Your role at DynatraceAbout the Role: Dynatrace is seeking a high-impact Telemetry Pipeline Specialist to serve as the business and technical evangelist for the next generation of data-driven Observability. This is a specialist role focused on the intersection of Bindplane, OpenTelemetry (OTel), and Enterprise Data Governance. You will partner with our Global Sales and Customer Success teams to help organizations navigate the complexities of data explosion in hybrid and AI-native environments, ensuring they achieve high-signal observability while maintaining absolute control over their telemetry costs and routing. Domain Expertise & Solution Leadership - Act as a subject matter expert in log management and observability - Stay current with OpenTelemetry, cloud logging, and pipelines - Lead proof of concepts and demonstrate technical value Competitive Strategy & Value Selling - Execute competitive displacement strategies - Build ROI and economic value cases - Position Dynatrace effectively in enterprise environments Technical Solution Guidance - Advise on telemetry pipelines (OpenTelemetry, Fluentd, Logstash) - Support Kubernetes, serverless, and cloud ecosystems - Optimize data routing and analytics strategies Customer Adoption & Growth - Drive platform adoption and usage - Deliver best practices and technical workshops - Improve consumption and customer outcomes Collaboration & Pipeline Development - Build pipeline through channels, events, and outbound - Collaborate cross-functionally with sales, engineering, and marketing - Maintain CRM accuracy and forecasting discipline What will help you succeedQualifications & Requirements: - Experience: 5+ years in sales or presales roles, with at least 3 years focused on log management, telemetry pipelines, or data streaming environments Domain Expertise: - Deep understanding of telemetry routing and edge processing (Bindplane, Fluent Bit, or similar) - Familiarity with cloud-native ecosystems (AWS, Azure, GCP, Kubernetes) and event streaming platforms (Kafka, Kinesis, Pub/Sub) - Sales Execution: Experience supporting complex enterprise sales cycles and influencing both technical and executive stakeholders; Ability to articulate “Data Gravity” and - “Ingest Economics” and translate them into executive-level value (CIO/CFO) - Competitive Knowledge: Familiarity with observability and pipeline competitors such as Splunk, Datadog, Elastic, or Cribl - Enablement: Ability to scale impact through field enablement, play development, and technical evangelism - Education: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience Preferred Skills - Experience with Cribl LogStream or Splunk Heavy Forwarders for displacement strategies. - Familiarity with FinOps principles (matching telemetry spend to business value). - Fluent in Portuguese Why you will love being a Dynatracer - Dynatrace is a leader in unified observability and security. - We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance. - Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances. - You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next— automatically. - Over 50% of the Fortune 100 companies are current customers of Dynatrace. Compensation and RewardsThe base salary range for this role is $128,000 - $160,000. When determining your salary, we consider your experience, skills, education, and work location. Our total compensation package includes unlimited personal time off, an employee stock purchase plan, and a reward system. We also offer medical/dental benefits, and a company matching 401(k) plan for retirement Equal Employment OpportunityDynatrace provides equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic. We actively foster an inclusive workplace that celebrates differences and promotes accessibility, collaboration, and growth for all.

Title: Data Center Controls Engineer, Global Data Centers Location: United States Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: Google's hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following: In-office locations: New York, NY, USA; Sunnyvale, CA, USA. Remote location(s): California, USA; New Jersey, USA; New York, USA. Minimum qualifications: - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related technical field. - 5 years of experience in controls engineering, automation, or systems integration within industrial or mission-critical environments. - Experience in BMS/EPMS architectures, including DDC (Direct Digital Control), PLC (Programmable Logic Controllers), VM (virtual machines), and Supervisory Control and Data Acquisition (SCADA) systems. Preferred qualifications: - Understanding of electrical and mechanical systems to facilitate effective cross-discipline collaboration. - Ability to trace a failure from a software dashboard back to a physical wiring or sensor issue in the field. - Ability to translate complex automation logic into clear instructions for field technicians and electrical contractors. - Ability to focus on "point-to-point" accuracy to ensure 100% data integrity for the facility’s monitoring systems. - Excellent verbal and written communication skills with the ability to navigate a complex matrix organization. About the job Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). Google is looking for a Controls or Systems Engineer with a mastery of Building Management Systems (BMS), Electrical Power Monitoring System (EPMS) and Industrial Control Systems (ICS) to execute and deliver the supply of third-party data center projects. As the primary on-site technical authority for automation, you will ensure that the "brains" of the facility—the integration of mechanical, electrical, and cooling systems—are installed and networked to perfection. You will serve as the Lead Technical Point of Contact (POC) for all BMS, EPMS, and PLC-related engineering questions during the construction phase, ensuring that the physical installation of sensors, controllers, and network architecture aligns with the logical design intent, enabling seamless system communication and operational visibility. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $144000 - $209000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities - Act as the definitive resource for the integrators and contractors to resolve ambiguities in sequence of operations (SOO), Intraocular Lenses (IOLs), and network topology diagrams. - Perform periodic site walk-throughs to verify the physical installation of end devices, including sensors, actuators, and meters, and witness on-site commissioning events to ensure SOO compliance with design intent. - Ensure that the field-installed hardware matches the programmed logic and identify discrepancies between design intent and actual field conditions to prevent commissioning delays. - Assist the controls contractor in troubleshooting wiring issues, addressing communication "blind spots," and verifying panel terminations. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

• Desenvolver pipelines de dados escaláveis utilizando AWS (S3, EMR, Redshift). • Atuar com processamento de dados em larga escala usando DBT, DuckDB e Spark. • Participar da construção de DAGs dinâmicas via Airflow e YAML. • Discutir requisitos com stakeholders e propor soluções técnicas. • Monitorar e garantir a qualidade dos pipelines e dados processados.

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. About the Role We’re seeking a Staff Software Engineer to strengthen our real estate MLS data platform squad. You will build robust data pipelines and backend services that power: • High-quality MLS and property data across 400+ feeds • Property discovery and search on agent websites • Personalized listing recommendations and other data-driven features • Conversational and operational AI agents that streamline internal workflows • The evaluation and monitoring infrastructure that keeps these systems improving over time This role sits at the intersection of backend engineering, data infrastructure, and AI-powered products. Who is the Data Platform Squad? We make sure clean, reliable MLS listing records and user click-stream data are always available to our products and customers. Our current team—a mix of data engineers and software engineers—owns the entire listing pipeline: ingestion, transformation, and normalization across 400+ MLS feeds and other sources. We also extend the platform to capture user-activity data for user-facing features such as personalized listing recommendations, and we build AI agents that automate feed onboarding and listing-issue triage, reducing manual effort for internal teams and clients and shortening the path from data to business impact. What You’ll Do Technical leadership & architecture • Own the end-to-end architecture for MLS and property data: streaming and batch pipelines, microservices, storage layers, and APIs • Design and evolve event-driven, Kafka-based data flows that power listing ingestion, enrichment, recommendations, and AI use cases • Drive technical design reviews, set engineering best practices, and make high-quality tradeoffs around reliability, performance, and cost Backend, data & platform engineering • Design, build, and operate backend services (Python or Java) that expose listing, property, and recommendation data via robust APIs and microservices • Implement scalable data processing with Spark or Flink on EMR (or similar), orchestrated via Airflow and running on Kubernetes where applicable • Champion observability (metrics, tracing, logging) and operational excellence (alerting, runbooks, SLOs, on-call participation) for data and backend services Streaming & batch data pipelines • Build and maintain high-volume, schema-evolving streaming and batch pipelines that ingest and normalize MLS and third-party data • Ensure data quality, lineage, and governance are built into the platform from the start—supporting analytics, AI/ML, and customer-facing features • Partner with analytics engineering and data science to make data discoverable and usable (e.g., semantic layers, documentation, self-service tooling) AI agents & data products • Collaborate with ML/AI engineers to design and scale AI agents that automate MLS feed onboarding, listing discrepancy triage, and other operational workflows • Work with frameworks such as PydanticAI, LangChain, or similar to integrate LLM-based agents into our data and service architecture • Help define and implement evaluation, logging, and feedback loops so these agents and data-driven products continuously improve Cross-functional impact & mentorship • Collaborate closely with Product, Engineering, and Operations to shape the roadmap for our data platform, MLS capabilities, and AI-powered experiences • Translate ambiguous business and customer problems into clear technical strategies and phased delivery plans • Mentor and unblock other engineers; elevate the overall level of technical decision-making on the team via pairing, reviews, and design guidance What You’ll Bring Experience & scope • 10+ years of professional software engineering experience, including owning production systems end-to-end • Significant experience working with data-intensive or distributed systems at scale (high volume, high availability) • Prior experience in a senior or staff/lead role where you influenced architecture, standards, and technical direction Core technical skills • Strong programming skills in Python or Java, with experience building microservices and APIs (REST/GraphQL) Hands-on experience with Apache Kafka or similar event/messaging platforms (Kinesis, Pub/Sub, etc.) • Deep experience with: ◦ Spark or Flink for large-scale data processing, across streaming and batch pipelines (on EMR or similar big-data compute) ◦ Airflow (or equivalent orchestration tools) ◦ Kubernetes for running data/compute workloads • Strong SQL and data modeling skills; solid understanding of ETL/ELT patterns, data warehousing concepts, and performance tuning • Experience building on AWS (preferred) or another major cloud provider, with a good grasp of cost, reliability, and security tradeoffs AI agent experience • Experience building or integrating AI agents into production workflows (e.g., internal tools, support automation, operational triage, or data workflows) • Familiarity with frameworks such as PydanticAI, LangGraph, Claude Code or similar, and how they interact with backend services, vector stores, and LLM APIs • Comfort working with logs, telemetry, and evaluation metrics to monitor, debug, and iteratively improve AI-driven systems Leadership & collaboration • Demonstrated ability to lead technical initiatives across teams, from idea to production (alignment, design, implementation, rollout) • Track record of mentoring other engineers and raising the bar on code quality, testing, and design • Strong communication skills; able to clearly explain complex technical decisions to both engineers and non-technical stakeholders • Customer and product mindset: you care about how the data and services you build improve the end-user and client experience, not just the internals Nice to Have • Experience with any of: ◦ Iceberg, Hive, or other table formats/data lake technologies ◦ Snowflake, Athena, Redshift, or other cloud data warehouses ◦ dbt or similar transformation frameworks ◦ Data quality / observability tools (e.g., Great Expectations, Monte Carlo, Datafold) ◦ Vector databases / retrieval (e.g., LanceDB, Pinecone, Elasticsearch/OpenSearch) • Background in real estate, marketplaces, or other domains where data quality and freshness are highly visible to customers • Prior experience in a startup or high-growth environment where you’ve built or significantly evolved a data platform Join us in shaping the future of real estate The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages. We're a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build game-changing products that empower modern real estate entrepreneurs to dominate their markets. From award-winning web design to agile SEO solutions to cutting-edge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition. Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row. We're backed by world-class investors, including Bessemer Venture Partners, NextEquity Partners, Toba Capital, and Switch Ventures, and have raised $89 million to date. More than 18,000 real estate businesses rely on our platform, including 30% of the Wall Street Journal RealTrends top agents and teams. Additionally, many of the industry's most powerful brokerages rely on Luxury Presence as a trusted business partner. Every year since 2020, Luxury Presence has ranked on BuiltIn's Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we've received several Tech100 Awards, and we just scored an Inman Innovation Award for Best AI-Powered Platform. Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.