Software Engineer - Platform Infrastructure

Brevian

• $125K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or a related field.
  • 4+ years of experience in backend development, especially with enterprise applications.
  • Proficient in AWS, using tools like Terraform, ECS, S3, RDS, and Opensearch.
  • Experience with big data technologies such as Kafka and Apache Airflow.
  • Familiar with software development lifecycle (SDLC) practices.

Responsibilities

  • Design and maintain scalable, high-availability backend systems.
  • Integrate cloud services within the AWS ecosystem.
  • Implement big data systems and manage data pipelines.
  • Ensure application data security and compliance.
  • Identify and resolve performance bottlenecks in collaboration with teams.
  • Stay informed about advancements in backend development and big data.
  • Mentor junior engineers within the team.

Benefits

  • Generous compensation and equity options.
  • Flexible time off policy.
  • Opportunities for personal and professional growth in a startup environment.
  • Work with a team comprising experienced engineers from noteworthy companies.
  • Involvement in cutting-edge AI security development.
Full Job Description
Job title

Software Engineer - Platform Infrastructure

Position overview

We are looking for an experienced Backend Engineer to join our Engineering team. The ideal candidate will have a strong background in developing scalable, high-performance backend systems, with a particular focus on enterprise infrastructure. With our company's growing reliance on cloud technologies, especially AWS, and big data systems, your role will be pivotal in shaping the backbone of our tech infrastructure.

Key responsibilities

  • Design, develop, and maintain scalable, high-availability backend systems.
  • Work closely with the development team to integrate cloud services and solutions, specifically within the AWS ecosystem.
  • Implement and manage big data systems, including but not limited to Kafka, EMR, and data pipelines, to support data-driven decision-making.
  • Ensure the security and integrity of application data in compliance with industry standards.
  • Collaborate with cross-functional teams to identify and resolve performance bottlenecks.
  • Stay updated on new technologies and methodologies in backend development, cloud services, and big data.
  • Provide technical mentorship to junior team members.

Qualifications

Basic Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 4+ years of experience in backend development, preferably with enterprise-level applications.
  • Proficient in cloud technologies, particularly AWS (Amazon Web Services) related technologies such as Terraform, ECS, S3, RDS, and Opensearch.
  • Solid experience with big data systems, including Kafka, Apache Airflow, and building data pipelines.
  • Experience with software development lifecycle (SDLC) practices, including coding standards, code reviews, source control management, build processes, and testing.


Preferred Qualifications

  • Knowledge of Large Language Models (LLMs) is a significant plus.
  • Strong analytical skills and the ability to tackle issues with innovative solutions.
  • Security background and experience developing secure applications for enterprises is a plus.
  • Ability to work in a fast-paced and dynamic environment and have a growth mindset.


We are a very well funded seed stage startup. You get to experience the 0-1 of building a startup, working with talented engineers from Databricks, LinkedIn, MoveWorks, and AWS .

We offer generous compensation, equity, benefits, perks and flexible time off.

This is an exciting opportunity to ensure generative AI delivers tremendous value safely and securely. Please contact us if you have the skills and passion for this position at the cutting edge of AI security.

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