps, model evaluation, and audit-readiness</strong> for enterprise-grade reliability standards. &nbsp;</li></ul><p><strong>What You’ll Bring:</strong></p><ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (preferred).&nbsp;</li><li><strong>10+ years</strong> in software operations, infrastructure, or SRE roles in distributed systems environments.&nbsp;</li><li>Strong experience in <strong>incident management, customer-facing platform operations</strong>, and performance engineering.&nbsp;</li><li>Hands-on experience with <strong>AI/ML infrastructure</strong> (OpenAI APIs, AI Gateways, AI Agents).&nbsp;</li><li>Expertise in <strong>Python, Java</strong>, along with scripting (e.g., Bash, PowerShell, YML).&nbsp;</li><li>Strong experience in tune and scale infrastructure components such as Kafka, HAProxy, RMQ, Oracle DB, MongoDB, and distributed APIs.&nbsp;</li><li>Strong knowledge of <strong>CI/CD</strong>, GitLab pipelines, software SDLC workflows, and deployment automation.&nbsp;</li><li>Proven success managing observability pipelines using <strong>Splunk, Prometheus, Grafana, OpenTelemetry</strong> or similar tools.&nbsp;</li><li>Familiarity with cloud-native platforms and infrastructure (OCI, Azure, AWS or GCP).&nbsp;</li></ul><p><strong>Preferred Qualifications:</strong></p><ul><li>Experience managing <strong>AI observability</strong> (token usage, golden set accuracy, latency scoring, throughput).&nbsp;</li><li>Experience with Oracle Financial Services applications beyond OFSLL</li><li>Deep expertise in Oracle Financial Services Lending &amp; Leasing (OFSLL) architecture, configuration, integrations, and platform capabilities</li><li>Knowledge of <strong>AIOps</strong>, model validation, policy enforcement, and secure API access controls.&nbsp;</li><li>Background in <strong>enterprise AI/ML platforms</strong>, especially in financial services.&nbsp;</li><li>Hands-on experience with <strong>Oracle DB, MongoDB</strong>, and building data monitoring pipelines.&nbsp;</li><li>Familiarity with governance frameworks, compliance audits, and AI risk management best practices.&nbsp;</li><li>Background in building <strong>secure, zero-downtime platforms</strong> with enterprise-scale SLAs.&nbsp;</li></ul><p><strong>Must Have Skills:</strong></p><ul><li>Deep expertise in <strong>SRE methodologies</strong>, including SLOs, SLIs, alerting, incident response, and chaos engineering.&nbsp;</li><li>Strong technical debugging skills across infrastructure, cloud, data, network and application layers.&nbsp;</li><li>Advanced knowledge of <strong>Kubernetes</strong>, container orchestration, and large-scale deployment patterns.&nbsp;</li><li>Proficiency in <strong>observability, automation, and site reliability engineering tooling</strong>.&nbsp;</li><li>Proven ability to design and manage <strong>high-availability, scalable platforms</strong> with security and performance in mind.&nbsp;</li><li>Effective communicator and collaborator across product, engineering, and operations teams.&nbsp;</li><li>Comfortable leading initiatives and mentoring engineers in a fast-paced, evolving environment.&nbsp;</li></ul>","employment_type":"Full-Time","industry":"","job_template":false,"country":{"name":"India","country_code":"IN","region":"Asia"},"is_job_displayable":true,"job_url":"https://talent500.com/jobs/t-mobile/principal-engineer-site-reliability-hyderabad-T500-27368","created_at":"2026-07-03T18:40:51.544774+05:30","updated_at":"2026-07-27T15:14:46.480040+05:30","title_alias_1":"Principal Engineer, Site Reliability","slug":"principal-engineer-site-reliability-hyderabad-T500-27368","summary":null,"typical_workday":null,"what_you_offer":null,"what_you_need_to_succeed":null,"responsibilities":null,"type":null,"min_experience_years":10,"max_experience_years":14,"ctc_unit":"LPA","is_featured_job":false,"is_active":true,"job_code":"T500-27368","external_id":39323,"external_job_code":"TMORL011","is_anonymized":false,"mercurial_skills":null,"open_date":"2026-07-03T17:49:52.995764+05:30","published_at":"2026-07-03T18:40:50.486455+05:30","anonymization_needed":null,"anonymized_description":null,"xml_feed_anonymization":null,"unregistered_user_anonymization":null,"registered_user_anonymization":null,"pre_application_email_anonymization":null,"mettl_account":null,"job_table_sub_head":null,"job_table_short_desc":null,"is_remote":null,"job_video":null,"job_video_title":null,"job_video_description":null,"job_image_url":"https://wattt.s3.ap-south-1.amazonaws.com/PRODUCTION/T500-27368.png","role_summary":"<p><strong>About T-Mobile:</strong><br>T-Mobile US, Inc. 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