דרושים » תוכנה » Senior Software Engineer

We are looking for a Senior Software Engineer to join the Data Repositories team, part of the Actimize NXT Gen PaaS/SaaS engineering group. In this role, you will design and build core backend services and data infrastructure powering Actimizes cloud native financial crime solutions.
Our next generation platform is being built from the ground up on AWS and will serve developers, data engineers, and data scientists at the worlds leading financial institutions. This is a unique opportunity to shape foundational platform components, influence architecture, and work with cutting-edge cloud and data technologies at scale.
How will you make an impact?
Lead, design, and implement backend/datacentric components for a cloud native platform on AWS.
Own end-to-end delivery: from requirements and architecture to coding, testing, deployment, and monitoring.
Build robust, scalable, and observable services used across the Actimize NXT Gen ecosystem.
Be a technical authority within the team: guide design discussions, perform code reviews, mentor developers.
Troubleshoot complex issues across distributed systems, data stores, and microservice architectures.
Drive innovation: evaluate new AWS services, frameworks, and data technologies; introduce improvements proactively.
Collaborate in an Agile environment with product managers, architects, DevOps, and cross functional engineering teams.
Ensure high availability, performance, and enterprise grade quality across components you own.

As a Senior Software Engineer, you will be at the heart of building our companys next‑generation Workforce Management platform - an advanced cloud‑native solution enhanced with intelligent, AI‑powered capabilities.
In this role, you will build full‑stack features, orchestrate AI agents to accelerate engineering workflows, and deliver innovative AI‑driven features directly to customers.
Youll work in a fast‑paced, agentic environment where experimentation, ownership, and initiative are not just encouraged-theyre expected.
If you excel as an engineer, exploring the boundaries of AI‑assisted development, and want to influence the future of how engineering teams work with autonomous agents, this role is tailor‑made for you.
How will you make an impact?
Drive engineering excellence through AI‑augmented workflows and agentic development patterns.
Develop end to end cloud features on top of AWS.
Optimizing components for maximum performance.
Ensure high-quality deliverables and efficient project execution and continuous improvement.
Lead features design and implementations.
advise on tech. selection, show initiative in driving technical direction and team collaboration.
Demonstrate strategic thinking and a long-term vision for scalable solutions.
Champion continuous improvement and high‑velocity delivery in an innovative, fast‑moving environment.

We are looking for a Senior Software Engineer to join the AIOps platform team and help build the core distributed systems that ingest massive telemetry streams from GPU clusters and operationalize predictive AI models at scale. You will work at the intersection of high-performance data engineering and production ML, turning research algorithms into reliable, mission-critical software.

What you'll be doing:

Architect and build an agentic AIOps system that autonomously monitors GPU fleet health, aggregates and correlates massive telemetry streams, surfaces intelligent alerts, and orchestrates multi-step diagnostic workflows and corrective actions - powering real-time dashboards, automated root-cause analysis, and proactive incident response.

Research, evaluate, and prototype data storage strategies and data representations across diverse database technologies and modalities, ensuring AI models are trained on high-quality, well-structured data that improves predictive accuracy and generalization.

High-Scale Engineering: Design distributed systems to handle the extreme telemetry density of large-scale AI clusters, ensuring efficient data ingestion, processing, and real-time analysis.

Instrument services with deep observability (metrics, logs, traces) to support rapid debugging and continuous performance improvement.

Build and own the model-serving infrastructure that operationalizes predictive algorithms at scale - packaging, versioning, deploying, and monitoring AI models in both SaaS and on-premises environments.

Contribute to the platform's core libraries and abstractions that accelerate development across the broader AIOps engineering team.

We are transforming the world of networking for massively scaled AI factories through Spectrum-X: Our Ethernet Networking solution. We need automation engineers with strong coding skills to join our Spectrum-X team and create the products that will drive the next phase of AI growth. Aa a Software Engineer you will ensure that the solution's software features are developed, tested and delivered to meet the high standards of our customers. Do you want to help create the most exciting solutions in the world of networking today? If so, read on.

What you'll be doing:

Participating in an international team of software engineers working on products for testing our ethernet networking products.

Designing and implementing robust, maintainable, and efficient automation test suites for end-to-end testing of AI ethernet networks.

Engaging directly with our customers to ensure we are aligned on their networking requirements and solve their problems.

Debugging and diagnosing complex networking problems.

We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking and virtualization. You will play a key role in validating and testing complex software products that support the InfiniBand protocol, delivering advanced networking services for cloud, HCP machine learning, and AI workloads.


What Youll Be Doing:

Build automated verification tests in a simulated environment for high-end hardware and software.

Collaborate with multiple teams to understand new network technologies, ensuring accurate modeling of complex network behaviors.

Enhance product quality by improving test coverage and developing comprehensive verification strategies.