Jobs at Ciklum

Lead a cross-functional team to design, build, and deploy enterprise-grade Java full-stack and microservices solutions. Ensure high code quality, test-driven practices, CI/CD, cloud/container deployments, database and messaging integration, security, and mentor team members while driving architecture and process improvements and adopting GenAI approaches.

Lead design, development, and deployment of production-grade LLM and RAG-based AI solutions. Improve retrieval performance, build automated evaluation and validation frameworks, instrument pgvector retrieval KPIs, integrate metrics into CI/CD, and mentor mid-level engineers while driving technical reviews and best practices.

Design and build scalable data pipelines and API integrations, write reusable Python code for ingestion and automation, use SQL to derive insights, support streaming and batch ETL across storage systems, maintain and improve engineering infrastructure, collaborate with analysts, data scientists and stakeholders, and perform end-to-end development, QA and DevOps tasks.

Develop and modernize scalable .NET applications and microservices using C#, .NET Core, REST APIs, Azure, and Azure DevOps. Design and optimize SQL Server and Azure SQL databases for high-volume transactional systems, translate gateway business rules into a new architecture, and build web APIs and pages with ASP.NET, Entity Framework, JavaScript, and related frameworks. Payments or fintech experience is preferred.

Develop and modernize scalable .NET applications and microservices using C#, .NET Core, REST APIs, Azure, and Azure DevOps. Design and optimize SQL Server and Azure SQL databases, build ASP.NET web APIs and applications, translate legacy gateway functionality into a new architecture, and support high-volume transactional systems. Collaborate cross-functionally while applying strong problem-solving, communication, and attention to detail.

Lead the design, development, deployment, and optimization of AI-driven applications, especially RAG-based chatbots and generative AI solutions. Build scalable systems with Python and Java, deploy them on AWS and Azure, and apply machine learning, deep learning, NLP, vector databases, embeddings, and LLM integrations. Collaborate with cross-functional teams, manage technical deliverables, mentor engineers, ensure quality through testing and optimization, and adopt emerging AI technologies.

Test and validate data ingestion, transformation, and load processes across batch and streaming pipelines; verify warehouse/lakehouse schemas, completeness, accuracy, and timeliness; build automated data quality checks and integrate them into CI/CD; reconcile source-to-target data; validate BI reports and AI/ML models; support data migration, regression testing, monitoring, anomaly detection, and compliance-aware testing (CCPA/GDPR/PCI-DSS).

Lead automation QA for Adyen payments across Skechers ecommerce: create and execute functional, end-to-end, regression and UAT tests; validate APIs, Boomi/WS integrations and the full order lifecycle; update and maintain automation tests; support backend/OMS offshore duties with morning PST overlap.

Lead and execute end-to-end embedded firmware development for devices—from requirements through production and post-production support. Design, implement, test, debug, and optimize system software and I/O, interface with hardware, validate new product designs, assess third-party/open-source software, support QA, perform research and prototypes, and mentor junior teammates.

Backend-focused Senior .NET Engineer responsible for building new functionality, contributing to architecture and code reviews, collaborating with stakeholders, ensuring high coding and test standards, improving solutions and processes, supporting field issues, and using AI tools to accelerate development.

Design, build, and maintain test automation frameworks; create automated UI and API tests; integrate tests into CI/CD; define quality metrics; analyze results; lead code reviews; onboard team members and improve testing and release workflows.

Lead design and delivery of scalable Python backend and AI platforms. Architect microservices, integrate LLMs and vector retrieval, build AI workflows, optimize data pipelines with Databricks and SQL, lead cloud deployments on Azure/AWS, mentor engineering teams, and collaborate with product and data science to productionize Generative and Agentic AI solutions.

Design and develop embedded firmware for battery-powered IoT devices using C/C++ and assembly. Implement wireless protocols, RTOS applications, secure boot and encryption, optimize power and performance, collaborate with hardware, cloud and mobile teams, and build testing and debugging frameworks.

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Design, build, and maintain high-performance backend systems and scalable APIs using Python and FastAPI. Integrate AI-driven solutions (Generative/Agentic AI), work with Databricks and SQL/RDBMS, collaborate with cross-functional teams, optimize performance, and contribute to architecture and technical decisions.

Operate the deal desk and manage opportunity-to-booking lifecycle in Salesforce and DealHub. Ensure booking accuracy, support contracting workflows, coordinate across Sales/Finance/Legal, maintain renewal pipeline, and provide peak-period closing support (EOM/EOQ/EOY).

Lead manual and automated testing for enterprise applications; develop and maintain UI and API automation frameworks using PHP and Selenium; integrate tests into CI/CD; validate APIs and backend integrations; mentor team members; collaborate with engineering, product, and business stakeholders to ensure release readiness and quality, with emphasis on payments/fintech domain.

Lead design and delivery of RAG-based chatbot and AI solutions: architect scalable Python/Java systems, deploy and manage on AWS/Azure, mentor engineers, ensure quality, and research emerging AI methods.

Design, build, and deliver enterprise-grade Generative AI and AI/ML platform capabilities: reusable services, APIs, microservices, RAG and agentic solutions, model lifecycle tooling, inference and monitoring, event-driven streaming with Kafka, CI/CD and DevOps automation, and platform observability to accelerate AI adoption across business domains.

Senior Full Stack Engineer to design, build, and maintain full-stack Java/Kotlin applications on AWS. Work across product, DevOps, QA, and other teams to implement APIs, CI/CD, infrastructure-as-code, event-driven systems, databases, containerized deployments, and monitoring while reducing technical debt and contributing across the product lifecycle.