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job summary:
Desired qualifications:
? strong Software engineering experience.
? Expertise in object-oriented programming languages like Java
? Knowledge of build/release systems and processes.
? Deep passion for the infrastructure space and solving complex problems using modern database technology.
? Familiarity with microservice architectures and experience building infrastructure platforms and tools
? Experience with Cloud Computing platforms like AWS and understanding of scaling and reliability concerns.
? Excellent communication and collaboration skills.
? Knowledge of container services (Docker/Kubernetes) is a plus.
Why you'll succeed:
? You are curious about how distributed systems operate and fail at scale.
? You have an automation mindset. You seek to fully understand problems, and then produce workable and efficient solutions.
? You reflect and seek feedback on choices and trade-offs in your design process. ? You seek context to inform your decisions, and you adapt to changes according to the needs of the business.
? You are curious about emerging technologies and are interested in evaluating and adapting where it makes sense.
? You are a team player who enjoys collaborating across engineering teams.
? You are comfortable engaging in product architecture discussions.
? You appreciate working with people from all walks of life, and you work to respectfully engage and collaborate with colleagues regardless of perspective or experience.
Some technologies we work with:
? Java, Kotlin, Typescript
? Snowflake, Scylla, Elasticsearch
? Kafka, Storm
? Docker, Kubernetes
? AWS cloud
location: Nashua, New Hampshire
job type: Permanent
salary: $170,000 - 190,000 per year
work hours: 8am to 5pm
education: Bachelors
responsibilities:
? You will build and support products, platforms and tools that provide high leverage to customers and engineering teams
? You will drive continuous improvements to the reliability, accuracy, performance, security and cost our data infrastructure
? You'll solve business-critical data and distributed systems engineering problems, utilizing the best languages and technologies for the job.
? You work with highly scalable systems that ingest, deduplicate, count, aggregate, store, and archive event data as well as serve real-time analytics insights
qualifications:
