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As a Senior software engineer, you will take part in building scalable, high-performance systems that power some of the largest digital marketing platforms in the world.
Design and implement end-to-end features and products, spanning from backend (including databases) to client-facing components.
Tackle complex and large-scale technical challenges in cutting-edge, high-performance systems.
Collaborate closely with Product Managers and fellow Engineers to deliver high-quality, impactful solutions.
Provide technical mentorship and support to team members, fostering a culture of learning and growth.
Analyze and optimize the performance, scalability, and reliability of Skais products, infrastructure, and internal tools.
Stay up-to-date with emerging technologies and propose innovative ideas to continuously enhance our product offerings.

Join abra as a Medium Backend Developer, specializing in AWS solutions. Backend Developer responsible for developing application server-side components, with ownership of complex process development in a cloud-based environment.

What youll be doing
As a BI Engineer on our team, you'll collaborate with talented professionals dedicated to pushing boundaries and creating advanced solutions. You'll also play a key role in pioneering the adoption of cutting-edge AI-driven tools and processes, proactively advocating for innovative solutions, LLM-based scripting, and efficient AI workflows. Your early-adopter mindset will be essential in shaping the future of data-driven excellence at our company.
Collaboration and Communication: Work closely with data analysts, data scientists, tech, finance and business stakeholders to understand their data requirements to build and deliver data infrastructure, reports and insights that meet their needs.
ETL Processes: Develop highly scalable complex data pipelines to integrate data from multiple sources, ensure that data is accurately extracted from source systems, transformed into the required format, and loaded into the data warehouse (DWH) (using DBT, Git). It also includes verification and monitoring of data quality (Elementary).
Implement GenAI solutions: As part of the job, you will implement new solutions and tools to improve the efficiency of the teams, support self-service for the users and provide insights easily, automatically and quickly.
Data modeling: Responsible for the model, design, implementation, maintenance and improvement of the data warehouses, as well as ensuring the integrity and security of data. Support users needs, including performance and monitor cost
Business Analytics Tools: Design and implement BI tools across the company. Troubleshooting and optimizing the tools and systems to improve performance. This includes ensuring that the reports and dashboards are running efficiently and meeting the user's needs (using ThoughtSpot, Hex)
Staying Updated with Industry Trends: Keep up with the latest trends and technologies in data solutions, analytics and business intelligence to ensure that our company stays ahead in leveraging data for business decisions. Continuously questioning assumptions, processes, and outcomes to uncover hidden opportunities or potential issues.

What you will be doing
As the ML Platform Engineering Manager, you'll lead a team of backend engineers building our company's AI infrastructure. Your team bridges research and production, taking cutting-edge ML and generative AI models from our research teams and turning them into scalable systems that power AI features for millions of users.
The ML Platform team owns the complete AI pipeline - from research prototype to production deployment. You'll build and maintain a high-performance inference platform that serves models at scale, enabling faster research iteration and seamless user experiences across our apps.
This role requires both technical leadership and people management skills. You'll make key architectural decisions for complex distributed systems while growing and mentoring your engineering team. Success means delivering reliable, scalable AI infrastructure that supports our rapid growth in a fast-paced environment.

As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of our companys machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering our company's next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.
Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve the usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stack-from Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads.

The CRM Division within the Microsoft Activity at abra is looking for a skilled Microsoft Dynamics CRM Developer to join our team, contribute to innovative projects, and make a real impact in a dynamic and professional environment.
* Development and customization of Microsoft Dynamics CRM (On-Premises and Online).
* Implementing Workflows, Activities, Email Configuration, and system extensions.
* Client-side and server-side development, including version deployments across environments.
* Designing and developing integrations with external systems using APIs and web services.
* Collaborating with cross-functional teams to deliver high-quality solutions.

we are looking for a Data Integration Engineer.
As a Data Integration Engineer , you will use technical skills, analytical insights, and a business perspective to ensure we have the most accurate and complete data from each client to feed our data science models. You will be responsible for helping new and existing customers ensure they are receiving the best performance possible and leading the charge in processing the data of the largest eCommerce merchants in the world.
What You'll Be Doing:
Maintain/manage merchant data configuration layer of platform (automated data tagging, transformation, filtering, etc.)
Combine technical, business, and analytical objectives to come up with tailored solutions for onboarding merchants
Perform due diligence on merchant websites, business models, and data flows
Generate tailored data templates (JSON, CSV) to help guide merchant developers/data teams in building high-quality online (API) and offline (file transfer) integrations.
Write queries and scripts using Python, SQL, Spark, Databricks, or R to test, validate, and detect data issues in API calls within both sandbox and production environments. Additionally, transform and upload large historical data files to APIs
Ad hoc data wrangling and sanitization
Monitor automated data alerts - prioritize, track, and communicate merchant data issues/irregularities with internal and external stakeholders
Work closely with analysts, research, and data science teams to accommodate changes in industry data
Identify, research, and offer system-wide solutions for common data issues
Work closely with client-facing teams to engage customers regarding their data integrations
Support R&D, Product Management, Data Science, Integrations Engineering, Account Management, and Sales as a subject matter expert of product, technology, and merchants

We are seeking a driven, solution-oriented Salesforce Analyst with a deep understanding of platform architecture and a passion for enhancing business performance. In this role, you wont just be "fixing tickets"-you will be a strategic partner to our Sales, Marketing, and Customer Success teams. You will translate complex business needs into elegant, scalable technical solutions that adhere to Salesforce best practices.
What You'll Be Doing:
Lead cross-organizational projects designed to increase efficiency across Sales, BDR, Marketing, and Partner relations.
Work closely with global business leaders to gather requirements, provide system support, and understand the unique nuances of different regional teams.
Architect creative solutions to complex technical challenges, leveraging Salesforces latest features to solve high-impact business problems.
Execute end-to-end configuration, including advanced Flow automation, custom objects, data modeling, and system integrity checks.
Continuously assess our Salesforce instance to identify bottlenecks and implement "best-in-class" improvements that support a rapidly growing SaaS organization.

We are looking for a QA Automation Engineer to join our QA Automation team within the R&D group. As a QA Automation Engineer, you are a software Developer in every sense. In this role, you will work closely with members of the SQA Automation and SQA Manual Testing teams to improve the quality and reliability of our software products. You will design, implement, and maintain automated tests, take an active role within the QA department, and own both progression and regression automated TEST coverage. You will develop and maintain a software product whose purpose is to validate, verify, and ensure the reliability, stability, and quality of other software systems. Automation code is expected to meet production-level standards of design, scalability, maintainability, and reliability. Your responsibilities will include:
* Expanding automated TEST coverage: Designing and implementing new automated TEST cases to ensure comprehensive system validation.
* Developing and maintaining automation scripts: Writing robust, reusable, and efficient TEST scripts that support CI/CD processes.
* Updating and refining existing tests: Reviewing and enhancing current TEST cases to improve accuracy, stability, and performance.
* Cross-team collaboration: Working closely with developers, SQA engineers, and product managers to understand requirements and ensure testability.
* Driving testing innovation: Exploring and introducing new tools, technologies, and frameworks to improve automation efficiency and effectiveness.

We are looking for a DevOps Engineer with strong development skills to join our Developer Experience (DevX) team. Were a hybrid DevOps and development team focused on building and operating internal tools, infrastructure, and services that streamline engineering workflows and accelerate delivery across the company.
We are the team behind the Dynamic Environment Kubernetes Operator, which empowers teams to spin up ephemeral, on-demand environments for development, testing, and validation. You can learn more about the project here.
As part of the DevX team, youll own both infrastructure and application-level responsibilities. This includes the microservices we build and run, as well as internal platforms like Retool, which we maintain and extend to support our organizations needs. Youll work across automation, infrastructure-as-code, and backend development to deliver high-impact tools used daily by engineers across the company.
What You'll Be Doing:
Build and maintain CI/CD pipelines that enable fast, reliable, and secure deployments.
Contribute to the development of our Kubernetes operator and other supporting services.
Own and evolve infrastructure components using infrastructure-as-code (e.g., Terraform, Pulumi, Helm).
Develop and maintain internal microservices that support platform capabilities and developer workflows.
Maintain and extend internal tools like Retool, enabling teams to build internal apps and dashboards efficiently.
Implement observability best practices through monitoring, logging, and alerting.
Collaborate with engineering teams to identify bottlenecks and deliver scalable, automated solutions.
Drive adoption of DevOps best practices, including GitOps, progressive delivery, and shift-left testing.

we are looking for a DevOps Engineer.
As a Senior DevOps Engineer in our Cloud Applications team, youll play a key role in shaping and scaling our internal tools and cloud infrastructure. Youll design and implement robust CI/CD systems, build developer tools that streamline delivery and operations, and champion best practices in automation and reliability.
Youll collaborate closely with developers, DevOps colleagues and other engineers to ensure our services are efficient, secure, and highly available. This is a hands-on role with high visibility, technical ownership, and the opportunity to drive innovation across our engineering organization.
What You'll Be Doing:
Own and evolve our CI/CD platform - maintain and improve pipelines that enable rapid, reliable, and safe delivery of applications to production.
Develop and enhance our internal tooling ecosystem - design and implement automation tools that empower developers and simplify operational workflows.
Design and maintain umbrella Helm charts - manage reusable and scalable Kubernetes deployments, ensuring best practices in configuration management.
Contribute to system reliability and performance improvements - through observability, metrics, and continuous optimization.
Collaborate and support development teams - act as a trusted advisor by providing training, documentation, and guidance on how to best use our platform and tools.
Troubleshoot and resolve infrastructure issues - apply deep debugging and problem-solving skills to maintain platform stability and performance.

We are looking for a DevOps Engineer with strong development skills to join our Developer Experience (DevX) team. Were a hybrid DevOps and development team focused on building and operating internal tools, infrastructure, and services that streamline engineering workflows and accelerate delivery across the company.
We are the team behind the Dynamic Environment Kubernetes Operator, which empowers teams to spin up ephemeral, on-demand environments for development, testing, and validation. You can learn more about the project here.
As part of the DevX team, youll own both infrastructure and application-level responsibilities. This includes the microservices we build and run, as well as internal platforms like Retool, which we maintain and extend to support our organizations needs. Youll work across automation, infrastructure-as-code, and backend development to deliver high-impact tools used daily by engineers across the company.

We are looking for a DevOps Engineer with strong development skills to join our Developer Experience (DevX) team. Were a hybrid DevOps and development team focused on building and operating internal tools, infrastructure, and services that streamline engineering workflows and accelerate delivery across the company.
We are the team behind the Dynamic Environment Kubernetes Operator, which empowers teams to spin up ephemeral, on-demand environments for development, testing, and validation. You can learn more about the project here.
As part of the DevX team, youll own both infrastructure and application-level responsibilities. This includes the microservices we build and run, as well as internal platforms like Retool, which we maintain and extend to support our organizations needs. Youll work across automation, infrastructure-as-code, and backend development to deliver high-impact tools used daily by engineers across the company.
What You'll Be Doing:
Build and maintain CI/CD pipelines that enable fast, reliable, and secure deployments.
Contribute to the development of our Kubernetes operator and other supporting services.
Own and evolve infrastructure components using infrastructure-as-code (e.g., Terraform, Pulumi, Helm).
Develop and maintain internal microservices that support platform capabilities and developer workflows.
Maintain and extend internal tools like Retool, enabling teams to build internal apps and dashboards efficiently.
Implement observability best practices through monitoring, logging, and alerting.
Collaborate with engineering teams to identify bottlenecks and deliver scalable, automated solutions.
Drive adoption of DevOps best practices, including GitOps, progressive delivery, and shift-left testing.