DevOps

Senior Platform Engineer – Azure Focus

Location: Abu Dhabi, UAE

Level of Experience: 8+ Years

Location: Abu Dhabi, UAE
Experience: 8+ Years

Role Overview:

We are looking for Senior Platform Engineer to design, build, scale, and evolve the Azure AI Platform as a reusable enterprise product.

The role focuses on building cloud-native platform capabilities and hybrid-cloud ecosystems for a large financial enterprise, with particular emphasis on AI service operationalization, security, reusable platform products, and automated infrastructure controls.

Key Responsibilities:

Azure AI Platform Engineering

• Architect and deploy production-ready modular Azure AI platform capabilities.
• Define platform boundaries, service contracts, tenancy patterns, scaling models, and secure integration standards.
• Build shared AI service capabilities by standardizing access to:
  • Azure OpenAI
  • Azure AI Search
  • Document Intelligence
  • Agent and tool orchestration patterns

Infrastructure as Code & Automation

• Standardize application consumption through APIs, SDKs, templates, and reference implementations.
• Define reusable Terraform modules and templatized infrastructure patterns.
• Build standardized network, identity, security, tagging, and observability capabilities into infrastructure provisioning.
• Implement policy-as-code and automated validation for naming, approved SKUs, network isolation, and compliance.

Platform Operations

• Provide self-service provisioning through GitHub Actions or platform APIs.
• Establish reusable platform patterns, release management, documentation, and onboarding journeys.
• Engineer production runtimes on AKS and Azure Container Apps for APIs, agents, MCP servers, and asynchronous workloads.
• Manage API lifecycles using Azure API Management and Kong.

Required Skills & Experience:

• 8+ years of experience with the Azure Cloud Platform.
• Strong expertise in Terraform and GitHub Actions, including modular design, automated testing, and controlled promotion.
• Familiarity with Azure AI Foundry and Azure OpenAI Service.
• Expert knowledge of network architecture including:
  • VNETs
  • Peering
  • Firewalls
  • Private Links
• Hands-on experience with Azure API Management or Kong.
• Strong Cloud Architecture and Solution Architecture capabilities.
• Deep hands-on expertise with:
  • AKS
  • Azure Container Apps
  • Azure AI Foundry
  • Azure OpenAI
  • APIM
  • Identity
  • Private Networking
• Experience with Kubernetes, containers, platform APIs, SDK design, observability, and SRE practices.
• Ability to translate security, risk, and compliance requirements into automated platform controls.

Senior Platform Engineer – AWS Focus

Location: Abu Dhabi, UAE

Level of Experience: 5 +Years

Location: Abu Dhabi, UAE
Experience: 5+ Years

Role Overview:

We are looking for Senior Platform Engineer to design, engineer, and evolve AWS cloud and hybrid-cloud ecosystems as a reusable enterprise portfolio of products.

The role focuses on creating secure, cloud-native capabilities that enable AI teams to build, evaluate, and operate applications and agents on AWS without recreating infrastructure, integration, or operational controls. The position also emphasizes AI service operationalization, security, and FinOps-driven cloud cost optimization.

Key Responsibilities:

AWS Platform Engineering

• Design reusable AWS AI platform services, products, contracts, and tenancy patterns.
• Architect and deploy production-ready AWS environments using a landing-zone approach.
• Deploy, scale, and manage AWS AI/ML services including:
  • Amazon Bedrock
  • SageMaker
  • Rekognition
  • Textract
  • Lookout

Infrastructure & Automation

• Standardize deployments using Terraform.
• Build versioned Terraform modules, platform APIs, SDKs, automated validation, and release management.
• Engineer runtime patterns using:
  • EKS
  • Lambda
  • Containers
  • EventBridge
  • Queues
  • Streams
  • Workflow services

Security & API Management

• Implement least-privilege IAM, workload identity, secrets management, encryption, and private VPC connectivity.
• Automate security controls, evidence, and policy enforcement within delivery pipelines.
• Design secure service-to-service and cross-account access patterns.
• Manage API lifecycles using AWS API Gateway and Kong.

CI/CD & FinOps

• Design automated GitHub Workflows for infrastructure and application CI/CD.
• Provide self-service onboarding, templates, documentation, reference services, and paved-road engineering patterns.
• Analyze cloud SKUs and implement monitoring and alerting to prevent budget overruns.

Required Skills & Experience:

• 5+ years of experience in the AWS ecosystem.
• Expert-level Terraform skills.
• Deep expertise in:
  • Amazon Bedrock
  • EKS
  • Lambda
  • EventBridge
  • API Gateway
  • IAM
  • VPC
  • CloudWatch
• Direct experience with AWS Bedrock and SageMaker.
• Expert knowledge of VPC design, subnetting, Route 53, and Direct Connect.
• Hands-on experience with AWS API Gateway or Kong.
• Strong Cloud Architecture and Solution Architecture capabilities.
• Experience with GitHub Actions and Terraform.

📩 Apply Now: [email protected]

Firco Support & Integration Specialist

Location: Abu Dhabi, UAE

Level of Experience: 10+ Years

Location: Abu Dhabi, UAE
Experience: 10+ Years

Role Overview:

We are looking for highly experienced Senior Firco Support Specialist with deep expertise in Firco Continuity, Firco Trust, FSK, Firco Prediction Integrator (PI), and Firco Case Manager (CM API).

The role focuses on production support, incident management, API integrations, automation, data validation, and system stability within a high-volume banking sanctions screening environment.

Key Responsibilities:

Production Support

• Provide advanced production support for Firco Continuity, Firco Trust, and FSK.
• Monitor real-time screening queues, batch screening, and alert generation.
• Handle high-priority incidents including screening outages, watchlist update failures, API response failures, and decision-text anomalies.
• Perform Root Cause Analysis (RCA) and implement preventive actions.
• Ensure SLA adherence and regulatory compliance.

Integration & Testing

• Perform UAT and production validation testing.
• Support integration between Firco and third-party AI adjudication tools.
• Configure and manage Firco Prediction Integrator workflows.
• Support inbound and outbound Case Manager API integrations.
• Develop and troubleshoot REST/SOAP APIs and JSON/XML payload mappings.

Integration Troubleshooting

• Manage field-level mapping between PI and CM.
• Support real-time and batch integration models.
• Troubleshoot API throttling and timeout issues.
• Support system stability and continuous improvement initiatives.

Required Skills & Experience:

• 10+ years of hands-on experience with:
  • Firco Continuity – v6 preferred
  • Firco Trust
  • FSK
  • List Automation
  • Firco Prediction Integrator
  • Firco Case Manager
  • SWIFT
• Strong experience with REST/SOAP APIs and JSON/XML transformation.
• Hands-on experience with Postman and SoapUI.
• Strong SQL skills with Oracle and SQL Server.
• Experience with shell scripting / Windows batch scripting.
• Experience with Fortra Automate.
• Exposure to AI adjudication platforms, name screening vs. transaction screening, and Azure/AWS is advantageous.
• Strong incident management, attention to detail, process improvement, and mentoring capabilities.

📩 Apply Now: [email protected]

AI Quality & Reliability Engineer – QA/SRE

Location: Abu Dhabi, UAE

Level of Experience: 7+ Years

Location: Abu Dhabi, UAE
Experience: 7+ Years

Role Overview:

We are seeking for AI Quality & Reliability Engineer to own the production readiness of cloud-based AI solutions.

This hybrid role combines automated software testing, AI model evaluation, and Site Reliability Engineering (SRE). The role focuses on building automated frameworks to validate AI outputs while ensuring Azure/AWS infrastructure is resilient, performant, and aligned with banking standards.

Key Responsibilities:

AI Quality & Automated Testing

• Design and execute automated testing frameworks for AI services such as Azure OpenAI and AWS Bedrock.
• Test AI solutions for:
  • Model hallucinations
  • Accuracy
  • Content safety
  • Latency
• Build CI/CD-integrated test suites using Python to validate application logic and infrastructure state.

Reliability & Performance

• Implement Chaos Engineering and load testing for banking-scale web and mobile backends.
• Develop automated recovery scripts to support high availability.
• Define and monitor SLIs and SLOs.
• Configure advanced monitoring and alerting using Azure Monitor or AWS CloudWatch.

Security & Compliance

• Automate security scans and compliance checks.
• Ensure AI data handling aligns with banking data residency and privacy requirements.
• Identify inefficient cloud resource usage and expensive failing tests during testing.

Required Skills & Experience:

• 7+ years of relevant experience.
• High proficiency in Python and automation frameworks such as:
  • PyTest
  • Selenium
  • Robot Framework
• Strong hands-on experience with Azure or AWS, particularly networking, scaling, and serverless reliability.
• Understanding of Prompt Engineering and AI output evaluation, including:
  • RAG evaluation
  • ROUGE/BLEU
  • Custom LLM benchmarks
• Experience with Grafana, Prometheus, Azure Monitor, AWS CloudWatch, or similar monitoring tools.
• Experience with Bash, GitHub Actions, Terraform, K6/JMeter.
• Exposure to AI evaluation tools such as DeepEval, Ragas, or LangSmith.

📩 Apply Now: [email protected]

AI Ops Engineer

Location: Abu Dhabi, UAE

Level of Experience: 7+ Years

Location: Abu Dhabi, UAE
Experience: 7+ Years

Role Overview:

We are seeking for AI Ops Engineer to establish the operational backbone for enterprise AI platforms, enabling application teams to release AI products safely, repeatedly, and at scale.

The role is responsible for production release discipline, LLMOps practices, deployment automation, operational governance, cost visibility, and self-service operating standards for AI-native delivery teams.

Key Responsibilities:

AI Release & Deployment

• Build standard release pipelines and promotion controls for AI applications, agents, platform services, and configuration changes.
• Ensure repeatable deployments with appropriate governance and release evidence.
• Implement controlled rollout, canary release, and rollback-readiness practices to reduce production risk.

LLMOps & Operational Governance

• Embed operating controls for models and AI assets to support auditability and AI lifecycle management.
• Integrate AI quality checks, operational telemetry, dashboards, runbooks, and production-readiness criteria into delivery processes.
• Establish reusable operational standards and practices for AI-native teams.

Cost & Platform Visibility

• Provide visibility into AI workload consumption, including:
  • Model usage
  • Token spend
  • Platform capacity
  • Quota management
  • Optimization opportunities
• Convert proven operating patterns into reusable templates, release standards, onboarding guidance, and operational playbooks.

Required Skills & Experience:

• 7+ years of relevant experience.
• Strong production engineering background with cloud-native, AI, or high-scale API platforms in enterprise environments.
• Hands-on experience with CI/CD, GitHub Actions or equivalent automation, and environment management.
• Working knowledge of:
  • LLMOps
  • Telemetry
  • Release governance
  • Production readiness
• Experience with observability, change control, service reliability, and continuous operational improvement.
• Ability to collaborate with Platform Engineering, QA/SRE, Cybersecurity, Architecture, Product, and Delivery teams.

📩 Apply Now: [email protected]

Agent Runtime Platform Engineer

Location: Abu Dhabi, UAE

Level of Experience: 7+ Years

Location: Abu Dhabi, UAE
Experience: 7+ Years

Role Overview:

We are seeking for Agent Runtime Platform Engineer to design and build the enterprise runtime foundation for AI agents and agentic applications. The role is focused on platform engineering, with a strong understanding of agent engineering standards and deployment patterns.

The engineer will create secure, reusable, and self-service runtime capabilities that enable teams to deploy agents consistently across cloud-native environments.

Key Responsibilities:

Agent Runtime & Platform Engineering

• Design and engineer runtime patterns for AI agents, MCP servers, APIs, and containerized services.
• Build runtime capabilities using AKS, Azure Container Apps, Kubernetes, queues, events, and cloud-native infrastructure.
• Build reusable infrastructure patterns and platform APIs for consistent deployment and operation of agent workloads.
• Define standards for agent manifests, runtime configurations, and tool definitions.

Integration & Security

• Standardize how agents connect to models, MCP servers, and enterprise APIs.
• Implement approved patterns for networking, identity, and access control.
• Develop paved-road templates, SDKs, reference implementations, documentation, and onboarding journeys for application teams.

Production Readiness

• Ensure agent workloads are observable, scalable, secure, and production-ready.
• Apply appropriate practices for resilience, cost control, release promotion, and operational readiness.

Required Skills & Experience:

• 7+ years of relevant experience.
• Strong hands-on expertise with:
  • AKS
  • Azure Container Apps
  • Kubernetes
  • Containers
  • Networking
  • Workload Identity
  • Ingress
  • API Gateways
  • Private Connectivity
  • Secrets Management
• Strong experience with Terraform and GitHub Actions or equivalent automation.
• Experience developing reusable platform modules, deployment templates, and environment-aware provisioning.
• Working knowledge of AI agent architectures and API/service contracts.
• Strong understanding of security, observability, scaling, resilience, cost control, release promotion, and operational readiness.
• Ability to work closely with AI Platform, AI Ops, Cybersecurity, Architecture, and Application teams.

📩 Apply Now: [email protected]

Full Stack Team Lead

Location: Bengaluru

Level of Experience: 10+ Years

Location: Bengaluru, India
Experience: 10+ Years

Role Overview:

We are seeking for experienced Senior Full Stack Engineer / Technical Lead with a strong backend engineering focus to design, build, and operate large-scale distributed systems.

The role combines hands-on engineering with technical leadership, covering cloud-native platforms, scalable backend services, event-driven systems, platform reliability, security, and performance.

Key Responsibilities:

Technical Leadership & Architecture

• Architect and lead the development of cloud-native backend platforms using:
  • Node.js
  • TypeScript
  • Express.js
  • MongoDB
  • Redis
  • Kafka
• Own technical direction, solution architecture, engineering standards, and delivery planning for the squad.
• Design scalable, distributed, event-driven backend services and optimize distributed workloads.

Platform Engineering

• Drive platform reliability, security, and performance across production systems.
• Maintain hands-on involvement in frontend development using ReactJS.
• Ensure code quality through reviews, engineering standards, and best practices.

Team Leadership

• Mentor and guide engineers across the squad.
• Foster technical growth and promote strong engineering practices.
• Collaborate with Product Owners, Architects, DevOps, and other engineering teams to deliver scalable and maintainable solutions.

Required Skills & Experience:

• 10+ years of experience building and operating high-scale backend systems in production environments.
• Deep expertise in Node.js, TypeScript, and Express.js.
• Strong experience with Microservices Architecture and distributed system design.
• Expertise in Kafka for event-driven architectures, asynchronous processing, and service integration.
• Strong MongoDB expertise covering data modeling, indexing, aggregation pipelines, and performance tuning.
• Experience with Redis for caching, distributed locking, session management, and performance optimization.

Additional Technical Skills:

• Experience with cloud platforms – Azure preferred, with AWS or GCP acceptable.
• Experience with Docker and Kubernetes.
• Strong understanding of CI/CD, infrastructure automation, and DevOps practices.
• Experience with API design, security, authentication, authorization, and observability.
• Hands-on experience with ReactJS.

📩 Apply Now: [email protected]

iOS Software Engineer

Location: Bengaluru

Level of Experience: 5 +Years

Location: Bengaluru, India
Experience: 5+ Years

Role Overview:

We are seeking for experienced iOS Engineer to build and maintain large-scale, modular iOS applications using modern Apple technologies and AI integration.

The role focuses on scalable application architecture, high-performance mobile experiences, advanced SwiftUI development, production observability, and integration of AI capabilities into iOS applications.

Key Responsibilities:

iOS Application Engineering

• Design scalable application architectures for iPhone and iPad platforms.
• Optimize application performance and deliver high-quality user experiences.
• Develop advanced SwiftUI interfaces with a strong focus on responsiveness and accessibility.
• Apply modern dependency management and architectural patterns to create scalable, maintainable, and testable solutions.

Performance & Observability

• Implement robust crash monitoring and observability solutions.
• Diagnose memory, performance, and concurrency issues using Xcode Instruments and profiling tools.
• Debug memory leaks, analyze crash trends, and optimize application startup performance in production.

AI Integration

• Integrate LLM APIs and work with MCP (Model Context Protocol) frameworks in production environments.
• Implement resilient error handling in AI-powered applications.
• Evaluate LLM trade-offs and work with token management, context handling, agentic workflows, multi-agent orchestration, and tool-use patterns.

Required Skills & Experience:

• 5+ years of experience building and maintaining large-scale, modular iOS applications.
• Strong understanding of token management, context handling, agentic workflows, multi-agent orchestration, and tool-use patterns.
• Hands-on experience integrating LLM APIs and MCP frameworks in production environments.
• Proven specialization in 2–3 of the following:
  • Swift Concurrency – async/await, Actors, Task Groups
  • SwiftUI and Combine
  • Core Data or SwiftData
  • Networking with URLSession, gRPC, or Protocol Buffers
  • Background processing with the BackgroundTasks framework
• Experience debugging memory leaks using Instruments, analyzing crash trends, and optimizing startup performance.

Ideal Candidate:

The ideal candidate will have a proven track record of delivering scalable iOS solutions in production environments, going beyond simple applications and demonstrating strong architectural thinking, performance engineering, and modern AI integration capabilities.

📩 Apply Now: [email protected]

Full Stack Developer – Software Engineer

Location: Bengaluru

Level of Experience: 5 +Years

Location: Bengaluru, India
Experience: 5+ Years

Role Overview:

We are seeking for experienced Full Stack Engineer with a strong backend engineering focus to design, build, and operate large-scale distributed systems.

The role focuses on developing cloud-native platforms using Node.js, TypeScript, Express.js, MongoDB, Redis, Kafka, and Microservices, while maintaining hands-on involvement in frontend development using ReactJS.

Key Responsibilities:

Backend Engineering

• Develop and support cloud-native backend platforms using Node.js, TypeScript, Express.js, MongoDB, Redis, and Kafka.
• Build scalable, distributed, and event-driven backend services.
• Optimize distributed workloads and support platform scalability.

Frontend Development

• Maintain hands-on involvement in frontend development using ReactJS.
• Contribute to scalable and maintainable full-stack solutions across backend and frontend components.

Reliability & Engineering Practices

• Support platform reliability, security, and performance across production systems.
• Follow engineering standards, coding practices, and quality guidelines.
• Participate in code reviews and adopt engineering best practices.

Collaboration

• Collaborate with Product Owners, Architects, DevOps, and other engineering teams to ensure successful delivery of scalable and maintainable solutions.

Required Skills & Experience:

• 5+ years of experience building and operating high-scale backend systems in production.
• Strong expertise in Node.js, TypeScript, and Express.js.
• Experience with Microservices Architecture and distributed system design.
• Experience with Kafka for event-driven architectures, asynchronous processing, and service integration.
• Strong MongoDB expertise covering:
  • Data modeling
  • Indexing strategies
  • Aggregation pipelines
  • Performance tuning
• Experience with Redis for caching, distributed locking, session management, and performance optimization.

Additional Technical Skills:

• Experience with cloud platforms – Azure preferred, with AWS or GCP also acceptable.
• Experience with Docker and Kubernetes.
• Understanding of CI/CD, infrastructure automation, and DevOps practices.
• Experience with API design, security, authentication, authorization, and observability.
• Hands-on experience with ReactJS for frontend development.

📩 Apply Now: [email protected]

Android Software Engineer

Location: Bengaluru

Level of Experience: 5 +Years

Location: Bengaluru, India
Experience: 5+ Years

Role Overview:

We are seeking for experienced Android Engineer to build and maintain large-scale, multi-module Android applications with expertise in complex build systems, modern Android development, and AI integration.

The role involves designing scalable Gradle architectures, optimizing application performance, developing high-performance Jetpack Compose interfaces, and integrating AI capabilities into production mobile applications.

Key Responsibilities:

Android Application Engineering

• Design scalable Gradle architectures for large-scale, multi-module Android applications.
• Optimize build performance and modular application structures.
• Develop high-performance Jetpack Compose user interfaces.
• Apply scalable and maintainable architectural patterns across feature teams.

Performance & Reliability

• Implement robust Firebase Crash Reporting.
• Diagnose memory issues and ANRs.
• Perform memory profiling, crash analysis, and application performance optimization.
• Identify and resolve performance issues across large-scale modular applications.

AI & Modern Application Development

• Integrate LLM APIs and work with MCP (Model Context Protocol) frameworks in production environments.
• Apply AI error-recovery strategies across agentic workflows and multi-agent orchestration.
• Work with token management, context handling, agentic workflows, and multi-agent orchestration.

Required Skills & Experience:

• 5+ years of experience building and maintaining large-scale, multi-module Android applications.
• Strong understanding of token management, context handling, agentic workflows, and multi-agent orchestration.
• Hands-on experience integrating LLM APIs and MCP frameworks in production environments.
• Strong expertise in 2–3 of the following:
  • Kotlin Coroutines & Flow
  • Data Store and Room
  • OkHttp and Protocol Buffers
  • Work Manager
• Experience with memory profiling, Firebase crash analysis, and performance optimization.

Preferred Skills:

• Active GitHub portfolio showcasing multiple Android projects with strong architecture and scalability.
• Open-source contributions and technical writing experience.
• Experience shipping AI-powered features.
• Experience with LLM platforms such as Claude, OpenAI, or MCP tool servers.
• Ability to balance architectural thinking with practical delivery across complex modular systems and real-world mobile constraints.

📩 Apply Now: [email protected]