This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Lead development of enterprise connectors, integration frameworks, reusable components, and automation accelerators
Oversee real‑time integrations using REST/GraphQL and event‑streaming systems (Kafka/RabbitMQ)
Ensure reliability, resiliency, and observability across integration layers
Architect and review REST/GraphQL API ecosystems across products
Drive cloud‑native integration designs using Kubernetes, OpenShift, Docker
Own CI/CD strategy, GitOps workflows, and automation pipelines for integration delivery
Guide design of high‑performance ETL/ELT workflows
Work with SQL/NoSQL/datastore architectures to scale data movement
Ensure end‑to‑end data quality, lineage, governance, and auditability
Mentor engineers across levels
lead technical workstreams and guilds
Collaborate with Product, Architecture, Infrastructure, Security, and business partners
Participate in capacity planning, roadmap alignment, and technical assessments
Provides technical direction to the project team and perform code reviews
Collaborate with team to design, develop, test and refine deliverables that meet the objectives
Should be able to contribute actively to In sprint automation
Handling all production support escalations and EACO calls during India day hours
Motivate team members and promote a strong sense of support, ownership and urgency
Facilitate communications within the team and facilitate knowledge sharing amongst the team and other personnel
Collaborate with Product Managers, System Architects, Analysts and any other stakeholders as needed
Requirements:
5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of hands‑on engineering experience with strong integration expertise
Advanced proficiency in Java, Python, or similar languages
Deep experience with: API engineering at scale
Integration frameworks and enterprise integration patterns
Kafka/RabbitMQ/event streaming
ETL/ELT solutions and large data integration workloads
Strong understanding of distributed architecture, cloud native design, and hybrid deployment models
Proven experience with AWS/Azure/GCP/OCP
Strong knowledge of API security, OAuth, JWT, encryption, certificates
5+ years of application development and implementation experience
Expertise with CI/CD (GitHub, Jenkins, pipelines-as-code) and SDLC automation
Experience contributing to or managing large-scale frameworks across multiple programming languages
Exposure to GenAI integrations in engineering workflows (e.g., Copilot extensibility, automated code remediation)
Knowledge of cloud-native design (Kubernetes, containers, service mesh)
Familiarity with developer portal ecosystems, plugin systems, or IDP integrations
Background in platform engineering, technical risk management, or architecture functions