Role Description Energetic and motivated self-starter to join the Engineering Process Group to drive organizational changes and support development teams in improving quality and performance. This person enjoys working in a high-energy environment, collaborating with multiple disciplines (software, hardware, systems, QA, etc.) to lead ASPICE assessments, identify areas for improvement, and develop effective process solutions. - Solid understanding of ASPICE process structure (SYS, SWE, SUP, MAN) - End‑to‑end understanding of the embedded software development lifecycle, including: - Requirements (system & software) - Architecture & detailed design - Implementation - Verification & validation - Configuration & change management - Release & maintenance - Ability to explain inputs, outputs, roles, and dependencies between SDLC activities - Understanding of how lifecycle activities differ across (Waterfall and Agile / Hybrid embedded environments) - Experience applying SDLC concepts at organizational process level, not only project execution - Understand upstream and downstream SDLC activities. - Hands‑on experience creating or updating: - Development processes - Standards - SOPS - Lifecycle definitions - Working knowledge of ALM tools (Atlassian, IBM DOORS preferred) - Method Park Stages is a plus - Former engineer who transitioned into process engineer role - Has personally authored or significantly updated lifecycle processes - Can explain SDLC activities beyond their former functional role Qualifications - Bachelor's degree in Computer Engineering, or equivalent combination of education and experience - 5+ years of experience working with embedded development projects in Auto industry - Ability to interpret ASPICE base practices and intent, not just recite them - Ability to map ASPICE expectations into practical development processes - Experience applying ASPICE to real production projects, not just performing assessments - Ability to translate standards and models (ASPICE, ISO 26262, Cybersecurity) into: - Clear process flows - Defined roles and responsibilities - Required work products - Entry / exit criteria - Experience ensuring processes are clear and unambiguous, compliant with standards and practical and deployable for engineering teams. - Ability to write clear, structured process requirements, including: - “Shall / should” statements - Role responsibilities - Required templates - Experience breaking down abstract or high‑level requests into actionable process definitions - Strong attention to clarity, consistency, and avoidance of ambiguity - Strong knowledge of ASPICE Benefits - Encouragement of flexibility in how, when, and where people get their work done - Better work-life balance and greater empowerment - Opportunities to achieve valuable change and new connections - Support for deepening knowledge and learning new skills while working

• Serve as the engineering decision-maker for subsurface utility map creation dilemmas, ensuring optimal technical outcomes aligned with project and product goals. • Represent Exodigo in client-facing settings, participating in meetings to explain, defend, and answer questions related to mapping outputs and engineering considerations. • Develop deep expertise in the Exodigo tech stack and use that knowledge to inform engineering decisions and trade-offs. • Take full ownership of the quality of final deliverables, ensuring accuracy, consistency, and adherence to engineering standards. • Analyze and design utility systems for large-scale infrastructure projects, ensuring seamless integration with Exodigo’s core product. • Create and review conceptual utility plans, proposing optimized engineering solutions that minimize project disruption. • Ensure compatibility and compliance with CAD formats and deliverables specific to utility engineering. • Conduct QA/QC processes across deliverables, focusing on improving accuracy and logical integrity throughout all project phases. • Collaborate with cross-functional teams to align engineering decisions with advanced mapping and AI-driven technologies. • Stay highly up to date with utility engineering standards, conventions, and industry changes, and apply them in daily work.

Role Description We're hiring a Staff Engineer (ML) to join our Test Engine team. In this role, you'll define and lead the technical strategy for machine learning within Test Engine — specifically, building the models and infrastructure behind predictive test selection: using code changes to determine which tests actually need to run. Staff Engineers at Buildkite are hands-on technical leaders. You'll influence how we design, build, and scale systems while supporting other engineers to deliver their best work. You'll be the most senior ML practitioner in the company, setting the technical direction for how we approach test selection and establishing the patterns and infrastructure that the broader ML effort builds on. What You'll Do - Own Technical Direction for ML in Test Engine - Lead and define the ML strategy for predictive test selection — from early experimentation through to models running reliably in production at scale. - Lead the technical investigation into how we build a generalised test selection model, and shape the approach based on what the data tells you. - Lead the design of the ML architecture end-to-end: feature engineering from code changes and test history, model training and evaluation, serving infrastructure, and feedback loops for continuous improvement. - Drive key decisions around model operationalisation — latency constraints, prediction accuracy trade-offs, and graceful degradation when confidence is low. - Shape how ML capabilities integrate with Test Engine's existing data infrastructure. - Build and Scale the ML Platform - Build the ML platform layer so that getting a model into production is fast and repeatable. - Design, build, and maintain the data pipelines that feed ML workloads. - Train, evaluate, and deploy models, taking ownership through to monitoring and retraining in production. - Instrument production models with observability metrics. - Solve the hardest technical challenges at the intersection of code analysis and test data. - Lead and Unblock - Investigate and resolve complex performance and reliability issues across the data and ML stack. - Share knowledge and drive engineering best practices across teams through documentation, mentorship, and pairing. - Support the wider engineering organisation by contributing to cross-team tooling, infrastructure, and frameworks. - Communicate trade-offs effectively and build alignment around technical decisions. - Work closely with customers to understand how test selection fits into their development workflows. Qualifications - Deep proficiency in Python, with strong experience building production ML systems end-to-end. - Proven experience designing and operating ML infrastructure at scale. - Strong experience with data processing at scale. - Deep proficiency in SQL. - Comfort working in cloud environments (AWS) and with containerised workloads (Docker, Kubernetes). - Hands-on experience training, evaluating, and deploying ML models in production. - Experience with classification, ranking, or prediction problems. - Track record of building ML capabilities that scaled beyond a single use case. - Experience with feature engineering from structured and semi-structured data. - Experience instrumenting production models with observability. - Excellent written and verbal communication skills, especially in a remote-first environment. - A collaborative, pragmatic mindset. - Proven ability to build alignment across teams and influence technical direction without authority. Nice to Have - Experience with code analysis, static analysis tools, or building features from source code structure. - Familiarity with CI/CD systems, developer tooling, or test infrastructure. - Experience with Ruby on Rails, React, GraphQL, or Go. - Background in search ranking, recommendation systems, or other domains. - Experience working with test frameworks or test execution data. Benefits - Competitive compensation, including salary, equity, and benefits package. - Flexible, remote-first culture (Remote in the ANZ & PST Regions). - Meaningful technical challenges at scale. - Opportunities for professional growth, technical leadership, and cross-team influence. - A collaborative, inclusive, and innovative culture where your ideas make a real impact. Equal Opportunity Employer 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.

Role Description The Sr. Full Stack Engineer is a key contributor within the IT organization responsible for the architecture, development, deployment, and maintenance of full-stack applications that power ADDMAN’s business operations. This role will play a pivotal part in building out the development department at ADDMAN, designing and delivering distributed systems end-to-end—from backend service workers and middleware through business logic, routing, and user-facing interfaces. - Lead the design, development, and operation of full-stack applications built on a modern technology stack: React (with Vite) on the frontend, C# and Node.js (Fastify) on the server side. - Own solutions end-to-end—including architecture, coding, data modeling, deployment, monitoring, and ongoing maintenance. - Produce documentation and project roadmaps needed to scale the team. - Bridge software architecture, application engineering, and data engineering. - Self-starter who thrives in a fast-paced environment with evolving priorities. - Fully remote position, with some travel to ADDMAN sites required as needed. Qualifications - Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field (Master’s degree preferred). - 8–12+ years of professional software engineering experience, with deep expertise across the full stack (frontend, backend services, middleware, and databases). - 3–5+ years of experience designing and operating distributed systems in production, including C#, Node.js, React, and relational databases (PostgreSQL and/or SQL Server). - Industry experience (e.g., manufacturing, engineering, technology, or similar) is a plus. - Experience with Fastify, Redis, MongoDB, cloud deployment, and observability tooling is also a plus. Requirements - Architect, develop, and maintain full-stack applications end-to-end, including frontend (React/Vite), backend services (C# and Node.js/Fastify), middleware for business logic and routing, and backend data infrastructure (PostgreSQL, SQL Server, Redis, MongoDB). - Design and implement distributed systems, including backend service workers, business-logic middleware, API routing layers, and user-facing interfaces that operate reliably at scale. - Develop, deploy, and maintain business functions in C#, as well as server-side applications using C# and Node.js (Fastify), ensuring performance, security, and maintainability across environments. - Model, query, and optimize data across relational and non-relational stores—primarily PostgreSQL and SQL Server, with Redis for caching and MongoDB for document workloads. - Own the full software development lifecycle (SDLC) using standard patterns—requirements, design, development, testing, deployment, and maintenance—including CI/CD, version control, code reviews, and release management. - Produce and maintain clear technical documentation, including architecture diagrams, API references, deployment runbooks, and a living project roadmap that aligns engineering work with business priorities. - Partner with stakeholders across the business to translate requirements into reliable, maintainable software—delivering features iteratively in a fast-paced environment with changing demands and shifting priorities. - Monitor, troubleshoot, and continuously improve application performance, reliability, and security across production environments. - Mentor other engineers as the development department grows. - Help shape the long-term engineering and application strategy in partnership with the VP of IT. Company Description