Senior Software Engineer Job at SciLeads, Pittsburgh, PA

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  • SciLeads
  • Pittsburgh, PA

Job Description

Senior Software Engineer

SciLeads is a remote, fast-growing SaaS company focused on providing market and sales intelligence to the life science and pharmaceutical industry. We're an award-winning company, and have been listed as one of Deloitte's fastest growing tech companies for four 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!

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 base architecture focusing on scalability and performance.
  • Data engineering and integration: Manage and wrangle a database with over one billion records, ensuring efficient data handling and aggregation.
  • Address data challenges by implementing robust data engineering practices.
  • Project management.
  • Code quality reviews and team collaboration.
  • Adopt a customer-first approach: Maintain a strong focus on customer needs and be relentless about delivering value.

Essential Skills and Experience:

  • Experience: At least 5 years of post-education experience in C# and .NET software development.
  • Data Engineering: Proficiency in handling large-scale datasets using appropriate languages, frameworks, tools, work flows and patterns.
  • Project Leadership: Proven track record of designing, refining, managing, leading, and delivering at least three complex technical projects from inception to completion.
  • Problem-Solving: Demonstrated ability to solve complex data challenges and significantly improve data handling processes.
  • Communication: Ability to effectively communicate with stakeholders, provide project updates and technical insights on complex projects.
  • Time Management: Excellent time management and organizational skills. Comfortable prioritizing work across multiple concurrent projects.
  • Leadership: Experience mentoring intermediate engineers and leading on complex technical projects.
  • System Design: Expertise in scalable system design and architecture.
  • Collaboration: Demonstrated ability to work effectively within a fully remote team and awareness of how your behaviour impacts those around you.
  • Continuous Learning: Commitment to continuous learning and growth.
  • Location: Must be based in the United Kingdom.

Desirable Skills and Experience:

  • 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 development allowance.
  • Private Healthcare.
  • 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.

Job Tags

Work at office, Remote work, Home office, Flexible hours,

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