platform engineering manager

Lean Technologies

<div>
 
 Lean is expanding our footprint by opening an office in Egypt this summer, and the Engineering Manager, DevOps role is one of our first engineering leadership hires in market.
 
 
 
 
 
 We're a Series B fintech (backed by General Catalyst and Sequoia), and over the last few years we've grown from a category-defining open banking company into a multi-rail financial infrastructure platform powering payments, data, and lending across MENA.
 
 
 
 
 
 Cairo is a long-term investment in a market we deeply believe in, and the people who join now will shape what Lean looks like there for years to come. You'll work alongside a team representing 30+ nationalities, with experience from some of the world's leading fintechs and technology companies. The work is ambitious, the standards are high, and ownership is real.
 
 
 
 
 
 If you're excited about building high-performing teams and world-class infrastructure from the ground up, this is the right moment to join.
 
 
 
 
 
 
 About Lean
 
 
 
 Lean is the leading financial infrastructure provider in the Middle East. We power some of the region's largest companies with APIs that enable payments, account verification, financial data access, and other critical financial infrastructure.
 
 
 What started as the region's pioneering Open Banking platform quickly became the market leader in account aggregation and payment initiation. Today, Lean is evolving into a multi-product infrastructure company powering payments, data, and lending across MENA.
 
 
 We've processed billions of dollars in transactions, serve more than 350 customers&mdash;including Binance, Careem, and e&amp;&mdash;and are backed by General Catalyst, Sequoia, and Shorooq. Following our $67.5M Series B, we're expanding into new markets, opening new offices, acquiring businesses, and building financial infrastructure that has never existed in the region before.
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 We're looking for an Engineering Manager to lead our DevOps and Platform Engineering function You'll be responsible for building and growing a high-performing team that owns the infrastructure, developer platform, cloud architecture, and operational excellence behind Lean's products.
 
 
 This is a hands-on leadership role where you'll combine technical depth with people leadership, partnering closely with Engineering, Security, Product, and Compliance teams to build a scalable, secure, and reliable platform capable of supporting the next stage of Lean's growth.
 
 
 
 
 
 
 What You'll Do
 
 
 
 
 
 <ul>
 <li>
 Build, mentor, and lead a high-performing DevOps and Platform Engineering team in Cairo.
 </li>
 <li>
 Define and execute the platform engineering roadmap, balancing developer productivity, reliability, security, and cost efficiency.
 </li>
 <li>
 Own Lean's cloud infrastructure across AWS, Kubernetes, Terraform, CI/CD, observability, and production operations.
 </li>
 <li>
 Drive reliability through SRE best practices, incident management, postmortems, and continuous improvement.
 </li>
 <li>
 Champion Infrastructure as Code, automation, and self-service developer tooling.
 </li>
 <li>
 Improve deployment velocity while maintaining security and operational excellence.
 </li>
 <li>
 Partner with Security and Compliance teams to meet regulatory and audit requirements across multiple markets.
 </li>
 <li>
 Collaborate with engineering leaders to improve software delivery, platform adoption, and engineering productivity.
 </li>
 <li>
 Establish operational metrics, SLOs, and KPIs that measure platform health and engineering effectiveness.
 </li>
 <li>
 Help shape Lean's engineering culture by hiring exceptional talent and raising the bar across the organization.
 </li>
 </ul>
 
 
 
 
 
 What You'll Bring
 
 
 
 
 
 <ul>
 <li>
 8+ years of experience in Infrastructure, DevOps, SRE, or Platform Engineering, with at least 3 years leading engineering teams.
 </li>
 <li>
 Strong technical expertise in AWS, Kubernetes, Docker, Terraform, networking, and cloud-native architectures.
 </li>
 <li>
 Experience designing and operating highly available, distributed production systems at scale.
 </li>
 <li>
 Deep knowledge of CI/CD pipelines, GitOps, Infrastructure as Code, and modern deployment strategies.
 </li>
 <li>
 Experience with observability platforms, monitoring, logging, and incident response.
 </li>
 <li>
 Strong understanding of security best practices and cloud infrastructure governance.
 </li>
 <li>
 Proven ability to hire, mentor, and grow high-performing engineering teams.
 </li>
 <li>
 Excellent stakeholder management and communication skills, with the ability to influence technical strategy across multiple teams.
 </li>
 <li>
 Experience in fintech, payments, regulated environments, or high-growth startups is highly desirable.
 </li>
 </ul>
 
 
 
 
 
 NB. While we think the above experience could be important, we&rsquo;re keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply!!
 
 
 
 
 
 
 
 Why Join us?
 
 
 
 We&rsquo;re building the financial infrastructure for MENA. Not as a slogan, as a fact.
 
 
 Since 2019, we&rsquo;ve become the first regulated Open Banking and Open Finance company operating across the UAE and Saudi Arabia. We&rsquo;ve processed billions of dollars. We connect millions of accounts. We enable companies like Binance, Careem, and Etisalat to build products that were previously impossible in this region.
 
 
 Our recent $67.5M Series B from General Catalyst and Sequoia isn&rsquo;t just validation: it&rsquo;s fuel. We&rsquo;re expanding into new markets, launching new products, and setting the pace for what financial innovation looks like in MENA.
 
 
 We solve hard problems. We move fast. We hold ourselves to a high standard. And we&rsquo;re looking for people who&rsquo;ve done this before to help us do it right.
 
 
 If you&rsquo;re motivated by building something that lasts, not just something that scales, Lean is where you need to be.
 
 
 
 
 
 Not only do we offer competitive salaries, private healthcare, and flexible office hours, but we also insist that every member of the team hold a meaningful equity stake in the business to ensure long-term alignment. We'd love you to join us for this journey!
 
 
 
 
 
 
 Lean is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
 
 
 
 
 
 
 
 When applying for a job at Lean Technologies, we will need to collect, use and share Personal Data about you with different members of our team during the application process. This may mean transferring your data to members of the team in one of our office locations worldwide outside of the country you are in. Please refer to our Privacy Notice on our website for more information about how we may use and store your Personal Data
 
 
 
 
 
</div>

DevOps Engineering Manager

Cisco

The application window is expected to close on: 08/28/2026Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
 
This position is a hybrid role, requiring the employee to work both onsite and remotely. Candidates should be comfortable with a flexible work arrangement that balances in-office collaboration and remote work. Specific onsite days and remote days will be coordinated with the team and manager.
 
Meet the Team
 The Indexing Platform organization is a core part of Splunk's Indexing& Storage engineering group, responsible for building and operating the foundational services that power data ingestion, processing, indexing, and storage across Splunk Cloud. This role will lead the Noah Client team, which owns key client-side platform capabilities, while driving strategic initiatives across larger organization. Our mission is to build highly reliable, scalable, cloud-native infrastructure that supports petabytes of customer data across multi-cloud environment.
 
As an Engineering Manager, you'll lead a talented team of engineers and partner closely with architects and cross-functional teams to deliver the next generation of Splunk's indexing platform.
 
Your Impact
 
<ul>
<li>Lead, coach, and develop a team of software engineers, fostering an inclusive, high-performing engineering culture!</li>
<li>Drive execution of strategic initiatives across Indexing Platform priorities.</li>
<li>Partner with architects and TPMs to translate technical strategy into execution plans and deliver complex, multi-quarter initiatives.</li>
<li>Establish priorities, remove execution blockers, and balance feature delivery with platform investments, technical debt, and operational excellence.</li>
<li>Recruit, mentor, and retain engineering talent while supporting career growth and technical development.</li>
<li>Partner with technical leaders on architecture reviews, system design, and engineering planning for large-scale distributed systems.</li>
<li>Guide engineering decisions to ensure solutions are scalable, reliable, maintainable, and operationally efficient.</li>
<li>Drive engineering excellence through design reviews, code quality, testing, CI/CD, observability, and production readiness.</li>
<li>Lead operational excellence through incident response, post-incident reviews, and continuous reliability improvements.</li>
<li>Collaborate closely with Infrastructure, Data Management, Search, Operation, Product, and customer-facing teams to deliver cross-functional platform initiatives.</li>
</ul>
Minimum Qualifications: 
<ul>
<li>Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.</li>
<li>8+ years of software engineering experience building distributed systems, including previous engineering management experience.</li>
<li>Demonstrated success leading software engineering teams delivering complex infrastructure or platform services.</li>
<li>Strong understanding of distributed systems, cloud-native architectures, and modern software engineering practices.</li>
<li>Proven ability to drive execution across multiple concurrent initiatives while partnering with senior technical leaders and cross-functional stakeholders.</li>
</ul>
Preferred Qualifications: 
<ul>
<li>Experience leading backend infrastructure, platform, or distributed systems engineering teams.</li>
<li>Experience partnering with Principal or Staff Engineers to execute long-term technical roadmaps.</li>
<li>Strong technical background in distributed systems, cloud infrastructure, and backend services.</li>
<li>Experience with Golang, C++, Java, or Python.</li>
<li>Experience with AWS, Azure, and/or Google Cloud Platform.</li>
<li>Familiarity with Kubernetes, Terraform, PostgreSQL, CI/CD, observability, and infrastructure automation.</li>
<li>Experience operating highly available production services and driving operational excellence.</li>
<li>Excellent communication, collaboration, stakeholder management, and coaching skills.</li>
<li>Passion for building high-performing teams and developing engineers.</li>
</ul>
Why Cisco?
 
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 We are Cisco, and our power starts with you.
 
Message to applicants applying to work in the U.S. and/or Canada:
 
The starting salary range posted for this position is $163,600.00 to $234,600.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
 Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
 
U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
 
U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:
 
<ul>
<li>10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees</li>
<li>1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco</li>
<li>Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees</li>
<li>Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)</li>
<li>80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next</li>
<li>Additional paid time away may be requested to deal with critical or emergency issues for family members</li>
<li>Optional 10 paid days per full calendar year to volunteer</li>
</ul>
For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.
 
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:
 
<ul>
<li>.75% of incentive target for each 1% of revenue attainment up to 50% of quota;</li>
<li>1.5% of incentive target for each 1% of attainment between 50% and 75%;</li>
<li>1% of incentive target for each 1% of attainment between 75% and 100%; and</li>
<li>Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.</li>
</ul>
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
 
The applicable full salary ranges for this position, by specific state, are listed below:
 
New York City Metro Area: 
$183,800.00 - $303,100.00
 
Non-Metro New York state& Washington state: 
$163,600.00 - $269,800.00
 <ul>
<li>For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.</li>
</ul>
** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Leader, Software Engineering (Hybrid)

BAE Systems USA

<div>Job Description
 
BAE Systems is seeking an IT Service Owner &ndash; Data &amp; AI Platforms responsible for the strategy, architecture, reliability, security, and full lifecycle management of the enterprise data and AI platform ecosystem. This role serves as the authoritative owner of the technology stack enabling ingestion, transformation, storage, governance, access, and AI/ML platform capabilities. The leader in this role will define the technology roadmap for the enterprise data and AI platforms - powering the company&rsquo;s core data operations through technologies such as Snowflake, Dataiku, Power BI, Semarchy, and Collibra. The Service Owner ensures the platform is modern, scalable, integrated, cost-efficient, and delivers the availability and security required for a regulated defense environment. 
 
Responsibilities<ul><li>
Own the end-to-end performance, scalability, and security of the enterprise data and AI platform stack, including Snowflake, Dataiku, Power BI, Semarchy, and Collibra.</li><li>
Establish engineering standards, integration patterns, and architectural guardrails for all platform components.</li><li>
Define and govern the multi-year roadmap for services such as ingestion, ETL/ELT frameworks, orchestration, compute engines, storage layers, cataloging, access control, and observability.</li><li>
Drive modernization initiatives including lakehouse architectures, cloud-native data engineering, containerization, automation, and reliability engineering.</li><li>
Direct platform architecture across batch, micro-batch, and streaming data flows.</li><li>
Ensure robust integration between Snowflake, Dataiku, Power BI, Semarchy, Collibra, and adjacent enterprise systems.</li><li>
Oversee reliability engineering, monitoring, observability, incident response, and change management for all platform services.</li><li>
Maintain strong disaster recovery, platform resiliency, and high-availability designs.</li><li>
Implement zero-trust aligned data access, encryption, masking, and audit logging across all platform technologies.</li><li>
Govern enterprise metadata, lineage, quality, and stewardship through Collibra and Semarchy.</li><li>
Provide clear, executive-level communication of platform investment plans, risks, and architectural decisions.</li><li>
Influence leaders across cybersecurity, infrastructure, engineering, and business teams, including those outside the direct reporting line.</li><li>
Lead, mentor, and develop high-performing engineering, SRE, and platform operations teams.</li><li>
Oversee vendor management and financial stewardship for Snowflake, Dataiku, Power BI, Semarchy, Collibra, and related partners</li></ul><div>
Competencies<ul><li>
Executive presence with the ability to influence senior stakeholders on complex platform decisions.</li><li>
Deep expertise in enterprise data platforms including Snowflake, Dataiku, Power BI, Semarchy, and Collibra.</li><li>
Communication excellence, capable of translating technical platform decisions for non-technical executives.</li><li>
Strong talent-development capability and ability to build engineering organizations.</li><li>
Ability to lead engineering and platform operations teams in large, complex, matrixed enterprises.</li></ul></div> 

Required Education, Experience, &amp; Skills
 
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or related field (advanced degree preferred).</li><li>
12+ years of progressive experience in enterprise data platforms, cloud platforms, MDM, governance, or systems engineering roles.</li><li>
Proven experience leading platform engineering and operations for Snowflake, Dataiku, Power BI, Semarchy, and Collibra.</li><li>
Familiarity with responsible AI, governance frameworks, and MLOps practices.</li><li>
Deep expertise in secure data architectures, identity and access controls, and compliance-aligned platform management.</li><li>
Strong background in software development, systems engineering, or technical program management.</li><li>
Demonstrated capability to develop and execute enterprise-scale platform roadmaps.</li><li>
Proven ability to influence senior leaders and shape decisions across a matrixed environment.</li></ul> 

Preferred Education, Experience, &amp; Skills
 
<ul><li>Experience in highly regulated industries such as defense, aerospace, or government.</li><li>
Experience with large-scale cloud data ecosystems, container orchestration, and observability platforms.</li></ul>
#LI-DM2 
#DM-Remote 

Pay Information 
Full-Time Salary Range: $153377 - $260743 
 
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
 
 
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics. 
 
About BAE Systems, Inc. 
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it&rsquo;s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts &ndash; defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team&mdash;making a big impact on a global scale. At BAE Systems, you&rsquo;ll find a rewarding career that truly makes a difference. 
 
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.</div>

Director I, IT Service Owner - Data & AI Platforms

Fervo Energy

<div>Description:

 The Senior Cloud Engineer builds, automates, and operates Fervo&rsquo;s Azure-native cloud platform, turning architectural designs into repeatable, well-governed infrastructure. The role centers on infrastructure as code, GitHub-based delivery, self-service platform capabilities, and automated configuration of Linux and Windows systems. Success requires hands-on engineering, demonstrated coding ability, and the discipline to manage infrastructure through version-controlled, peer-reviewed practices rather than manual change.
Requirements:

Responsibilities
Infrastructure as Code &amp; Delivery<ul><li>
Build and maintain infrastructure as code (Terraform and/or Bicep) and reusable modules to provision Azure resources consistently across environments and sites</li><li>
Build CI/CD pipelines in GitHub Actions and enforce GitOps workflows where changes flow through version control, pull requests, and peer review</li></ul>
Platform Engineering &amp; Self-Service<ul><li>
Build and iterate golden paths and self-service capabilities, with guardrails codified as policy to keep provisioning within security, cost, and tagging standards</li><li>
Document platform capabilities so internal teams can consume them without one-to-one engineering support</li></ul>
Systems Configuration &amp; Fleet Management<ul><li>
Manage Linux and Windows configuration through automation&mdash;Ansible and SUSE Manager (or equivalent) for Linux; Microsoft Intune and/or Group Policy for Windows&mdash;rather than manual, host-by-host changes</li><li>
Maintain baseline images and standards so new hosts, including field and edge compute, are provisioned in a known, compliant state</li></ul>
Operations, Security &amp; Compliance<ul><li>
Operate Azure landing zones and platform services within an Entra ID / Zero Trust model, with observability across monitoring, logging, alerting, and cost</li><li>
Ensure changes flow through auditable pipelines supporting SOX ITGC, and apply NERC CIP-aligned controls where platform components support in-scope systems</li></ul>
Qualifications
Required<ul><li>
Bachelor&rsquo;s degree in computer science, engineering, or related field (or equivalent experience)</li><li>
8 years in infrastructure support or engineering with demonstrated progression</li><li>
6+ years in cloud engineering, infrastructure automation, or platform engineering</li><li>
Production experience with infrastructure as code (Terraform and/or Bicep), including reusable modules and state management</li><li>
Hands-on experience with Git/GitHub and GitHub Actions for CI/CD or similar product</li><li>
Demonstrated coding ability in Python and/or PowerShell, evidenced by repositories or work samples</li><li>
Experience managing both Linux and Windows systems through automation (e.g., Ansible, Microsoft Intune and/or Group Policy)</li></ul>
Preferred<ul><li>
Platform engineering experience: internal developer platforms, golden paths, and self-service provisioning</li><li>
Google Cloud Platform (GCP) experience; Azure remains the primary platform</li><li>
SUSE Manager (or equivalent, such as Red Hat Satellite) and Microsoft Intune at scale</li><li>
Policy-as-code (Azure Policy, Open Policy Agent) and secrets management (Azure Key Vault, HashiCorp Vault)</li><li>
Regulated-sector experience and familiarity with NIST CSF, ISO 27001, or NERC CIP</li><li>
Certifications such as Azure Administrator Associate (AZ-104), Azure DevOps Engineer Expert (AZ-400), or HashiCorp Terraform Associate</li></ul></div>

Senior Cloud Engineer

Safe-Guard Products International, LLC

<div>Please do not respond to direct messages with your personal information. All job applications and your sensitive, personal information should only be submitted via our official job platform.
Job Title: Manager, Software Engineering (hybrid- onsite Monday-Thursday)
Location: US-GA-Atlanta (Sandy Springs)
FLSA: Exempt
#LI-Hybrid
Job Overview:
We are seeking a Manager of Software Engineering to lead a full-stack engineering team of 10+ engineers across onshore and offshore locations, owning our Contract Cancellations and Claims Payments platforms, including both internal and external-facing applications. This role reports to the Sr. Engineering Manager over Claims and Cancellations and is responsible for the delivery, stability, and modernization of the systems that process contract cancellations and claims payments for our OEM and dealer partners.
The ideal candidate brings hands-on engineering leadership, strong full-stack experience across frontend and backend, and a track record of using GenAI tools to accelerate the development lifecycle, paired with the ability to manage distributed onshore/offshore teams.
Job Responsibilities:<ul><li>
Lead, mentor, and develop a distributed, full-stack engineering team of 10+ engineers (onshore and offshore).</li><li>
Own the end-to-end delivery, reliability, and evolution of the Contract Cancellations and Claims Payments applications, both internal and external-facing, spanning frontend and backend.</li><li>
Partner with business stakeholders (Finance, Claims Operations, Product) to translate contract and payment processing needs into scalable technical solutions.</li><li>
Oversee full-stack applications built on microservices and modern frontend frameworks, backed by both SQL and NoSQL databases.</li><li>
Champion the adoption of GenAI tools and agentic development practices (e.g., AI-assisted coding, automated testing, documentation) to improve engineering velocity and quality.</li><li>
Drive engineering best practices including CI/CD, automated testing, code quality, and system observability.</li><li>
Balance new feature delivery with technical debt reduction and platform modernization.</li><li>
Ensure systems meet performance, availability, security, and compliance requirements for financial and contract transactions.</li><li>
Coordinate with offshore partners and vendors to ensure consistent delivery and quality.</li><li>
Lead production incident response, root cause analysis, and post-incident improvements for cancellations and payments systems.</li><li>
Build a strong culture of ownership, quality, collaboration, and continuous improvement.</li><li>
Provide coaching, performance management, and career development for engineers on the team.</li></ul>
The above statements are intended only to describe the general nature of the job and should not be construed as an all-inclusive list of position responsibilities.
Job Requirements:<ul><li>
7+ years of software engineering experience, including 2+ years in an engineering management or team lead role.</li><li>
Experience leading or working within distributed teams (onshore/offshore).</li><li>
Strong hands-on experience across the full stack, including microservices and modern frontend frameworks.</li><li>
Experience with SQL and NoSQL databases and cloud-native application deployment.</li><li>
Hands-on experience leveraging GenAI in the software development lifecycle (AI-assisted coding tools, agentic development frameworks, automated testing/documentation) is required.</li><li>
Experience with payment processing, contract lifecycle management, or other transaction-heavy systems is strongly preferred.</li><li>
Experience with claims processing or similar workflow-driven platforms is a plus.</li><li>
Strong communication skills with the ability to influence technical and non-technical stakeholders.</li></ul>
Company Benefits:<ul><li>
Medical, Dental, and Vision Insurance</li><li>
Flexible Spending Account</li><li>
Health Savings Account</li><li>
401(k) Plan with Company Match</li><li>
Company-paid Short-Term and Long-Term Disability</li><li>
Company-paid Life Insurance</li><li>
Paid Holidays and Vacation</li><li>
Employee Referral Program</li><li>
Employee Assistance Program</li><li>
Wellness Programs</li><li>
Paid Community Service Opportunities</li><li>
Tuition Reimbursement</li><li>
Ongoing Training &amp; Personal Development</li><li>
And More!</li></ul>
About Safe-Guard Products International:
Safe-Guard serves Original Equipment Manufacturers (OEMs), top retailers, and independent agents in the automotive finance and insurance industry with the leading Protection Products Platform. Our platform delivers innovative protection products and solutions that protect consumers from the perils of ownership, while providing Finance &amp;Insurance professionals the tools to ignite scalable and sustainable business growth. Safe-Guard&rsquo;s success is driven by over 850 employees, who serve more than 12,000 dealers and support contract holders across the U.S. and Canada.
For 30 years and counting, our team continues to transform the motor vehicle space, earning a stellar reputation from our partners and peers by providing: 1) the highest quality protection products in the industry, 2) a broad platform of branded product, technology, marketing, and training solutions, and 3) an unwavering commitment to uncomplicated care and customer service.
Safe-Guard Products International is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, disability or protected veteran status, or any other status or characteristic protected by federal, state, or local law.</div>

Software Developer (Manager)

Procore Technologies

<div>
 We&rsquo;re looking for a
 
 Staff Software Engineer - Agentic Foundation
 
 to join Procore&rsquo;s Product &amp; Technology Team. The Agentic Foundation team treats AI adoption as an internal product, building and operating the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. This position requires developer productivity experience to achieve high velocity without compromising on quality in this critical functional domain.
 
 
 Procore software solutions aim to improve the lives of everyone in construction and the people within Product &amp; Technology are the driving force behind our innovative, top-rated global platform. We&rsquo;re a customer-centric group that encompasses engineering, product, product design and data, security and business systems.
 
 
 This role reports to a Senior Manager, Software Engineering and we&rsquo;re looking for someone to join us immediately.
 
 Apply now!
 
 
 
 
 
 What you&rsquo;ll do:
 
 
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction
 </li>
 <li>
 Own the technical vision and architectural strategy for Procore's agentic developer platform &mdash; setting the direction for how AI is integrated natively across the full software development lifecycle, from code generation and review through testing, deployment, and observability.
 </li>
 <li>
 Author and drive adoption of architectural RFCs and technical design documents that establish org-wide platform contracts, integration patterns, and engineering standards for teams you don't directly work with.
 </li>
 <li>
 Conduct thorough, constructive code reviews and pair with teammates to elevate code quality and knowledge-sharing across the team.
 </li>
 <li>
 Anticipate second- and third-order consequences of platform decisions; design systems that remain extensible as Procore's agentic capabilities evolve.
 </li>
 <li>
 Collaborate with infrastructure, platform, and product engineering teams to align on shared standards and avoid duplicated effort.
 </li>
 <li>
 Bring strong opinions, loosely held &mdash; propose ideas clearly, pressure-test them with the team, and adapt based on feedback.
 </li>
 <li>
 Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.
 </li>
 <li>
 Focus on metrics and observability: We intend to become an elite performer in the software industry, and we can only do this if we learn and adapt quickly. We need telemetry from our agentic software delivery systems from which to continually learn how to improve our lead time for changes, our change failure rate, and our mean time to recover from failure.
 
 
 </li>
 </ul>
 
 
 What we&rsquo;re looking for:
 
 
 
 
 <ul>
 <li>
 8+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
 </li>
 <li>
 Proven proficiency with AI-native developer tooling &mdash; you have integrated LLM-powered systems into engineering workflows (code review, test generation, agentic pipelines, or similar) and can lead Procore's strategy in this space from day one.
 </li>
 <li>
 Experience building or integrating AI-native developer tooling &mdash; LLM-assisted code review, agentic test generation, AI-powered incident triage, or similar.
 </li>
 <li>
 Experience with LLM evaluation frameworks (benchmarks, evals, quality scoring) for assessing tool effectiveness.
 </li>
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 Experience building MCPs, MCP Gateway, or AI/LLM Gateways.
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 Familiarity of how AI Agents and LLMs work under the hood.
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 Experience working in Developer Platform, DevOps or Developer Experience teams.
 </li>
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 Strong fundamentals in at least one of: Ruby on Rails, Python or TypeScript; comfort reading and contributing across multiple languages.
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 Solid DevOps instincts: you understand deployment strategies, rollback mechanisms, feature flags, and what 'safe to deploy' actually means in a high-scale environment.
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 Expert-level fluency in software delivery observability: DORA metrics, distributed tracing, SLO/SLA design, and building feedback loops that drive measurable improvement.
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 Track record of mentoring senior engineers and raising the technical bar of those around you &mdash; not just executing at a high level yourself.
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 Comfort navigating organizational ambiguity: you can drive clarity, build consensus, and maintain momentum on long-horizon initiatives without close direction.
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 </ul>
</div>

Staff Software Engineer - Agentic Foundation

TAIT

<div>TAIT partners with artists, brands, IP holders and place makers to bring culture-defining, never-before-seen experiences to life. With a legacy of innovation spanning over 45 years, TAIT has grown from pioneering in rock &lsquo;n&rsquo; roll concert staging to setting the global standard for extraordinary live events and experiences through cutting-edge technology, precision engineering, and creative design. TAIT&rsquo;s 20 global offices have developed iconic productions and experiences in over 30 countries, all seven continents, and even outer space for renowned performers, theme parks, exhibits, and venues across the globe, including partnerships with Taylor Swift, Cirque Du Soleil, Royal Opera House, Nike, NASA, Bloomberg, Google, Beyonc&eacute;, and The Olympics 
TAIT is looking for a hands-on Data Engineer to build, scale, and operate the governed data platform that will underpin the next phase of the company's technology transformation. Reporting to the Data Architect, this role will turn the target data architecture into reliable pipelines, reusable data products, trusted analytical models, and production platform capabilities.
This role is ideal for an experienced engineer who can move between architecture and execution and who has a proven track record delivering production-grade Databricks solutions in AWS. The successful candidate will do more than move data from one system to another: they will have delivered projects that combine complex enterprise and operational data to enable sophisticated analysis, forecasting, optimization, AI/ML use cases, and confident executive decision-making.
The Data Engineer will work closely with the Data Architect and partner across Enterprise Technology, Architecture/AI, Integration, Infrastructure and Cloud, Information Security, and business teams including Finance, Sales, Project Delivery, Operations, Procurement, Manufacturing, and People/Resourcing. The role will help establish clear sources of truth and enable analytics across systems such as Salesforce CRM and CPQ, Kantata PSA, Epicor and the next-generation ERP, MES, Autodesk/PLM, HCM, service management platforms, and other internal and external data sources. 
Responsibilities:
Databricks and AWS Data Platform Engineering<ul><li>
Design, build, deploy, and operate production data pipelines and lakehouse capabilities using Databricks on AWS.</li><li>
Implement scalable ingestion, transformation, orchestration, and serving patterns for batch, near-real-time, streaming, API, file, and change-data-capture workloads.</li><li>
Use AWS services and controls - including S3, IAM, KMS, VPC networking, Secrets Manager, CloudWatch, and appropriate catalog or integration services - to create secure and supportable data solutions.</li><li>
Develop reliable data layers, optimizing workloads, storage design, cluster or serverless configuration, performance, and platform cost.</li><li>
Establish automated deployment practices using Git, CI/CD, infrastructure as code, automated testing, and environment promotion across development, test, and production.</li><li>
Implement monitoring, observability, alerting, recovery, service-level objectives, and operational runbooks for critical data products and pipelines.</li></ul>
Analytics Enablement and Data Products<ul><li>
Translate high-value business questions into well-defined data products, curated datasets, and semantic-ready models for Power BI, advanced analytics, and AI-enabled solutions.</li><li>
Integrate data from multiple enterprise and operational sources to support strategic analytics, dashboards, KPIs, project and customer profitability, resource and capacity analysis, financial planning, forecasting, scenario modeling, operational optimization, and other sophisticated analytical use cases.</li><li>
Partner with analysts, product owners, and business subject-matter experts to ensure data products are analytically fit for purpose, clearly defined, and adopted by their intended users.</li><li>
Create reusable datasets and feature-ready data that accelerate experimentation and responsible delivery of machine learning, generative AI, and other advanced analytical capabilities.</li><li>
Define and track technical and business measures for data-product adoption, quality, timeliness, reliability, and realized value.</li></ul>
Roadmap Delivery<ul><li>
Partner with the Integration team and Data Architect to define data contracts, APIs, event patterns, and reusable integration standards, including appropriate alignment with MuleSoft and other enterprise integration capabilities.</li><li>
Support major platform implementations and migrations by developing conversion pipelines, reconciliation routines, archival strategies, historical-data models, and post-go-live analytical capabilities.</li><li>
Create repeatable onboarding patterns that accelerate M&amp;A data discovery, integration, harmonization, and reporting across acquired businesses.</li><li>
Reduce data and technology debt by replacing brittle point-to-point extracts, undocumented transformations, and duplicate datasets with governed, reusable platform services.</li></ul>
Data Quality, Governance, and Security<ul><li>
Work with the Data Architect to implement enterprise data standards, naming conventions, reference architectures, reusable patterns, and engineering guardrails.</li><li>
Build automated data-quality controls, source-to-target reconciliation, exception handling, freshness checks, and issue-management processes for critical data domains.</li><li>
Implement metadata management, cataloging, lineage, ownership, and access controls using Databricks governance capabilities and supporting enterprise tools.</li><li>
Apply security by design, including least-privilege access, encryption, secrets management, environment separation, auditability, retention, and appropriate handling of confidential or regulated data.</li><li>
Help define and maintain trusted sources of truth, master and reference-data practices, data definitions, and documentation that make strategic metrics traceable and explainable.</li></ul>
Delivery, Collaboration, and Continuous Improvement<ul><li>
Own engineering work from discovery through production support, including estimation, design, development, testing, documentation, deployment, adoption, and continuous improvement.</li><li>
Communicate technical tradeoffs, dependencies, risks, and recommendations clearly to both technical and non-technical audiences.</li><li>
Participate in design reviews, code reviews, incident reviews, architecture forums, and roadmap planning; provide practical feedback that improves quality without slowing delivery unnecessarily.</li><li>
Work effectively with global internal teams, nearshore and offshore partners, software vendors, and implementation partners while maintaining clear engineering accountability and standards.</li><li>
Mentor less-experienced engineers and analysts, share reusable practices, and help build a strong data-engineering discipline within GTS.</li></ul>
Required Qualifications:<ul><li>
Bachelor's degree in computer science, engineering, information systems, data science, or a related discipline, or equivalent practical experience.</li><li>
7+ years of professional experience in data engineering, analytics engineering, data platform engineering, or a closely related role.</li><li>
A proven track record designing, delivering, and operating production-grade solutions in Databricks on AWS, including responsibility for architecture implementation, pipeline development, deployment, support, performance, and cost.</li><li>
Evidence of delivering multiple end-to-end projects where engineered data products enabled sophisticated analysis - such as cross-system KPI reporting, forecasting, optimization, profitability analysis, anomaly detection, predictive modeling, scenario analysis, or AI/ML - with clear business outcomes.</li><li>
Advanced SQL and strong Python/PySpark skills, including experience developing maintainable, tested, production-quality code for large and complex datasets.</li><li>
Strong knowledge of Spark, Delta Lake or comparable lakehouse patterns, dimensional and analytical data modeling, partitioning, schema evolution, data contracts, and performance tuning.</li><li>
Hands-on experience with core AWS data-platform capabilities such as S3, IAM, KMS, VPC networking, CloudWatch, Secrets Manager, and related services used to secure, integrate, and operate Databricks workloads.</li><li>
Experience building batch and incremental pipelines using APIs, files, databases, SaaS connectors, change data capture, and at least one orchestration framework or managed workflow capability.</li><li>
Experience with Git-based development, CI/CD, automated data testing, code review, environment management, and infrastructure-as-code practices.</li><li>
Practical experience implementing data quality, observability, cataloging, lineage, access control, and operational support for business-critical data products.</li><li>
Strong problem-solving, documentation, and communication skills, including the ability to translate ambiguous business needs into pragmatic technical solutions and explain data issues in business terms.</li><li>
Ability to work independently in a changing environment, prioritize based on business value and risk, and collaborate effectively across architecture, integration, infrastructure, security, applications, analytics, and business teams.</li></ul>
Preferred Qualifications:<ul><li>
Databricks certification and/or AWS certification relevant to data engineering, analytics, or cloud architecture.</li><li>
Experience with Unity Catalog or comparable governance capabilities, including fine-grained access, lineage, cataloging, and multi-environment administration.</li><li>
Experience preparing governed data models for Power BI, including semantic-model design, incremental refresh patterns, performance optimization, and row-level security.</li><li>
Experience integrating enterprise applications such as Salesforce, Epicor or another ERP, Kantata or another PSA, CPQ, MES, PLM, HCM, EPM, and service management platforms.</li><li>
Experience with MuleSoft or another enterprise integration platform and with designing API- or event-driven data exchange patterns.</li><li>
Experience enabling machine learning or AI solutions through feature engineering, model-ready datasets, ML lifecycle tooling, vector or unstructured-data pipelines, or responsible AI data controls.</li><li>
Experience in a global, project-based, manufacturing, engineering, live-entertainment, or operationally complex business environment.</li><li>
Experience supporting enterprise transformation, ERP replacement, legacy-platform retirement, cloud migration, and/or M&amp;A integration.</li></ul> 
#LI-ML1
TAIT is an equal opportunity employer fully committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran or any other protected characteristic as outlined by international, national, state, or local laws.</div>

Data Engineer

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