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We are seeking a highly skilled and motivated Hands-On GenAI Backend Team Lead to join our growing R&D team. In this pivotal role, you'll lead a small, high-impact team in the design, development, and deployment of our next-generation backend services and AI-driven workflows and GenAI applications. You will combine deep technical expertise with leadership, mentoring your team, and maintaining a hands-on approach to coding and architecture.

This role is ideal for a seasoned engineer with a passion for building robust, scalable systems and a proven track record in integrating cutting-edge technologies.

Key Responsibilities

Lead a team of backend developers, providing technical guidance, mentorship, and code reviews.
Architect and build high-performance, resilient, and scalable backend services using Python.
Design and implement end-to-end event-driven architectures utilizing AWS Step Functions.
Lead the integration of LLMs using AWS Bedrock to create innovative, AI-powered solutions.
Oversee the entire software development lifecycle, ensuring best practices for code quality, testing, and deployment.
Collaborate with product, data science, and other engineering teams to translate business requirements into technical solutions.
Maintain a hands-on role in coding, system design, and technical problem-solving.

seeking a skilled Salesforce Solution Architect to join our team. As a Salesforce Solution Architect, you will design and implement Salesforce solutions for our clients. You will collaborate with various stakeholders to understand business requirements and translate them into scalable and efficient Salesforce solutions. The ideal candidate will have a solid technical background in Salesforce, with demonstrated expertise in architecture design and implementation. We want to hear from you if you are passionate about Salesforce and enjoy working in a dynamic and challenging environment.

Responsibilities:

Designed and implemented Salesforce solutions for clients, ensuring scalability, efficiency, and best practices
Collaborate with stakeholders to understand business requirements and translate them into technical solutions
Lead and participate in project planning and estimation activities
Provide guidance and mentorship to development teams on Salesforce best practices and design patterns
Collaborate with cross-functional teams to integrate Salesforce solutions with other systems
Identify and resolve technical issues and challenges, driving continuous improvement and optimizing Salesforce solutions
Stay up-to-date with Salesforce platform updates, new features, and industry trends to provide innovative and effective solutions

looking for a Senior DevOps Engineer. The primary role of the Senior DevOps Engineer is to design and deploy complex cloud environments for customers, utilizing innovative automation tools and cutting-edge technologies. As a Senior DevOps Engineer, you will be responsible for setting up, maintaining, and evolving the AWS cloud architecture, supporting infrastructure monitoring and alerting, troubleshooting issues, and developing the required automation for our customers.

The DevOps Engineers work with the latest cutting-edge technologies, and these are some of the technology stacks that we perfect daily for our customers: AWS, Docker, Kubernetes, Jenkins, CI/CD, Terraform, Ansible, Lambda, Python, Go, AI/ML, Big data, IoT, and much more, while playing 8-Ball and Nintendo Switch.



Summary of Key Responsibilities

Assist in creating a tailor-made architecture
Managing multiple customer environments, working around industry best practices.
Acting as a trusted advisor for our customers
Deployment of advanced services on the cloud
Implement automation solutions
Maintain a feedback loop with the companys customers to ensure deliveries are following the customers needs and expectations
Debug, troubleshoot, and fix technical issues
Set up large-scale monitoring and logging solutions

As a Data Presales, you will work closely with Data Architects, Engineers, and Project Managers. Perform feasibility analyses, present data use cases, simplify and hold presentations in front of IT and non-IT people, and position the topic of data and AI with customers.



Responsibilities:

Support the Sales team by explaining opportunities in Big Data, Analytics, AI, and ML.
Guide clients to understand data: opportunities, threats, and action plans.
Conduct interviews, brainstorming sessions, and workshops with client teams and executives on data-related topics and projects.
Develop strategic and action plans.
Collaborate with external vendors and partner technologies.
Comprehensive project and team management of Data Scientists, Engineers, and other stakeholders.
Be an online and offline ambassador for the AllCloud data practice.

We are seeking a highly skilled Gen AI software engineer to design, develop, and deploy state-of-the-art, scalable, efficient Gen AI solutions. You will be part of a high-performing engineering team that values collaboration, innovation, and teamwork. This role is perfect for someone who thrives in an environment where ideas are shared, challenges are met together, and success is a collective achievement.



Responsibilities

Designed and implemented Gen AI platform components using Python and modern microservices.
Drive engineering and operational excellence and best practices.
Collaborate with tech, product, program, and business peers to deliver customer value and drive product vision.
Drive the end-to-end development of AI systems, from research and experimentation to deployment and scaling
Mentor and support engineers, fostering a culture of collaboration, knowledge-sharing, and continuous learning
Analyze complex problems and identify and define the requirements to solve them.
Apply DevOps principles to maintain high-performance and scalable AI systems.
Design and implement secure APIs, ensuring data protection and safe interaction with AI models.
Stay updated on the latest Gen AI trends and technologies, bringing fresh ideas to the team

As a Pre-Sales Solution Architect, you will be responsible for providing presale support to our clients, including demonstrations, documentation, proof-of-concept presentations, and other technical materials. You will also work closely with our delivery and sales teams to ensure that client requirements are fully understood and integrated.

As a trusted customer advocate, the Pre-Sales Cloud Solution Architect helps customers work with AWS cloud to adopt advanced cloud-based solutions and migrate existing on-premise workloads to the cloud. In this role, you will have the opportunity to help shape and execute a strategy to build mind share and broad use of AWS technologies.



Summary of Key Responsibilities

Collaboration with the sales and account managers to identify and understand customer needs, pain points, and business objectives
Provide technical expertise and guidance to customers, demonstrating a deep understanding of AWS services, cloud architectural best practices, and migration strategies
Design and develop innovative cloud solutions tailored to meet customers' needs, considering cloud best practices with an emphasis on security principles such as Zero Trust and Least Privilege.
Conduct and lead technical presentations to showcase the value and capabilities of AWS cloud solutions
Prepare and deliver proposals, technical documentation, and presentations that effectively communicate solution architectures to clients, including a detailed description of the Security Architecture.
Collaborate with internal teams, including solution architects, devops, and project managers, to ensure seamless transition from pre-sales to post-sales
Stay up-to-date with the latest AWS services, industry trends, and emerging technologies, continually expanding
Building strong relationships and providing ongoing technical guidance throughout the sales cycle

The ideal candidate is not afraid of data in any form or scale, and is experienced with cloud services to ingest, stream, store, and manipulate data. The Data Engineer will support new system designs and migrate existing ones, working closely with solutions architects, project managers, and data scientists. The candidate must be self-directed, a fast learner, and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or re-designing our customers data architecture to support their next generation of products, data initiatives, and machine learning systems.





Summary of Key Responsibilities



To meet compliance and regulatory requirements, keep our customers data separated and secure.
Design, Build, and operate the infrastructure required for optimal data extraction, transformation, and loading from a wide variety of data sources using SQL, cloud migration tools, and big data technologies.
Optimize various RDBMS engines in the cloud and solve customers' security, performance, and operational problems.
Design, build, and operate large, complex data lakes that meet functional / non-functional business requirements.
Optimize various data types' ingestion, storage, processing, and retrieval, from near real-time events and IoT to unstructured data such as images, audio, video, documents, and in between.
Work with customers' and internal stakeholders including the Executive, Product, Data, Software Development and Design teams to assist with data-related technical issues and support their data infrastructure and business needs.

Join a team of highly motivated developers to work together to fill growing software and scaling needs
Work on a range of customer-facing and internal projects, including scaling up our web-based and infrastructural software and internal security and insurance tools
Directly work on matters that are critical to the company, building software that is used actively by our insurance team and our customers whilst solving challenging software problems
Writing well-tested, organized and robust code to support a rapidly growing organization
Proactively taking on software tasks to give efficient turnaround to the requirements of the rest of our international company
Work in a modern software environment with continuously deployed and integrated code in our cloud-based infrastructure
Taking responsibility of your code, quickly responding to bugs and making sure new and existing software runs smoothly
Communicating and working openly with other developers to solve problems and produce high-quality code

As a Data Infra engineer, you will provide creative solutions for data-related problems at scale by mixing in-house and open source technology such as Kafka, Spark, Snowflake and more. You should be a Team player, a quick learner, and have a Can Do approach.



Responsibilities

Join a team of highly motivated developers to work together to fill At-Bays growing software and scaling needs
Writing well-tested, organized, and robust code to support a rapidly growing organization
Work in a modern software environment with continuously deployed and integrated code in our cloud-based infrastructure
Communicating and working openly with other developers to solve problems and produce high-quality code
Create, maintain and own the core company data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at At-Bay
Consistently evolve data model & data schema based on business and engineering needs
Implement systems tracking data quality and consistency
Develop tools supporting self-service data pipeline management (ETL)
Work with stakeholders including ML Engineering, Product, Data analytics, Cyber Engineers, Risk teams and R&D teams to assist with data-related technical issues and support their data infrastructure needs.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Data-driven insights. Help identify new products and opportunities for the company in diverse domains.
Develop Machine Learning models. Define requirements & combine data from a wide set of sources to develop ML/DL models that will automate and speed up our business processes.
End to end model management. Conduct in depth research, POC, write production-grade code and implement it (all the way to production) using our MLOps Infra to solve a diversity of business problems

You will join a team of highly motivated developers to work together to fill growing software and scaling needs.
You will work on our cutting-edge Security SaaS product that redefines risk management and helps SMBs stay protected.
Work directly on matters that are critical to the company, building a security product that is actively used by 10,000+ users, while tackling complex and challenging engineering problems.
You will write well-tested, organized and robust code to support a rapidly growing organisation.
You will work in a modern software environment with continuously deployed and integrated code in our cloud-based infrastructure.
Take responsibility for your code, quickly responding to bugs and making sure new and existing software runs smoothly.
Youll work closely with product managers, designers, QA experts, architects, and experienced developers to build cutting-edge solutions.

We are now seeking a Product Analytics Team Leader to manage and grow a team of four exceptional product analysts. In this role, you will be responsible for scaling analytics capabilities, driving high-impact insights that inform product strategy, and guiding experimentation efforts across the organization. Youll serve as a strategic thought partner to senior product and business leaders, ensuring the effective use of analytics tools and methodologies. This position requires a strong understanding of product development, a deep analytical mindset, and excellent leadership skills.



Responsibilities

We are looking for a hands-on, experienced analytics leader who will:

Lead, mentor, and develop a team of 4 product analysts, fostering a culture of curiosity, critical thinking, and continuous learning.
Define and evolve At-Bays product analytics strategy, including KPI frameworks, event tracking standards, and experimentation processes.
Partner closely with product managers, engineers, designers, and senior stakeholders to identify key business questions, translate them into analytical projects, and deliver insights that shape product roadmaps and strategic decisions.
Promote analytics excellence by driving best practices in data instrumentation, experimentation design, statistical analysis, and business storytelling.
Lead the development and maintenance of dashboards and A/B testing frameworks to evaluate user behavior, feature performance, and product-market fit.
Conduct and oversee in-depth analysis of product usage, customer journeys, and market trends to uncover opportunities and solve critical product challenges.
Translate complex data findings into clear, actionable recommendations, effectively communicating insights to technical and non-technical audiences.
Stay current with trends in product analytics, data tooling, and emerging technologies to continuously raise the bar for the team and the broader product organization.
Champion data-driven decision-making throughout the product lifecycle-from ideation and development to launch, iteration, and sunset.

This is a hands-on role where youll collaborate with product managers, data teams, architects, and fellow engineers to deliver innovative, high-impact solutions in a modern, cloud-native environment.

Responsibilities
Design and implement robust, high-throughput event-driven services and complex features in a cloud-based, microservices environment.
Own features end-to-end, from architectural design and estimation through deployment and continuous improvement.
Collaborate closely with cross-functional teams (Product, Data, Core Architecture) to ship high-quality solutions quickly.
Partner with the Product team to convert ambiguous requirements into concrete, well-defined technical specifications.
Maintain high standards of code quality, proactively troubleshoot issues, and ensure smooth operation of new and existing systems.
Provide technical leadership and mentorship, driving code quality standards and contributing to the teams roadmap.
Implement advanced monitoring, distributed tracing, and alerting for system health and incident response.

This is a hands-on role where youll collaborate with product managers, data teams, architects, and fellow engineers to deliver innovative, high-impact solutions in a modern, cloud-native environment.

Responsibilities
Design and implement robust, high-throughput event-driven services and complex features in a cloud-based, microservices environment.
Own features end-to-end, from architectural design and estimation through deployment and continuous improvement.
Collaborate closely with cross-functional teams (Product, Data, Core Architecture) to ship high-quality solutions quickly.
Partner with the Product team to convert ambiguous requirements into concrete, well-defined technical specifications.
Maintain high standards of code quality, proactively troubleshoot issues, and ensure smooth operation of new and existing systems.
Provide technical leadership and mentorship, driving code quality standards and contributing to the teams roadmap.
Implement advanced monitoring, distributed tracing, and alerting for system health and incident response.

Overview:

We are looking for a hands-on senior engineer to own the end-to-end productionization of Real-Time video systems and AI pipelines.

This role is not research and not model invention.

You will take existing computer vision models and algorithmics and integrate them into production, turning them into high-performance, scalable, production-grade systems running across hundreds of concurrent video streams on GPU and edge hardware.

You will work at the intersection of:

Python microservices backend development
video streaming using GStreamer and NVIDIA DeepStream
Distributed and multithreaded development
Real-Time inference
AI pipeline/processing optimization
Deploy and accelerate CV and AI models using CUDA, TensorRT, PyTorch, OpenCV

This is a deeply engineering-focused role with real ownership.