Role Description ASRC Federal is seeking an ETL (Extract Transform Load) Developer to work with our IT Team in support of our contract in support of the Drug Enforcement Agency's Diversion Control Division. - Shall formulate and define scope and objectives. - Shall devise or modify procedures to solve complex problems considering computer equipment capacity and limitations, operating time, and form of desired results. - Shall prepare detailed specifications from which programs will be written and shall design, code, test, debug, and document those programs. - Shall be competent to work at the highest technical level of all phases of applications systems analysis and programming activities. Qualifications - A BS/BA in Engineering, Physics, Computer Science, Information Technology, Mathematics or equivalent, and at least four (4) years’ experience in the field. - Eight (8) years of related experience is equivalent to a BS/BA in Engineering, Physics, Computer Science, Information Technology, Mathematics or related discipline. - Strong understanding of Data warehousing techniques and Star/Snowflake models. Requirements - Must have experience with AWS Glue, Data Catalog, Kafka, AWS Lambda, Python, Oracle SQL and Snowflake. - Must have experience with Data Transformation and Data Integration. - Must have high level of expertise in writing SQL queries on Oracle and Snowflake. - Experienced with orchestrating event trigger with AWS Lambda or Python to trigger workflows and process. - Experienced with streaming of data with Kafka and reporting, analyzing and error correction with streams. - Experience maintaining bookmarks to maintain the state of information/Data. - Utilizing AWS Glue Data quality to evaluate, monitor and enforce data integrity across pipelines. - Experience managing AWS Glue Data Catalog to store, discover and maintain metadata. - Experience in building and maintaining data pipelines with AWS Glue. - Experience with building and maintaining AWS Data Lake in S3. - Experience with tuning data processing units and configuring workers. - Candidate must be approved through the DEA’s Background Investigation process for a Public Trust clearance. Benefits - Competitive pay and benefits packages. - Health care, dental, vision, life insurance. - 401(k). - Education assistance. - Paid time off including PTO, holidays, and any other paid leave required by law. Company Description ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™.

Role Description For twenty years, "using the data" meant a person opening a dashboard and clicking until the number showed up. That's ending. The thing asking the question now is often an agent — a salesperson's AI fetching its own answer, a developer's agent interrogating build history from inside the product. The dashboard was the interface built for humans. What comes next has to work for machines and humans at once, and almost no one has architected a data platform for it. You'd be the one who does it here. - The problem you'd own: Buildkite's data goes deep — the build and test history behind how teams like Airbnb, OpenAI, Canva, Anthropic and Pinterest ship software. - Storing it was never the hard part. The hard part is the question underneath everything now: can an agent find it, trust it, and act on it — safely, and fast enough to matter? - Answering that means rebuilding from the query engine up. - What an agent actually needs from a semantic layer. - What "self-serve" means when the person asking isn't technical. - Where the current architecture has to bend to make it possible — starting with a live call on moving from Athena to ClickHouse, which you'd be the one to settle. - The same platform has to answer a GTM teammate typing a plain-English question and a customer's agent querying build data inside the product. - This is a principal-level role that sets the direction on how this gets solved. Qualifications - You've led data architecture at scale — and owned the decisions, not just contributed to them. - You have strong opinions on how these platforms should be built, and the track record to defend them. - You know the modern stack end-to-end — semantic / headless-BI layers, query engines and analytical stores, transformation and modelling, ingestion and streaming — well enough to reach for the right tool over the familiar one. - You've wrestled with how agentic AI consumes data, or you're hungry to. - Worked in dev tools or CI/CD? Comfortable in a monolith product environment (little Ruby to write, but no fear of it)? Know Kafka or Flink? Build with privacy and compliance in mind? All a head start — bonus, not bar. - The one line we won't budge on: you've owned data architecture in production and made the calls yourself — not advised on them from the side. Requirements - Want to own the data architecture direction outright — set the patterns rather than inherit them. - Get energy from an open problem with no template to copy, and are happy making the call when the answer isn't obvious. - Want to be the definitive technical voice on data and influence through evidence, not a management title. - Do your best work async and remote, with a lot of autonomy and not much looking over your shoulder. Benefits - Frontier work. Agentic data isn't a roadmap slide here — it's the problem in front of you, at the edge of where data platforms are heading. - Real scale, real stakes. The data you'd shape sits in the critical path of some of the strongest engineering teams on the planet, shipping to over a billion daily users. - Ownership, not tickets. Flat, high-autonomy. Being the most senior data person here is influence you don't get where the function's buried three layers deep. - Remote, properly. Since 2013 — async, built for deep focus, with genuine team overlap. - Small enough that it counts. ~150 people, no hiding. What you build is visible. Bring the weird while you're at it — we hire the whole human, not the role. Company Description At Buildkite, we value diversity and celebrate all types of skills, backgrounds, and experiences. We’re dedicated to fostering an inclusive environment and providing reasonable accommodations throughout our recruitment process. If you need any accommodations or support during the application or interview process, please reach out to us at accommodations@buildkite.com.

Role Description We are seeking an innovative Product Manager to lead the development of our next-generation risk orchestration platform. You will be building the future of risk decisioning - a visual workflow automation platform meets cutting-edge AI, specifically designed for financial risk workflows. This platform will combine no-code visual workflow builders with Generative AI and Agentic AI capabilities to automate complex real-time decisioning for fraud, credit, onboarding, and AML use cases. This is a unique opportunity to define how financial institutions will orchestrate risk operations. What You'll Build - Visual Risk Orchestration Platform - Drag-and-Drop Risk Nodes: Pre-built components for common risk operations (KYC checks, transaction monitoring, credit scoring, sanctions screening) that connect seamlessly. - Real-Time Execution Canvas: Visual feedback showing live data flow, with ability to inspect outputs at each node and test individual steps without running entire workflows. - AI-Powered Decision Trees: Visual branching logic that adapts based on risk signals, with AI suggesting optimal paths and thresholds. - Risk-Specific Templates: Pre-built workflows for common scenarios like "High-Risk Transaction Investigation" or "Enhanced Due Diligence Flow". - Enterprise-Grade Execution Engine - Sub-100ms Performance: Real-time execution handling millions of decisions daily with queue management and worker distribution. - Error Recovery Workflows: Visual error handling with automatic retry logic and fallback paths for failed services. - Compliance Recording: Every decision path logged with full explainability for regulatory review. - Version Control Integration: Git-based workflow management with staging/production environments. Key Responsibilities - Product Strategy & Vision: - Define the product vision for an AI-first risk orchestration platform that revolutionizes how FIs manage risk workflows. - Develop the roadmap that balances no-code accessibility with sophisticated AI capabilities. - Research and analyze competitive landscape (n8n, Zapier, Temporal) to identify differentiation opportunities. - Create the strategy for transitioning from traditional rule engines to AI-orchestrated decisioning. - Define success metrics and KPIs that demonstrate value across fraud, credit, AML, and onboarding use cases. - Platform Architecture & Design: - Node Library Development: Design 200+ pre-built risk nodes including: - Data ingestion nodes (core banking APIs, bureau connectors, blockchain analyzers). - Enrichment nodes (identity verification, device fingerprinting, graph analytics). - Decision nodes (ML scoring, rules engines, policy tables). - Action nodes (case creation, alert generation, automated responses). - AI nodes (investigation agents, narrative generators, anomaly detectors). - Workflow Studio Features: Create an intuitive builder with: - Split-screen design showing workflow logic and live data flow. - Node search with AI-powered recommendations ("nodes similar to velocity checks"). - Sticky notes and documentation directly on the canvas. - Workflow simulation with synthetic data for testing. - Performance profiling showing latency at each node. - Template Marketplace: Curate risk-specific workflows: - "FATF-Compliant Transaction Monitoring" template. - "SaaS Fraud Prevention Suite" with pre-configured rules. - "Instant KYC + Credit Decision" for lending. - Community-contributed workflows with security vetting. - Developer Experience: Enable power users with: - JavaScript/Python code nodes for custom logic. - Webhook nodes for real-time event triggering. - API nodes with OAuth management. - Git sync for workflow version control. - CLI tools for workflow deployment. - Cross-Functional Leadership: - Collaborate with engineering to build a platform that's both powerful and performant. - Work with risk domain experts (fraud, AML, credit) to ensure workflows meet practitioner needs. - Partner with customer success to gather feedback and iterate on platform capabilities. - Coordinate with sales and marketing to articulate the platform's unique value proposition. - Lead agile ceremonies and maintain clear communication across all stakeholders. Qualifications - 5+ years of product management experience, with at least 3 years in B2B SaaS platforms. - Proven track record building workflow automation, orchestration, or integration platforms. - Background in fintech, risk management, or financial services preferred. - Demonstrated success launching technical products for non-technical users. Requirements - Deep understanding of workflow orchestration patterns, event-driven architectures, and state machines. - Experience with visual programming concepts and node-based editors (Node-RED, Retool Workflows, Pipedream). - Knowledge of AI/ML concepts including LLMs, embeddings, vector databases, RAG, and agent architectures. - Understanding of real-time systems, message queuing (Kafka, RabbitMQ), and streaming data processing. - Familiarity with API design, webhooks, OAuth flows, and integration patterns. - Experience with workflow execution engines (Temporal, Airflow, Camunda). - Understanding of no-code/low-code platforms and visual programming paradigms. - Understanding of risk decisioning workflows across fraud, AML, credit, and onboarding. - Knowledge of regulatory requirements for automated decision-making (FCRA, GDPR Article 22). - Familiarity with risk operations including case management and investigation workflows. - Understanding of financial services infrastructure and data sources. Preferred Qualifications - Technical background in Computer Science or Engineering. - Experience with specific technologies: Node-RED, Apache Airflow, Temporal, or similar workflow engines. - Knowledge of specific risk platforms (Actimize, SAS, Feedzai, etc.). - Experience building developer platforms or tools. - Understanding of MLOps and model deployment pipelines. - Background in building real-time, mission-critical systems. Benefits - Compensation: Competitive salary and equity packages, including a 401k plan. - Flexibility: Remote-first culture — work from anywhere. - Health: 100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US). - Balance: Unlimited PTO policy. - Technical: AI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and Product. - Culture: Family-Friendly environment; Regular team events and offsites. - Development: Unparalleled learning and professional development opportunities. - Impact: Making the internet safer by protecting online transactions.

Role Description We are seeking a Software Engineer to help build and scale a graph-database-backed social listening platform. This role sits at the intersection of backend data infrastructure and front-end visualization, supporting a product that ingests high-volume social and web data in real time and visualizes complex network relationships. The ideal candidate is comfortable working across graph databases, streaming data pipelines, and modern front-end frameworks, and thrives in a fast-moving, early-stage engineering environment. Key Responsibilities - Design, build, and maintain backend services that interface with graph databases to model and query complex relationship data - Develop and maintain real-time data ingestion pipelines handling high-throughput social and web data - Build and optimize web scraping and crawler infrastructure to support continuous data collection - Develop front-end features and dashboards that visualize network and relationship data in an intuitive, performant way - Collaborate cross-functionally to translate product requirements into scalable technical solutions - Write clean, maintainable, well-tested code across the stack - Troubleshoot performance bottlenecks across data ingestion, storage, and visualization layers Qualifications - Hands-on experience with graph databases (such as Neo4j, TigerGraph, Dgraph, ArangoDB, or Amazon Neptune) and graph query languages (such as Cypher or Gremlin) - Experience with real-time/streaming data infrastructure (such as Kafka, Kinesis, Flink, or Spark) - Strong proficiency in at least one backend language such as Python, Go, or Node.js/TypeScript - Front-end development experience with React, Next.js, and TypeScript - Experience building or working with data pipelines, ETL processes, or web scraping/crawler infrastructure - Comfortable working in a high-growth, early-stage engineering environment with evolving priorities - Must be authorized to work in the United States without sponsorship Preferred Qualifications - Experience with data visualization libraries such as D3, Cytoscape, Sigma.js, vis.js, or Recharts, particularly for graph/network visualizations - Experience with social listening, social media data, or large-scale web data platforms - Familiarity with Elasticsearch, OpenSearch, Redis, or Airflow - Prior experience at a seed-to-Series B startup - Experience with AWS, GCP, Docker, or Kubernetes Tools & Technology - Graph database platforms (Neo4j, TigerGraph, Dgraph, ArangoDB, or similar) - Streaming/data pipeline tools (Kafka, Spark, Flink, or similar) - React, Next.js, TypeScript - Python, Go, or Node.js - Cloud infrastructure (AWS/GCP), Docker, Kubernetes