Top Tech Jobs & Startup Jobs in Calgary

Lead development of Elasticsearch search relevance and vector search features. Design and implement new search algorithms and data structures, fix complex bugs, improve Lucene, collaborate with a globally distributed team, engage with the community on issues and PRs, and write idiomatic modern Java.

Plan, produce, and govern demand-generation content for enterprise SaaS: write, edit, and adapt assets (including agency- and AI-built content); manage publishing calendar in Adobe Workfront; monitor performance with GA4, SEMRush AIO, and Looker; optimize SEO and discoverability; coordinate cross-channel distribution with campaigns, SEO, social, product marketing, and paid media.

Own channel motion for Canada: generate partner-sourced pipeline, build territory and partner plans, onboard and enable partners, manage deal execution and registrations, ensure pipeline hygiene and reporting, and coordinate cross-functionally to accelerate partner-influenced bookings.

The Principal Software Engineer will enhance vector similarity search functionality in Elasticsearch, lead initiatives, improve search algorithms, and collaborate with a distributed team.

Design, implement, and optimize Elasticsearch core storage and query engine components for logs/metrics workloads. Lead architecture, resolve performance bottlenecks, improve storage efficiency and query execution, mentor engineers, collaborate across distributed teams, triage community issues, and write idiomatic modern Java.

Lead development of core Elasticsearch infrastructure and shared platform features. Design scalable APIs, solve performance and concurrency issues, improve observability and CI/CD, support cross-team projects, and own operational investigations end-to-end.

Drive architecture and design of Elasticsearch core storage and query engine for logs and metrics. Improve storage efficiency, indexing layouts, serialization, and performance; lead cross-team initiatives; mentor engineers; triage community issues; and write idiomatic modern Java.

The Senior Java Developer will enhance Elasticsearch's distributed systems, maintain high performance, and solve complex problems related to data indexing and coordination across multiple machines.

Design, implement, and maintain Elasticsearch distributed-systems components to ensure scalable, performant, and resilient indexing, coordination, replication, and cluster communication. Diagnose and fix concurrency and performance issues, push scalability limits, and lead projects end-to-end while supporting support engineers and mentoring engineers across multi-node deployments.