Über
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Role Summary
As a Senior Software Engineer, you'll design and deliver real time data pipelines and event driven microservices. You'll implement resilient streaming patterns, contribute to data governance and CI/CD automation, and collaborate closely with platform and product teams to scale our data services. Responsibilities
Build reliable streaming applications using Confluent Kafka, Apache Flink, Hazelcast, Kafka Streams, Kafka Connect, and Schema Registry. Develop ETL/ELT pipelines for real time ingestion, transformation, and distribution; implement windowing, joins, and stateful processing. Implement distributed caching and in memory data grid integrations to reduce latency and improve throughput. Contribute to event gateway / event grid routing, schemas, topic design, ACLs, and dead letter strategies. Write clean, testable code for microservices (Java/Python), focusing on reliability, idempotency, and observability. Automate CI/CD pipelines, containerization (Docker), and deployments to Kubernetes. Participate in data governance: tagging, metadata updates, lineage capture, schema evolution, and data quality checks. Monitor production systems, perform performance tuning, troubleshoot backpressure/lag, and improve SLO attainment. Collaborate on design docs, code reviews, and cross team integrations. Required Qualifications
7+ years in software engineering, with 3+ years focused on real time streaming or event driven systems. Strong hands-on experience with Kafka (topics, partitions, consumer groups), Schema Registry, Kafka Connect, and either Flink or Kafka Streams or Hazelcast. Solid understanding of ETL/ELT concepts, event time vs. processing time, checkpointing, state management, and exactly once/at least once semantics. Proficiency with microservices (Java /Python), APIs (REST/gRPC), Avro/JSON/protobuf, and contract testing. Experience with Docker, Kubernetes, and CI/CD tools (GitHub Actions/Azure DevOps/Jenkins or similar). Familiarity with distributed caching (Redis, Hazelcast) and in memory data grids. Cloud experience in at least one cloud platform (Azure/AWS/GCP). Knowledge of observability (metrics, logs, traces) and resilience (retries, timeouts, DLQs, circuit breakers). Exposure to data governance, metadata catalogs, and lineage tooling; schema evolution and compatibility (backward/forward/full). Core competencies to include Problem Solving, Ownership, Code Quality, Operational Mindset, Collaboration, Continuous Improvement. Nice to Have
CDC pipelines, Flink SQL, custom Kafka Connect connectors. Experience with feature flags, canary releases, and progressive delivery. Performance tuning: batch sizes, compression, serialization choices (Avro vs. Protobuf), and partitioning strategies. Life at Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Employee Resource Groups Salary Information: Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is - $110000 to $115000/yearly. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Sprachkenntnisse
- English
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