Lorex Cloud Storage Plans Jobs in Usa

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Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

The Data Platform Pillar is the bedrock of Cloudera's technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance.

Cloudera is looking for a strong engineering leader with a distributed systems background to lead a team within the Storage Engineering group, focused on building Apache Ozone and Apache HDFS. The Storage team is responsible for primary storage and storage access layers, which are core to the Cloudera Data Platform.

Apache Ozone is an open source, massively scalable, distributed object store with a distributed file system interface. Ozone is designed to scale to tens of billions of files and blocks, and overcome the limitations of Hadoop Distributed File System (HDFS), namely, millions of small files and managing a huge number of data nodes.

Ozone is one of the fastest-growing products inside CDP in terms of customer adoption and expansion revenue. This is an opportunity to lead a team that created and wrote most of the Ozone code and make a huge impact on the big data storage industry.

**This is an onsite role for our HQ in Santa Clara, CA**

As a Sr. Manager, Engineering you will:

• Manage and lead a team of talented engineers and senior individual contributors based in North America.

• Develop and execute on a technical roadmap and strategy for your team, aligning with the department's vision and the company's business goals.

• Lead and mentor a team of software engineers, including senior and principal-level contributors, fostering a culture of technical excellence and innovation.

• Partner with Engineering leaders, product managers, and partner teams to understand requirements, develop solid designs and implementations, and facilitate integration and adoption.

• Drive and enforce best practices for the software development lifecycle, including coding standards, testing, deployment, system scalability, reliability, and security, tracking key performance indicators for engineering quality and efficiency.

• Communicate team progress, successes, challenges, and strategic plans clearly and transparently to engineering leadership and other business stakeholders.

• Oversee team resources, staffing, mentoring, and enhancing a best-of-class engineering team.

• Work closely with customers in various geographies and partner teams (like PS and support) to ensure successful adoption of Ozone and provide technical guidance for enterprise customers running 100s of petabytes-scale big data analytics and ML/AI pipelines.

• Guide the team in contributing to the Apache open-source community.

We are excited if you have (Required Qualifications):

• Experience: 8+ years of experience in software engineering, with 2+ years in an engineering management role.

• Domain Expertise: Demonstrable experience with the design, implementation, and operation of large-scale distributed systems, particularly in storage, file systems, databases, or cloud infrastructure.

• Technical Depth: Strong understanding of fundamental storage concepts (e.g., consistency, replication, erasure coding, caching).

• Management Skills: Proven track record of leading and managing high-performing engineering teams, demonstrating excellent communication and organizational skills.

• Communication: Excellent written and verbal communication skills. If you can point to publicly available papers, technical articles or blog posts that is a huge plus.

• Education: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field.

You may also have:

• Prior experience contributing to or leading large-scale open-source projects.

• Familiarity with the Apache Hadoop big data ecosystem (HDFS, YARN, Hive, Impala, Spark) or related distributed data frameworks.

• Experience with specific commercial or open-source distributed storage technologies (e.g., Ceph, Gluster, ZFS, S3-compatible systems).

• Experience managing remote or hybrid engineers.

Why this role matters:

You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps it running at massive scale. Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling.

Collaboration is key, you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. This is your chance to build the future of data and see your work make a global impact.

This role is not eligible for immigrationsponsorship.

The expected base salary range for this role in

• California is $203,000 - $254,000

The salary will vary depending on your job-related skills, experience and location

What you can expect from us:

• Generous PTO Policy

• Support work life balance with Unplugged Days

• Flexible WFH Policy

• Mental & Physical Wellness programs

• Phone and Internet Reimbursement program

• Access to Continued Career Development

• Comprehensive Benefits and Competitive Packages

• Paid Volunteer Time

• Employee Resource Groups

EEO/VEVRAA

#LI-SZ1

#LI-REMOTE

Jabil is a product solutions company providing comprehensive design, manufacturing, supply chain and product management services. Operating from over 100 facilities in 29 countries, Jabil delivers innovative, integrated, and tailored solutions to customers across a broad range of industries and end-markets, such as automotive, consumer lifestyle and wearable tech, defense and aerospace, connected home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging and printing.

How will you make an impact?

• Jabil is seeking a Software Test Development Engineer who will directly contribute to the transformative growth within our Global cloud Test Development (GCTD) team in the Cloud Enterprise and Intelligent Infrastructure (CE&I) division by applying unique and innovative approaches to solving problems within a large-scale software production environment.

• As the Software Test Development Engineer plays a vital role in ensuring the quality and reliability of hardware products, contributing to the overall success of the manufacturing process and customer satisfaction.

• You will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. 

• You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil’s world-class manufacturing environments.

What will you do?

Test System Development:

• Design and develop test systems and procedures for manufacturing processes. This includes creating test plans, test cases, and test scripts to assess the functionality and performance of hardware components or devices such as:

  • Motherboard,

  • Memory,

  • CPU,

  • Storage (SSD, HDD, NVMe) and

  • PCIE devices (NIC, GPU, Mezz cards, RAID cards)

Software Development Test:

• Create, validate, release, and maintain test software and scripts that automate the testing process.

• This software may include code for controlling test equipment, collecting and analyzing data, and generating test reports.

Sustaining Test:

• Support and maintenance for the manufacturing server (L10) and rack (L11) level test software and infrastructure deployed at our production facilities, including the implementation of minor system configuration changes (new IPNs).

Test Infrastructure Expansions:

• Support the site’s manufacturing server (L10) and rack (L11) current test infrastructure as well as future expansions planning, deployments, and assembly.

Debugging and Troubleshooting:

• Diagnose and resolve issues with test software, or hardware components (servers, switches, racks, L10, L12) that may arise during the manufacturing process.

Documentation:

• Maintain comprehensive manufacturing server (L10) and rack (L11) documentation of test procedures, specifications, and Infrastructure.

Collaboration:

• Work closely with cross-functional teams, including hardware engineers, manufacturing engineers, and quality assurance personnel, to ensure alignment of testing requirements and quality standards.

Continuous Learning:

• Stay updated on the latest advancements in testing technologies, methodologies, and industry best practices to keep manufacturing processes competitive and up to date.

• Definition and collaboration on overall test infrastructure and application architectures.

Management & Supervisory Responsibilities

• Reports to Management

Education:

• BS degree in Electrical/Computer Engineering, Computer Science or related field. MS preferred

Experience:

• 5 years’ experience in software manufacturing test development/sustaining with enterprise servers, storage or networking products.

• Experience in the following programming/scripting languages:

  • Python,

  • Java,

  • BASH,

  • C, C++, experience a plus

• Linux development experience with a solid understanding of its fundamentals:

  • CentOS

  • Ubuntu

• Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe):

  • IPMI,

  • Redfish,

  • mprime,

  • FIO,

  • Linpack,

  • ptugen,

  • memtester

• Familiarity in the creation and configuration (DHCP, PXE boot, nginx) of Virtual Machines (VMs) using VMWare.

• Expertise with leading edge networking systems, hardware, software and protocols including but not limited to enterprise ethernet datacenter switching/routing L1, L2, and L3 (BGP, DHCP Relay, ECMP)

• Arista CloudVision is a plus.

• Experience with code versioning tools (Git preferred).

• Knowledge of professional software engineering practices for the complete software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.

• Excellent verbal and written communication skills.

• Experience working in multi-site and multi-cultural environments.

What Can Jabil Offer You?

Along with growth, stability, and the opportunity to be challenged, Jabil offers a competitive benefits package that includes:

• Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options

• 401K Match

• Employee Stock Purchase Plan

• Paid Time Off

• Tuition Reimbursement

• Life, AD&D, and Disability Insurance

• Commuter Benefits

• Employee Assistance Program

• Pet Insurance

• Adoption Assistance

• Annual Merit Increases

• Community Volunteer Opportunities

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