Role Description - Design, Entwicklung und Optimierung von Machine-Learning- und Deep-Learning-Modellen - Konzeption, Implementierung und Optimierung von NLP-Lösungen, LLMs sowie RAG-Architekturen - Aufbau von Retrieval- und Knowledge-Layern für semantische Suche mit Embeddings sowie Vektor- oder Graph-Datenbanken - Aufbau, Deployment und Betrieb von ML- und GenAI-Services - Aufbau und Betrieb skalierbarer Datenpipelines Qualifications - Mindestens 7 Jahre Berufserfahrung als AI / ML / Data Engineer - Abgeschlossenes Studium der Informatik, Mathematik, Physik, Data Science oder vergleichbare Qualifikation - Mehrjährige Erfahrung mit Programmiersprachen wie Python - Fundierte Fachkenntnisse in der Entwicklung und Optimierung von Machine-Learning- und Deep-Learning-Modellen mit TensorFlow oder PyTorch - Umfassende Erfahrung in NLP sowie mit LLM- und RAG-Architekturen - Berufserfahrung im Aufbau von Retrieval- und Knowledge-Layern für semantische Suche mit Embeddings sowie Vektor- oder Graph-Datenbanken - Sehr gute Kenntnisse im Aufbau und Betrieb skalierbarer Datenpipelines mit Apache Spark oder SQL und ETL-Tools Benefits - Fixgehalt ab 80.000 € mit Gewinnbeteiligung bis zu 70.000 € - Flexible Arbeitszeiten und Remote-Arbeit - 30 Tage Urlaub - IT-Equipment wie Apple MacBook - Regelmäßige Teamevents - Corporate Benefits wie betriebliche Altersvorsorge, betriebliche Krankenversicherung, Shopping- und Mitarbeiterrabatte

Role Description As a Senior Software Engineer on the Data Platform team, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people. - Build highly reliable data services to integrate with dozens of blockchains. - Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time. - Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data. - Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability. - Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products. Qualifications - A Bachelor's degree (or equivalent) in Computer Science or a related field. - A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment. - Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL. - Versatility that spans the entire spectrum of data engineering in one or more of the following areas: - In-depth experience with data stores such as Iceberg, Trino, BigQuery, and StarRocks, and Citus. - Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, etc. - Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink. - Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog. - Proven ability in loading, querying, and transforming extensive datasets. Requirements - Build scalable engines to optimize routine scaling and maintenance tasks. - Enable tasks to be faster next time and reduce dependency on a single person. - Identify ways to compress timelines using the 80/20 principle. - Identify first version, a.k.a., "skateboards" for projects. Benefits - Remote-first and async friendly environment. - High level of personal ownership and accountability. - Close collaboration across teams and functions. - Creative problem solving and out-of-the-box thinking. - A pace that rewards urgency, adaptability, and outcomes. Company Description TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore.

Role Description Atlassian is looking for a Principal Data Engineer to join our Data Engineering Team and play a tech lead & architect role to build world-class data solutions and applications that power crucial business decisions throughout the organization. We are looking for an open-minded, structured thinker who is passionate about building systems at scale. You will enable a world-class engineering practice, drive the approach with which we use data, develop backend systems and data models to serve the needs of insights and play an active role in building Atlassian's data-driven culture. - Own the technical evolution of the data engineering capabilities and be responsible for ensuring solutions are being delivered incrementally, meeting outcomes, and promptly escalating risks and issues. - Establish a deep understanding of how things work in data engineering, use this to direct and coordinate the technical aspects of work across data engineering, and systematically improve productivity across the teams. - Maintain a high bar for operational data quality and proactively address performance, scale, complexity and security considerations. - Drive complex decisions that can impact the work in data engineering. Set the technical direction and balance customer and business needs with long-term maintainability & scale. - Understand and define the problem space, and architect solutions. Coordinate a team of engineers towards implementing them, unblocking them along the way if necessary. - Lead a team of data engineers through mentoring and coaching, work closely with the engineering manager, and provide consistent feedback to help them manage and grow the team. - Work with close counterparts in other departments as part of a multi-functional team, and build this culture in your team. Qualifications - You have 12+ years of experience in a Data Engineer role as an individual contributor. - You have at least 2 years of experience as a tech lead for a Data Engineering team. - You are an engineer with a track record of driving and delivering large (multi-person or multi-team) and complex efforts. - You are a great communicator and maintain many of the essential cross-team and cross-functional relationships necessary for the team's success. - Experience with building streaming pipelines with a micro-services architecture for low-latency analytics. - Experience working with varied forms of data infrastructure, including relational databases (e.g. SQL), Spark, and column stores (e.g. Redshift). - Experience building scalable data pipelines using Spark using Airflow scheduler/executor framework or similar scheduling tools. - Experience working in a technical environment with the latest technologies like AWS data services (Redshift, Athena, EMR) or similar Apache projects (Spark, Flink, Hive, or Kafka). - Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team. - Industry experience working with large-scale, high-performance data processing systems (batch and streaming) with a "Streaming First" mindset to drive Atlassian's business growth and improve the product experience. Benefits - Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. - Our offerings include health and wellbeing resources, paid volunteer days, and so much more. Company Description At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh.

Role Description We are looking for a highly experienced Senior Technical Lead for Data to lead engineering and architectural efforts supporting the design, development, and maintenance of large-scale enterprise data systems. The ideal candidate will have deep expertise in data systems architecture, cloud environments, and enterprise database products, with proven leadership managing high-availability mission-critical systems in federal environments. You will oversee engineering teams, manage risk, develop technical performance metrics, and ensure the stable, secure, and efficient operation of data systems integrated with Identity and Access Management (IAM) and cloud platforms. As the Senior Technical Lead for Data, you will serve as the authoritative technical voice for all data-related workstreams, translating complex business and mission requirements into scalable, secure, and compliant data architectures while directly mentoring and guiding a team of data engineers. Sitting at the intersection of data engineering, cloud architecture, data governance, and technical leadership, you will collaborate closely with IAM engineers, platform architects, data scientists, security teams, and program leadership to ensure the data platform is modern, resilient, and aligned with federal data governance mandates and Zero Trust principles. - Lead the design, development, evaluation, testing, and integration of organizational data systems infrastructure, including both hardware and software components. - Ensure all systems meet stability, integrity, and efficient operation requirements in accordance with approved specifications; verify systems are properly maintained and optimized once operational. - Provide technical support for acquisition documentation, milestone reviews, and key operational and test events throughout the program lifecycle. - Oversee the systems engineering team and all engineering activities supporting organizational data and information systems, including networked software and associated operating systems. - Execute and manage risk assessments, develop mitigation strategies, and plan cost, schedule, and execution plans for assigned projects. - Develop and review technical performance metrics to track and communicate system health, delivery progress, and operational readiness. - Plan, manage, and coordinate multiple concurrent tasks, each with strict deadlines across a large-scale, highly available system integrated with business-critical platforms. - Drive continuous improvements and optimizations to database systems, data encryption, storage, and retention strategies. - Collaborate with IAM engineers, platform architects, data scientists, security teams, and program leadership to ensure data solutions align with organizational goals, AWS GovCloud architecture, and IAM frameworks. - Support agile development teams by assessing how enhancements, defects, and other requests impact the architecture and performance of the application. - Demonstrate expert knowledge of recent technological advances in computer science and engineering to inform architectural decisions and modernization efforts. - Provide excellent written and verbal communication to stakeholders at all levels, including executive briefings, technical documentation, and team guidance. Qualifications - Minimum of 12 years with BS/BA or 16 years with a HS diploma/equivalent. - Minimum 10 years of experience in Information Technology supporting complex data systems. - 7+ years of experience working with IBM, Oracle, and cloud-based database products. - Training and certification (mandatory) in target ICAM database products preferred, especially Oracle and DB2. - Strong understanding of software development, enhancement, and maintenance lifecycles. - Demonstrated experience with the planning, management, leadership, and coordination of multiple concurrent tasks with strict deadlines for large-scale, highly available systems integrated with business-critical platforms. - Demonstrated expertise in data encryption, data storage, and retention policies in secure federal environments. - Proven ability to perform complex technical tasks in a highly secure environment. - Strong technical knowledge of IT systems, IAM, and AWS GovCloud services. - Experience with agile/scrum methodologies. - Expert knowledge of recent advances in computer science and engineering. - Must be able to obtain and maintain the required agency clearance. - Must be a US Citizen. Preferred Skills - Experience with federal IT programs, regulatory compliance, and federal acquisition documentation. - Familiarity with enterprise data governance and security frameworks (NIST, FISMA, FedRAMP). - Knowledge of cloud-native database and data warehousing technologies on AWS GovCloud. - Experience supporting ATO processes, System Security Plans (SSPs), and continuous monitoring activities. - Familiarity with Zero Trust Architecture principles and federal mandates (OMB M-22-09, EO 14028). Company Description Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Target Salary Range $135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.