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Our team focuses on developing products to allow for personalizing the customers experience and providing them with real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield and large-scale engineering and science projects.

Key job responsibilities
- Own architecture and feature development for our Personalization and CV/ML teams.
- Partner with other engineers to ideate, design, and build scalable solutions.
- Utilize data science and ML to develop products that deliver great experiences for customers.
- Tackle complex technical challenges across the stack - from data pipelines to large scale services.

As a Software Engineer in our NoSQL and in-memory computing platform team, you will lead the software development of large-scale, distributed in-memory storage platform with sub-millisecond latency. You will leverage open source technologies like Valkey, Memcached, and our proprietary technologies. This includes data plane extremely fast and high throughput development, low level optimizations, asynchronous messaging, event-based technologies, real-time failure detection system, horizontal and vertical scaling, auto-remediation, high availability, fault tolerance, storage technologies, snapshoting, and disaster recovery.

In this role, you will have oversight of all things technical, own significant portions of the product, and serve as a mentor for other engineers in their areas of work. As software Enginee, you will helping define the product features, drive system architecture, and spearhead best practices. You will work to enable a quality product and set the groundwork for success in the next phase of the product and beyond. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating a reliable, scalable, and high-performance service requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. You should be someone who enjoys working on complex system software, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals.

We are looking for a talented DevOps Engineer to join our team. In this role, you will design, build, and maintain scalable cloud infrastructure, optimize CI/CD pipelines, and support reliable production environments. Responsibilities
* Design, build, and maintain secure and scalable cloud infrastructure.
* Develop and optimize CI/CD pipelines for efficient software delivery.
* Monitor, troubleshoot, and improve production environments.
* Collaborate closely with Development and QA teams to streamline workflows and automation processes.
* Implement and maintain Infrastructure as Code (IaC) and automation solutions.

We are looking for talented students/engineers to help us develop the semiconductor platform which is based on revolutionary architecture. Take part in the development of cutting edge products within disruptive system architecture. Youll have the opportunity to work on the technologies that power the worlds largest Cloud provider, within a dynamic, open, and fast-paced environment. Our Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. Become part of the group which is responsible for development of essential components for networking and storage functionality in the biggest cloud in the world (AWS).

Learn and influence how the cloud works "behind the curtain" today and be part of the innovation that defines how it will look tomorrow - make if more secure, faster and robust. This challenging and interesting job will allow you to contribute into different domains which include embedded development, host stacks and internal services. Get involved in using of cutting edge technologies in both kernel and user space. Being part of Annapurna's SW group will help to establish connections with many other AWS groups and contribute on a company wide scale.

As a Sr. Software Engineer in our NoSQL and in-memory computing platform team, you will lead the software development of large-scale, distributed in-memory storage platform with sub-millisecond latency. You will leverage open source technologies like Valkey, Memcached, and our proprietary technologies. This includes data plane extremely fast and high throughput development, low level optimizations, asynchronous messaging, event-based technologies, real-time failure detection system, horizontal and vertical scaling, auto-remediation, high availability, fault tolerance, storage technologies, snapshoting, and disaster recovery.

In this role, you will have oversight of all things technical, own significant portions of the product, and serve as a mentor for other engineers in their areas of work. As the key member of the engineering team, you will have a significant influence on our overall strategy by helping define the product features, drive system architecture, and spearhead best practices. You will work to enable a quality product and set the groundwork for success in the next phase of the product and beyond. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating a reliable, scalable, and high-performance service requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. You should be someone who enjoys working on complex system software, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals.

This role requires a strong operational leader with experience managing large-scale cloud environments, developing technical talent, and driving continuous improvement through automation, standardization, and data-driven decision making.

Responsibilities
Leadership

Build, lead, and develop high-performing cloud operations and site reliability engineering teams.
Establish organizational goals, priorities, and operating rhythms aligned with OCI business objectives.
Foster a culture of operational excellence, accountability, collaboration, and customer focus.
Recruit, mentor, and develop technical leaders and individual contributors.

You'll design and build features that shape how hundreds of millions of customers discover products. The problems here are genuinely novel - we're defining how LLMs integrate into real-time recommendation experiences, not applying established playbooks. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This team values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence, not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating for engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
- Design, build, test, and operate features for a personalized recommendation system used by multiple teams and operating at our scale.
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.

We are looking for an experienced Product Manager to join our Global Product team.
What will you do?
Lead and own the SDK monetization product, focusing on programmatic monetization for our In-app SDK and its Experience
Design and execute the roadmap for our core products, ensuring it exceeds client expectations and remains an innovative solution in the industry.
Demonstrate a very strong combination of inbound and outbound industry product vision and understanding.
Actively engage in client conversations, understanding their business and technical needs, and translating them into strategic product decisions.
Team Collaboration:
Work closely with cross-functional teams (R&D, marketing, customer care, sales and account managers) to coordinate and communicate product releases and features.
Lead the development cycles and priorities, serving as the bridge between the business and technical aspects of the team.
Client Relations:
Build strong relationships with industry leaders and third-party service providers, fostering meaningful connections that contribute to product growth and improvement.
Oversee the successful launch of products, analyzing their effectiveness and success.
Strategic Vision:
Play a pivotal role in decision-making processes related to the company's flagship product, future plans, and growth direction.
Stay tuned to industry trends in mobile app monetization, regulatory requirements, publisher needs and wants as well as cutting-edge optimization strategies, adapting our product strategy accordingly.

We are seeking an experienced engineer to join our team that owns the network stack for EC2 distributed AI/ML systems. The team develops support for a variety of frameworks and communication libraries including NCCL, NVSHMEM, NIXL, NCCL GIN, and Perplexity kernels. Solid knowledge of Linux, networking, and performant coding is important. Experience with embedded systems is valued, and experience with high-speed networking or HPC/RDMA interconnects is highly valued.

If you like solving hard problems, want to work with HPC and ML customers, iterate fast and deliver meaningful solutions at scale, then come join us! This truly is a role at the forefront of AI/ML-you'll be working on features for the largest clusters, with the largest customers, for the largest AI models.

Key job responsibilities
Be a senior engineer on a team that builds and maintains the infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale. Use our internal CI/CD tools, Linux, and public AWS products to automate the delivery of our software to customers, saving developer time. Write Python code that effortlessly spools up large clusters and runs benchmarks and applications for ML and HPC workloads. Use AWS Managed Grafana and Athena to digest the massive amount of performance data generated by these workloads and create dashboards for developers and stakeholders. Invent automatic mechanisms to alert developers to functional and performance regressions so they never reach reach customers. Manage the complexity of infrastructure that covers many instance types, software stacks, Linux operating systems, cutting-edge releases and make it easy to evolve.

If you are people-oriented and passionate about tech and operations, your place is with us!
We are looking for a Programmatic Partnerships Manager to join our integral programmatic team and manage relationships with leading global demand partners.
Build and grow strong relationships and execute business plans to drive growth and success.
Represent Start.io, conduct meetings with clients and perform quarterly business reviews.
Collaborate with product, engineering, data scientists and data analysts to bring market feedback and drive improvements.
Own account and campaign management, including technical execution, integrations, troubleshooting, data analysis, and ongoing optimization.
Track, analyse, and communicate key metrics to internal and external stakeholders and execute new growth initiatives.

An exciting opportunity to join Amazon in developing its next generation products for the cloud market, working in a very team-oriented environment.
We are looking for exceptional software engineers to help develop the next generation chips based on a revolutionary architecture.
In this job you will design and develop software for functional and performance validation.

Key job responsibilities
In this role you will develop system level software, targeting chip architecture, functional correctness and performance, running on various platforms and validating chip functionality.

The role supports the Accounts Payable (AP) by ensuring accurate invoice processing, efficient payment execution, and reliable cash monitoring. The position works closely with internal teams to maintain smooth financial operations and contributes to the monthly closing process.
Key Responsibilities
Accounts Payable Operations
Manage the AP inbox to ensure timely receipt, review, and processing of invoices
Upload and process invoices in accordance with internal procedures
Handle vendor setup and maintain vendor master data
Coordinate internally to resolve invoice and processing issues
Payments Processing
Execute global payments across multiple methods (ACH, wire transfers, SEPA, SWIFT)
Ensure accuracy, compliance, and timely execution of all payment runs
Bank Reconciliation & Cash Monitoring
Record and reconcile daily and weekly bank transactions
Monitor cash movements and support cash tracking processes
Ensure alignment between bank activity and accounting records
Month-End Close Support
Assist in the preparation of monthly close packages
Post journal entries and accruals
Support variance analysis and review of financial data.

The MLIL DataPlane team is looking for a Software Development Engineer to own the design and implementation of our inference data plane. We build the software that makes large models run efficiently on custom hardware - spanning model execution, memory management, data movement, and serving integration.
Our work covers the full inference path: integrating serving engines with custom hardware, developing high-performance compute kernels, enabling efficient data movement, and driving models from early validation through production. We operate at frontier scale with large distributed models.
This is a ground-up effort with rapidly evolving hardware and software. We are looking for an IC who can write and optimize low-level code for custom hardware, validate model architectures end-to-end, build test and profiling infrastructure, and drive performance across the stack.

Key job responsibilities
- Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference.
- Implement and validate LLM architectures (decoder-only, mixture-of-experts) end-to-end - from PyTorch model definition through distributed execution on custom hardware.
- Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler extensions, memory management, and model parallelism.
- Build and maintain test infrastructure for model correctness validation across CPU, GPU, simulator, and hardware targets.
- Profile and optimize inference workloads - identify bottlenecks, instrument critical paths, and drive latency and throughput improvements from simulation through hardware bringup.
- Own features end-to-end: from design through implementation, testing, and integration into the broader software stack.
- Contribute to CI/CD pipelines that gate model and kernel changes on correctness and performance regressions.