What are the responsibilities and job description for the Senior Software Engineer, Platform position at Muck Rack?
We’re looking for a collaborative and self-motivated Senior Software Engineer to join our growing team and make a big impact.
As a senior software engineer on the Platform team, you’ll work closely with engineers on various teams to help further the core elements of our application stack. You’ll contribute to technical projects that help all feature teams deliver value to our customers. Our tech stack uses Python, Django, Kafka, MySQL, Elasticsearch, Vue, and Webpack. Our technology team is focused on scale, quality, delivery, and thoughtful customer experience. We ship frequently without sacrificing work/life balance.
What You’ll do:
- Design, build, and maintain core components that are used across multiple feature teams that ultimately drive customer features and value
- Help curate frameworks, tooling, and best practices to enhance developer productivity and improve system reliability
- Help champion new technology by evaluating and integrating emerging technologies that benefit the broader engineering organization
- Advocate for and contribute to automation and observability to support scalability and maintainability
- Collaborate closely with feature teams to understand their pain points and provide solutions that simplify development and deployment processes
- Improve CI/CD pipelines to enhance deployment speed, reliability, and developer experience
- Drive and support engineering best practices, including code quality, security, and performance optimizations
To be set up for success in this role, you’ll need to have:
- 5 years of professional experience as a software engineer
- Strong background in Python and its ecosystem
- Experience with Django or similar web frameworks (FastAPI, Flask, etc.)
- Hands-on experience in designing, building, and maintaining microservices, including monitoring, scaling, and operationalizing them
- Experience working with high-traffic, complex web applications or SaaS platforms, ideally with large data volumes
- Expertise in optimizing databases such as MySQL (or Postgres) and/or Elasticsearch/OpenSearch
- Familiarity with gRPC/protobuf
If any of the below also describe you, this could be an exciting opportunity:
- Experience with Kafka or related streaming technologies (Kinesis, Flink, Beam)
- Familiarity with Kubernetes and container orchestration
In addition, we’re always looking for candidates who:
- Take ownership of their work, proactively identifying and solving issues without waiting for direction
- Foster a collaborative and supportive engineering culture by providing clear and constructive feedback
- Communicate transparently, keeping stakeholders informed about technical decisions, risks, and progress
- Seek continuous improvement, both personally and within the team, by embracing new ideas, tools, and methodologies
- Strive to be in service to other developers by building tools and frameworks that make their work more efficient and enjoyable
- Take pride in the quality of their code. (Your code should be readable, testable, and understandable years later. You adhere to the Zen of Python.)
- Work well in a fast-paced development environment with testing, continuous integration and multiple daily deploys
- Take a logical approach to problem-solving that combines analytical thinking and intuition
Interview Overview
Below you'll find an outline of the interview plan for this role. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.
- 30 min interview with a member of our Talent Team
- 1 hour zoom interview with the hiring manager
- Take-home coding assignment (2 hours max)
- Peer interviews, including a 30 min code review discussion
- Final call(s) with executive team member(s)
Salary
In the US, the base salary for this role is between $140,000 and $170,000, depending on skills and experience. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. For all other countries, we have competitive pay bands based on market standards.
Individual compensation decisions are based on a number of factors, including experience level, skillset, and balancing internal equity relative to peers at the company. We expect the majority of the candidates who are offered roles at our company to fall healthily throughout the range based on these factors. We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate.
Salary : $140,000 - $170,000