Senior Software Engineer

About SciLeads

SciLeads is a fast-growing, remote-first SaaS company helping reshape how scientific companies do sales and marketing. With over 90 people across the UK, Canada, and beyond, and plans to grow to 150+ in the next two years, our culture of openness, flexibility, and innovation drives everything we do.

We’re an award-winning company, and have been listed as one of Deloitte’s fastest growing tech companies for five years in a row. We are passionate about putting people first and committed to creating an outstanding employee experience as a remote working company. Come grow your career with us!

About the Role

SciLeads is seeking an experienced Senior Software Engineer who is passionate about software development and data engineering, with extensive experience in managing large-scale data projects and leading development initiatives. You will report directly into the VP of Engineering and will be instrumental in driving technical vision, development, and deployment of the SciLeads platform.

Key Responsibilities

• Ownership of the full software development life cycle

• Work with cloud-based architecture focusing on scalability and performance

• Address data challenges by implementing robust data engineering practices

• Code quality reviews and team collaboration

• Adopt a customer-first approach: maintain a strong focus on customer needs and be relentless about delivering value

Development Opportunities

This role offers the chance to grow your experience in large-scale data engineering, working with and learning to manage a database of over one billion records while developing best practices around efficient data handling and aggregation. You’ll also have the opportunity to build your project management skills, taking increasing ownership of technical initiatives, collaborating across teams, and gradually leading projects from planning through to delivery.

Essential Skills and Experience

• At least 5 years of post-education experience in C# and .NET software development

• Demonstrated ability to solve complex data challenges and significantly improve data handling processes

• Ability to effectively communicate with stakeholders, provide project updates, and technical insights on complex projects

• Excellent time management and organizational skills; comfortable prioritizing work across multiple concurrent projects

• Experience mentoring intermediate engineers and leading on complex technical projects

• Expertise in scalable system design and architecture

• Demonstrated ability to work effectively within a fully remote team and awareness of how your behaviour impacts those around you

• Commitment to continuous learning and growth

• Must be based in the United Kingdom

Desirable Skills and Experience

• Proficiency in handling large-scale datasets using appropriate languages, frameworks, tools, workflows, and patterns

• Proven track record of designing, refining, managing, leading, and delivering at least three complex technical projects from inception to completion

• A degree in Computer Science, Math, Statistics, Data Engineering, or a related field

• Experience using React

• Experience with AWS

• Machine learning and AI experience

• Startup or Scaleup experience

SciLeads Tech Stack

• .NET Core & C#

• React

• SQL

• AWS

• Elasticsearch

• Jira

• AI platforms and APIs

Benefits

• Fully remote working

• £750 home office allowance

• £200 personal & wellbeing development allowance

• Private Healthcare & Dentalcare

• Pension scheme

• 25 days holiday plus public/bank holidays

• A day off for your birthday!

• Women in Business NI Membership

• A truly flexible working culture

• Quarterly meet ups

• Virtual office to hang out with colleagues

SciLeads is an equal opportunities employer, we welcome and encourage applications of all nationalities, backgrounds, and genders. This job posting is for an active position in SciLeads.

Our application process is designed to be quick and easy! We value your time, so we won’t ask you to rewrite your CV. All we ask is that you upload your CV and fill in all the mandatory fields. Any additional fields are for you to provide us with more information if you wish to do so.