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Job Description Who We Are At Moxxi, we're redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in performance marketing, ad tech, and digital publishing. Together, we're building the premier platform to incubate, scale, and optimize digitally born businesses, setting new standards for data-driven success. Our entrepreneurial team brings proven experience from both global corporations and fast-growing startups. We're passionate about delivering scalable, profitable outcomes for our partners through advanced profiling, targeting, and continuous optimization. Joining Moxxi means becoming part of a growing start-up in the heart of NYC, where you'll have the opportunity to accelerate your career, expand your skill set, and shape the future of performance marketing. The Role: As a Staff Software Engineer at Moxxi, you'll be a key driver in scaling our performance marketing platform and shaping the long-term technical vision of our ad delivery and optimization systems. You will lead complex initiatives across multiple domains from building resilient backend infrastructure and intelligent APIs to integrating ML driven campaign systems and rethinking marketer tooling. Operating as a senior individual contributor, you'll partner with cross-functional stakeholders, mentor other engineers, and make architecture decisions that define the future of Moxxi's core platform. You'll help us evolve our Ads infrastructure to support real-time personalization, performance tuning at scale, and rich experimentation frameworks. This role is ideal for engineers who enjoy solving deep technical challenges with direct business impact, who can bring clarity to ambiguity, and who are passionate about growing both systems and people. Responsibilities: • Architect, develop and maintain scalable and resilient backend systems powering our CMS, AdServer, CMS, CRM, and optimization pipelines., • Build reusable UI components and responsive interfaces that allow marketers to manage, launch, and analyze campaigns with ease., • Build high-performance APIs and services that integrate with internal platforms and external ad ecosystems., • Partner with the Account Managers and Operations team to productionize models that drive ad personalization, budget pacing, and bid optimization., • Design and evolve real-time and batch data pipelines that support campaign analytics, attribution, and experimentation at scale., • Lead cross-functional collaboration with product, design, and business teams to translate requirements into robust software solutions., • Ensure system observability, operational excellence, and uptime across critical infrastructure components., • Mentor junior engineers and contribute to a culture of clean, maintainable, and well-documented code., • Drive technical planning and contribute to the evolution of our platform strategy and long-term architectural vision., • Stay up to date with industry trends in advertising technology, distributed systems, and machine learning and bring relevant innovations into the team., • Take ownership of major initiatives and continuously identify opportunities to improve performance, scalability, and developer experience.Basic Qualifications, • 10+ years of professional experience designing and delivering production-grade software systems., • Proven success architecting distributed systems and backend services in high-scale environments., • Strong fluency in Go (Golang) and experience building services using microservice architectures., • Deep knowledge of APIs, cloud-native infrastructure (e.g. GCP, BigQuery, Cloud Run), and data engineering patterns., • Hands-on experience with real-time systems, streaming data (e.g. Pub/Sub, Kafka), and event-based architectures., • Passion for performance marketing, experimentation frameworks, and measurable impact., • Outstanding communication skills, including the ability to influence stakeholders and lead through ambiguity., • Experience in the AdTech ecosystem (e.g., RTB systems, campaign management, creative tooling)., • Prior ownership of infrastructure at scale, including observability, cost optimization, and compliance (e.g. GDPR, CCPA)., • Knowledge of caching systems (Redis, Memcached), Infrastructure as Code (Terraform), and container orchestration (Docker, Kubernetes)., • Exposure to non-relational databases (e.g., BigTable, DynamoDB) and caching systems such as Redis or Memcached.Nice to Have / Bonus Qualifications, • Master's degree in Computer Science, Engineering, or a related technical field., • Familiarity with Ads infrastructure standards, • Proficiency in TypeScript, with experience in frontend frameworks such as React or Angular, and building APIs or server-side logic with TypeScript (e.g., Node.js)., • Prior work on cost optimization, performance tuning, or infrastructure efficiency at scale., • Familiarity with AI/ML-powered ad optimizations, A/B testing frameworks, or campaign experimentation systems., • Demonstrated impact as a Staff, Principal, or Area Tech Lead in a fast-paced, product-focused company.Moxxi Values & Competencies, • Self-Starter – You take initiative and solve problems before they become problems., • Curious & Analytical – You ask why, dig deep into data, and experiment to learn what works., • Efficiency-Oriented – Fast, focused, and action-driven., • Relationship-Focused – You build trust and deliver value., • Organized Multitasker – You thrive in fast-paced, high-velocity environments., • Strategic Communicator – You translate performance into insight and insight into action.Salary Range$195,000—$270,000 USD

Job DescriptionSalary: $180,000 to $205,000 About NYSHEX NYSHEX is transforming the shipping industry through a unified digital infrastructure that connects shippers, carriers, and NVOCCs. Our mission is to solve the problem of contract fulfillment by combining reliability, automation, and transparency. As we scale, were embedding generative AI and intelligent automation across our engineering stackfrom developer productivity and testing to observability and security. Role Summary As a Staff Software Engineer at NYSHEX, you will be a senior technical leader who is hands-on with delivery, while influencing system architecture, design decisions, and team mentorship. You will balance deep technical contributions with strategic alignment across engineering, product, and platform initiatives - especially as we evolve into an AI-first engineering organization. This role is ideal for an experienced engineer who thrives in ownership, collaborative delivery, and is excited by the opportunity to pioneer the use of AI tools in software development, security, documentation, and product innovation. Located in One World Trade Center, NYC this is a hybrid role (In-office Monday through Wednesday) and reports to the CTO. Key Responsibilities Technical Leadership & AI-Augmented Execution Architect and implement complex systems with scalability, performance, and security in mind. Champion an AI-first approach across design, development, testing, and code reviews. Leverage GenAI tools like Cursor, GitHub Copilot, Amazon CodeWhisperer or ChatGPT CLI for boilerplate generation, code suggestions, documentation, and testing. Set and enforce engineering standards, including achieving 85% test coverage. System Design, Observability & Reliability Own critical system components and ensure adherence to clean code, modular patterns, and service reliability. Integrate observability tools (e.g., Datadog or New Relic with anomaly detection) to detect issues proactively. Lead incident response using incident summaries and LLM-enabled remediation paths. Delivery & Impact Deliver high-quality, tested, and well-documented software features on time and in full. Plan and estimate work collaboratively with product and engineering teams, using a strong understanding of technical tradeoffs. Identify and resolve tech debt, bottlenecks, and security vulnerabilities before deployment. Ensure instrumentation and alerting are in place to support continuous improvement. Mentorship & Technical Enablement Mentor other engineers through design reviews, pair programming, and AI-assisted collaboration. Guide responsible integration of GenAI into daily workflows (e.g., code gen, unit test generation, secure coding). Contribute to shared architectural decision records (ADRs) and technical documentation. Cross-Functional Collaboration Work closely with Product Managers, Data Science, and Platform teams to embed AI into customer-facing features and internal tools. Evaluate and introduce AI agents (e.g., Slack bots, GitHub automation) to accelerate engineering operations. Tech Stack Languages & Frameworks: Java (Spring), Python JavaScript/TypeScript (Next.js, Node.js) is a plus REST APIs Kafka GraphQL, PostgreSQL, Aurora Cloud & Infrastructure: AWS (EC2, S3, Lambda, SES, SNS, SQS, Step Functions, Kafka, etc.) Kubernetes, Docker AI Developer Productivity and Quality Tools: Cursor, GitHub Copilot, CodeWhisperer, ChatGPT CLI SonarQube (AI rulesets), CodeQL, DeepSource Snyk, AWS Inspector Monitoring & Observability: Datadog, New Relic, OpenTelemetry, CloudWatch CI/CD & Automation: GitHub Actions, AI-generated tests and release steps Terraform / AWS CDK Key Performance Indicators (KPIs) AI-Enabled Software Development Productivity: 50% of PRs use AI-assisted tooling Code Quality: 85% test coverage and secure code practices Delivery: Consistent on-time, in-full delivery of key product features System Reliability: 99.95% uptime for owned services Mentorship Impact: Regular contribution to team enablement and tooling adoption Required Qualifications 8+ years of professional experience building scalable, distributed systems Strong knowledge of backend service architecture, event-driven design, and microservices Hands-on experience with GenAI tools and integrating AI into engineering workflows Excellent communication and mentorship skills Experience with cloud-native development (preferably AWS), CI/CD pipelines, and observability tooling Preferred Qualifications Experience with LLM integration (OpenAI, Bedrock, Anthropic) Exposure to prompt engineering and model lifecycle workflows Familiarity with security best practices (e.g., OWASP Top 10, OAuth, SAML) SaaS product experience with a focus on performance, observability, and automation Contributions to open-source or AI/DevEx tooling communities What We Offer Forward-thinking, AI-first engineering culture Unlimited PTO and flexible hybrid schedule Health, mental wellness, and family planning benefits Annual team offsites and internal AI demo days Opportunities to lead architecture, AI strategy, and engineer enablement

Job Description Basic Qualifications Experience in programming with Java, Python or any other Object-oriented programming language Preferred Qualifications Experience with Scala Programming language or experience with functional programming Experience with AWS technologies and cloud infrastructure Experience integrating media players into web applications Solid understanding of web accessibility fundamentals. Strong knowledge of web standards and new technologies. Understanding of async programming models (events, callbacks, promises, async/await) and threading/concurrency Understanding of source control concepts and systems, CI/CD pipelines and exposure to Git Experience with build and deployment technologies such as Jenkins and Docker. Experience with messaging technologies (e.g., Kafka, Kinesis, SQS, etc.) Required Education BS degree in Computer Science or related software engineering. Required Citizenship / Work Permit / Visa Status Any, no OPT Must-Haves Java + Python (+Scala will be great) CI/CD and Jenkins

Job Description Vortexa was founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole. The Challenge Ingesting data from multiple external vastly different sources at hundreds of rich data points per second, moving terabytes of data while processing it in real-time, running complex and complicated prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution used by customers around the globe is no small feat of science and engineering. This processing requires a highly reliable, stable, fault-tolerant infrastructure that can withstand multiple and varied uses and abuses by data analysts, data scientists, industry experts, and the end-users. Fast product iteration cycles necessitate a platform that allows engineers to deploy frequently, independently, and without in-depth knowledge of infrastructure complexities. The Data Services Team is responsible for the developer platform, and the impressive Amazon AWS estate Vortexa uses to achieve its purpose. This includes two major areas of concern: infrastructure availability, security and costs, as well as developer experience. We use a wide variety of technologies like Kubernetes, Kubevela, Golang, Kafka, Opensearch, Airflow, Athena, and others. You will be a key member of the small, globally distributed team, instrumental in assessing current technologies, delivering the best possible engineering experience with the shortest development iterations, helping crystallise, converge and standardise technology stacks and implementing the infrastructure roadmap, ensuring 100% uptime, availability, and fault-tolerance of every component of the platform, while optimising AWS costs. You will provide your customers such as data analysts, data scientists, and other engineers with a delightful developer experience tooling boosting their productivity, and allowing them to concentrate on business logic. You will codify and automate any operational knowledge gathered so that R&D can focus purely on creating value for our customers. Requirements You Are: • Determined to create infrastructure that gets out of the way with a great developer experience, • Excellent at troubleshooting unfamiliar code., • Striving to be more skilled than Google with Kubernetes, • An AWS power user and evangelist, • Familiar with Apache Kafka and Kafka Streams – deployment, monitoring, resiliency, fault-tolerance, cluster planning and operations, applications debugging, • Experienced with ElasticSearch operations and usage, • Fluent in Terraform, and Go, • Familiar with cloud-native application design and deployment, • Not afraid of challenges and infrastructure troubleshooting, • A “can-do” person – “I’ve done my bit” has no place at VortexaAwesome If You:, • Are familiar with Airflow or other workflow orchestration tools, • Stock-options in a fast-growing, high-potential business, • A vibrant and diverse workplace, • An open, collaborative, and supportive working culture built on merit, which celebrates creative thinking and “getting things done.”, • The opportunity to work with AI-driven technology in a scale-up environment with commodity trading experts, • 401k with up to 2% contributions matched by Vortexa, • Private Health Insurance offered via Blue Cross Shield, • Dental and Vision cover offered via Guardian, • Global Volunteering Policy to help you ‘do good’ and feel better

Job DescriptionWe are redefining how restaurant operations work—bringing together cutting-edge LLMs, agentic AI, and real-time forecasting to create the next generation of restaurant management technology.& Founded by Steve Ells, the visionary behind Chipotle, we’re building an entirely new restaurant operating system from scratch—eliminating outdated legacy tools like Toast and R365.& This platform combines AI-driven automation, intuitive natural-language interfaces, and real-time operational intelligence to dramatically reduce complexity for restaurant operators.& IndustryFood Beverages& The Staff Backend Engineer has/is: • A senior/staff-level backend engineer (8+ years experience) to& own backend architecture& for a next-gen restaurant OS., • Expertise in& scalable cloud systems on AWS& (Aurora, DynamoDB, Kafka, etc.)., • Experience building& microservices and real-time systems& for things like forecasting, scheduling, and kitchen orchestration., • Hands-on experience integrating& LLMs and agentic AI& into production systems., • Ability to design for& fast iteration& today and& SaaS scalability& tomorrow., • Strong technical leadership, including& mentorship and architectural vision., • You’ll build the tech foundation that could& replace legacy systems like Toast/Olo. Equity: Meaningful ownership in the company On-site, Flexible: Work in NYC with direct access to the restaurant testbed Benefits: Full health and dental insurance

Job Description LOCATION: Remote - but able to work EST hours and within 60 miles of the below locations • Draper, UT - 12921 Vista Station Blvd, Suite 100, • Columbus, OH - 3095 Loyalty Circle, • Plano, TX - 7500 Dallas Parkway Suite 700, • Chadds Ford, PA - 5 Hillman Drive, Suite 102, • Wilmington, DE - One Righter Pkwy., Suite 100, • NYC (Manhattan)- 156 5th Avenue Floor 2 Must-Haves: • Kafka & Confluent Cloud Expertise • Deep understanding of Kafka architecture and Confluent Cloud services., • Experience with Kafka Connect, Schema Registry, and stream processing. 2. AWS Infrastructure & Database Management • Hands-on experience with AWS services like RDS, Aurora, EC2, IAM, and networking., • Ability to integrate Kafka with AWS-hosted databases and troubleshoot cloud-native issues. 3. Terraform & Infrastructure Automation • Proficiency in Terraform for provisioning Kafka clusters, AWS resources, and managing infrastructure as code., • Familiarity with GitOps workflows and CI/CD pipelines. • Degree Requirements (Experience in Lieu of Degree): 1. Monitoring & Observability • Experience with tools like Prometheus, Grafana, Datadog, or Confluent Metrics API., • Ability to set up alerting and dashboards for Kafka and cloud services. 2. Security & Governance • Knowledge of RBAC, encryption, and audit logging in Confluent Cloud and AWS., • Experience implementing secure data pipelines and compliance controls. 3. Strong Collaboration & Incident Response • Ability to work cross-functionally with data engineers, SREs, and developers., • Skilled in communicating during outages, postmortems, and planning sessions. Job Responsibilities/Details: The Kafka Platform Engineer designs, implements, and supports scalable, secure Kafka-based messaging pipelines that power real-time communication between critical systems such as credit, loan applications, and fraud services. This role focuses on improving the resiliency, reliability, and operations of our Kafka platform in a highly regulated financial environment. The Kafka Platform Engineer partners closely with engineering and platform teams to support the migration from on-prem to AWS and ensure seamless integration across systems. Essential Job Functions • Regularly check cloud services for performance issues and recency and optimize as needed. Configure and manage user permissions and roles to ensure secure access to cloud resources. Develop and maintain backup strategies to ensure data integrity and availability. Maintain detailed records of system configurations and changes for compliance and troubleshooting. - (25%), • Write and maintain scripts for automated deployment processes. Ensure automated tests are part of the CI/CD pipeline to catch issues early. Track deployment progress and resolve any issues that arise during the process. Work closely with developers to ensure smooth integration of new code into production. Continuously improve deployment processes to reduce downtime and increase efficiency. - (25%), • Set up and configure tools to monitor cloud infrastructure and applications. Develop dashboards for real-time monitoring and set up alerts for critical issues. Regularly review monitoring data to identify trends and potential issues. Provide regular reports on system performance and health to stakeholders. Continuously improve monitoring solutions to cover new services and technologies. - (20%), • Organize meetings to gather requirements from various teams for cloud projects. Ensure alignment between development, network, and security teams on cloud initiatives. Mediate and resolve any conflicts or discrepancies in requirements or priorities. Keep detailed records of discussions and decisions made during meetings. Ensure that all agreed-upon actions are completed in a timely manner. - (15%), • Regularly review resource usage to identify areas for optimization. Predict future resource requirements based on current trends and business growth. Create plans for scaling resources up or down based on demand. Ensure that resources are allocated efficiently to avoid waste and reduce costs. Continuously review and adjust capacity plans to reflect changes in business needs or technology. - (15%) Top Priorities: First Few Months 1. Stabilize & Optimize Kafka Infrastructure • Address any performance bottlenecks or reliability issues., • Tune configurations for throughput, replication, and retention., • Ensure Terraform modules are clean, reusable, and version-controlled. 2. Improve Automation & Observability • Enhance Terraform automation for Kafka and AWS provisioning., • Set up or refine dashboards and alerts for Kafka health and data pipeline performance. 3. Collaborate & Enable Teams • Work with data engineers and developers to onboard new use cases., • Provide guidance on schema evolution, topic design, and connector usage., • Participate in sprint planning and contribute to long-term platform strategy.

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.The Role: The Machine Learning Platform team is responsible for building the core components necessary to support and accelerate the full machine learning lifecycle. In this role, you will work closely with ML Engineers and Data Scientists as well as the Data Platform and Backend Engineering teams to maximize the impact of ML. At Gametime, the modeling teams are expected to work full-stack and end-to-end. This requires reliable, powerful infrastructure and abstractions provided by the Machine Learning Platform team. This is an opportunity to join as a founding member of the team and help shape its future direction. Above & Beyond: The Impact You'll Make: • Collaborate with Machine Learning Engineers and Data Scientists to understand their platform needs and translate them into powerful, generalized solutions, • Own existing platform systems and develop the next generation of tools (e.g. training platform, feature platform, inference platform), • Architect a platform that boosts overall model iteration speed and allows Machine Learning Engineers and Data Scientists to work in a self-serve manner, • Improve the reliability around all components of an ML platform capable of powering critical product features used by millions of users Always Be Curious: Skills You've Learned Along The Way:Technical Skills: • Proven track record in designing and implementing mission-critical, high-reliability systems with rapid deployment, • Outstanding programming proficiency, with particular expertise in Python, • Strong working knowledge of AWS or equivalent cloud platforms, • Hands-on experience with industry-standard tools and technologies (e.g., Kafka, Docker, gRPC, DynamoDB, Redis, Temporal, Snowflake, Airflow, SQL), • Keen interest in machine learning and its associated technologies (such as PyTorch, Scikit-Learn, XGBoost, Jupyter), preferably with some practical experienceInterpersonal Skills:, • Ability to collaborate effectively across teams and communicate with key stakeholdersProblem-Solving and Decision-Making:, • A proactive self-starter with a strong ability to learn quickly and work independently, demonstrating the desire and readiness to manage an increasing level of responsibility One Team, One Dream: What We Need To Work Together: • Experience: 5+ years of industry experiencePreferred Qualifications:

Job Description#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Senior or Staff Software Engineer at Nextdoor, you'll join a focused team of developers, product managers, and designers who are passionate about using technology to cultivate a kinder world where everyone has a neighbor they can rely on. We are a small, high performing team of engineers that wear multiple hats and prioritize impact for our customers. We care about moving fast and delivering impact, without compromising on quality and reliability as guided by our Engineering Principles. You will have the opportunity to learn from your co-workers and teach them. As a team, we will make each other better and build great software. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees. The Impact You'll Make We believe in empowering our teams to own all aspects of bringing Nextdoor to life. As such, you'll get the opportunity to make key contributions across our engineering stack - this includes developing and improving frameworks across our backend services, in addition to making direct contributions to your team's product area. In addition to writing code, you'll help define the features that we build, through collaboration internally with product managers, data scientists, and other engineering leaders. We believe engineers should have a stake over all aspects of the product - from coming up with the next big ideas to build, through helping set expectations and plan roadmaps, all the way through understanding the impact of new features through rigorous data analysis. As your career at Nextdoor develops, you'll also get the chance to grow your role towards what you're most passionate about. Your responsibilities will include: • Backend development in a variety of languages/frameworks including:, • Python/Django, • Kotlin / JVM, • Go, • SQL, • GraphQL, • Redis, • Postgres, • Kafka, • AWS, • Mentoring a team of talented engineers designing and building the next generation of Nextdoor, • Collaborating with product management, data science, and design to ensure we build the right things to maximize impact on neighbors, • Working with engineers in Toronto, New York, San Francisco and beyond, • Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises, • Build in-person relationships with team members and contribute to Nextdoor's company cultureWhat You'll Bring To The Team, • 6+ years of experience as a Software Engineer and a Bachelor's degree in Computer Science, or equivalent work experience, • High-initiative leader who can drive technical vision to enable the rapid iteration of Nextdoor's product, • Strong coding and debugging abilities across multiple systems and domains, • Experience designing, building and deploying flexible backend systems at scale The starting salary for this role is expected to range from $153,000 to $230,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography. We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date. Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here. #LI-Hybrid

Job Description Who We Are At Moxxi, we're redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in performance marketing, ad tech, and digital publishing. Together, we're building the premier platform to incubate, scale, and optimize digitally born businesses, setting new standards for data-driven success. Our entrepreneurial team brings proven experience from both global corporations and fast-growing startups. We're passionate about delivering scalable, profitable outcomes for our partners through advanced profiling, targeting, and continuous optimization. Joining Moxxi means becoming part of a growing start-up in the heart of NYC, where you'll have the opportunity to accelerate your career, expand your skill set, and shape the future of performance marketing. The Role: As a Senior Software Engineer at Moxxi, you'll play a critical role in building the platforms and tools that power our performance marketing engine. From designing intuitive interfaces in our CMS and CRM to scaling backend systems for real time ad delivery and A -driven optimizations, you'll operate across the stack to bring ideas to life. You'll be hands-on with data, APIs, UI components, and machine learning integrations collaborating closely with cross functional teams to solve meaningful business problems through code. If you're passionate about performance, experimentation, and building high impact products in a fast paced environment, this role is for you. Responsibilities • Architect, develop, and maintain scalable and resilient backend systems powering our CMS, AdServer, CMS, CRM, and optimization pipelines., • Build reusable UI components and responsive interfaces that allow marketers to manage, launch, and analyze campaigns with ease., • Build high performance APIs and services that integrate with internal platforms and external ad ecosystems., • Partner with the Account Managers and Operations team to productionize models that drive ad personalization, budget pacing, and bid optimization., • Design and evolve real time and batch data pipelines that support campaign analytics, attribution, and experimentation at scale., • Lead cross functional collaboration with product, design, and business teams to translate requirements into robust software solutions., • Ensure system observability, operational excellence, and uptime across critical infrastructure components., • Mentor junior engineers and contribute to a culture of clean, maintainable, and well-documented code., • Drive technical planning and contribute to the evolution of our platform strategy and long-term architectural vision., • Stay up to date with industry trends in advertising technology, distributed systems, and machine learning and bring relevant innovations into the team., • Take ownership of major initiatives and continuously identify opportunities to improve performance, scalability, and developer experience.Basic Qualifications, • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience., • 7+ years of professional experience building and maintaining production-grade software systems, including significant experience in full-stack development., • Deep experience writing scalable backend services in Go, ideally within microservice-based architectures., • Proficiency in TypeScript, with experience in frontend frameworks such as React or Angular, and building APIs or server-side logic with TypeScript (e.g., Node.js)., • Experience designing and integrating RESTful APIs and working with distributed systems., • Familiarity with cloud-native development using Google Cloud Platform (GCP) services, particularly BigQuery and Cloud Run., • Understanding of software engineering fundamentals including system design, data structures, and algorithms., • Strong attention to detail, debugging, and performance optimization skills across the stack., • Excellent communication and collaboration skills; able to work effectively with cross-functional teams, including product, data, and design., • A self-starter mindset with a passion for shipping features, solving real-world business problems, and continuously improving engineering practices.Nice to Have / Bonus Qualifications, • Master's degree in Computer Science, Engineering, or a related technical field., • Experience in the AdTech industry, especially with ad serving, real-time bidding systems, or content management platforms (CMS), • Familiarity with Ads infrastructure standards, • Hands-on experience with data streaming technologies like Apache Kafka, Pub/Sub, or Kinesis., • Knowledge of infrastructure as code tools like Terraform and container orchestration systems like Docker and Kubernetes., • Exposure to non-relational databases (e.g., BigTable, DynamoDB) and caching systems such as Redis or Memcached., • Prior work on cost optimization, performance tuning, or infrastructure efficiency at scale., • Familiarity with AI/ML-powered ad optimizations, A/B testing frameworks, or campaign experimentation systems., • Self-Starter – You take initiative and solve problems before they become problems., • Curious & Analytical – You ask why, dig deep into data, and experiment to learn what works., • Efficiency-Oriented – Fast, focused, and action-driven., • Relationship-Focused – You build trust and deliver value., • Organized Multitasker – You thrive in fast-paced, high-velocity environments., • Strategic Communicator – You translate performance into insight and insight into action. Salary Range: $175,000 - $225,000 + equity Salary Range$175,000—$225,000 USD

Job Description About the Role We are looking for a motivated Software Engineer to join our engineering team. This role is ideal for someone eager to learn, grow, and contribute to real-world projects in a collaborative, fast-paced environment. You will work closely with senior engineers and your manager to design, build, and debug software systems while developing full-stack skills across backend, frontend, and data technologies. What You’ll Do * Contribute to the design, development, and testing of software components and features under the guidance of senior engineers. * Collaborate with your team to troubleshoot, debug, and resolve issues using centralized logging and monitoring tools. * Write clean, maintainable, and testable code across multiple layers of the stack. * Learn and apply best practices in Agile software development, including code reviews, unit testing, and CI/CD processes. * Work with engineers and product teams to design SQL queries and analyze data effectively. * Document processes, designs, and learnings to help build a strong engineering knowledge base. Technologies You May Work With (Experience with all of these is not required—interest and willingness to learn is key) * Languages: Python, Golang, Java, JavaScript * Frameworks & Frontend: React or modern frontend frameworks * Databases: SQL, Neo4j (Cypher queries) * Messaging & Streaming: Apache Kafka and related technologies * Infrastructure: Linux environments, CI/CD pipelines, centralized logging systems About You * 2-4 years of professional software engineering experience, or relevant internship/personal project work. * Strong interest in full stack development (frontend + backend). * Experience with at least one programming language (Python, Golang, Java, or JavaScript). * Experience with React, ES6, or other modern frontend frameworks. * Basic understanding of SQL and ability to write queries. * Familiarity with debugging techniques and a curiosity to learn new tools and technologies. * Excellent communication skills—able to explain technical concepts clearly and work well in a team. * Proactive learner who thrives in a collaborative, evolving environment. Nice to Have * Exposure to Kafka, graph databases (Neo4j), or cloud platforms (AWS). * Knowledge of Agile workflows (Scrum/Kanban). * Familiarity with Git/GitHub workflows and CI/CD tools (Jenkins). Why Join Us * Opportunity to work on impactful, modern software systems that power marketing and technology solutions. * Mentorship from experienced engineers with room for growth. * A collaborative and supportive team culture where your contributions matter. * Flexible and dynamic work environment that encourages innovation and learning. This role is a great fit for someone early in their career who is passionate about technology, eager to learn, and excited to grow into a well-rounded full stack engineer. About Us Unified stands at the forefront of empowering marketers to make informed and impactful decisions through our industry-exclusive business intelligence platform, purposefully designed for social advertising. With a wealth of experience in collecting and enriching over 3 billion dollars of social investment data, we are fervently committed to providing Fortune 2000 brands and agencies with greater transparency into their diverse teams, tools, and strategies. At the heart of our offerings is the Unified Platform and service teams, meticulously crafted to ensure data quality, optimize investments, and address critical business inquiries. As a leading provider of advertising services, Unified takes a comprehensive approach to paid social advertising, boasting a best-in-class team of digital experts utilizing purpose-built technology to deliver operational excellence and holistic insights across major social platforms. We firmly believe that the best marketing insights drive optimal performance, and at Unified, we seamlessly deliver both. With industry-leading media experts supported by robust data and technology, we have over a decade of experience in managed service partnerships with some of the world's largest brands, maintaining an unwavering focus on digital advertising services and technology. Our proprietary technology provides our internal team and customers with a strategic and holistic real-time view of their digital investments. Pioneering paid social over 11 years ago, Unified holds a unique position as one of the select partners with direct API access to major platforms such as Meta, X, Snapchat, Pinterest, YouTube, LinkedIn, TikTok, and Reddit. Join Unified as we continue to redefine the landscape of digital advertising through innovation, expertise, and cutting-edge technology.

Job Description#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors At Nextdoor, Cloud Engineers are responsible for building, deploying, managing, and securing the underlying cloud-based architecture that powers communities on the Nextdoor platform worldwide. These engineers have designed, built and implemented a globally scalable container and "serverless" based infrastructure that serves billions of requests a day, millions of active users, and hundreds of developers. We build infrastructure and tooling that is iterable, scalable, and secure. We write everything in code from network infrastructure to server management, database provisioning, and data pipelines. Recently we have focused on scaling up our Kubernetes infrastructure. We created a dedicated management cluster to run ArgoCD, Loki, Prometheus, and Grafana. Additionally, we have created a second Kubernetes cluster for Nextdoor applications to ensure we can scale beyond the limitations of a single cluster. This will ensure Nextdoor's infrastructure is able to scale for many years to come. Additionally our team has focused efforts to modernize our Infrastructure as Code (IaC) by leveraging CDK to manage our AWS resources and Pulumi to manage our other core infrastructure systems such as PagerDuty, Datadog, and Sentry. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees. The Impact You'll Make You will be responsible for building an efficient and scalable container and serverless computing environment for our product developers. In this team you will work in the ways of reliability engineering, design scalable systems from the ground up, and generally build systems that never page you. You serve all of our engineering teams by providing them with reliable and scalable infrastructure. Here are just some of our team's most recent deliverables: • Operationalizing a second Kubernetes cluster to ensure Nextdoor can continue to scale beyond the limits of a single Kubernetes cluster, • Building automation for our developer's workflows including applying 3rd party dependency updates automatically as well as distributing Helm chart updates, • Modernizing our Infrastructure as Code (IaC) by leveraging CDK and Pulumi, • Optimizing our Kubernetes resource management by leveraging Spot Ocean and Karpenter, • Providing self-service infrastructure-as-code systems to developers that automate the full lifecycle of managing, deploying and operating cloud services including blob/block storage, relational databases, key-value databases, caches and document search services, • Developing tooling for horizontally and vertically autoscaling our developers compute workloads, • Providing upstream open source patches to well known community projects like AWS Bottlerocket, the Istio Service Mesh, Keiko IAM Manager, Kyverno, Strimzi.io's Kafka Operator and more!What You'll Bring to The Team, • 7+ years experience in a DevOps or Cloud role, • Solid understanding of Kubernetes (k8s), • Experience using TypeScript, • Experience with infrastructure as code (CDK, Pulumi, CloudFormation, Puppet, Salt, Ansible, Terraform, Packer), • Thorough understanding of Linux and networking protocols (TCP/IP, UDP, HTTP/S, eBPF), • Strong debugging and performance tuning skills using software like gdb, perf, strace, ltrace, tcpdump, Wireshark, etc., • Experience with performance, automation, monitoring, and capacity planning, • Experience automating configuration and bootstrapping of Linux systems, • Eagerness to explore and apply AI and emerging technologies to reimagine how work gets doneBonus Points, • Experience using Docker or other containerization software, • Linux certifications such as Linux+, Network+, RHCSA/RHCE/RHCA or similar The starting salary for this role is expected to range from $187,000 to $238,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.

Job DescriptionAbout CookUnity Food has lost its soul to modern convenience. And with it, has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. The Role We are seeking a Staff AI Engineer, Agent Orchestration to lead the development of next-generation agentic systems that infuse Generative AI into every layer of the software delivery lifecycle. This is a hybrid role that blends full-stack engineering (Kotlin + TypeScript) with LLM systems design, focused on transforming developer workflows, CI/CD pipelines, observability, and runtime operations through AI-native automation. As a technical spearheader, you will be responsible for architecting and scaling intelligent developer tools, copilots, and runtime agents that extend far beyond prompt engineering—enabling an accelerated, self-healing, and insight-driven engineering ecosystem. Responsibilities • Architect and deliver full-stack GenAI-integrated systems, leveraging Kotlin (Ktor/Spring), Python, React/TypeScript, and AWS tooling., • Operationalize LLMs and agent frameworks to automate SDLC stages: from requirements parsing and code generation to test synthesis, deployment validations, and post-deploy analytics., • Develop multi-agent orchestration patterns (e.g., tool use, planning, memory) across backend and frontend development flows., • Embed GenAI-driven workflows into developer tooling: Full Test Driven Development cycle, PR summarization, AI-assisted code reviews, and contextual documentation retrieval., • Extend CI/CD systems with LLM-based capabilities: dependency change impact prediction, and build-time telemetry analysis., • Instrument systems with DataDog and AI-native observability: anomaly detection, root cause localization, and natural language log exploration., • Partner cross-functionally with product, infra, and data teams to identify and prioritize AI-native engineering opportunities., • Scout, evaluate, and hands-on integrate cutting-edge GenAI frameworks and developer tooling—bringing innovative capabilities into our stack to radically streamline coding, testing, and deployment workflows., • Contribute to engineering-wide technical direction through architecture reviews, RFCs, and mentorship.Requirements, • 7+ years of designing and building distributed back-end services in Kotlin (or Java) and modern TypeScript-based front-ends (React/Next.js)., • Ability to ship robust, production-grade Python code—owning everything from design and performance tuning to deployment., • Proven track record shipping LLM/GenAI features to production, with experience across the lifecycle: prompt engineering, fine-tuning, latency optimization, evaluation, and safety alignment., • Deep fluency with modern software delivery practices: test strategy, blue-green and canary deployments, observability, and rollback mechanisms., • Demonstrated experience driving adoption of automated testing strategies (TDD/BDD) and CI/CD best practices., • Strong written and verbal communication skills; ability to synthesize complex trade-offs for both technical and cross-functional stakeholders.Preferred requirements:, • Strong full-stack development experience with Kotlin and React., • Experience building and deploying multi-agent LLM systems with memory, reasoning, or dynamic planning., • Familiarity with RAG pipelines, vector search, embeddings, and semantic caching., • Prior experience in a high-growth, product-centric startup environment.Where You'll Be:, • We offer you the flexibility to work where you work best!, • This team operates within the Eastern Standard time zone for collaboration.Responsibilities:, • Leadership & Team Management:, • Lead, mentor, and develop a cross-functional AI/ML team, including data engineers and embedded data engineers., • Foster a community-driven culture that encourages knowledge sharing, collaboration, and continuous learning., • Align team objectives with broader company goals, ensuring that projects are executed effectively and efficiently., • AI/ML Strategy & Implementation:, • Drive the development of scalable AI/ML solutions that support both operational and strategic goals at CookUnity., • Develop and implement machine learning models that improve customer personalization, operational efficiency, and data-driven decision-making., • Lead the integration and adoption of Large Language Models (LLMs) and Generative AI (GenAI) to enhance product features, improve customer experience, and accelerate business growth., • Stay at the forefront of emerging AI/ML technologies, including LLMs and GenAI, and apply relevant innovations to solve complex problems., • Data Infrastructure & Architecture:, • Oversee the architecture of CookUnity's data pipelines, ensuring they are robust, scalable, and efficient to support machine learning, analytics, and GenAI model deployments., • Manage the end-to-end lifecycle of data processing, including ingestion, storage, transformation, and analytics., • Collaborate with the infrastructure team to ensure data platforms are optimized for performance, reliability, and security., • Collaboration & Cross-Functional Partnerships:, • Work closely with product, engineering, and business teams to understand their data needs and deliver impactful solutions., • Drive the integration of embedded data engineering into core product development cycles., • Engage with senior leadership to align AI/ML strategies with broader company initiatives and business outcomes., • Community & Knowledge Sharing:, • Establish and nurture a community of AI/ML experts across CookUnity to share best practices, solve challenges, and promote innovation., • Spearhead internal forums, workshops, and seminars to accelerate the adoption of LLMs and GenAI, ensuring that team members are up to speed with new technologies and trends., • Foster a culture of continuous learning and ensure the team is equipped to leverage the latest advancements in AI/ML., • Reporting & Analytics:, • Define and implement key performance indicators (KPIs) to track the success of AI/ML and GenAI solutions., • Present regular updates to the executive team, including the CTO, on project progress, challenges, and opportunities related to AI/ML and GenAI adoption.Qualifications:, • 10+ years of experience in AI/ML, data engineering, or related fields, with at least 3 years in a leadership role., • Proven experience leading cross-functional teams in an agile environment, with a strong ability to balance technical execution and strategic vision., • Expertise in machine learning algorithms, data pipelines, and AI/ML model deployment at scale., • Solid understanding of Large Language Models (LLMs) and Generative AI (GenAI), and how to integrate these technologies into business operations., • Strong understanding of cloud technologies (AWS, GCP, Azure) and modern data stack solutions (e.g., Apache Kafka, Snowflake, Redshift)., • Deep knowledge of data engineering best practices, including ETL processes, data warehousing, and data governance., • Strong communication skills, with the ability to clearly convey complex technical concepts to both technical and non-technical stakeholders., • Ability to drive change, inspire innovation, and foster a collaborative and results-driven team environment.Preferred requirements:, • Experience with embedded data engineering, working closely with product development teams., • Familiarity with data privacy and security regulations (e.g., GDPR, CCPA). We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits 🩺 Health Insurance coverage 🌅 401k Plan 📈 We grow, you grow: Stock Options Plan granted on Day 1 🌟 Eligible for a bi-annual performance bonus ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$180,000—$200,000 USD If you're interested in this role, please submit your application and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.