We are actively seeking a highly skilled Senior Software Engineer to join our dynamic team. This role is pivotal for a professional who specializes in designing and building scalable, cloud-native, multi-tenant SaaS infrastructure and backend systems.

Your primary responsibility will be to architect and develop robust backend services, high-throughput data pipelines, and scalable microservices. While your core focus will be on the backend and cloud infrastructure, you will take ownership of the full feature lifecycle-which includes a strong willingness to develop and maintain clear, efficient client-side interfaces to deliver complete end-to-end solutions.
Responsibilities:
End-to-End Ownership: You will take full ownership of the software lifecycle-from architectural design and backend coding to automated deployment and production monitoring. You will champion a 'You Build It, You Run It' culture, ensuring the high availability and observability of our multi-tenant SaaS environment.
Backend & Infrastructure Focus: Design and implement high-performance backend tasks, robust infrastructure, and high-throughput Backend-for-Frontend (BFF) layers utilizing both REST and gRPC protocols to process real-time sensor data and telemetry.
Full-Stack Delivery: Seamlessly transition to front-end development (React) when required, ensuring the backend infrastructure connects smoothly to a streamlined and user-friendly web client.
Automation & CI/CD: Drive feature delivery using Agile methodologies, replacing manual handovers with automated CI/CD pipelines that ensure seamless integration and validation from development to production.

Your Role:

Lead the design and development of complex, high-performance, backend services within the One ecosystem, ensuring modularity and long-term maintainability.

Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.

Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.

Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.

Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.

Take a production-first approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.

What will you actually be doing?
Designing, developing, testing, deploying, and maintaining web applications using modern front-end and back-end technologies, including Node.js, React, TypeScript, JavaScript, and Python.
Leveraging AI-powered development tools such as Claude Code to accelerate development workflows, automate repetitive tasks, and improve code quality.
Leading server-side development using microservices architecture to ensure scalable and robust application performance.
Driving the design and implementation of micro frontend architecture, leveraging the industrys latest trends.
Mentoring junior and mid-level engineers through code reviews, pair programming, and technical guidance.
Collaborating with cross-functional teams, including product managers, designers, and other developers, to define technical direction and deliver high-quality applications.
Making architectural decisions and championing engineering best practices across the team.
Integrating AI and LLM capabilities into development pipelines and product features where applicable.

Required Senior Staff Software Engineer, AI
Job Overview
Come join the team as a Senior Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Rsponsibilities
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits.

We are looking for a highly skilled and motivated Senior II Software Engineer to join the Operational Experience engineering team. The team is part of the Customer Experience group, which is responsible for the platform, tools, and customer-facing experiences that power how our customers interact with our ecosystem. This is a high-impact, hands-on role, in which youll be working closely with product managers, designers, customer-facing teams, and engineering partners across the company.
You will operate at the intersection of backend engineering, data-intensive systems, platform development, and customer experience. The ideal candidate brings strong expertise in Node.js and TypeScript, along with deep experience working with large-scale data stores, event-driven pipelines, data models, and high-throughput infrastructure. You will work closely with cross-functional partners to design and implement robust backend services, data-access patterns, and operational workflows that power the portal and internal tools. As we invest heavily in Agentic AI, you will also play a central role in shaping and implementing AI-driven capabilities across the platform. While the role is primarily backend, you will occasionally contribute across the full stack when it supports end-to-end delivery.
If you enjoy owning complex problems end to end, improving systems at scale, and building experiences that bring real value to customers, we would love to meet you.
What you'll be doing:
Drive technical direction and architecture within the OX team and across the broader CX organization. You will proactively identify opportunities to improve performance, resilience, cost, scalability, and developer experience, primarily in backend systems but with influence across the stack.
Lead the development of AI-driven and Agentic AI capabilities. Define how LLMs integrate into our platform, build AI-powered workflows, and establish strong engineering patterns for safe and reliable adoption.
Own and evolve the data foundations behind the portal. Optimize pipelines, improve data quality and freshness, and design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, MySQL, and related systems.
Work closely with product, design, customer-facing teams, and partner engineering groups. Turn ambiguous problems into clear execution plans and ensure alignment with customer and business goals.
Shape shared standards and platform best practices. Guide other teams on backend services, data integration patterns, portal development approaches, and AI-enabled workflows.
Mentor and elevate engineers across the CX group. Promote engineering excellence, share knowledge openly, and help teams adopt effective modern development practices.
Own delivery of high-impact initiatives. Contribute hands-on when needed, remove blockers, maintain execution momentum, and drive projects from concept to production.

We are looking for a highly motivated Senior Software Engineer to join our group. In this role, you will design and develop large-scale, cloud-native systems that power the global CXone platform.
Beyond building scalable services, we are looking for engineers who embrace AI-augmented development, leverage modern coding agents, and continuously optimize engineering workflows using tools such as Claude Code, GitHub Copilot, and other AI-driven assistants.
You will work in a fast-paced, cloud-first environment where ownership, technical excellence, and intelligent automation are part of everyday engineering.
How will you make an impact?
Quickly onboard to existing systems and become productive in a complex domain
Design, implement, and maintain automation and test frameworks using AWS\Azure technology
Build and evolve performance and scalability solutions
Lead tasks end-to-end, including coordination across R&D, QA, DevOps, and other teams
Drive technical initiatives independently, from requirements to delivery
Analyze system behavior, troubleshoot issues, and lead root-cause analysis
Improve reliability, performance, and maintainability of existing components
Integrate solutions into CI/CD pipelines
Leverage AI tools to improve coding efficiency, quality, and productivity
Collaborate closely with architects and peers to evolve system design
Apply AI-powered coding tools to accelerate development and improve code quality
Leverage coding agents and AI workflows to optimize design decisions, refactoring, testing, and documentation
Contribute to engineering best practices and continuously improve development velocity and reliability.

We are looking for a Senior Software Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.
Today, AI is central to how we operate, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.
If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.
Why should you join us?
This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, well build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art
AI and Agentic patterns.
This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving us from the AI experimentation phase to building and leveraging AI-powered products.
What you will be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes our vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard our value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across to accelerate AI adoption and productization efforts.

We are looking for an experienced Senior Software Engineer to join our team and help design, build, and scale the systems that power our products. In this role, you will work on high-impact projects that combine cutting-edge technology, complex distributed systems, and challenging algorithmic problems in transportation, routing, and navigation. You will have the opportunity to own features end-to-end, make key technical decisions, and shape the architecture and reliability of large-scale systems.
What Youll Do:
Architect, build, and scale robust, high-performance systems from initial design through deployment to production.
Own features end-to-end, from concept through development, testing, deployment, and maintenance, with strong accountability.
Develop features and APIs for concurrent applications in Golang.
Implement and improve geometric and graph algorithms to support core product
functionality.
Maintain Python and Java server applications, ensuring reliability and stability.
Write production-grade code that is efficient, reliable, maintainable, and optimized for performance.
Optimize application performance, uptime, and scalability, while maintaining high standards of code quality and thoughtful application design.
Run benchmarks and write analysis scripts for geographical data.

Required Senior Data Engineer - Core Data Platform Team
Our Core Data Platform team
We're a leading force in the ad tech industry, revolutionizing how brands connect with their audiences. Our platform processes billions of ad impressions daily, generating massive datasets that drive our core business. We thrive on innovation and seek a Senior Data Engineer to help us build and scale the data infrastructure that powers our insights and analytics. This is a unique opportunity to work with cutting-edge technologies and make a direct impact on our products.
What will you do?
As a Senior Data Engineer, you'll be a key part of our data platform team, responsible for designing, building, and maintaining robust and scalable data pipelines. You'll work closely with data scientists, analysts, and server side engineers to ensure our data is reliable, accessible, and ready for analysis. Your expertise will be crucial in expanding our data warehouse and data lake capabilities, enabling us to deliver next-generation ad tech solutions.
Your mission will be to:
Develop and Optimize Data Pipelines: Design, build, and maintain ETL/ELT pipelines using Apache Spark to ingest, process, and transform large-scale datasets from various sources.
Manage Cloud Infrastructure: Architect and manage our data infrastructure primarily on Google Cloud Platform (GCP) or Amazon Web Services (AWS). This includes services like BigQuery, S3, GCS, EMR, and AirFlow.
Enhance Data Storage: Improve and manage our data warehouse and data lake solutions, ensuring data quality, consistency, and accessibility for business intelligence and machine learning applications.
Collaborate and Innovate: Partner with cross-functional teams to understand data needs and implement solutions that support new product features and business initiatives.
Ensure Data Integrity: Implement monitoring, alerting, and logging systems to maintain data pipeline health and ensure data accuracy.

Were looking for exceptional Senior Engineers who take full ownership of their work-from technical design through implementation and into real-world usage. This is a hands-on role for individuals who bring strong engineering fundamentals, curiosity across the stack, and a high standard for quality and reliability.
Youll join a team that values autonomy, deep thinking, and the ability to navigate both frontend and backend challenges. We expect engineers to care about how their systems behave in production-not just whether they compile-and to help build reliable, scalable software that stands up to real-world demands.
What Youll Do
Design, implement, and ship end-to-end features spanning web, mobile, backend, and infrastructure layers
Tutor, guide and help to nurture a culture of technical excellence throughout the development organization
Own your code through its lifecycle-from spec and architecture to deployment, monitoring, and evolution
Investigate and resolve issues that arise in staging or production, and help build tools that make doing so easier
Work closely with product and design to define technical solutions that deliver real user impact
Improve system architecture, performance, and development practices over time
Collaborate with peers through code reviews, design discussions, and shared ownership of technical quality.