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The Role Were looking for a Mid-Level DevOps Engineer to join our growing team and take part in designing, building, and operating scalable, secure, and automated AWS-based infrastructures. Youll work in a fast-paced environment, using advanced, cloud-native technologies, and have direct interaction with customers - understanding their challenges, designing solutions, and guiding them from architecture to production. Responsibilities Build and manage Infrastructure as Code (IaC) using Terraform Develop and optimize CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins, etc.) Design, deploy, and maintain containerized environments using Docker & Kubernetes (EKS) Design and implement scalable, secure, and cost-efficient AWS architectures Work directly with customers to gather requirements, design solutions, and provide hands-on technical guidance Lead and support cloud modernization projects, including migrations and replatforming Monitor and improve system reliability using observability tools Troubleshoot complex production issues in dynamic, high-velocity environments Apply cloud security best practices (IAM, encryption, networking, compliance)

we are looking for a Staff AI Engineer! our company looking for a Staff AI Engineer to help build a next-generation agentic analytics platform, the first Real-Time database optimized for AI agents at scale. This role focuses on building the Developer -facing platform around the core database engine - enabling seamless integration with AI agent frameworks (LangChain, PydanticAI, and others), as well as external systems via connectors, plugins, and SDKs. What Youll Do
* Design and build MCP APIs and core backend services around KeewanoDB
* Develop and maintain SDKs ( Python, TypeScript, Go, Rust)
* Build connectors and plugins for AI agent platforms (LangChain, PydanticAI, others)
* Design clean, scalable, and ergonomic Developer -facing APIs
* Own integration infrastructure (auth, streaming, event pipelines, webhooks)
* Build and optimize Real-Time data flows between agents, services, and the database
* Collaborate closely with database engineers to expose powerful capabilities through well-designed APIs
* Ensure reliability, observability, and performance of all external-facing systems

we are looking for a Staff AI Engineer! we are looking for a Staff AI Engineer to help build a next-generation agentic analytics platform, the first Real-Time database optimized for AI agents at scale. We are looking for a Staff AI Engineer to lead the design of data -driven models and analytical systems powering agentic analytics. This role focuses on causal inference, time-series modeling, and large-scale data analysis, working on Real-Time, high-dimensional datasets. What youll do:
* Design and implement causal inference models to understand and drive decision-making
* Develop time-series models for Real-Time analytics and forecasting
* Build Machine Learning models on large-scale, structured and unstructured data
* Define statistical methodologies for agentic analytics and decision systems
* Work closely with AI and engineering teams to integrate models into production systems
* Analyze complex datasets and extract actionable insights
* Design experiments, evaluation frameworks, and data -driven feedback loops
* Contribute to the overall data science strategy and architecture

abra R&D is looking for a Senior Embedded Engineer! abra R&D is looking for an Embedded Engineer to help build the first real-time database purpose-built for AI agents at scale. Designed around time-series and unstructured data, it leverages a custom storage format optimized for append-heavy, real-time workloads. Joining the team means working on a high-performance execution engine built with vectorized execution, SIMD, and cache-efficient memory layouts, enabling extreme low-latency and high-throughput performance at scale. The system is engineered to fully utilize modern hardware, with deep optimization across CPU cache layers (L1 / L2 / L3), pushing the limits of real-time data processing. What You’ll Do
* Design and implement core components of the database engine (query engine, execution engine, storage engine)
* Build vectorized execution pipelines optimized for SIMD
* Design and evolve a time-series optimized storage engine (custom on-disk + in-memory formats)
* Work on unstructured / event-driven data representations and efficient indexing/querying strategies
* Own memory layout, compression, and data defragmentation
* Develop cache-aware / cache-efficient data structures with deep understanding of CPU cache behavior
* Implement distributed data primitives: sharding, partitioning, replication, and data locality
* Profile and optimize performance at the CPU level (cache misses, branch prediction, memory bandwidth)

abra R&D is looking for an Algorithms Engineer! abra R&D is looking for an Algorithms engineer who will take part in building the a next?generation agentic analytics platform- a real?time database optimized for AI agents at scale. The product focuses on real?time decision making, causal understanding, and time?series intelligence over large, high?dimensional data streams. This role is about building the algorithmic core of the system- the models and logic that power analytics, forecasting, and decision intelligence in production. What you’ll do:
* Design, develop, and own core algorithms for real?time analytics
* Build causal inference algorithms to model cause?effect relationships and support decision systems
* Develop time?series models for forecasting, anomaly detection, and pattern discovery on real?time data
* Perform algorithmic research: explore approaches, evaluate tradeoffs, and select optimal solutions
* Develop feature engineering and mathematical logic to improve prediction accuracy and stability
* Work with high?dimensional, large?scale, and event?driven datasets
* Define statistical and mathematical methodologies used across the analytics engine
* Integrate algorithms into production systems, with strong focus on performance and reliability
* Design experiments and evaluation frameworks to validate algorithm quality
* Collaborate closely with engineering teams to ensure models run efficiently in real?time environments

abra R&D is looking for a FullStack Engineer! abra R&D is looking for a FullStack Engineer who will take part in building a next-generation agentic analytics platform, a real-time database optimized for AI agents at scale. We are looking for a Full Stack Engineer to build user-facing products and internal tools on top of our AI and data platform. This role combines frontend, backend, and product thinking, with strong ownership over design and implementation. What you’ll do:
* Build and own end-to-end features across frontend and backend
* Develop modern web applications using React and TypeScript
* Design and implement backend services using NestJS
* Translate product and UX requirements into clean, scalable system designs
* Work closely with AI and platform teams to integrate agent-driven capabilities into products
* Build data-rich interfaces for analytics and real-time systems
* Ensure performance, reliability, and usability across the stack

Were looking for a Staff Application Security Engineer to join our IT and Security team. This role is ideal for a hands-on security professional who is passionate about working closely with engineering teams to design secure software, fix vulnerabilities, and promote a culture of security across the organization.

Youll be responsible for shaping and owning our Secure Software Development Lifecycle (SSDLC), managing security tooling, and leading the assessment of application and API security across our products and services.

Here are a few of the things you will do:
Collaborate directly with engineering teams to define remediation strategies, track implementation, and validate security fixes across the application stack.

Design, implement, and drive SSDLC practices across the company-from security design reviews and threat modeling to proactive triaging in production.

Conduct threat modeling, architecture reviews, and security assessments of cloud-based applications and services, including those leveraging emerging technologies.

Manage HoneyBooks bug bounty program, validating reports and coordinating response and resolution.

Own and operate our suite of AppSec tools including SAST, ASPM, and other security scanners-triaging findings, prioritizing issues, and guiding engineering toward resolution.

Review source code and applications to identify vulnerabilities and collaborate with dev teams on remediation.

Act as the point of contact for findings from penetration tests, automated scanners, and external assessments, helping manage triage and ensure timely fixes.

Continuously research and stay current with application security trends, frameworks, vulnerabilities, and best practices.

Promote a strong security culture across HoneyBook by educating and enabling engineers, architects, and DevOps teams to build secure software from the ground up.

1. Integration into planning, deployment and experimentation of projects in the field of fiber optic communication
2. Maintenance, support and upgrades of fiber optic systems integrated with transmission systems
3. Planning and implementation of creative solutions in the field of expertise
4. Working with diverse information systems.

As a Senior Fullstack Engineer on the GenAI Platform Team, you will lead the design, development and maintenance of scalable use- friendly platforms and applications. You will work closely with product teams, data engineers, and AI developers to bridge the gap between advanced AI models and seamless user experiences. This role requires strong expertise in fullstack development with a particular emphasis on React for frontend development as well as building and optimizing backend systems.

Analysis of processes and writing specification documents for development based on user requirements in HR systems including support until production
On-going collaboration with HR, payroll, and IT stakeholders in the organization.
Strong interpersonal skills, communication abilities, and teamwork.
Business understanding, technical leadership, process improvement and optimization, self-learning, and investigation.
The role requires in-depth understanding of various technologies and complex logic
working in a dynamic, agile environment in collaboration with various teams.

As an AI Engineer on our team, you will own end to end development of systems and products, using AI intensively at every stage from architecture trough production.
You'll combine deep systems thinking with hands on technical excellence, collaborating closely with product, UX, and Data teams to turn business goals into scalable, production grade solutions.
This is an AI native role. We are looking for engineers who already work in a vibe coding workflow where AI tools are a core part of your daily development routine.

An experienced aircraft electrical engineer to join our team for a challenging and interesting position.

Infrastructure Management: Design, deploy, and manage large-scale production environments using kubernets and Docker.
Automation & Scripting: Develop sophisticated automation tools and scripts, primarily using Python, to improve operational efficiency.
CI/CD Pipeline Ownership: Build and optimize end-to-end continuous integration and deployment pipelines to ensure rapid and reliable software delivery.
Collaboration: work closely with R&D teams to troubleshoot complex architectural challenges and optimize application performance.
System Integrity: Maintain high availability and security standards across all production and staging environments.