Java Jobs

Crusoe is seeking a Senior Production Engineer to join their team and ensure the reliability and scalability of their AI-optimized cloud platform. This role is crucial for building and operating managed AI services at scale, focusing on delivering highly available, performant, and cost-efficient AI infrastructure for compute-intensive, latency-sensitive workloads. The ideal candidate will have a strong background in distributed systems and hands-on experience with large language models, contributing to the future of AI infrastructure.

$170k - $205k

HackerRank is seeking a Senior Backend Software Development Engineer to drive the technical direction of critical backend systems and lead high-impact, platform-level initiatives. This role involves owning the architecture and evolution of core backend services, mentoring engineers, and making key technical decisions to ensure the platform remains fast, reliable, and scalable for a growing global user base. The ideal candidate will contribute to the company's mission of helping businesses hire and upskill developers based on skills, adapting to the evolving landscape where humans and AI build together.

$150k - $172k

Stripe is seeking a Backend Engineer for its Core Technology team. This role involves working on critical tier0 infrastructure systems, including compute, networking, document databases, distributed caching, and high-assurance engineering. The team builds the foundational platform that enables Stripe products and services to operate at scale, driving reliability, availability, efficiency, and scalability. You will design, build, test, and ship high-quality code daily, contributing to a great customer experience for both internal and external Stripe teams.

Stripe is seeking product-minded engineers to join the Builder Experience Team, which focuses on improving how Stripe's product teams build, ship, and iterate on products. This team is AI-native and reimagines workflows using AI agents and automation to address fragmented and manual processes. The role involves identifying high-friction areas in the product development lifecycle, prototyping new approaches, and scaling successful experiments into solutions used across Stripe. You will work across the full stack, combining traditional software engineering with emerging AI capabilities to discover the right product, interface, and technical architecture in ambiguous problem spaces.

The Link team is building the premier consumer network for next-generation commerce, leveraging over 300 million registered consumers to pioneer the future of Identity, Consumer Finance, and AI-driven transactions. The Consumer Preference team specifically focuses on enhancing the Link experience across web applications and agents, creating a wallet product that empowers consumers with financial insights, rewards, and secure transaction capabilities. As a Staff Full Stack Engineer, you will lead the design and delivery of new consumer features, taking ambiguous product opportunities from initial concept through validation and final launch. This hands-on role involves owning large, cross-functional projects, leading engineering teams, and making critical architectural decisions to balance quality with rapid iteration.

Accenture

We are seeking AI-native engineers who integrate AI as a core part of their workflow, not as an add-on. In this role, you will design, build, and ship production-grade software across the full stack, leveraging AI-assisted tooling as a standard daily practice alongside your core engineering skills. You will work on client programs across various industries, building software that connects to and supports agentic AI systems. This involves understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This is a core engineering function with a direct pathway to advanced roles for those who develop agentic depth.

Accenture

You will be responsible for building production-grade agentic AI systems that operate within enterprise environments, moving beyond demos and prototypes to deliver real-world solutions. This role involves designing, building, and deploying these systems across the full enterprise technology stack, working directly with client engineering teams. You will lead technical design sessions and develop reusable patterns and accelerators to ensure scalability. This position offers broad exposure to various industries, technology stacks, and organizational complexities, along with unique access to engineering teams at leading AI companies and a direct path to specialized programs.

€29k - €55k

Crusoe is seeking a highly skilled Software Engineer to join their Data Center Infrastructure Engineering team. This role focuses on developing software for managing a fleet of GPU servers and the data centers that house them. The position involves creating and implementing advanced diagnostic, observability, automation, and repair tooling for high-performance GPU compute clusters. The ideal candidate will be a hands-on problem solver comfortable working independently, playing a critical role in maintaining the health and scalability of Crusoe's rapidly growing GPU fleet.

$170k - $205k

Glean is seeking a Software Engineer to join its Data Foundations team. This team is responsible for the entire data ingestion and management layer that powers Glean's Search, AI Assistant, and Agent products. Your work will directly impact the quality, freshness, and trustworthiness of the knowledge that all Glean users interact with daily. You will be instrumental in building and scaling connectors to various SaaS and on-prem systems, handling complex data synchronization, and transforming raw enterprise content into structured representations optimized for search and LLM reasoning. This role offers the opportunity to contribute to advanced data source capabilities and expand AI product functionality through deep integrations.

$180k - $300k

Anthropic

Our team builds the systems that enable every change to Anthropic's software to reach production safely and predictably. This includes managing pipelines, staged rollouts, health-gated promotion, rollback, runtime configuration, and feature flags across a large fleet of machines. You will own a significant part of this end-to-end process, from initial design to ongoing operation in production. If you are passionate about influencing the speed and safety of Anthropic's software releases, this role offers a unique opportunity.

$405k - $485k

As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems. You will build end-to-end pipelines that extract signals, train custom models per merchant, and serve predictions at production scale with low latency. You will work on an automated machine learning ecosystem that dynamically recalibrates models based on streaming global telemetry data.

$170k - $240k

Glean is seeking recent university graduates with a passion for software engineering to join our team. As a University Graduate Software Engineer, you will participate in designing, developing, and maintaining software solutions that power our products and services. You will own impactful infrastructure problems from inception to production launch, write design documents and robust code, and collaborate with a strong team to prioritize projects. Team placements will be made based on interest and open roles, with opportunities in Backend, Product, and ML Engineering.

$115k - $150k

As a Principal Cloud Platform Engineer, you will specialize in our AI Inferencing Service, acting as the guardian of its reliability, performance, and scalability. You will bridge the gap between software development and operations, applying an engineering mindset to solve operational challenges. Your primary focus will be ensuring our inference endpoints have exceptional uptime, low-latency response times, and efficient resource utilization, directly impacting the experience of our customers and the success of our AI products. This role includes participating in a shared on-call rotation to maintain 24/7 service reliability.

$210k - $280k

Machinify is a leading healthcare intelligence company focused on delivering value, transparency, and efficiency to health plan clients. We are seeking a hands-on, technically deep Sr/Director of Engineering to lead our ML Engineering team. This role involves managing and growing a team responsible for building and operating the company's core AI/ML platform at massive scale. You will also act as a key thought partner to the Chief AI Officer, translating data science proof-of-concepts into scalable, production-grade services. The ideal candidate possesses a blend of AI/ML engineering expertise and applied data science fluency, understanding the intricacies of productizing AI/ML capabilities including serving, observability, reliability, and scale.

Accenture

This role focuses on building and shipping production-ready software where AI is a core component of the engineering lifecycle. You will apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve software development and operations. The position involves building full-stack enterprise applications using AI tools for accelerated coding, testing, and integration, aiming to deliver immediate organizational value through productivity uplift.

Accenture

This role focuses on building and shipping production-ready software where AI is a core component of the engineering lifecycle. You will apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve software development and operations. The position involves providing architectural direction and leadership, influencing vision with product managers and engineering teams, and solving complex problems. You will lead design sessions, conduct code reviews, and mentor team members to foster a learning culture and ensure successful project contributions.

Accenture

Accenture is seeking an Advanced AI Engineer to design, build, and operationalize AI and machine learning solutions for enterprise clients. This role involves combining custom models with cloud and third-party AI services to deliver production-ready outcomes. You will manage the full solution lifecycle, from assessing client needs and data to selecting and customizing models, designing scalable data and MLOps/LLMOps pipelines, and ensuring the quality and reliability of deployed systems. This is an opportunity to work in a digitally driven, innovation-led environment on cutting-edge projects within our Global Agentic Center of Excellence.

$70k - $206k

Accenture

As an AI/ML Computational Scientist Manager, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients. This involves combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role will encompass the entire solution lifecycle, from assessing client needs and data, to selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models). You will also design scalable data and MLOps/LLMOps pipelines for training and production, ensuring the quality, value, and reliability of deployed systems. This position requires formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions, and engaging in research and development of new AI and high-performance compute algorithms.

Accenture

We are seeking an AI Native Software Engineer to build and ship production-ready software where AI is a core part of the engineering lifecycle. This role involves applying AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve software development and operations. You will leverage AI tools for accelerated coding, testing, and integration, delivering immediate organizational value through productivity uplift.

Accenture

This role focuses on building and shipping production-ready software where AI is a core component of the engineering lifecycle. You will apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve software development and operations. The position involves building full-stack enterprise applications using AgentAI tools to accelerate coding, testing, and integration, aiming to deliver immediate organizational value through productivity uplift and reduced reliance on scarce AI-native talent. The emphasis is on integrating AI services and features, such as RAG, rather than model training.