Atlassians can choose where they work – whether in an office, from home, or a combination of the two.
That way, Atlassians have more control over supporting their family, personal goals, and other priorities.
We can hire people in any country where we have a legal entity.
Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team Loom is the video communication platform for async work that helps companies communicate better at scale.
The Media & Intelligence Team lives at the heart of Loom's product development, providing a set of libraries, services, platforms, and APIs used across our systems to power recording, playback, editing, and advanced AI features.
We are looking for a senior software engineer to contribute to our media systems.
You will report to the Senior EM of this team and collaborate with broad cross-functional teams.
This role can be remote or work from one of Atlassian's US offices.
What you'll do Build the server-side and client-side infrastructure that enables engineering teams to build world-class video messaging products.
Design and implement media features that delight our users and differentiate Loom's products and services from our competitors.
Uphold a high standard of engineering excellence because the performance and reliability of media infrastructure directly impact our product experience, hence the perception of Loom's overall brand.
Diagnose and improve the quality of the end-to-end video experience.
Optimize our media pipelines to be performant across all the platforms.
Display strong ownership and influence over the team's roadmap.
Your background Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
5+ years of professional experience in software development, with a strong emphasis on distributed systems.
Be familiar with media processing API for Mac OS (AVFoundation/Video Tool Box) and Windows (Microsoft Media Foundation) Know video/audio coding concepts: codecs (H264/H265, AAC), containers (TS, MP4) Be fluent in C++17 or newer: multithreading, real time systems, ASIO Know your way around ffmpeg/ffprobe: transcode to different resolutions, change formats, apply time offsets, apply filters, inspect media files Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Docker, Kubernetes).
Deep understanding of backend technologies and service architectures.
Solid understanding of database technologies and data modeling.
Strong problem-solving skills and ability to debug complex issues in a distributed environment.
Excellent communication skills and ability to collaborate effectively with cross-functional teams.
Compensation At Atlassian, we strive to design equitable and explainable compensation programs.
To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline.
Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience.
In the United States, we have three geographic pay zones.
For this role, our current base pay ranges for new hires in each zone are: Zone A: $176,200 - $234,900 Zone B: $158,600 - $211,500 Zone C: $146,300 - $195,000 This role may also be eligible for benefits, bonuses, commissions, and equity.
About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team.
Our software products help teams all over the planet and our solutions are designed for all types of work.
Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success.
To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process.
Simply inform our Recruitment team during your conversation with them.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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