Jobs at Ciklum

Lead DevOps Engineer responsible for building AWS development, testing, and production environments; creating CI/CD pipelines; managing infrastructure as code, secrets, IAM, networking, API gateways, observability, monitoring, and alerting. The role also develops runbooks, rollback plans, deployment documentation, and operational handover materials while supporting production releases under enterprise change-control and cloud-governance processes.

Design and deploy production LLM capabilities for identifier extraction and intent detection using Azure OpenAI within Kore.ai. Build evaluation datasets, measure model performance, define prompts and guardrails, connect outputs to Snowflake and ticket routing, and support testing, defect triage, tuning, monitoring, and handover documentation. Collaborate with conversation designers and explain model behavior to stakeholders while addressing PII, GDPR, and responsible AI requirements.

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.

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.

Develop and maintain Adobe Experience Manager applications, components, templates, workflows, and integrations. Build Java backend services, REST APIs, and responsive Angular frontends. Troubleshoot application and performance issues, perform testing, participate in code reviews and Agile ceremonies, support deployments, document solutions, and collaborate with product, QA, UX/UI, and technical teams.

Lead enterprise technical architecture strategy, governance, engineering standards, R&D initiatives, reusable libraries, shared services, and cloud-native deployment practices. The role drives continuous improvement in scalability, code quality, CI/CD, infrastructure automation, and operational reliability while mentoring engineering teams and aligning business and technology priorities in a high-scale payments environment.

Build and operate Java backend services, REST APIs, microservices, serverless systems, and event-driven pipelines. Manage AWS infrastructure, databases, caching, CI/CD, Kubernetes, and Terraform. Integrate third-party APIs securely, document architectures, write tests, monitor production systems, investigate incidents, review code, and collaborate within an agile team. The role requires strong Java and Spring Boot expertise, distributed-systems experience, cloud knowledge, and practical use of AI coding assistants.

Develop and maintain end-to-end automated testing infrastructure for complex distributed systems. Create automated tests, monitor test execution, investigate critical product issues, and design complex test scenarios. Collaborate with developers and architects across the software development lifecycle while working with Linux, Windows, cloud platforms, Docker, Kubernetes, and networking technologies.

Provides IT support for credential management software by responding to customer requests, diagnosing and resolving system issues, managing service desk tickets, escalating complex problems, tracking resolution status, communicating with customers, and maintaining technical documentation and knowledge bases. The role requires shift work, strong English communication, troubleshooting ability, and familiarity with Microsoft enterprise technologies.

Develop and maintain Oracle APEX applications, Oracle Analytics Server/OBIEE reporting solutions, BI Publisher reports, and Oracle database objects. Build dashboards, workflows, integrations, REST APIs, and data models; write complex SQL and PL/SQL; troubleshoot and tune application and database performance; support deployments, testing, production issues, documentation, and stakeholder collaboration.

Designs and supports highly available hybrid and multi-cloud infrastructure for mission-critical applications. Responsibilities include implementing Infrastructure as Code, CI/CD pipelines, automated deployments, zero-downtime upgrades, resource allocation, cloud migrations, Kubernetes operations, scripting, disaster recovery, and infrastructure security across cloud and on-premise environments.

Build and own end-to-end SaaS product features across frontend, backend, APIs, databases, testing, and cloud deployment. Lead frontend architecture, develop Python or Node.js services, work with React, TypeScript, PostgreSQL, distributed systems, and event-driven patterns, and operate services on GCP or AWS. Drive engineering quality through testing, observability, code reviews, documentation, mentorship, and AI-enabled tooling. Collaborate with product, design, and leadership while supporting a mental health platform.

Administer and optimize Databricks environments on AWS across development, testing, and production. Responsibilities include workspace provisioning, Unity Catalog governance, access management, cluster and cost optimization, CI/CD, monitoring, troubleshooting, Terraform automation, security controls, compliance, and workflow orchestration. The role partners with engineering, infrastructure, InfoSec, and compliance teams to maintain secure, scalable, reliable enterprise data platforms.

Designs and operates highly available cloud infrastructure, Kubernetes workloads, CI/CD pipelines, monitoring, logging, and disaster recovery frameworks. Supports security teams, troubleshoots complex production issues, manages software releases, and automates operational workflows. The role also supports AI-driven infrastructure, including LLM workflows and related cloud services, while collaborating with backend, data, and security engineering teams.

Build and modernize cloud-native backend systems for debit card services, supporting the full card lifecycle and integrations with payment processors, 3D Secure, and MasterCard. Lead technical initiatives involving event-driven architecture, microservices, containers, Kubernetes, databases, and message brokers. Collaborate with product, architecture, security, infrastructure, and operations teams to deliver secure, reliable, high-performance financial platform services.

Build and maintain scalable backend services for fraud detection using JavaScript and TypeScript. Design event-driven microservices and cloud infrastructure on AWS, implement high-volume data processing solutions, and work with DynamoDB and PostgreSQL. Participate in architecture, testing, CI/CD, deployment, monitoring, production maintenance, and code reviews while progressively taking ownership of features from specification through release.

Build and maintain scalable backend services for fraud detection using JavaScript, TypeScript, and Node.js. Design event-driven microservices and cloud infrastructure on AWS, implement high-volume data processing, and work with DynamoDB and PostgreSQL. Participate in architecture, testing, CI/CD, deployment, monitoring, code reviews, and production support while progressing toward independent end-to-end feature ownership.

Develop scalable backend services for fraud detection using TypeScript, Node.js, event-driven microservices, and AWS. Responsibilities include designing and implementing high-volume data processing systems, maintaining secure cloud infrastructure, working with DynamoDB and PostgreSQL, managing CI/CD and deployments, monitoring production services, participating in code reviews, and collaborating with product, design, data science, and senior engineering teams.

Leads enterprise technical architecture strategy for AI-assisted automation systems in a fintech environment. Establishes architecture standards, governance frameworks, engineering quality practices, deployment patterns, CI/CD, and cloud-native operational architectures. Oversees shared libraries, components, and services; leads emerging-technology research and production adoption; and mentors cross-functional engineering teams while aligning business and technology priorities.

Design and optimize low-latency RTL for FPGA and ASIC control platforms, including signal processing, waveform generation, and real-time control. Responsibilities span architecture, microarchitecture, synthesis, timing analysis, verification, debugging, hardware-software interfaces, and digital IP integration. The role collaborates with architects, verification engineers, software developers, and hardware specialists to deliver high-performance systems for quantum computing applications.