contexts. Strong .NET software engineering background. Deep expertise in Kubernetes (on-prem and cloud) and Terraform . Experience with real-time, event-driven systems and message brokers (e.g., RabbitMQ, Kafka). Strong grasp of telemetry, observability, and performance monitoring in distributed systems. Track record of technical leadership and setting engineering standards. Nice to Have: Experience with OpenTelemetry , Prometheus, Grafana More ❯
numeric discipline, or equivalent work experience Excellent written and spoken English Added Bonus If You Have Unix/Linux experience Oracle Experience Experience of event-driven distributed messaging (e.g. Kafka) Experience of financial markets and the trade lifecycle beneficial C# and any GUI development experience What We Offer You At FIS, you can learn, grow and make an impact More ❯
deployment tools Experience implementing, maintaining and troubleshooting MPLS, BGP, OSPF, IGMP, PIM related internal and external network routing issues in a production environment Knowledge with messaging queues such as Kafka, RabbitMQ, etc Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or More ❯
deployment tools Experience implementing, maintaining and troubleshooting MPLS, BGP, OSPF, IGMP, PIM related internal and external network routing issues in a production environment Knowledge with messaging queues such as Kafka, RabbitMQ, etc Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or More ❯
an Agile environment Nice-to-Have Good knowledge of functional programming languages Professional experience with at least one of Rust or Elixir Knowledge of TDD Knowledge of RabbitMQ/Kafka Why you'll love it here We want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty More ❯
process and protocols. Work with Global Teams and Citi Teams Qualifications: Experience in programming/debugging used in business applications knowledge of Java, react for front end, spring boot, Kafka, Distributed Cache/Systems Working knowledge of industry practice and standards Comprehensive knowledge of specific business area for application development Hands on experience on relational databases like Oracle with More ❯
deployment tools Experience implementing, maintaining and troubleshooting MPLS, BGP, OSPF, IGMP, PIM related internal and external network routing issues in a production environment Knowledge with messaging queues such as Kafka, RabbitMQ, etc Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or More ❯
Solid querying and data preparation skills. Data Architectures: Understanding of modern data systems (lakehouses, data lakes). Additional (nice-to-have) skills: Infrastructure as Code: Terraform or equivalent. Streaming: Kafka, Kinesis. Cloud certifications (AWS or Azure). Experience in consulting or the energy sector. Public engagement through blogging or speaking. Strong communication and stakeholder engagement. Integration with hybrid or More ❯
Maven or Gradle Bonus Points Experience with Spring Boot (used for DI and config management) Experience with ORMs (we use Spring Data over JPA/Hibernate) Basic understanding of Kafka Soft Skills Thinks critically and spots gaps in test coverage Can read and extend existing test code Cares about test value, not just coverage numbers What's in it More ❯
Development Ability to adjust priorities quickly as circumstances dictate Key Skills and Experience required Extensive development experience, specifically with building User Interface's Technical skills in React, C#, DotNet, Kafka, SQL, Git Experience in performing QA Proven ability to work in high pressure environment Flexibility to work with a global team, across geographies and time zones Strong problem-solving More ❯
and MLflow for managing and tracking code deployment or model versions Experience with cloud-based data platforms such as AWS or Google Cloud Platform Nice to have: Experience with Kafka Proven track record of leading large scale data infrastructure in production Experience with container technologies (such as Docker) and orchestration technologies (such as Kubernetes) Experience working in ecommerce or More ❯
ana ) Logging (ELK , Data do g, OpenSearch ) Databases ( noSql - couchbase , Cassandra, RDS , elasticache , redis ) System Administration (Patching/Upgrading/RCA/Performance Optimisation) Kubernetes (EKS , GKS ) Message queue ( kafka ) Team overview Global Streaming Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale More ❯
professional experience in data engineering roles, preferably for a customer facing data product Expertise in designing and implementing large-scale data processing systems with data tooling such as Spark, Kafka, Airflow, dbt, Snowflake, Databricks, or similar Strong programming skills in languages such as SQL, Python, Go or Scala Demonstrable use and an understanding of effective use of AI tooling More ❯
Uses database migration patterns, such as, "expand and contract" using go-migrate Writing observable and testable code using libraries such as testify and mockgen Publishing and consuming Avro formatted Kafka messages CI/CD GitHub Actions Trunk Based Development & Continuous Delivery Soft skills: Good collaboration skills at all levels with cross-functional teams Highly developed ownerships and creative thinking More ❯
Uses database migration patterns, such as, expand and contract using go-migrate Writing observable and testable code using libraries such as testify and mockgen Publishing and consuming Avro formatted Kafka messages CI/CD GitHub Actions Trunk Based Development & Continuous Delivery Soft skills: Good collaboration skills at all levels with cross-functional teams Highly developed ownerships and creative thinking More ❯
accuracy and throughput Transform prototypes into production-ready data and ML applications that meet throughput and latency requirements Deploy and manage data and ML infrastructure necessary for productionising code (Kafka, Docker, Terraform, etc) Build efficient data pipelines between on-premise and cloud environments to handle text and audio data processing loads for ML models Deploy NLP models in cloud More ❯
s nothing we can't achieve in the cloud. BASIC QUALIFICATIONS 7+ years of technical specialist, design and architecture experience 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience 7+ years of consulting, design and implementation of serverless distributed solutions experience 5+ years of software development with object-oriented language experience 3+ years of cloud-based More ❯
cloud native architecture and cloud integration with telco services. • Comfortable with virtualisation and container orchestration technology. • Experience designing RESTful APIs. • Experience with streaming and messaging systems such as gRPC, Kafka and RabbitMQ. • Experience designing and interfacing with user portals. • Experience with monitoring, telemetry and observability technology and patterns. • Understanding of BSS/OSS systems and their integration with network More ❯
cloud native architecture and cloud integration with telco services. Comfortable with virtualisation and container orchestration technology. Experience designing RESTful APIs. Experience with streaming and messaging systems such as gRPC, Kafka and RabbitMQ. Experience designing and interfacing with user portals. Experience with monitoring, telemetry and observability technology and patterns. Understanding of BSS/OSS systems and their integration with network More ❯
detection, anomaly detection, or similar quality-focused domains. Strong proficiency in Python, SQL, and statistical techniques. Experience with cloud platforms (AWS, Redshift, Azure), g it version control Model automation, Kafka Familiarity with intermediate-level statistics (e.g., KNN, K-means, Bayesian logic). Proven ability to present insights using PowerBI and Excel. Strong problem-solving skills and a collaborative mindset. More ❯
including building, deploying, scaling and securing ML infrastructure in cloud-native environments. • Strong experience with AWS services including SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, DynamoDB, Kafka, CloudFormation and associated technologies such as Python • Proven ability to drive cross functional technical initiatives and deliver results through collaboration and alignment. Disclaimer This job description is a written More ❯
up to date (state of the art), whether we're in the cloud deploying over a 1,000 microservices into AWS, Azure & GCP or streaming billions of messages on Kafka and building event-based solutions. As a Principal Engineer in Data & AI, you will play a pivotal role in driving engineering excellence and innovation within our dynamic and inclusive More ❯
trade-offs Experience collaborating with TPMs and product managers on roadmap planning and prioritization A strong grasp of cloud-native practices and modern dev tooling (we use AWS, Kotlin, Kafka, Terraform, etc.) Experience hiring, developing, and retaining talent in a fast-paced environment An inclusive leadership style that fosters trust, ownership, and team health Why join us? Work on More ❯
including building, deploying, scaling and securing ML infrastructure in cloud-native environments. Strong experience with AWS services including SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, DynamoDB, Kafka, CloudFormation and associated technologies such as Python Proven ability to drive cross functional technical initiatives and deliver results through collaboration and alignment. Disclaimer This job description is a written More ❯
trade-offs Experience collaborating with TPMs and product managers on roadmap planning and prioritization A strong grasp of cloud-native practices and modern dev tooling (we use AWS, Kotlin, Kafka, Terraform, etc.) Experience hiring, developing, and retaining talent in a fast-paced environment An inclusive leadership style that fosters trust, ownership, and team health Why join us? Work on More ❯
