Who we are:

We're Dexibit. We love dinosaurs and data. Our Kiwi AI product helps visitor attractions (museums to zoos to theme parks) make sense of their data and make better decisions. We work with big international names alongside local favourites like MOTAT and Weta. We’ve been widely recognised in industry and picked up a few awards along the way from HiTech, NZIBA, TIN and more. 

Dexibit recently joined accesso, a global technology company serving over 1,000 venues across 30+ countries. That means our platform, our reach, and the complexity of the problems we get to solve just got a lot bigger. 

What we build :

Dexibit brings together our deep domain knowledge, AI-ready data platform, served through an agentic interface. We create value for our customers by addressing non-trivial tasks like strategic modelling, scheduling, operational reporting and analysing visitor feedback. 

Under the hood, the AI layer orchestrates real business logic and APIs: integration packs, custom datasets and benchmarks, context control features, and our query and visualisation infrastructure. 

The agentic interface is where we're investing new feature development. Think streaming, context window management, tool orchestration, sandboxed execution. There's real depth here, and real problems to solve. 

Where you fit :

We're looking for a product-minded software engineer who can shape what we build and how we build it. You'll be in the code every day. But we value engineers who lead naturally: through design decisions, technical direction, mentorship, and bringing the team along. 

You're full-stack, but you lean heavily to one side, whether that's backend data systems or frontend product engineering. With the depth of our problems (and the leverage that frontier LLMs now give us), we believe strong engineers need real depth on one side while being capable and willing to contribute across the stack. 

What you bring :

You break complex problems into simple, elegant solutions. You're a great communicator with strong customer empathy. You're quick to understand the why behind the work. 

You're a proven engineer (5+ years) with experience across different systems and domains. You've shipped impactful work and can talk honestly about the failures as well as the wins. 

You bring curiosity and humility. You mentor naturally. You're not afraid to give constructive feedback, and you genuinely enjoy learning from others' perspectives. 

Our tech stack :

• Languages we use: English, TypeScript, Java, Python, SQL 

• Data systems: PostgreSQL, DuckDB, Databricks, OLTP/OLAP 

• Platforms: cloud native on AWS (with Ansible + CDK), Datadog, Modal, LangFuse 

• AI/LLM: OpenAI/Anthropic models, Pydantic, AI SDK, LangChain4J, XGBoost, Prophet 

• UI: React, Jotai/Redux Toolkit, BFF, data viz, possibly WASM in the future 

• Systems: mix of serverless, services, and monolith 

• Way of working: cycles, communication over process 

• Dev tooling: Claude Code, Codex. We build AI, and we build with AI 

Details :

• Auckland-based, hybrid (3 days in-office / 2 at home) 

• We're open on level. Whether you're a strong senior engineer or someone with 15 years under your belt, we'll meet you where you're at in terms of title and compensation. 

Even if you can't tick every box, we still encourage you to apply. Dexibit recognises all our team as diverse and unique individuals. 

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

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

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

Overview

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What we offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

The Role:

It’s an exciting time for Ping Identity in New Zealand. Off the back of recent growth you will be the first Sales Engineer on the ground further accelerating adoption of Ping Identity solutions in the country. With the support of an exceptional  Sales Engineering team in Australia and Singapore, you will shape the face of this role.

This role offers the chance to showcase your technical and consultative skills, engaging with stakeholders of various roles and levels to understand and meet their technical requirements with cutting-edge solutions. Your expertise in Identity and Access Management (IAM) technologies will be key in delivering impactful solutions that align with customer business goals.

You will also be instrumental in strengthening partner relationships across ANZ. You will work alongside a highly effective partner team on engaging and interactive customer oriented meetings, demonstrations, and proofs of concept that articulate the business and technical value customers will receive from a Ping Identity solution. You will be an active member of a team that empowers personal, team, and partner success.  This role will be a key contributor to our overall sales and business development strategy as we look to continue maturing our partner network that will ensure sustained growth across the region as well as seeking to build out our partner capability in a number of other developing markets.

Responsibilities:

• Deliver pre-sales activities including solution demonstrations, presentations, technical guidance, proof of concepts, and RfX responses.
• Act as the go-to technical expert on Ping Identity solutions for customers, partners, and internal teams.
• Establish enduring relationships with customers and become their trusted advisor
• Collaborate with the sales team to deliver revenue. Emphasis during key sales cycle phases of Qualification, Discovery, and Technical Proof Phase 
• Coordinate, throughout sales cycle, pre-sales efforts with a post-sales service delivery team
• Leading customer-facing meetings, both through videoconferencing and in-person to, deliver presentations, whiteboarding sessions, and demonstrations of Ping Identity solutions and their value remotely, in-person, and at industry events
• Provide insightful feedback on product enhancements and customer needs to product owners.
• Mentoring, both formally and informally, junior team members
• Develop subject matter expert-level knowledge of at least one of Ping Identity's solutions and serve as an expert resource to other Sales Engineers within the organization
• Foster close relationships with delivery partners to support the technical sales relationship and build a mutual beneficial plan of success for delivering Ping Identity solutions.
• Support partner teams to understand and deliver enablement to drive and business goals
• Provide pre-sales technical guidance to partners, i.e., product demonstrations, proof of concept for proposed solutions, and/or technical workshops
• Able to travel 15% to 40% as needed

Required Skills & Qualifications:

• Bachelor’s degree in computer science or equivalent field, or 5+ years' experience with enterprise-level software systems in a customer-facing role, such as pre-sales, consulting, support, or training
• Deep knowledge of standard identity protocols: SAML, WS-Fed, OAuth, OIDC, and SCIM as well as experience with REST interfaces
• Deep knowledge of technologies that underly identity solutions: LDAP (including Active Directory), SSL/TLS, PKI, RADIUS, SQL, DNS, JDBC
• Experience with one or more modern programming languages and web technologies: JavaScript, Python, Node.js, HTTP, HTML, CSS, JSON, Java.
• Expertise in developing and delivering effective technical presentations, workshops, customized demonstrations, and proof of concepts
• Strong communication and customer service skills.
• Adept at linking technical capabilities to customer needs.
• Ability to work with a high level of self-direction and/or collaboratively with team and customers
• Knowledge of a subset of the following IAM concepts: Authentication / Authorization / Federation / Single Sign-On / User Lifecycle Management / Provisioning / Governance / Workflow / 
• Eagerness to learn; expertise in specific business areas or industry verticals is a bonus.
• Familiarity with infrastructure, networking technologies, and cloud service providers.

Ideal Candidate Skills:

• Installation and/or configuration of one or more IAM technologies from Ping, Okta, Auth0, Sailpoint, CA, Oracle or similar
• Experience with several types of web applications servers and operating systems: Windows, Mac, RedHat, Ubuntu, Apache, Nginx, Tomcat
• Experience with DevOps processes and platforms such as GitHub, Terraform, Kubernetes, and Helm, as well as deployment in major cloud environments (AWS, Microsoft Azure, Google Cloud Platform)
• Successful delivery of a SaaS-based IAM solution
• Experience in Ping multi-tenant SaaS solutions: PingOne SSO, PingID, PingOne MFA, PingOne Verify, PingOne Protect, PingOne Authorize, and DaVinci

Position Overview:

We're accesso Intelligence (powered by Dexibit). 🦖 🎢 🐅 🗼 🖼️ 🎡 🏟️

accesso Intelligence is the intelligence layer for the business of fun — serving iconic visitor attractions around the world. Not just data, but AI that understands how attractions actually work, helping teams make insightful decisions then act on them: getting more visitors through the door, spending, engaging, leaving happily and returning loyally, with efficiency.

With 25 years of deep industry experience behind us and Dexibit's AI pedigree inside us, you get the best of both worlds: startup culture close to the ground up, with the scale of a listed company behind you.

What we build:

accesso Intelligence sits on top of the world's richest cross-vendor dataset for visitor attractions — integrating with 100+ industry source systems across ticketing, F&B, retail, queuing, CRM, operations and more. That data foundation is what makes everything else possible: the conversational insight, the forecasting, the benchmarking, the AI.

Where you fit:

We're looking for a Data Implementation Engineer to own the technical delivery of accesso Intelligence integrations, then executing that pattern reliably and at volume across our customer base. You’ll be building upon, and maintaining, our class-leading data platform.

What makes this role distinct is the combination of technical execution with genuine understanding of how attractions actually operate commercially. A revenue share arrangement between a venue and an operating partner, a multi-operator ticketing setup, a seasonal membership model with complex redemption logic — these aren't edge cases, they're the norm. Getting the data right means understanding the business behind it.

Location: Auckland based, hybrid (~3 days in our Parnell office / optionally ~2 at home)

Reports to: VP, accesso Intelligence

Travel ✈️ Requirement: None

What you'll be working on:

• Establish the integration patterns. Work with the data engineering team to define how accesso Intelligence connects to each accesso product. Data model, transformation logic, semantic mapping, quality thresholds. This is foundational work you'll do once per product (and refine over time) rather than reinvent per customer.
• Scale and maintain across customers. Onboard new customers onto each integration — configuring per venue, validating data integrity against our acceptance criteria. Then own the ongoing health: change requests, configuration updates, and diagnosis when something breaks or drifts.
• Build derived datasets and transformations. Beyond raw integration, you'll help build the derived datasets, transformations and semantic mapping that turn source data into meaningful, analytics-ready inputs — the layer between what a system outputs and what accesso Intelligence needs to deliver insight.
• Close the feedback loop into accesso. You'll be the eyes and ears of integration reality. We all want to find the global optima. Sometimes that means feedback into the product and engineering teams to shine a light on opportunities and future use cases.
• Work directly with customers on data. You'll engage with customer technical and operational contacts through onboarding and beyond — handling data queries, managing expectations on timelines and data quality, and translating between what customers have and what the platform needs.

What you bring to the role:

• You're fluent in Python and SQL, comfortable with data platforms and transformation tools, and have experience building and maintaining integrations with APIs and third-party systems. Our stack runs on DuckDB and MotherDuck — you don't need prior experience with them, but you should be the kind of person who finds that interesting rather than a detour from the tools you'd rather be using.
• You know data doesn't exist in a vacuum. You build a working mental model of how operators actually run: their business rules, revenue arrangements, data quirks and organisational structure. Not just their schema.
• You're pattern-minded. You find the repeatable approach, document it, and execute at volume — without letting consistency become rigidity when a customer's situation genuinely requires something different.
• You're customer-oriented without losing your technical edge. You can sit on a call with a customer's data team, translate their needs into integration requirements, and communicate clearly about what's possible and when.
• You care about data quality like it's personal. Acceptance criteria, integrity checks, derived logic — you hold the line on what good looks like, because you know the difference between a quick fix and the right one.

How you got here:

There's no single path to this role, especially in the age of AI. You might be:

• A data or software engineer who's done integration or implementation work and wants a role where you can see the direct impact of your work on real customer outcomes

• Someone from a SaaS implementation or solutions engineering background who has strong data fundamentals and wants to go deeper technically

• A data analyst or BI engineer who's crossed over into pipeline and integration work and thrives at the intersection of technical delivery and customer context

• Someone from the attractions, hospitality or cultural sector who's worked closely with data systems and wants to turn operational knowledge into implementation expertise

FEQ327R93

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

The impact you will have: 

• Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Become a Big Data Analytics advisor on aspects of architecture and design.
• Support your customers by authoring reference architectures, how-tos, and demo applications.
• Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

What we look for:

• Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
• Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.
• Code in a core programming language such as Python, Java, or Scala.
• Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
• Experience diving deeper into solution architecture and design.

CSQ327R17

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

Who we are:

We're Dexibit. We love dinosaurs and data. Our Kiwi AI product helps visitor attractions (museums to zoos to theme parks) make sense of their data and make better decisions. We work with big international names alongside local favourites like MOTAT and Weta. We’ve been widely recognised in industry and picked up a few awards along the way from HiTech, NZIBA, TIN and more. 

Dexibit recently joined accesso, a global technology company serving over 1,000 venues across 30+ countries. That means our platform, our reach, and the complexity of the problems we get to solve just got a lot bigger. 

What we build :

Dexibit brings together our deep domain knowledge, AI-ready data platform, served through an agentic interface. We create value for our customers by addressing non-trivial tasks like strategic modelling, scheduling, operational reporting and analysing visitor feedback. 

Under the hood, the AI layer orchestrates real business logic and APIs: integration packs, custom datasets and benchmarks, context control features, and our query and visualisation infrastructure. 

The agentic interface is where we're investing new feature development. Think streaming, context window management, tool orchestration, sandboxed execution. There's real depth here, and real problems to solve. 

Where you fit :

We're looking for a product-minded software engineer who can shape what we build and how we build it. You'll be in the code every day. But we value engineers who lead naturally: through design decisions, technical direction, mentorship, and bringing the team along. 

You're full-stack, but you lean heavily to one side, whether that's backend data systems or frontend product engineering. With the depth of our problems (and the leverage that frontier LLMs now give us), we believe strong engineers need real depth on one side while being capable and willing to contribute across the stack. 

What you bring :

You break complex problems into simple, elegant solutions. You're a great communicator with strong customer empathy. You're quick to understand the why behind the work. 

You're a proven engineer (5+ years) with experience across different systems and domains. You've shipped impactful work and can talk honestly about the failures as well as the wins. 

You bring curiosity and humility. You mentor naturally. You're not afraid to give constructive feedback, and you genuinely enjoy learning from others' perspectives. 

Our tech stack :

• Languages we use: English, TypeScript, Java, Python, SQL 

• Data systems: PostgreSQL, DuckDB, Databricks, OLTP/OLAP 

• Platforms: cloud native on AWS (with Ansible + CDK), Datadog, Modal, LangFuse 

• AI/LLM: OpenAI/Anthropic models, Pydantic, AI SDK, LangChain4J, XGBoost, Prophet 

• UI: React, Jotai/Redux Toolkit, BFF, data viz, possibly WASM in the future 

• Systems: mix of serverless, services, and monolith 

• Way of working: cycles, communication over process 

• Dev tooling: Claude Code, Codex. We build AI, and we build with AI 

Details :

• Auckland-based, hybrid (3 days in-office / 2 at home) 

• We're open on level. Whether you're a strong senior engineer or someone with 15 years under your belt, we'll meet you where you're at in terms of title and compensation. 

Even if you can't tick every box, we still encourage you to apply. Dexibit recognises all our team as diverse and unique individuals. 

About Us

Pushpay is a high-growth Kiwi founded SaaS business that is spread between offices in the United States and Auckland, NZ. We help organizations and communities come together and stay connected through our suite of mobile apps, management software and giving technology. Our teams of Software Engineers, SRE’s, QA's, UX and Product Managers work closely together to deliver value to our customers as the leading provider of mobile apps and giving technology to churches, schools, and nonprofits.

Benefits

We have a passion for making all employees feel supported. In addition to having a genuine interest in helping you do your best work and drive your career, we offer:

• • Training: $3,000 annual training/conference allowance for your personal development
  • Family Oriented: As our Pushpay family grows, we understand yours may too. Our paid parental leave policy offers primary & secondary caregiver leave, and we also have no leave override for those returning to work after parental leave, meaning you'll be paid at your full rate for annual holidays. 
  • Hybrid Work Model: We aim to offer a healthy work/life balance with flexible hours and the option to work from home 2 days a week
  • Sick Leave: You'll automatically start accruing this upon starting - no 6 month wait period. 
  • Volunteer Time Off: 16 hours paid VTO per year, so you can give back to causes most meaningful to you
  • Advanced gear
  • Unlimited snacks, drinks and coffee!
  • Employee Assistance Program (EAP)
  • Free annual flu shots
  • Fun social events throughout the year, and Friday in-office happy hour

Role and Responsibilities

Delivering business value by designing and developing high-quality software and systems in a highly collaborative environment. Raising the quality, and velocity of other team members.

Reports to

Engineering Manager or Senior Engineering Manager

Main activities

• Review and debug code, systems and infrastructure
• Perform validation and verification testing
• Understand and exhibit the company's core values (Values.pdf)
• Communicate progress, blockers and risks
• Develop tools and automation by producing clean, efficient code

• Maintain systems via a mix of manual and automated techniques
• Participate in on-call support of the Pushpay products, if on the on-call roster
• Review system generated events and alerts and industry sources for operational issues and security concerns

• Produce value to the business by regularly shipping robust, high quality features into the production environment
• Identify problems and risks in your own work, and that of others. Suggest improvements to design and approach
• Be aware of, and contribute to refining, the engineering "lore and custom" (aka. culture, policies, and procedures)
• Identify, prioritize and execute tasks in the software development life cycle
• Actively improve operability of systems and operational awareness of teams
• Take the initiative to identify and/or fix issues before being assigned them
• Recruit new Engineers (sales pitch, technical screens)
• Contribute to SRE Operability and Architecture Reviews with other engineering teams
• Be highly aware of the profound security and compliance ramifications of the nature of our business (specifically our PCI compliance requirements)
• Develop high-quality system design and architecture
• Break down larger pieces of work into small, well-scoped pieces for other team members
• Take end-to-end responsibility on features of increasing complexity
• Spend time making sure junior or new engineers unfamiliar with the tech or processes we have understand what they are doing and why they are doing it
• Work with Software Engineers, Quality Assistance, Product and other parts of the business to review requirements and proposed solutions and provide input into these processes (which may include ideation, algorithms, processes and feature design) which may constitute intellectual property that belongs to Pushpay
• Develop software and tooling (code, algorithms, designs, processes and practices) that will be incorporated into Pushpay products (both internal and external) and associated infrastructure which may constitute intellectual property that belongs to Pushpay

Key skills

• Passionate developer of scalable, secure software and systems.
• Fastidious architect dedicated to building and maintaining reliable infrastructure.
• Proactive researcher of industry trends, consistently integrating new technologies and ideas.
• Commercially astute professional with high proficiency in:
• Cloud Platforms: AWS, GCP, Azure
• Infrastructure as Code: Terraform, Cloudformation
• Command Line Environments: Shell, PowerShell, Bash
• Database Management: Relational and document-based systems
• Web Technologies: HTTP, SSL/TLS, REST APIs, and GraphQL
• Programming Languages: Python, Go, Rust, JavaScript, and .NET
• Version Control: DVCS (preferably Git)
• CI/CD Tooling: GitHub Actions and Jenkins
• Project Management: Bug tracking systems such as Jira
• Capable architect of complex, end-to-end software solutions.
• Excellent communicator, proficient in both written and verbal technical documentation.
• Self-managed professional with strong time management and expectation-setting skills.
• Collaborative teammate, generous with knowledge-sharing and mentorship.
• Strategic thinker able to articulate work in both technical and business-impact terms.

Internal contacts

Site Reliability Engineering Team Members, Tech Lead, Engineering Team Members, Delivery Manager, Engineering Managers, Product Managers, QA, On-Call team, IT, Product Marketing, Data Team, Customer Care Team.

External contacts

Conferences, User Groups, Service Providers and Partners, Integration Partners.

Typical experience

• 5+ years of relevant SRE, systems or software engineering experience; “relevant” being: Developing Internet-scale multi-user web/mobile/cloud type software products
• Applicable tertiary qualifications

Please note: To be considered for this vacancy you must either currently reside in New Zealand, or if currently off-shore, be a New Zealand citizen, permanent resident or resident with valid travel conditions.