Full-Time

Senior Software Engineer

Clojure

Posted on 10/3/2025

Qlik

Qlik

1,001-5,000 employees

Cloud-based data integration and analytics platform

Compensation Overview

CA$140k - CA$150k/yr

Ottawa, ON, Canada

In Person

Category
Software Engineering (2)
,
Required Skills
Kubernetes
Microsoft Azure
Python
NoSQL
SQL
Java
Docker
Microservices
AWS
DevOps
Linux/Unix
Data Analysis
Google Cloud Platform
Requirements
  • 7+ years of software engineering experience with significant hands-on development.
  • Functional programming paradigms with deep expertise in Clojure, alongside strong capabilities in Java and Python.
  • Distributed systems and microservices architecture.
  • Understanding containerization and deployment on Linux using technologies such as Docker and Kubernetes.
  • Designing, deploying, and maintaining cloud infrastructure and services across major platforms (AWS, Azure, Google Cloud).
  • Software design patterns and architectural principles.
  • Performance optimization and scalability engineering.
  • Full-stack development with emphasis on backend systems.
  • Database design and optimization (SQL and NoSQL).
  • CI/CD pipelines and DevOps practices.
  • Code quality, testing strategies, and engineering best practices.
  • Technical documentation and knowledge sharing.
  • Experience building large-scale data processing or analytics systems.
  • Contributions to open-source projects or technical communities.
  • Track record of improving system performance and reliability.
  • Background in data business intelligence or analytics platforms.
Responsibilities
  • Shape the technical direction of products used by thousands of organizations worldwide.
  • Mentor the next generation of engineering talent at Qlik.
  • Drive innovations that directly impact customer success and satisfaction.
  • Establish engineering standards that scale across our global development teams.
  • Solve complex technical challenges at the intersection of data, analytics, and visualization.
  • Participating in all aspects of software engineering including designing, planning, coding, verifying, integrating, releasing, monitoring, supporting and maintaining.
  • Lead by example through hands-on coding, code reviews, and technical mentorship.
  • Drive technical decisions and establish engineering best practices across teams.
  • Architect scalable, performant solutions while maintaining code quality and reliability.
  • Prototype and validate new technologies through proof-of-concepts and experiments.
  • Take ownership of infrastructure design and maintenance, continuously improving deployment pipelines, system architecture, and operational efficiency.
  • Solve our most challenging technical problems with innovative approaches.
  • Evaluate and implement new technologies that enhance our platform capabilities.
  • Collaborate with Product Management to translate business requirements into technical solutions.
  • Assess technical trade-offs and their impact on development timelines and system performance.
  • Champion non-functional requirements including security, scalability, and maintainability.
  • Mentor junior engineers and elevate the technical capabilities of the team.
  • Lead technical design sessions and architectural reviews.
  • Foster a culture of engineering excellence and continuous learning.
  • Guide teams through complex technical challenges and implementations.
  • Build consensus on technical approaches while knowing when to make decisive calls.
  • Serve as a key team contributor while actively embracing our pair programming practices and agile development methodology.
Desired Qualifications
  • Contributions to open-source projects or technical communities.
  • Background in data business intelligence or analytics platforms.

Qlik provides a cloud-based data integration and analytics platform that helps businesses uncover insights and take timely actions. It connects data from multiple sources in real time and enables AI-driven analytics and collaborative intelligence, so teams can work together on data-driven decisions. The product lives in the cloud and is delivered via subscription, with customers ranging from large enterprises in healthcare, retail, and finance. What sets Qlik apart is its end-to-end platform for real-time data integration and analytics designed for collaboration across departments, rather than isolated tools. Its goal is to turn raw data into actionable insights that improve operational efficiency, reduce costs, and drive innovation.

Company Size

1,001-5,000

Company Stage

Acquired

Total Funding

$3.1B

Headquarters

Upper Merion Township, Pennsylvania

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • 75% Fortune 500 adoption drives subscription revenue from AI analytics.
  • ServiceNow partnership embeds Qlik data into enterprise AI workflows.
  • Regional AWS expansions in Tel Aviv and São Paulo boost regulated market share.

What critics are saying

  • Databricks erodes Talend integration in 6-12 months via native tools.
  • Open protocols commoditize Qlik features, enabling swaps in 12-24 months.
  • Snowflake data quality undercuts Trust Score premiums in 12-18 months.

What makes Qlik unique

  • Qlik AI Sovereignty Initiative enables governed agentic AI under data residency rules.
  • Qlik Trust Score measures data product reliability across accuracy and timeliness.
  • Qlik achieved ISO/IEC 42001:2023 certification for AI management systems.

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Benefits

Flexible Work Hours

Professional Development Budget

Hybrid Work Options

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

2%

2 year growth

0%
The Associated Press
Apr 14th, 2026
Qlik launches Trust Score and Data Product Agent to operationalise AI governance

Qlik has announced expanded trust and governance capabilities for AI centred on data products and operational controls. The company is introducing tools to help teams monitor and govern data products that feed analytics and AI workflows. Key features include Data Product Agent for creating and managing data products using natural language, Qlik Trust Score to evaluate data products across accuracy and timeliness, and data contracts defining operational expectations. The release also adds service-level objectives, anomaly detection and AI-enabled stewardship capabilities. The announcement came at Qlik Connect 2026 in Kissimmee, Florida. CEO Mike Capone stated that as AI moves from answers into decisions, data products require the same accountability as production assets. Qlik is used by 75% of Fortune 500 companies.

The Associated Press
Apr 14th, 2026
Qlik launches agentic AI tools to speed up data engineering workflows

Qlik has announced new agentic execution capabilities for data engineering, designed to help teams create and deliver AI-ready data faster. The company introduced declarative pipelines using natural language, an AI Assistant for Talend Studio, real-time routing for agentic processes, and Open Lakehouse Streaming for unified event data. The tools aim to reduce manual pipeline work and help data teams move towards an agent-assisted model. Qlik CEO Mike Capone said data engineering has become critical as AI demand rises, with companies struggling to deliver trusted data rather than imagining use cases. The announcement was made at Qlik Connect 2026 in Florida. Qlik, used by 75% of the Fortune 500, is expanding its platform to support AI workloads whilst maintaining data quality and control.

MarTech360
Apr 14th, 2026
Qlik and ServiceNow join forces to strengthen ai-driven enterprise workflows.

Qlik and ServiceNow join forces to strengthen ai-driven enterprise workflows. As part of this initiative, Qlik has made a strategic tie-up with ServiceNow to facilitate the inclusion of trusted enterprise context within AI-based workflows that help enterprises make quick decisions. With this tie-up, Qlik intends to narrow the gap that exists between insights obtained from data and workflows through the use of ServiceNow's Workflow Data Fabric and Qlik's analytics, integration, and artificial intelligence offerings. Through this partnership, enterprises will be able to augment their automated workflows and AI agents with context to allow systems to detect patterns, insights, and recommended courses of action. The collaboration would be especially relevant for those organizations seeking to integrate AI on an organizational level through automation since it will allow making automation-based decisions using reliable and enterprise-class data and not limited to certain data pools. As the analytics solution provider, Qlik aims to help automate and speed up decisions made in various areas, such as IT support, customer services, and other operations by bringing analytics closer to operations. This means that contextual AI would become the next step for enterprises.

The Associated Press
Apr 13th, 2026
Qlik partners with ServiceNow to embed trusted enterprise data into AI-powered workflows

Qlik has partnered with ServiceNow to integrate trusted enterprise data into AI-powered workflows and decision-making processes. The collaboration combines ServiceNow's Workflow Data Fabric with Qlik's analytics engine to deliver richer context from ERP, CRM, supply chain and other enterprise systems. The partnership introduces Qlik metadata collectors for ServiceNow Data Catalog, improving data discovery, lineage visibility and governance. Qlik's analytics engine will send insights directly into ServiceNow workflows and AI agents, enabling better decision-making through cross-system relationships and operational context. The announcement was made at Qlik Connect 2026 in Florida. Qlik, used by 75% of Fortune 500 companies, aims to help enterprises scale AI responsibly whilst maintaining data governance and control across operations.

Qlik
Apr 7th, 2026
Organizations expand use of agentic analytics as Qlik customers bring ai-driven decision workflows into production.

Organizations expand use of agentic analytics as Qlik customers bring ai-driven decision workflows into production. Early deployments combine Qlik's analytics engine, curated knowledge, and governed data with transparent AI reasoning to support operational decision-making April 7, 2026 Key takeaways: * New capabilities expand the agentic analytics experience: Qlik recently introduced Discovery Agent, extending its agentic analytics platform and giving organizations new ways to operationalize AI-driven insights across analytics and decision workflows. * Global leaders are putting agentic analytics into practice: Companies including Compass Healthcare, Malmö Redhawks and Bystronic Group are deploying Qlik's agentic analytics capabilities to bring trusted, explainable AI into real business processes. * Open integration brings governed analytics into AI assistants: Through its Model Context Protocol (MCP) server, Qlik enables third-party assistants and AI agents to securely access Qlik analytics and governed enterprise data, expanding how teams interact with insights across applications and workflows. Philadelphia, PA - Organizations are beginning to operationalize agentic analytics across real decision workflows with Qlik Answers(R), hosted on Qlik Cloud(R), as the unified conversational interface. Qlik is seeing growing adoption of its agentic analytics capabilities as customers deploy them in production environments, bringing trusted, AI-driven insights directly into everyday business processes. Introduced earlier with the general availability of agentic analytics and the launch of the Model Context Protocol (MCP) server for third-party assistants, these capabilities enable organizations to combine AI reasoning with governed analytics and curated enterprise knowledge. In March, Qlik expanded these capabilities with the general availability of Discovery Agent. Together, they represent a shift toward AI systems that don't just generate responses, but can analyze trusted data, explain their conclusions and integrate directly into operational workflows. "Organizations are looking for AI that doesn't just provide answers, but that can reason through complex data and clearly display the reasoning," shared Brendan Grady, General Manager, Analytics Business Unit at Qlik. "What we're seeing now is organizations putting agentic analytics into real workflows, connecting AI reasoning with trusted data and governance so teams can confidently act on insights." Customer perspectives. * Max Mosky, SVP, Strategy & Innovation, Compass Healthcare: "The beauty of Qlik Answers is that it makes both our documentation and structured data accessible through a conversational interface. Instead of spending time searching for information or analyzing data, teams can stay focused on driving outcomes for our business." * Andreas Hadelöv, Assistant General Manager, Malmö Redhawks: "In elite sport, there is no shortage of data. The hard part is making it useful in the moment and consistent across the organization. What is promising here is the open way Qlik is connecting analytics to emerging assistants and agents, because that gives teams a realistic way to experiment and evolve without rebuilding everything around one vendor." * Stefan Heinz, Senior BI Analytics Specialist, Bystronic Group: "We saw the potential for Qlik Answers immediately. We easily connected it to SharePoint, and within 15 minutes, we had a chatbot running. People were already impressed with what they saw." These early implementations illustrate how agentic analytics can help teams move from insight to action faster by embedding reasoning-based AI directly into analytics and decision processes. By grounding AI outputs in governed data products and the associative logic of the Qlik Analytics Engine, organizations can maintain transparency, explainability, and consistency with established business logic. As organizations continue to move from AI pilots to production deployments, Qlik is expanding its agentic ecosystem with additional agents focused on areas such as data discovery, data quality, and pipeline monitoring, along with broader integrations through the Model Context Protocol. About Qlik. Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 customers globally, its portfolio provides advanced, enterprise-grade AI/ML, data integration, and analytics. Its AI/ML tools, both practical and scalable, lead to better decisions, faster. Qlik excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. As strategic partners, its platform-agnostic technology and expertise make its customers more competitive. (C) 2026 QlikTech International AB. All rights reserved. All company and/or product names may be trade names, trademarks and/or registered trademarks of the respective owners with which they are associated.

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