we are seeking a backend engineer with a strong foundation in building scalable, high-performance systems and a deep understanding of cloud infrastructure, distributed systems, and data pipelines. This role focuses on designing and optimizing backend services that support our machine learning (ML) operations and real-time personalization capabilities.
We foster a professional environment where experienced engineers collaborate to drive technical excellence, continuously improving our backend architecture and infrastructure. As a Backend Engineer, you will play a key role in building and maintaining the backend services that power our ML infrastructure, ensuring efficiency, scalability, and reliability.
Role & Responsibilities:
Design, develop, and optimize backend services that support ML pipelines, APIs, and real-time decision-making systems.
Architect and implement scalable and reliable data processing workflows, integrating ML models into production environments.
Build and maintain infrastructure for efficient model deployment, monitoring, and versioning.
Ensure high availability, performance, and security of backend services.
Lead initiatives to improve system architecture, reduce technical debt, and enhance development processes.
Collaborate with data scientists, ML engineers, and DevOps teams to streamline ML model integration.
Stay up to date with the latest advancements in backend technologies, cloud computing, and distributed systems.
R-263410

we are looking for a Backend Software Engineer to join our growing team. Youll help design and build a complex SaaS platform that integrates with security systems, on-prem tools, and a powerful calculation engine, all while providing the best user experience
. In our team, youll work closely with colleagues across Product, Cyber, DevOps, and QA to continuously deliver impact.
Its a startup vibe inside a big company: fast-moving, hands-on, and full of opportunities to grow.
You'll deepen your skills in architecture, scalability, and secure system design and help shape something that matters.
As a Backend Software Development Engineer, you will:
Plan and design high-quality backend solutions, ensuring quality through strong architecture and comprehensive testing.
Build various core components integrated as a whole product:
Extensive and stable integration solutions to both internal and external cyber sources and systems.
Improve, validate, and innovate algorithms, calculations and analytics throughout all system components and integration points.
Work in a fast-paced and agile work environment with business-oriented delivery focus.
Communicate with team members, other technical teams and management to collect requirements, identify tasks, provide estimates and meet production deadlines
Proactively self-learn, maintain, and troubleshoot all existing system components to ensure smooth and reliable operation.
Review and rewrite legacy code to latest technologies.
R-252004

we are looking for a Full-Stack Software Engineer with a strong backend orientation to join our growing team. Youll help design and build a complex SaaS platform that integrates with security systems, on-prem tools, and a powerful calculation engine, all while providing the best user experience.
In our team, youll work closely with colleagues across Product, Cyber, DevOps, and QA to continuously deliver impact. Its a startup vibe inside a big company: fast-moving, hands-on, and full of opportunities to grow. You'll deepen your skills in architecture, scalability, and secure system design and help shape something that matters.
As a Software Development Engineer, you will:
Plan and execute high quality developments end-to-end meeting all development standards
Build various core components integrated as a whole product:
Advanced UI adjusted to various end-user UI platforms while considering SaaS experience and challenges.
Extensive and stable integration solutions to both internal and external cyber sources and systems.
Improve, validate, and innovate algorithms, calculations and analytics throughout all system components and integration points.
Work in a fast-paced and agile work environment with business-oriented delivery focus.
Communicate with team members, other technical teams and management to collect requirements, identify tasks, provide estimates and meet production deadlines
Self-study, maintain and debug all existing system components
Review and rewrite legacy code to latest technologies
R-252003

In this role, you will shape the architectural foundation of SaaS Platform, with a special focus on designing scalable and resilient data models and system structures. Youll drive architectural strategy and design decisions that enable data-driven insights, efficiency, and long-term platform scalability. Youll collaborate with engineering, product, and research teams to define the evolution of our data ecosystem and ensure our architecture meets the demands of cutting-edge cloud-native security workloads.



Responsibilities

Lead the architectural design and evolution of Aquas SaaS platform, with a focus on data modeling, storage, and system structure.
Define and document software architecture standards, guidelines, and best practices across teams.
Collaborate with backend, data, and product engineers to build robust, scalable, and extensible data-driven systems.
Design and optimize data schemas, storage strategies, and pipelines for high-volume, real-time, and analytical workloads.
Evaluate and integrate technologies that enhance system performance, scalability, and observability.
Provide technical leadership throughout the full product lifecycle from conceptual design to implementation and deployment.
Review and mentor engineering teams on architecture patterns, system design, and data management practices.
Conduct PoCs and technology evaluations to guide strategic architectural decisions.
Partner with cross-functional teams to align architecture with business needs and product goals.
Partner with cross-functional teams to align architecture with business needs and product goals.

We are looking for a Senior Full-Stack Developer
As a Senior Full-Stack Developer at Oktopost, you will be at the core of building and enhancing our B2B social media management platform.
You will develop high-quality software, contribute to architectural decisions, and collaborate with cross-functional teams to deliver impactful features. With a strong focus on best practices, scalability, and performance, youll help shape the technical direction of our platform. If you're passionate about solving complex challenges and working across the stack, wed love to hear from you!
What you'll do:
Develop and maintain high-quality software solutions, from planning and design to testing, deployment, and maintenance.
Actively participate in technical discussions and contribute to architectural decisions.
Write clean, efficient, and scalable code while ensuring best practices in software development.
Collaborate closely with cross-functional teams, including Product, Design, and other developers, to deliver features effectively.
Provide technical guidance, share knowledge, and mentor other developers to improve overall team expertise.

We are looking for a Senior Back-End Developer.
As a Senior Back-End Developer, you will be responsible for designing, building, and optimizing the core backend systems that power our B2B social media management platform.
You will develop scalable and high-performance solutions, contribute to architectural decisions, and collaborate closely with cross-functional teams to deliver impactful features. If you thrive in solving complex challenges, enjoy working with modern backend technologies, and are passionate about building robust and efficient systems, we want to hear from you!
What youll do
Develop and maintain high-quality software solutions, from planning and design to testing, deployment, and maintenance.
Actively participate in technical discussions and contribute to architectural decisions.
Write clean, efficient, and scalable code while ensuring best practices in software development.
Collaborate closely with cross-functional teams, including Product, Design, and other developers, to deliver features effectively.
Provide technical guidance, share knowledge, and mentor other developers to improve overall team expertise.

We are seeking an experienced AI Development Expert with deep technical expertise, strong system-level thinking, and a proven ability to define and implement AI-based solutions across an organization.
This role involves shaping AI system architecture, selecting appropriate technologies, establishing standards, building infrastructure, and advancing innovation in areas such as Machine Learning, Natural Language Processing, and other intelligent applications.
How will you make an impact?
Write high-quality, efficient Python code, including model development, data processing scripts, and MLOps infrastructure.
Guide and advise technical teams on architecture selection, development methodologies, and MLOps practices.
Partner in defining end-to-end AI solution architecture from infrastructure to product.
Support selection and implementation of models, platforms, and advanced AI/ML tools.
Manage risks and address scalability, security, and regulatory aspects of AI solutions.
Write architecture documents, conduct technology reviews, and contribute to strategic projects.
Research and support new technologies (Generative AI, LLMs, CV, and more) according to organizational needs.
Collaborate with development, product, and data teams to optimally integrate AI solutions into existing and new products.

We are seeking an experienced AI Development Expert with deep technical expertise, strong system-level thinking, and a proven ability to define and implement AI-based solutions across an organization.
This role involves shaping AI system architecture, selecting appropriate technologies, establishing standards, building infrastructure, and advancing innovation in areas such as Machine Learning, Natural Language Processing, and other intelligent applications.
How will you make an impact?
Write high-quality, efficient Python code, including model development, data processing scripts, and MLOps infrastructure.
Guide and advise technical teams on architecture selection, development methodologies, and MLOps practices.
Partner in defining end-to-end AI solution architecture from infrastructure to product.
Support selection and implementation of models, platforms, and advanced AI/ML tools.
Manage risks and address scalability, security, and regulatory aspects of AI solutions.
Write architecture documents, conduct technology reviews, and contribute to strategic projects.
Research and support new technologies (Generative AI, LLMs, CV, and more) according to organizational needs.
Collaborate with development, product, and data teams to optimally integrate AI solutions into existing and new products.

ActiveFence is a leading platform for Trust & Safety teams worldwide, leveraging cutting?edge AI and world?class expertise to protect users from the widest spectrum of online harms. By continuously collecting and analyzing data, our solutions ensure customers stay two steps ahead of bad actors in an ever?changing threat landscape. We’re seeking an outstanding Backend Engineer with a Generative AI orientation to join our research team. We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities. This platform will handle GenAI models deployment, prompt management, data filtering, logging, and monitoring, centrally, so individuals can focus on their own business-specific logic. Key Responsibilities
* Build and maintain CI/CD pipelines that support fast, reliable integration and deployment of GenAI systems across complex environments, including orchestrating multiple models/agents and MCP clients/servers.
* Develop, deploy and integrate AI solutions and agentic frameworks, creating both command?line tools and interactive notebooks that support our team’s research and workflow automation needs.
* Build and manage data pipelines and databases (SQL) for large?scale data handling, automating data collection and curation (e.g., adversarial prompts for model red-teaming) to support AI training and evaluation.
* Integrate research into production by implementing the latest generative AI advancements (including white?box LLM development), integrating different models and agents, and developing evaluation frameworks (e.g., agentic reasoning tests) as part of our automated workflows.
* Deploy GenAI models from repositories such as HuggingFace onto our AWS platform, connect them to data pipelines, and automate end?to?end processes for prompt generation, labeling, and response evaluation.


About ActiveFence:
ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.

we are looking for a Senior Software Engineer to join the ride as we spearhead the next revolution in electronics!
Responsibilities

Develop and maintain robust, scalable, and secure Java-based software solutions
Collaborate with product managers, architects, and other engineers to design and implement new features
Build and optimize data processing pipelines for high-volume analytics applications
Ensure software quality through code reviews, unit testing, and integration testing
Participate in architectural decisions, contributing to the design of cloud-based systems
Monitor and optimize system performance to meet scalability and reliability goals
Troubleshoot, debug and resolve issues in development, staging, and production environments