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.

Here’s a summary of the role

You’re an experienced client-facing professional who thrives at the intersection of technology, governance, risk, and compliance (GRC). In this role, you’ll lead end‑to‑end customer engagements, guiding organisations through successful solution adoption while reducing risk and driving measurable outcomes.

You’ll act as a trusted advisor—owning delivery, mentoring others, and continuously deepening your expertise. If you enjoy solving complex problems, exceeding client expectations, and being seen as a go‑to expert, this role is built for you.

Here’s a breakdown of what you’ll do (the important stuff):

• Lead and deliver end‑to‑end Professional Services engagements across the full customer journey and enablement lifecycle.
• Advise customers on best practices for GRC solution rollout, adoption, and execution using your domain, industry, and product expertise.
• Coordinate work across teams, ensuring high‑quality delivery while meeting deadlines and client expectations.
• Perform quality assurance on work delivered by Professional Services, ensuring consistency, accuracy, and customer value.
• Act as a mentor and coach to junior specialists and new hires, supporting capability and confidence building.
• Partner with Commercial Teams, PS leadership, and other stakeholders to reduce delivery risk and drive long‑term adoption.

These are the essentials you’ll need to get an interview:

• 3 – 10 years’ experience in a client‑facing, advisory, or consulting role (internal or external). This is an IC Role.
• A strong Customer First mindset, operating with urgency, accountability, and a focus on outcomes.
• Good Coding skills, experience with SQL, AI implementation, building agents. 
• Proven ability to manage multiple priorities in a fast‑paced, technology‑driven environment.
• Excellent communication skills, including delivering workshops, presentations, and solution discussions with senior stakeholders.
• A passion for GRC, with the ability to translate complex requirements into practical solutions.
• High attention to detail, strong process discipline, and a consistent record of quality delivery.
• Relevant professional GRC accreditation (completed, in progress, or planned).

It would be great if you had these too (nice to have):

• Experience managing customer expectations, timelines, and delivery milestones against a project plan.
• Understanding of forecasting, budget tracking, and working with Adoption or Engagement Managers to deliver projects fully in‑scope and on budget.
• Ability to interpret solution design plans and translate them into executable delivery activities.
• Confidence providing structured, constructive feedback to peers and team members.
• Interest in developing deep subject‑matter expertise and becoming a recognised SME in specific GRC or product domains.

Here’s a bit about us

Why join Diligent?

Join a global organisation with a clear mission: to power better governance and decision‑making. Our people are at the heart of what we do, and we believe that diverse perspectives lead to stronger outcomes—for our customers and our communities.

Life at Diligent

We’re fast, fearless, and thoughtful in how we work. We value accuracy, ethics, and collaboration, and we trust our people to take ownership and do meaningful work. You’ll be supported with best‑in‑class benefits designed to care for your physical, financial, and emotional wellbeing—so you can bring your full self to work every day.

Equal Opportunity Employer

Diligent is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, colour, religion, sex, sexual orientation, gender identity, age, disability, veteran status, or any other protected characteristic.

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

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.

We are looking for an experienced Lead Software Engineer with a strong background in data streaming products, the Java ecosystem and team leadership. You will lead a talented team building a complex product suite using a modern stack: Java, Spring Boot, Apache Kafka, Debezium, and React. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging data problems.

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

The ideal candidate for this role will have

• 6+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
• 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results
• Extensive product experience in the data streaming or data tooling space, especially with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement.
• Drive the architectural vision and long-term technical roadmap for the Data Migration product suite, ensuring it is scalable, reliable, and performant.
• Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs.
• Lead the design and implementation of complex, mission-critical components of our data streaming and migration platform.
• Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence.
• Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary.

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and team processes.
• Establish yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap.
• Begin mentoring team members and building strong collaborative relationships with your product counterparts.

Within six months, you will have:

• Successfully led the team to deliver a major feature or product release.
• Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams.
• Established a clear rhythm of execution and a high-performing culture within your team.

Within 12 months, you will have:

• Become recognized as the go-to technical expert for the data migration domain at MongoDB.
• Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business.
• Played a crucial role in recruiting, hiring, and growing the engineering team.

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.

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.

SUMMARY

The Manager, Analytics is responsible for leading a team of BI developers and analysts to deliver reliable, high-performance business intelligence solutions in line with company strategy. This role emphasizes data modeling, ETL development, dashboard/report creation, and ensuring robust data pipelines. The Manager will collaborate closely with Product Management, IT, and business stakeholders to translate analytical needs into actionable insights, supporting data-driven decision-making company-wide.

Avetta’s SaaS platform connects the world’s leading organizations with qualified suppliers, contractors, and vendors. We bring unmatched visibility to companies through cloud-based technology and human insights to improve supply chair risk and compliance. As a result, we foster sustainable growth for businesses and their supply chains globally. Our SaaS subscription-based software is used by 85k+ active customers in over 100 countries spanning a diverse set of industries.

If residing within commutable distance to our Newcastle office or Sydney office, a hybrid schedule would be offered (3 days in office, 2 days work from home). Remote work may be considered for those outside of commutable distance but who still reside in Australia.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Lead, mentor, and develop a team of BI and analytics professionals, including guidance on best practices for data modeling, ETL, and reporting.
• Collaborate with product managers, business units, and stakeholders to gather and clarify BI requirements and to translate them into scalable technical solutions.
• Architect, enhance, and support data warehouses and analytic data marts, primarily utilizing Jasper Server, Power BI and Snowflake.
• Oversee the design, implementation, and optimization of ETL processes to ensure the accuracy and timeliness of data integrations from multiple sources.
• Ensure projects are tracked in JIRA, with thorough code reviews, data quality checks, and UAT/testing prior to deployment.
• Facilitate Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives for the BI and Analytics team.
• Drive continuous improvement in BI processes, adoption of new tools/technologies, and foster a culture of data quality and governance.
• Troubleshoot and resolve data issues, working with engineering and business teams as needed to remove blockers.
• Ensure smooth collaboration with engineering, infrastructure, and business analysts to provide actionable BI solutions across teams.

IDEAL EXPERIENCE, EDUCATION & TRAINING:

• B.S. in Computer Science, Information Systems, Data Analytics, or related field, or equivalent experience.
• Deep expertise in SQL, including writing complex queries and performance tuning.
• Extensive hands-on experience with multiple reporting and BI tools such as Jasper Server, MicroStrategy, Sisense, SQL Server Reporting Services (SSRS), Power BI etc .
• Extensive hands-on experience with multiple database platforms such as MySQL, Postgresql, Snowflake.
• 3+ years in a BI/Analytics management or senior/lead BI developer role within a software development company.
• Experience architecting and supporting distributed BI systems/cloud analytics solutions.
• Strong understanding of data warehousing principles, data modeling (star/snowflake schemas), and data governance.
• Proven success managing multiple projects with Agile methodologies, especially involving large data sets and complex reporting requirements.
• Excellent interpersonal and communication skills, with a demonstrated ability to translate technical work into business value for non-technical audiences.

#LI-REMOTE

#LI-REMOTE

#LI-HYBRID

#LI-EM1

About The Team

Strategy & Operations is the engine that drives the DoorDash business forward, leading priority areas for the company, developing strategies, and driving business outcomes. DoorDash embraces and invests in this function because of our belief in an ownership mentality — our employees can develop the strategy and execute it. 

DoorDash is looking for a hands-on builder and leader to play a pivotal role in building differentiated experiences for all sides of the DoorDash Marketplace: customer, dasher and merchant, as part of the Strategy & Operations team.

About The Role

As a Senior Associate on DoorDash's Merchant Strategy & Operations team, you will sit within the GTM pod and drive impact by growing our merchant selection through non-sales acquisition channels. You will own the strategy and execution for scalable, product-led and marketing-driven pathways that bring new merchants onto DoorDash — including self-serve sign-up flows, inbound funnels, referral programs, partnerships, and lifecycle campaigns. You will solve problems by digging into details, executing quickly in the face of ambiguity, and building strong cross-functional collaboration.

In this role, you will identify where selection gaps exist, develop hypotheses for how to close them without relying on outbound sales, and build repeatable, data-driven motions that convert prospective merchants at scale. You'll get to the lowest level of detail by analyzing funnel performance, market and competitive data, and merchant behavior to continuously improve conversion and onboarding outcomes. You'll partner closely with Product, B2B Marketing, Analytics, Sales, and Operations teams to bring your ideas to life, and you'll test and refine your approaches in-market to develop best-in-world solutions.

You're excited about this opportunity because you will…

• Own the end-to-end strategy for acquiring new merchants through non-sales channels — from identifying selection gaps and sizing opportunities, to designing and optimizing scalable acquisition motions
• Use data-driven decision-making to run and scale experiments on self-serve sign-up flows, inbound conversion funnels, referral and partnership programs, and targeted lifecycle campaigns
• Identify and prioritize the highest-impact market opportunities by analyzing competitive landscape, consumer demand signals, and selection gaps
• Build and optimize the non-sales acquisition funnel — measuring and improving every step from awareness through signed agreement to first successful delivery
• Bring your ideas to life with a broad team including Product, Analytics, B2B Marketing, Operations, Sales, and Support
• Operate at the lowest level of detail to understand what drives a merchant's decision to join DoorDash organically and translate those insights into scalable programs
• Create step-change improvement in acquisition velocity and cost-efficiency by developing repeatable, product-led growth motions

We're excited about you because…

• You have 3+ years experience - in operations / project management / strategy consulting / product / technology / 
• You are able to lead cross-functionally - you will build and lead cross-functional processes across the business’ strategic areas to improve homepage customer experience 
• Proven analytical skills - you have a working knowledge of SQL, are proficient at quickly understanding a problem and developing action oriented hypotheses, can build financial models and dashboards to track key metrics, and conduct deep-dive analyses into specific issues to drive continuous improvement
• You are a self starter who is biased towards action and excels in a fast-paced environment and evolving business.

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

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.

About the Team

Our Advertising & Promotions team operates at the intersection of e-commerce and advertising, surfacing and monetising relevant content that benefits our core audiences. We provide digital solutions that help advertisers effectively reach DoorDash audiences.

This role is responsible for driving the operations and performance of some of our newest and fastest-growing Ads & Promos offerings across Australia and New Zealand. It sits within the Global Ads & Promos team, which owns operations and performance globally, with a specific focus on the ANZ markets.

About the Role

• Own the performance of our Enterprise Ads business in Australia and New Zealand – define the strategy, execute the strategy, problem-solve, and track against revenue goals.
• Partner with Sales and Account Management teams to build goals, understand areas and opportunities for improvement, own end-to-end development and execution of improved processes, and build a path to revenue attainment.
• Drive cross-functional alignment with other market stakeholders across shared app surfaces and competing goals.
• Work cross-functionally with Product, Engineering, Data Science and other tech teams to release new features & products, monitor product adoption, and unblock obstacles and technical challenges.
• Devise the appropriate go-to-market playbooks. Enable teams through market-relevant training, product releases, sales collateral, reporting, and benchmarking.

You’re excited about this opportunity because you will…

• Own: You are not afraid to single-handedly own a revenue target, and build plans to hit business goals.
• Strategise: Define how we win, build data-driven market plans across categories and geographies, set clear targets, and align roadmaps and resourcing to drive measurable selection growth.
• Build: You like going from 0-1, and 1-10. You want to get in early, identify trends, and leverage insights to scale.
• Operate: You want to roll up your sleeves, get to the lowest level of detail, and scale.
• Collaborate: You value cross-functional partnerships, and will thrive at working across Operations, Product, Sales, Engineering, and more to deliver results.
• Enable: You love equipping other teams with what they need to be successful. You are able to take feedback and put it into action.

We’re excited about you because…

• You have ~6-8 years of experience in a role in strategy & operations, business planning, consulting, program management, or product marketing (advertising experience a plus). 
• You're entrepreneurial. You have experience standing up new initiatives, pressure-testing them in the market, and translating early traction into scalable playbooks or systems. You have a bias for action and are able to build things from the ground up.
• You’re a data-driven problem solver who is fluent in Excel/Google Sheets (SQL experience is a plus).
• You have a proven track record of leading projects, working cross-functionally, and delivering on goals in a complex, fast-moving environment. As such you thrive while wearing multiple hats and working across people, projects and workstreams.
• You’re eager to dive into difficult problems without a playbook, diagnose root causes, and devise an action plan.

About the Team

New Verticals is a lean organisation at DoorDash, building the future of local commerce by bringing new ways to delight our customers to market - beyond restaurants. We are looking for top talent to play a pivotal role in growing our International New Verticals business! We are looking for someone who is excited about joining a fast-paced environment and driving our next wave of growth. 

About the Role

As an Senior Associate on the ANZ International New Verticals Strategy & Operations team, you will own growth for a portion of our New Verticals businesses in Australia. You will lead short term execution and long term strategy, grow our topline volume, ideate on our promotion strategy, and lead our go-to-market for new merchants, as well as so much more. You will work cross-functionally with marketing, account managers, analytics, and finance. This role is a mix of strategy & operations, cross-functional collaboration and individual execution. 

You will report into the Senior Manager, New Verticals - International Growth.

You’re excited about this opportunity because you will…

• Strategise. From first principles, you’ll develop and execute strategies as part of our strategy & operations approach to best serve customers and help merchant partners grow their businesses
• Analyse. You’ll analyze the customer and use that data to inform strategy. You’ll assess the operational and financial impacts of your decisions, and iterate based on data. 
• Experiment. You’ll validate potential new business strategies through rigorous testing you run.  You’ll ensure we can derive measurable and actionable insights from our key initiatives and share those learnings with the broader team. 
• Build. You’ll do whatever it takes to launch, get 1% better every day, and scale something completely new. This means everything from high-level strategy to nitty-gritty operational details. 

We’re excited about you because…

• You have 3+ years experience in strategy consulting, strategy and operations, retail, or fast-moving technology companies
• You are a self-starter – You have a bias for action and thrive in a fast-paced, evolving environment.
• You are a problem solver – You have a talent for synthesising complex problems, can translate high-level goals into actionable plans, and enjoy implementing a process.
• Proven analytical skills – You have a working knowledge of SQL, are proficient at quickly understanding a problem and developing action oriented hypotheses, and conduct deep-dive analyses into specific issues to bottom out root cause analysis
• You work to get 1% better every day – You're always looking for opportunities to better your work product and own the outcome, both the good and the bad

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

Strategy & Operations is the engine that drives the DoorDash business forward, leading priority areas for the company, developing strategies, and driving business outcomes. DoorDash embraces and invests in this function because of our belief in an ownership mentality — our employees can develop the strategy and execute it. 

DoorDash is looking for a hands-on builder and leader to play a pivotal role in building differentiated experiences for all sides of the DoorDash Marketplace: customer, dasher and merchant, as part of the Strategy & Operations team.

About The Role

The Strategy & Operations Senior Associate role is for self-motivated, ownership-minded individuals who thrive on solving complex problems using both data and empathy, collaborate across the organisation, and execute to bring strategies to life. 

You will report to the Strategy & Operations Manager, within one our Strategy & Operations teams, which include Merchant, Dasher and Consumer. This is a hybrid role with 3 days spent in-office (Sydney / Melbourne).

You're excited about this opportunity because you will…

• Curious Mind - You have a curious mind for seeking out problems and thrive on solving complex problems.  You love to learn how things work and how to make them work more efficiently.  In this role you will unpack ambiguous problems and discover new ways to improve the DoorDash business.
• Own & build - You will be responsible for a key component of the customer experience, whether that experience is for customers that order on DoorDash, Dashers who earn and deliver or Merchants who sell through DoorDash. You will own an integral part of the experience for that customer type.  One example in the customer team could include being  responsible for developing and executing the overall operational strategy for DoorDash homepage, where you will focus on increasing customer conversion through improving in-app merchandising and customer experience
• Experiment - Use a data-driven approach and deep market knowledge to identify improvement opportunities, run tests and make our business 1% better everyday
• Influence – Work cross-functionally with our Australia and International teams, such as Strategy & Operations, Marketing, Sales, Product, and Engineering
• Grow professionally - there is room for professional development and to own additional scope and special projects related to consumer and marketplace side of the business  

We're excited about you because…

• You have 4+ years experience - in operations / project management / strategy consulting / product / technology / 
• You are able to lead cross-functionally - you will build and lead cross-functional processes across the business’ strategic areas to improve homepage customer experience  
• Proven analytical skills - you have a working knowledge of SQL, are proficient at quickly understanding a problem and developing action oriented hypotheses, can build financial models and dashboards to track key metrics, and conduct deep-dive analyses into specific issues to drive continuous improvement 
• You are a self starter who is biased towards action and excels in a fast-paced environment and evolving business

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

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.

So, what’s the role all about?
The Senior Technical Account Manager is a seasoned account manager, program/project manager and technical resolution professional who is an expert in their field. They are unified with team members across the company in exceeding customer expectations, improving our processes and technology, and meeting company growth objectives. This role is responsible for resolving complex problems and providing excellent technical and customer service to one or more named enterprise-level accounts. Collaborating with specialist resources across the company, he/she will help key customers overcome issues, succeed in their business using our technology and services, expand their usage of our products, be referenceable and be a loyal customer.

After key customers have purchased and are implementing our solutions, the Technical Account Management (TAM) team takes ownership of the customer relationship and becomes their advocate within NICE. The Technical Account Manager (TAM) begins to engage with the customer before they go live on the contact center platform and collaborates closely with the customer from that point forward to ensure their success.

​Interactions with customers will be conducted via phone, email, chat, and Teams, with planned face-to-face meetings as required. The TAM must be able to work both independently and be part of a wider Sales and Services team ensuring the highest levels of customer success and value realisation is achieved. 

How will you make an impact?   

• Work during the customers' core business hours, with occasional extended hours as needed.
• Occasional on-call after-hours work may be required as needed by the customer.
• As their TAM, be the assigned accounts' prime point of contact and engage resources across several teams as needed to resolve their issues and requests.
• Develop and maintain an effective relationship with assigned accounts, hold regular discussions to review issues, understand their strategic objectives and business, share how NICE's solutions meet their needs, introduce best practices, build mutual success plans and become their trusted partner and advisor.
• Excellent triage and troubleshooting skills, mentoring peers to improve their knowledge and drive success.
• Personally resolve customer issues as required while scheduling time for proactive activities.
• Partnering with other NICE employees and teams (technical support, professional services, product management, engineering, etc.), ensure that all technical challenges and other issues/cases/requests are being managed properly, are within SLA targets, and are progressing toward resolution.
• Demonstrate superior in-depth knowledge of NICE products and associated technologies, especially those employed by assigned accounts.
• Demonstrate expertise and maintain currency in telecommunications, contact center, and related technologies.
• Develop and present customized presentations and reports to assigned accounts that both quantify and qualify product/service usage, realized benefits, achievements, opportunities, and next steps.
• Provide training to accounts to ensure that they get the most out of their NICE investment.
• Ensure that all communication, interactions, assignments, details, and actions are clear, effective, timely (within established SLA), and are recorded into the CRM system.
• Appropriately contribute to and take charge of meetings, calls, and other discussions to convey ownership, organization, progress, and direction
• Consistently and regularly update customer and account information, keeping it current in the CRM system.
• Tactfully, confidently, and professionally communicate with all stakeholders, especially in emotionally charged and escalated situations, bringing people together with the common goal of resolving issues and accelerating the customer's success.
• Assist the team by taking ownership of escalations in your area of expertise, exemplifying the effective handling of complex situations.
• Develop and drive business cases that outline problems, impacts, proposed solutions, and outcomes that help NICE improve our performance and success.
• Present a professional image in communication, conduct, attitude, and attire.
• Demonstrates professionalism and leadership with customers and helps peers to develop the same level of expertise.
• Accountable for all actions, and tactfully reinforce accountability across all employees and teams in the company for delivering to OLA and SLA. Professionally and tactfully teaches proper process and methods that ensure customer service excellence.
• Assist assigned customers in preparation for go-live and build confidence with them as they begin using our products in a live environment.
• Responsible for customer satisfaction and referencability on assigned accounts.
• Participate in team goal achievement and set personal goals that increase effectiveness and success.
• Key member of the TAM team, collaborate, support and backup your teammates.
• Successful at turning struggling accounts into successful accounts.
• Planned travel (up to 25%) required and being co-located on key customer sites.
• Perform other tasks and duties as assigned or needed.
• Follow the company Code of Ethics and NICE policies and procedures at all times.
• Communicate in an effective and professional way with customers in and outside of NICE.

Education Requirement:

• ​Bachelor’s degree in computer science, Business Information Systems or similar field or equivalent work experience required.​

Have you got what it takes?

• 8+ years in a Technical/Service role in software, telecommunications or in customer service, cloud contact center and/or service delivery.
• Wide experience of Enterprise Cloud Telephony and CX Platforms
• Demonstrated technical problem-solving proficiency.
• Excellent analytical and advanced troubleshooting skills with end-users/customers.
• Excellent customer service and communication skills, both verbal and written.
• Ability to multitask and work well in a demanding environment.
• Proficient in Microsoft Office applications.
• Able to work with little supervision and complete projects.
• Working technical knowledge of contact center software/design/functionality.
• Demonstrated experience in a fast-paced environment and meeting customer time constraints.
• Implementation: broad skills in both technology & analysis; experience in communicating at a technical and functional level while managing business rapport.

You will have an advantage if you also have:

• Experience with the NiCE CXone platform
• Experience with Contact Centre as a Service (CCaaS) solutions is highly regarded, along with demonstrated ability to operate in dynamic cloud environments and effectively manage ongoing platform changes
• Extensive infrastructure / networking knowledge, and telecommunications architecture (PBX, Carriers and VoIP/SIP Technology)
• Comprehensive knowledge of Modern CX Platforms and Applications
• Understanding of basic scripting and call flow routing fundamentals
• Experience using SIP signaling.
• Competent in database and SQL concepts and scripting
• Analytical, inquisitive, service & collaborative, friendly demeanor, early adopter.​
• AWS / Azure Technology and Environments
• Demonstrable experience in driving positive Customer Success outcomes.
• ITIL / Project Management exposure and qualifications

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: 10741
Reporting into: Manager
Role Type: Individual Contributor

Anduril is seeking a Supply Planner to join our team in Sydney, Australia. The Supply Chain team is responsible for planning and sourcing of materials to support rapidly iterating and building of cutting-edge defense hardware for autonomous underwater vehicles (AUV). The Supply Planner will have material flow responsibility spanning the entire value chain from raw materials through finished goods and contributing to the strategic supply network development of Anduril’s product hardware, across their life cycles. They will have full ownership of certain assemblies and product lines, and will be ultimately responsible for sending the correct signals to Purchasing and Manufacturing on what and when to buy or build.

The right person for this role can demonstrate experience working in a fast-paced, resource-limited environment such as defence manufacturing, aircraft maintenance or advanced technology manufacturing environments. This person will be flexible to provide support wherever needed to ensure products are built and shipped under stringent quality standards. If you are someone who thrives in such an environment, then this role is for you.

WHAT YOU'LL DO:

• Own the accurate planning and on-time delivery of both raw material to internal assembly lines as well as finished goods to customers
• Support day-to-day demand signaling, ordering, and inventory management for product lines
• Identify supply issues, flag with the appropriate owners across Engineering, Purchasing, Manufacturing, and drive resolution
• Own the reporting and analysis of supply and material health and ensure that stakeholders have the inputs they need to make decisions across Engineering (cut-in dates for new designs), Purchasing (signals on what to buy), Manufacturing (signals on being clear-to-build and what to build), Business Development (supply overview to drive customer contracts)
• Work closely with the Sourcing Engineers and Manufacturing Engineering team to source components, maintain vendor relationships, and develop make vs. buy strategies
• Facilitate discussions with Business Development and Growth teams to review unconstrained forecasts and get to constrained demand plans that are achievable
• Develop and maintain processes for working within MRP and the associated master data
• Support all cost engineering activities to converge the bottoms-up cost curve to product cost, maximizing the total cost of ownership (TCO) across the product lifecycle

REQUIRED QUALIFICATIONS:

• 3+ years past experience in a fast-paced manufacturing environment in either a supply chain or production-type role where complex mechanical and/or electrical assemblies were built
• Demonstrated ability to completely own a value chain from start to finish, coordinating among multiple different internal and external parties to achieve on-time deliveries under stringent quality standards
• Familiarity with developing high-tech products in a high-mix, low-volume environment
• Prior knowledge of Netsuite or a similar Enterprise Resource Planning (ERP) system
• Bachelor’s degree in engineering (BSME, BSEE) or other related technical degree. Advanced technical degree or MBA strongly preferred
• Eligibility to obtain a NV1 security clearance (status not required at time of hire)

PREFERRED QUALIFICATIONS:

• Experience interacting with SQL databases - storage of information and building custom queries for tracking production and inventory-related metrics
• Bachelor’s degree or higher in any technical field including mechanical/aerospace/manufacturing, electrical, or computer engineering, supply chain, or business with a technical minor or concentration.
• Experience with Lean Manufacturing and/or Continuous Improvement and Six Sigma principles in action

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!

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!

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

Harbor is seeking a Technical Consultant to join our Australian team within our Enterprise Solutions practice group. The Technical Consultant ensures successful client engagements and consistent client satisfaction in both production issue resolution and continual improvement tasks.  The Technical Consultant will work closely with a team of skilled individuals from a variety of technical and professional backgrounds across multiple time zones.  Providing an excellent customer experience is an integral part of this role.   This is a remote based position with the potential to be hybrid in Australia. 

Job Duties and Responsibilities: 

• Perform updates for the Elite 3E platform  
• Provide technical consulting around various platforms 
• Assist with support across various platforms 
• Provide application guidance to clients and collaborate with users to achieve their business needs. 
• Analyse and resolve complex application and data integrity issues. 
• Document processes and procedures as required by clients. 
• Prepare test cases and perform QA testing on application enhancements. 
• Stay current with application releases. 
• Requirement for on-site visits should the need arise. 
• Provide mentorship and guidance to more junior team members. 
• Contribute to the work of the wider team, including: 
• Serve as a point of contact for clients, addressing concerns, and resolving issues. 
• Build trusted relationships with clients to effectively support long term service and growth. 
• Ensure that services are delivered and client cases are updated in according to service level agreements (SLAs).  
• Contribute to team Knowledge Base. 
• Provide best practices guidance and solutions based on business needs. 
• Work with cross-functional teams to delegate work as needed. 

Experience, Education and Qualifications: 

• Bachelor's degree in computer science, business administration, information systems or equivalent combination of experience and education. 
• 3+ years of related experience with responsibilities related to Legal Technology or Professional Services products and services. 
• 3+ years of experience in a customer-facing role. 
• Preferred experience in Elite 3E, Intapp, iManage, Aderant and NetDocuments and/or experience in a law firm or legal services environment. 
• Preferred knowledge of SQL and Windows Operating System. 
• Intermediate level of experience dealing with collaboration and project tracking tools e.g. Jira and Confluence. 
• Strong analytical and problem-solving skills. 
• Ability to communicate effectively, verbally and in writing, with technical, business and management staff. 
• Ability to manage multiple deliverables in a fast-paced environment within a framework of constantly shifting priorities. 
• Excellent interpersonal skills with the ability to develop solid working relationships with colleagues and clients. 
• Flexibility to adapt to change and to learn and develop new skillsets as required. 

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

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

The Technical Account Management Support and Services team partners directly with our largest and fastest growing users, supporting them both proactively with a consultation model, and reactively to solve their most complex issues, enabling them to grow their business. We partner closely with sales to ensure we are attaching the right support plans to the right users at the right time. We take a user first approach to how we operate, capturing user feedback on what we need to offer to delight them and exceed all expectations. We operate with a scaled proactive, preventative mindset to ensure our users have a seamless experience with Stripe.

What you’ll do

Stripe is looking for an experienced Sydney-based leader to lead and grow the Technical Account Management Support and Services team responsible for supporting our largest and most strategic users. The leader will lead a high performing team of TAMs who are motivated by improving the lives of Stripe’s user base. They will set the standard for strategic user partnership and support, influencing globally, partnering closely with the go to market organizations, product, engineering alongside the support organization. They will cultivate a user first culture, with high accountability, collaboration and a scale mentality, a culture which embodies a coaching mindset to unlock potential. This role will report to our Senior Manager of Technical Account Management. 

Responsibilities

• Responsible for delivering exceptional user experience for Stripes most strategic users
• Lead a team of highly experienced TAMs, building an measurable operation which delivers strong operational results for users
• Work directly with our largest users’ leaders as a thought partner for key initiatives and expansions
• Partner closely with senior stakeholders across product, engineering, go-to-market and support
• Invest in leading & growing a great team and culture, where both new and tenured Stripes can thrive 
• Obsess over delivering incredible user experiences
• Run this business to successfully deliver revenue, user experience, user value and scalability goals for the users and Stripe
• Setting the segment strategy, thinking globally about metrics and driving clear accountability for the business. Own the P&L.
• Partner closely with global leadership to grow the business in a scalable way, optimizing for user experience and balancing that with efficiency
• Lead the way on user experience for Stripe’s Enterprise users, determine what excellence looks like and scale it beyond strategics
• Build a coaching culture that unlocks Stripes’ potential, remove roadblocks and elevate opportunities that will enable the business to scale more broadly
• Maintain metrics and analysis of team performance, and provide regular reporting on team performance in the form of written analysis and performance reports
• Transmit and foster our values, serving as a beacon of Stripe’s user-centric philosophy and culture of transparency, empathy, inclusion, and empowerment
• Help build the organization through management projects such as recruiting, training, writing team policies, defining team processes, or other organizational improvements

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. 

Minimum requirements

• Minimum of 15 years professional experience, with at least 1 year in management, demonstrating success in building and leading high-impact teams and businesses in dynamic environments
• Experience leading customer success managers, account managers, technical account managers, technical program managers, or premium support teams (preferably in high-growth technology companies)
• Experience in finance, fintech
• Excellent collaborator, with a proven track record in managing across complex environments, building relationships that deliver impact
• Excellent written and verbal communication skills
• Strong sales revenue growth and/or operational background and a track-record of making data driven decisions
• An ability to execute on and deliver complex operational projects involving multiple stakeholders

Preferred qualifications

• Experience with fintech SaaS products and/or Payments industry
• Experience leading growth initiatives (through driving sales revenue and/or elevating operational service) with winning track-record
• Proven ability to scale a technical services or technical support team in a high-growth environment
• Experience with APIs and ability to explain API concepts to Stripe’s largest and most technical customers
• Familiarity with SQL and comfort building basic queries and modifying more complex ones

About the Role

The Technical Account manager is a technical team member responsible for all aspects of the planning, architecture, coordination, and management of professional services engagements.

The focus is on architecting and project management of availability solutions, including data protection and monitoring. The Technical Account manager is an expert in the areas of Data Management, Data Analytics, Business Continuity, Data Center, Cloud, Operating Systems, Networking, Storage, and Virtualization.

What You’ll Do

• Provide input to the writing of proposals and Statements of Work
• Support delivery implementation and consulting services to meet Veeam Software solution design and deliverables
• Provide overall project guidance (Project plans, Schedules, Communication Plans, Resource plans, Status updates, etc.)
• Assist with assessment and design of solutions
• Assist with Veeam Software solution implementation effort estimation
• Assist with post-installation issues
• Create white papers, solutions guides, best practices, custom documentation, etc.
• Deliver onsite knowledge transfer on Veeam Software solutions
• Assist in the selling of Professional Services
• Document configuration and completed activities
• Analyze installed environments and guide optimal Veeam Software configurations
• Facilitate communication between client and Veeam support
• Identify additional needs within the client’s environment that can be resolved with Veeam Software solutions
• Provide input for improvement of process and documentation
• Overnight travel to meet company goals and objectives
• Perform other duties, as assigned

What You’ll Bring

• VMware VCP, Microsoft MCSE or equivalent experience
• Prince 2, ITIL, PMP, or equivalent experience
• Bachelor’s Degree in technology required (A combination of education and experience will be considered)
• Hands-on experience with Veeam’s Core products
• Proven Consulting and Project Management experience
• Excellent communication, interpersonal and relationship-building skills
• Responsible for understanding customer needs and architecting an appropriate solution.
• Focuses on developing deep technical knowledge of VEEAM solutions and a broad range of associated technologies.
• Significant experience and understanding of virtualisation technologies such as VMware and Hyper-V
• Experience with disruptive storage systems and technologies (Nimble, Nexsan, Actifio, Veeam, etc.)
• Hands-on experience with networking protocols and equipment (Fibre Channel, Ethernet, Cloud services)
• Experience with traditional storage and backup architectures (EMC, NetApp, IBM, HP/3PAR, Hitachi, Dell, etc.)
• Hands-on experience with Enterprise applications (Exchange, SQL, Oracle, etc.)
• Experience with Data Management, Data Protection, Data Analytics
• Extensive experience with Data Center, Business Continuity and Operating Systems
• A proven track record of success (Attitude, Competency, Activity Levels)
• Experience successfully managing multiple simultaneous projects and accounts
• Working knowledge of Cloud technologies, capabilities, and protocols
• Working knowledge of Cyber Security, common attacks and mitigation solutions

What You’ll Get 

• 20 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical insurance and income protection during illness or injury
• Annual wellbeing allowance and flu vaccination vouchers
• Discounted HCF corporate health insurance
• Free, confidential counselling and coaching via EAP
• Superannuation contributions via salary sacrifice
• Car allowance for eligible field sales roles
• Salary sacrifice options for portable electronic devices (phones, laptops, tablets)
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

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.

As a Sr. Measurement Partner, you'll assist our Sales team, Advertisers, and Agency partners in understanding and enhancing the effectiveness of their advertising on Pinterest. You'll serve as an advocate, strategist, and thought leader for ad measurement at Pinterest. At the intersection of Business and Product, we aid in driving advertiser performance and provide in-market feedback to our Product organization, influencing our ad and measurement solutions strategies. This position presents a unique opportunity to engage with senior-level executives on a strategic level and help shape the future of how brands advertise on Pinterest.

What you’ll do:

• Conduct and deliver measurement tests and analyses for Pinterest’s advertisers using a combination of internal and external measurement solutions
• Develop data-driven guidelines and best practices to enhance the effectiveness and scalability of performance measurement support
• Improve overall Sales and advertiser comprehension and adoption of measurement through training and education
• Collaborate closely with other Measurement partners globally to ensure alignment and consistency
• Help Sales articulate the Pinterest value proposition and handle objections using knowledge of measurement, AdTech and analytics
• Communicate complex measurement concepts to non-technical audiences and influence client measurement thinking
• Engage in strategic conversations with advertisers’ senior stakeholders to challenge and influence measurement practices
• Stay on top of current measurement approaches and technologies, providing guidance and recommendations to our clients

What we’re looking for:

• 5+ years of demonstrated digital ads measurement experience within a technology company, media agency, consulting firm, advertiser, or research company
• Bachelor’s degree in a relevant field such as Economics, Statistics, Mathematics or equivalent experience
• Expertise with measurement concepts, solutions, and underlying statistical fundamentals leveraged in the ads measurement ecosystem, specifically, including media mix modeling, sales lift, geo match market tests, and brand/conversion lift
• SQL-based programming experience, ideally working with a marketing and/or ad effectiveness datasets 
• Strong analytical skills with the ability to synthesize across multiple data sources and turn numbers into actionable insights
• Ability to work-cross functionally, independently, with sales, product, and other members of the Partner Measurement team
• Experience communicating complex measurement concepts directly with Partners with a wide range of measurement sophistication

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• As such, this role will need to be in the office or in front of our customers for in-person collaboration, typically 2 days per week, and therefore needs to be in a commutable distance to our Sydney City based office.

#LI-JC11
#LI-HYBRID

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 looking for an experienced software engineer and team leader to lead our APAC Data Engineering Platform team. The team is responsible for developing Optiver’s next-generation data platform for research and real-time trading, covering orchestration, storage, access and governance of data at scale. This team delivers robust, consistent solutions for a range of stakeholders across the business including engineers, researchers and traders. Our Data Engineers develop solutions using a mix of third-party and in-house technologies, owning their changes end-to-end including understanding the business problem, design, implementation, testing, deployment and monitoring.

As a leader you will be responsible for working with stakeholders across the company to define the team's strategy and roadmap, and you will execute that vision with your team. Your leadership will directly enable a faster, simpler, and more scalable innovation cycle for Optiver globally. You will also be responsible for building the team and growing engineers to reach their full potential. This is a hybrid leadership and engineering role with meaningful hands-on time across requirements, architecture, and code.

Other responsibilities include:

• Build and lead a high performance data engineering team, including managing performance, career development and delivery.

• Own and deliver the vision, strategy and roadmap for Optiver’s data platform.

• Architect platform components (orchestration, storage/table formats, metadata/governance, streaming) that scale across APAC and integrate globally.

• Partner with stakeholders (research, trading, developers, SRE, security) to prioritise and achieve cross-team changes.

• Standardise ingestion and access workflows, including schema management, lineage, permissions and audit.

• Collaborate with our Europe & US offices to converge patterns and shared services.

• Contribute hands-on to key designs and production code. Uphold high engineering standards and best practices.

Who you are

Optiver needs our next Data Team Lead to have:

• 7+ years experience as a Software Engineer delivering production platforms and 2+ years of experience leading software engineering teams.

• Strong experience with distributed systems & reliability fundamentals, including partitioning, replication, consistency/availability tradeoffs.

• Expertise with one or more of Python/C++/Java/Rust. Solid API and system design skills.

• Data platform fundamentals, including batch/stream processing, table formats, object storage, SQL.

• Understanding of security and governance, such as encryption, authentication, and access control.

• Practical experience with streaming and batch data (e.g., Kafka + Schema Registry).

• Experience making architectural decisions on IT solutions, system design & implementation.

• Excellent stakeholder communication and roadmap ownership.

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.

Are you interested in financial markets, AI and computer programming? Do you enjoy solving complex problems, building tools, automation, and analysis? If you like the idea of working in a fast-paced and collaborative environment, then you might be the next Trading Analyst at Optiver!

We are looking for an experienced and talented AI specialist Trading Analyst to join our Trading Analyst team. You will bring your technical expertise to enhance the Trading Analyst team whilst also working closely with trading, research and developer teams to solve complex trading problems, analyse the markets we trade and the strategies we use to generate innovate trading ideas. In addition, you will build tools and systems to evolve the team’s trading and operations.

WHAT YOU’LL DO:

• Design, build and deploy AI-powered agents that augment traders’ decision-making, automate repeatable workflows, and enable our trading to operate more efficiently and at greater scale.
• Develop intelligent automation for traders via scripting APIs, embedding AI agents directly into day-to-day trading workflows.
• Drive data insights by owning and evolving data pipelines to analyse market behaviour and inform systematic and discretionary trading strategies.
• Create intuitive dashboards and visualisation tools (using Dash, Excel/VBA, Svelte, etc.) that deliver real-time analytics, directly support trading decisions on the floor, generate actionable insights and track key performance indicators.
• Collaborate cross-functionally with traders, researchers, developers and external partners to continuously improve and optimise our trading strategies and operational processes.

WHO YOU ARE:

• 3+ years’ experience in an equivalent role highly desirable
• A strong quantitative background (a degree in math, science, technology, actuarial studies, or finance)
• Proficient in Python, SQL, and Excel/VBA
• Strong interest and experience with AI
• Strong numerical and problem-solving skills
• Strong communication and collaboration skills
• A demonstrated passion for trading
• Willingness to learn new technologies, navigate frequent change, and contribute to a high-performance environment

What you'll get:

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and 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.

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

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

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 looking for an experienced software engineer and team leader to join our APAC Data Engineering Platform team. The team is responsible for developing Optiver’s next-generation data platform for research and real-time trading, covering orchestration, storage, access and governance of data at scale. This team delivers robust, consistent solutions for a range of stakeholders across the business including engineers, researchers and traders. Our Data Engineers develop solutions using a mix of third-party and in-house technologies, owning their changes end-to-end including understanding the business problem, design, implementation, testing, deployment and monitoring.

As a leader you will be responsible for working with stakeholders across the company to define the team's strategy and roadmap, and you will execute that vision with your team. Your leadership will directly enable a faster, simpler, and more scalable innovation cycle for Optiver globally. You will also be responsible for building the team and growing engineers to reach their full potential. This is a hybrid leadership and engineering role with meaningful hands-on time across requirements, architecture, and code.

Other responsibilities include:

• Build and lead a high performance data engineering team, including managing performance, career development and delivery.

• Own and deliver the vision, strategy and roadmap for Optiver’s data platform.

• Architect platform components (orchestration, storage/table formats, metadata/governance, streaming) that scale across APAC and integrate globally.

• Partner with stakeholders (research, trading, developers, SRE, security) to prioritise and achieve cross-team changes.

• Standardise ingestion and access workflows, including schema management, lineage, permissions and audit.

• Collaborate with our Europe & US offices to converge patterns and shared services.

• Contribute hands-on to key designs and production code. Uphold high engineering standards and best practices.

Who you are

Optiver needs our next Engineering Lead to have:

• 7+ years experience as a Software Engineer delivering production platforms and 2+ years of experience leading software engineering teams.

• Strong experience with distributed systems & reliability fundamentals, including partitioning, replication, consistency/availability tradeoffs.

• Expertise with one or more of Python/C++/Java/Rust. Solid API and system design skills.

• Data platform fundamentals, including batch/stream processing, table formats, object storage, SQL.

• Understanding of security and governance, such as encryption, authentication, and access control.

• Practical experience with streaming and batch data (e.g., Kafka + Schema Registry).

• Experience making architectural decisions on IT solutions, system design & implementation.

• Excellent stakeholder communication and roadmap ownership.

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.

Optiver is seeking an experienced Fixed Income ETF Trader to join our D1 Trading Team in Sydney, as we expand our ETF coverage to include fixed-income products. You will be part of a high-impact, collaborative team, where you’ll be responsible for establishing and running this new desk.

What you'll do:

• Build and run the Fixed Income ETF desk, extending our existing equity-ETF presence.
• Quote, execute, and manage risk in fixed-income ETFs across APAC - both on-screen and OTC.
• Collaborate with quants, engineers, and other traders to identify and capture trading opportunities.

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.

Who you are:

• 3+ years trading experience in ETFs and/or Fixed Income within APAC; China Fixed Income exposure highly valued.
• Deep knowledge of bond-market structure and how ETFs interact with the primary market.
• Solid grasp of Fixed Income-ETF valuation, basket construction, liquidity sourcing and creation/redemption mechanics.
• Proficiency in Python (or similar) for data analysis; SQL or C++ a plus.
• Clear, concise communication style; ability to work closely with quants, technologists and external counterparties.

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.

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, India, Taiwan and Japan exchanges, and act as Optiver’s APAC head office. 

WHAT YOU’LL DO

Middle Office provides independent control of trading activities and is responsible for validating the trading balance sheet and ensuring the accuracy of P&L reporting. The team supports the business by providing timely and accurate information and ensuring that operational requirements are optimised. Middle Office provides the link to our (outsourced) back-office teams, and internally works closely with Trading, Risk, Compliance, Financial Control, and Management Reporting. The essence of this role requires:

• Accountability for the execution and timely reporting of daily P&L though validation and ownership of the trading balance sheet, trading position reporting, in-line with global policy
• Ownership of the month end Trading ledger process, ensuring accounting in accordance with IFRS pronouncements
• Creating simplified reporting to understand and explain desk trading strategies
• Applying your knowledge of technology to create solutions for the monitoring, reporting and accounting of financial instruments
• Be the primary escalation point for the Middle Office Team to advise, train and assist the Team in delivering workflow efficiencies
• Guiding and supporting junior team members
• Identifying and initiating small projects to improve efficiencies
• Supporting Middle Office team with ad hoc improvement requests
• Ensuring operational optimisation for new trading initiatives

WHO YOU ARE

• Information Technology, Data Science or related degree and/or Finance or related degree with strong technology and data capabilities
• Australian citizen or permanent resident
• 3+ years in creating and delivering Technology based solutions, with additional experience in Data Science or AI solutions desirable
• Strong understanding of coding and creating automated solutions
• Proficient in Databricks, Python, SQL: AI Agent development experience desirable
• A continuous improvement mindset and a desire to create scalable solutions
• Self-Starter with strong analytical, problem-solving and communication skills

WHAT YOU’LL GET

• The chance to work alongside diverse and intelligent peers in a rewarding environment
• 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 a company trip every two year

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

As a Principal Engineer, you will play a key role in building and evolving Optiver’s next-generation data platform that supports research and real-time trading.

The platform spans orchestration, storage, access and governance of data at scale, enabling engineers, researchers and traders to work efficiently with high-quality data.

Your responsibilities will include:

• Designing and developing scalable data platform components (e.g. orchestration, storage formats, metadata and streaming systems)
• Working across the full lifecycle: problem understanding, design, implementation, testing, deployment and monitoring
• Contributing to architectural decisions that improve performance, scalability and reliability
• Standardising data ingestion and access patterns, including schema management, lineage, permissions and auditing
• Collaborating with stakeholders across engineering, research, trading, SRE and security to deliver impactful solutions
• Driving high-quality engineering practices, including code quality, testing and observability
• Partnering with global teams to align on shared patterns and platforms

This is a hands-on role with meaningful contribution to system design and production code

Who you are

Optiver needs our next Principal Engineer to have:

• 7+ years experience as a Software Engineer delivering production platforms.

• Strong experience with distributed systems & reliability fundamentals, including partitioning, replication, consistency/availability tradeoffs.

• Expertise with one or more of Python/C++/Java/Rust. Solid API and system design skills.

• Data platform fundamentals, including batch/stream processing, table formats, object storage, SQL.

• Understanding of security and governance, such as encryption, authentication, and access control.

• Practical experience with streaming and batch data (e.g., Kafka + Schema Registry).

• Experience making architectural decisions on IT solutions, system design & implementation.

• Excellent stakeholder communication.

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.

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. 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.

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

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.

About the Role

As a Platform Engineer on the Platform Team, you'll thrive in a diverse and dynamic environment working alongside seasoned professionals, including senior developers, tech leads, and architects. This role sits at the intersection of platform engineering and DevOps — you'll build and maintain the infrastructure, tooling, and automation that powers Karbon's engineering teams while driving continuous improvement across our cloud platform

Your primary responsibilities include hands-on development, infrastructure management, and operational excellence. You'll design and evolve shared platform capabilities that improve reliability, scalability, and developer productivity across the organisation.

AI is reshaping how software gets built — and we see it as a force multiplier for engineers. You’ll be expected to use AI tools effectively to accelerate development, improve productivity, and enhance engineering workflows.

Some of your main responsibilities will include:

• Building and evolving shared platform capabilities that improve reliability, scalability, and developer productivity across teams
• Designing, building, and maintaining CI/CD pipelines and deployment workflows using GitHub Actions to enable reliable, repeatable production releases
• Developing and maintaining Infrastructure as Code using Terraform to provision and manage cloud environments at scale
• Supporting and improving containerised workloads using Docker and Azure Container Apps
• Building and maintaining monitoring, alerting, and observability systems using Datadog and OpenTelemetry to ensure production visibility
• Driving cross-team platform and architectural improvements, proactively identifying and eliminating technical debt
• Investigating and resolving infrastructure and platform-related issues, contributing to operational resilience and disaster recovery
• Improving developer experience through tooling, automation, and self-service infrastructure
• Collaborating closely with engineering and product teams to implement platform solutions and streamline developer workflows
• Contributing to cloud cost optimisation and security fundamentals including identity, access management, and secrets management
• Delivering operational support for the platform as part of a team on-call roster rotation

What Sets You Apart!

• 3–5+ years of experience in software engineering, platform engineering, DevOps, or site reliability engineering
• Strong proficiency in C#, .NET, and SQL, with the ability to design scalable, maintainable systems
• Experience building and maintaining CI/CD pipelines using GitHub Actions, Jenkins, or similar tools
• Strong experience with Azure cloud platforms, including Infrastructure as Code (Terraform) and operating production systems
• Experience with Docker containerisation and cloud-native application deployments (Azure Container Apps or similar orchestration platforms)
• Deep understanding of distributed systems design, including fault tolerance, scalability, and event-driven architectures
• Solid understanding of observability and production operations, including monitoring, logging, tracing, and SLO-driven reliability (Datadog, OpenTelemetry)
• Experience improving developer experience through tooling, automation, and self-service infrastructure
• Proven experience driving cross-team platform or architectural improvements
• Understanding of cloud security fundamentals, including identity, access management, and secrets management
• Good understanding of infrastructure fundamentals (Linux, Windows, DNS, networking)
• Experience automating workflows using PowerShell, Bash, Python, or similar scripting languages
• Strong foundations in software design, clean architecture, and engineering best practices, with experience using Git in collaborative environments
• Familiarity with a range of data storage technologies (SQL, Elasticsearch, NoSQL) and their trade-offs
• Excellent communication skills and the ability to collaborate across distributed, international engineering teams
• A proactive approach to problem-solving with a self-starter mindset that adapts well to changing priorities
• Bachelor's degree in Computer Science or equivalent practical experience

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

Your Impact:

Reporting to the AI ROC Lead, you will join the Operations Digital Solutions team, working at the intersection of operations, data, and technology to improve how data centres operate at scale. You will help modernise decision-making by shifting from traditional reporting to scalable data models built on trusted metrics, reusable data assets, and high-quality transformations. Your work will shape how operational data is structured, accessed, and used across analytics, business intelligence, and AI.

What you’ll do:

• Build and maintain high-quality operational data products that drive business decisions

• Design reusable datasets, metrics, and semantic layers for scalable use across teams

• Partner with operations, AI, and data teams to deliver practical, impactful solutions

• Analyse performance data to identify trends, inefficiencies, and opportunities

• Enable self-service and “ask-my-data” capabilities through well-structured data assets

• Support the growth of AI ROC by improving data accessibility, quality, and usability

What you'll bring:

• Experience in data modelling, transformation, and analytics (e.g. SQL, Python, or similar)

• Ability to translate business needs into scalable, reusable data solutions

• Strong stakeholder collaboration skills across technical and operational teams

• Commitment to data quality, governance, and continuous improvement

Do you crave new challenges in your work? Are you looking for a job in which every day looks different from the one before it? Is the idea of bringing the benefits of data and analytics to organizations exciting? Are you hard-wired to solve problems through creativity and deep investigation?

If you love people as much as solving problems, we want you on our team. The heart of this position is creating and communicating value in ways that businesses can actually use, and that takes several forms. Analytics Consultants partner directly with clients to prepare data, build data products, and influence analytics strategy.

We need someone with a solid technological foundation and a team-focused approach to work. The ideal fit for this role is someone built for meaningful connection who aims to empower clients with the right solutions for their needs. The ability to quickly create value through innovative solutions is key to the success of our analytics consultancy, but that’s second nature to you, isn’t it?

Please be advised that this role is required to be located in the Perth, Australia InterWorks office.  Remote work or telecommuting arrangements outside of this jurisdiction are not permissible for this position.  Must be a current resident of Australia to apply.  

Salary range commensurate with experience and qualifications: $75,000 - $120,000

What You’ll Do

• Work alongside clients to execute end-to-end projects spanning the full spectrum of analytics, from data preparation to the boardroom’s forecast analysis.
• Bridge the gap between business and IT and empower clients to make well-informed, data-driven decisions.
• Support clients directly through clear communication and consistent delivery of compelling solutions that exceed expectations.
• Adapt to change quickly as agile development methodologies run throughout our engagements.

What You’ll Need

• Excellent verbal and written communication skills
• Passion for interacting with people
• Passion for data visualization and data storytelling
• Problem-solving skills – technical and non-technical
• Ability to apply structure to ambiguous requests
• Easily adaptable and flexible to changing situations
• BI Software experience (Tableau, Power BI, Sigma)
• SQL and data warehouse (Snowflake, SQL Server, Redshift)
• Deep knowledge of data visualization best practices
• 1-3 years of professional experience 

What We Offer:

• Health Benefits: Our people are our most important asset. That's why we offer an exceptional health insurance subsidy through BUPA, ensuring you and your family are well taken care of.
• Wellness Benefits: We want you to stay healthy! Our employees receive an annual allowance to spend on their favourite gym memberships, sports activities, or workout apps.
• Work-Life Balance: We offer a life balance allowance, encouraging our employees to relax and recharge — whether with family or going solo.
• Tech Choice: Windows or Mac? 13-inch or 15-inch? Lightweight or heavy-duty? You know what works best for you. Our employees have a wide choice of equipment, plus a contribution towards standing desk equipment.
• Professional Growth: We invest in our people. You'll have access to ongoing training, certifications, and professional development opportunities to keep your skills sharp and your career moving forward.
• Community Impact: We InterWorkers like to use our powers for good. As well as undertaking pro bono consulting work, we support our colleagues' individual charitable passions with dedicated time off for volunteering.
• Superannuation: Compulsory superannuation contributions are paid on top of your base salary in accordance with Australian legislation.

Are you passionate about data strategy, architecture, and empowering businesses with data-driven insights? Do you enjoy designing scalable solutions and guiding organizations through complex data challenges? At InterWorks, we’re looking for a Data Architect who thrives in dynamic environments and is ready to help shape the future of data for our clients.

This role blends the rigor of enterprise data architecture and governance with the energy of consulting and solution-building. You’ll work with clients across industries to build robust data platforms, define standards, and implement governance frameworks that create lasting value.

Please be advised that this role is required to be located in the Melbourne, Australia InterWorks office. Remote work or telecommuting arrangements outside of this jurisdiction are not permissible for this position.

Salary range commensurate with experience and qualifications.

What You’ll Do

• Architect and implement enterprise-level data solutions that align with business goals and compliance requirements.
• Design and optimize data models, storage solutions, and integration pipelines across various platforms (Snowflake, Databricks, etc.).
• Partner directly with clients to develop scalable data platforms, data governance frameworks, and analytics strategies.
• Create and oversee ETL/ELT processes and advise on best practices for data quality, security, and accessibility.
• Serve as a strategic liaison between business and IT to bridge gaps and ensure alignment.
• Manage project timelines, expectations, and deliverables with clear communication and strong stakeholder engagement.

What You’ll Need

Must-Haves

• 5+ years of experience in data architecture, data engineering, or a related field
• High proficiency in SQL and strong data modeling skills
• Experience in data governance, compliance standards, and enterprise data strategy
• Excellent communication skills—written, verbal, and interpersonal
• Ability to thrive in client-facing environments and lead cross-functional teams
• Adaptability and problem-solving mindset in fast-paced and ambiguous situations
• Proven experience with data lakehouse architecture including the storage and processing of semi-structured and unstructured file types
• Proven support for data science initiatives
• Understanding of pipeline and cost monitoring and optimisation
• Comfortable leading business engagements to source requirements or refine data models
• Experience with Azure & AWS CSP's preferable

 What We’d Like You to Have

• Experience with BI and visualization tools (e.g., Tableau, Power BI)
• Familiarity with modern data warehouses and cloud platforms (e.g., Snowflake, Databricks)
• ETL tool experience (e.g., dbt, Matillion, Informatica, Fivetran)
• Knowledge of AI/ML concepts and their role in data platforms
• Degree in Computer Science, IT, or a related field (preferred)

What We Offer:

• Health Benefits: Our people are our most important asset. That's why we offer an exceptional health insurance subsidy through BUPA, ensuring you and your family are well taken care of.
• Wellness Benefits: We want you to stay healthy! Our employees receive an annual allowance to spend on their favourite gym memberships, sports activities, or workout apps.
• Work-Life Balance: We offer a life balance allowance, encouraging our employees to relax and recharge — whether with family or going solo.
• Tech Choice: Windows or Mac? 13-inch or 15-inch? Lightweight or heavy-duty? You know what works best for you. Our employees have a wide choice of equipment, plus a contribution towards standing desk equipment.
• Professional Growth: We invest in our people. You'll have access to ongoing training, certifications, and professional development opportunities to keep your skills sharp and your career moving forward.
• Community Impact: We InterWorkers like to use our powers for good. As well as undertaking pro bono consulting work, we support our colleagues' individual charitable passions with dedicated time off for volunteering.
• Superannuation: Compulsory superannuation contributions are paid on top of your base salary in accordance with Australian legislation.

The Team: Marketplace Quality Engineering

Every second, our bidder evaluates millions of ad opportunities across thousands of publishers and supply paths. Not all of that supply is created equal — some of it is duplicated, some is structurally inaccessible, and some degrades advertiser outcomes. The Marketplace Quality Engineering team exists to make sure our platform is buying the right impressions, not just more impressions.

We own the systems that assess, measure, and optimize supply quality across the programmatic ecosystem. Our work spans deduplication, supply path analysis, quality modeling, and the tooling that turns those signals into decisions at bid time. The problems are technically deep — think identity resolution across fragmented supply chains, statistical modeling to separate signal from noise, and real-time decisioning at platform scale — and they have direct, measurable impact on both advertiser outcomes and platform economics.

This is not theoretical work. When we ship a model update, spend distribution across the platform shifts. Our engineering decisions translate directly into tens of millions of dollars of measurable business impact. If you want to build systems where what you ship visibly matters, this is the team.

You will work with C# / .NET as a core strength, alongside Python and SQL where data and automation need it, and partner closely with product, data, and platform teams across time zones.

Who you are

Our culture runs deeper than having fun together (though we do that well, too). We take pride in our engineers being trust-builders, generous givers, scrappy problem solvers, and gritty pursuers of excellence. You do not need to meet every requirement below, but people who meet most of them tend to thrive in this role:

- You are comfortable working on an agile, distributed team across time zones and continents.
- You communicate effectively with both technical and non-technical audiences.
- You have a solid grasp of computer science and engineering fundamentals.
- You have strong experience with distributed systems and data-heavy backend work (services, pipelines, or both).
- You are proficient in C# / .NET.
- You are productive with modern development tools: Visual Studio, Visual Studio Code, Rider, and Git.
- You bring 7+ years of software development or engineering experience.

Nice to have (not required): GraphQL or REST API design, large-scale data processing frameworks (e.g. Apache Spark), workflow orchestration tools (e.g. Apache Airflow), schema-based data serialization, Kubernetes, Kafka, database engines (Microsoft SQL Server, PostgreSQL, Aerospike, Vertica, Redis), microservices, Python for data work or automation, and experience working across large codebases with multiple teams.

A wide range of technical opportunities is one of the best parts of engineering at The Trade Desk, which is why we do not expect you to know every technology we use on day one. What matters is that you learn quickly and solve complex problems with the right tools. What you know today matters less than how well you learn, adapt, and innovate. We are not looking for people who already have all the answers — we want engineers who can invent answers no one has thought of yet and frame the questions we have not yet asked.

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.

About the Role

As a Platform Engineer on the Platform Team, you'll thrive in a diverse and dynamic environment working alongside seasoned professionals, including senior developers, tech leads, and architects. This role sits at the intersection of platform engineering and DevOps — you'll build and maintain the infrastructure, tooling, and automation that powers Karbon's engineering teams while driving continuous improvement across our cloud platform

Your primary responsibilities include hands-on development, infrastructure management, and operational excellence. You'll design and evolve shared platform capabilities that improve reliability, scalability, and developer productivity across the organisation.

AI is reshaping how software gets built — and we see it as a force multiplier for engineers. You’ll be expected to use AI tools effectively to accelerate development, improve productivity, and enhance engineering workflows.

Some of your main responsibilities will include:

• Building and evolving shared platform capabilities that improve reliability, scalability, and developer productivity across teams
• Designing, building, and maintaining CI/CD pipelines and deployment workflows using GitHub Actions to enable reliable, repeatable production releases
• Developing and maintaining Infrastructure as Code using Terraform to provision and manage cloud environments at scale
• Supporting and improving containerised workloads using Docker and Azure Container Apps
• Building and maintaining monitoring, alerting, and observability systems using Datadog and OpenTelemetry to ensure production visibility
• Driving cross-team platform and architectural improvements, proactively identifying and eliminating technical debt
• Investigating and resolving infrastructure and platform-related issues, contributing to operational resilience and disaster recovery
• Improving developer experience through tooling, automation, and self-service infrastructure
• Collaborating closely with engineering and product teams to implement platform solutions and streamline developer workflows
• Contributing to cloud cost optimisation and security fundamentals including identity, access management, and secrets management
• Delivering operational support for the platform as part of a team on-call roster rotation

What Sets You Apart!

• 3–5+ years of experience in software engineering, platform engineering, DevOps, or site reliability engineering
• Strong proficiency in C#, .NET, and SQL, with the ability to design scalable, maintainable systems
• Experience building and maintaining CI/CD pipelines using GitHub Actions, Jenkins, or similar tools
• Strong experience with Azure cloud platforms, including Infrastructure as Code (Terraform) and operating production systems
• Experience with Docker containerisation and cloud-native application deployments (Azure Container Apps or similar orchestration platforms)
• Deep understanding of distributed systems design, including fault tolerance, scalability, and event-driven architectures
• Solid understanding of observability and production operations, including monitoring, logging, tracing, and SLO-driven reliability (Datadog, OpenTelemetry)
• Experience improving developer experience through tooling, automation, and self-service infrastructure
• Proven experience driving cross-team platform or architectural improvements
• Understanding of cloud security fundamentals, including identity, access management, and secrets management
• Good understanding of infrastructure fundamentals (Linux, Windows, DNS, networking)
• Experience automating workflows using PowerShell, Bash, Python, or similar scripting languages
• Strong foundations in software design, clean architecture, and engineering best practices, with experience using Git in collaborative environments
• Familiarity with a range of data storage technologies (SQL, Elasticsearch, NoSQL) and their trade-offs
• Excellent communication skills and the ability to collaborate across distributed, international engineering teams
• A proactive approach to problem-solving with a self-starter mindset that adapts well to changing priorities
• Bachelor's degree in Computer Science or equivalent practical experience

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

Your Core Responsibilities: 

• Develop, execute, and scale profitable trading strategies across Chinese commodities markets (e.g., energy, precious metals, base metals).
• Trade futures and related derivatives on major Chinese exchanges (SHFE, DCE, ZCE, INE, GFEX) and relevant offshore venues.
• Integrate fundamental research, macroeconomic analysis, and geopolitical developments into trading decisions.
• Partner closely with the Commodities Analyst team to incorporate insights on supply/demand dynamics, inventory trends, shipping flows, regulatory developments, and government policy into actionable strategies.
• Identify and position around upcoming market catalysts, volatility events, and structural dislocations.
• Generate directional and volatility-driven trade ideas based on global and domestic Chinese market intelligence.
• Work alongside quantitative researchers and technologists to refine execution, enhance data-driven decision-making, and scale systematic components of strategies.
• Actively manage risk, including exposure to macro events, liquidity shifts, regulatory changes, and cross-border dynamics.
• Contribute to continuous improvement of research frameworks, dashboards, and trading tools in collaboration with the Analyst and technology teams.

Your Skills and Experience: 

• Proven track record trading Chinese and/or global commodities futures and derivatives with consistent risk-adjusted returns.
• Strong understanding of Chinese commodity markets, macroeconomic drivers, and geopolitical influences.
• Deep knowledge of Chinese exchange rules, margin frameworks, and regulatory environment.
• Demonstrated ability to translate fundamental and macro analysis into clear trading positioning.
• Experience collaborating with analysts, quantitative researchers, and developers in a data-driven trading environment.
• Strong risk management discipline and ability to trade around event-driven volatility.
• Familiarity with Python, SQL, Bloomberg, or other analytics platforms is advantageous.
• Ability to operate decisively in a fast-paced, competitive trading environment.

A Senior Merchant Risk Analyst is responsible for identifying, assessing, and mitigating financial and operational risks associated with merchant accounts in payment processing, fintech, or acquiring environments. This role sits at the intersection of underwriting, fraud prevention, compliance, and business enablement.

Responsibilities of the role

• Review and evaluate new merchant applications for risk exposure, including credit risk, fraud potential, and regulatory compliance 
• Conduct due diligence & enhanced due diligence on merchants, including business verification, ownership structure, and industry risk classification based on regulatory requirements
• Monitor existing merchant portfolios for unusual transaction patterns, chargeback trends, and signs of fraudulent activity 
• Analyze transaction data to detect fraud, illegal activities, money laundering indicators, or violations 
• Investigate and resolve chargeback disputes, fraud claims, and suspicious activity reports 
• Prepare risk reports and escalate high-risk cases to senior management to make informed onboarding decisions
• Collaborate with internal and external stakeholders to resolve issues related to the merchant 
• Stay current on regulation changes, card scheme rules (Visa, Mastercard) and industry best practices
• Driving process efficiency through an agile approach and strategic AI implementation
• Submit SMR with relevant regulators

About you

• Bachelor's degree in Finance, Business, Economics, or a related field 
• At least 8 years of experience within acquiring industry with strong knowledge on merchant risk, fraud operations, payments, or financial crime 
• Strong Understanding of AUSTRAC, Scheme Regulation & PCI-DSS frameworks 
• Exposure to high-risk merchant verticals (e.g., gaming, nutraceuticals, travel, CBD)
• Knowledge of chargeback management and dispute resolution processes
• Strong analytical and fraud investigative mindset 
• Attention to detail and ability to work under pressure 
• Clear written and verbal communication for documenting decisions 
• Sound judgment in ambiguous or time-sensitive situations 
• Ability to balance risk mitigation with merchant experience
• Proficiency in data analysis tools (Excel, SQL, or similar)

The AI Success Manager is a critical individual contributor role on our growing AI Success team to ensure Braze customers are highly successful with the product. In this capacity, you will collaborate closely with different teams, internally and externally, to drive renewals, upsells and expansions. You’ll oversee design and execution of Braze use cases, working closely with customers to identify future use cases, and own executive level relationships. You will also contribute significantly to the Braze product development process, and act as the voice of our customers. Finally, given the analytical nature of Braze’s product and use cases, you will conduct analysis of results and build compelling presentations to communicate customers insights, troubleshoot issues, and showcase Braze’s value proposition.

WHAT YOU'LL DO

• Support the Principal AI Success Manager to build meaningful relationships across our customers’ organization
• Work with implementation and data science teams to drive the success of AI use cases with our customers
• Work closely with the Braze sales team to drive renewals & upsell opportunities
• Develop deep understanding of customer business context and pain points to facilitate the strategic mapping of Braze value proposition
• Serve as strategic partners to guide our customers in maximizing business value from their use of Braze
• Conduct analyses (including using Excel, SQL) and provide data-driven presentations on Braze’s business impact, use case insights, and guide customers through troubleshooting
• Synthesize and communicate stories based on customer insights
• Communicate customer needs to Braze’s product & marketing teams to ensure a customer-centric product roadmap
  
  

WHO YOU ARE

• Be the face of the company, working alongside our customers to help them succeed.
• Lead the AI transformation happening in marketing technology today — Braze is at the forefront, so you’ll be in the middle of the action.
• Join Braze’s fast-paced, supportive, and professional team. We make sure all of our team members are empowered and receive great mentorship and coaching.
• Entrepreneurial: you take initiative, work around obstacles, and always seek creative ways to get to the next level
• People person: you build trust-based relationships with external partners, and combine empathy with a willingness to have direct, challenging conversations
• Analytically-driven: You are able to draw insights from raw data and perform analysis that is helpful and clear to customers
• Technology enthusiast: you are passionate about new technologies and their potential to impact business-as-usual
• Structured and organized: you can structure a plan, align stakeholders, and see it through to execution
• Clear communicator: you are able to express yourself clearly and persuasively, both in writing and speech
• Prior Strategy Consulting experience preferred. Familiarity with data science or machine learning is a strong plus.
• 20% travel to customers are expected

What you'll do:

• Own and ship a meaningful project, end-to-end. We believe strongly in ownership at The Trade Desk, and we are committed to you having something substantial to show for your time here that will make a positive Impact for the team   
• Receive close, one-on-one mentorship from an experienced software engineer   
• Collaborate with a globally connected team of engineers, Interns & other teams and departments in cities across the world   
• Work with new technologies across a wide spectrum of computer science, including distributed systems, petabyte-scale data processing, machine learning/AI, and UI/UX   

Who you are: 

You might be a great fit for a Software Engineer internship at The Trade Desk if:  

• You are fluent in one or more modern programming languages, eg, Javascript, Python, Java, PHP, C and C++, SQL
• Have a firm grasp on basic data structures and algorithmic techniques 
• You are comfortable working on an agile, distributed team spanning multiple time zones and continents.
• Capable of communicating effectively within a collaborative, complex, and highly technical team environment.
• You have experience of software projects.
• You are a quick and self-directed learner. We provide close support and mentorship, but you will have ownership over the design, plan, and implementation of what you build. 
• You value, seek out, and foster diversity. We are a global team from many diverse backgrounds, with different experiences and perspectives. To complement this team, you will welcome ideas that are different from your own and be skilled at finding and building from common ground.
• You are currently enrolled in a bachelor’s or master’s degree program in Computer Science, Software Engineering, or a similar technical major, from an Australian or New Zealand University.
• You are an Australian or New Zealand citizen, an Australian permanent resident, or have full working rights with supporting documentation
• Your graduation date is between May 2027 and March 2028.
• You must be available to begin a full-time position with The Trade Desk Australia if offered a return job opportunity.
• You can complete a 12-week internship at our Sydney office during Australia Summer 2026 (Tentative Start Date: 30 Nov 2026, Monday)

This is a right opportunity for you if you are looking for  

• Work at a Global Technology Company with a Mission: Be part of a company dedicated to making the Internet better for everyone—consumers, content owners, and marketers—by contributing to meaningful and impactful projects that transform how advertising is bought and sold.

• Innovate and Solve Unsolved Problems: Tackle challenges that don’t have predefined solutions, where you take ownership and are responsible for delivering impactful outcomes.

• Engage in Unique, Large-Scale Challenges: Work with cutting-edge technology on a platform that handles over 11 million requests per second, processing more queries than the combined searches on Google, tweets on Twitter, and snaps on Snapchat.

• Be Part of an Award-Winning Culture: Join a collaborative, trust-driven workplace that values empathy, collaboration, and ownership—a culture built to support your growth.

• Explore Future SWE Full Time Opportunities: Outstanding interns may have the chance to return to the same office and team for future SWE full-time position.

What and how you can contribute is what’s important to us. Our consideration is not limited by the kind of education you have or the specific technologies you have experience with. We care about having good people to pitch in. Our culture is creative, energetic, and collaborative. Those aren’t perks – those are just the way we do business.  

If this sounds like you, we welcome your application and invite you to find out why The Trade Desk was named a Best Medium Workplace by Great Place to Work® and FORTUNE as a Best Workplace for diversity and top technology companies. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Position Purpose: To be part of an existing team to create, maintain, support and improve upon existing internal production applications to speed up delivery of products to our customers. This will also include the implementation of new business rules and functionality the business deems required.

Key Responsibilities: 

• Develop technical solutions that help achieve business and customer goals. Be able to provide clear feedback to technical and project teams upon encountering technological limitations.
• Be part of the ongoing development and support of any new solutions, as well as existing legacy production processing systems to agreed estimates and schedules.
• A demonstrated focus on continuous improvement and process optimisation of new and existing systems.
• Work with project management to assist in work breakdowns and estimates as required.
• Ensure documentation is created and maintained with a view to enabling ongoing development support (and where possible improvement) as well as handing over ongoing processing to the existing production team.
• Ensure ongoing code quality, data quality checking, error reporting and correction occurs.

Essential Subject Skills and Experience:

• 2+ years of E2E In-depth Databricks experience on a real project(s) that have gone to production
• Databricks Genie, AI/BI Dashboards and Analytics reporting.
• Databricks pipelines, warehouse, jobs.
• Databricks Platform set up and admin, cost reduction.
• Databricks ELT, CDC, Streaming - general ETL and ELT and ETL/ELT scaling. Databricks Ingestion tools, e.g., SQL Server Connect
• Development of Databricks applications, ‘App’ and ‘One’ experience.
• Strong experience with Delta Lake, Lakehouse and Medallion architectures, Data architecture
• Meta data catalogs and data governance - Databricks Unity catalog.
• Strong data modelling/data expertise.
• Understanding of AI and Ml.
• General computing experience, AWS, S3, CI/CD, Git, SDLCs, Agile/Iterative.
• Excellent communication and time management skills
• Strong analytical and problem-solving skills
• Be flexible/adaptable and can embrace change

Desirable Skills and Experience:

• DB/Spark performance and optimization.
• Strong Apache Spark and pyspark - created Spark clusters, Spark (and Kafka) Streaming, Data pipelines/orchestration.
• Strong Python and Dash development experience.
• Advance SQL, with materialized views, Common Table Expressions.
• Statistics, Machine Learning, data mining, Experimental design.
• MLFlow, AI training/testing/evaluation and its orchestration.
• GenAI, LLMs, Prompt Engineering, RAG, Fine Tuning, Agents.
• AI ways of working, e.g. CRISP-DM, TDSP etc.

At The Trade Desk, we build technology that’s reshaping the future of digital advertising — with a mission to make the open internet better for everyone through principled, intelligent advertising.  

Handling over 1 trillion queries per day, our platform operates 24/7, across continents and data centers, processing petabytes of data to deliver meaningful insights and measurable outcomes.

Our engineers are true end-to-end owners — designing, building, and delivering high-impact, data-driven systems that power decisions for advertisers globally. We thrive in an environment built on trust, empathy, collaboration, and shared ownership, where everyone has the autonomy to make meaningful impact.

We believe great systems are built by teams that trust each other, value craftsmanship, and take ownership of what they create. 

ABOUT THE ROLE: 
 

The Measurement Upper Funnel engineering team is based in APAC, with members in Hong Kong, Shanghai, and Sydney. Our Product Manager is based in West Coast, and we have a 30 mins virtual standup every morning to sync up. We are a distributed team by design and rely heavily on technology such as asynchronous messaging and video conferencing to stay informed and connected.

We have a highly productive technology team that enjoy a collaborative work environment that has involvement in end-to-end delivery of scalable technology solutions. We have a mindset of build it, ship it, own it.  Our teams are empowered to use the best tools and technologies for the job. We have a multi-cloud environment and we are going towards the microservices architecture. 

We develop our client facing products utilising .Net/.Net Core, Javascript (React), gRPC, REST API’s, Docker containers and Kubernetes.  We developed our big data processing backend utilizing Apache Spark and Flink.

• As end-to-end owners, our engineers actively participate in every stage of product development — from design and implementation to deployment and monitoring — delivering real impact for our clients. We work across a broad and evolving technology landscape, including Docker, Kubernetes, Terraform, GitLab, Bamboo, SonarQube, AWS, Azure, Aliyun, Databricks, and databases such as SQL Server, Vertica, and ClickHouse.
• We continuously explore new technologies and AI-powered tools that make us smarter and more efficient, embracing pragmatic innovation as our projects evolve.
• Quality is core to everything we build. We emphasize code reviews, automated testing, robust deployment pipelines, metrics, and continuous monitoring to ensure reliability and maintainability at scale.
• Our engineers also make an impact beyond code — through mentorship, teaching, leading by example, and participating in hiring and community building — helping shape a team culture grounded in trust, learning, and excellence. 

Who We Are Looking For: 

Skills and experience 

• Proven skills and interest in programming (C#, Java, or equivalent)
• Proven skills in SQL to query data from databases.
• Understanding of designing web-based and microservices architecture
• Understanding of Agile development methodology and development practices
• Experience in cloud-based platform experience (AWS, Azure or Aliyun)
• Understanding of database technologies such as row-based vs column-based RDBMS, Document, Key-Value.
• Understanding of data analytics tools and frameworks such as Apache Spark or Databricks, and familiarity with Python-based data analysis (e.g. NumPy or Pandas) is preferred.
    

Key Attributes 

• What and how you can contribute is what's important to us. Our consideration is not limited by the kind of education you have or the specific technologies you have experience with. Variety of technical challenge is one of the best things about working at The Trade Desk as an engineer, but we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and solve complex problems using the best tools for the job. 
• You are a creative thinker, not bound by "the way things have always been done". You can distill facts and insights to guide your work, and turn data into actionable decisions. What you know is less important than how well you learn and innovate. We don't need engineers who know all the answers; we need engineers who can invent the answers no one has thought of yet, to the questions yet to be asked.  
   

What we Offer: 
 

You will also get the opportunity, depending on your interests and aptitude, to work on large-scale distributed systems coordinating thousands of servers in cloud and physical data centers around the world, petabyte-scale data challenges, machine learning, advanced visualizations, and interactive user interfaces. 

There are a ton of reasons why TTD is a great company to work for, but here are the top 6 that we think you'll find most interesting: 

• We are a globally collaborative environment. You will have the opportunity to work with brilliant & diverse teams from all over the world  
• We celebrate continuous learning at TTD – here you will have opportunities to be sponsored for further education, certifications and we also have an in-house learning platform to support your further development 
• Our culture - We have a wonderful team of brilliant high achievers built on a culture of empathy, grit, collaboration, & ownership. We are an award-winning company – we have won ‘Great Place to Work’ awards across Australia, US, UK, Europe and Asia! 

• We offer an attractive compensation package, a flexible work environment, and beautiful offices with all the perks you’d expect — from snacks and catered lunches to wine and beer. You’ll also enjoy competitive equity and an employee stock purchase plan. We promote an environment of reward and recognition – At TTD, you will be recognised for your efforts and for each anniversary at TTD, we will celebrate you, and reward you for your contribution! 
• We promote an inclusive and diverse environment – we have many events and activities that truly make TTD a ‘Great Place to Work’ and promote inclusivity and diversity across our organisation. 

At Sonder, we believe that every person deserves to feel safe, supported, and empowered to be at their best - wherever they are. That’s why we’re redefining workplace health, safety, and wellbeing through a seamless blend of technology and human expertise. Sonder’s mobile platform provides 24/7, real-time support from a dedicated team of safety, medical, and mental health professionals - ensuring that our members receive immediate care when they need it most. In critical situations, we go beyond digital support, offering on-the-ground assistance to manage time-sensitive incidents.

By harnessing real-time insights, we enable organisations to take proactive steps toward a healthier, safer future, which leads directly to tangible bottom-line business outcomes.

An Exciting Time to Join Sonder! 

Since our founding in 2017, Sonder has experienced rapid growth, expanding operations across Australia, New Zealand, and the UK. Backed by Australia’s leading venture capital firms, Seek and Blackbird, we are well-capitalised and on a mission to scale globally, partnering with corporations, educational institutions, and government agencies to transform workplace wellbeing at scale. Our impact and scale: 1,000,000+ members across multiple countries 200+ team members, plus an extensive network of on-the-ground responders If you’re passionate about using technology and human expertise to drive meaningful change, join us in shaping the future of workplace wellbeing!

About the Role

Our Customer Insights and Measurement team at Sonder is looking for a Full Stack Engineer to help us build the next generation of wellbeing intelligence. We are looking for a builder who wants to own the entire journey, from crafting the customer-facing experience and data models to architecting the AI-first, human-in-the-loop insights that power our platform.

At Sonder, "Health and Wellbeing" isn't just a benefit; it’s our product. You’ll be building the tools that measure human impact, helping us move from reactive support to proactive, data-driven actions.

You will own the end-to-end journey of turning raw data into intelligent insights. On any given week, you might be building React-based dashboards, optimizing Snowflake transformations, or architecting multi-agent workflows that help our customers "talk" to their safety data.

What You’ll Be Doing:

Full Stack Development

• End-to-End Ownership: Build and maintain features from the database schema and Snowflake models through to the React UI.
• API Architecture: Design robust back-end services (Python/Node.js) that support data ingestion and high-concurrency reporting.

AI & Agentic Systems

• Agentic Workflows: Design and ship autonomous AI workflows using frameworks like LangGraph, CrewAI, or native tool-use patterns.
• RAG & Context Engineering: Build and optimize RAG pipelines, focusing on retrieval quality, chunking strategies, and metadata filtering.
• MCP Integration: Build and deploy Model Context Protocol (MCP) servers to bridge the gap between our internal data silos and LLM reasoning engines.
• AI Observability: Implement evaluation frameworks (e.g., LangSmith, Arize Phoenix) to monitor "vibe checks," latency, and cost in production.

Data Pipelines & Reporting

• Snowflake Mastery: Design and optimize tables and views that power customer-facing dashboards.
• Insight Automation: Use LLMs to automate the synthesis of complex safety data into actionable executive summaries.

What You will Bring

Must-Have:

• The "Builder" DNA: You are a heavy user of AI-assisted coding tools (Cursor, ClaudeCode, or Copilot) and have moved past the "experimental" phase into shipping production AI.
• Full Stack Fluency: Deep experience in React/Next.js and Python (preferred for AI) or Node.js.
• Data Engineering Literacy: Strong SQL skills and experience with data warehousing (Snowflake strongly preferred).
• Agentic Experience: You understand the difference between a basic prompt and a multi-step agentic loop involving tool-calling and structured outputs.
• Production Mindset: You know that "it worked on my machine" isn't enough; you care about LLM evaluation, prompt versioning, and error handling.

Nice-to-Have:

• Experience with vector databases (Pinecone, pgvector) and embedding-based search.
• Experience with dbt for data transformation.
• Familiarity with LangChain/LangGraph or other orchestration frameworks.
• A portfolio of "AI-first" side projects or contributions to open-source AI tools.
  
  

Why Join Sonder?

• Hybrid and flexible working – strike the right balance for your life and productivity
• Free Sonder app access for you and your family – 24/7 health, safety and wellbeing support
• 2 days study leave
• Paid parental leave – 12 weeks for primary carers and 4 weeks for secondary carers, with a supportive return-to-work program
• Employee Share Option Plan (ESOP) – share in Sonder’s success
• Wellbeing fund – $250 per year to spend your way
• Novated leasing and salary packaging options
• Weekly team perks – free coffee Tuesdays, catered lunch Thursdays, and a dog-friendly office
• Volunteer leave – 2 days per year to support causes that matter to you
• Regular social events and team bonding opportunities

Sonder is for Everyone

We’re committed to building a diverse and inclusive workplace. We encourage applications from people of all backgrounds, experiences, abilities and identities. If you need any support with your application or the recruitment process, please reach out – we’d love to hear from you.

Due to the nature of our industry, all Sonder employees are required to complete a National Police Check and Working With Children Check.

The Appian Solution Engineering team provides technical expertise to our customers around the globe, touching every layer of the Appian platform.  From data analysis to creative problem solving, our Solution Engineers tackle the most challenging technical problems encountered by Appian customers and partners. 

Looking for a position that allows you to engage all of your many technical talents? Do you particularly excel at not only solving complex technical problems, but also at communicating the solution clearly and effectively? As an Associate Solution Engineer, you’re a technical “Jack/Jill of All Trades”; you love figuring out “how things work”, and you’ll be a resident expert on the inner workings of the Appian platform.

To be successful in this role, you need
- To provide exceptional customer interaction (verbal/written) to our biggest customers
- Excellent problem solving and a talent for identifying creative solutions
- A desire to work closely with our customers to help lead continual improvement in the availability, performance, functionality and security of our platform
- Interest in data analytics
- Flexibility to provide after business hours support (rotation every 10-15 weeks)

Some of the tools and resources we will equip you with include
- We’ll immerse you into our community rooted in respect starting on day one. Our community is strong and growing! Our Affinity groups are a great place to start connecting with peers from all across the globe
- Appian offers a wide variety of growth and development opportunities such as: our in-house Appian MBA program for new managers, Appian University which is a full library of over 3,000 LinkedIn Learning and Udemy courses, Presentation Skills training, and tuition reimbursement for those seeking to further their education

Basic Qualifications

• Bachelor's degree in any Engineering discipline, Information Technology, Computer Science, or similar degree program
• History of academic success (Distinction average required, i.e. WAM 75+)
• Provide after business hours support for proper handoff with our other regions as needed
• Flexibility to provide after hours weekend support for up to 14 weeks per year - Up to 1 quarter per year working this adjusted schedule may be required (Sunday->Thursday or Tuesday-Saturday)
• Bilingual in Japanese and English

Nice-to-Have Experience

• Programming / scripting (e.g. Java, Perl, Ruby, C#, PHP)
• RDBMS platforms (e.g. MySql, Oracle, SQL Server)
• Systems administration (e.g. Linux, Windows)

This role is based at Level 42/25 Martin Pl, Sydney NSW 2000, Australia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian.

The goal of our Platform Engineering team is to make it easy for our service teams to build and run production systems. As an experienced engineer in Platform Engineering, you will be helping re-architect our platform to run on public, private, and hybrid clouds and to allow for frequent, predictable and high impact changes. You will ensure that our world-class infrastructure is always available, responsive, and capable of meeting the diverse needs of our customers.

As part of the team, you will be responsible for leading a small team whilst still being super technical and hands on, building the cloud infrastructure that powers the Appian platform. This isn’t your average software developer role. On the Platform Engineering team, you’ll learn about a wide range of technologies and tackle new challenges as you add features and functionality to the Appian cloud infrastructure.

Right now this role is focused on building features that enable network connectivity between our platform and external networks. This will likely change and evolve over time, so this will give you an idea of the type of work you will be doing when you start.

To be successful in this role, you need:

• The ability to leverage knowledge of data structures, algorithms, and design patterns to write software in a cloud infrastructure environment, using tools such as: Python, Go, Java, Terraform, Pulumi, CI/CD pipelines, RDBMS, No-SQL DBs, etc.
• Solid knowledge of AWS services like: EKS, EC2, Lambda, DynamoDB, VPC networking, and S3 (or equivalent cloud provider experience)
• Familiarity with networking and security best practices in the cloud
• Experience providing technical leadership to drive pragmatic solutions and dive into impactful design decisions
• Experience coaching junior and senior engineers while championing best practices across your team
• Fluency in reviewing architecture / designs from team members, identify problems, and make suggestions for better practices
• Experience with conducting code reviews looking out for the elegant approach, performance, maintainability, and security
• Ability to identify dependencies between multiple teams. Ability to communicate blockers and escalate as needed
• Experience operating business-critical production services
• Experience automating the creation and configuration of cloud resources and services on-demand
• Interest in automating every aspect of our development lifecycle and help us in our mission to achieve continuous delivery
• Share advanced/expert knowledge with others in the department, both on and off team; maintain a reputation as a key resource in those areas
• Lead technological changes to keep the platform modern

Some of the tools and resources we will equip you with include:

• Dedicated learning time to become an expert in technologies like Kubernetes, AWS, Docker, and Linux networking
• Opportunities for growth and leadership
• Engineering Indie Time (dedicated time to build whatever you want) and annual hackathons - we value activities that inspire others and get creativity flowing!

Basic Qualifications:

• 10-15+ years experience designing, building and architecting software in an enterprise software or SaaS/PaaS environment
• Some leadership experience (managing and mentoring a small team of Junior Developers)
• Advanced knowledge of at least one programming language and comfortable working with Object-Oriented programming concepts
• Outstanding hands on development experience in Terraform, Java, Go, Python
• Experience driving projects to impact
• Experience working in a Linux environment
• Excellent spoken and written communication
• Bachelors in Computer Science or Engineering, or equivalent experience