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At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.

For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.

As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

About Engineering at Mitratech Legal Solutions 

Mitratech's engineering organization is a collaborative and dynamic environment where engineers are empowered to drive technical direction and innovation. Our engineers are passionate about delivering high-quality products and solutions that meet the evolving needs of our customers, and we're committed to fostering a culture of continuous learning and growth. 

About the Role 

Mitratech is a fast-paced and dynamic environment, and this role requires someone who is adaptable, resilient, and able to thrive in a rapidly changing landscape. If you’re a seasoned engineer with a passion for technical leadership, innovation, and collaboration — including building the data foundations that power both reporting and AI-driven products — we’d love to hear from you. 

What You Will Do

• Drive technical direction for a significant product domain or platform capability, ensuring alignment with business objectives and customer needs 
• Design and maintain data pipelines that increasingly feed AI systems (e.g., RAG ingestion, embeddings, vector stores), not just dashboards and reports 
• Use AI-assisted engineering tools (e.g., Claude Code, Copilot, Cursor) as part of your own workflow, and help other engineers adopt them effectively 
• Reduce systemic complexity by identifying and leading architectural debt remediation, and develop strategies for ongoing technical debt management 
• Partner with Product and Engineering leadership to inform multi-quarter roadmap feasibility, and provide technical guidance and oversight to ensure successful implementation 
• Elevate engineering craft across multiple teams through RFCs, mentorship, and knowledge sharing, and develop training programs to improve engineering skills and knowledge 
• Represent Mitratech’s technical capabilities externally, including speaking at conferences, contributing to open-source projects, and engaging with industry peers and thought leaders 

 What We Are Looking For 

To be successful in this role, you will need: 

• 10+ years of experience in software engineering, with a focus on technical leadership and architecture 
• Deep understanding of data engineering principles, including data modeling, data warehousing, reporting, and data governance 
• Strong technical expertise in SQL, PostgreSQL, ETL/ELT pipelines, BI tools, and analytics platforms 
• Comfort using AI coding assistants (Claude Code, Copilot, Cursor, or similar) as a regular part of the engineering workflow 
• Practical experience with AI/LLM-adjacent data work — e.g., RAG ingestion pipelines, embedding generation, vector store management, or applying data quality and governance practices to data consumed by AI models 
• 5+ Years of experience on Ruby on Rails, React, and modern cloud platforms such as AWS 
• Experience leading cross-functional initiatives with product, engineering, analytics, and business teams 

Nice to Have 

• Experience with a semantic or metrics layer (e.g., dbt Semantic Layer, headless BI) 
• Experience with BI, reporting, dashboards, and customer-facing analytics 
• Understanding of CI/CD, Git-based workflows, and infrastructure-as-code 

The Stack Context 

• Modern data stack: Fivetran, Airbyte, dbt, Snowflake, GitHub, Terraform, or similar tools 
• Application context: Ruby on Rails, React, or similar backend/frontend frameworks 
• Data modeling: SQL, analytics models, documentation, testing, naming standards, and version control 
• Infrastructure: cloud-based data infrastructure, infrastructure-as-code, CI/CD, monitoring, and cloud storage 
• Data workflows: ingestion, transformation, orchestration, reporting, deployment, and change management 
• Reporting focus: trusted metrics, scalable reporting models, dashboards, exports, and data quality 
• AI surface: data pipelines and quality practices supporting AI/LLM use cases (RAG, embeddings, vector stores) alongside traditional BI 

Why This Role 

This role offers a unique opportunity to drive technical direction and innovation at a rapidly growing company, while also mentoring and coaching engineers to improve their craft. As a Principal Data Engineer at Mitratech, you will have the chance to work on complex and challenging problems, collaborate with cross-functional teams, and represent the company’s technical capabilities externally. If you’re looking for a role that offers a mix of technical leadership, innovation, and collaboration, this could be the perfect fit for you. 

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.

Technical Skill Set:

1. ASP. NET Development – Strong expertise in C#, ASP.NET, WPF, and solid understanding of SOLID principles, API development, and databases.

2. Cloud Technologies – Hands-on experience with AWS, Azure, or Google Cloud.

3. Software Development & Architecture – Proficiency in SDLC, Agile, Scrum, and DevOps frameworks.

4. Project Planning & Management – Experience in task allocation, tracking, estimations, and deliverables management.

5. Repository & Version Control – Familiarity with Git, SVN, or similar tools, along with basic networking concepts.

6. Product Lifecycle Management – Knowledge of requirement analysis, documentation, testing, and release management.

7. Project Planning Tools – Experience with tools like Microsoft Project Plan, JIRA, Redmine, or HP ALM/Quality Centre.

Leadership & Soft Skills:

1. Team Leadership – Ability to guide, mentor, and manage a team while ensuring high-quality deliverables within tight deadlines.

2. Client Engagement & Requirement Gathering – Skilled in collaborating with stakeholders to enhance and refine project requirements.

3. Strong Communication & Problem-Solving – Effective at handling challenges, making decisions, and ensuring smooth project execution.

Data Engineer - Python

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Use Python web frameworks such as Dash or Streamlit to make latency data accessible to end users.
• Leverage OpenAI API to analyse and generate insights by using latency data and provide visualization interface to end users.
• Improve the Latency Data API to provide seamless access to latency data for end users, including researchers, support, and other teams within QRT.
• Optimize and fine-tune Large Language Models (LLMs) for use cases in natural language understanding, data processing, and predictive modelling. 

Your present skillset

• 4+ years' experience in a related field
• Advanced Python and OpenAI API proficiency.
• Good with LLM Concepts.
• Experience with large data sets, visualizations, and reports.
• High standards in code quality and development practices.
• Proficiency in managing structured/unstructured data.
• Expertise in scalable data systems.
• Strong AI/ML skills for pattern and anomaly detection.
• Experience with CI/CD processes and DevOps.
• Experience in the financial/trading sector.
• Familiarity with latency-sensitive systems and performance optimization

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Job Responsibilities:

● Conceptualizing, executing & managing branded campaigns across LBB formats on web, app & social media based on client briefs

ensuring high repeat rate

Should have worked on branded content / content marketing

● Ensuring a mix of client objectives & LBB tonality

● Social Media Marketing & execution for sales collaborations

● Client servicing: Being the SPOC for a partner brand, daily liaison, end to end life cycle management of the brand campaigns from

brief to deliverables

● Creating pitches, briefs, presentations, campaign plans, innovations & partners to maximize conversion

● Mapping daily progress of branded content & reporting the success of a campaign post closure

● Keeping up with client deadlines & incorporating feedback/changes

We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end.

Responsibilities and Duties
Primary Responsibilities:
- Write Elegant, Testable Code
- Design and implementation of low-latency, high-availability, and performant applications
- Implementation of security and data protection
- Build and Deploy Code
- Build Fast, Reliable REST APIs
- Adding New Features
- Enhancing Existing Code and Features
- Comfortable with Agile and Iterative Development along with code reviews