We are looking for a highly technical Senior Staff/Principal Engineer to lead the porting and enablement of critical AI workloads. You will be a primary driver in migrating compute workloads to RISC-V architectures, ensuring our hardware is optimized for real-world application performance.

The ideal candidate has a strong background in DevOps, workload porting, or application enablement. While this is an individual contributor role at its core, you will have the opportunity to grow and lead a small, specialized team over time as our workload migration efforts scale.

This role is remote, based in the United States or Australia.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• A Technical Catalyst: You thrive on the challenge of driving AI hardware porting to RISC-V and making complex software stacks run efficiently on new hardware.
• Systems Expert: You possess deep knowledge of system software, compilers, or low-level OS internals. You are an expert in ARM or x86 environments and are ready to apply those skills to the RISC-V frontier.
• A Project Driver: You have the technical authority to lead the implementation of a compute migration to RISC-V through strategic IT and DevOps enablement.
• Collaborative & Cross-Functional: You enjoy acting as the "technical glue" between IT, DevOps, and AI teams, coordinating complex efforts across boundaries to ensure seamless workload transitions.
• Architecture Agnostic: You are a systems thinker who understands how to bridge the gap between infrastructure and core silicon engineering.

What We Need

• Education: BS/MS/PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
• Workload Expertise: Extensive experience in workload porting, DevOps engineering, or application enablement.
• Systems Fluency: Strong familiarity with CPU architectures and systems design, with a proven track record of troubleshooting and optimizing performance across new architectures.
• Leadership Qualities: Ability to coordinate across multiple technical teams and the potential to mentor or grow a small engineering pod.
• Execution Focus: A mindset geared toward technical delivery and methodology development rather than broad community networking.

What You Will Learn

• Gain deep expertise in bleeding-edge RISC-V system software across server and AI-accelerated environments.
• Directly influence an upcoming project, a high-visibility initiative shaping the future of our internal compute infrastructure.
• Work at the intersection of AI/ML workloads and hardware/software co-design.
• Shape the technical roadmap for how the industry adopts RISC-V for high-performance compute.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

SUMMARY

As a Senior Solutions Engineer, you will be responsible for supporting our enterprise customers, reporting to the regional Manager, Solutions Engineering. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution.

We are focused on candidates located in Sydney.

WHAT YOU’LL DO

• Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
• Provide presentations to our customers and prospective customers such as whiteboards,  product demonstrations, slides, and proof of value outcomes.
• Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
• Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
• Represent Wiz in technical forums such as trade shows, technical meet-ups, and industry events.

WHAT YOU’LL BRING

• Ability to deliver world class demonstrations and training experience to our customers
• Mastered the technical sales process
• Thrive in a creative technical role assisting customers to build a technical business delivery model
• Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers
• Cloud security experience
• AWS/Azure/GCP hands on experience
• Network engineering experience
• Strong operating system, virtual machine, and container knowledge
• Knowledge of risk-based security assessments and frameworks
• Understanding of cloud identity, access, certificates, and keys

BONUS POINTS: 

• Experience with traditional CSPM tools
• SaaS experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

CSQ227R65

As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.

The impact you will have:

• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. 
• Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
• Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. 
• Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
• Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.
• Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.

The Role

Podium is looking for a talented AI Engineer where your primary mandate is twofold: rebuild and modernise our lead funnel using AI-first architecture, and design and deploy a suite of internal AI agents that eliminate repetitive, manual work for our AEs and SDRs — giving them more time to sell.

If you thrive in fast-paced, highly iterative environments, enjoy solving complex distributed systems challenges, and want to see your work drive immediate business impact, this role is for you!

What you will be doing

• Build and scale the AI Agent platform — enabling high-volume, real-time conversational workflows that deliver accuracy and low latency at scale.
• Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions.
• Own the full lifecycle: architecture, implementation, deployment, and ongoing reliability.
• Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience.
• Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency.
• Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features that power critical business outcomes.

What you should have

• 5-8+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir.
• 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
• Proven success designing and maintaining distributed or high-throughput systems.
• Strong problem-solving ability and comfort navigating ambiguity in large-scale systems.
• Excellent communication skills and the ability to work effectively across teams.
• A willingness to work across the entire stack—from infrastructure to APIs to user-facing components—wherever the problem needs solving.
• Ability to thrive in a fast-paced environment with shifting priorities.

What we hope you have

• 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
• Practical experience designing and implementing evaluations for LLM behavior — including accuracy, safety, reliability, and cost monitoring.
• Strong understanding of prompt design, context engineering, and guardrail strategies for dependable, interpretable agent behavior.
• Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns.
• Hands-on experience with fine-tuning and data curation for improving model performance.

Why you’ll love working here: 

• Podium is the best place to work to:
• Join the leaders in AI agents
• Unlock career-defining growth
• Build with world-class talent
• Make a real impact on local business

Benefits:

• Open and transparent culture 
• Health and Wellbeing Benefits
• 4 weeks of annual leave
• Melbourne CBD Office - Located on the corner of Queen & Collins St
• Snacks cupboard always stocked up
• Catered lunch the last week of every month

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

Job Duties and Responsibilities:

• Partner with the regional sales team to develop strategic and technical account and territory plans
• Support our customers along their sales journey by showing them the value of the Okta technology through live demonstrations and sales presentations.
• Developing confidence to communicate with stakeholders at all levels of the customer's organization, including CxO, security, developers, Product Managers and IT administrators.
• Serving as the key technical advisor for our customers, leading the technical solutioning phase for our customers, partnering with the sales team and our partners.  Acting as the Technical Advocate for our customers, with Internal Okta teams.
• Execute well-defined, outcome-focussed POCs
• Build and manage technical relationships with Okta Customers, Technology Partners and Delivery Partners.
• Participate in Okta Marketing led events, as a Speaker / Thought Leader and an attendee
• Enjoy travelling and meeting customers. Travel will be mainly domestic.  There may also be opportunities to travel to other Asia Pacific countries to support teammates; and within the US for training and conferences.  

Skills & experiences that will help in the role:

• Minimum of 1-2 years experience in a pre-sales consulting role, or customer facing consulting role.
• Strong communication skills, written and verbal, and an ability to quickly communicate complex ideas around a technical topic, using various means, including in front of a whiteboard.
• Communicate effectively with stakeholders at all levels of the customer's organisation, including CxO, security, developers, and IT administrators.
• Ability to be organised and analytical, and eliminate sales obstacles using creative and adaptive approaches
• A passion to be in the forefront of technology, learning a diverse set of technologies that Okta integrates with and helping solve real world Identity challenges
• Enjoy being in a fast paced environment, operating at the speed of cloud, to help customers accelerate their journey to the cloud, rapid adoption of technology and design their Zero Trust security strategy with Identity as the foundation.

You might also have (not mandatory):

• Experience with Identity & Access Management, Single Sign-on, Security and API-based solutions
• Experience with at least one standard network security protocol (eg. OAuth 2.0, OpenID Connect, SAML, LDAP)
• Proficient in either IT Security, Identity and Access Management or Developer domains
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field
• Hands-on experience in one or more of the following areas: web development (JavaScript, HTML, frontend frameworks), mobile development (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• Software developer experience

#LI-TH1

#LI-Hybrid

P24431_3354094

About the Team

Anduril’s Maritime Division has assembled a diverse team of experts in software, robotics, artificial intelligence, sensor fusion, and data analysis to create software and hardware solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous systems to tackle the extremely challenging industry demands of maritime operations. Anduril has brought to market a unique, ultra-long-range, full-ocean-depth underwater vessel platform and a completely refreshed maritime vehicle and flexible manufacturing architecture that scales from "small" to "extra-large" vehicle sizes. Today, Anduril is executing on billion-dollar contracts while simultaneously performing Robot-as-a-Service (RaaS) AUV operations.

We are seeking to sustain our early successes with deep investment in an expanded product portfolio. These products, including Dive-XL, Dive-LD, Copperhead, Seabed Sentry, and other unannounced systems, will deliver a coherent system-of-systems, enabling the end-to-end conduct of a variety of autonomous missions in the maritime domain. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril’s Maritime Division and help us build the future of defense capability.

About the Job

Senior Robotics Engineers independently drive delivery of vehicle perception and planning capability integrated in to our products. This includes systems analysis, sensor selection and integration, perception architecture and implementation, motion planning, health management, behaviour analysis, simulation and test infrastructure, and interfaces with lower- and higher-level systems. We expect Senior Robotics Engineers to demonstrate end-to-end outcome ownership at the major subsystem or system level. Senior Software Engineers contribute as a technical lead to the rapid architecting, design, delivery, support, and evolution of next generation autonomous platforms through their entire product life-cycle.

WHAT YOU'LL DO

• Design and implement trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions and requirements in a multi-stakeholder environment
• Design and implement scalable sub-systems including sensor processing, perception, tracking, motion planning, health management, anomaly detection, simulation, testing fixtures, and vehicle interfaces
• Contribute to the design and development of existing software components across Anduril, with the aim of developing components that are re-usable across multiple Anduril product lines
• Utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles
• Conduct thorough testing and validation of perception and planning algorithms through development and use of simulation and analysis of data from real-world experiments, including evolving the data analysis tooling.
• Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing
• Travel to co-locate with end-users and/or other teams up to 20% of the time

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
• Experienced and proficient in C++ and/or Python software development
• Familiarity with autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras
• Demonstrated knowledge of at least one of: computer vision, sensor fusion, SLAM, motion planning, machine learning
• Experience in a senior perception or planning role for the delivery of a robotic system
• Capacity to act as the technical owner for a sysem, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution
• Ability to collaborate with stakeholders to define and implement robust validation and verification strategies for perception and planning modules
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Eligible to obtain and maintain an Australian Government Negative Vetting 2 security clearance (NV2)

PREFERRED QUALIFICATIONS

• Experience with autonomous systems in the ground, air, maritime or space domains
• Experience with simulation tools and frameworks, such as Gazebo, Unity, or Unreal Engine, for algorithm validation and testing
• Knowledge of safety standards and certification processes for autonomous systems
• Familiarity with System Engineering concepts

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

About the Team

Anduril’s Maritime Division has assembled a diverse team of experts in software, robotics, artificial intelligence, sensor fusion, and data analysis to create software and hardware solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous systems to tackle the extremely challenging industry demands of maritime operations. Anduril has brought to market a unique, ultra-long-range, full-ocean-depth underwater vessel platform and a completely refreshed maritime vehicle and flexible manufacturing architecture that scales from "small" to "extra-large" vehicle sizes. Today, Anduril is executing on billion-dollar contracts while simultaneously performing Robot-as-a-Service (RaaS) AUV operations.

We are seeking to sustain our early successes with deep investment in an expanded product portfolio. These products, including Dive-XL, Dive-LD, Copperhead, Seabed Sentry, and other unannounced systems, will deliver a coherent system-of-systems, enabling the end-to-end conduct of a variety of autonomous missions in the maritime domain. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril’s Maritime Division and help us build the future of defense capability.

About the Job

Staff Robotics Engineers lead the delivery of vehicle perception and planning capability integrated in to our products, acting as technical leads, extremely senior individual contributors, and/or as team leads that are also hands-on contributors. . This includes systems analysis, sensor selection and integration, perception architecture and implementation, motion planning, health management, behaviour analysis, simulation and test infrastructure, and interfaces with lower- and higher-level systems. We expect Staff Robotics Engineers to demonstrate unparalleled end-to-end outcome ownership, driving the rapid architecting, design, delivery, support, and evolution of safe and effective vehicle autonomy on Anduril’s autonomous platforms through their entire product life-cycle.

WHAT YOU'LL DO

• Own customer success through the design and delivery of a multi-year, multi-stakeholder software roadmap that spans across multiple teams.
• Leverage internal product and program-specific engineering teams to rapidly deliver capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time
• Partner with external teams, collaborating on interfacing requirements between diverse systems and technologies
• Lead teams that architect, design and implement trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions and requirements in a multi-stakeholder environment.
• Drive the development and implementation of sensor suites, perception algorithms, planning algorithms, and test fixtures to deliver safe navigation and effective operation of Anduril’s autonomous vehicles
• Perform high impact IC work in architecture and implementation across the whole perception and planning stack
• Utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles
• Conduct thorough testing and validation of perception and planning algorithms through development and use of simulation and analysis of data from real-world experiments, including evolving the data analysis tooling.
• Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing
• Travel to co-locate with end-users and/or other teams up to 20% of the time

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
• Experienced and proficient in C++ and/or Python software development
• Familiarity with autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras
• Demonstrated knowledge of at least one of: computer vision, sensor fusion, SLAM, motion planning, machine learning
• Experience in a senior perception or planning role for the delivery of a robotic system
• Capacity to act as the technical owner for a sysem, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution
• Ability to collaborate with stakeholders to define and implement robust validation and verification strategies for perception and planning modules
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Eligible to obtain and maintain an Australian Government Negative Vetting 2 security clearance (NV2)

PREFERRED QUALIFICATIONS

• Experience with autonomous systems in the ground, air, maritime or space domains
• Experience with simulation tools and frameworks, such as Gazebo, Unity, or Unreal Engine, for algorithm validation and testing
• Knowledge of safety standards and certification processes for autonomous systems
• Familiarity with System Engineering concepts

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

About the Team

Anduril’s Maritime Division has assembled a diverse team of experts in software, robotics, artificial intelligence, sensor fusion, and data analysis to create software and hardware solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous systems to tackle the extremely challenging industry demands of maritime operations. Anduril has brought to market a unique, ultra-long-range, full-ocean-depth underwater vessel platform and a completely refreshed maritime vehicle and flexible manufacturing architecture that scales from "small" to "extra-large" vehicle sizes. Today, Anduril is executing on billion-dollar contracts while simultaneously performing Robot-as-a-Service (RaaS) AUV operations.

We are seeking to sustain our early successes with deep investment in an expanded product portfolio. These products, including Dive-XL, Dive-LD, Copperhead, Seabed Sentry, and other unannounced systems, will deliver a coherent system-of-systems, enabling the end-to-end conduct of a variety of autonomous missions in the maritime domain. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril’s Maritime Division and help us build the future of defense capability.

About the Job

Staff Robotics Engineers lead the delivery of vehicle perception and planning capability integrated in to our products, acting as technical leads, extremely senior individual contributors, and/or as team leads that are also hands-on contributors. . This includes systems analysis, sensor selection and integration, perception architecture and implementation, motion planning, health management, behaviour analysis, simulation and test infrastructure, and interfaces with lower- and higher-level systems. We expect Staff Robotics Engineers to demonstrate unparalleled end-to-end outcome ownership, driving the rapid architecting, design, delivery, support, and evolution of safe and effective vehicle autonomy on Anduril’s autonomous platforms through their entire product life-cycle.

WHAT YOU'LL DO

• Own customer success through the design and delivery of a multi-year, multi-stakeholder software roadmap that spans across multiple teams.
• Leverage internal product and program-specific engineering teams to rapidly deliver capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time
• Partner with external teams, collaborating on interfacing requirements between diverse systems and technologies
• Lead teams that architect, design and implement trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions and requirements in a multi-stakeholder environment.
• Drive the development and implementation of sensor suites, perception algorithms, planning algorithms, and test fixtures to deliver safe navigation and effective operation of Anduril’s autonomous vehicles
• Perform high impact IC work in architecture and implementation across the whole perception and planning stack
• Utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles
• Conduct thorough testing and validation of perception and planning algorithms through development and use of simulation and analysis of data from real-world experiments, including evolving the data analysis tooling.
• Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing
• Travel to co-locate with end-users and/or other teams up to 20% of the time

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
• Experienced and proficient in C++ and/or Python software development
• Familiarity with autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras
• Demonstrated knowledge of at least one of: computer vision, sensor fusion, SLAM, motion planning, machine learning
• Experience in a senior perception or planning role for the delivery of a robotic system
• Capacity to act as the technical owner for a sysem, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution
• Ability to collaborate with stakeholders to define and implement robust validation and verification strategies for perception and planning modules
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Eligible to obtain and maintain an Australian Government Negative Vetting 2 security clearance (NV2)

PREFERRED QUALIFICATIONS

• Experience with autonomous systems in the ground, air, maritime or space domains
• Experience with simulation tools and frameworks, such as Gazebo, Unity, or Unreal Engine, for algorithm validation and testing
• Knowledge of safety standards and certification processes for autonomous systems
• Familiarity with System Engineering concepts

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

About the Team

Anduril’s Maritime Division has assembled a diverse team of experts in software, robotics, artificial intelligence, sensor fusion, and data analysis to create software and hardware solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous systems to tackle the extremely challenging industry demands of maritime operations. Anduril has brought to market a unique, ultra-long-range, full-ocean-depth underwater vessel platform and a completely refreshed maritime vehicle and flexible manufacturing architecture that scales from "small" to "extra-large" vehicle sizes. Today, Anduril is executing on billion-dollar contracts while simultaneously performing Robot-as-a-Service (RaaS) AUV operations.

We are seeking to sustain our early successes with deep investment in an expanded product portfolio. These products, including Dive-XL, Dive-LD, Copperhead, Seabed Sentry, and other unannounced systems, will deliver a coherent system-of-systems, enabling the end-to-end conduct of a variety of autonomous missions in the maritime domain. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril’s Maritime Division and help us build the future of defense capability.

About the Job

Senior Robotics Engineers independently drive delivery of vehicle perception and planning capability integrated in to our products. This includes systems analysis, sensor selection and integration, perception architecture and implementation, motion planning, health management, behaviour analysis, simulation and test infrastructure, and interfaces with lower- and higher-level systems. We expect Senior Robotics Engineers to demonstrate end-to-end outcome ownership at the major subsystem or system level. Senior Software Engineers contribute as a technical lead to the rapid architecting, design, delivery, support, and evolution of next generation autonomous platforms through their entire product life-cycle.

WHAT YOU'LL DO

• Design and implement trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions and requirements in a multi-stakeholder environment
• Design and implement scalable sub-systems including sensor processing, perception, tracking, motion planning, health management, anomaly detection, simulation, testing fixtures, and vehicle interfaces
• Contribute to the design and development of existing software components across Anduril, with the aim of developing components that are re-usable across multiple Anduril product lines
• Utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles
• Conduct thorough testing and validation of perception and planning algorithms through development and use of simulation and analysis of data from real-world experiments, including evolving the data analysis tooling.
• Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing
• Travel to co-locate with end-users and/or other teams up to 20% of the time

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
• Experienced and proficient in C++ and/or Python software development
• Familiarity with autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras
• Demonstrated knowledge of at least one of: computer vision, sensor fusion, SLAM, motion planning, machine learning
• Experience in a senior perception or planning role for the delivery of a robotic system
• Capacity to act as the technical owner for a sysem, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution
• Ability to collaborate with stakeholders to define and implement robust validation and verification strategies for perception and planning modules
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Eligible to obtain and maintain an Australian Government Negative Vetting 2 security clearance (NV2)

PREFERRED QUALIFICATIONS

• Experience with autonomous systems in the ground, air, maritime or space domains
• Experience with simulation tools and frameworks, such as Gazebo, Unity, or Unreal Engine, for algorithm validation and testing
• Knowledge of safety standards and certification processes for autonomous systems
• Familiarity with System Engineering concepts

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

At Anduril Australia we are developing un-crewed maritime and air domain systems that leverage unsupervised autonomy for the delivery of long endurance, multi-mission capability to our customers. These projects, including but not limited to the Extra Large Autonomous Undersea Vehicle (XL-AUV) Program, require a Senior Machine Learning Engineer with deep experience developing, testing, validating and deploying machine-learning based sensor processing and the technical toolchains they rely on. The Senior Machine Learning Engineer strives to leverage their experience to rapidly architect, design, deliver, support, and evolve next generation autonomous vehicles through the entire product life-cycle.

WHAT YOU'LL DO

• Lead the design, development, integration and support of machine learning models for perception and data pipelines for a variety of autonomous systems across multiple sensor modalities
• Develop software to manage and automate the machine learning lifecycle, including data management, pipelining, labeling and training
• Manage model selection, training, validation, evaluation, deployment and regression testing
• Manage training data sourcing and integration, and quality
• Develop tools and processes for machine learning in a classified environment
• Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
• Experience in a senior role with the delivery of a production grade software system with a mature machine learning component
• Experience with the design, implementation and maintenance of ML Operations, including data acquisition, labeling, data curation, pipeline management, continuous integration, model versioning, and monitoring
• Ability to collaborate with data scientists and stakeholders to define and implement robust validation and verification strategies
• Experience with the delivery of computer vision capabilities, from the data side as well as the model side
• Capacity to work holistically on machine learning enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation and sustainment
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Eligible to obtain and maintain an Australian Government Negative Vetting 2 security clearance (NV2) 

PREFERRED QUALIFICATIONS

• Experience with the delivery of capability with a public sector customer
• Experience with workflow management tools such as flyte, airflow, and kubeflow
• Experience with deep learning frameworks such as PyTorch
• Experience with edge ML applications
• Experience with inference engines such as TensorRT
• Experience writing C++, Go, Python or Rust
• Proficiency in data management and traceability techniques to maintain high-quality datasets and enable reproducibility of experiments and results
• Desire to grow in to a Tech-Lead-Manager role, with responsibility for line management of engineers, in addition to delivery

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

About the Role

As a Program Chief Engineer you will be responsible for defining and driving the system's architecture, technical roadmap, and overall engineering excellence. You will lead a multi-disciplinary team of high-performing engineers, ensuring that the system meets stringent performance, reliability, and mission requirements in challenging maritime environments. This role combines strategic technical leadership with direct hands-on involvement in critical design and integration challenges.

This is a highly visible and impactful role where your deep technical expertise, strategic thinking, and leadership will directly contribute to delivering transformative capabilities for national security.

What You'll Do

• Technical Leadership & Vision: Define and articulate the technical vision and strategic roadmap for the system, ensuring alignment with Anduril's broader Dive-XL Core Platform and customer needs. Work directly with the product team (Product Manager, EPM, Lead Systems Engineer) to ensure tactical development is executed on plan.
• Architectural Design Authority: Serve as the ultimate technical authority for the system architecture, design decisions, and critical trade-offs across all engineering disciplines (mechanical, electrical, software, autonomy, acoustics, materials).
• System Integration & Performance: Oversee the end-to-end development lifecycle, from requirements definition and conceptual design through detailed design, integration, test, and deployment.
• Test & Evaluation: Define and oversee the test and evaluation strategy, including acceptance criteria, test readiness reviews, and support to customer acceptance testing.
• Technical Problem Solving: Lead the resolution of complex technical challenges, acting as a hands-on expert and guiding teams through difficult design, integration, or operational issues.
• Technical Trade-offs: Drive build vs. buy decisions, manage technical debt, and balance speed of delivery against long-term system sustainability.
• Team Mentorship & Development: Provide technical mentorship, guidance, and critical review for engineering teams, fostering a culture of innovation, excellence, and rigorous problem-solving.
• Risk and Opportunity Management: Identify, assess, and mitigate technical risks throughout the program lifecycle, developing contingency plans and advising program leadership.
• Customer & Stakeholder Engagement: Act as a primary technical point of contact for internal stakeholders, customers, and partners. Clearly communicate complex technical information, program status, and strategic direction. Manage cross-team technical dependencies to ensure timely delivery of key capabilities, and shield the engineering team from scope disruption.
• Cross-Site Coordination: Collaborate closely with the US Chief Engineer counterpart to ensure technical alignment across program variants, share lessons learned, and maintain architectural consistency.
• Requirements Management: Ensure robust requirements decomposition, traceability, and verification plans are in place for all subsystems.
• Innovation & Research: Stay abreast of cutting-edge technologies, research, and industry trends relevant to autonomous underwater systems, incorporating best practices and innovative solutions.

Required Qualifications

• Bachelor's, Master's, or Ph.D. in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Robotics, Computer Science, or a related technical discipline.
• 15+ years of experience in the design, development, integration, and deployment of complex autonomous systems.
• 5+ years of demonstrated experience as a Chief Engineer, Technical Director, Lead Architect, Engineering Fellow, or equivalent senior technical leadership role on a major hardware/software program.
• Proficiency in systems engineering principles, including requirements management, interface control, verification, and validation.
• Proven ability to lead and mentor highly technical, multi-disciplinary engineering teams.
• Exceptional communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
• Must be able to obtain and maintain an Australian National Security Clearance (NV2 or higher).

Preferred Qualifications

• Deep expertise across multiple AUV sub-domains, such as:
• Hydrodynamics & Propulsion: Vehicle dynamics, control systems, thrusters.
• Power Systems: Battery technologies, power management, high-voltage systems.
• Underwater Acoustics & Communications: Modems, sonar, acoustic navigation.
• Navigation & Perception: INS/GPS-denied navigation, vision systems, object detection/avoidance.
• Autonomy & Control: Mission planning, decision-making algorithms, real-time control.
• Materials Science & Corrosion: Marine-grade materials, anti-corrosion techniques.
• Mechanical Design: Pressure hulls, payloads, articulation.
• Software Architectures: Embedded systems, real-time operating systems, distributed systems.
• Active Australian National Security Clearance (NV2 or higher).
• Experience with the full lifecycle of Australian Defence Force (ADF) acquisition programs.
• Demonstrated understanding of Australian defence contracting frameworks (e.g., ASDEFCON), or equivalent international defence acquisition standards, particularly as they relate to technical requirements, risk management, and program execution.
• Experience with system safety engineering practices (e.g., MIL-STD-882) and familiarity with submarine/AUV safety certification processes.
• Familiarity with cybersecurity best practices for autonomous systems.
• Expertise in AI/ML applications for AUV autonomy, perception, and decision-making.
• Experience with advanced manufacturing techniques for marine systems.

About the Team

Anduril’s Maritime Division has assembled a diverse team of experts in software, robotics, artificial intelligence, sensor fusion, and data analysis to create software and hardware solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous systems to tackle the extremely challenging industry demands of maritime operations. Anduril has brought to market a unique, ultra-long-range, full-ocean-depth underwater vessel platform and a completely refreshed maritime vehicle and flexible manufacturing architecture that scales from "small" to "extra-large" vehicle sizes. Today, Anduril is executing on billion-dollar contracts while simultaneously performing Robot-as-a-Service (RaaS) AUV operations.

We are seeking to sustain our early successes with deep investment in an expanded product portfolio. These products, including Dive-XL, Dive-LD, Copperhead, Seabed Sentry, and other unannounced systems, will deliver a coherent system-of-systems, enabling the end-to-end conduct of a variety of autonomous missions in the maritime domain. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril’s Maritime Division and help us build the future of defense capability.

About the Job

Robotics Engineers contribute to delivery of vehicle perception and planning capability integrated in to our products. This includes systems analysis, sensor selection and integration, perception architecture and implementation, motion planning, health management, behaviour analysis, simulation and test infrastructure, and interfaces with lower- and higher-level systems. We expect Robotics Engineers to demonstrate end-to-end ownership of their projects, contributing as a member of a team to the rapid architecting, design, delivery, support, and evolution of next generation autonomous platforms through their entire product life-cycle.

WHAT YOU'LL DO

• Implement trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions and requirements in a multi-stakeholder environment
• Implement scalable sub-systems including sensor processing, perception, tracking, motion planning, health management, anomaly detection, simulation, testing fixtures, and vehicle interfaces
• Contribute to the development of existing software components across Anduril, with the aim of developing components that are re-usable across multiple Anduril product lines
• Utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles
• Conduct thorough testing and validation of perception and planning algorithms through development and use of simulation and analysis of data from real-world experiments, including evolving the data analysis tooling.
• Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing
• Travel to co-locate with end-users and/or other teams up to 20% of the time

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
• Experienced and proficient in C++ and/or Python software development
• Familiarity with autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras
• Demonstrated knowledge of at least one of: computer vision, sensor fusion, SLAM, motion planning, machine learning
• Experience in a senior perception or planning role for the delivery of a robotic system
• Capacity to act as the technical owner for a sysem, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution
• Ability to collaborate with stakeholders to define and implement robust validation and verification strategies for perception and planning modules
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Eligible to obtain and maintain an Australian Government Negative Vetting 2 security clearance (NV2)

PREFERRED QUALIFICATIONS

• Experience with autonomous systems in the ground, air, maritime or space domains
• Experience with simulation tools and frameworks, such as Gazebo, Unity, or Unreal Engine, for algorithm validation and testing
• Knowledge of safety standards and certification processes for autonomous systems
• Familiarity with System Engineering concepts

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

About the Team

Anduril’s Maritime Division has assembled a diverse team of experts in software, robotics, artificial intelligence, sensor fusion, and data analysis to create software and hardware solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous systems to tackle the extremely challenging industry demands of maritime operations. Anduril has brought to market a unique, ultra-long-range, full-ocean-depth underwater vessel platform and a completely refreshed maritime vehicle and flexible manufacturing architecture that scales from "small" to "extra-large" vehicle sizes. Today, Anduril is executing on billion-dollar contracts while simultaneously performing Robot-as-a-Service (RaaS) AUV operations.

We are seeking to sustain our early successes with deep investment in an expanded product portfolio. These products, including Dive-XL, Dive-LD, Copperhead, Seabed Sentry, and other unannounced systems, will deliver a coherent system-of-systems, enabling the end-to-end conduct of a variety of autonomous missions in the maritime domain. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril’s Maritime Division and help us build the future of defense capability.

About the Job

Robotics Engineers contribute to delivery of vehicle perception and planning capability integrated in to our products. This includes systems analysis, sensor selection and integration, perception architecture and implementation, motion planning, health management, behaviour analysis, simulation and test infrastructure, and interfaces with lower- and higher-level systems. We expect Robotics Engineers to demonstrate end-to-end ownership of their projects, contributing as a member of a team to the rapid architecting, design, delivery, support, and evolution of next generation autonomous platforms through their entire product life-cycle.

WHAT YOU'LL DO

• Implement trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions and requirements in a multi-stakeholder environment
• Implement scalable sub-systems including sensor processing, perception, tracking, motion planning, health management, anomaly detection, simulation, testing fixtures, and vehicle interfaces
• Contribute to the development of existing software components across Anduril, with the aim of developing components that are re-usable across multiple Anduril product lines
• Utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles
• Conduct thorough testing and validation of perception and planning algorithms through development and use of simulation and analysis of data from real-world experiments, including evolving the data analysis tooling.
• Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing
• Travel to co-locate with end-users and/or other teams up to 20% of the time

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
• Experienced and proficient in C++ and/or Python software development
• Familiarity with autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras
• Demonstrated knowledge of at least one of: computer vision, sensor fusion, SLAM, motion planning, machine learning
• Experience in a senior perception or planning role for the delivery of a robotic system
• Capacity to act as the technical owner for a sysem, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution
• Ability to collaborate with stakeholders to define and implement robust validation and verification strategies for perception and planning modules
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Eligible to obtain and maintain an Australian Government Negative Vetting 2 security clearance (NV2)

PREFERRED QUALIFICATIONS

• Experience with autonomous systems in the ground, air, maritime or space domains
• Experience with simulation tools and frameworks, such as Gazebo, Unity, or Unreal Engine, for algorithm validation and testing
• Knowledge of safety standards and certification processes for autonomous systems
• Familiarity with System Engineering concepts

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

Why Dialpad

Dialpad’s Agentic AI platform turns conversations into autonomous workflows that drive revenue, efficiency, and unforgettable customer experiences. Fortune 1000 companies trust our AI Voice & Digital Agents to resolve millions of interactions every day. We’re scaling fast and need Forward Deployed Engineers who want to be at the intersection of innovation and business impact.

Your Role

The primary purpose of our Forward Deployed Engineering team is to accelerate the adoption and realization of value from our AI platform by embedding within our most strategic customer accounts. You will be the crucial link that translates complex business challenges into production ready, high-impact Agentic AI systems, driving business outcomes. FDE’s will act as the company's most technically fluent business consultant and the customer's most trusted AI architects. 

What We Do

• Business Translation and Discovery: Rapidly embed with customer stakeholders and operational leaders to deeply understand their most complex, high-stakes business problems. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions.

• The Go-To-Market Bridge: Partner directly with our Sales, Sales Engineers, Professional Services and Customer Success teams to serve as the deep technical authority during critical pre-sales evaluations and post-sales deployments. You don't just sell the vision, you build the capability that validates the investment.

• Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development.

• AI Envisioning: Navigate complex enterprise infrastructure (cloud, on-prem, data pipelines) to integrate our platform. Guide customers on production grade Agentic bot builds and integration to custom data connectors, orchestration logic, and full-stack systems that bring AI to life.

• Agentic AI Design: Design and deploy complex multi-agent systems, architectures, and fine-tuned models tailored to the customer's unique data, domain, and security requirements. Author multi‑step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework.

About You

• 4+ years of experience in a high-impact, customer-facing technical role such as Forward Deployed Engineering, Technical Consulting, high touch Sales Engineering or Solutions Architecture, or technical consulting for SaaS/AI products.

• Deep, demonstrable expertise in the modern AI/ML stack: LLMs, Generative AI concepts, vector databases, and agent orchestration frameworks. Proficiency in Python, Go, JS/TS plus hands‑on experience with LLM frameworks.

• Unrivaled Business Acumen: The ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive.

• You thrive in ambiguity, take full ownership of outcomes, and are driven by delivering tangible, measurable results for the customer, often working under tight timelines.

• Contributor to a dynamic team culture, focused on high growth industry innovation, team collaboration, customer success, and having fun.

Bonus Points

• Telephony stack knowledge (WebRTC, SIP, SBCs).

• Experience deploying chatbots or voice bots at >10K daily conversations.

• Contributions to open‑source AI agent frameworks.

How We Work

Our values mirror those of top forward‑deployed orgs: Customer First, Relentless Momentum, Extreme Ownership, and One Team. We ship, learn, and iterate - fast.

The Role: 

As a Senior Solutions Engineer, you will be a key driver of Neo4j’s growth by articulating business value, shaping solutions that address customer needs, and accelerating adoption within enterprises. You will engage in deep technical and business discovery, support the sales process through value-based selling, and collaborate with key partners, including hyperscalers (AWS, Azure, GCP) and strategic ISVs to drive joint go-to-market (GTM) initiatives. 

Responsibilities: 

Sales Process & Customer Engagement: 

• Lead technical discovery to understand customer challenges, pain points, and success criteria, ensuring solutions align with business objectives. 
• Drive value-based selling, clearly articulating Neo4j’s unique differentiators and ROI to both technical and business stakeholders. 
• Own the pre-sales engagement, delivering impactful presentations, live demonstrations, and competitive positioning. 
• Map customer requirements to relevant Neo4j product capabilities, using whiteboarding, workshops, and tailored solution architectures. 
• Develop proof-of-value (PoV) demonstrations and prototypes that showcase tangible business outcomes. 
• Work closely with the sales team to support deal qualification, opportunity progression, and conversion strategies. 
• Ensure smooth handoff to Professional Services, providing knowledge transfer to consulting teams and industry partners for successful implementation. 

Partner & Ecosystem Collaboration: 

• Work closely with key partners, including hyperscalers (AWS, Azure, GCP), ISVs, and system integrators, to drive joint solutions and co-sell initiatives. 
• Develop and deliver enablement programs for Neo4j’s strategic partners, ensuring they have the technical skills and sales acumen to position Neo4j effectively. 
• Collaborate on GTM strategies, helping design solutions that leverage hyperscaler services (e.g., AWS Neptune, Azure Cosmos DB, Google BigQuery) in combination with Neo4j to meet customer needs. 
• Engage with partner sales and technical teams to drive adoption, influence deal cycles, and execute joint marketing initiatives.

Community & Thought Leadership: 

• Support local marketing events, user groups, and Neo4j Community initiatives.
• Contribute to Neo4j’s thought leadership, delivering webinars, writing technical blogs, and speaking at industry conferences. 

Relevant Skills and Experience: 

• Strong value-based technical selling skills, aligning solutions to clear business outcomes and ROI
• Experience in technical discovery and consultative solutioning
• Solid understanding of data platforms and AI/ML (including LLMs and AI agents), with the ability to operationalise them in enterprise environments
• Proficiency in SQL, Python, and cloud technologies (AWS, Azure, GCP), with familiarity in containerisation (Docker) and Kubernetes
• Familiarity with data visualisation tools (BI, D3.js, Sigma.js, Linkurious)
• Strong communication skills across technical teams, executives, and partners
• Ability to operate in fast-paced, sales-driven environments with multiple engagements
• Experience with graph databases (Neo4j, Neptune, ArangoDB or similar) is a plus
• Industry experience in Financial Services, Retail, Government, Security, or Telecommunications is a plus

Qualifications: 

• 7 - 10 years of pre-sales, consulting, or customer-facing technical experience. 
• Bachelor’s or Master’s degree in a relevant field. 
• Experience working with partners, including hyperscalers, ISVs, and system integrators. 
• Ability to work independently in a cross-functional, global organisation.
•  Willingness to travel as needed for customer and partner engagements.

About Armada

Armada delivers sovereign, industrial-grade AI infrastructure designed to operate where traditional cloud and centralized data center models fall short. Our platform includes Atlas as the control plane, Galleon modular edge data centers powered by the Armada Edge Platform, and Leviathan, Armada’s AI Factory, which partners with Bridge, our GPU-as-a-Service offering. Together, these capabilities enable customers to deploy, operate, and scale AI workloads securely, efficiently, and close to where data is generated.

ANZ is a strategically important region for Armada, spanning highly regulated industries, large-scale infrastructure, and geographically distributed operations. Customers expect senior technical partners who can move quickly from deployment to production while maintaining strong governance, security posture, and long-term ownership.

Role Overview

The Senior Forward Deploy Engineer for ANZ is a hybrid role responsible for hands-on deployment execution and ongoing technical account ownership across Australia and New Zealand. This role combines the execution depth of a Forward Deploy Engineer with the long-term ownership and customer leadership of a Technical Account Manager.

In the early phases of engagement, the Senior FDE leads platform bring-up, deployment execution, and initial workload onboarding. Once customers are live, the same engineer remains the primary technical owner, driving adoption, operational maturity, reliability, and expansion across sites and use cases.

This role reports into the Sr. Director of Customer Success & Delivery, EMEA & ANZ is intentionally designed to avoid fragmented ownership between deployment and post-sale success. Success is measured by speed to production, deployment quality, customer confidence, platform adoption, retention, and expansion.

Key Responsibilities

Deployment execution and platform bring-up

• Lead end-to-end deployment of Armada platforms including Atlas, Galleon with AEP, and Leviathan AI Factory integrated with Bridge GPU-as-a-Service
• Execute deployments across the ND8 region, including multi-country and multi-site environments
• Own infrastructure bring-up, platform configuration, and production readiness validation
• Make real-time technical decisions across hardware, networking, Kubernetes, storage, and GPU layers

Technical account ownership and customer success

• Serve as the primary technical point of contact for assigned ANZ customers post go-live
• Own the technical success plan, adoption milestones, and operational maturity roadmap
• Build trusted, long-term relationships with customer engineering, IT, platform, and security teams
• Lead technical governance discussions, roadmap planning, and platform optimization conversations

Joint Success Plan ownership

• Build, maintain, and actively drive Joint Success Plans (JSPs) for each assigned customer
• Align deployment milestones, platform adoption, and operational maturity to customer business objectives
• Use the Joint Success Plan as the primary framework for prioritization, execution, risk management, and value tracking
• Regularly review progress against success plans with customer stakeholders and Armada leadership
• Ensure JSPs inform deployment sequencing, adoption strategy, roadmap discussions, and expansion planning
• Surface risks, dependencies, and blockers early and drive resolution with clear ownership

Time-to-value acceleration and adoption

• Reduce time-to-try and time-to-value by unblocking workloads and accelerating early production use cases
• Drive adoption across new workloads, business units, and countries
• Identify expansion opportunities including additional Galleon deployments and Leviathan AI Factory capacity through Bridge GPUaaS

Operational excellence and reliability

• Ensure customer environments remain stable, secure, and production-ready
• Proactively identify scaling risks, architectural gaps, and technical debt
• Coordinate with Product, Engineering, and Support teams to resolve issues efficiently

Data residency, security, and regulatory execution

• Operate confidently within ND8 data residency, privacy, and security expectations including GDPR-aligned requirements
• Support customer security reviews, audits, and governance processes
• Balance global delivery standards with local regulatory nuance and customer expectations
• Maintain disciplined access control, documentation, and operational hygiene

Field leadership and mentorship

• Act as a senior technical presence for ANZ customers, setting standards for execution and customer engagement
• Mentor junior FDEs, TAMs, and delivery engineers as the region scales
• Contribute to deployment standards, runbooks, and repeatable best practices

Cross-functional collaboration

• Partner closely with the Sr. Director of Customer Success & Delivery, EMEA & ANZ on ANZ priorities and escalations
• Work with Sales on expansion planning while maintaining a trusted post-sale posture
• Provide structured feedback to Product and Engineering teams based on real-world ND8 customer usage

Qualifications and Experience

• 8+ years of experience in infrastructure, platform engineering, SRE, forward-deployed engineering, or technical account roles
• Proven ability to own both hands-on delivery and long-term customer technical relationships
• Deep technical expertise across Linux, networking, Kubernetes, storage, and GPU-accelerated compute
• Strong troubleshooting skills in live, production environments
• Experience supporting enterprise customers across Australia and or New Zealand
• Willingness to travel across ANZ as required
• Clear, confident communication style suited for executive and senior engineering audiences

Preferred Experience

• Experience with edge compute, modular data centers, or distributed infrastructure
• Familiarity with AI workloads, GPU clusters, and high-performance computing environments
• Exposure to regulated, sovereign, or government-adjacent environments
• Experience operating in geographically large or remote operating environments
• Comfort operating with ambiguity and owning outcomes end to end

What Success Looks Like

• ANZ customer environments reach production quickly and operate reliably
• The same engineer who deploys the platform remains the trusted technical owner long-term
• Adoption expands across workloads, sites, and countries without handoff friction
• Customers view Armada as a strategic AI infrastructure partner due to consistent technical ownership
  
  

WHO WE ARE

Optiver is a global market maker founded in Amsterdam, with offices in London, Chicago, Austin, New York, Sydney, Shanghai, Hong Kong, Singapore, Taipei and Mumbai. Established in 1986, today we are a leading liquidity provider, with close to 2,000 employees in offices around the world, united in our commitment to improve the market through competitive pricing, execution and risk management. By providing liquidity on multiple exchanges across the world in various financial instruments we participate in the safeguarding of healthy and efficient markets. We provide liquidity to financial markets using our own capital, at our own risk, trading a wide range of products: listed derivatives, cash equities, ETFs, bonds and foreign currencies.

Optiver’s Sydney office is one of the primary players within Asian markets, trading a range of products. Established in 1996, we're an active participant on the Hong Kong, Korea, Singapore, Taiwan and Japan exchanges, and act as Optiver’s APAC head office. 

WHAT YOU'LL DO

We are seeking a highly skilled and experienced Software Engineers to join our dynamic team. In this hands-on role, you’ll design, build, and deploy sophisticated agents that orchestrate data, workflows, and decisions across the firm. You’ll own the full lifecycle—from rapid prototyping through production rollout—while always tying technical choices back to clear business outcomes. If you can translate strategy into code, measure impact in dollars (or hours saved), and thrive in a fast-moving environment, we want to meet you.

Key Responsibilities:

• Design and develop robust AI agents using Python.

• Integrate AI solutions with existing enterprise systems.

• Understand the landscape of 3rd party models, their strengths and weaknesses.

• Collaborate with cross-functional teams to understand user needs and deliver effective agents.

• Maintain a platform for the evaluation of agents.

• Produce high-quality, unit-tested code and uphold consistent style and documentation through code reviews and CI/CD practices.

• Troubleshoot and debug AI systems to ensure optimal performance.

WHO YOU ARE

• Bachelorʼs degree in Computer Science, AI, or related field.

• Deep familiarity with Python 3.x, including advanced features (asyncio, type hints, context managers).

• Solid understanding of software design patterns, object‐oriented design, and modular architecture.

• Excellent knowledge of Python, common AI/ML libraries and integration with 3rd party services.

• Some commercial or open source experience in developing AI agents with any of the well-known services.

• Experience with enterprise tools such as Git, Confluence and Slack.

• Strong problem-solving skills and ability to work in a dynamic environment

WHAT YOU'LL GET

• The chance to work alongside best-in-class professionals.
• Competitive remuneration, including an attractive bonus structure and additional leave entitlements.
• Training, mentorship and personal development opportunities.
• Gym membership plus weekly in-house chair massages.
• Daily breakfast, lunch and an in-house barista.
• Regular social events including an annual company trip.
• Guided relocation, a competitive relocation package and visa sponsorship where necessary.

DIVERSITY STATEMENT

Optiver is committed to diversity and inclusion, and it is hardwired through every stage of our hiring process. We encourage applications from candidates from any and all backgrounds, and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities.

PRIVACY DISCLAIMER

Optiver takes the protection of your personal information seriously and is committed to keeping your personal information safe and confidential. For full details about how Optiver uses your personal information in our recruitment process, please see our Privacy Policy.

I give permission to Optiver to contact me by email about Optiver roles, company updates, recruitment activities, and events relevant to my career. If you would prefer that we do not retain your personal information for this purpose please let us know by emailing us at careers@optiver.com.au.

WHO WE ARE

Optiver is a global market maker founded in Amsterdam, with offices in London, Chicago, Austin, New York, Sydney, Shanghai, Hong Kong, Singapore, Taipei and Mumbai. Established in 1986, today we are a leading liquidity provider, with close to 2,000 employees in offices around the world, united in our commitment to improve the market through competitive pricing, execution and risk management. By providing liquidity on multiple exchanges across the world in various financial instruments we participate in the safeguarding of healthy and efficient markets. We provide liquidity to financial markets using our own capital, at our own risk, trading a wide range of products: listed derivatives, cash equities, ETFs, bonds and foreign currencies.

Optiver’s Sydney office is one of the primary players within Asian markets, trading a range of products. Established in 1996, we're an active participant on the Hong Kong, Korea, Singapore, Taiwan and Japan exchanges, and act as Optiver’s APAC head office. 

WHAT YOU'LL DO

We are seeking a highly skilled and experienced AI Engineer to join our dynamic team. In this hands-on role, you’ll design, build, and deploy sophisticated agents that orchestrate data, workflows, and decisions across the firm. You’ll own the full lifecycle—from rapid prototyping through production rollout—while always tying technical choices back to clear business outcomes. If you can translate strategy into code, measure impact in dollars (or hours saved), and thrive in a fast-moving environment, we want to meet you.

Key Responsibilities:

• Design and develop robust AI agents using Python.

• Integrate AI solutions with existing enterprise systems.

• Understand the landscape of 3rd party models, their strengths and weaknesses.

• Collaborate with cross-functional teams to understand user needs and deliver effective agents.

• Maintain a platform for the evaluation of agents.

• Produce high-quality, unit-tested code and uphold consistent style and documentation through code reviews and CI/CD practices.

• Troubleshoot and debug AI systems to ensure optimal performance.

WHO YOU ARE

• Bachelorʼs degree in Computer Science, AI, or related field.

• Deep familiarity with Python 3.x, including advanced features (asyncio, type hints, context managers).

• Solid understanding of software design patterns, object‐oriented design, and modular architecture.

• Excellent knowledge of Python, common AI/ML libraries and integration with 3rd party services.

• Some commercial or open source experience in developing AI agents with any of the well-known services.

• Experience with enterprise tools such as Git, Confluence and Slack.

• Strong problem-solving skills and ability to work in a dynamic environment

WHAT YOU'LL GET

• The chance to work alongside best-in-class professionals.
• Competitive remuneration, including an attractive bonus structure and additional leave entitlements.
• Training, mentorship and personal development opportunities.
• Gym membership plus weekly in-house chair massages.
• Daily breakfast, lunch and an in-house barista.
• Regular social events including an annual company trip.
• Guided relocation, a competitive relocation package and visa sponsorship where necessary.

DIVERSITY STATEMENT

Optiver is committed to diversity and inclusion, and it is hardwired through every stage of our hiring process. We encourage applications from candidates from any and all backgrounds, and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities.

PRIVACY DISCLAIMER

Optiver takes the protection of your personal information seriously and is committed to keeping your personal information safe and confidential. For full details about how Optiver uses your personal information in our recruitment process, please see our Privacy Policy.

I give permission to Optiver to contact me by email about Optiver roles, company updates, recruitment activities, and events relevant to my career. If you would prefer that we do not retain your personal information for this purpose please let us know by emailing us at careers@optiver.com.au.

SUMMARY

As a Senior Solutions Engineer, you will be responsible for supporting our enterprise customers, reporting to the regional Manager, Solutions Engineering. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution.

We are focused on candidates located in Melbourne.

WHAT YOU’LL DO

• Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
• Provide presentations to our customers and prospective customers such as whiteboards,  product demonstrations, slides, and proof of value outcomes.
• Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
• Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
• Represent Wiz in technical forums such as trade shows, technical meet-ups, and industry events.

WHAT YOU’LL BRING

• Ability to deliver world class demonstrations and training experience to our customers
• Mastered the technical sales process
• Thrive in a creative technical role assisting customers to build a technical business delivery model
• Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers
• Cloud security experience
• AWS/Azure/GCP hands on experience
• Network engineering experience
• Strong operating system, virtual machine, and container knowledge
• Knowledge of risk-based security assessments and frameworks
• Understanding of cloud identity, access, certificates, and keys

BONUS POINTS: 

• Experience with traditional CSPM tools
• SaaS experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

About Buildkite

Buildkite's CI platform is trusted by the world's leading engineering teams, shipping software to over 1,000,000,000 daily users.

Job Overview

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.

🔧 About the Team

The Test Engine team helps engineering teams ship faster by giving them visibility and control over their test suites. Today, that means real-time flaky test detection and management, intelligent test splitting across parallel jobs, and performance analytics and tracing — all working across any CI/CD platform, not just Buildkite Pipelines.

Test Engine already ingests billions of test runs. We have deep visibility into test suites, codebases, and the relationships between them. The next step is using that data to answer a fundamental question: for a given code change, which tests are most likely to fail?

We believe the industry is moving away from running full test suites on every change. The teams that can shift their outer testing loop into a fast, precise inner loop — running only the tests that matter — will ship value to their customers dramatically faster. For many of our customers, that speed is existential. Switching costs are low, competition is fierce, and the teams with faster feedback loops win.

This is where ML comes in. If we can model the relationship between code changes and test failures, we can give engineering teams a fundamentally faster development cycle. We're not trying to optimise individual tests — we're trying to build a generalised solution to test selection that works across codebases, frameworks, and languages.

🚀 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 (test selection has to be fast enough to sit in the critical path), prediction accuracy trade-offs, and graceful degradation when confidence is low
• Shape how ML capabilities integrate with Test Engine's existing data infrastructure — billions of ingested test runs, test-to-code mapping, and the intelligent splitting engine

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 — connecting code change signals with test execution history at scale
• Train, evaluate, and deploy models, taking ownership through to monitoring and retraining in production
• Instrument production models with observability metrics: prediction accuracy, latency, coverage, false negative rates, and drift detection
• Solve the hardest technical challenges at the intersection of code analysis and test data — feature extraction from diffs, generalisation across languages and frameworks, and handling the cold-start problem for new tests and repositories

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, and ensure the product delivers real impact

🎨 Skills & Experience We Value

Technical Expertise

• Deep proficiency in Python, with strong experience building production ML systems end-to-end
• Proven experience designing and operating ML infrastructure at scale — model registries, feature stores, serving layers, experiment tracking, or similar
• Strong experience with data processing at scale — whether batch or streaming frameworks (Spark, Flink, or similar)
• Deep proficiency in SQL
• Comfort working in cloud environments (AWS) and with containerised workloads (Docker, Kubernetes)
• In short, we'd expect equal comfort and high level capability in the end to end process from designing and building models through to deploying them.

ML & Domain Experience

• Hands-on experience training, evaluating, and deploying ML models in production — you're a practitioner, not only an infrastructure builder
• Experience with classification, ranking, or prediction problems where the signal-to-noise ratio is challenging — test selection shares characteristics with anomaly detection, change-point detection, and predictive filtering
• Track record of building ML capabilities that scaled beyond a single use case — not just one-off models but repeatable, generalised approaches
• Experience with feature engineering from structured and semi-structured data (code diffs, execution logs, dependency graphs, or similar)
• Experience instrumenting production models with observability: accuracy, latency, coverage, drift

Collaboration and Communication

• Excellent written and verbal communication skills, especially in a remote-first environment
• Ability to distil complex technical concepts into clear explanations for diverse audiences
• A collaborative, pragmatic mindset — balancing technical quality with business context
• Comfortable mentoring engineers and leading technical discussions across teams
• 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 where you're predicting relevance from sparse signals
• Experience working with test frameworks or test execution data

✨ Why Join Buildkite

At Buildkite, we value kindness, autonomy, and collaboration. You'll be joining a remote-first company where your work directly helps some of the world's best engineering teams build and ship software faster and more safely.

• 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

We are seeking a skilled MLOps & Agentic Platform Engineer. This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure. The ideal candidate will have a strong DevOps/MLOps background and be adept at deploying scalable microservices and building observability dashboards.

Responsibilities:

• Manage model registries, continuous training loops, and A/B testing infrastructure.
• Deploy agents as scalable microservices on Kubernetes.
• Build observability dashboards to track token usage, latency, and agent reasoning paths.

Qualifications:

• Strong DevOps/MLOps background (Kubernetes, Docker, Terraform).
• Experience with MLflow, Weights & Biases, or LangSmith.
• Knowledge of building scalable microservice architectures.

About Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

As the founding leader of Applied AI Solutions Architecture in ANZ, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across Australian and New Zealand enterprises and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

You'll be responsible for building and leading the ANZ Applied AI team from the ground up. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships across Australia and New Zealand.

In collaboration with the Sales, Product, and Engineering teams globally and locally, you'll help enterprise partners across ANZ incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.

Responsibilities

• Build and manage the foundational team of Applied AI professionals in ANZ (Solutions Architects and Product Engineers) providing both technical guidance and career development
• Set goals and reviews for your team, promoting growth and output
• Work with a handful of highest-value enterprise customers across Australia and New Zealand on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution
• Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for ANZ enterprise customers
• Contribute to thought leadership through conference presentations, webinars, and technical content creation within the ANZ market
• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products
• Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
• Travel regularly to customer sites across Australia and New Zealand for executive-level sessions, technical workshops, and building relationships
• Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
• Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities
• Stay current with emerging AI/ML trends and competitive landscape in the ANZ enterprise tech sector, including the region's highly regulated industries (financial services, government, resources)

You may be a good fit if you have

• 15+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
• 5+ years of technical go-to-market management experience, specifically managing pre-sales teams
• Experience working with ANZ enterprise customers and understanding local business culture, procurement processes, and decision-making dynamics across Australia and New Zealand
• Familiarity with the ANZ regulatory landscape (e.g., Australian Privacy Principles, APRA CPS 234, data sovereignty requirements) and how it impacts enterprise AI deployments
• Experience with the unique technical requirements and technical procurement process of enterprise tech companies
• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
• Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment
• Have excellent communication, collaboration, and coaching abilities
• Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry
• Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
• Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general
• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
• Make ambiguous problems clear and identify core principles that can translate across scenarios
• Have a passion for making powerful technology safe and societally beneficial
• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
• Stay up-to-date and informed by taking an active interest in emerging research and industry trends
• Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies

We are seeking a highly skilled LLM Pre-training & Distributed Systems Engineer. This role is essential for orchestrating large-scale machine learning training runs and optimizing  distributed infrastructure. The ideal candidate will have a deep understanding of GPU clusters and extensive experience in system engineering to ensure efficient and reliable training processes.

Responsibilities:

• Orchestrate distributed training runs across 1,000+ GPUs using PyTorch, DeepSpeed, or Megatron-LM.
• Optimize networking (InfiniBand/RDMA) and memory management to prevent out-of-memory errors.
• Automate checkpointing and failure recovery during month-long training runs.

Required Skills:

• Deep expertise in 3D parallelism (Data, Tensor, Pipeline).
• Experience managing SLURM or Kubernetes-based GPU clusters.
• Strong systems engineering background (C++, CUDA, Python).

Passionate about building and deploying Machine Learning pipelines at scale to drive business value? Join our growing Data Science Team as our first Senior Machine Learning Operations (MLOps) Engineer!

What's in it for you?

As a Senior MLOps Engineer, you will work within our collaborative Data Science team to help deliver and accelerate multiple machine learning projects across our organisation.

Your role with us:

In your role with us, you will enhance our machine learning operations (MLOps), delivering: robust, scalable AWS cloud infrastructure and automation solutions, that empower our data science team. You will get the opportunity to work with petabyte-scale data across our global platforms, directly impacting millions of users.

Who are we?

At Easygo we proudly stand as a prominent service provider to a powerhouse of brands within the entertainment industry, including Stake.com, Kick.com and Twist Gaming. 

Stake is the world's largest crypto casino, and leads the industry with a seamless online casino and sportsbook experience.

Level up your online entertainment with Kick.com, the vibrant live-streaming platform, which connects millions of gamers and content creators worldwide.

All alongside the innovative game design studio, Twist Gaming, which takes creativity to new heights by crafting cutting-edge and captivating games. 

Our commitment to placing our clients and their communities' entertainment at the forefront of everything we do, has solidified us as the ultimate online service provider for entertainment companies.

Headquartered in the beautiful city of Melbourne, our growth has been remarkable. From humble beginnings to a thriving workforce of 700+, we've expanded not only in numbers but in ambition. There really is something for everyone here, whether you work in Tech, Marketing, Operations, Mathematics or Design, we are sure to have something for everyone.

Click play, on your career today!

What you will do:

• Lead the design, implementation, and maintenance of end-to-end ML infrastructure and automation solutions, from: development, to deployment and production monitoring.
• Drive cloud infrastructure and architectural decisions supporting large-scale ML workloads, leveraging Infrastructure as Code (IaC), particularly using Terraform. 
• Implement and maintain CI/CD pipelines, ensuring efficient model integration, deployment, and continuous delivery.
• Build and optimise monitoring, alerting and logging to ensure model reliability, performance and compliance.
• Collaborate closely with data scientists and stakeholders to identify infrastructure needs, streamline workflows, and effectively communicate complex technical concepts.
• Provide mentorship and technical guidance to junior MLOps engineers and data scientists to promote best practices in ML infrastructure.

What you will bring: 

Essential experience

• 5+ years of experience in MLOps, DevOps, Data Engineering and/or cloud infrastructure roles, preferably supporting data science or Machine Learning teams.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Expert proficiency in cloud infrastructure management using Terraform.
• Deep hands-on experience with major cloud platforms (AWS, Azure or GCP).
• Strong experience in building and maintaining CI/CD pipelines specifically for ML workloads.
• Proficiency with containerisation technologies (Docker, Kubernetes).
• Advanced proficiency in Python and scripting for infrastructure automation.

Bonus points if you also have:

• Experience within iGaming.
• Experience working with large volumes of data, preferably at petabyte-scale.
• Extensive experience with distributed computing and big data technologies (e.g. Spark, Hadoop).
• Familiarity with monitoring and observability platforms.
• Knowledge of data security, governance, and compliance practices relevant to ML operations.

Some of the perks of joining us:

• Access to over 9,000 courses across our Learning and Development Platform.
• EAP access for you and your family.
• Be rewarded with lucrative annual bonuses.
• Give back with a paid volunteer day.
• Fuel your day with daily breakfast and open pantries brimming with unlimited snacks and refreshments, all on the house.
• Break up the week with on site remedial massage Wednesdays.
• In house full-time barista’s providing you your daily coffee needs.
• Weekly team lunches and happy hour in the office from 4pm on Fridays.
• Enjoy a bustling office with the option for up to 2 days work from home per week.
• Fun office environment with F1 simulators, table tennis and all your favourite gaming consoles.

We believe that the unique contributions of everyone at Easygo are the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. We are passionate about providing a workplace that encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.

About the AI Research Team

The AI Research team at Algolia combines fundamental research with product engineering to deliver customer-facing AI-powered features.

The team is highly cross-functional, made up of PhD researchers, full-stack engineers, and infrastructure specialists working together to explore new ideas, validate impact, and bring successful research outcomes into production. While the work is research-driven, the output is real, customer-facing systems.

The Opportunity

We are looking for an embedded Senior Site Reliability Engineer to join the AI Research team as a full member of the group. In this role, you will support both the research and product-engineering aspects of the team by ensuring the stability, scalability, and operability of the infrastructure that enables this work.

This is a classic SRE role focused on cloud-first, service-oriented architectures running on Google Cloud Platform. While the team builds AI-powered systems, AI or ML experience is not required for this role. Our priority is strong SRE fundamentals, experience operating production services, and comfort working in an environment with ambiguity and high ownership.

You will play an important role in day-to-day execution as well as in longer-term (12-month) planning, helping shape how the team builds and operates its platforms over time.

What You’ll Work On

Platform Reliability & Enablement

• Support and evolve the reliability of platforms used by the AI Research team. Examples of our infrastructure work to date include:
• A production inference service (embedding model serving API)
• AI data feature store
• Internal tools used for novel research and experimentation
• Infrastructure that combines the above to enable offline testing of customer deployments to agentically discover configuration improvements.
  
  
• Ensure production services meet expectations for availability, latency, and operational readiness, particularly for systems that sit on customer-critical paths
  
  
• Design infrastructure and operational patterns that prioritize iteration speed while maintaining appropriate safeguards for production systems
  
  

Embedded Collaboration

• Work closely with researchers and engineers in a cross-functional setting, acting as an advisor on infrastructure, reliability, and operational concerns
  
  
• Participate directly in team planning and execution, from early exploration through production rollout
  
  
• Help researchers self-serve infrastructure safely and effectively, without becoming a bottleneck
  
  

Cloud Infrastructure & Operations

• Build and maintain Kubernetes-based services on GCP using infrastructure-as-code and GitOps (Terraform, ArgoCD)
  
  
• Own and improve CI/CD pipelines for services written primarily in Go, with some Python-based services
  
  
• Design and operate observability systems using tools such as Datadog
  
  
• Participate in an on-call rotation (relatively light), responding to incidents and helping improve systems over time
  
  

What We’re Looking For

Required Experience

• Strong experience operating cloud-first infrastructure
  
  
• Hands-on experience running production services on Kubernetes
  
  
• Proficiency with infrastructure-as-code (Terraform) and CI/CD systems
  
  
• Experience supporting production services written in Go (Python experience is a plus)
  
  
• Solid grounding in service reliability, incident response, and operational best practices
  
  
• Comfort working in environments with ambiguity, where problems are not always well-defined upfront
  
  

Nice to Have

• Experience supporting mission-critical internal platforms
  
  
• Exposure to research or experimentation-heavy environments
  
  
• Familiarity working alongside researchers or highly specialized domain experts
  
  

Explicitly Not Required

• AI, ML, or deep learning experience
  
  
• Model training, tuning, or ML framework expertise (e.g. PyTorch, JAX)
  
  

Ways This Role May Not Be a Fit

This role may not be a good match if:

• You are only interested in maintaining existing infrastructure without contributing to what is being built
  
  
• You want to work exclusively on customer-facing product features
  
  
• You are looking to avoid on-call or production systems entirely
  
  
• You are seeking narrowly defined work with low ambiguity and limited ownership
  
  
• You want to build or train AI models yourself rather than enable the systems around them
  
  

Why Join the AI Research Team

• High Impact: Your work directly enables new AI-powered capabilities that reach customers
  
  
• High Agency: You’ll help shape what gets built, how it’s built, and whether it’s worth building
  
  
• Strong Peers: Collaborate with experienced SREs, engineers, and PhD researchers
  
  
• Growth: Build expertise in research-adjacent infrastructure and platform reliability
  
  
• Flexibility: Australia-based role with remote-friendly culture; occasional off-hours collaboration may be required
  
  

About the role:

Responsibilities: 

• Qualify new sales opportunities by understanding customer requirements and converting it to Cresta technical requirements
• Partner with the Sales Directors to discover and understand the prospect's situation and the challenges that they are experiencing
• Lead discovery calls with prospective customers  & internal cross functional teams to build and deliver product demos. Solving problems for potential customers and demonstrating the value of Cresta product
• Provide your prospects with insights and learnings from your vast experience in helping customers improve their contact center and customer experience operations
• Drive adoption during proof of values by training individual managers and users on the Cresta solution
• Translate prospect use cases into brilliant technical solutions and demonstrate the path to ROI
• Deliver captivating product demos highlighting value propositions to get prospects excited about how Cresta will help them reach their goals
• Run ROI workshops to translate our solution into a financial business case proposal
• Provide feedback to product management about the successes and failures in the field

Qualifications We Value:

• 7+ years of experience in a customer facing role, and 1-3 years of experience in a technical pre-sales role selling to large enterprises
• Hands on experience of working with Conversational AI
• Highly organized
• Impeccable work ethic
• Desire to practice and prepare your presentation (or demo) meticulously, as you always strive for perfection
• Energy, enthusiasm and thoughtfulness in everything you doLearn new technology quickly and find it easy to explain technological solutions in terms of business value
• Natural problem-solver and extremely resourceful - garnering support from other people or teams in order to drive opportunities to closure
• Knowledge of Salesforce.com, contact center technologies a plus
• You embody our core Operating Principles

Perks & Benefits: 

• We offer Cresta employees a variety of medical benefits designed to fit your stage of life
• Flexible vacation time to promote a healthy work-life blend
• Paid parental leave to support you and your family

Compensation: 

Compensation for this position includes a base salary, variable (OTE), equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in Australia, and offer competitive local pay and benefits. Your recruiter can provide further details.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

Responsibilities:

• Developer Toolchain. Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.
• Ensure reliability of multi-cloud Kubernetes clusters and pipelines.
• Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.
• Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.
• Automate operations and engineering. Focus on automation so we can spend energy where it matters.
• Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

What we are looking for:

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About the role:

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable. 

As an AI Agent Engineer, you'll be at the forefront of deploying AI agents that address real-world challenges. In this role, you will work closely with customers as well as our software and machine learning engineers, ensuring high-impact AI Agent deployments and contributing to the continuous improvement of our core AI platform. You’ll develop intelligent AI agents, integrate them seamlessly with external systems and offer hands-on technical expertise to ensure successful deployments.. This position requires strong engineering skills, adaptability, and customer engagement. If you are self-driven, analytical, and eager to leverage AI in practical applications, this role is for you.

What You'll Do :

• AI Agent Development: Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools.
• System Integration: Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration.
• Performance Optimization: Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments.
• Requirements Gathering: Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions.
• Demos & Iteration: Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives.
• Project Coordination: Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery. Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings.
• Partner Cross-Functionally: Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI.
• Technical Guidance: Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage. Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning.

What We're Looking For:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience: 3+ years of full-time working experience in software development/Consulting, AI/ML engineering, or Forward Deployed Engineering.
• Programming Skills: Proficiency in Python and Golang, with the ability to write clean, efficient code.
• AI/ML Knowledge: Familiarity with AI/ML concepts. Hands-on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred.
• AI Agent Frameworks: Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG). Hands-on experience of building such a system is strongly preferred.
• Cloud & DevOps: Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring).
• Integration Expertise: Hands-on experience with integrating systems via APIs, webhooks, and data pipelines.
• Communication: Excellent communication and project management skills.
• Analytical Approach: Ability to use data-driven decision-making, including A/B testing and performance monitoring, to refine solutions.
• Collaborative Builder: You thrive in cross-functional environments, working hand-in-hand with PMs and engineers to turn real customer problems into scalable AI solutions.

Perks & Benefits:

We offer a comprehensive and people-first benefits package to support you at work and in life:

• We offer Cresta employees a variety of medical benefits designed to fit your stage of life
• Flexible vacation time to promote a healthy work-life blend
• Paid parental leave to support you and your family

Compensation at Cresta 

Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

CSQ327R50

Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence—and our customers challenge us every day to go further. As Manager, Professional Services for NSW, you will lead a high-performing team of Resident Solutions Architects and AI Engineers at the forefront of this transformation. Partnering with Databricks' most strategic enterprise accounts, you will shape how Australia’s leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. 

As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with ASX100 enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.

The impact you will have:

• Drive regional performance targets—including billable utilisation, team growth, and hiring—while championing delivery excellence and customer success across the ANZ Professional Services portfolio
• Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics
• Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality standards that scale with a growing RSA & AI Engineering practice
• Act as executive escalation point for critical customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive resolution
• Develop and retain exceptional technical talent: mentor Resident Solutions Architects and AI Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth

What we look for:

• 4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organisations—with a proven track record of building excellence-driven cultures
• 5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners
• Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Finance, Healthcare, Retail, Telco, or Energy
• Strong executive presence and stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level
• Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued

CSQ227R47

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.

The impact you will have:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

What we look for:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations 
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through AI
• [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets

CSQ227R47

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.

The impact you will have:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

What we look for:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations 
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through AI
• [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets

At Prospa, we exist to unleash the potential of small business. We are building the future of small business and simplifying cashflow by building a leading platform that helps customers make payments, fund growth and reduce admin. Join us!

The role

We’re looking for a Senior DevOps Engineer to join our Platform team and play a key role in building, scaling and operating highly available, secure and cost‑effective systems.

In this role, you’ll apply strong systems thinking and deep technical expertise to design scalable cloud platforms, drive DevOps best practices, and mentor engineers across the organisation. You’ll influence architectural decisions, lead cross‑team initiatives, and ensure our platforms are reliable, observable and secure.

As our platform evolves, you’ll increasingly support AI/ML workloads and agentic systems, enabling intelligent automation and next‑generation capabilities across the busines

What you'll be doing

• Infrastructure & Cloud Architecture: Design and operate scalable, secure and cost‑efficient cloud infrastructure using Terraform, Kubernetes and Azure
• Automation & CI/CD: Build, own and improve CI/CD pipelines and automation platforms that enable teams to self‑serve
• AI & Agentic Systems: Support AI and ML workloads, including infrastructure for model serving, inference and autonomous agents
• Monitoring & Observability: Establish strong monitoring, logging and incident response practices across complex platforms
• Security & Governance: Embed security, access controls and governance across infrastructure and AI/ML pipelines
• Technical Leadership: Mentor engineers, lead cross‑team initiatives and influence platform architecture and DevOps best practices

What you'll need to succeed

• Kubernetes: Hands-on production experience (required) — deployments, operators, networking, resource management
• Infrastructure as Code: Extensive, proven experience with Terraform at scale; ability to design reusable, maintainable patterns
• Cloud Platforms: Deep hands-on Azure experience; demonstrable expertise in VNets, peering, private endpoints, security groups, managed services
• Automation & Scripting: Proficiency in Python, PowerShell, and/or Bash; ability to write clean, maintainable automation code
• CI/CD Pipelines: Strong, hands-on experience designing and troubleshooting deployment pipelines; hands-on with both Azure Pipelines and GitHub Actions required
• Cloud Networking: Strong fundamentals — DNS, firewalls, WAF, load balancing, hub-and-spoke architectures, network security
• A security‑first mindset with experience in access control and governance
• Comfort working with AI and ML infrastructure, or a strong desire to grow in this space
• Proven ability to mentor engineers and influence technical direction
• A collaborative approach and passion for building reliable, scalable platforms

Don't let a confidence gap get in the way of submitting your application.

What we offer:

As a busy grow getter, our benefits are here to help you be unstoppable in your mission. Whether it's a lofty career goal, investing in your family, saving the planet or simply feeling fulfilled:

• Growth: There's something for everyone including learning days, a learning allowance, leadership programs, CliftonStrengths workshops, digital learning, and biannual companywide learning weeks.
• Wellbeing: Think fitness initiatives, seasonal programs (including flu shots, massages, skin checks, wellness classes), additional "Me Days" and access to holistic EAP coaching.
• Lifestyle: Find your fit with flexible working options, top notch office facilities and diverse remote/ travel work options. You can also purchase additional leave and take up to 18 weeks paid parental leave.
• Impact: Join a business that cares and is recertified as carbon neutral. And you can tap into volunteer days, our partnership with Kiva and join a range of employee resource groups.

Why Prospa?

We're proud to be a certified Great Place to Work and recognised as a Best Workplace for Women, Best Workplace in Technology, and Best Workplace in Australia. We embrace diversity in people and ideas, fostering a collaborative, inclusive, and respectful environment where we celebrate who you naturally are.

Don't just take our word for it, check out Prospa’s culture code to see it for yourself.

Who We Are

Build. Scale. Sustain. 

We are a global technology consultancy with a trademarked, AI-first engineering approach for accelerating the delivery of digital products, and revolutionizing platform modernization. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally: 5 continents, 10 countries, +500 experts from +50 nationalities across the Americas, Europe and APAC
• We are robust and resilient: 100% independent and 0 debt
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

About Gen-e2^TM

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Leveraging our 16 years expertise in digital transformation, our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents:

• We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design powered by GitHub Copilot.
• The quality consistently exceeds the output of our best traditional engineering teams.
• A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
• A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.
  With Gen-e2^TM, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Your Role 

As a Senior Fullstack Engineer within our Sydney team, you will lead the design, development, and delivery of modern applications using both traditional and AI-augmented engineering practices. You will architect scalable solutions, guide technical decisions, mentor engineers, and ensure delivery excellence across client engagements. 

This is a hands-on engineering role within a consulting environment, working directly with clients to deliver high-impact, scalable solutions. 

You’ll be joining an AI-first engineering organisation, where GitHub Copilot, internal tooling, and prompt-driven development accelerate delivery and elevate engineering quality. You will leverage AI throughout your development workflow and help uplift AI capability across the team. 

This role gives you the opportunity to take ownership of complex systems, influence architectural direction, and drive best practices across engineering squads. You’ll engage directly with clients, gather requirements, translate needs into technical solutions, and act as a trusted technical partner. 

You will work in small, high-performing interdisciplinary teams that collaborate closely, with pair programming, weekly knowledge-sharing sessions, and a supportive engineering community. Our hybrid working model allows focused work from home while maintaining a collaborative office culture with dedicated spaces for engineering squads. 

Responsibilities include: 

• Leading fullstack development across frontend and backend systems
• Architecting and designing scalable, secure, and maintainable solutions
• Guiding technical decision-making and ensuring engineering best practices
• Using AI coding tools (GitHub Copilot, Cursor) across development and troubleshooting
• Conducting thorough code reviews and supporting team-wide quality standards
• Mentoring mid-level and junior developers
• Engaging directly with clients to understand requirements and shape technical solutions
• Supporting DevOps and CI/CD automation workflows
• Identifying opportunities for AI enhancement within applications and development processes 

Who You Are 

Requirements: 

• 5+ years professional software development experience
• Strong expertise in ReactJS for frontend development
• Strong backend experience with Node.js, Java, or .NET
• Experience using AI coding assistants (GitHub Copilot, Cursor) in real projects
• Solid architectural and system design skills
• Strong communication and stakeholder engagement abilities
• Ability to mentor engineers and influence technical direction
• Strong understanding of programming fundamentals and modern design patterns
• Experience with DevOps, CI/CD pipelines, and cloud environments (AWS/Azure/GCP)
• Ability to gather requirements, challenge assumptions, and communicate solutions clearly 

Preferred: 

• TypeScript and modern JavaScript
• Microservices and cloud-native architectures
• AI/ML services or applied AI experience
• Mobile development (iOS, Android, Flutter, React Native)
• Prior consulting or client-facing delivery experience
• Experience leading technical discovery or solution framing 

Common technologies you may work with: 
React, TypeScript, Node.js, Java, .NET, cloud-native architectures on AWS/Azure/GCP, and modern DevOps toolchains. 

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company 
• Deliver projects with a positive impact
• Train 100% of our workforce on impact 
• Achieve B Corp certification among all our offices across the globe 
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training
• Entrepreneurship & intrapreneurship

For more on our team culture and benefits, check out our careers page.

We will be prioritizing applicants who have a current right to work in Australia, and do not require sponsorship of a visa.

PALO IT Australia is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT AU does not discriminate in employment opportunities or practices based on race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for PALO IT.

Your data will be processed to manage PALO IT’s recruitment-related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.palo-it.com/en/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request access, correction and/or withdrawal of your Personal Data.

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.

This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC’s technology and trading capabilities.

Your Core Responsibilities: 

• Develop large-scale distributed training pipelines to manage datasets and complex models
• Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
• Develop libraries to improve the performance of machine learning frameworks
• Maximize performance in training and inference using GPU hardware and acceleration libraries
• Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
• Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
• Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
• Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
• Dig into the internals of open-source ML tools to extend their capabilities and improve performance

Your Skills and Experience: 

• 5+ years of experience in machine learning with a focus on training or inference systems
• Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
• Strong engineering skills, including Python, CUDA, or C++
• Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
• Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
• Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
• Exposure to cloud platforms and orchestration tools
• A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus

#LI-DNP

At IMC, we believe technology is the foundation of our competitive edge — and machine learning is increasingly central to how we trade. Over the past few years, we've been steadily building our machine learning capabilities: developing infrastructure, growing our in-house GPU cluster, deploying models into production, and partnering closely with quant researchers and traders to generate real impact. Now we’re expanding the team, scaling our systems, and accelerating the application of deep learning in our research and execution workflows.  We're looking for a Principal Machine Learning Engineer to help shape the next phase of our platform — influencing architecture, driving best practices, and solving high-leverage problems. You’ll work alongside researchers and technologists to design the systems that power experimentation, training, and deployment of ML models — and help set the direction for how machine learning is done at IMC as we scale. If you’ve built ML infrastructure at scale elsewhere and are looking for a role where your ideas will genuinely help shape our firm’s future — we’d love to hear from you.

Your Core Responsibilities: 

• Design and build end-to-end infrastructure for training, evaluation, and productionization of ML models, working closely with our HPC engineers who manage our on-prem compute cluster
• Influence foundational choices around data access, compute orchestration, experiment tracking, model versioning, and deployment pipelines
• Partner with quant researchers to accelerate iteration cycles, tighten feedback loops, and bring models from prototype to live trading
• Work with researchers to adapt and deploy modern architectures — transformers, state-space models, temporal convolutions, graph neural networks — to noisy, high-frequency financial data. Explore techniques like self-supervised pretraining, representation learning, and cross-sectional modelling where they offer genuine edge
• Shape our approach to reproducibility, continual learning, and production monitoring across a petabyte-scale data environment
• Define standards that create consistency across teams and geographies; mentor engineers and influence technical culture beyond your immediate work
• Keep pace with developments in deep learning research and ML infrastructure; bring ideas from academia and industry into how we work — whether that's new architectures, training techniques, or tooling

Your Skills and Experience: 

• 8+ years of experience building ML platforms or infrastructure at a leading tech company, research lab, or quantitative firm
• A track record of designing and owning large-scale training and inference systems — not just contributing, but architecting
• Deep proficiency in Python, with strong experience in either CUDA or C++
• Hands-on expertise with modern deep learning frameworks (PyTorch, TensorFlow, or JAX) and practical experience implementing architectures like transformers, attention mechanisms, or sequence models
• Strong foundation in deep learning fundamentals: optimization, regularization, loss design, and the trade-offs that matter when training at scale
• Experience with distributed training at scale (Horovod, NCCL) and GPU optimization (cuDNN, TensorRT)
• History of deploying models to production with strong observability, reproducibility, and monitoring practices
• Comfort working across the ML stack from data pipelines to training infrastructure to serving systems

Why This Role: 

• Build, don't inherit — You'll make foundational technology choices in a platform that's still being defined, not maintain someone else's legacy.
• Real investment, real backing — This is a strategic priority with resources behind it, not a side experiment.
• Direct impact on trading — Your infrastructure will power models that make real trading decisions in competitive global markets.
• Global scope — Work with teams across New York, Chicago, Amsterdam, London, Sydney, Hong Kong and beyond; define practices that can scale worldwide.
• Ideas over titles — IMC's culture values clarity, rigor, and collaboration. The best ideas win, regardless of where they come from.
• Tight coupling with research — You won't be building in isolation. Researchers and engineers work side-by-side, iterating together.

#LI-DNP