Specialist, Software Development & Engineering - AI Devops & Release Engineer (Hyderabad)

Specialist, Software Development & Engineering - AI Devops & Release Engineer (Hyderabad)

31 Jul
|
Charles Schwab India
|
Hyderabad

31 Jul

Charles Schwab India

Hyderabad

Your opportunity At Charles Schwab, our purpose is simple: we championclients’goals with passion and integrity. Guided by honesty, mutualrespectand a commitment to doingwhat’sright, we bring innovation, education, and service together to help shape financial futures. Our people are the foundation of our success – they approach their work with curiosity and collaboration, coming together to create solutions that make a meaningful impact for clients and communities.

As we expand into India, we are bringing this same culture of inclusion, learning, and opportunity to new talent. Joining us means becoming part of a global team where your work matters and your future can take shape. Our Hyderabad location is central to Schwab’s growth, bringing together talented people and technology to drive innovation,scale,and efficiency.

Here, you will work alongside teams who create solutions that support millions of clients every day. The work you do is more than daily operations –it’sa chance to experiment, learn, and build within avalue–driven, supportive environment. This is a unique opportunity to be part of our early growth phase and shape something new, backed by the stability and strength of a Fortune 500 company.

Your impact begins on day one, and your contributions will help define our future in the region We are seeking an AI Site Reliability Engineer to join a forward-thinking engineering team that builds intelligent observability, monitoring, and deployment automation solutions using AI-augmented development practices. This is not traditional production support. You will build software solutions for operational challenges,leveragingGen AI to accelerate workflows, automate incident response, and drive systems toward five 9s (99.999%) availability while ensuring capacity planning, redundancy, and the highest standards of reliability, security, and scalability.

This is a hands-on engineering role where you will actively contribute to architecture, code, AI-driven tooling, and modern DevOps practices. Ideal for engineers who are curious, adaptable, and excited about working at the intersection of software engineering, AI, and cloud-native DevOps KeyResponsibilities High Availability & Resilience Design and implement architectures that achieve and sustain 99.999% uptime across critical systems

Define, measure, and track SLOs, SLIs, and error budgets

Build AI-powered self-healing systems with automated failover, redundancy, and graceful degradation

Perform AI-assisted capacity planning, demand forecasting, and load testing

Conduct chaos engineering practices enhanced with AI-driven failure prediction Observability & Monitoring Design, build, andmaintainAI-enhanced observability platforms covering metrics, logs, traces, and intelligent alerting

Implement AI-powered anomaly detection, predictive alerting, and proactive system health management

Leverage Gen AI to auto-generate and refine dashboards, alert rules, and runbooks

Build real-time availability dashboards with AI-driven trend analysis tracking 99.999% targets Root Cause Analysis Build AI-accelerated root cause analysis processes with thorough postmortems and actionable remediation

Develop AI-powered diagnostic tools that automatically correlate logs, metrics, and traces





Use Gen AI to analyze incident patterns, predict recurring failures, and recommend preventive actions

Build AI agents that automate initial triage and preliminary RCA for common incident types

Continuously reduce MTTD and MTTR through AI-assisted workflows Deployment Automation & DevOps (GitHub-Centric) Design andmaintainAI-enhanced CI/CD pipelines using GitHub and GitHub Actions as primary DevOps platforms

Implement workflows for build, test, deploy, and release automation using GitHub Actions

Enable progressive delivery with canary releases, blue-green deployments, and automated rollbacks triggered by AI-driven anomaly detection

Leverage Gen AI to generate andoptimize: oGitHub Actions workflows oDeployment scripts oInfrastructure-as-Code (IaC) templates

Establish branching strategies, PR governance, and code review standards to ensure quality and reliability

Integrate GitHub ecosystem capabilitiesincluding: oGitHub Advanced Security (code scanning, secret scanning) oGitHub Packages/Artifacts for build distribution

Build AI agents to automate repetitive DevOps and release management tasks

Drive end-to-end DevOps observability across pipelines, deployments, and production systems AI-Driven Development Use GenAI tools (GitHub Copilot) for coding, debugging, documentation, and operations

Developer ownership is non-negotiable all code, whether human or AI-generated, must be reviewed, tested, and understood before merging

Design and develop AI agents for incident response, log analysis, capacity management, and operational automation

Define agent goals, tool use, memory, and orchestration logic for multi-step SRE workflows

Apply spec-driven development and continuously evaluate emerging Gen AI tooling Testing & Quality Leverage Gen AI to generate tests,identifycoverage gaps, and create edge-case scenarios

Drive AI-powered security scanning, performance testing, and reliability validation early in development

Embed quality gates within GitHub Actions pipelines to enforce standards Modernization & Collaboration Modernize existing monitoring, alerting, and deployment systems using AI-assisted workflows

Identifytechnical debt and propose AI-accelerated remediation strategies with measurable outcomes

Participate in architecture discussions, design reviews, and code reviews

Develop andmaintainprompt engineering guidelines and AI usage standards

Share learnings, patterns, and tooling insights across the organization What you have Required Qualifications 5+ years of software engineering experience with a strong focus on SRE, DevOps, ReleaseManagementor platform engineering

Bachelor’s degree in computer science or equivalent

Hands-on technicalexpertisewith ability to architect, review code, and influence critical decisions

Proven experience operating systems at 99.99% or higher availability





Hands-on experience with GenAI coding tools anddemonstratedability to apply them effectively DevOps & Source Control

Strong hands-on experience with Git-based workflows (GitHub preferred)

Deepexpertisein GitHub Actions for CI/CD automation

Experience designing end-to-end CI/CD pipelines using GitHub ecosystem

Strong understanding of branching strategies, pull request workflows, and code review practices

Experience integrating security, testing, and quality gates into CI/CD pipelines Technical Stack

Proficiencyin Java, with scripting skills in Python, Bash, or PowerShell

Experience building AI agents for operational automation

Robust prompt engineering skills with ability to contribute to team-level AI practices

Deep understanding of HA patterns including active-active, multi-region failover, and distributed systems

Hands-on experience with observability platforms (Datadog, Splunk, Grafana, Prometheus, ELK, etc.)

Proventrack recordleading RCA efforts and driving reliability improvements

Strong CS fundamentals including system design, networking, concurrency, and algorithms PreferredQualifications Experience with cloud platforms (GCP) and IaC tools (Terraform)

Experience with containerization and orchestration (Docker, Kubernetes)

Knowledge of chaos engineering and ML-powered anomaly detection

Experience with legacy system modernization What Success Looks Like

Drives and sustains 99.999% availability through AI-enhanced reliability engineering

Delivers AI-powered observability that predicts issues before customer impact

Continuously reduces MTTD and MTTR through AI-driven RCA and automation

Builds fully automated GitHub-native CI/CD pipelines enabling zero-downtime releases

Eliminatesoperational toil through AI agents and intelligent automation

Takes full ownership of all code, including AI-generated output, with rigorous validation

Elevates DevOps maturity by standardizing GitHub workflows, automation, and engineering practices

Growsexpertiseacross SRE, DevOps, AI agents, and GenAI-enabled development What’s in it for you At Schwab India, you’re empowered to shape your future. We support your growth through meaningful work, continuous learning, and a culture rooted in trust and collaboration – so you can build the skills to make a lasting impact. Our benefits are designed to care for your wellbeing, your family, and your long-term financial security.

Our Base

Benefits, Wellbeing, And Total Rewards Include Competitive compensation and retirement programs including Employee Provident Fund (EPF), Gratuity, and optional National Pension System (NPS) contributions

Robust Paid Time Off, including annual/privilege leave, sick and casual leave, public holidays, maternity/paternity leave, and more

Education assistance for continued learning to help you grow

Comprehensive medical insurance with Outpatient Department (OPD) services, including vaccination, pharmacy, dental, and vision coverage

Annual reimbursement for health check-ups and mental health support through our Employee Assistance Program (EAP)

Childcare (creche) reimbursement for eligible employees

Transportation and meal benefits that support your day-to-day work

Group life, personal accident, and critical illness insurance Apply

📌 Specialist, Software Development & Engineering - AI Devops & Release Engineer (Hyderabad)
🏢 Charles Schwab India
📍 Hyderabad

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