The Role

As a Solutions Engineer at Rhombus Power, you are a hands-on software generalist embedded directly with our national security partners. Much like the pioneering Forward Deployed roles in our industry, you will be the technical expert at the intersection of world-changing problems and impactful AI technology. You will rapidly understand our customers' toughest operational challenges and architect, build, and deploy custom solutions that leverage the Rhombus Power platform. This role is a mix of development and customer support, requiring you to be comfortable writing code (DevOps, frontend, and backend) while acting as the primary technical consultant.

Responsibilities

• Work side-by-side with intelligence partners to deeply understand their missions, data workflows, and requirements for predictive insights.
• Design, develop, and deploy tailored software solutions and applications utilizing the Rhombus Power AI platform.
• Be a true software generalist, writing, testing, and maintaining production-grade code across the full stack—including cloud/DevOps configuration, backend data services, and interactive frontend user interfaces.
• Provide technical consultation to partners, guiding them on the best use of our products to achieve their strategic business and mission goals.
• Serve as the technical liaison, ensuring seamless communication between customer teams and Rhombus Power's core product engineering teams to influence product direction.
• Troubleshoot complex issues in live operational environments, providing expert technical support and guidance to maintain mission continuity.
• Travel to customer sites for deployment, integration, and operational support.

Qualifications

• 2–3 years of professional experience in a relevant technical role (e.g., Software Engineering, Technical Consulting, or Data Engineering).
• Demonstrated experience as a software generalist, capable of contributing across the technology stack (DevOps, frontend, and backend).
• Proven experience in a customer-facing capacity, including requirement gathering, solution presentations, or technical support.
• Proficiency in at least one modern programming language (e.g., Python, JavaScript, Go).
• Experience with Linux/Unix systems and system administration a plus
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

About the role

In this role you will help to lead a team to develop the Netskope AI Gateway, our industry-leading platform that empowers global enterprises to securely unlock the transformative power of Generative AI. You will conduct technical research, collaborate with other internal engineering and product management teams to design, develop and integrate innovative security capabilities into our platform. Join us to drive the next frontier in AI/LLM security ensuring robust defense against emerging threats.

What you will be doing

• Design, architect and develop high performance, scalable cloud based security systems to detect and mitigate attacks on generative AI applications and LLMs
• Define and drive best practices around scalable microservices, distributed systems, APIs and secure data flows
• Lead and inspire a world-class engineering organization, fostering a culture of innovation, collaboration and continuous improvements
• Partner with product management to understand customer requirements, lead the team and collaborate with other engineering teams to design and implement high-quality solutions
• Perform architectural reviews, code reviews and mentor junior engineers
• Stay abreast of emerging GenAI and cybersecurity technologies and proactively propose innovative solutions

Required skills and experience

• 10 to 12+ years of experience in software engineering, with 5+ years in architectural or technical leadership role
• Deep expertise in backend engineering using Golang, Python, C++ or Java
• Proven experience designing large-scale, secure and cloud-native systems
• Hands-on experience with Docker and Kubernetes, specifically debugging workloads, networking, and storage in on-prem or hybrid environments
• Excellent communication skills, be able to collaborate, influence and lead
• Willingness to work with a globally distributed team in different time zones
• Startup experience in a fast paced environment is a plus

Education

• BS in Computer Science or equivalent required; MS strongly preferred.

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The role of a Silicon Alliances Ecosystem Development Manager at Canonical

Ubuntu is the fastest growing enterprise Linux, the leading platform for public cloud computing, and the engineer's favorite way to drive the future. 

Our goal is to help the enterprise embrace open source from end to end, across every class of compute and every class of application, starting with the linux kernel itself, to infrastructure solutions like OpenStack and Kubernetes, all the way up to data, security, analytics and serverless capabilities. 

The Silicon Alliances Team works with the leading semiconductor companies  to combine open source adoption with innovative optimizations to get the most from each new chip. With our semiconductor partners, we develop joint product roadmaps, drive delivery, formulate go-to-market plans and conceptualize new business models, enabling differentiated hardware and robust product life-cycle support while still anchored to best-in-class Ubuntu. The end goal is a frictionless experience to deploy, maintain, and develop on any hardware from cloud to edge. 

The successful candidate is someone who is passionate about both hardware and software technology with interest to grow into business development.  We are hiring for positions across early career to senior roles, with scope ranging from small exploratory partnerships to managing our largest and most strategic partnerships.

If you are someone who can navigate complex new technical challenges, learn quickly, and architect solutions and strategies across global teams, this challenging role is for you.

Location:  We are for hybrid work; mix of on-site in our Taipei office and remote from home.   Global travel to sprints, events, and partner meetings is part of the role.

What your day will look like 

• Represent Canonical, its solutions and software to partners.
• Develop a deep understanding of silicon partner strategies, technologies and roadmaps and identify overlap with Canonical’s current and future products.
• Work cross-functionally with engineering, product, marketing and sales teams to facilitate new business, leading definition of joint products, solutions and complex programs relying heavily on your communicating and influencing skills.   
• Ensure that robust project plans are created, tracked, and executed. 
• Develop joint Go To Market strategy and campaigns with silicon partners, manage market messaging, collateral and launch plans across products.
• Negotiate successful contracts.

What we are looking for in you

• B.A / B.S / B.E degree in science, technology and/or engineering.
• Fundamental understanding of the semiconductor industry and ecosystem.
• Experience in software and system architecture is preferred.
• Customer-facing experience in business development, technology strategy or similar functions.
• Excellent communication skills; ability to grasp complex material and synthesize key points.
• Ability to think and work at both strategic and tactical levels
• Disciplined and self motivated for a remote-first workplace environment.

Additional skills that you might also bring

• Experience with open source software and open source business models is preferred.
• Team leadership or program management experience.

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.  

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.

• Fully remote working environment - we’ve been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at ‘sprints’
• Priority Pass for travel and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

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About Appier 

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the role

Appier's Playable Ads team (https://www.appier.com/en/blog/what-is-playable-ads)  builds AI-powered playable and video ad experiences that drive dramatically higher engagement and conversion for the world's leading apps and games. We're looking for a Senior Backend Developer with deep expertise in distributed systems and modern backend architecture to design and build the scalable, high-performance services behind these experiences — from creative generation pipelines to the infrastructure that brings our ML models to production. You'll work across microservices, messaging systems, data persistence layers, and system performance optimization, while partnering with ML scientists on MLOps workflows to continuously ship and serve new model versions to end users. You'll also collaborate closely with frontend engineers and product managers to deliver seamless, cross-functional outcomes.

If you're passionate about building backend systems that operate at scale, thrive in cross-functional teams, and want your code to directly power AI-driven ad experiences reaching millions of users, we'd love to talk.

What You'll Work On

• Architect and develop robust, scalable backend services and APIs using ASP.NET Core, owning sizable projects from system design through production operation.
• Design efficient database schemas and optimize data access logic across SQL and NoSQL data stores.
• Implement message-driven communication with high reliability and fault tolerance.
• Partner with ML scientists to build and maintain MLOps pipelines — including model versioning, deployment, serving, and monitoring — ensuring new models are reliably delivered to production.
• Lead system designs, drive technical roadmap decisions, and provide guidance to team members.
• Proactively identify performance bottlenecks, profile critical components, and implement scalable solutions.
• Own and continuously improve system observability, incident management, CI/CD pipelines, and deployment workflows.
• Explore and integrate AI-assisted development tools and emerging technologies to boost team productivity.
• Participate in on-call rotation to ensure product reliability and scalability.

What We're Looking For 

[Minimum qualifications]

• Proficiency in C# and ASP.NET Core, or experience with other object-oriented languages (e.g., Java, Go) with willingness to cross-train in the .NET stack.
• Proven experience in distributed systems, microservice architectures, and designing scalable backend systems.
• Strong expertise in PostgreSQL, MongoDB, or equivalent SQL/NoSQL databases, with hands-on experience in ORM frameworks such as Entity Framework Core.
• Advanced knowledge of message broker systems such as RabbitMQ, Kafka, or NATS.
• In-depth understanding of IO-bound operations, threading, parallelism, and asynchronous programming.
• Practical experience with Docker, container-based deployment workflows, and cloud platforms (AWS, GCP, or Azure).
• Hands-on experience with CI/CD pipelines, observability tooling, and production operational practices.
• Demonstrated ability to write clean, well-documented code and solve complex problems analytically.
• Clear communicator who can explain technical decisions to both technical and non-technical stakeholders and enjoys working in a fast-paced, collaborative environment.
• Proficient in using LLM-powered development tools (e.g., GitHub Copilot, Cursor, ChatGPT) to accelerate productivity.

[Preferred qualifications]

• BS/MS degree in Computer Science or a related field.
• Experience with MLOps practices such as model serving infrastructure, A/B testing frameworks, or ML pipeline orchestration tools.
• Leadership experience such as mentoring junior engineers, leading code reviews, or facilitating agile processes.
• Experience with performance profiling and debugging tools, high-performance network services, or FFI integrations for performance-critical components.
• Solution-oriented mindset with a focus on system sustainability, and willingness to explore emerging technologies into backend systems.

[Language]

Fluent in English, Japanese language proficiency is not required.

Open to overseas candidates/Visa Support
This position can be based in Tokyo, Japan or Taipei, Taiwan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth relocation transition to Japan.

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About Appier

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.

About the Role

We’re on the lookout for an ambitious and technically outstanding Senior Software Engineer, Backend Development to join our Enterprise Solution Engineering Team, Product Recommendation (ES REC). Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. In this role, you will be at the forefront of AI innovation, designing and building scalable backend architecture that delivers personalized experiences.

What You’ll Do

• Key owner of sizable engineering projects and services within the ES REC team.
• Architect and implement AI Agents and agentic workflows to automate decision-making processes and enhance recommendation delivery.
• Build and optimize Machine Learning pipelines for large-scale personalization, ensuring efficient data processing, model serving, and low-latency response.
• Design and operate scalable, cloud-native architectures leveraging managed services (e.g., GKE, BigQuery, or Pub/Sub) to support high-throughput recommendation workflows.
• Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows to ensure system elasticity.
• Define and implement CI/CD pipelines with tools like Jenkins or ArgoCD to enable seamless, automated, and reliable deployments.
• Lead system designs and provide technical guidance to team members.
• Mentor engineers in cross-team development processes.
• Lead code reviews to ensure high quality coding standards.
• Facilitate agile process collaborating with cross-functional teams, including Data Scientists and Product Managers.
• Continuously improve the system's observability, incident management, DevOps and production operational SOPs.
• Profiling and performance tuning of critical components to ensure high performance and scalability.
• Participate in idea brainstorming and contribute ideas to technology, algorithms and products.

About you

[Minimum qualifications]

• 5+ years of experience in software development.
• Proficient in Python or Go.
• Ability to build web services on Linux and good knowledge of Network API Design (REST/GraphQL).
• Proactive, good interpersonal skills, and a strong interest in the MarTech (Marketing Technology) domain and customer-centric product development.
• Open-minded towards using AI tools (e.g., Copilot) to improve coding efficiency.
• Good understanding of SQL/NoSQL databases (MySQL, MongoDB, Redis, etc.).

[Preferred qualifications]

• Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform or Helm to manage cloud resources.
• AI Agent Development: Experience in building applications related to LLMs, multi-agent systems, or RAG architectures.
• Machine Learning Engineering: Understanding of the ML lifecycle—from training and prediction to evaluation and feedback loops.
• Familiarity with LLM orchestration frameworks (e.g., Google ADK, LangChain, AutoGen) and Vector Databases.
• Experience in designing and architecting large-scale distributed systems and data-intensive applications.
• Experience with monitoring and alert systems (e.g., Prometheus, Grafana)

Why Join Appier?

At Appier, you’ll stand at the frontier of AI innovation, working alongside world-class engineers and researchers to create products that transform entire industries. Here, your engineering expertise will directly impact millions of users and drive revolutionary advances in marketing technology. If you’re ready to tackle challenging ML infrastructure problems with passion and creativity, Appier is your ultimate playground!

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About Appier 

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange.

Visit www.appier.com for more information.

About the role

Backend Development Intern at Appier works on a wide range of software projects that may extend solution innovation, impact product development processes or contribute directly to Appier’s product lines.  

We are currently looking for individuals who can commit to an internship schedule of 2-4 days (16-32 hours) per week. This internship opportunity entails a minimum duration of 6 months, beginning from the present date. We advise prospective applicants to carefully assess their availability for this commitment before submitting their applications.

After the internship, there is an opportunity to transition from an intern to a full-time position.

[ Due to the hybrid work model, this position cannot be fully remote and requires working in the Taiwan office. ]

Responsibilities

• Developing and operate scalable, reliable and maintainable service-based software and related components.
• Improve the scalability and observability of the system.
• Proposing and prototyping solutions to ease software development, monitoring of software, etc.
• Profiling and performance tuning of critical components.
• Improving system quality with test automation and related toolings.  
• Participate in idea brainstorming and contribute ideas to technology, algorithms and products.

About you

[Minimum qualifications]

• Currently pursuing a degree in Computer Science or a related technical field.
• Proficient in building web services on a Linux platform.
• Strong skills in at least one of the following programming languages: Python, Go or Java.
• Solid understanding of Network API Design principles (e.g., REST or GraphQL).
• Familiar with SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis, etc.).
• Minimum familiarity with Git version control and the ability to perform basic Git operations.
• Experience with Linux-based development, including setting up application runtime environments and optimizing machine resource utilization.
• Basic proficiency in Python programming, and experience with simple coding tests and open-source contributions.
• A collaborative team player who is also capable of independent work.
• Proactive with strong interpersonal and problem-solving skills.

• Bachelor’s degree in Computer Science or a related field.
• Proficient in performance profiling and debugging tools.
• Experience in developing high-performance network services on Linux.
• Ability to design and architect large-scale distributed systems, as well as knowledge of distributed algorithms and data structures.
• Familiarity with HTML and JavaScript.
• Experience with Nginx and HAProxy.
• Knowledge of Docker and Kubernetes, including experience using these tools.
• Familiarity with automation tools (such as Ansible) and CI/CD frameworks, with practical experience using tools like Jenkins, Drone, ArgoCD, etc.
• Understanding cloud infrastructure and services (AWS or GCP), as well as concepts related to cloud vs. on-premise solutions.
• Experience with cloud managed services (e.g., EC2, S3, Lambda, Load Balancer, ECS, API Gateway, etc.).
• Understanding the basics of distributed computing and parallel programming, with experience writing parallel programs using frameworks like Hadoop, Spark, Hive, CUDA, Flink, etc.
• Enthusiastic adopter of “vibe coding” culture—collaborative, transparent, and always pushing technical excellence together.

About Appier 

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.

About the role

Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, Backend Development, you will design and build scalable and performant backend architecture, own and drive the technical roadmap for sizable projects or services, mentor junior engineers, and facilitate high performance agile teams collaborating with cross-functional teams.

Responsibilities 

• Key owner of sizable engineering projects and services
• Lead system designs and provide technical guidance to team members.
• Mentor engineers in cross-team development processes.
• Lead code reviews to ensure high quality coding standards
• Facilitate agile process collaborating with cross-functional teams.
• Initiate and lead team-level technical, process and growth initiatives
• Continuously improve the system's observability, incident management, DevOps and production operational SOPs.
• Develop and operate scalable, reliable and maintainable service-based softwares and related components.
• Responsible for laying the foundation for the platform as well as proposing solutions to ease software development, monitoring of software, etc.
• Profiling and performance tuning of critical components
• Participate in idea brainstorming and contribute ideas to technology, algorithms and products
• Participate on-call rotation within Backend team to ensure product reliability and scalability

About you 

[Minimum qualifications]

• 5+ years of experience in software development
• Leadership experiences such as mentoring junior engineers, facilitating an agile process.
• Ability to build web services on Linux.
• Proficient in one or more of the following languages: Python/Scala/Go/Java/C++
• Good knowledge of Network API Design ( e.g. REST or GraphQL).
• Good understanding of any SQL/NoSQL database (MySQL / MongoDB / Redis / etc.)
• Familiar with git.
• Familiar with AWS, GCP or Azure.
• Proactive, good interpersonal and problem-solving skills.

[Preferred qualifications]

• BS/MS degree in Computer Science or related field.
• Technical leadership experiences
• Good at profiling and debugging tools.
• High performance network service on Linux.
• Design and architect large scale distributed systems.
• Design and implement distributed algorithms and data structure.
• Expert in some of the following CS Domains:
• Nginx / HAProxy.
• Operation automation tool (such as Ansible).
• Continuous integration / continuous deployment
• Monitoring and alert system (Prometheus / Nagios).
• Functional programming.
• Data Intensive Application Design.
• Web Frontend and Javascript.

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About Appier

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the Role

We are looking for a Senior Software Engineer, Machine Learning to join the Enterprise Solution Science Team. 
This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data.
In this role, you will help bridge the gap between research and production by building and optimizing scalable, high-performance ML infrastructure — including data pipelines, dashboards, and monitoring systems.

What You’ll Work On

• Design and operate robust ML job execution frameworks for training, inference, and post-processing.
• Build and maintain internal API servers and developer tools to orchestrate ML jobs on Kubernetes (via Argo Workflows, Helm, Terraform).
• Architect, implement, and scale batch (Spark) pipelines for ML training and evaluation.
• Design and monitor data infrastructure using PostgreSQL and other databases.
• Ensure high availability and observability through monitoring tools like Prometheus and Grafana.
• Create internal tools and services to simplify ML experimentation and production workflows.
• Collaborate closely with ML scientists to turn research outputs into user-facing product features
• Partner with engineers, PMs, and other cross-functional teams to deliver high-quality AI products

What We’re Looking For (Minimum)

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred)
• 3+ years of practical experience in ML platform engineering, MLOps, or data infrastructure. Includes deploying enterprise-grade ML systems (e.g., model serving, pipeline automation), integrating data sources, and building dashboards.
• Proficiency in at least one programming language such as Python, Java, or Go, along with solid understanding of data structures and algorithms
• Experience in cross-functional collaboration and leading projects 
• Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
• Proficient in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity

What We’re Looking For (Preferred)

• Industry experience in the MarTech domain, with a strong passion for building customer-centric products
• Strong ownership mindset and architectural thinking, with the ability to lead cross-functional platform initiatives
• Understanding of core ML and deep learning concepts
• Hands-on experience with end-to-end ML workflows and AI system architecture, and familiarity with platforms like Kubeflow, MLflow, or Apache Submarine.
• Familiarity with distributed computing frameworks (e.g., Apache Spark)
• Proficiency with cloud-native ecosystems (e.g., Kubernetes, Helm, Prometheus, Argo Workflows)

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About Appier

Appier is a leading SaaS company empowering businesses with cutting-edge artificial intelligence (AI) to drive smarter decision-making. Founded in 2012 with a mission to democratize AI, we transform complex data into actionable insights, making AI accessible and profitable. With 17 offices across APAC, Europe, and the U.S., and listed on the Tokyo Stock Exchange (Ticker: 4180), Appier is at the forefront of AI innovation. Visit www.appier.com for more information.

About the Role

We’re on the lookout for an ambitious and technically outstanding Senior Software Engineer, Machine Learning to join our Enterprise Solution Engineering Team, AIXON. This elite team leverages state-of-the-art ML technologies to solve real-world marketing challenges by integrating omnichannel customer data at scale.

In this role, you’ll be the vital bridge between cutting-edge research and production-grade deployment. You’ll design, build, and optimize scalable, high-performance ML infrastructure—including data pipelines, APIs, monitoring systems, and workflow orchestration—that power transformative AI solutions.

What You’ll Do

• Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows.

• Develop and maintain API services and developer tooling to orchestrate ML workflows on Kubernetes using Argo Workflows, Helm, Terraform.

• Build scalable, efficient batch pipelines with Apache Spark to support large-scale ML training and evaluation.

• Design and maintain robust data infrastructures using Trino, Databricks and other modern database technologies, monitored with Prometheus and Grafana for high availability and observability.

• Develop tooling that streamlines ML experimentation, accelerates production workflows, and empowers cross-functional teams to innovate rapidly.

• Collaborate deeply with ML scientists to transform research prototypes into reliable, scalable, user-facing AI products.

• Lead cloud infrastructure design and operations on GCP, leveraging managed services such as Google Compute Engine (GCE) , Google Kubernetes Engine (GKE) , Cloud Storage, Cloud Functions, Cloud Pub/Sub, Cloud SQL, BigQuery, and more.

• Define and implement CI/CD pipelines with tools like Jenkins, Github Action, or ArgoCD to enable seamless, automated deployments.

• Harness distributed computing and parallel programming principles to optimize system resource utilization and performance.

What You Bring

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s degree preferred).

• 5+ years of hands-on experience in ML platform engineering, MLOps, or data infrastructure, deploying enterprise-grade machine learning systems at scale.

• Expert proficiency in Python, Java, or Go, with solid foundations in data structures and algorithm design.

• In-depth experience with cloud environments (AWS or GCP) and cloud-native service management.

• Proven mastery of Docker containers and Kubernetes cluster management, including resource provisioning, autoscaling, and deployment best practices.

• Strong understanding of the ML lifecycle—from training and prediction to evaluation, backtesting, and feedback loops.

• Familiarity with Git workflows and Linux-based development environments.

• Passionate about continual learning and innovation, leveraging AI-powered developer tools like GitHub Copilot and ChatGPT to boost productivity.

What Will Set You Apart

• Experience in the MarTech industry or other customer-centric domains, eager to deliver products that delight users and drive business impact.

• Demonstrated architectural leadership and ownership, skillfully driving complex, cross-team platform initiatives.

• Strong grasp of deep learning fundamentals and end-to-end ML workflow platforms such as Kubeflow, MLflow, or AWS SageMaker.

• Hands-on experience with distributed data processing frameworks like Apache Spark, and pipeline orchestration tools such as Apache Airflow, Argo Workflow, or Luigi.

• Expertise in production-level ML applications, including handling data imbalance, preventing data leakage, and optimizing resource consumption for large-scale training and serving.

• Familiarity with real-time online inference architectures and batch processing trade-offs.

• Enthusiastic adopter of “vibe coding” culture—collaborative, transparent, and always pushing technical excellence together.

• Prior experience building or developing applications related to large language models (LLM), multi-agent LLM systems, or natural language processing (NLP).

Why Join Appier?

At Appier, you’ll stand at the frontier of AI innovation, working alongside world-class engineers and researchers to create products that transform entire industries. Here, your engineering expertise will directly impact millions of users and drive revolutionary advances in marketing technology. If you’re ready to tackle challenging ML infrastructure problems with passion and creativity, Appier is your ultimate playground!

#LI-AK1