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.

Monks is seeking an experienced client-facing Data Engineer (Marketing & BI) to drive data and analytics delivery across marketing, audience, and e-commerce engagements for both small and large enterprise clients. 

This is a hands-on role that blends business and data responsibilities. Your time will be split approximately 70% on client delivery and 30% internal (capability building, reusable assets, innovation, growth, etc). You’ll be focused on SQL-based data modelling and analytics delivery, and you’ll run client workshops and stakeholder management, while also building out solutions in the broader BI space, executing technical implementations across a range of analytics and cloud data platforms.

The ideal candidate has a history of working with modern data products (e.g. BigQuery, Snowflake, Databricks, Redshift), and a proven track record of experience with the modern data stack based on cloud technologies, including data transformation, orchestration, warehousing and modelling, as well as BI and dashboard design using tools like Looker Studio, Power BI or Tableau.

Why Monks?

In this role, you’ll help clients shape data pathways, translate data into insights and needs-based recommendations, deploy and configure the right tools, and improve data reliability, speed to insight, and KPI consistency. Working in the broader Data capability at Monks, this position offers opportunities for growth within our wider APAC data team with clear channels of progression into more senior roles, the ability to participate in innovation on projects and product development, and the potential to advance the practice of analytics and data from the forefront.

Key Responsibilities

• Lead requirements discovery and translate business questions into data/measurement solutions.
• Design data models (dimensional/star schemas) to support scalable reporting and self-serve analytics.
• Design and model data across various cloud data warehouses (BigQuery/Snowflake/Databricks/Redshift) from marketing, web/app, and e-commerce sources; exact platform varies by client.
• Articulate, design and develop BI dashboards and custom reporting experiences using tools such as Looker Studio, Power BI and Tableau.
• Establish data quality, monitoring, documentation, and governance practices.
• Partner with analytics/measurement teams on tracking approaches (GA4/GTM) to ensure usable downstream data.
• Present insights and recommendations to senior stakeholders; influence roadmaps, estimation and prioritisation.
• Contribute reusable assets (templates, data patterns, dashboard standards) to the wider Monks APAC data capability.
  
  

Requirements

• A minimum of 2+ years experience in data engineering / analytics engineering / BI engineering.
• At least 1 year experience in client-facing delivery, consultancy or agency 
• Expert SQL skills, primarily in an ETL/ELT context; we are BigQuery first, but some Python is also favoured.
• Strong dimensional modeling (star schemas), warehouse design, and metric/KPI definition for analytics use cases.
• Experience with BigQuery and at least one other cloud data platform (Snowflake, Databricks, Redshift, etc).
• Experience building BI dashboards (Looker Studio, Power BI, Tableau).
• Hands-on experience with mainstream analytics platforms and data collection approaches, including Google Marketing Platform tooling (GTM, GA4, etc) preferred
• Experience with transformation and orchestration tools including dbt, Airflow, Dagster or Prefect.
• Familiarity with broader enterprise BI platforms such as Looker (LookML/custom visualisations) or Datorama.
• An understanding of the adtech/martech/data landscape; CRM & CDP familiarity is a strong plus.

About Monks

Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI—managed by the industry’s best and most diverse digital talent—to help the world’s trailblazing companies outmaneuver and outpace their competition.

Monks was named a Contender in The Forrester Wave™: Global Marketing Services. It has remained a constant presence on Adweek’s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger’s Programmatic Power Players list every year (2020-24). In addition to being named Adweek’s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek’s Top 100 Global Most Loved Workplaces 2023.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.

#LI-CX1

The MongoDB Developer Productivity team provides a highly leveraged foundation of shared tools and services that support our product development process. We succeed when MongoDB product and engineering teams are able to deliver the best solutions to our customers through a highly effective software development process.

The Performance Infrastructure Team aims to make it as easy as possible for MongoDB engineers to test and improve the performance of MongoDB products. As a Software Engineer 2, you will work closely with performance-focused engineers across the organization to design, build, and maintain our world-class performance benchmarking system and supporting tooling.

This role requires a hybrid working model based out of our office in Sydney, Australia.

What we are looking for in you

• A Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field.
• A solid foundation in computer science fundamentals (data structures, algorithms, software design) and an ability to apply them to real problems.
• Proficiency in at least one modern programming language; Python is strongly preferred for this role, but experience in languages such as Go, Java, C++, or similar is also valuable.
• Experience writing and testing software via internships, personal projects, open source contributions, coursework, coding competitions, or research. You can point to code you’ve written that you’re proud of, and explain the trade-offs you made.
• An interest in or exposure to modern software delivery practices (e.g., CI/CD, containers, cloud platforms, observability tooling), and curiosity to go deeper. Prior hands-on experience is a plus but not a requirement for success in this role.
• Growing skills in clear written and verbal communication: you can explain what you’re working on, ask good questions, and incorporate feedback. You’re motivated to keep improving in this area.
• A growth mindset: you seek feedback, learn from mistakes, and look for opportunities to take on slightly more complex work over time.
• We do not expect you to arrive as a performance expert or infrastructure specialist. We are looking for early-career engineers who are excited to learn how large-scale systems are built, measured, and improved, and who want to grow into owning more complex projects over time.

What you'll find at MongoDB

As a Software Engineer 2 on Performance Infrastructure, you will:

• Design, implement, and test features and bug fixes in our performance tooling and infrastructure, primarily using Python, with guidance from more senior engineers where needed.
• Contribute to performance workloads and benchmarking pipelines used to evaluate MongoDB across releases, platforms, and configurations, helping the broader organization understand how changes affect our products.
• Maintain and improve existing performance testing software by refactoring code, improving test coverage, and simplifying developer experiences for MongoDB engineers who use our tools.
• Work with teammates to debug and diagnose performance or reliability issues, learning how to use internal observability tools, logs, traces, and metrics to narrow down root causes.
• Participate actively in code reviews, both as an author and as a reviewer, asking clarifying questions and incorporating feedback to improve code quality and maintainability.
• Help keep our documentation, runbooks, and “getting started” guides for performance tooling accurate and approachable, especially for other early-career engineers and internal users.
• Build strong working relationships with engineers across MongoDB, representing user needs and pain points you encounter in your work and through support requests from other teams.
• Over time, take end-to-end ownership of small-to-medium-scoped projects, including breaking work into incremental pieces, communicating progress, and delivering improvements that meaningfully impact developer productivity and performance testing reliability.
• You will be supported by a manager and teammates who will help you scope your work appropriately for your experience level, while expecting you to become increasingly independent as you grow in the role.

Success measures

We measure success for this role along both impact and growth, consistent with MongoDB’s expectations for early-career software engineers.

In 1 month

• You have a basic understanding of our primary tools, systems, and team workflows, and can set up and run our core performance workloads locally or in CI with guidance.
• You have completed several small, well-scoped tasks (documentation fixes, simple bug fixes, or small quality-of-life improvements) and learned our code review and release processes.
• You are comfortable asking questions, pairing with teammates, and using internal channels to get unblocked.

In 3 months

• You are independently productive in familiar areas of the codebase, taking well-defined tickets from design to implementation, test, and deployment with limited supervision.
• You have contributed meaningfully to at least one performance-related feature or improvement, such as a new workload, better observability, or test stability work, and can explain its impact on our users (MongoDB engineers) and downstream teams.
• You troubleshoot and resolve moderately complex bugs with help from teammates, and you routinely file clear follow-up tickets when you discover gaps in tests, docs, or tooling.

In 6 months

• You can own small-to-medium complexity projects in areas you know well, including breaking work into incremental changes, estimating effort with your manager, and keeping stakeholders up to date on progress and risks.
• You show good judgment in balancing quality and velocity, knowing when to ship a pragmatic solution and when to slow down to pay down technical debt or add tests.
• You increasingly contribute to improving our tools and processes, e.g., suggesting changes to make performance runs more reliable, clarifying documentation, or reducing friction in common workflows.

In 12 months

• You are a trusted contributor on the Performance Infrastructure team: your team and manager are confident relying on you to take on new work in your core areas with minimal day-to-day supervision.
• You have made one or more visible improvements to our performance tooling, workloads, or developer experience that meaningfully improved reliability, debuggability, or usability for MongoDB engineers.
• You demonstrate readiness for higher level work: taking on more ambiguous tickets, thinking about the broader system impact of your changes, and helping newer engineers onboard to the team’s tools and practices.

About Us

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your Early Talent Recruiter.

MongoDB is an equal opportunities employer.

Req ID: 4263290434

Building on the rapid success and adoption of MongoDB, we are delivering applications and services that make it much easier to manage and scale database deployments. These next-generation systems are a growing list but currently include products such as Atlas (https://cloud.mongodb.com), Cloud Manager and Compass.

MongoDB Technical Services Engineers use their outstanding problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are specialists in the entire MongoDB ecosystem - database server, drivers, our management suite, and services such as Cloud Manager (the online product we developed for customers for automation, backup, monitoring, and analysis of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork, and a great sense of humor to achieve exceptional results for our customers.

The position will be based in our Sydney or Melbourne offices. The standard work week post ramping will be Sunday to Thursday, every week.

Why MongoDB is a fantastic place to work and build your career

• Be a part of the company that’s reinventing the database, passionate about innovation and speed
• Enjoy a fun, inspiring culture that is engineering focused
• Work with exceptionally talented people around the globe
• Learn, contribute, and make an impact on the product and community

Cool things you’ll do

MongoDB is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people.

You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - working with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. 

MongoDB Technical Services puts a strong focus on engineers enabling their peers to be successful by sharing newly gained technical knowledge with the team, either via informal one-to-one conversations, or training and workshop sessions. By documenting solutions in our knowledge platform, TSEs will increase the efficiency of our customers, other team members and departments throughout MongoDB. 

What you need

You should have 4+ years of proven experience, we consider all candidates with an eye for those who are self-taught, insatiably curious, and multi-faceted.

The ideal candidate should have a mix of experience in most of the following areas: 

• Strong diagnostics and troubleshooting experience, with the ability to analyse issues holistically, from the application tier, to database to storage
• Broad awareness of customer workloads and use cases, including performance, availability, and scalability
• Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting
• Ability to read code, and basic coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, JavaScript, Node.js, Go, etc
• Good understanding of Networking concepts and protocols (DNS, TCP/IP, SSL/TLS, etc.)
• Storage engineering experience, including NAS, RAID, SAN, SSD, multi-pathing, and caching
• Experience supporting complex mission-critical product applications and database systems (RDBMS or non-relational)

You should possess a genuine desire to help people, the ability to think on your feet and remain calm under pressure while solving problems in real-time. There’s a lot to learn, so the desire and ability to rapidly learn a wide variety of new technical skills is paramount. We work in a collaborative team environment, so a willingness and ability to get help from team members when required, and good judgment to know when to seek help, is essential. We also aim to have diverse technical backgrounds and therefore different subject matter expertise is welcome.

You do not need to have prior experience with MongoDB. We can teach you that! 

Bonus Points

• Fluency in conveying technical discussion in Mandarin
• Experience with authentication systems such as LDAP, Kerberos, AD
• Experience using or managing MongoDB
• Experience using distributed version control systems, and in particular git
• Experience using any cloud services stack such as AWS, Azure or GCP
• Experience with Kubernetes or other orchestration systems using vendor-specific Enterprise operators

Success Measures

• In 3 months, you’ll have gained a deep understanding of MongoDB and its ecosystem. You will complete New Hire Training
• In 6 months, you will be comfortable working frontline with our customers. You will also complete the MongoDB Certified DBA Associate exam
• In 12 months, you will be a part of a technical experts group within MongoDB and will be helping your peer engineers in advance diagnostics. Also, you will be encouraged to handle technical escalations independently

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 1273397152

MongoDB is growing its team in Sydney, focusing on building intelligent tools that help customers understand and modernise their application codebases. The Application Modernisation Platform (AMP) guides customers through the entire journey of modernising their applications — from legacy relational platforms to modern, scalable systems built on MongoDB. The App Analysis & Modelling team owns the critical first stage of this journey: building the context that powers everything downstream. The team builds code analysis tools that construct code dependency graphs and generate deep insights for codebases, giving customers a clear understanding of their existing applications before transformation begins. The team also designs schema recommendation engines that analyse signals such as existing relational schemas and query patterns to inform data modelling decisions. Our work sits at the intersection of analysis, data modelling, and AI — helping developers make confident, data-driven decisions as they transition to MongoDB.

We are looking for a Senior Software Engineer who is passionate about building scalable backend systems and applications. As we expand our use of AI to power smarter analysis and recommendations, the ideal candidate will bring strong backend engineering fundamentals with the ability to contribute across the full stack. You will collaborate closely with product management and other engineering teams to design and deliver cutting-edge features that guide customers through complex modernisation journeys.

We are looking to speak to candidates who are based in Sydney for our hybrid working model.

The ideal candidate will have

• 5+ years of commercial software development experience with strong proficiency in Python and/or Java
• Extensive Experience designing and building scalable, high-performance APIs and backend services
• Solid understanding of relational data modelling and SQL (Oracle, PostgreSQL, MySQL, or similar), including schema design and query optimisation
• Good understanding of algorithms, data structures, and their time and space complexity
• Experience with frontend development using React and TypeScript, or a demonstrated willingness and ability to work across the full stack
• Degree in Computer Science or a similar field, or equivalent practical experience
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to have

• Experience building AI-powered features, including working with Large Language Models (LLMs) and agentic workflows
• Experience with code analysis, static analysis tooling, or building tools that traverse and interpret code structures programmatically
• Familiarity with MongoDB
• Experience with cloud-native distributed systems (e.g., Kubernetes or similar)
• Contributions to open-source projects

Position Expectations

• Contribute high-quality, well-tested code to the App Analysis & Modelling team’s backend and frontend services
• Design and build scalable APIs and data pipelines that power code analysis and schema recommendation features
• Collaborate effectively with Product Management, other engineers, and designers to build and deliver on the product roadmap
• Participate actively in code reviews to enforce best practices and maintain a high bar for code quality
• Give and solicit feedback on technical design documents and pull requests
• Help troubleshoot and resolve complex technical issues across the stack
• Perform tasks related to engineering process such as CI/CD, quality, and testing

Success Measures

Within the first three months, you will have:

• Familiarised yourself with the MongoDB database and aggregation language
• Familiarised yourself with the backend tech stack including Python, Java, and our API infrastructure
• Set up your software development environment and begin contributing to the codebase
• Started collaborating with your peers and contributed to code reviews and design discussions

Within six months, you will have:

• Familiarised yourself with the full stack including the React/TypeScript frontend
• Worked on and delivered a large-scale feature in the product
• Contributed to and helped deliver multiple product releases
• Reviewed and contributed to scope and technical design documents

Within twelve months, you will have:

• Become a key contributor to the team, capable of owning complex features independently
• Delivered at least one large-scale feature that spans the entire tech stack
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

We are looking to speak to candidates who are based in Sydney for our hybrid working model.

About the Job

The worldwide data management software market is massive (According to IDC, the worldwide data management software market was approximately $106 billion in 2025, growing to approximately $153 billion in 2028). At MongoDB, we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

MongoDB is growing its team in Sydney, focusing on building intelligent tools that help customers understand and modernise their application codebases. The Application Modernisation Platform (AMP) guides customers through the entire journey of modernising their applications — from legacy relational platforms to modern, scalable systems built on MongoDB. The App Analysis & Modelling team owns the critical first stage of this journey: building the context that powers everything downstream. The team builds code analysis tools that construct code dependency graphs and generate deep insights for codebases, giving customers a clear understanding of their existing applications before transformation begins. The team also designs schema recommendation engines that analyse signals such as existing relational schemas and query patterns to inform data modelling decisions. Our work sits at the intersection of analysis, data modelling, and AI — helping developers make confident, data-driven decisions as they transition to MongoDB.

We are looking for a Software Engineer who is passionate about building scalable backend systems and applications. As we expand our use of AI to power smarter analysis and recommendations, the ideal candidate will bring strong backend engineering fundamentals with the ability to contribute across the full stack. You will collaborate closely with product management and other engineering teams to design and deliver cutting-edge features that guide customers through complex modernisation journeys.

The Ideal Candidate Will Have

• 3+ years of commercial software development experience with strong proficiency in Python and/or Java
• Experience designing and building scalable, high-performance APIs and backend services
• Solid understanding of relational data modelling and SQL (Oracle, PostgreSQL, MySQL, or similar), including schema design and query optimisation
• Good understanding of algorithms, data structures, and their time and space complexity
• Experience with frontend development using React and TypeScript, or a demonstrated willingness and ability to work across the full stack
• Degree in Computer Science or a similar field, or equivalent practical experience
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Experience building AI-powered features, including working with Large Language Models (LLMs) and agentic workflows
• Experience with code analysis, static analysis tooling, or building tools that traverse and interpret code structures programmatically
• Familiarity with MongoDB
• Experience with cloud-native distributed systems (e.g., Kubernetes or similar)
• Contributions to open-source projects

Position Expectations

• Contribute high-quality, well-tested code to the App Analysis & Modelling team’s backend and frontend services
• Design and build scalable APIs and data pipelines that power code analysis and schema recommendation features
• Collaborate effectively with Product Management, other engineers, and designers to build and deliver on the product roadmap
• Participate actively in code reviews to enforce best practices and maintain a high bar for code quality
• Give and solicit feedback on technical design documents and pull requests
• Help troubleshoot and resolve complex technical issues across the stack
• Perform tasks related to engineering process such as CI/CD, quality, and testing

Success Measures

Within the first three months, you will have:

• Familiarised yourself with the MongoDB database and aggregation language
• Familiarised yourself with the backend tech stack including Python, Java, and our API infrastructure
• Set up your software development environment and begin contributing to the codebase
• Started collaborating with your peers and contributed to code reviews and design discussions

Within six months, you will have:

• Familiarised yourself with the full stack including the React/TypeScript frontend
• Worked on and delivered a large-scale feature in the product
• Contributed to and helped deliver multiple product releases
• Reviewed and contributed to scope and technical design documents

Within twelve months, you will have:

• Become a key contributor to the team, capable of owning complex features independently
• Delivered at least one large-scale feature that spans the entire tech stack
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

About the Team

The International Analytics team is looking for a Data Scientist to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our logistics platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash!

About the Role

Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. It is NOT just about building Machine Learning models and putting them into production. This is a rare operational and actionable data-driven experience. 

We solve many exciting challenges from all three sides of our marketplace including customer acquisition and growth, fraud and support, marketing, balancing supply and demand, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos and turning them into explainable, actionable insights, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!

You're excited about this opportunity because you will…

• Be a first-class thought partner to our product, business, finance and executive teams and help them make decisions on what’s next for DoorDash
• Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
• Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools
• Identify and measure levers to help move essential metrics and make recommendations
• Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings
• Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends
• Possess excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering while prioritizing competing needs

We're excited about you because you have…

• 2+ years of experience in data analytics, consulting, or related quantitative role
• The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
• Experience leading /owning strategic projects to completion with multiple cross-functional teams
• Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing
• Proficiency in at least one programming language, preferably Python or R
• Very experienced with SQL queries, Basic ETL, Regression techniques 
• Proficiency in one or more analytics & visualisation tools

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About the Team

At DoorDash, the Data Science and Analytics team uncovers insights and translates them into actionable recommendations that drive decisions across the organisation. Analytics is integral to all areas of DoorDash, and this role sits within the global team with a specific focus on the ANZ markets.

About the Role

The Data Science and Analytics team is looking for a Marketing Analytics Manager to guide measurement, strategy, and decision-making across our Australia and New Zealand marketing efforts. You will take strong ownership of projects and drive them to completion, collaborating with a range of cross-functional teams.

Some of the impactful projects you will work on include:

• Deep diving into results from digital A/B tests to generate insights that improve marketing performance
• Analysing campaign results and presenting insights to leadership
• Exploring our customer base to identify target segments and optimise marketing strategies
• Scaling measurement and reporting solutions to set us up for future success.

You're excited about this opportunity because you will…

• Be a trusted thought partner to our Marketing, Finance, and Executive teams, helping shape decisions on ‘what’s next’ for DoorDash
• Design and analyse experiments to measure the ROI of our digital marketing spend and develop actionable recommendations
• Generate insights on customer segments and our most valuable consumers to identify opportunities to improve marketing performance
• Work with agencies and third-party vendors to develop and implement measurement solutions
• Contribute to global reporting on the impact of brand marketing campaigns to inform channel investment decisions
• Leverage AI to develop tools and workflows that enable marketing stakeholders to self-serve and democratise insights.

We're excited about you because you have…

• Degree in a quantitative field (e.g. Economics, Statistics, Mathematics) and 7+ years of industry experience in a quantitative analysis role
• Experience in marketing science or analytics is strongly preferred
• Ability to communicate clearly and effectively with cross-functional partners of varying technical levels and drive impact
• Entrepreneurial mindset with a demonstrated ability to own projects from start to completion in a fast-paced environment
• Excellent communication skills and proven experience working with cross-functional stakeholders
• Ability to use back-of-the-envelope modelling and thought experiments to guide decision-making in highly uncertain environments
• Strong attention to detail, with the ability to think deeply about analytics and measurement problems to derive actionable insights
• Familiarity with multivariate regression
• Experience with experimentation techniques (A/B testing, causal inference) and interpreting hypothesis testing
• Proficiency in at least one programming language (preferably Python; R or another language is also acceptable)
• Strong experience with SQL and basic ETL processes
• Proficiency in one or more analytics and visualisation tools.

As a Software Developer Intern at Optiver, you’ll work alongside experienced engineers to develop innovative solutions that enable us to respond to the financial markets at lightning-fast speeds. In just a few weeks, you could develop latency-critical applications that contribute towards our trading success. 

By the end of the 10-week internship, you’ll have deepened your understanding of how technology is used in the quantitative trading industry. Plus, if you’ve excelled over the summer, you’ll receive an offer to return as a Graduate Software Developer. 

What you’ll do 

Led by our in-house education team that consists of former traders and engineers, you’ll delve into advanced engineering concepts and lead innovative projects. Whether it's developing ultra-low latency exchange protocol encoders and decoders, or fine-tuning our automated trading strategies and pricing models, you’ll work closely with traders and other engineers to build simple, well-architected solutions that meet the needs of our business. 

You’ll experience the excitement of a fast-paced development cycle – owning a tight feedback loop, testing and shipping your code to production. You could be working on a change to a trading system in the morning and see it run live by the afternoon. No two days are the same, and it’s up to you and your team to drive our success in the ever-evolving capital markets. 

Aside from technical skills, our dedicated education team will also work with you on your development, including:   

• Workshops on a variety of tech-based topics, along with soft skills to support your holistic growth as a developer. 

• A dedicated mentor who will guide you through our development process and how our trading systems work. 

• Trader training to get you up to speed on our business. This helps you understand the fundamentals of trading, enabling you to make an impact from the early stages of your Optiver career. 

Find your niche in technology  

We offer a range of opportunities in our technology teams. Discover the exciting projects that you could work on during your internship.  

• Read Nicole's story on working in our Statistical and Index Arbitrage team to develop position-taking strategies that predict price moves. 

• Read Brenda’s story on delivering low-latency, high-throughput systems that improve our connectivity to the financial market. 

• Read Richard’s story on navigating the world of automated trading – systems that make trading decisions. 

• Read Marcus’ story on working in the risk and treasury team, where he monitors systems that manage and mitigate risk (e.g. trading risk). 

• Read Lena’s story on production engineering, where they build tools and systems that enable us to trade smoothly. 

What you’ll get 

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the most complex problems in the financial markets.  

In addition, you’ll receive: 

• A highly competitive remuneration package. 

• Optiver-covered flights and accommodation for the duration of the internship. 

• The opportunity to work alongside best-in-class professionals. 

• Training, mentorship and personal development opportunities. 

• Gym membership, plus weekly in-house chair massages. 

• Daily breakfast, lunch and in-house barista. 

• Regular social events. 

Who you are 

• A penultimate university student. If you are a pre-penultimate university student, discover our 2026 FutureFocus program.

• An Australian or New Zealand Citizen, Australian Permanent Resident or able to provide evidence of full working rights. 

• Studying a Computer Science, Software/Electrical/Mechatronic Engineering or similarly technical degree. 

• Problem solver who will enjoy building high-performing, low latency designs that critically impact trading success. 

• Curious to learn and comfortable exploring complex technical ideas. 

• Have a range of out-of-classroom projects or extra-curricular activities that demonstrates your passion in technology, particularly software development. 

• Excited to work alongside the best developers and traders in the industry, with the humility to continually upskill and improve yourself. 

• Knowledgeable about object-orientated design and development concepts (experience with C++, Java or Python is required for our technical assessment).  

Diversity statement  

Optiver is committed to diversity and inclusion. We encourage applications from candidates from all backgrounds, and welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities. 

Questions? Get in touch with the team at careers@optiver.com.au.  

We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can re-apply when the next recruitment season begins in 2027. 

Optiver’s Global Production Operations Engineering team is at the heart of our real-time trading systems, ensuring they operate with the highest levels of reliability, performance, and scalability. As Team Lead, you’ll play a pivotal role in shaping how we manage our production environment across APAC and globally — combining hands-on technical leadership with strategic oversight to drive operational excellence.

This role offers the unique opportunity to lead a high-performing team of engineers responsible for evolving the platforms that power Optiver’s low-latency trading operations. Your leadership will directly impact system resilience, incident response, automation, and business performance in high-stakes markets. Trading at Optiver requires bulletproof infrastructure — and your team will be the one keeping it that way. This is your chance to drive meaningful change in a globally distributed, high-impact environment where engineering excellence directly fuels business success.

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

As a hands-on leader, you’ll be responsible for:

• Leading and developing a world-class team of Production Operations Engineers, including hiring, coaching, and fostering a culture of ownership, accountability, and continuous learning.

• Driving strategy and execution across our global trading production environment, ensuring system uptime, scalability, and performance — especially during peak market activity.

• Designing and managing global support coverage, including a follow-the-sun model to ensure 24/7 reliability and seamless handovers across regions.

• Establishing operational standards including SLAs, KPIs, and control frameworks that ensure discipline, audit-readiness, and high service quality.

• Owning the incident lifecycle — from real-time response to root cause analysis and long-term remediation — embedding lessons learned into processes and tooling.

• Leading improvements in automation, deployment workflows, and monitoring, reducing manual effort and increasing system robustness and agility.

• Ensuring production readiness for new exchanges, trading strategies, and infrastructure changes, coordinating across development, trading, and infrastructure teams.

• Managing colocation environments and ensuring adequate redundancy, performance headroom, and operational capacity planning.

• Contributing technically to platforms, tools, and processes that enhance operational leverage, observability, and fault tolerance.

• Representing the team in leadership forums, advocating for production priorities, and aligning team objectives with broader business goals.

WHO YOU ARE

You are a pragmatic, calm, and strategic engineering leader who thrives in high-performance, mission-critical environments. You know how to balance operational safety with system performance, and people leadership with technical ownership.

Leadership & Communication

• Proven success leading technical operations, SRE, or production engineering teams in real-time or low-latency environments.

• Strong organizational skills with experience managing multi-region support and coordinating global rosters.

• Skilled communicator who can align business and technical stakeholders, provide clarity under pressure, and drive cross-functional collaboration.

• Passionate about coaching, developing, and retaining top engineering talent.

Technical & Operational Expertise

• Deep expertise in Linux-based distributed systems, ideally in capital markets, trading, or similarly fast-paced environments.

• Strong proficiency in scripting and automation tools (e.g., Python, Bash), CI/CD pipelines, and observability systems.

• Demonstrated experience defining and managing SLAs/SLOs, with a data-driven approach to improving reliability and performance.

• Comfortable leading incident response in high-pressure scenarios and building systems that prevent recurrence. This role is 40% operational. 

• Experience with colocation infrastructure, system tuning, and real-time telemetry is highly valuable.

• Exposure to high-frequency trading or low-latency financial systems is a strong plus.

WHAT YOU'LL GET

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool, fostering a truly collaborative environment.

• The chance to work alongside diverse and intelligent peers in a rewarding environment.

• Training, mentorship and personal development opportunities.

• Daily breakfast, lunch and an in-house barista.

• Gym membership plus weekly in-house chair massages.

• Regular social events, including a company trip every two years.

• Guided relocation, a competitive relocation package and visa sponsorship where necessary.

DIVERSITY STATEMENT

Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.

Questions? Get in touch with the recruitment team at careers@optiver.com.au.

As a Graduate Software Developer at Optiver, you’ll work at the forefront of innovation, developing innovative solutions that enable us to respond to the financial markets at lightning-fast speeds. You’ll take ownership of critical projects, constantly innovating and optimising code to keep our firm competitive in the ever-evolving capital markets. 

If you own superior problem-solving and enjoy exploring complex technical ideas, you are the ideal candidate for this role. Join us and be a part of a dynamic team where you can make a meaningful impact. 

Please note, our formal applications for Graduate opportunities are currently closed. We are seeking expressions of interest for our 2026 campaign and would love to hear from you! Please complete this application to join our 'Talent Community' so that we can keep you up to date with suitable upcoming vacancies. 

What you’ll do 

Your onboarding and training 

Kickstart your training in the Optiver Tech Academy, our global training program in Amsterdam. As part of the comprehensive training program, you’ll master the principles, systems and technologies used to build Optiver’s industry-leading trading systems, as well as discover how we work as a collective to build our world-class solutions. This opportunity will not only broaden your global network and equip you with cross regional knowledge, it will also empower you with the skills needed to excel in your career at Optiver. 

Your responsibilities  

From your first day on the team, you'll have the autonomy and responsibility to make decisions that create an immediate impact. Whether it's developing ultra-low latency exchange protocol encoders and decoders, or fine-tuning our automated trading strategies and pricing models, you’ll work closely with traders and other engineers to build simple, well-architected solutions that meet the needs of our business. 

You’ll experience the excitement of a fast-paced development cycle – owning a tight feedback loop, testing and shipping your code to production. You could be working on a change to a trading system in the morning and see it run live by the afternoon. No two days are the same, and it’s up to you and your team to drive our success in the ever-evolving capital markets.  

Find your niche in technology  

We offer a range of opportunities in our technology teams. Discover the exciting projects that you could work on during your graduate program.  

• Read Nicole's story on working in our Statistical and Index Arbitrage team to develop position-taking strategies that predict price moves. 

• Read Brenda’s story on delivering low-latency, high-throughput systems that improve our connectivity to the financial market. 

• Read Richard’s story on navigating the world of automated trading – systems that make trading decisions. 

• Read Marcus’ story on working in the risk and treasury team, where he monitors systems that manage and mitigate risk (e.g. trading risk). 

• Read Lena’s story on production engineering, where they build tools and systems that enable us to trade smoothly. 

What you’ll get 

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the most complex problems in the financial markets.  

In addition, you’ll receive: 

• A highly competitive remuneration package. 

• The opportunity to work alongside best-in-class professionals. 

• 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

Who you are 

• Final year university student or recent graduate. 

• An Australian or New Zealand Citizen, Australian Permanent Resident or able to provide evidence of full working rights. 

• Studying a Computer Science, Software/Electrical/Mechatronic Engineering or similarly technical degree. 

• Problem solver who will enjoy building high-performing, low latency designs that critically impact trading success. 

• Curious to learn and comfortable exploring complex technical ideas. 

• Have a range of out-of-classroom projects or extra-curricular activities that demonstrates your passion in technology, particularly software development. 

• Excited to work alongside the best developers and traders in the industry, with the humility to continually upskill and improve yourself. 

• Knowledgeable about object-orientated design and development concepts (experience with C++, Java or Python is required for our technical assessment).  

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. 

Questions? Check out our internship and graduate FAQs or get in touch with the team at: careers@optiver.com.au.  

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

We are seeking a pragmatic and commercially oriented Production Support Engineer with a strong Site Reliability Engineering (SRE) orientation to join our Risk Technology team. This role is primarily focused on ensuring stability, availability, and performance of critical trading, risk, and PnL systems in a fast-paced production environment.

The ideal candidate will have a solid background in supporting production systems, combined with an SRE mindset focused on automation, reliability, and continuous improvement. You will be responsible for monitoring live systems, managing incidents, troubleshooting complex issues, and driving initiatives that enhance system resilience and reduce operational overhead.

In addition to hands-on production support, you will contribute to improving system reliability through automation, proactive monitoring, and collaboration with development and infrastructure teams. You will play a key role in bridging support and engineering by identifying recurring issues, performing root cause analysis, and implementing long-term fixes aligned with SRE principles.

You will work closely with internal and external teams to ensure effective management, scalability, and reliability of the QRT Risk Technology stack while maintaining a strong focus on business continuity and operational excellence.

What will you do

• Provide end-to-end production support alongside the global team for post trade flows, ensuring high availability and performance
• Monitor production systems, investigate alerts, and respond to incidents in a timely manner
• Automate repetitive operational tasks to reduce manual intervention
• Perform root cause analysis (RCA) and implement preventive measures
• Troubleshoot issues across applications, infrastructure, and data layers
• Collaborate with development teams to improve system stability and release quality
• Ensure data quality and integrity across risk and PnL workflows
• Participate in on-call rotations and handle production incidents
• Participate in operational processes improvements, incidents management, and resolutions

Requirements

• Strong understanding of production support and incident management processes
• Experience with operating and configuration of monitoring, alerting, and logging tools
• Good understanding of system architecture and cloud technologies (AWS preferred)
• Proficiency in Python for troubleshooting and automation
• Strong analytical, problem-solving skills and ability to function independently.
• Ability to work in a fast-paced, business-critical environment
• Effective communication skills across technical and business stakeholders
• Commercially oriented mindset with focus on business impact
• Prior experience in finance is preferred but not required

Your present skillset

• 4+ years of experience in production support, or software engineering
• Strong Python skills and (good to have ) understanding of object-oriented programming
• Experience using pandas DataFrame for data analysis
• Experience with cloud platforms (AWS preferred)
• Experience with monitoring tools such as Prometheus, Grafana, or similar
• Strong problem-solving skills with a proactive approach
• Clear communication skills and ability to articulate complex ideas
• Good time management and prioritization skills
• Familiarity with risk and PnL concepts (good-to-have)
• Exposure to time-series data and tools like InfluxDB (good-to-have)
• Familiarity with REST APIs, Containers, Kubernetes, and SQL Server (good-to-have)
• UI development experience with Plotly Dash and/or Streamlit (good-to-have)

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Eclipse Trading is a leading proprietary trading firm. Founded in 2007, we have over 110 employees across 4 office locations – Hong Kong (our HQ), Sydney, Shanghai and Chicago. Our trading expertise and strategies are deployed across several markets globally, focusing on various products including equity derivatives, delta one, ETFs, commodity derivatives, and cryptocurrency. Technology is inextricably linked to our trading strategies, creating an environment powered by intellectual curiosity, problem solving, and innovation.

We are seeking an experienced Team Lead to lead the DevOps team. Along with the deployment and runtime systems, the DevOps team is also responsible for the CI/CD pipelines and the core infrastructure of the Trading platform. As a Team Lead, you’ll play a pivotal role in shaping how we manage our production environment globally — combining hands-on technical leadership with strategic oversight to drive operational excellence.

The position is primarily located in Hong Kong; however, we welcome applications from overseas candidates as well. For those qualified candidates who are considering relocating to Hong Kong, we offer relocation assistance and sponsorship for a work visa.

Responsibilities and Duties

• Lead, mentor, and train DevOps engineers, fostering a culture of accountability, high performance, and continuous learning.
• Drive the DevOps strategy, technical roadmap and execution across our global trading production environment, ensuring system uptime, scalability, and performance.
• Design, build, and maintain CI/CD pipelines to ensure rapid, secure, and reliable software delivery.
• Lead improvements in automation, deployment workflows, and monitoring systems, reducing manual effort and increasing system robustness and agility.
• Ensure production readiness for new exchanges, trading strategies, and infrastructure changes, coordinating across development, trading, and infrastructure teams.
• Represent the team in leadership forums, advocating for production priorities, and aligning team objectives with broader business goals.

What you offer

• University Degree in Computer Science, Engineering, or a related technical discipline.
• 10+ years work experience in a DevOps, Systems Engineering or similar role and proven success leading technical operations, SRE, or production engineering teams in real-time or low-latency environments.
• Modern deployment system and orchestration experience and associated CI/CD tooling.
• Strong development skills in Python, Golang and shell scripting.
• Demonstrated experience defining and managing SLAs/SLOs, with a data-driven approach to improving reliability and performance.
• Comfortable leading incident response in high-pressure scenarios and building systems that prevent recurrence.
• Exposure to high-frequency trading or low-latency financial systems is a strong plus.
• Skilled communicator who can align business and technical stakeholders, provide clarity under pressure, and drive cross-functional collaboration.
• Passionate about coaching, developing, and retaining top engineering talent.
• Fluency in written and spoken English.

What we offer

• Dynamic and collaborative work environment
• Opportunity to contribute directly to the bottom line
• Training, mentorship and personal development opportunities
• A flat management structure, where everyone's voice is valued
• Work life balance within a multi-cultural environment
• Fully stocked kitchen for breakfast and lunch
• Attractive benefits package with discretionary bonus

Eclipse Trading is an equal opportunity employer and we believe that diversity and inclusion are essential pillars of our success as a company. We are dedicated to embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential.

All information provided will be treated in strict confidence and used solely for recruitment purposes.

Due to the high number of responses that we receive, we are only able to respond to successful applicants.

Note: The use of AI tools during interviews or assessments is strictly prohibited unless explicitly authorized. We employ multiple methods to verify the authenticity of candidate responses. If it is determined that AI assistance was used at any stage of the hiring process without prior approval, we reserve the right to disqualify your application or rescind any job offer.

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

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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!

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!

Anduril's Detection and Response team is looking for a Security Operations Analyst to be the watchtower for Anduril's critical defence technologies. As a SecOps analyst on the detection and response team, you'll be responsible for monitoring and responding to adversarial activity while helping incorporate key detection feedback loops with the detection engineering team. When not responding to threats, you'll be asking questions of our data sets, conducting threat hunting and data normalisation operations across the organization to understand user behavior and identify anomalies.

WHAT YOU'LL DO

• Triage and respond to alerts / incidents covering multiple disciplines including, but not limited to, phishing, endpoints, cloud infrastructure and services, and SaaS applications
• Build and optimise tailored detection signatures, response playbooks, and response automation using detection-as-code principles
• As the frontline of DNR, you will lead the feedback loop for detections, ensuring alerts are fine tuned to reduce false positives
• Participate in threat modeling scenarios with cross-functional partners to understand weaknesses across Cloud, Mobile, Endpoints, and other environments incorporating findings into security controls and/or detection signatures
• Organise and conduct threat hunting and data baselines to identify anomalous patterns in data
• Participate in an on-call rotation responding to security events and conducting incident response investigations while effectively communicating findings to key stakeholders
• Proactively collaborate with a wide range of stakeholders

REQUIRED QUALIFICATIONS

• Experience in security monitoring, log analysis, and detection engineering within large data sets across endpoint, network, and a wide variety of application log sources
• Experience in Python development, specifically contributing to a shared codebase used for automating SOC operations
• Must have experience with one or more SIEM languages (SPL, KQL, SQL)
• Broad range of practical security knowledge across the spectrum of endpoint, network, identity, application, and cloud infrastructure
• Knowledge of attacker tactics, techniques, and procedures (TTPs) across Windows, Linux, MacOS, AWS/Azure, etc.
• Strong communication skills and experience collaborating with internal and external stakeholders
• Eligible to obtain and maintain an Australian NV2 clearance

PREFERRED QUALIFICATIONS

• Experience conducting incident response in the Cloud (AWS, Azure, GCP)
• Digital Forensics and/or reverse engineering experience is a plus!

Although we list out what we generally look for, we are very likely missing other attributes and skills that you have that could make you a great fit, but are not currently listed. Research has shown this especially applies to women and other marginalised groups, who tend to apply if they check 100% of every box, versus men who apply if they hit roughly 60%. The point we’re getting at, it doesn’t hurt to take a chance and apply!

At Anduril Australia we are developing unmanned systems for subsurface and other domains that will 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 Site Reliability Engineers with deep experience in modern software development, delivery and sustainment toolchains. The Senior Site Reliability Engineer strives to leverage their experience to rapidly architect, design, delivery, support and evolve toolchains required to delivery next-generation autonomous systems.

WHAT YOU'LL DO

• Lead the design, development, implementation and support of next-generation software delivery toolchains that enable the continuous and secure delivery of capabilities orders of magnitude faster than the competition, including in times of national crisis and across multiple national security classification domains
• Manage modern ICT systems at the infrastructure layer, including providers and/or technologies such as AWS, Azure, and VMWare ESXi
• Manage modern ICT systems at the operating system layer, including operating systems such as NixOS, Ubuntu, Red Hat, and Microsoft Windows
• Manage modern ICT systems at the orchestration layer, including technologies such as OpenShift, Kubernetes, Docker and Terraform
• Manage modern ICT systems at the application layer, including Github Enterprise, CircleCI and a variety of proprietary applications
• Contribute to our Nix managed build and deployment systems
• Contribute to the management of ICT hardware systems in a limited capacity
• Advocate for and implement best-practice security measures within Anduril’s software toolchain
• Work as a member of a multi-disciplinary software team, including as a mentor for Software Engineers from differing backgrounds

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Computer Science, Software Engineering, a relevant field, or equivalent experience
• Experience in a senior role for the delivery of a software and/or hardware system with a mature software delivery, security and operations capability
• Experience with the design, implementation and operation of horizontally scaled cloud technologies
• Experience troubleshooting and analyzing remotely deployed software systems
• Capacity to work holistically on software enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation and sustainment
• Capacity to act as the technical owner for a software service, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Ability to obtain and maintain an Australian Government Security Clearance

PREFERRED QUALIFICATIONS

• Experience writing cloud-native services using C++, Rust, Python and/or Go
• Experience with the NixOS operating system and the Nix programming language
• Systems and/or application programming skills including algorithms, data structures, concurrency and optimization
• Experience managing infrastructure with Terraform
• A strong understanding of networking, particularly in cloud and hybrid environments
• A strong knowledge of and experience with deploying applications with Kubernetes and maintaining Kubernetes clusters
• Desire to learn and grow in to other roles that require experience as a Senior Software Engineer, such as Principal Software Engineer and/or Engineering Manager
• Desire to grow in to a Tech-Lead-Manager role, with responsibility for line management of engineers, in addition to delivery

At Anduril Australia we are developing unmanned systems for subsurface and other domains that will 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 Site Reliability Engineers with deep experience in modern software development, delivery and sustainment toolchains. The Senior Site Reliability Engineer strives to leverage their experience to rapidly architect, design, delivery, support and evolve toolchains required to delivery next-generation autonomous systems.

WHAT YOU'LL DO

• Lead the design, development, implementation and support of next-generation software delivery toolchains that enable the continuous and secure delivery of capabilities orders of magnitude faster than the competition, including in times of national crisis and across multiple national security classification domains
• Manage modern ICT systems at the infrastructure layer, including providers and/or technologies such as AWS, Azure, and VMWare ESXi
• Manage modern ICT systems at the operating system layer, including operating systems such as NixOS, Ubuntu, Red Hat, and Microsoft Windows
• Manage modern ICT systems at the orchestration layer, including technologies such as OpenShift, Kubernetes, Docker and Terraform
• Manage modern ICT systems at the application layer, including Github Enterprise, CircleCI and a variety of proprietary applications
• Contribute to our Nix managed build and deployment systems
• Contribute to the management of ICT hardware systems in a limited capacity
• Advocate for and implement best-practice security measures within Anduril’s software toolchain
• Work as a member of a multi-disciplinary software team, including as a mentor for Software Engineers from differing backgrounds

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Computer Science, Software Engineering, a relevant field, or equivalent experience
• Experience in a senior role for the delivery of a software and/or hardware system with a mature software delivery, security and operations capability
• Experience with the design, implementation and operation of horizontally scaled cloud technologies
• Experience troubleshooting and analyzing remotely deployed software systems
• Capacity to work holistically on software enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation and sustainment
• Capacity to act as the technical owner for a software service, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Ability to obtain and maintain an Australian Government Security Clearance

PREFERRED QUALIFICATIONS

• Experience writing cloud-native services using C++, Rust, Python and/or Go
• Experience with the NixOS operating system and the Nix programming language
• Systems and/or application programming skills including algorithms, data structures, concurrency and optimization
• Experience managing infrastructure with Terraform
• A strong understanding of networking, particularly in cloud and hybrid environments
• A strong knowledge of and experience with deploying applications with Kubernetes and maintaining Kubernetes clusters
• Desire to learn and grow in to other roles that require experience as a Senior Software Engineer, such as Principal Software Engineer and/or Engineering Manager
• Desire to grow in to a Tech-Lead-Manager role, with responsibility for line management of engineers, in addition to delivery

At Anduril Australia we are developing unmanned systems for subsurface and other domains that will 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 Senior Site Reliability Engineers with deep experience in modern software development, delivery and sustainment toolchains. The Senior Site Reliability Engineer strives to leverage their experience to rapidly architect, design, delivery, support and evolve toolchains required to delivery next-generation autonomous systems.

WHAT YOU'LL DO

• Lead the design, development, implementation and support of next-generation software delivery toolchains that enable the continuous and secure delivery of capabilities orders of magnitude faster than the competition, including in times of national crisis and across multiple national security classification domains
• Manage modern ICT systems at the infrastructure layer, including providers and/or technologies such as AWS, Azure, and VMWare ESXi
• Manage modern ICT systems at the operating system layer, including operating systems such as NixOS, Ubuntu, Red Hat, and Microsoft Windows
• Manage modern ICT systems at the orchestration layer, including technologies such as OpenShift, Kubernetes, Docker and Terraform
• Manage modern ICT systems at the application layer, including Github Enterprise, CircleCI and a variety of proprietary applications
• Contribute to our Nix managed build and deployment systems
• Contribute to the management of ICT hardware systems in a limited capacity
• Advocate for and implement best-practice security measures within Anduril’s software toolchain
• Work as a member of a multi-disciplinary software team, including as a mentor for Software Engineers from differing backgrounds

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Computer Science, Software Engineering, a relevant field, or equivalent experience
• Experience in a senior role for the delivery of a software and/or hardware system with a mature software delivery, security and operations capability
• Experience with the design, implementation and operation of horizontally scaled cloud technologies
• Experience troubleshooting and analyzing remotely deployed software systems
• Capacity to work holistically on software enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation and sustainment
• Capacity to act as the technical owner for a software service, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Ability to obtain and maintain an Australian Government Security Clearance

PREFERRED QUALIFICATIONS

• Experience writing cloud-native services using C++, Rust, Python and/or Go
• Experience with the NixOS operating system and the Nix programming language
• Systems and/or application programming skills including algorithms, data structures, concurrency and optimization
• Experience managing infrastructure with Terraform
• A strong understanding of networking, particularly in cloud and hybrid environments
• A strong knowledge of and experience with deploying applications with Kubernetes and maintaining Kubernetes clusters
• Desire to learn and grow in to other roles that require experience as a Senior Software Engineer, such as Principal Software Engineer and/or Engineering Manager
• Desire to grow in to a Tech-Lead-Manager role, with responsibility for line management of engineers, in addition to delivery

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!

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 TEAM
The Analytics team is responsible for modeling our internal data into reusable entities that generalize how Anduril operates. From those entities we build workflows, dashboards, and metrics that drive better and faster decision-making. You will work with stakeholders from across the company to understand how Anduril functions and model our data to create the digital twin of our operations.

ABOUT THE JOB
We’re looking for people who love ontologies - defining domains and writing the code that puts those models into action. Ideally you are passionate about the next generation of defense technology and love building efficient and understandable data models. You prioritize velocity and are interested in pushing the frontiers of what analytics can do within an organization - think data applications rather than just dashboards.

This role presents an exciting opportunity to be part of our team’s expansion into Australia. As the first team member in Australia, you'll be able to shape the role and team, directly influencing the work and direction of where it goes.

WHAT YOU'LL DO

• Lead the building of Anduril’s ontology for Australia across a number of domains such as Finance, Supply Chain, Manufacturing, People, and Sustainment
• Collaborate with stakeholders, collecting requirements, and writing the code that results in Secure, Timely, Accurate, Trusted, and Extensible Data Models
• Seek out problems that can be solved with data and proactively work with the organization to make it a reality
• Become a trusted resource for Anduril leadership in helping them run their organizations more effectively

REQUIRED QUALIFICATIONS

• 5+ years of experience in an analytics focused role - Analytics Engineer, Data Engineer or Analyst / Consultant with a strong engineering background
• You are motivated by our mission. We are working to solve the biggest problems in defence
• Your weekend reading usually involves authors named Kimball or Inmon or modern data modeling blogs
• You’re energized by business impact & a self-starter: you’d rather build an imperfect data model quickly that is used by many people than a perfect data model that collects dust
• You thrive in cross-functional projects that have a heavy combination of technical requirements and user-focused workflows
• Expert with SQL and experience with Python or other programming languages
• Experience with data stack tools: dbt, Redshift, Looker/Tableau, Palantir Foundry
• You are empathetic: you are eager to see the world from your users’ perspective
• Ability to obtain and maintain an Australian Government Security Clearance (NV2).

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!

What's the Role All About?
The Software Engineer, AI is a customer-facing, billable role responsible for implementing, configuring, and delivering AI-driven and Conversational AI solutions across the NICE CXone ecosystem.  As a hands-on technical contributor, you will build integrations, configure conversational AI platforms, and ensure high-quality execution of project deliverables.  

 How Will You Make an Impact? 

• Technical Implementation and Configuration:  
• Configure, customize, and deploy Conversational AI solutions aligned to defined business and technical requirements.
• Build and maintain integrations using APIs, modern web technologies, and authentication standards.
• Implement, enhance, and optimize bot behaviors using conversational design and prompt engineering best practices.
• Develop proofs of concept (PoCs) and production-ready solution components.
• Support testing, validation, and go-live activities to ensure solutions are functioning as expected across customer environments. 

• Technical Problem Solving & Quality:  
• Diagnose and resolve complex technical issues across SaaS applications, integrations, environments, and data flows.
• Adapt, extend, or refactor existing integrations and solution components to meet evolving customer needs.
• Ensure implementations meet quality, performance, security, and usability standards.
• Produce documentation including specifications, test cases, and deployment materials. 
  
  
• Collaboration with Implementation Teams:  
• Partner closely with Implementation Engineers, Consultants and Project Managers who lead discovery, requirements definition, and solution design.
• Participate in customer workshops to clarify technical details, validate feasibility, and provide subject‑matter input.
• Maintain clear and consistent communication across cross‑functional delivery teams.

Have You Got What It Takes? 

• Bachelor’s degree in technical or business field (e.g., Computer Science, Information Systems, Electrical Engineering) or equivalent work experience.
• 5+ years of professional experience, with 1+ years in digital channels or AI/Bot software applications preferred.
• Technical Skills:
• Strong proficiency in JavaScript; Python familiarity is a plus.
• Solid understanding of:
• REST API integration patterns
• Modern authentication (OAuth2, OIDC, SAML)
• Browser and web security (CORS, X Frame Options)
• HTML/CSS and front-end fundamentals
• Ability to interpret API documentation, implement PoCs, and troubleshoot integrations.
• Strong understanding of conversational UX, AI driven interfaces, and prompt engineering techniques.
• Communication and Collaboration:
• Clear, confident written and verbal communication skills.
• Comfortable engaging with customers to explain technical concepts and implementation decisions.
• Effective collaborator during design discussions, code reviews, technical troubleshooting, and delivery execution.
• Authored detailed design documents, functional requirements documents, test use cases, and deployment guides to support implementation and delivery.

You Will Have an Advantage If You Also Have: 

• Experience designing and deploying enterprise-grade conversational flows and AI orchestration. 
• Experience with NiCE CXone products or other cloud-based contact center platforms. 
• Experience working with enterprise conversational AI platforms (e.g., NICE CXone, Kore.ai, Amelia, Dialogflow, or similar).
• Experience with monitoring, logging, and debugging tools for distributed systems.
• Knowledge of databases (SQL/NoSQL) and data integration patterns.
• Experience working in Agile/Scrum teams and participating in sprint planning and retrospectives.

What’s in it for you?
Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! 

Enjoy NiCE-FLEX!  
At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. 

Requisition ID: 10592
Reporting To: Manager, Professional Services
Role Type: Individual Contributor

Senior DevOps Engineer

About this role

The DevOps Engineer will work within the Platform Engineering team and help provide the infrastructure, tooling, and automation that supports Karbon’s engineering teams. This role focuses on improving deployment workflows, platform reliability, and operational visibility across our cloud platform.

Our Engineering Standards

Balance Speed and Quality

Engineers are expected to balance delivery speed with a strong commitment to quality, meeting agreed timelines while producing reliable, maintainable, and well-tested solutions. Sound judgment in making trade-offs between velocity and long-term sustainability is essential.

Collaborate Effectively

Engineering is collaborative by default. Team members are expected to contribute constructively in design discussions, reviews, and planning, communicate clearly about progress and risks, and support shared team outcomes in both hybrid and distributed environments.

Build and Maintain Systems

Engineers are responsible for building new capabilities while maintaining and improving existing systems. This includes designing scalable solutions, reducing technical debt, supporting operational stability, and contributing to continuous improvement.

Operate with Autonomy

A high degree of autonomy is expected. Given clear objectives, engineers should independently translate problems into actionable technical approaches, proactively identify improvements, and continuously expand relevant technical expertise.

Ownership and Accountability

Ownership is fundamental. Engineers are accountable for the quality, performance, and customer impact of their work from design through post-release support, and are expected to follow through on commitments.

AI-Enabled Engineering

AI is reshaping how software is built, and we are committed to leveraging it as a force multiplier for creativity, impact, and capability. Engineers are expected to confidently apply strong technical fundamentals while embracing AI tools and approaches to enhance productivity, problem-solving, and innovation. Curiosity, adaptability, and enthusiasm for integrating AI into meaningful product development are essential.

Contribute to Team Culture

Engineers contribute positively to a culture of professionalism, transparency, low bureaucracy, and mutual respect, strengthening team performance through authenticity, curiosity, and collaboration.

Some of your main responsibilities will include:

• Building, maintaining, and improving CI/CD pipelines and deployment workflows using GitHub Actions and Jenkins to enable reliable production releases
• Developing and maintaining Infrastructure as Code and automated provisioning using tools such as Terraform, ARM templates, CloudFormation.
• Supporting configuration management using Chef
• Supporting containerised workloads using Docker and Azure Container Apps
• Building and maintaining monitoring, alerting, and observability systems using Datadog and OpenTelemetry
• Monitoring the security, performance, and availability of infrastructure and applications
• Investigating and resolving infrastructure and platform-related issues
• Working with engineering teams to deploy infrastructure changes safely and efficiently
• Contributing to disaster recovery, environment management, and operational resilience
• Assisting with cloud cost optimisation
• Delivering operational support for the platform as part of a team on-call roster rotation
• Working closely with Engineering and Product teams to implement DevOps solutions and improve developer workflows

About You

Candidates with the following characteristics and experience are encouraged to apply:

• 5+ years of experience working in DevOps, Platform Engineering, or Site Reliability Engineering
• Experience supporting Azure cloud environments
• Good understanding of DevOps practices and infrastructure fundamentals (Linux, Windows, DNS, TCP/IP, networking)
• Experience building CI/CD pipelines using GitHub Actions, Jenkins, or similar tools
• Experience working with Infrastructure as Code tools such as Terraform
• Experience with Docker containerisation and cloud-native application deployments
• Experience using configuration management tools such as Chef
• Experience implementing monitoring and observability using tools such as Datadog and OpenTelemetry
• Experience automating workflows using PowerShell, Bash, Python, or similar scripting languages
• Experience working with Git-based repositories and modern development workflows
• Familiarity with high-availability systems, microservice architectures, and distributed systems
• Strong communication skills and ability to collaborate across engineering teams
• A proactive approach to problem-solving and improving platform reliability

AI is reshaping how software gets built, and at Karbon we’re fully committed. We don’t see AI as a replacement for engineers. We see it as a force multiplier that will elevate creativity, impact and capability to levels we’ve barely begun to imagine. We’re looking for developers who are confident in their fundamentals, driven to grow, and excited to harness AI to build something meaningful. If you’re energized by this future rather than cautious of it, you’ll feel right at home here.

Our Core Technology Stack

We build modern, scalable software on a thoughtfully designed stack:

• Frontend: TypeScript and JavaScript across Ember (today), React, and React Native.
• Backend: .NET / C# (Web API, .NET Core) powering distributed services.
• Data: SQL Server with performance and integrity at scale.
• Cloud: Microsoft Azure.
• Observability: Metrics, logging, alerting, and dashboards in Datadog — because we believe you can’t improve what you don’t measure.

Our architecture continues to evolve as we scale. We invest in event-driven systems, well-defined microservices, and containerized deployments (Azure Container Apps) to build resilient, decoupled, and high-performing software.

If you care about clean service boundaries, reliable systems, and shipping with confidence — you’ll feel right at home here.

Why Work at Karbon?

• Gain global experience across the USA, Australia, New Zealand, UK, Canada and the Philippines
• 4 weeks annual leave plus 5 extra "Karbon Days" off a year
• Flexible working environment
• Work with (and learn from) an experienced, high-performing team
• Be part of a fast-growing company that firmly believes in promoting high performers from within
• A collaborative, team-oriented culture that embraces diversity, invests in development, and provides consistent feedback
• Generous parental leave

At IMC, technology is not a department; it’s at the heart of everything we do. Developed in house, our innovative software makes millions of trading decisions daily, and we win by making better and faster decisions than our competition.

IMC’s Sydney based Engineering teams work on a wide variety of applications, tools and functionalities, including trading algorithm implementations, option pricing, calculating volatility, simulation frameworks, market risk applications, trade reconciliation applications and data analysis & visualization tools for traders. We frequently need to develop not just the business applications themselves, but also the tools that keep our development process at the cutting edge. We are currently looking to expand our software engineering teams across our Strategy, Research tooling and Backbone teams.

The Strategy Developers work alongside our Sydney-based options research and trading teams in designing and implementing systematic trading strategies. You will be responsible for engineering efforts in a Python-based ecosystem that empowers our researchers and traders to develop strategies from initial prototypes to production. In this role, you will also be involved in the tactical development of front-office trading, analysis, and visualization tools.

The Backbone Developers create scalable business critical applications and tools to automate tasks supporting IMC’s Sydney Mid-Office and Risk Management departments. They gather requirements and feedback from a range of internal stakeholders in order to implement creative automation solutions via innovative coding practices.

The Research Tooling Developers collaborates closely with APAC Quant Research and other engineering teams to build and enhance tools that drive cutting-edge quantitative research. Our systems empower researchers to run large-scale computations on distributed clusters, enabling the exploration of new trading strategies, model training, and back testing.

Your Core Responsibilities: 

• Develop, test, deploy, and maintain high-performance Python applications.
• Work closely with traders, researchers, quants, and fellow engineers to build scalable and reliable software solutions.
• Take ownership of end-to-end development, from requirements gathering to production deployment.
• Implement automation and optimization projects to enhance trading and research workflows.
• Apply advanced automated testing practices and leverage daily deployments to achieve agile and incremental benefits.
• Balance trade-offs between latency, throughput, simplicity, scalability, and maintainability in a complex technology landscape.

Your Skills and Experience: 

• 5+ years of professional software engineering experience, with a strong focus on Python.
• Experience working with numerical computing and data processing frameworks such as Pandas, NumPy, SciPy, Celery, Dask, or Spark.
• Strong problem-solving skills and the ability to proactively tackle technical challenges.
• Experience with automated testing and CI/CD pipelines.
• Familiarity with Docker, Kubernetes, and Linux environments.
• Exposure to distributed computing and modern cloud-based data processing technologies.
• Strong communication skills and the ability to work with cross-functional teams including traders, researchers, and other engineers.
• Prior knowledge of financial markets or trading is not required, but curiosity and a willingness to learn are essential.

#LI-DNI

FEQ427R64

Location: Brisbane

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
• Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
• You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.
• Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
• Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
• Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.
  
  

What we look for:

• Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
• Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Hands-on expertise with complex proofs-of-concept and public cloud platform(s).
• Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.

FEQ127R17

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
• Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
• You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.
• Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
• Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
• Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.

What we look for:

• Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
• Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Hands-on expertise with complex proofs-of-concept and public cloud platform(s).
• Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

GTreasury, now a Ripple solution, was acquired by Ripple in 2025, marking a significant expansion into the multi-trillion-dollar corporate finance arena.

GTreasury has more than 40 years of experience supporting some of the world’s largest and most sophisticated companies. Integrating its treasury command center into Ripple’s technology stack gives corporates the ability to move, manage and optimize liquidity in real-time, across traditional and digital assets, under one expanded umbrella.

Join us to build the future of corporate treasury and the infrastructure that powers the Internet of Value.

We are seeking an innovative and forward-thinking Senior Software Developer passionate about building a world-class platform through a world-class team. Creating technical software excellence and spearheading application development in design, implementation, and maintenance to make great things happen.

The work:

The Senior Software Engineer will help lead and build the next generation of financial reconciliation platform that enables finance teams to become powerful drivers of their company growth.

What you will do:

• Build, scale and maintain enterprise financial reconciliation application that brings the world class user experience to finance professionals
• Work with wider technical teams on the design, deployment and continuous improvement of backend applications
• Be a technical domain leader, provide technical guidance and craftsmanship to your team and own the delivery of features.
• Participate in raising our standard of engineering excellence by implementing standard methodologies for architecture, coding, testing, and deployment

What you will bring:

• 5+ years of experience with .NET C# and Golang.
• Knowledge and experience with Spark and Python.
• 5+ years of hands-on software development and architecture experience on large scale distributed backend systems.
• Experience in building high load compute systems (preferably in finance domains), backed by a MSSQL server.
• Experience building cloud applications on AWS or Azure, technologies such as Docker, Kubernetes and Linux platform environments.
• Experience with Agile development of distributed services, with a focus on robust software design, scalability, availability and security
• Eagerness to work openly and collaboratively with a diverse team
• Ability to apply engineering standard processes
• A positive demeanor and a passion for technology and the financial industries

BS or equivalent experience in Computer Science or similar

GTreasury, now a Ripple solution, was acquired by Ripple in 2025, marking a significant expansion into the multi-trillion-dollar corporate finance arena.

GTreasury has more than 40 years of experience supporting some of the world’s largest and most sophisticated companies. Integrating its treasury command center into Ripple’s technology stack gives corporates the ability to move, manage and optimize liquidity in real-time, across traditional and digital assets, under one expanded umbrella.

Join us to build the future of corporate treasury and the infrastructure that powers the Internet of Value.

We are seeking an innovative and forward-thinking Staff Software Engineer passionate about building a world-class platform through a world-class team. Creating technical software excellence and spearheading application development in design, implementation, and maintenance to make great things happen.

What you'll do:

• Build, scale and maintain infrastructure of the enterprise reconciliation application that brings the world class user experience to finance professionals
• Work with wider technical teams on the design, deployment and continuous improvement of infrastructure of our products
• Be a technical domain leader, provide technical guidance to your team and own the delivery of features.
• Participate in raising our standard of engineering excellence by implementing standard methodologies for architecture, coding, testing, and deployment

What you'll bring:

• 8+ years of hands-on experience designing and operating large-scale distributed infrastructure, with 4+ years serving as a technical lead and mentoring engineers.
• Deep expertise in Linux and Windows server environments, with strong experience building and maintaining cloud infrastructure on AWS and Azure.
• Proficiency with infrastructure-as-code tools such as Terraform and Ansible, and scripting languages including Bash, Python, and PowerShell.
• Experience with data infrastructure and processing technologies such as Spark and MSSQL. Experience building the systems that power high-volume transactional workloads, ideally in finance space. Cybersecurity experience is a plus.
• Hands-on experience with containerization and orchestration using Docker and Kubernetes.
• A track record of building infrastructure that scales, stays available, and remains secure, using Agile practices to ship reliably.
• You work openly and collaboratively with diverse teams, and you're energized by driving engineering excellence through better standards, processes, and shared knowledge.
• BS in Computer Science or equivalent practical experience.

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: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options
• Lead, manage and grow quantitative investment portfolio
• Contribute to broader firm research and strategic initiatives

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe
• Strong programming skills in mainstream quant programming languages, such as Python and C++

The Book Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Opportunities to contribute to other research and strategy initiatives
• Access to WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Participation in internal research conferences and forums
• Autonomy to build your own strategies along with several opportunities for collaboration and mentorship
• Access to AI and Machine Learning opportunities applied to financial markets

The Role: 

• We are seeking candidates with quantitative research experience and intimate knowledge of systematic strategies across a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options

Job Responsibilities (include, but not limited to the following)

• Support Portfolio Managers with alpha research, modelling, portfolio construction, optimization, and implementation of quantitative trading strategies
• Build and maintain tools and systems used throughout the quantitative research and portfolio management processes

• PhD or Masters degree from a top university, with a major in computer science, mathematics, statistics, physics, engineering, or quantitative finance discipline
• 2-8 years’ experience in quantitative research and/or quantitative development for systematic strategies
• Demonstrated ability to program in Python and/or C++, with a strong background in data structures and algorithms
• Working knowledge of Linux
• Strong problem-solving abilities
• Strong moral integrity and work ethic

• Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, full paid parental leave, generous PTO (paid time off) with unlimited sick days
• Perks: Employee discounts for gym memberships, wellness activities etc., healthy snacks, casual dress code
• Training: learning and development courses, speakers, team-building off-site
• Employee resource groups

#LI-SB1

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options
• Independently lead, manage and grow quantitative investment portfolio (portfolio will have a separately identifiable track record)
• Autonomy to build your own research pipeline and grow your team

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe
• Strong programming skills in mainstream quant programming languages, such as Python and C++
   

The Independent Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Meaningful allocation with growth potential based on performance and scalability
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Opportunity for select engagement with the CIO Office in support of your research and strategy development

#LI-SB1

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Stripe’s Professional Services team works with our most strategic users. You will work on the highest visibility projects to provide technical expertise to our customers to help accelerate their knowledge, solution design and integrations with Stripe. This role is responsible for leading strategic conversations and developing plans that will transform the payments and financial infrastructure for leading enterprises.

What you’ll do

Responsibilities

• Plan integration engineering end-to-end, from high-level architecture down to code implementation. This includes conducting discovery sessions with users to understand their goals, parsing out specific use cases, and guiding users to implement high complexity integrations. 
• Think on your feet and communicate technical concepts, explaining how Stripe works from both a product feature and API architecture perspective. Manage user expectations on timelines and product changes.
• Be the primary, ongoing technical point of contact for our largest users' and partners' technical teams. You will be responsible for resolving user integration issues and owning escalations for operational issues and priority requests.
• Collaborate with Sales, Solution Architecture and Implementation teams to drive client engagement, customer wins, and revenue on behalf of the Professional Services team
• Collaborate closely with Product and Engineering to proactively identify potential enhancements and new features based on feedback you’ll gather from the field.
• Provide deep technical guidance and debugging, inspecting and understanding the Stripe codebase and thoroughly testing functionality to best advise users, while also building and demonstrating proof-of-concept integrations, creating user-specific test plans, and answering ad-hoc technical questions.
• Lead "Hands On Keyboard" implementations for user engagements, providing material feedback on coding practices, CI/CD, and software architecture, as well as supervising the work of our delivery partners.
• Review and optimize existing user integrations and provide recommendations to improve performance, reliability, and efficiency.
• Build tools and analytics; create dashboards, run queries, and generate custom data reports to support user business reviews and operational needs.
• Develop and share knowledge, building reusable processes to enable the larger Professional Services team.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 4 years + experience in a Software Engineering / Integration Engineering role.
• Ability to write code (in programming languages like Python, Go, Java, C/C++ etc.) and quickly debug user code snippets.
• Comfortable with various code-level debugging (Stripe code and user code) and using code as a tool for problem-solving.
• Strong generalist technical experience, including proficiency in SQL and an understanding of data structures and algorithms.
• Understanding of the payments domain and API security topics.
• Be comfortable talking about technical concepts, and explaining how Stripe works, both from a product features and API architecture perspective.
• A user first approach & empathy with our users, capable of mapping business requirements into reliable technical solutions.
• Confident and comfortable with customers, with the ability to lead strategic technical conversations.

Preferred requirements

• Enjoy the puzzle of solving open-ended problems, both individually and as a member of our team.
  Willingness to learn and teach others, including mentoring newer team members.
• Collaborative, communicative, consultative; able to apply specific methodologies to ensure repeatability of engagements.
• Intellectually curious, with great problem solving skills.
• Technical writing skills to document complex integration guidance and processes.

Position Details

• Job Type: Full Time
• Location: 383 Kent Street, Sydney, NSW, 2000, Australia / 530 Collins Street, Melbourne, VIC 3000, Australia
• Open Date: 7 April 2026

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.

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.

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

Optiver is looking for experienced C++ engineers who are interested in working on our industry-leading, globally distributed, low-latency equities market making platform. This role is tightly integrated with trading and quant research teams, offering new hires a fast path to understanding the business and having an immediate impact. You will be responsible for working with equities traders to understand exactly how we want to trade on equities exchanges, partnering to refine trading algorithms to meet strict software performance demands, then owning your software through implementation and deployment into worldwide markets. From Sydney, you’ll work with live trading systems trading Asian markets with unique market microstructures. You’ll also contribute to a global equities trading platform expanding in Europe and the USA - without needing to work US/Europe market hours.

Our success trading equities worldwide depends on a scalable, performant, and well-engineered software stack, so our engineers are skilled in architecting systems that operate across globally distributed environments, while still delivering real-time performance.

You will:

• Work day-to-day with traders and quant researchers to understand how we want to price, quote and execute in equities markets and apply your skills to designing software systems and high-performance trading logic to bring those ideas to life in live equities markets.

• Collaborate with other software engineers and contribute to the architecture of our globally distributed equities trading platform with hard real-time performance constraints.

• Experience the excitement of our fast-paced development cycle – owning a tight feedback loop, testing and shipping your code to production sometimes on the same day.

• Flex your low-level engineering fundamentals by implementing performance-sensitive low-latency trading logic and strategies.

Who You Are

We’re looking for multiple engineers across a range of seniority and will tailor scope and ownership accordingly. We’re looking for candidates:

• With at least 2 years' experience as a software engineer working with distributed systems, low-latency systems, backend systems or client/server architectures.

• Who are skilled at object-oriented programming in C++, or Java/C# with a strong desire to work in C++.

• Who have an excellent understanding of computer science fundamentals like operating systems, data structures and algorithms.

• Who are familiar with a language like Python for developing tooling. 

• Who embrace AI tools for parts of their role, without sacrificing code quality or runtime performance.

• Who are excited by technically challenging problems.

If any of these describe you, we’re even more excited to talk to you:

• 5 or more years of experience as a software engineer on distributed or low-latency systems.

• Highly skilled in C++ development.

• Proficient with database technologies like Postgres for parameterisation, analytics, and research workflows.

• Experienced working in an electronic trading firm, or knowledge of equities trading fundamentals.

• Experienced working in a backtest-driven software development cycle.

What You’ll Get

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle some of the most complex problems in the financial markets.

In return for your expertise, you will have access to a range of Optiver perks, including:

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool, fostering a truly collaborative environment.

• The chance to work alongside diverse and intelligent peers in a rewarding environment.

• Training, mentorship and personal development opportunities.

• Daily breakfast, lunch and an in-house barista.

• Gym membership plus weekly in-house chair massages.

• Regular social events, including a company trip every two years.

• Guided relocation, a competitive relocation package and visa sponsorship where necessary.

Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.

Questions? Get in touch with the recruitment team 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. 

What you’ll do 

We are seeking a hands-on Information Security Operations Lead who combines deep security knowledge with strong coaching, mentoring, and leadership capabilities. You will guide the team through operational challenges, foster their development, and ensure the ongoing integrity of Optiver’s security operations. 

Reporting directly to the Global Head of Information Security this role will work in conjunction with the other regional security leads with your focus extending beyond individual technical execution—you will help shape the team’s roadmap, coach engineers through complex challenges, and drive alignment with global security objectives.  

  Main responsibilities include: 

• Build and lead a high-performance security engineers and analysts, including managing performance, career development and delivery. 

• Oversee day-to-day security operations, ensuring efficient triage, investigation, escalation, and resolution of security events 

• Continuously refine operational processes and partner with global security teams to drive alignment in processes, standards, and tooling. 

• Lead the team during high-severity incidents, coordinating efforts across engineering, business, and global stakeholders. 

• Work with engineers to identify automation opportunities, reduce toil, and improve detection and response capabilities. 

• Act as the primary point of contact for operational security topics within APAC and build strong partnerships with all stakeholders. 

• Contribute to the long-term strategy and roadmap for global security operations. 

Who you are 

Optiver needs our next APAC Information Security Operations Lead to have: 

• Leading or mentoring security engineers, SOC analysts, incident responders, or security operations teams. 

• Broad experience with EDR, SIEM, vulnerability management, identity security, and cloud security tooling. 

• Experience defining and maturing operational processes: alerting, triage, incident response, playbooks, tooling, and escalation workflows. 

• Understanding of SOC workflows, detection tuning/engineering, playbook development, and operational runbooks. 

• Experience leading or coordinating incident response efforts across cross-functional teams. 

• Demonstrated experience building high-performing, collaborative teams in fast-paced environments. 

• Championing a culture of continuous improvement, and operational excellence. 

• Cloud security (AWS + M365), identity management (Entra ID, SSO, conditional access), and data protection desirable. 

• Automation with Python or PowerShell desirable. 

What you’ll get 

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle some of the most complex problems in the financial markets. 

In return for your expertise, you will have access to a range of Optiver perks, including: 

• A performance-based bonus structure unmatched anywhere in the industry. 

• The chance to work alongside diverse and intelligent peers in a rewarding environment. 

• Training, mentorship and personal development opportunities. 

• Daily breakfast, lunch and an in-house barista. 

• Gym membership plus weekly in-house chair massages. 

• Regular social events, including a company trip every two years. 

Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process. 

Questions? Get in touch with the recruitment team 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’re building out our Data Reliability & Quality Engineering function in Sydney, the Site Reliability Engineering (SRE) arm of our global data platform.

This team ensures that data is reliable, accurate and available when it’s needed. You’ll sit at the intersection of data engineering, operations and market data, monitoring critical pipelines, improving system resilience and building automation to detect and prevent issues before they impact trading or research.

You’ll play a key role in shaping how we ingest and deliver trusted, high-quality data at scale, supporting a growing, data-driven global business. In this role, you will:

• Monitor and optimize the performance and stability of data pipelines to meet SLAs.

• Design and maintain data quality tests for accuracy, consistency and completeness.

• Investigate data incidents, perform root-cause analysis and implement preventive measures.

• Apply SRE principles to enhance reliability, alerting and recovery mechanisms.

• Develop automation and tooling to reduce manual intervention and improve scalability.

• Collaborate with data engineers, researchers and market data teams to align reliability goals with business priorities.

Who You Are

• 2+ years of experience in data engineering, site reliability engineering (SRE) or data operations.

• Proficient in SQL, ETL processes and at least one programming language (Python, Scala or C++).

• Strong focus on automation, system resilience and continuous improvement.

• Passionate about data quality, observability and performance optimization.

• Structured and methodical in problem-solving, with strong debugging skills.

• Excellent communication skills and a collaborative, proactive mindset.

Nice to have:

• Experience with Databricks, data observability platforms or distributed/cloud-based data systems.

• Familiarity with alerting and monitoring tools (e.g. Grafana, Prometheus, Airflow or similar).

• Exposure to financial data pipelines or low-latency trading environments.

What You’ll Get

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle some of the most complex problems in the financial markets.

In return for your expertise, you will have access to a range of Optiver perks, including:

• A performance-based bonus structure unmatched anywhere in the industry.

• The chance to work alongside diverse and intelligent peers in a rewarding environment.

• Training, mentorship and personal development opportunities.

• Daily breakfast, lunch and an in-house barista.

• Gym membership plus weekly in-house chair massages.

• Regular social events, including a company trip every two years.

If you’re passionate about supporting reliable, high-performance data systems and want your work to directly impact trading outcomes, we’d love to hear from you.

Apply now and help us build the next evolution of Optiver’s global data platform.

Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.

Questions? Get in touch with the recruitment team at careers@optiver.com.au