Blue Yonder
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Bengaluru · On-site · 5-8 Yrs · 17 hours ago
Enterprise Software & Network Solutions · 5001 to 10000 Employees · Scottsdale, US
Blue Yonder is the AI company for supply chain. As the world leader in end-to-end digital supply chain transformation, Blue Yonder offers a unified, AI-driven platform and multi-tier network that empowers businesses to operate sustainably, scale profitably, and delight their customers—all at machine speed. A pioneer in applying AI solutions to the most complicated supply chain challenges, Blue Yonder’s modern innovations and unmatched industry expertise help more than 3,000 retailers, manufacturers, and logistics service providers confidently navigate supply chain complexity and disruption. blueyonder.com
Hiring: Engineering
What employees say
+ Work life balance is good
− Performance reviews and hike not good
More reviews on the company profile.
Interview experience · Data Scientist
Overall it was a good exposure and question where from python, sql, data science and coding rounds as well. there were total 4 rounds out of which 2 were technical and one was managerial round and last round was HR roun
Average difficulty · Bangalore Rural · 286 reports
More interview insightsJob description
Overview
Overview: • The BYX Platform provides shared cloud provisioning, compute, storage, observability and runtime capabilities for enterprise applications and implementation teams.
Responsibilities
- Review and act on incidents, service requests, infrastructure requests and provisioning failures logged by implementation teams and platform users.
- Own L2/L3 cloud-platform issues from initial triage through recovery, validation, communication, root-cause analysis and closure.
- Troubleshoot Kubernetes pods, deployments, replicas, services, events, health checks, node pools, scheduling and resource constraints.
- Diagnose container image-pull, startup, shutdown, registry-authentication, rollout and workload-reconciliation failures.
- Investigate CPU, memory, GPU, quota, region, placement and capacity issues affecting platform workloads.
- Troubleshoot workload and event-driven autoscaling using Kubernetes metrics and technologies such as KEDA.
- Support Azure resource provisioning, provider operations, resource lifecycle workflows and reconciliation between desired and actual state.
- Diagnose ACR, private endpoint, firewall, allowlist, CIDR, DNS, TLS and runtime-connectivity problems.
- Trace logs, metrics and distributed telemetry from the workload through collectors, exporters and observability ingestion pipelines.
- Support Elastic/Logstash/Kibana ingestion, index mappings, access, dashboards, alerts and environment filters.
- Investigate operational issues involving MongoDB/Atlas, SQL, Redis, NFS and related managed data or storage services.
- Support certificates, service principals, API keys, image-pull credentials and infrastructure credential rotation.
- Support regional releases, environment configuration, disaster-recovery workflows and post-deployment validation.
- Develop automation to improve platform reliability, reduce manual provisioning and shorten incident recovery time.
- Maintain runbooks, dashboards, alerts, known-error records and diagnostic procedures for use by platform support teams.
- Participate in capacity planning, incident reviews, change reviews, release readiness and an agreed production on-call rotation.
- Minimum 5-10 years of relevant
Qualifications
- This role includes Rotational Shifts(Night shifts of 2 months in Year)
- Hands-on production experience with Microsoft Azure services and operational troubleshooting
- Strong Kubernetes troubleshooting skills covering workloads, events, services, networking, scheduling, scaling and resource management.
- Experience with a container registry Azure Container Registry experience is highly relevant.
- Practical observability experience across logs, metrics, traces, dashboards and alerts.
- Experience with Elastic Stack components-Elasticsearch, Logstash and Kibana-or a closely comparable platform.
- Working knowledge of DNS, TLS/certificates, CIDR, firewalls, proxies, load balancing and private networking.
- Strong Linux administration, application log analysis and production incident-troubleshooting skills.
- Scripting experience with Bash, Python or PowerShell for diagnostics and operational automation.
- Experience troubleshooting CI/CD deployments, configuration changes and failed rollouts.
- Working knowledge of Git, service identities and secrets-management fundamentals.
- Working knowledge of MongoDB/Atlas, Redis, SQL or NFS operations is preferred.
- Experience with infrastructure as code such as Terraform, Bicep or ARM templates and Kubernetes packaging such as Helm is preferred.
- Experience with incident response, Root Cause Analysis, post-incident reviews and controlled production changes.
- Strong collaboration and communication skills with the ability to work across application, security, networking and vendor teams.
- Willingness to participate in a scheduled production on-call rotation and planned out-of-hours changes when required.
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Job application FAQ
Last updated 11 October 2026
- How do I apply for Sr Technical Consultant - Azure Cloud, DevOps, Sql & Site Reliability Engineering(SRE) at Blue Yonder?
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- Is Sr Technical Consultant - Azure Cloud, DevOps, Sql & Site Reliability Engineering(SRE) remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Sr Technical Consultant - Azure Cloud, DevOps, Sql & Site Reliability Engineering(SRE) role at Blue Yonder?
- This is a senior Sr Technical Consultant - Azure Cloud, DevOps, Sql & Site Reliability Engineering(SRE) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.