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We're looking for a hands-on Engineering Manager to lead a team of senior engineers owning this space end-to-end, from integration design through production ownership. You'll have real autonomy, a direct line from your team's work to customer outcomes, and room to shape how a technically deep domain is built and run.
What you'll own:
Lead and grow a team of engineers, creating clarity on priorities, raising the technical bar, and building real domain ownership
Own execution end-to-end: integration architecture, technical design, delivery predictability, and the operational health of systems that sync critical financial data at scale
Drive reliability and data correctness, strong debugging and sound judgment around sync semantics, idempotency, error handling, and recovery, plus calm decision-making when something breaks in production
Make sure your engineers understand the business and the ERPs behind the systems, the financial flows and edge cases, not just the code
Translate business goals and the realities of messy, heterogeneous ERP systems into pragmatic technical plans
Partner closely with Product, Operations, Support, and other engineering teams to deliver integrations that balance customer impact, time-to-value, and quality
Coach engineers through feedback, mentoring, and high standards

we are looking for a Senior Site Reliability Engineer (DevTools)
Your responsibilities will include:

Improving services based on user feedback

Building fault-tolerant, self-healing architecture

Finding ways to speed up our systems and reduce user friction

Modifying well-known closed- and open-source solutions Supporting our users

Ensure fault-tolerance, scale, and uninterrupted operations for the service.
Use cutting-edge cloud technology to solve a variety of infrastructure problems.
Implement and improve CI/CD processes.

We're looking for a Software Engineer to join our core engineering team and help build the infrastructure behind one of the fastest-growing AI APIs. You'll work on systems that handle massive scale across a distributed microservices architecture running on AWS. You'll ship fast, take ownership of critical systems, and solve hard infrastructure problems as we grow.

This is a great role for an engineer who loves building ambitious systems from scratch, and wants to tackle the kind of scale and complexity challenges typically reserved for much larger companies.

What Youll Do

Design and build high-performance distributed systems

Design and implement backend infrastructure and API endpoints

Build and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors

Improve performance, monitoring, and reliability across the stack

Own core systems and contribute to key architectural decisions

Help shape a strong engineering culture focused on velocity and quality

As a Software Engineer - Scraping Specialist, youll build the systems that power how AI interacts with the live web. Youll design and implement large-scale, intelligent web acquisition pipelines, making sense of an ever-changing online ecosystem and transforming it into structured, high-quality data.

This role blends technical understanding of browsers, networks, and automation with hands-on engineering. Youll work on adaptive systems that navigate modern websites, understand evolving web interaction ,detection systems, and gather meaningful information safely, efficiently, and at scale.

Your work will directly shape ability to provide AI agents with accurate, real-time knowledge of the world , bridging the gap between the open web and intelligent reasoning.

What Youll Do
Build distributed data acquisition systems that capture and structure the live web
Investigate and analyze browser internals, fingerprinting, and anti-automation systems to develop stealthy, adaptive orchestration layers
Prototype and deploy intelligent automation frameworks using Playwright, Puppeteer, and low-level browser control protocols (CDP)
Conduct hands-on research into network flows, JavaScript-based protections, and emerging web standards affecting automation
Collaborate with AI and infrastructure teams to integrate real-time web data into retrieval pipelines and LLM-powered agents
Translate deep technical insights into production-grade components, balancing research freedom with engineering rigor
Continuously evolve capabilities in resilience, speed, and authenticity of web interaction

Were looking for a Backend Engineer to contribute to the development of our hyperscaler platform.

Your responsibilities will include:

Develop fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

This role will require expertise in distributed systems to build large-scale LLM training platform.

Your responsibilities will include:

Designing and developing LLM training platform.
Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
Improving job scheduling strategies to minimize resource fragmentation.

Were looking for a Technical Program Manager who thrives in the middle of the action - someone who gets energized by complexity and turns it into clarity.
In this role, youll take complex, cross-functional engineering projects from messy beginnings to clean finishes, and drive every stage: scoping, planning, execution, delivery, and retrospective. You see AI not as a shortcut, but as a core part of how great program management gets done, and you actively design your workflows around it.
This is an AI-native environment - models ship fast, priorities shift, and what's possible changes week to week. You'll thrive here if ambiguity is fuel, not friction.
In this role, you will be responsible for:
Drive end-to-end ownership of complex, cross-functional engineering projects - from the first brainstorming session to post-launch retro
Design and supervise agentic workflows that automate status collection, risk surfacing, dependency tracking, and comms - so you operate at a higher level, not just faster
Build and manage AI-assisted program workflows that reduce coordination overhead and improve program visibility at scale
Spot bottlenecks before they become fires, and personally drive them to resolution
Map and manage cross-team dependencies so nothing blindsides anyone
Build and track key metrics that give real visibility into how engineering is performing
Apply sound judgment on escalations, stakeholder reads, and cross-team trust - the things AI surfaces but cant resolve
Identify opportunities for collaboration and innovation across teams - connecting dots others miss
Constantly communicate progress and status to stakeholders and management

We're hiring a Technical Enablement Specialist to own the rollout and adoption of AI and engineering, product and design enablement across our Product-Technology org. This is a sole-function, high-impact role - you will be the person who takes approved strategy and turns it into real execution, visible adoption, and measurable outcomes. This role reports directly to the Director of Product-Engineering Operations.
If you are a get-it-done person who loves working with people, knows how to drive change without heavy process, and is excited about where AI is taking software development - this role was written for you.
About the Role:
Lead AI adoption across Product-Technology - own the rollout of AI tools, agents, and AI-first practices; identify blockers and drive follow-up actions to move toward higher AI-generated code
Drive Agentic SDLC adoption - translate approved solutions and guidelines from Leadership into practical, consistent rollouts, including the POC framework and experimentation guidelines
Build scalable enablement programs - use AI to design and produce learning assets, workshops, and self-serve resources that keep pace with a fast-moving engineering org
Own knowledge management - maintain Confluence as the single source of truth for AI and engineering enablement; close content gaps with documentation, playbooks, and best practices
Foster a culture of continuous learning - coordinate the Engineering Forum, Engineering Guild, Product Guild, and AI community channels; identify opportunities for growth and keep the org current on AI tooling and industry trends
Partner with leadership and measure impact - collaborate with Product-Technology leadership to anticipate needs, define success metrics, and continuously improve programs based on data and feedback

Who We Are: Incredibuild is the leading platform empowering developers and enterprises to radically accelerate their development cycles. We help world-leading brands like Microsoft, Citi Bank, GM, Amazon, and Adobe shorten build times, allowing for more iterations, faster product releases, and significant resource savings. Our technology streamlines and accelerates everything from compilation to release automation, dramatically expediting time to market for our clients. You aren’t just "fixing CI/CD pipelines" - you are building a robust Internal Developer Platform (IDP) and creating the tools that enable our engineers to ship high-performance code at scale. If you love writing clean code and get equally excited about a perfectly orchestrated Kubernetes cluster or an elegant Terra grunt module, you’ll fit right in.
What you'll do: Architect & Build: Take full ownership of our infrastructure, from backend services to cloud resources. Empower Developers: Develop and maintain our homegrown IDP , ensuring a seamless "golden path" for engineering teams. Scale the Stack: Design and manage scalable, reliable environments using AWS, Argo CD, and Helm. Automate Everything: Build sophisticated CI/CD workflows using GitHub Actions and manage stateful infrastructure with Terra grunt. Innovate: Evaluate and integrate new CNCF tools and internal utilities to keep our platform at the cutting edge.

Our R&D team is growing! We have new positions for the best SW developers who want to join a brilliant team and lead a revolution. We are searching for creative software developers with a passion for inventing and designing software and a curiosity and desire to learn. Join us and change the way we cloud!

Responsibilities
We are seeking a strong developer interested in developing a unique, scalable, distributed system.
We are working in a highly multithreaded environment with uncompromised performance.
Develop core Object-oriented software in C. Bring your software engineering skills to our dynamically growing organization.
Take part in the entire product cycle, from architecture and design to enterprise-level products.

We are looking for a Security C++ Software Engineer to join our R&D organization and take part in developing high-end security technologies that protect critical business infrastructures from network and application downtime, application vulnerability exploitation, and emerging cyber threats.

You will join a highly skilled engineering team focused on building the next generation of cybersecurity defense systems, as well as enhancing the effectiveness and control of existing capabilities.

This role offers the opportunity to work in one of the most challenging and fast-evolving domains in cybersecurity, delivering cutting-edge solutions to customers worldwide.

What will you do?
Be part of a small, highly technical team responsible for designing and developing our cross-platform security products, with a strong focus on virtualization solutions.
Gain deep familiarity with the application code and serve as a focal point for R&D technical discussions and design decisions.
Develop advanced techniques to prevent cyberattacks by inspecting network traffic across all layers (Layers 2-7).
Ensure that applications run efficiently in virtualized and cloud environments, as well as on high-end platforms supporting multi-gigabit traffic.

We are looking for an MLOps Software developer to help us design and implement our large-scale platform using the most up-to-date technologies.
What will your job look like:
Collaborate with algorithm developers to research, develop, and deploy machine learning models at a large scale.
Leverage our data sources and cloud computing to build an infrastructure that process terabytes of data to improve our machine learning models.
Perform software research, development, evaluation, and optimization.
Design and implement large scale systems.

We are searching for a skilled and motivated Algorithm & Software Engineer to join our Calibration Team. The Calibration Team is an integral part of the Geometry Group within the R&D department. We develop cutting-edge computational geometry products for our systems, essential for understanding vehicle surroundings and advancing Autonomous Vehicles and Advanced Driving Assistance Systems.
Our team's focus is on camera calibration functionalities. The foundation of all our algorithms is rooted in classic theoretical concepts that include diverse topics in mathematics and physics such as projective geometry, algebra, and optics. Given the wide-reaching impact of our work, these fundamental principles are translated into code, which must meet stringent real-time requirements, delivering both high accuracy and efficiency. To accomplish this, we actively utilize various profiling tools and techniques to continuously enhance the performance of our software solutions.
In addition, our team is gradually incorporating Machine Learning approaches to complement traditional methods and explore new ways to improve calibration accuracy.
We place a strong emphasis on the development of clean, well-documented, and testable code in order to produce robust and dependable software solutions. We are looking for individuals who share our commitment to code quality and recognize the significance of these practices.
What will your job look like:
Implement, deploy, and maintain algorithms in classic computational geometry.
Develop high-quality code primarily in C++, Python and occasionally using MATLAB.
Design and maintain real-time oriented code that meets stringent memory and runtime requirements.
Collaborate effectively with other teams.

Were looking for a technical professional, with proven experience for building secure, scalable artificial intelligence systems as well as data-for-AI solutions. In this role you will develop our cutting-edge AI Data platforms used by world-leading brands.
Responsibilities:
Data Pipelines: Clean, preprocess, and analyze large datasets to ensure high-quality inputs and results.
Deployment & Integration: Help deploy AI agents into production environments and integrate them into existing workflows.
Monitoring & Optimization: Evaluate model performance, test for accuracy, and tweak algorithms for continuous improvement.
Documentation: Maintain clear documentation for AI model architectures, data pipelines, and deployment processes
Scale: Build highly scalable solutions that can leverage large data sets effectively