At LeoTech, we are passionate about building software that solves real-world problems in the Public Safety sector. Our software has been used to help the fight against continuing criminal enterprises, drug trafficking organizations, identifying financial fraud, disrupting sex and human trafficking rings and focusing on mental health matters to name a few.
Requirements
- At least 6+ years of back-end development experience, with a solid understanding of data structures, distributed systems and system design.
- A good understanding of system design and running server-less workloads at scale is essential for this role.
- Proficiency with programming languages such as Elixir, Java, C++, Go or similar languages.
- Experience with PostgreSQL, ElasticSearch and KV stores.
- Proficiency working with AWS Serverless workflows like Lambdas, Step-Functions etc.
- Experience with streaming technologies with working knowledge of frameworks like Kafka, Kinesis or similar technologies.
- Terraform, CloudFormation, Ansible are leveraged for our Infrastructure deployment and automation.
Responsibilities
- architecting, building and maintaining our mission-critical backend services that allows our users to gain actionable insight from our unique dataset(s).
- creating new solutions as our product grows. These solutions could range from non-trivial search/data-mining needs, to, working on solving multi-tenancy challenges when saving and serving customer data.
- participate in all stages of the product development and deployment lifecycle. To achieve this will include idea generation, planning, design, prototyping, execution, shipping and iteration.
Other
- This is a remote, WFH role.
- Strong engineering background in fields such as Computer Science, Software Engineering and Mathematics.
- Good understanding of how technical decisions impact the people who will use what you're building.
- Experience with different Agile methodologies and familiarity with JIRA and Confluence.
- Skill and comfort working in a fast-paced environment with dynamic objectives and quick iterations.
