How often are new jobs added?

Every minute. We scan thousands of hiring sources in real-time so you see roles as soon as they go live, often hours before they appear on public job boards.Early access = higher odds of getting interviewed.

Why can I only view limited per day on the free plan?

Free access gives everyone a fair starting point. But seeing every job instantly creates an unfair advantage, so unlimited browsing is reserved for Pro users who want full access to fresh, hidden, and time-sensitive roles. Limiting free browsing also prevents automated scraping by competitors.

What sources do you pull jobs from?

We aggregate from: - company career pages - startup platforms - ATS systems (Greenhouse, Lever, Ashby, Workable, etc.) - niche regional job boards - hidden talent networks not indexed by Google Over 50,000 sources → one unified feed.

Are these jobs legitimate?

Yes. We automatically remove: - expired listings - spam - shady postings - duplicates - fake "ghost jobs" Every job you see is active, real, and verified at the source.

What’s the benefit of upgrading to Pro?

Pro gives you an information advantage. You unlock: - unlimited job browsing - real-time alerts for your saved filters - early access to newly discovered roles - deeper filtering (salary, remote, visa, experience, etc.) - access to hidden sources most job seekers never find Pro users consistently apply earlier and get significantly higher interview rates.

Can I filter by location, experience, remote, or salary?

Yes and Pro unlocks the power filters job boards don’t show you, including: - roles posted in the last 24 hours - company ATS only - startup-only sources - remote-flex categories - international roles by timezone

Why are early alerts so important?

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If the employer provides it, yes. If not, we attempt to estimate using salary bands from public and private datasets (Pro only).

Is DayOneJobs suitable for senior roles too?

Yes. We cover all roles, from internships to senior-level. Filters simply let you tailor your feed to your level.

JOB DETAILS

Sr Technical Consultant - Azure Cloud, DevOps, Sql & Site Reliability Engineering(SRE)

CompanyBlue Yonder

LocationHyderabad

Work ModeOn Site

PostedSeptember 2, 2026

About The Company

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. Blue Yonder is proud to be an Equal Opportunity Employer. We want you to bring your authentic self to work every day. We know that the best businesses are diverse and inclusive. Our unique talents make for great ideas, empathetic workplaces and drive results. We welcome all job applicants, so apply today. Please Be Advised: Any communications from a Blue Yonder representative related to an open position at Blue Yonder will come from an @blueyonder.com email address. We will not hire through text message, social media, or email alone, and any interviews will be conducted in-person or through a secure video call. We will not ask you for sensitive information nor will we ask you to pay anything during the hiring process. If you see suspicious activity or believe that you have been the victim of a job posting scam, you should report it to your local law enforcement authorities. To learn more about other potential job scams click here.

About the Role

Overview:

The BYX Platform provides shared cloud provisioning, compute, storage, observability and runtime capabilities for enterprise applications and implementation teams.
We are seeking an astute Cloud Platform with a strong technical foundation and hands-on experience in Microsoft Azure, Kubernetes, containers, observability, networking and production automation.

Our current technical environment:

Cloud and Compute: Microsoft Azure, Kubernetes, node pools, container workloads, Azure Container Registry, KEDA, Dask, autoscaling, CPU, memory and GPU capacity.
Observability: Logs, metrics and traces; collectors and exporters; Elastic/Elasticsearch, Logstash, Kibana, dashboards, alerts and correlation identifiers.
Data and Storage: MongoDB/Atlas, SQL, Redis, NFS, managed storage, replicas, regional capacity and service quotas.
Networking and Security: DNS, CIDR, private endpoints, firewall rules, allowlists, TLS/certificates, SPNs, API keys, tokens, image-pull credentials and Git-hosted secrets.
Operations and Automation: Linux, Git, CI/CD deployment workflows, infrastructure automation and scripting using Bash, Python or PowerShell.

What you’ll do:

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.

What we are looking for:

Minimum 5-10 years of relevant work experience in Azure cloud infrastructure, DevOps, site reliability engineering or platform operations.
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.

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Key Skills

Microsoft AzureKubernetesDevOpsSite Reliability EngineeringLinuxBashPythonPowerShellElastic StackMongoDBSQLRedisCI/CDInfrastructure as CodeNetworkingObservability