

DeepIntent
https://deepintent.com/careersAbout
DeepIntent is the leading independent healthcare marketing technology company built purposefully to influence patient health and business outcomes. The DeepIntent Healthcare Marketing Platform is the first and only platform that uniquely combines real-world health data, premium media partnerships, and custom integrations to reach patients and providers across any device. This enables healthcare marketers to plan, activate, optimize and measure campaigns that drive measurable patient and business outcomes, all within a single platform. DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data.
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Candid answers by the company
The DeepIntent Healthcare Marketing Platform is the first and only platform that uniquely combines real-world health data, premium media partnerships, and custom integrations to reach patients and providers across any device. This enables healthcare marketers to plan, activate, optimize and measure campaigns that drive measurable patient and business outcomes, all within a single platform.
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Jobs at DeepIntent

DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data. For more information visit, www.DeepIntent.com.
What You’ll Do:
In this role, you will take the lead in designing, building, and optimising high-performance backend systems and micro-services architecture. As a Tech Lead, you will mentor and guide a team of backend engineers, collaborate with cross-functional teams, drive technical excellence, and establish best practices for system design and engineering.
Leadership & Mentorship
- Lead and mentor a team of engineers, ensuring technical excellence, code quality, and continuous improvement.
- Provide guidance on complex technical issues, system design challenges, and architectural decisions.
- Foster a culture of collaboration, innovation, and knowledge sharing within the team.
- Develop and maintain backend engineering processes, practices, and coding standards across the team.
- Conduct regular code reviews and provide constructive technical feedback to team members.
- Actively mentor engineers on advanced design patterns, micro-services architecture, and best practices.
System Architecture & Engineering
- Design and develop robust, scalable, and efficient micro-services architecture and backend systems.
- Architect solutions that support high-throughput, low-latency operations across the healthcare domain.
- Translate business requirements into detailed technical designs, system diagrams, and implementation plans.
- Ensure seamless integration of backend services with frontend applications, data pipelines, and third-party APIs.
- Optimize system performance, scalability, and resource utilisation.
- Implement comprehensive testing strategies, including unit tests, integration tests, and end-to-end tests.
Technology Stack & Implementation
- Lead the selection and implementation of appropriate backend technologies and frameworks.
- Proficiency with Java, Spring Boot, and Spring Framework for building enterprise-grade applications.
- Design and implement event-driven architectures using Apache Kafka for real-time data processing and asynchronous communication.
- Strong expertise in database design, optimisation, and management (SQL and NoSQL databases).
- Experience with cloud platforms (AWS/GCP) for deploying and scaling backend services.
- Hands-on experience with containerisation technologies (Docker, Kubernetes).
- Proficiency in version control, build tools, and automation frameworks.
Collaboration & Stakeholder Management
- Work closely with Product Managers, Data Scientists, Frontend Engineers, and Business Stakeholders to understand requirements and deliver solutions that meet business needs.
- Participate in cross-functional design reviews and architecture discussions.
- Collaborate with the Data Engineering and Analytics teams to ensure smooth integration of data services.
- Communicate technical decisions and trade-offs effectively to both technical and non-technical audiences.
- Participate in Agile ceremonies and ensure technical alignment with sprint goals.
Continuous Improvement
- Stay updated with the latest trends in backend engineering, cloud technologies, and micro-services architecture.
- Drive automation, testing, and optimisation within backend systems to improve efficiency and reliability.
- Participate in architectural reviews and design discussions for cross-team initiatives.
- Identify technical risks early and develop mitigation strategies.
- Maintain comprehensive system documentation and architecture decision records (ADRs).
Who You Are:
- Bachelor’s degree in engineering (CS / IT) or equivalent degree from a well-known Institute / University.
- 5+ years of experience in backend software engineering or related roles.
- 2+ years of experience in a technical leadership or senior engineering position with experience managing, mentoring and coaching a team of engineers.
- Extensive experience designing and implementing micro-services architecture.
- Strong background with event-driven architectures and message-broker systems (Kafka, RabbitMQ).
- Deep expertise in relational database design, optimisation, and management (PostgreSQL, MySQL, Oracle).
- Experience with big data analytics databases (Clickhouse, Druid, etc.).
- Proven ability to mentor and guide other engineers in technical problem-solving.
- Demonstrated success in leading technical initiatives and driving architectural decisions.
- Expert-level proficiency in Java and Spring Boot framework.
- Strong understanding of micro-services architecture patterns, design patterns, and SOLID principles.
- Hands-on experience with Apache Kafka for building event-driven systems.
- Proficient in SQL and database optimisation.
- Strong fundamentals in data structures, algorithms, and system design.
- Experience with cloud platforms (AWS/GCP/Azure) for deploying and managing services.
- Familiarity with containerisation and orchestration tools (Docker, Kubernetes).
- Experience with monitoring, logging, and observability tools (ELK Stack, Prometheus, Grafana, etc.).
- Version control expertise (Git, GitHub, GitLab).
- Strong understanding of security best practices and compliance requirements.
- Excellent problem-solving and analytical skills with ability to break down complex problems.
- Strong communication and interpersonal skills, with ability to work effectively with technical and non-technical stakeholders.
- Ability to manage multiple priorities in a fast-paced, dynamic environment.
- Strong mentoring and leadership capabilities.
- Collaborative mindset with a focus on team growth and development.
- Strong sense of ownership and accountability for deliverables.
Who we are:
DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data. For more information visit, www.DeepIntent.com.
Who you are:
- 5+ years of software engineering experience with 2+ years in senior technical roles
- Proven track record designing and implementing large-scale, distributed backend systems
- Experience leading technical initiatives across multiple teams
- Strong background in mentoring engineers and driving technical excellence
- Programming Languages: Expert-level proficiency in Java and Spring Boot framework
- Framework Expertise: Deep experience with Spring ecosystem (Spring Boot, Spring Security, Spring Data, Spring Cloud)
- API Development: Strong experience building RESTfuI APIs, GraphQL endpoints, and micro-services architectures
- Cloud Platforms: Advanced knowledge of AWS, GCP, Azure and cloud-native development patterns
- Databases: Proficiency with both SQL (PostgreSQL, MySQL, Oracle) and NoSQL (MongoDB, Redis, Cassandra) databases, including design and optimization
- Bachelor's or Master's degree in Computer Science, Engineering, Software Engineering, or related field (or equivalent industry experience)
- Excellent technical communication skills for both technical and non-technical stakeholders
- Strong mentorship abilities with experience coaching junior and mid—level engineers
- Proven ability to drive consensus on technical decisions across teams
- Comfortable with ambiguous problems and breaking down complex challenges
What You'll Do:
- Lead design and implementation of complex backend systems and micro-services serving multiple product teams
- Drive architectural decisions ensuring scalability, reliability, and performance
- Create technical design documents, system architecture diagrams, and API specifications
- Champion engineering best practices including code quality, testing strategies, and security
- Partner with Tech Leads, Engineering Managers, and Product Managers to align solutions with business objectives
- Lead technical initiatives requiring coordination between backend, frontend, and data teams
- Participate in architecture review boards and provide guidance for organisation-wide initiatives
- Serve as technical consultant for complex system design problems across product areas
- Mentor and coach engineers at various levels with technical guidance and career development
- Conduct code reviews and design reviews, sharing knowledge and raising technical standards
- Lead technical discussions and knowledge-sharing sessions
- Help establish coding standards and engineering processes
- Design and develop robust, scalable backend services and APIs using Java and Spring Boot
- Implement comprehensive testing strategies and optimise application performance
- Ensure security best practices across all applications
- Research and prototype new approaches to improve system architecture and developer productivity
What you'll do:
- Mandatory - Experience & hands-on experience in setting up, optimizing, and securing analytical distributed data sources such as ClickHouse, Druid, or similar distributed database systems. Intermidiate DBA skills required.
- Deploy, configure, and maintain Kubernetes clusters for our microservices architecture.
- Utilize Git and Helm for version control and deployment management.
- Implement and manage monitoring solutions using Prometheus and Grafana.
- Work on continuous integration and continuous deployment (CI/CD) pipelines.
- Containerize applications using Docker and manage orchestration.
- Manage and optimize AWS services, including but not limited to EC2, S3, RDS, and AWS CDN.
- Maintain and optimize MySQL databases, Airflow, and Redis instances.
- Write automation scripts in Bash or Python for system administration tasks.
- Perform Linux administration tasks and troubleshoot system issues.
- Utilize Ansible and Terraform for configuration management and infrastructure as code.
- Demonstrate knowledge of networking and load-balancing principles.
- Collaborate with development teams to ensure applications meet reliability and performance standards.
Additional Skills (Good to Know):
- Familiarity with ClickHouse and Druid for data storage and analytics.
- Experience with Jenkins for continuous integration.
- Basic understanding of Google Cloud Platform (GCP) and data center operations.
Who you are:
- Minimum 3 years of experience in a Site Reliability Engineer role or similar.
- Proven experience with Kubernetes, Git, Helm, Prometheus, Grafana, CI/CD, Docker, and microservices architecture.
- Strong knowledge of AWS services, MySQL, Airflow, Redis, AWS CDN.
- Proficient in scripting languages such as Bash or Python.
- Hands-on experience with Linux administration.
- Familiarity with Ansible and Terraform for infrastructure management.
- Understanding of networking principles and load balancing.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
What You’ll Do:
* Establish formal data practice for the organisation.
* Build & operate scalable and robust data architectures.
* Create pipelines for the self-service introduction and usage of new data.
* Implement DataOps practices
* Design, Develop, and operate Data Pipelines which support Data scientists and machine learning Engineers.
* Build simple, highly reliable Data storage, ingestion, and transformation solutions which are easy to deploy and manage.
* Collaborate with various business stakeholders, software engineers, machine learning engineers, and analysts.
Who You Are:
* Experience in designing, developing and operating configurable Data pipelines serving high volume and velocity data.
* Experience working with public clouds like GCP/AWS.
* Good understanding of software engineering, DataOps, data architecture, Agile and DevOps methodologies.
* Experience building Data architectures that optimize performance and cost, whether the components are prepackaged or homegrown.
* Proficient with SQL, Java, Spring boot, Python or JVM-based language, Bash.
* Experience with any of Apache open source projects such as Spark, Druid, Beam, Airflow etc. and big data databases like BigQuery, Clickhouse, etc
* Good communication skills with the ability to collaborate with both technical and non-technical people.
* Ability to Think Big, take bets and innovate, Dive Deep, Bias for Action, Hire and Develop the Best, Learn and be Curious
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