Job Description:Job Title: Senior Lead SRE / DevOps Platform Engineering – Data Platform Reliability - VP
Location: Bangalore, India
Corporate Title: VP
Role Description
- Technology/Service is responsible for delivering the business vision and strategy at a global level, focusing on achieving consistent operational excellence, platform reliability, automation, and client/user satisfaction through industrialization, technology modernization, and engineering excellence.
- The role requires a highly experienced Senior Site Reliability Engineer (SRE) / DevOps Engineering Lead with strong expertise in Cloud, Automation, Platform Engineering, Reliability Engineering, Critical Incident Management, and Data Platform Operations.
- The ideal candidate should possess strong technical leadership capabilities, an automation-first mindset, and the ability to drive complex incidents toward resolution while ensuring platform stability and operational excellence.
What we’ll offer you
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy
- Best in class leave policy
- Gender neutral parental leaves
- 100% reimbursement under childcare assistance benefit (gender neutral)
- Sponsorship for Industry relevant certifications and education
- Employee Assistance Program for you and your family members
- Comprehensive Hospitalization Insurance for you and your dependents
- Accident and Term Life Insurance
- Complementary Health screening for 35 yrs. and above
Your key responsibilities
Digital & Technology Strategy
- Create and drive technology transformation initiatives aligned with organizational goals.
- Identify opportunities to modernize platforms through cloud adoption, automation, and engineering best practices.
- Act as a technology change agent promoting DevOps, SRE, and automation culture.
- Apply industry-leading practices and emerging technology trends to improve platform reliability and operational efficiency.
CI/CD & Release Engineering
- Design, implement, and optimize CI/CD pipelines using Jenkins, GitHub Actions, and Azure DevOps.
- Standardize build, testing, and deployment frameworks across applications and platforms.
- Integrate automated testing practices including unit, integration, performance, security, and regression testing.
- Drive trunk-based development and modern DevOps engineering practices.
- Improve deployment reliability through release orchestration and deployment automation.
Cloud & Infrastructure Automation
- Build and manage infrastructure using Infrastructure as Code (Terraform preferred).
- Support and optimize cloud-native deployments across Azure, AWS, and GCP environments.
- Implement containerization strategies utilizing Docker and Kubernetes platforms (AKS, EKS, GKE).
- Define automated environment provisioning, capacity planning, scaling, and cost optimization strategies.
- Implement secure, scalable, and resilient cloud infrastructure architectures.
Platform Stability & Reliability Engineering
- Improve platform resilience, availability, observability, and production stability.
- Establish and drive SRE practices across the platform landscape.
- Strong understanding of SRE principles including Customer/User Journeys (CUJ), SLI, SLO, SLA, Error Budgets, and Non-Functional Requirements (NFRs).
- Implement enterprise monitoring and observability solutions using Splunk, New Relic, Prometheus, Grafana, Dynatrace, Elastic Stack, App Insights, or equivalent platforms.
- Lead Root Cause Analysis (RCA) activities and define preventive and corrective action plans.
- Design proactive monitoring, alerting, and reliability controls that reduce operational risks and improve customer experience.
Data Platform Reliability & Engineering
- Support and manage large-scale Data Platforms and business-critical data ecosystems.
- Strong understanding of end-to-end data workflows, data lineage, and data lifecycle management.
- Ability to analyze and troubleshoot upstream and downstream data dependencies across multiple platforms.
- Experience supporting batch and real-time data processing environments.
- Understanding of ETL processes, data ingestion, transformation, reconciliation, and data quality validation.
- Monitor and manage data pipeline health, data delivery reliability, and operational performance.
- Proactively identify bottlenecks, data quality issues, and platform risks impacting business operations.
- Collaborate with Data Engineering and Application teams to enhance data reliability and operational excellence.
ITIL, Incident & Service Management
- Strong understanding of ITIL practices including:
- Incident Management
- Major Incident Management
- Problem Management
- Change Management
- Service Request Management
- Service Level Management
- Lead critical production incidents and coordinate technical war-room activities.
- Drive incidents toward resolution through effective technical leadership, stakeholder management, and cross-team collaboration.
- Ensure timely service restoration while minimizing business impact.
- Conduct Post Incident Reviews (PIR) and Problem Management activities.
- Identify recurring issues and implement permanent corrective actions.
- Drive continuous service improvement initiatives based on operational learnings.
- Ensure adherence to SLA, SLO, and operational governance standards.
Automation & Operational Excellence
- Design and implement automation solutions to eliminate repetitive operational tasks.
- Develop self-healing solutions and automated remediation capabilities.
- Build operational tooling to improve efficiency and platform reliability.
- Enhance monitoring, alerting, and observability through intelligent automation.
- Drive reduction of manual intervention and operational overhead through engineering-led automation initiatives.
- Implement Blue-Green, Canary, and Zero-Downtime deployment strategies where applicable.
DevSecOps & Compliance
- Ensure adherence to banking regulatory, compliance, and audit requirements.
- Implement secure secrets management and configuration management practices.
- Integrate security controls into CI/CD pipelines and cloud environments.
- Support vulnerability management and security remediation initiatives.
- Ensure platform compliance with enterprise security standards and governance requirements.
Critical Thinking & Problem Solving
- Demonstrate strong analytical and out-of-the-box thinking capabilities during complex production challenges.
- Ability to rapidly assess business impact and formulate solution strategies during service disruptions.
- Lead technical investigations involving multiple interconnected systems and dependencies.
- Work effectively under pressure in high-severity incident scenarios.
- Focus on sustainable solutions, resilience engineering, and long-term reliability improvements rather than temporary fixes.
- Proactively identify risks and recommend engineering solutions to prevent future failures.
Collaboration & Leadership
- Collaborate closely with Development, Architecture, QA, Operations, Data Engineering, Infrastructure, and Business teams.
- Mentor and develop junior engineers and SRE team members.
- Drive cross-functional collaboration and operational standardization initiatives.
- Lead platform modernization efforts including migration from monolithic architectures to cloud-native and microservices-based solutions.
- Influence engineering teams toward adoption of reliability and automation best practices.
- Effectively communicate technical and business impacts to senior leadership and stakeholders.
Your skills and experience
- Banking and Financial Services domain experience.
- Understanding of ITSM tools such as ServiceNow.
- Programming experience in Java, C#, or similar development languages.
- Understanding of three-tier application architectures.
- Experience with AI-driven automation for cloud operations and infrastructure management.
- Familiarity with AIOps platforms, anomaly detection, predictive alerting, and intelligent observability solutions.
- Experience leveraging AI/ML capabilities for incident prediction, RCA, and automated remediation.
- Exposure to Data Engineering, Data Lake, Data Warehouse, or Big Data platforms.
Skills & Experience
- Bachelor's Degree or higher in Computer Science, Engineering, Information Technology, or related fields.
- 15+ years of overall IT experience with 8+ years in SRE, DevOps, Platform Engineering, or Reliability Engineering roles.
- Strong expertise in CI/CD platforms including Jenkins, GitHub Actions, and Azure DevOps.
- Hands-on experience managing Kubernetes and containerized platforms.
- Strong experience across Azure, AWS, and/or GCP cloud environments.
- Proven Infrastructure as Code expertise, preferably Terraform.
- Strong scripting and automation skills using Python, Shell Scripting, or equivalent technologies.
- Experience developing operational automation and self-healing solutions.
- Strong understanding of networking, firewalls, load balancers, DNS, and cloud networking concepts.
- Proven experience supporting production-critical applications and data platforms.
- Strong experience driving critical incident management and service restoration activities.
- Strong understanding of ITIL Service Management processes.
- Experience handling SLA, SLO, Error Budgets, and Reliability Engineering metrics.
- Strong understanding of upstream/downstream data flows, dependencies, reconciliation, and data quality validation.
- Experience with SQL, Oracle, and enterprise database technologies.
- Excellent stakeholder management, communication, leadership, and problem-solving skills.
- Ability to perform effectively in highly complex and high-pressure production environments.
Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
Ideal Candidate Profile
We are specifically looking for a seasoned SRE/Platform Reliability Engineering Leader with strong Data Platform experience, deep understanding of ITIL and Major Incident Management, proven automation expertise, excellent stakeholder management skills, and the ability to drive critical production incidents from detection through resolution while ensuring platform reliability, operational excellence, and business continuity.
How we’ll support you
- Training and development to help you excel in your career
- Coaching and support from experts in your team
- A culture of continuous learning to aid progression
- A range of flexible benefits that you can tailor to suit your needs
About us and our teams
Please visit our company website for further information:
https://www.db.com/company/company.html
We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.