Senior Software Engineer
YOUR ROLE & MISSION
As a Senior Software Engineer, you will be a critical part of our growing company, working on a cross-functional team to implement best practices in technology, architecture, and process. You’ll have the chance to work in an open and collaborative environment, receive and give hands-on mentorship, and have opportunities to grow and accelerate your career. You love both learning and teaching.
In this role, you will work across two high-impact domains: data platform architecture and integrations with distributed systems building the infrastructure that powers Apollo’s AI-driven internal products. On the data side, you’ll organize and make sense of data at scale, working closely with our data engineering team to structure pipelines and enable intelligent product experiences. On the integrations side, you’ll own the connections layer and the distributed architecture that keeps Apollo reliably linked to the broader ecosystem at high throughput.
You enjoy working cross-functionally to solve hard problems and make an impact. At Apollo, you strive for quality and are obsessed with improving automation, squashing bugs, and investigating performance improvements and innovative ideas. You bring an AI-first mindset to everything you do, reaching for AI tools as naturally as any other part of your workflow and helping the team do the same.
Our tech stack: React.js / TypeScript · Python · GoLang · MongoDB · Elasticsearch · Redis · Kafka · Kubernetes / Docker · GCP · Terraform / Ansible · Grafana / Kibana · GitHub Actions
DAILY ADVENTURES & RESPONSIBILITIES
Design and implement highly scalable backend services, data pipelines, and integration endpoints that perform reliably at high volume
Gather product and engineering requirements; write design documents and drive technical discussions to align cross-functional stakeholders
Drive and lead the full software development lifecycle: product requirements, architecture, solution design, development, quality assurance, and maintenance
Build systems with observability as a first-class concern proper monitoring, alerting, and dashboards so issues are caught before customers notice
Mentor others on best practices and effectively share knowledge across the engineering team
Communicate development progress clearly to product leads, engineering managers, and other stakeholders
Be comfortable introducing new technologies and new ideas as required, including AI tools that accelerate your workflow and the team’s
Navigate ambiguity and roadblocks proactively when a project hits a wall, you find a path forward and maintain cadence
Work effectively as part of a large global team, attending scrum ceremonies, team events, and manager 1:1s
Provide and respond to technical and behavioral feedback from managers and peers in written and verbal form
COMPETENCIES
Proactively acts without being told what to do; identifies areas for improvement and drives best practices to deliver high-quality, performant, and scalable solutions
Develops services that are highly available and scalable with proper monitoring and alerting in place
Able to up-level the team by sharing knowledge and best practices across the engineering organization
Able to deal with ambiguity and maintain momentum on projects even when hitting obstacles months in
Full ownership of projects from start to finish because deployment is not the finish line
Organized and able to effectively plan and break down large projects into smaller tasks that are easier to estimate and deliver
Listens actively and seeks to understand others’ viewpoints before responding
A creative and innovative problem solver with previous experience working in an agile, startup environment
Confident in owning your role and bringing creative ideas to the hands of users
AI-native working style: habitually leverages AI tools across coding, debugging, review, and documentation, and stays current with emerging capabilities
QUALIFICATIONS
Minimum 5 years of industry experience in backend development, at least 1-2 years in senior positions, developing large-scale applications
Experience developing distributed web applications at scale
Code that is comprehensible, well-structured, and highly performant
Experience with database modeling (SQL or NoSQL)
Experience using and designing RESTful services
Strong knowledge of computer science fundamentals, including data structures, algorithms, and object-oriented design
Proven experience leveraging AI tools to enhance software development processes, including code generation, debugging, and productivity optimization, with a willingness to stay current with emerging AI technologies
Background in fast-scaling startup or high-velocity environments where going beyond your job title was the norm
Must have: Communication Skills, Problem Solving, Proactivity, Team Player, Listening Skills, Creativity and Innovation, Organization and Planning, Dealing with Ambiguity, Ownership of projects from start to finish, Distributed Web Development
Nice to have: BS or MS degree in Computer Science, Computer Engineering or similar, GCP, Kubernetes, Docker, Mongo, Redis, Ruby on Rails, Microservices, Machine Learning