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Were looking for a Senior SW Engineer to lead development of algorithmic data processing pipelines at high scale and build the next generation of our data processor.
Responsibilities
Data Centric Software Development: Lead development of algorithmic data processing pipelines at high scale
Monitoring and Performance Tuning: Optimize resource consumption and monitor performance of complex data pipelines handling high throughput
Collaboration with Data Scientists: Work closely with data scientists and to integrate ML models and other algorithmic artifacts into a production grade data platform and application ecosystem. Facilitate seamless collaboration between teams to ensure ML and data engineering efforts are aligned with business objectives.
Peer collaboartion : Bring knowledge of architecture, design patterns and best practices to help improve quality within the team
Security and Compliance: Ensure the data platform adheres to security best practices and compliance requirements, protecting sensitive data and privacy.
Technology Evaluation and Innovation: Stay abreast of the latest developments in Data processing, ML technologies, and cloud services to drive innovation and adopt new technologies where beneficial. 

Were looking for a strong backend engineer to join us in building disruptive technology in the IoT space. As part of our team, youll design and implement scalable management systems, solve complex problems, and shape the future of IoT through innovative software solutions.
Responsibilities
Design SW solutions, considering large scale, high availability, security, robustness, performance, cloud, multi-tenancy
Develop the highest standard code, complex solutions and architecture
Work with cross-functional stakeholders such as product management, additional SW engineers, architects and team leads
Understanding and oversee of all phases of the development life cycle, such as Automation, CI\CD, TDD, Integrations, Builds, Deployment
Support and troubleshoot production issues.

We are looking for a GenAI Product Owner to join our AI organization and play a critical role in executing our GenAI and Physical AI initiatives. This is a highly hands-on, execution-focused role, sitting at the intersection of GenAI, data platforms, and ambient IoT.
You will work closely with engineering teams to turn ideas, strategies, and architectural direction into clear technical stories, tasks, and deliverables - and make sure they get shipped. While product strategy will evolve over time, the core of this role is getting things done: driving execution, removing friction, and ensuring complex technical work moves forward with clarity and urgency.
This role is ideal for someone who enjoys being close to the technology, thrives in ambiguity, and wants to work on deep, difficult problems at the frontier of Physical AI and GenAI.
Responsibilities
Own the Product Roadmap: Lead the planning, execution, and delivery of product features related to our data-driven products.
Sprint Management: Oversee agile sprints, ensuring alignment between engineering teams and other stakeholders on timelines and technical requirements.
Collaborate with Cross-Functional Teams: Work closely with engineering, product managers, and business teams to ensure features align with both technical and business needs.
End-to-End Ownership: Take full responsibility for the product lifecycle, from ideation through to delivery and iteration.
Drive Timely Delivery: Ensure the delivery of roadmap features on time, managing risks and adapting to changing priorities.
Communication: Regularly update leadership and stakeholders on project status, roadblocks, and successes.

We are seeking a Senior Manager / Director of Data Analytics to own and lead our customer analytics domain. This is a high-impact, hands-on leadership role responsible for turning large-scale, global data into insights, dashboards, alerts, and analytical tools that drive executive decisions and customer success.
This role reports directly to the VP of R&D and works closely with executive stakeholders across the company. We are looking for a strong pusher with high energy - someone who proactively drives analytics forward, challenges assumptions, and makes things happen.
Responsibilities
Lead a small team of data analysts, while remaining deeply hands-on
Act as a driver and pusher - proactively identify gaps, opportunities, and insights
Own analytics for customer data, including:
Usage and adoption
Cost and efficiency
Pricing and monetization insights
Detection of abnormal or anomalous behavior
Design and deliver dashboards, reports, and automated alerts for executives and customer-facing teams
Work closely with R&D, Product, and business leaders to turn data into action
Operate in a fast-moving, high-energy environment, managing multiple priorities
Apply and help evolve AI-driven analytics and agent-based approaches
Support and scale analytics across a global data footprint.

We are looking for a DevOps engineer to join the team.
Responsibilities
Own operational responsibility for the application and platform layers in a critical SLA.
Oversee and own overall production - deployments, maintenance, and enhancements.
Ensuring Production SaaS platform high availability working with various teams.
Improve our systems, deployments, operations, and overall cloud activities.
Responsible for deployment, tools, troubleshooting, and performance tuning.
Manage incidents
Focusing on root cause analysis, prevention measures, and knowledge transfer.
Develop and maintain processes, documentation, and automation.
Platform maintenance and testing initiatives.

abra R&D solutions looking for a Python Backend Developer to join our team! We are looking for a skilled Python Backend Developer, with a focus on backend development as well as building and maintaining internal tools, infrastructure components, and integrations with Azure DevOps.
* Develop and maintain Python-based backend services
* Build and maintain CLI tools
* Work on infrastructure (Infra) development
* Integrate systems and workflows with Azure DevOps
* Write and maintain CI/CD pipelines
* Develop automation scripts and DevOps tooling

We are seeking an experienced CloudOps Engineer to join our OPS team. This is a pivotal role responsible for leading the organization's strategic transformation from a traditional VM-based environment to Azure Kubernetes Service (AKS) The CloudOps Engineer will steer the technical direction, working alongside DevOps and CloudOps units to ensure consistent, automated, and secure deployment processes. This position requires a blend of deep technical expertise in cloud infrastructure and DevOps practices, combined with leadership capabilities to mentor the team and drive architectural decisions.
Responsibilities:
Lead Technical Transformation: Spearhead the migration strategy of customer environments from legacy VM platforms to the AKS platform, ensuring efficiency and minimal downtime. Infrastructure Architecture & Automation: Design and manage secure, scalable cloud infrastructure (Azure/AWS). Manage and author complex Infrastructure as Code (IaC) using Terraform and Ansible as the organizational standard. Mentoring & Professional Leadership: Provide technical mentorship to OPS engineers, conduct infrastructure code reviews, and implement operational best practices. Cross-Functional Collaboration: Collaborate closely with Development and Project Delivery teams to ensure seamless application integration and deployments. Reliability & Availability: Ensure High Availability (HA) of systems, perform proactive monitoring, and handle high-level (Tier 3/4) troubleshooting of complex infrastructure issues.