Jobs at Ciklum

Manage end-to-end resource allocation and deployment, optimize bench utilization, forecast demand and build talent supply plans, drive internal mobility, partner with TA for external hires, and track utilization and deployment metrics.

Lead and scale Retail & Consumer Goods consulting: drive discovery workshops, presales solutioning, strategic client advisory, author domain IP, and win large digital transformation deals across e-commerce, merchandising, and digital experience.

Lead and scale the Fintech & Payments practice by providing domain consulting, presales solutioning, and strategic client advisory. Drive discovery workshops, author industry-specific solutions and IP, support bid defense, and collaborate with sales and technical teams to convert high-value deals and shape digital banking, payments, and next-gen fintech transformations.

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, 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.

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 design for B2C and B2B SaaS and mobile products. Create user research, wireframes, prototypes, and high-fidelity UI using design systems. Collaborate with cross-functional teams, run workshops, iterate from feedback, and produce artifacts like personas, journeys, and screen maps.

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 quality engineering for a cloud-native data platform by building and maintaining end-to-end automation frameworks for backend (.NET/Azure Functions) and frontend (Angular), validate execution engines, automate data/pipeline verification on Snowflake, integrate tests into Azure DevOps CI/CD, and define test strategies including performance/load testing.

Lead architecture and engineering of enterprise-scale Generative AI and data platforms. Design reusable platform services for end-to-end AI/ML lifecycle, build agentic applications and event-driven systems, enforce CI/CD and DevSecOps, ensure security/governance/observability, mentor engineers, and drive platform modernization using cloud-native, containerized, and distributed technologies.

Senior Automation QA Engineer responsible for creating and executing functional, end-to-end, regression, and automation tests for Adyen payment flows across Skechers ecommerce (all countries). Validate APIs, Boomi/Web Services integrations, MAO/Revrec changes, support UAT, and update existing automation for digital and IT payment features.

Lead platform automation for enterprise Generative AI and data platforms: design and build IaC, CI/CD, observability, deployment automation, and self-service capabilities to accelerate AI/ML lifecycle, reliability, governance, and developer productivity across cloud-native distributed environments.

Lead end-to-end design, build, deployment and iteration of AI-agent solutions. Embed with clients to map workflows, architect multi-agent systems, integrate enterprise systems and RAG pipelines, implement guardrails and observability, and liaise with non-technical stakeholders to drive adoption.

Build and enhance enterprise data pipelines into Databricks Unity Catalog and Delta Lake. Improve remediation and entity-matching layers (including D&B DataBlocks), integrate APIs, and support LLM-assisted remediation and CMG redesign projects.

Design, build, and deploy scalable cloud-native full-stack enterprise applications. Develop responsive React/Next UIs, RESTful APIs with Python/FastAPI, and microservices. Implement CI/CD, containerization, and infrastructure on AWS or Azure. Perform design and code reviews, optimize performance, ensure security and monitoring, and mentor junior engineers.

Design, create, and execute functional and regression tests for Adyen payment integrations across eCommerce platforms, maintain automation scripts, perform end-to-end and API testing, support UAT, and collaborate with cross-functional teams for high-quality releases.

Lead cross-functional ML initiatives: choose modeling approaches, define business-linked evaluation metrics, validate with synthetic and real data, deliver MLOps-enabled models on AWS, ensure reproducibility, compliance, cost optimization, and incremental value within short agile release cycles.

Senior technical leader defining evaluation-driven development, modeling strategy, MLOps and platform direction on AWS. Oversees multiple agile release cycles, ensures measurable business impact, mentors data scientists, sets governance for evaluation, synthetic data, validation, cost and compliance across the ML portfolio.

Design and communicate solution architectures for cross-functional teams: gather requirements, define business/information/technology architectures, produce architecture vision, run trade-offs and proofs of concept, document decisions, and review downstream designs to ensure alignment with the solution architecture.