Diligent Corporation
Tech / AI / Software
StaffSoftwareEngineer(AWS,SQL)
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“Staff Software Engineer (AWS, SQL) at Diligent Corporation. Skills: AWS, SQL, cloud native architecture, data pipelines, APIs, microservices, AI solutions, distributed systems. re-thinking how data is collected, processed and delivered to customers end-to-end. shaping architectures that power feeds, analytics platforms, reports and dashboards”
Industry & Context.
proactive problem solver; pragmatic approach to adopting what works best
work onsite at least 50% of the time
What They're Looking For.
Must Have
Deep background in enterprise software design, implementation, and operation (OOP, commercial environments), Extensive hands-on experience with cloud native architecture and services, ideally on AWS, Foundation in data driven systems: data acquisition, processing pipelines, and customer facing reporting, Proven experience with delivering AI based customer solutions to production, Familiarity with modern data transformation tools such as dbt, Proven expertise with SQL and NoSQL databases, alongside APIs and microservices at scale, Senior engineer mindset: proactive problem solver, comfortable owning outcomes, Leading multiple concurrent projects and ensuring collaboration with a wide range of stakeholders, Passion for continuous improvement—sharing knowledge, refining processes, and raising the bar across teams, Curiosity for new tools and patterns, with a pragmatic approach to adopting what works best
Nice to Have
Experience with TypeScript and Python in production, ideally across data- and service-oriented systems, Hands-on experience with PostgreSQL and SQL workflows, Exposure to cloud data platforms, especially Snowflake, at scale, Comfortable working across the full data lifecycle—from ingestion to analytics and reporting
What You'll Do.
re-thinking how data is collected
processed and delivered to customers end-to-end
shaping architectures that power feeds
reports and dashboards
exploring and applying cloud technologies
influencing technical direction
getting hands-on with code
thriving on data pipelines
cloud-native services
setting technical direction across teams
driving AI-native and cloud-native architecture and long-term system evolution
leading design of secure
and AWS microservices
balancing performance
influencing AI adoption through AI first solution design
and built-in governance and monitoring
shaping roadmaps with Product
high-impact solutions
evaluating and piloting emerging technologies
raising engineering standards
How You'll Work.
Team & Collaboration
influencing technical direction; shaping roadmaps with Product, Security, and DevOps; ensuring collaboration with a wide range of stakeholders; innovative collaborators; fostering collaboration and connection
Communication Scope
sharing knowledge
Process & Methodology
Leading multiple concurrent projects
Full Job Description
Here’s a summary of the role: You’re ready to work at scale — re‑thinking how data is collected, processed and delivered to our customers end‑to‑end. As a Staff Software Engineer working on a building up a cutting edge data ecosystem, you’ll shape architectures that power feeds, analytics platforms, reports and dashboards used by customers every day. You’ll explore and apply cloud technologies, distributed systems, AI solutions, influencing technical direction while still getting hands‑on with code. This role is for you if you thrive on data pipelines, APIs, cloud‑native services, scalability, performance, and reliability, enjoy technical leadership, and want your engineering decisions to have visible impact from ingestion to insight. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Set technical direction across teams, driving ai-native and cloud‑native architecture and long‑term system evolution Lead design of secure, scalable MCP hosts, and AWS microservices, balancing performance, reliability, and cost Influence AI adoption through AI first solution desing, model guidance, prompt strategy, and built‑in governance and monitoring Shape roadmaps with Product, Security, and DevOps to deliver compliant, high‑impact solutions Evaluate and pilot emerging technologies to boost developer productivity and platform capability Mentor engineers, raising engineering standards and fostering ethical, AI‑aware practices These are the essentials you’ll need to get an interview: Deep background in enterprise software design, implementation, and operation (OOP, commercial environments) Extensive hands‑on experience with cloud native architecture and services, ideally on AWS Strong foundation in data driven systems: data acquisition, processing pipelines, and customer facing reporting Proven experience with delivering AI based customer solutions to production Familiarity with modern data transformation tools such as dbt Proven expertise with SQL and No
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