Job Description
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The Role
Find and address performance bottlenecks across APIs, database queries, calculations, and background jobs, with a focus on improving latency, throughput, and resource use.
Improve the data-access layer and gradually evolve a legacy data model that relies heavily on XML and JSON.
Strengthen our queue and asynchronous processing architecture so resource-intensive workloads are separated from customer-facing traffic, calculations complete as close to real time as possible, and retries and failures are handled reliably.
Improve monitoring and observability, establish performance baselines for large workloads, and help the team spot issues before they affect customers.
Operate with a high degree of independence, turning broad performance and scalability goals into technical plans and driving them through production.
Partner with our Data Platform team as AMS becomes an early consumer of Teamworks’ evolving data platform, helping integrate new data capabilities into an established application.
Serve as a trusted technical partner to engineering leadership by reviewing complex architectural changes, mentoring engineers, and helping the team balance immediate scaling needs with longer-term improvements.
What I'm Looking For
What You Must Bring
- 6+ years of backend engineering experience, including ownership of complex systems from design through production
- Strong Java skills and hands-on experience working with and improving established codebases
- Experience with PostgreSQL, RESTful API design, and performance optimization at scale
- Experience operating backend applications in AWS and working effectively with containerized infrastructure and infrastructure-as-code tooling
- US citizenship and US-based residency, which are required for access to the secure environment supported by this role
- Willingness to participate in an on-call rotation
Even Better If
- Experience moving monolithic applications toward containerized or service-oriented architectures
- Experience in data-intensive, high-scale, or security-sensitive environments
- Experience with Python
- A strong understanding of the JVM, including how to troubleshoot memory and CPU issues under load
- A DevOps background and deep experience with AWS
- A bachelor's degree in Computer Science or a related field
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