Technology Operations Specialist, VP

Overview

Provide hands-on production support, troubleshooting and operational ownership for applications hosted on Google Cloud Platform, with strong emphasis on GKE, containerised workloads and PostgreSQL-backed services, within the Production Support Services team of the TST domain (SES, TAS and Trade Finance Lending) in Corporate Bank Production Services.

What you'll do

• Provide hands-on technical and functional production support for applications deployed on GCP and integrated enterprise platforms within the TST domain.
• Lead technical and functional troubleshooting for production incidents, user requests and platform issues across GCP-hosted applications, including GKE, Cloud Run, Compute Engine, Cloud Storage, IAM, networking, PostgreSQL/Postgres databases and database connectivity.
• Drive end-to-end incident recovery for P3H and above incidents by analysing logs, metrics, traces, deployment history, configuration changes, infrastructure events and application behaviour.
• Use GCP observability tools such as Cloud Logging, Cloud Monitoring, Error Reporting, dashboards, uptime checks and alert policies to identify root cause, reduce mean time to detect and improve service reliability.
• Partner with application, infrastructure, SRE, security and engineering teams to troubleshoot cloud networking, container runtime, IAM, quota, performance, scaling and availability issues.
• Troubleshoot complex production issues across cloud runtime, containers, application services, middleware, databases, network connectivity, IAM permissions, certificates, secrets and deployment pipelines.
• Support containerised workloads on GKE and Cloud Run, including pod/container restarts, scaling behaviour, node pressure, cluster events, health checks, readiness/liveness failures, resource saturation, ingress/service issues and deployment rollbacks.
• Troubleshoot PostgreSQL/Postgres production issues, including connection failures, query performance, locks, replication or failover symptoms, storage growth, backup/restore readiness and application-to-database connectivity.
• Drive automation, toil reduction, platform hygiene, monitoring improvements and operational controls for cloud-native applications and supporting infrastructure.
• Prepare and distribute clear incident communications, technical updates, recovery timelines and service restoration summaries for senior stakeholders.
• Participate in CAB, change validation and post-change support activities to assess operational risk, ensure rollback readiness and support safer change delivery.
• Collaborate with Global Incident Management, L2/L3 support, SRE and platform teams to orchestrate recovery of major incidents and implement preventive actions.
• Build technical and functional subject matter expertise across supported applications, business flows, cloud architecture, service dependencies and infrastructure configuration.
• Identify proactive opportunities for automation, self-healing, alert rationalisation, toil reduction and improved operational resilience.
• Drive service requests and incidents to resolution within L2 scope, ensuring timely escalation to L3, SRE, infrastructure or vendor teams where deeper engineering intervention is required.
• Review monitoring coverage for critical services, SLIs, SLOs, error budgets, availability, latency, throughput, saturation and business-critical transaction flows.
• Maintain and continuously improve runbooks, KEDB articles, support procedures, troubleshooting guides and operational readiness documentation.
• Participate in BCP, DR, EDR, SSRTO and component failure tests for cloud and application services, validating recovery procedures and operational readiness.
• Understand data flow, request flow and service dependencies across cloud infrastructure to provide effective operational support during incidents and changes.
• Own managed risk, operational controls, production hygiene and continuous improvement initiatives for supported services.
• Mentor and coach global support team members on GCP troubleshooting, incident handling, observability and production support best practices.
• Apply an SRE mindset with practical understanding of SLIs, SLOs, error budgets, incident learning and reliability improvement.

What you'll need

• 12+ years of IT experience in large corporate environments, with strong exposure to controlled production support environments, preferably within Financial Services Technology.
• Strong hands-on experience supporting and troubleshooting production workloads on Google Cloud Platform, with deeper focus on GKE, Cloud Run, Compute Engine, Cloud Storage, Cloud SQL/PostgreSQL, IAM, VPC networking, load balancers and service accounts.
• Proven ability to investigate incidents using Cloud Logging, Cloud Monitoring, Error Reporting, dashboards, alerts, log-based metrics and application traces.
• Strong troubleshooting skills across application, infrastructure and platform layers, including container failures, scaling issues, latency, memory/CPU saturation, network connectivity, DNS, certificates, secrets, IAM permissions and deployment failures.
• Strong hands-on experience with Kubernetes concepts and GKE operations, including pods, deployments, services, ingress, node pools, namespaces, autoscaling, config maps, secrets, health checks, cluster events, workloads, logs and kubectl-based diagnostics.
• Working knowledge of cloud-native application architecture, microservices, REST APIs, service-to-service communication, event-driven flows and enterprise integration patterns.
• Strong understanding of UNIX/Linux operating systems, shell commands, process analysis, file systems, logs, network utilities and infrastructure troubleshooting.
• Working knowledge of scripting and automation using UNIX shell, Python, PowerShell, Perl or similar tools for diagnostics, reporting, remediation and toil reduction.
• Understanding of middleware and messaging platforms such as MQ, Kafka or similar, including operational troubleshooting of connectivity, message flow and performance issues.
• Understanding of web and application server environments such as Apache, Tomcat, WebLogic or equivalent cloud-hosted runtimes.
• Strong understanding of relational databases, especially PostgreSQL/Postgres and Cloud SQL for PostgreSQL, including connectivity, query performance, locks, indexing concepts, backup/restore, storage growth, availability and operational troubleshooting.
• Experience with enterprise monitoring tools such as Geneos, AppDynamics, New Relic, Dynatrace, Grafana or equivalent, alongside GCP observability tools.
• Strong understanding of ITIL Service Management practices, including Incident, Problem, Change, Request and Major Incident Management.
• Flexibility to support incident callouts after office hours and during weekends, including participation in rotational weekend cover.

Nice to have

• Experience in securities services, asset management or trade finance domains.
• Good analytical and problem-solving skills.
• Excellent communication skills, both written and verbal, with attention to detail.
• Ability to work in virtual teams and in matrix structures.
• Team management and program management skills.
• ITIL foundation.
• Ticketing tool experience, such as Service Desk or ServiceNow.
• Understanding of SRE concepts (SLA, SLOs, SLIs).
• Knowledge and development experience in Ansible automation.
• Working knowledge of one cloud platform (AWS or GCP).
• 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.

Details

• Location: Pune, India.
• Corporate Title: VP.
• Flexibility to support incident callouts after office hours and during weekends, including rotational weekend cover.