Alloy Prometheus Relabel Example Jobs in Usa

Position Summary

Our client is building a modern, cloud-native platform that powers connected, data-driven manufacturing operations. Their technology sits at the center of increasingly automated factories, integrating equipment, software systems, and real-time production data into a scalable SaaS platform used by global manufacturers.

To support rapid growth and platform scale, they are seeking a Senior Cloud Operations Engineer to own the reliability, performance, and operational excellence of their cloud infrastructure. This is a highly impactful role responsible for ensuring the platform remains highly available, secure, and scalable as adoption continues to grow.

This position is ideal for engineers who thrive in modern cloud environments, enjoy solving complex reliability challenges, and prefer automating everything possible. The right person will combine deep technical expertise with strong operational discipline, helping build a world-class cloud platform supporting real industrial environments.

Key Responsibilities

Cloud Operations & Reliability

• Maintain and optimize production, staging, and development environments running in Kubernetes on AWS

• Implement and manage monitoring, logging, alerting, and observability frameworks

• Lead incident response efforts and drive post-incident reviews focused on continuous improvement

• Own backup, disaster recovery, and business continuity processes

• Perform system capacity planning and performance tuning

Automation & Infrastructure Management

• Build and maintain Infrastructure-as-Code using tools such as Terraform or Pulumi

• Automate provisioning, configuration management, and environment lifecycle processes

• Identify and eliminate operational inefficiencies through automation

• Manage secrets, environment configuration, and version control across infrastructure environments

Security & Compliance

• Implement and maintain least-privilege access models and cloud security guardrails

• Support vulnerability management, patching workflows, and dependency maintenance

• Assist with compliance readiness efforts including SOC 2, ISO 27001, or similar frameworks

• Ensure proper logging, retention, and audit practices across cloud environments

FinOps / Cost Optimization

• Monitor and optimize cloud spend across services and environments

• Implement tagging standards, budget alerts, and cost visibility frameworks

• Recommend architectural improvements to balance performance and cost efficiency

Collaboration & Leadership

• Partner closely with engineering teams to improve reliability, deployment pipelines, and system architecture

• Mentor engineers on operational best practices and cloud platform management

• Develop runbooks, documentation, and operational standards

• Champion reliability engineering principles, operational maturity, and risk reduction practices

Technical Environment

Candidates should be comfortable working in modern cloud-native environments and familiar with:

• Kubernetes clusters, autoscaling, Helm charts, and service mesh concepts

• AWS cloud services including compute, networking, storage, and cost management

• Infrastructure-as-Code frameworks such as Terraform

• Observability platforms such as Datadog, CloudWatch, Prometheus, or New Relic

• CI/CD tools such as GitHub Actions, Bitbucket Pipelines, or Bamboo

• Linux systems administration and troubleshooting

• SRE practices including SLIs, SLOs, MTTR, RTO/RPO, and incident management

Must have

Teradata platform expertise

• Deep knowledge of Teradata architecture: parsing, BYNET, AMP, vproc, fallback, hashing, PDCR, fallback, and spool management.

• Data distribution and primary index design; collecting statistics and understanding optimizer behavior.

• Experience with recent Teradata versions and releases migration/upgrade planning: TD 16.XX, TD 17.XX and preferably TD 20.XX.

System administration

• Provisioning and managing Teradata nodes and clusters (physical and virtual).

• OS-level skills: Linux administration (SLES/RHEL/CentOS/Oracle Linux) for Teradata on Linux, including kernel tuning, package management, user and permissions management.

• Storage subsystem knowledge: SAN, NAS, Fibre Channel, LUNs, RAID, and how storage impacts Teradata I/O and spool.

Performance tuning and troubleshooting

• SQL query and plan analysis; collecting and interpreting Explain plans.

• Workload management (WLM) and resource allocation: query prioritization, throttling, and KRI/SLAs.

• Monitoring and diagnostics: using Teradata tools and logs to analyze spool, CPU, memory, disk I/O, network, BYNET contention.

Backup, recovery & high availability

• Best practices for backups restore procedures, and disaster recovery (DR) planning and testing.

• Knowledge of fallback, AMP resilience, replication methods and physical vs logical protection.

Security & compliance

• DB and platform-level security: roles, privileges, LDAP/Kerberos integration, encryption (at rest/in transit), auditing and compliance (SOx and Others as applicable).

• Secure configuration and hardening practices.

Networking & infrastructure

• Network architecture for Teradata clusters, VLANs, link aggregation, low-latency requirements, and BYNET tuning.

• Integration with enterprise infrastructure: DNS, NTP, monitoring stacks, and identity providers.

Automation, scripting & tools

• Scripting languages: Bash, Python, Perl for automation, maintenance, and custom monitoring. – one of them

• Configuration management and automation tools: Ansible, Terraform, Chef, or Puppet (as used in the enterprise). – one of them

• Familiarity with Teradata utilities and tools: BTEQ, FastLoad, MultiLoad, TPT (Teradata Parallel Transporter), DBSControl, Viewpoint, Teradata Studio/SQL Assistant. – one of them

Observability & tooling

• Use of monitoring/alerting tools (Viewpoint, Prometheus, Grafana, Splunk, Nagios, etc.) and designing dashboards and alerts. One of them, View point is mandatory

• Capacity planning, trending, and forecasting for CPU, disk, spool, and concurrency.

Soft skills & organizational capabilities

• Incident management and on-call experience

• Leading postmortems, RCA (root-cause analysis), implementing corrective actions.

• Communication and stakeholder management: vendors, management and applications

• Translate technical impacts to business stakeholders; coordinate with DBAs, developers, network/storage teams, and vendors.

Role and Responsibilities

Installs, configures and upgrades Teradata software and related products.

• Backup, restore, migrate Teradata data and objects

• Establish and maintain backup and recovery policies and procedures.

• Manages and monitor system performance. proactively monitor the database systems to ensure secure services with minimum downtime

• Implements and maintains database security.

• Sets up and maintains documentation and standards.

• Supports multiple Teradata Systems including independent marts/ enterprise warehouse.

• Work with the team to ensure that the associated hardware resources allocated to the databases and to ensure high availability and optimum performance.

• Responsible for improvement and maintenance of the databases to include rollout and upgrades.

• Responsible for implementation and release of database changes as submitted by the development team, Working with end customer

• Teradata, customer, datacenter, vendor co-ordinations

• Forecast data, security audits

• User account and access management

• Teradata active system management and customer requests and system allocation

• Backup and recovery

• SOX compliance and audits

• DB support from 3rd party vendors

• Product evaluations

• On call support and major incidents

• Backup restore, frequency and retention

• Disaster recovery

• Create long r

Job Title: ML Engineer

Location: Richardson, TX

Duration: Full Time

Seeking a ML Engineer with expertise in Computer Vision, Edge AI deployment, GCP cloud services, and retail domain workflows. Candidate will be responsible for designing scalable ML pipelines, optimizing CV models for edge devices, and operationalizing AI solutions in production environments using MLOPS framework for Model Management. Candidate will work with clients to understand the issues they face, diagnose problems, design solutions and facilitate solution deployment on GCP cloud.

Required Qualifications:

• Candidate must be located within commuting distance of Richardson, TX or be willing to relocate to the area. This position may require travel in the US
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
• At least 4 years of experience in Information Technology
• Strong hands-on experience with MLOps, model deployment, CI/CD, and monitoring.
• Proficiency in Computer Vision frameworks: OpenCV, TensorFlow, PyTorch, ONNX, YOLO, etc
• Experience deploying AI models on edge devices, Deepstream, Nvidia Services
• Advanced Python development skills with experience in designing scalable ml systems, automations, sdk, multiprocessing etc
• Hands-on with containerization, model optimization, and hardware acceleration
• Solid understanding of data pipelines, feature stores, and ML model lifecycle
• Implementation of MLOps tools like Grafana, Prometheus, Poetry, Snyk and others

Preferred Qualifications:

• Experience with GCP cloud services and Kubernetes
• Experienced in Agile way of working, manage team effort and track through JIRA
• Certifications in GCP, MLOps and Computer vision Technology
• High Impact client communication
• Domain experience with Retail Clients
• Strong problem-solving skills and ability to evaluate multiple solution paths
• Excellent communication and stakeholder management skills

Job Title: RedHat OpenShift & Kubernetes SME

Location: Princeton - NJ - 08540

Mode : Contract (6+ Months) – Onsite

Min 15 Years of experience required.

Qualifications:

Design, deploy and maintain Red Hat OpenShift and Rancher Managed Kubernetes Clusters

Architect Highly available, scalable, and secure container platforms

Install, configure, upgrade and patch OpenShift and Rancher Clusters

Implement logging, monitoring, and alerting (Prometheus, Grafana, EFK etc.)

Troubleshoot Cluster, Networking, Storage, and application issues

Perform root cause analysis and provide performance optimization

Act as an SME for OpenShift and Rancher Technologies

Provide guidance to Customer and application teams

Create documentation, standards, and operational runbooks

Strong Hands-on experience with RedHat Open Shift and Rancher (RKE, RKE2)

Expert knowledge of Kubernetes architecture and Operations

Experience supporting mixed OS environments (Windows and Linux).

Excellent communication skills, able to explain complex concepts to technical and non-technical audiences.

Demonstrated ability to work independently and as part of a team.

Relevant certifications (RHCA, CKA, CKAD, etc.) and active participation in the Kubernetes community are a plus.

Experience with CI/CD Pipelines

Job Title : Senior Site Reliability Engineer

Location : Charlotte, NC/ Columbus, OH – Hybrid (3 days onsite a week)

Duration : Contract role (W2)

In-person Interview required in NJ or NC on 21st Saturday March

Job Description:

Tech Stack: Java/J2EE (Spring, Spring Boot, Python, Shell Scripting, Kafka, Oracle, MongoDB etc.).

• 10+ years of Software Engineering experience
• 5+ years of experience in Site Reliability Engineering teams with continued focus on improving Platform health
• Familiar with Agile or other rapid application development practices
• Hands-on expertise in building dashboards using APM tools.
• Experience with distributed (multi-tiered) systems, algorithms, relational databases, and NoSQL databases.
• Knowledge & Exposure caching tools (Redis, memcache) or messaging tools such as MQ, Kafka.
• Must have working knowledge of APM tools such as splunk, GCL, ELK, Grafana, Prometheus etc.
• Able to create Dashboards using GCL/Splunk/ELK and setup alerts.
• Working knowledge of CICD is a plus – Source control like Git, Continuous Integration – Jenkins / UCD Release etc. .
• Ability to work with Engineering teams across the ecosystem such as Security, Networking & Infrastructure challenges which can impact platform health & resiliency.
• Shell Scripting / DevOps tools like Ansible with good knowledge of yaml file to write playbooks .
• Experience with distributed storage technologies like NFS as well as dynamic resource management frameworks PCF, Kubernetes / OpenShift, AWS or Azure.
• A proactive approach to spotting problems, areas for improvement, and performance bottlenecks