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engineering manager data architecture

Ontrac Solutions

<div><h1 class="jobSectionHeader">Overview</h1>
We are seeking a Principal GenAI Architect / Forward Deployed Principal Engineer to lead the design, delivery, and productionization of enterprise-grade Generative AI solutions within a highly regulated banking environment. This role will partner directly with business, product, engineering, architecture, risk, cyber, legal, compliance, and model governance teams to translate high-impact financial services use cases into scalable, secure, and compliant AI systems.
The ideal candidate has deep experience designing and delivering production-scale GenAI solutions across enterprise environments, with strong exposure to banking, financial services, risk management, customer operations, regulatory controls, and data protection requirements. This person will serve as a recognized GenAI expert across the organization, helping define reusable patterns, influence platform roadmaps, and raise the technical bar for responsible AI adoption across lines of business.
<h2 class="jobSectionHeader">Key Responsibilities</h2>
<h3 class="jobSectionHeader">GenAI Architecture &amp; Production Readiness</h3>
Own and define enterprise-grade GenAI architectures for banking and financial services use cases, including RAG pipelines, agentic workflows, prompt orchestration, and multi-model routing strategies.
Drive production readiness for GenAI solutions, ensuring scalability, resiliency, observability, latency optimization, security, and cost efficiency.
Lead complex architectural decisions across data ingestion, vector databases, model selection, guardrails, API scalability, performance optimization, and secure integration with banking systems.
Establish reference architectures, reusable patterns, and best practices to accelerate responsible GenAI adoption across lines of business.
Partner with central AI platform teams to align solution architecture with enterprise AI services, platform capabilities, banking technology standards, and long-term roadmap priorities.
<h3 class="jobSectionHeader">Banking Use-Case Delivery</h3>
Act as a Forward Deployed Principal Engineer, partnering directly with business, product, and engineering teams to deliver high-impact GenAI use cases from ideation through production.
Translate banking and financial services business problems into clear AI system designs, technical requirements, and non-functional requirements with measurable outcomes.
Support GenAI use cases across areas such as customer service, operations, knowledge management, risk, compliance, fraud, employee productivity, document intelligence, and internal workflow automation.
Troubleshoot and resolve complex issues across non-production and production environments.
Partner closely with application teams to ensure AI solutions integrate effectively into existing banking platforms, enterprise workflows, data environments, APIs, and control frameworks.
Influence platform roadmap by feeding real-world banking use-case requirements back into central AI services and enterprise AI platform teams.
<h3 class="jobSectionHeader">Governance, Risk &amp; Compliance</h3>
Ensure all AI solutions align with banking risk, cyber, model governance, data protection, privacy, and regulatory expectations.
Partner with Cyber, Model Risk Management, Legal, Compliance, Risk, and Data Governance teams to design compliant AI patterns without slowing delivery.
Embed security, privacy, responsible AI, ethical AI, explainability, human oversight, and auditability into solution design by default.
Help define practical implementation patterns that balance innovation, speed, governance, regulatory expectations, and enterprise control requirements.
Ensure GenAI solutions are designed with appropriate guardrails for sensitive financial data, customer information, personally identifiable information, and regulated business processes.
<h3 class="jobSectionHeader">Organizational Influence &amp; Mentorship</h3>
Serve as a recognized GenAI expert across the enterprise, regularly consulted by engineering, architecture, product, risk, compliance, and leadership teams.
Mentor senior and staff-level engineers and help raise the technical bar across banking technology teams.
Contribute to internal communities of practice, architecture reviews, executive-level technical discussions, AI governance forums, and knowledge-sharing sessions.
Represent enterprise GenAI capabilities in internal innovation forums, banking technology discussions, and responsible AI showcases.
<h2 class="jobSectionHeader">Required Qualifications</h2>
7+ years of software engineering experience, with significant depth in AI/ML, data-intensive systems, distributed systems, or enterprise-scale platforms.
2+ years of hands-on Python programming experience.
2+ years of experience designing and delivering production-scale Generative AI systems in an enterprise environment.
2+ years of experience with LLMs, prompt engineering, and RAG architecture.
2+ years of experience with vector databases, semantic search, and retrieval systems.
2+ years of experience with API-driven, cloud-native architectures.
2+ years of experience with distributed systems, performance optimization, scalability, and reliability engineering.
Experience working within banking, financial services, fintech, or another highly regulated enterprise environment.
<h2 class="jobSectionHeader">Preferred Qualifications</h2>
Strong understanding of banking technology environments and non-functional requirements, including security, scalability, resiliency, observability, latency, auditability, and cost management.
Demonstrated Principal-level impact, with influence across multiple teams, platforms, business units, or lines of business.
Experience operating in highly regulated environments, with financial services or banking experience strongly preferred.
Hands-on experience with agentic AI frameworks, AI workflow orchestration, and multi-model routing.
Prior experience in a Forward Deployed Engineer, embedded engineering, or business-facing technical delivery model.
Experience partnering with risk, cyber, legal, compliance, data governance, or model governance teams to deliver production AI solutions.
Familiarity with banking controls, customer data protection, model risk management, audit requirements, regulatory expectations, and responsible AI principles.
Ability to communicate complex technical concepts clearly to senior executives, technical stakeholders, risk partners, compliance teams, and non-technical business leaders.
<h2 class="jobSectionHeader">Ideal Candidate Profile</h2>
The ideal candidate is a hands-on Principal-level engineer and architect who can move seamlessly between strategy, architecture, and execution in a banking environment. They are comfortable working directly with business teams to understand real-world financial services problems, while also going deep with engineering teams on system design, performance, security, governance, and production readiness.
This person brings strong technical judgment, enterprise banking delivery experience, and the ability to build practical, compliant GenAI solutions that can scale responsibly across a large financial institution.</div>

Principal AI Engineer

Smvsoft LLC

Founding Engineer - Applied AI San francisco, CA (Full time)- In-Office$180k-$230k per annumNO C2CAbout the RoleHiring a world-class Applied AI Engineer to build the core systems behind their automation engine for hardware engineering.This is a deeply technical, high-impact role. You will be among the first technical hires and will own mission-critical systems end-to-end. The problems are ambiguous, the constraints are real, and the expectations are high. If you move fast from idea to production, care deeply about customer experience, and want to build foundational AI infrastructure for the world's most impactful industries, this role is for you.Key Responsibilities<ul><li>Design and implement core workflows and infrastructure for hardware engineering agents, including intelligent context management, novel indexing approaches, and post-training</li><li>Build agents and ML models that can interpret, reason over, and manipulate complex engineering design data, integrating with enterprise-grade engineering tools and systems</li><li>Work closely with customers and the engineering team to deliver AI-powered workflows that are reliable, intuitive, and trusted in production environments</li><li>Prototype rapidly, validate ideas with real users, and ship frequently</li><li>Influence engineering culture, architecture decisions, and the future of the product</li></ul>RequirementsMust-Have<ul><li>Bachelor's or higher in Computer Science, Machine Learning, or equivalent experience</li><li>Strong familiarity with LLM architectures and agent research trends</li><li>Excellent programming skills with experience using ML libraries such as PyTorch, Hugging Face, and W&amp;B</li><li>Experience building production ML or AI systems</li><li>Solid practical experience with search and information retrieval</li><li>Moves fast from idea to production, with a genuine care for customer experience</li><li>Based in or willing to relocate to San Francisco, or an exceptional remote candidate</li></ul>Nice-to-Have<ul><li>2+ years in applied machine learning, backend engineering, or AI infrastructure</li><li>Experience working with machine learning over geometric data, including CAD</li><li>Track record of high-impact contributions or published papers at top-tier AI labs or teams</li></ul>Pay: $180,000.00 - $230,000.00 per yearWork Location: In person

Founding Engineer - Applied AI

Ethernovia

<div><div>About Ethernovia, Inc.

Ethernovia is developing the future of Ethernet-based networks to realize the full potential of software-defined and autonomous vehicles, robotics and other intelligent machines. Founded in 2018, the company's breakthrough data transport and acceleration technology is ushering in a new era of connectivity and capabilities in the vehicle and at the edge, including highly reliable autonomy, over-the-air servicing and AI-backed applications.

Ethernovia's co-founders are serial technology entrepreneurs with multiple prior successful ventures together. We are well-funded and backed by some of the worlds' leading technology investors, having secured $154M ($90+M Series-B and $64M Series-A) in total funding to date:
<ul>
<li>Ethernovia Raises Over $90 Million Series B to Scale Leading-Edge Autonomy and Physical AI Networking Chips</li>
<li>Ethernovia Raises $64 Million to Accelerate the Revolution of Vehicle Networks | Business Wire
<ul><li>(financial backers include: Porsche SE, Qualcomm, AMD, Western Digital, Maverick Silicon, Socratic Partners, Conduit Capital, and CDIB-TEN Capital)</li>
</ul>
</li></ul>Ethernovia has been recognized in EE Times' prestigious list of the Top 100 Startups for 2025.
<ul>
<li>March 2026: Ethernovia Announces HSB-Enabled Networking Board for NVIDIA Holoscan Platforms</li>
<li>January 2024: Our CEO Ramin Shirani Named MotorTrend Software-Defined Vehicle Innovator Awards Winner (ethernovia.com)</li>
<li>September 2023: Continental and Ethernovia Announce Partnership to Develop Automotive Switch in 7nm - Ethernovia</li>
<li>Connected Car News: Helios, Continental, Ethernovia, Avanci, BMW, Mapbox, Porsche, SEMA, Honda, UltraSense, Flex Logix, Diodes Inc., Garmin, Toyota &amp; Caruso | auto connected car news</li>
</ul>
With talented employees on 4 continents, we have filed 50+ patents to date.

Join Ethernovia's team to make a lasting impact on the future of packet processor-centric networking solutions to support the real-time sensor, Physical AI, and control data demands of software-defined autonomy across vehicles, robots and intelligent machines. Come share in our success with pre-IPO shares, competitive compensation, and great benefits while growing your knowledge and career with world class talent. We are looking for talented engineers and leaders who have an entrepreneurial spirit and want to drive cutting edge designs from concept to silicon to the future of mobility.</div>
Lead Systems/DSP Engineer

Summary:

We are seeking a seasoned DSP / System Architect to lead the design of next-generation high-speed (25G+) physical layer (PHY). In this role, you will define and drive the end-to-end DSP architecture, from system-level modeling through silicon validation, enabling highly optimized, low-power, and high-performance transceiver implementations.

This is a high-impact technical leadership role at the intersection of signal processing, mixed-signal design, and system architecture. You will work closely with cross-functional teams to translate advanced algorithms into robust, production-ready silicon.

Key Responsibilities

System Architecture &amp; Technical Leadership
<ul>
<li>Define and own the DSP/system architecture for high-speed transceivers, balancing power, performance, and silicon area</li>
<li>Drive key architectural decisions across DSP, analog front-end, and system partitioning</li>
<li>Lead system-level trade-offs and provide technical direction across the organization</li>
</ul>
Modeling &amp; Algorithm Development
<ul>
<li>Develop and maintain high-fidelity system models of complete transceivers using MATLAB, Simulink, Python, and/or C++</li>
<li>Design, evaluate, and optimize advanced equalization techniques, including FFE, DFE and MLSD</li>
<li>Architect robust Clock and Data Recovery (CDR) solutions with wide frequency acquisition range and very low phase noise</li>
<li>Develop efficient and advance echo cancellation algorithms for full-duplex high-speed links optimizing for power and silicon area</li>
<li>Design adaptive DSP algorithms with strong focus on rate of convergence, robustness, and implementation efficiency</li>
<li>Develop channel model including nonlinear effects and complex noise sources</li>
</ul>
System Integration &amp; Cross-Functional Collaboration
<ul>
<li>Translate system-level requirements into block-level specifications (AFE, ADC/DAC, PLL, DSP blocks, etc.)</li>
<li>Collaborate closely with analog, RTL, and physical design teams to ensure accurate and efficient implementation</li>
<li>Ensure alignment between algorithm models and hardware realization</li>
</ul>
Silicon Validation &amp; Productization
<ul>
<li>Drive pre-silicon to post-silicon correlation, ensuring models accurately predict silicon behavior</li>
<li>Define and support silicon bring-up, characterization, and debugging</li>
<li>Establish lab validation methodologies and support compliance testing and performance benchmarking</li>
<li>Contribute to system-level bring-up and production ramp readiness</li>
</ul>
Qualifications

Required
<ul>
<li>MS or PhD in Electrical Engineering or a related discipline</li>
<li>10+ years of experience in DSP/system architecture for high-speed communication systems</li>
<li>Deep expertise in digital communications theory including advanced, efficient and adaptive equalization and echo cancellation algorithms, CDR algorithms, phase noise characterization and loop dynamic analysis, channel modeling and nonlinear effects</li>
<li>Strong hands-on experience with system modeling tools (MATLAB, Simulink, Python, C++)</li>
<li>Solid understanding of mixed-signal design fundamentals, including ADC/DAC architectures, PLL behavior and phase noise analysis, channel and analog front-end modeling including non-idealities</li>
<li>Proven track record of driving complex systems from concept to silicon</li>
</ul>
Preferred
<ul>
<li>Experience in designing high-speed IEEE 802.3 transceivers for automotive, robotics and data center applications over both optical and copper channels</li>
<li>Prior technical leadership or mentoring experience</li>
</ul>
What You Can Expect From Ethernovia:
<ul>
<li>Technology depth and breadth expansion that can't be found in a large company</li>
<li>Opportunity to grow your career as the company grows</li>
<li>Pre IPO stock options</li>
<li>Cutting edge technology</li>
<li>World class team</li>
<li>Competitive base salary</li>
<li>Flexible hours</li>
<li>Medical, dental and vision insurance for employees</li>
</ul>
Salary Range:
<ul>
<li>The actual offered base salary for U.S. locations will vary depending on factors such as work location, individual qualifications, specializations, years of experience, skills, job-related knowledge, and internal equity. The annual salary range for this position is $180,000 - $250,000. The compensation package will also include incentive compensation in the form of pre-IPO ISO options, in addition to base salary and a full range of medical and other benefits.</li>
</ul>
<ul><li>Principals Only (No Agencies)</li></ul>

#LI-Hybrid</div>

Lead Systems/DSP Engineer

Decagon

<div>About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Our technology enables industry-defining enterprises like Avis Budget Group, Block&rsquo;s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
We&rsquo;re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We&rsquo;re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
We&rsquo;re an in-office company, driven by a shared commitment to excellence and velocity. Our values &mdash; Just Get It Done, Invent What Customers Want, Winner&rsquo;s Mindset, and The Polymath Principle &mdash; shape how we work and grow as a team.
About the Team
The Security Engineering team at Decagon protects the platform that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email and SMS. We build the security foundations that enable Decagon's AI agents to handle sensitive customer data with trust while defending against sophisticated, AI-enabled threats at massive scale.
Our mission is to provide magical support experiences &mdash; ensuring that AI agents and human agents can collaborate safely to help users resolve their issues while maintaining the highest standards of security and privacy.
About the Role
Lead the application security strategy and implementation for Decagon AI's conversational platform that serves enterprise customers at scale. You'll partner with engineering teams to build security directly into our AI-powered applications, ensuring protection against application-layer threats while maintaining the performance and reliability our customers expect. This role offers the opportunity to apply deep application security expertise to AI systems and shape security practices across our rapidly growing engineering organization.
In this role, you will<ul><li>
Design and implement application security controls across our AI agent platform, including secure coding practices, threat modeling, and vulnerability management.</li><li>
Collaborate closely with product engineering teams to integrate security throughout the software development lifecycle, from design, coding, PR, and deployment</li><li>
Establish application security testing programs including static analysis (SAST), dynamic analysis (DAST), and interactive testing (IAST) tailored for AI applications</li><li>
Lead security code reviews and architecture assessments for new features, with special focus on AI model integration points and customer data handling</li><li>
Build security tooling and automation to enable developers to identify and remediate vulnerabilities quickly while maintaining development velocity</li><li>
Respond to security incidents involving application vulnerabilities, coordinating remediation efforts and post-incident improvements</li></ul>
Your background looks something like this<ul><li>
Have 5+ years of hands-on application security engineering experience</li><li>
Expertise in secure software development practices, including threat modeling, secure code review, and vulnerability assessment</li><li>
Strong software engineering background with ability to review code across multiple languages and frameworks commonly used in AI/ML applications</li><li>
Experience implementing application security testing tools and integrating security into CI/CD pipelines</li><li>
Knowledge of OWASP Top 10, common application vulnerabilities, and modern application security frameworks</li><li>
Proven track record working with engineering teams to remediate security findings while balancing security and business requirements</li></ul>
Even better<ul><li>
Experience securing AI/ML applications, including prompt injection, model extraction, and adversarial input protections</li><li>
Background with large-scale, multi-tenant SaaS applications handling sensitive customer data</li><li>
Familiarity with Google Cloud application security services and container security best practices</li><li>
Knowledge of enterprise compliance requirements (SOC 2, ISO 27001, GDPR) from an application security perspective</li><li>
Experience with modern security tools like Semgrep, CodeQL, Cursor Bug Bot, XBOW, or similar</li></ul>
Compensation
$200K &ndash; $330K + Offers Equity
Benefits
We proudly offer the following benefits for our full-time employees:<ul><li>
Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)</li><li>
Medical, Dental, and Vision benefits for you and your family</li><li>
Life Insurance and Disability Benefits</li><li>
Retirement Plan (e.g., 401K, pension)</li><li>
Parental Leave</li><li>
Fertility and family building benefits through Carrot</li><li>
Daily lunches and snacks in the office to keep you at your best</li></ul>
These benefits are described in more detail in Decagon&rsquo;s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
Compensation Range: $200K - $330K</div>

Senior Security Engineer

Supplied Talent

<div>We're investing heavily in a new product area: browser automation and document intelligence. You'll own this platform end-to-end &mdash; from architecture through shipping. This is not a maintenance role. It's 80% net-new build, with the chance to put your fingerprints on a product line that's already live with customers and growing fast. 
You'll report directly to the CEO (we're flat), work closely with product and forward-deployed engineering, and selectively join customer calls when you're the subject-matter expert on something you've built. 
WHAT YOU'LL BUILD<ul><li> 
Own the browser automation and document intelligence platform from the ground up</li><li>Build and ship AI agents that handle complex insurance workflows across voice, chat, email, and SMS</li><li>Write production-grade TypeScript/React/Node.js &mdash; first PR to production in week one</li><li>Work cross-functionally with product and forward-deployed engineering teams</li><li>Join customer calls to demo features you've built and advise on technical implementation</li><li>Shape architecture and tooling decisions as one of the earliest engineers at a company scaling fast</li><li>Help define engineering best practices as we grow toward 30 people by end of year</li></ul> 
WHAT WE'RE LOOKING FOR 
Experience<ul><li>4&ndash;8 years of full-stack engineering experience, with clear ownership and progression</li><li>The profile that fits best: someone already performing at a senior level, ready to make the jump to full end-to-end ownership and responsibility</li><li>Strong foundation from a reputable tech company or well-known startup &mdash; we value quality of experience over years</li><li>Proven ability to ship AI or LLM-based products in production &mdash; this is non-negotiable</li></ul> 
Technical Skills<ul><li>Proficient in a modern language; willingness to work in TypeScript/React/Node.js/Express (our stack)</li><li>Hands-on experience building or integrating LLM-based systems, agents, or AI workflows</li><li>PostgreSQL or similar relational database experience</li><li>AWS or cloud infrastructure experience is a plus, not a requirement</li></ul> 
Academic Background<ul><li>GPA 3.7+ preferred for candidates earlier in career &mdash; we may request a transcript</li><li>School prestige matters less than how you performed there; what we want to see is that you've pushed yourself</li></ul> 
Who You Are<ul><li>You want ownership &mdash; not a ticket queue, not a committee. You want to build and see it land with real customers</li><li>You're comfortable being customer-facing and can speak credibly to technical decisions you've made</li><li>You thrive in a high-intensity environment and want to be part of building something from early innings</li></ul> 
TECH STACK 
TypeScript
React
Node.js / Express
PostgreSQL
AWS 
We prioritize expertise in your language of choice and the appetite to work in our stack &mdash; we won't disqualify you for coming from a different language background.</div>

Senior Full Stack Engineer

David Joseph & Company

<div>San Francisco, CA &middot; On-site &middot; Full-time 
Compensation: $120,000&ndash;$300,000 + Competitive Equity<h2 class="jobSectionHeader">
About the Company</h2>
An early-stage, venture-backed FinTech building AI compliance analysts that automate AML, KYC, KYB, and transaction monitoring end-to-end for banks and fintechs. The product operates inside browsers, APIs, and internal systems the way a human analyst would, and is already live with financial institutions across multiple regions.
Founded 2024 &middot; Seed stage &middot; Small team &middot; Industry: FinTech<h2 class="jobSectionHeader">
The Role</h2>
A backend-leaning Member of Technical Staff building the end-to-end systems that power production AI compliance workflows &mdash; high-performance infrastructure, reliability, and backend architecture supporting mission-critical automation.
What you'll be doing<ul><li>
Architect agent behaviors and build the backend systems behind production AI compliance workflows</li><li>
Build browser agents that navigate legacy systems, portals, and third-party platforms, interpreting unstructured data</li><li>
Process risk signals at the speed money moves &mdash; millions of transactions, sub-second decisions &mdash; via distributed inference, caching, queue orchestration, and self-healing data pipelines on AWS</li><li>
Contribute to an in-house deep-research pipeline that keeps LLMs from conflating similar entities</li><li>
Optimize ML pipelines and ship product features, owning problems vertically</li></ul>
Tech stack: Python, AWS; browser automation, computer vision, LLM systems.<h2 class="jobSectionHeader">
Requirements</h2><ul><li>
Experience with backend development and/or ML, especially in Python and AWS</li><li>
Hands-on experience deploying software to production environments</li><li>
Strong communication skills and willingness to interact with clients</li></ul><h2 class="jobSectionHeader">
Green Flags</h2><ul><li>
Experience with browser automation and computer vision</li><li>
Background with distributed inference and optimization on AWS</li><li>
Familiarity with LLM systems and deep research pipelines</li><li>
Experience building systems that process millions of transactions at scale</li><li>
Knowledge of compliance, AML, KYC, or financial crime domains</li><li>
Competitive coding background</li><li>
Contributions to open-source projects or personal projects on GitHub</li><li>
Prior experience as a founder or at an early-stage startup</li></ul><h2 class="jobSectionHeader">
Red Flags</h2><ul><li>
Candidates from a pure data science background who lack strong technical skills</li><li>
Lack of hands-on experience deploying software to production</li><li>
Primarily academic or research experience without practical engineering work</li></ul><h2 class="jobSectionHeader">
Why Join</h2><ul><li>
Build frontier AI agents in production, solving hard problems with no off-the-shelf answers</li><li>
Large, underserved market with real customer traction and measurable impact</li><li>
Small team with wide surface area &mdash; own features end-to-end across backend, ML, and product</li></ul><h2 class="jobSectionHeader">
Details</h2><ul><li>
Location: San Francisco, CA</li><li>
Work policy: On-site</li><li>
Compensation: $120,000&ndash;$300,000 + equity</li><li>
Visa sponsorship: H-1B, O-1, OPT</li><li>
Experience: 1+ years</li><li>
Employment type: Full-time</li></ul></div>

Member of Technical Staff

Cisco

The application window is expected to close on: 09/11/2026Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
 
Meet the Team
 The Platform Engineering organization is responsible for building and operating the foundational cloud-native platforms that power engineering across Cisco Network Platform. Our team owns the Kubernetes ecosystem used by thousands of developers, spanning hundreds of clusters across public and on-premise environments.. We provide the infrastructure, automation, observability, security, and self-service capabilities that enable product teams to build and operate services reliably at scale.
 We are a highly collaborative team of SREs, who enjoy solving complex distributed systems challenges. Our culture emphasizes ownership, operational excellence, automation, and continuous improvement. This is an opportunity to shape the future of Kubernetes and platform engineering within Cisco Network Platform while influencing the experience of engineers across the company.
 Your Impact
 Architect and drive the evolution of Kubernetes platform strategy across cloud and on-premises environments supporting mission-critical workloads at scale.
 Lead the design and implementation of platform capabilities that improve reliability, security, scalability, and developer productivity for hundreds of engineering teams.
 Partner with engineering, security, and product leaders to define multi-year platform roadmaps and drive execution of company-critical initiatives.
 Provide technical leadership during major incidents, architecture reviews, platform transformations, and strategic infrastructure investments.
 Mentor senior engineers and help raise the engineering bar through technical leadership, design reviews, operational excellence, and architectural guidance.
 
Minimum Qualifications
 
<ul>
<li>15+ years of experience designing, building, and operating large-scale distributed systems in production environments.</li>
<li>7+ years of hands-on experience operating Kubernetes platforms in production, including multi-cluster environments.</li>
<li>Experience architecting and operating cloud-native infrastructure across AWS, Azure, GCP, or hybrid cloud environments.</li>
<li>Experience designing, operating, and troubleshooting networking architectures for large-scale Kubernetes platforms, including CNI implementations, ingress and egress traffic management, service-to-service communication, multi-cluster connectivity, and network observability.</li>
<li>Experience with Infrastructure-as-Code and GitOps technologies, including Terraform and ArgoCD or equivalent platforms.</li>
<li>Strong communication and leadership skills with the ability to effectively influence engineers, architects, senior leaders, and executive stakeholders.</li>
<li>Proven track record leading cross-organizational platform initiatives and influencing technical strategy across multiple engineering teams.</li>
<li>Experience implementing SRE practices, including SLOs, incident management, production readiness reviews, and operational excellence programs.</li>
<li>Strong software engineering experience with Go, Python, or similar programming languages used for automation and platform development.</li>
</ul>
Preferred Qualifications
 
<ul>
<li>Experience with migrating monolithic applications to a microservices architecture.</li>
<li>Knowledge of networking (i.e. switching, routing, wifi, IoT).</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 $231,400.00 to $331,800.00 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: 
$231,400.00 - $381,600.00
 
Non-Metro New York state& Washington state: 
$222,900.00 - $343,600.00
 <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.

Principal Engineer - Platform Engineering

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