Are you a software engineer who enjoys building internal products and automations that improve how organizations work? Can you combine hands-on software development with the business acumen to turn a team's needs into working tools?
If this sounds like you, join the SOPHiA GENETICS Corporate Strategy team as our new Software Development Engineer, Internal Projects and enable us to build the internal capabilities that accelerate our mission of democratizing data-driven medicine for patients worldwide.
Enjoy the flexiblity of a hybrid work schedule, partnering closely with colleagues and leaders (Like the VP, Corporate Strategy) 3 days per week at our corporate office in Boston, MA.
NB: This is an internally deployed role building and embedding functionality within our organisation, not an engineering role working on our customer facing AI/ML Platform.Your Mission Reporting to the VP, Corporate Strategy, you'll build internal products, automations, and workflows that improve how teams across the business operate. Around 80% of your time will focus on hands-on engineering: understanding business needs, building the tools yourself, and helping teams put them into use. The remaining 20% will focus on internal consulting, acting as a sounding board for leadership on software development benchmarks and best practices.
The value you bring:- Build internal products and automations: Work with teams across the company to identify useful internal projects and write the software that delivers them.
- Roll out tools that teams use: Help teams adopt the tools you build, with a focus on improving their day-to-day work and delivering business impact.
- Process and tooling improvements: Examine and improve internal tooling, data flows, and processes, including end-to-end data architecture, starting with sales.
- Internal consulting on engineering practices: Advise leadership on software development benchmarks and best practices, drawing on your own experience building and delivering software.
- Cross-functional alignment: Translate between business needs and technical decisions, and communicate clearly with engineering, product, and other teams.
Requirements- 5+ years of experience with a senior engineer or product manager background from a top tech company building complex products.
- Beyond engineering, you'll have direct working experience of working with Generative AI tools to deploy Functionallity or Enablement within an organisation.
- Strong hands-on building skills. you ship working software, not just diagrams. AI fluency is essential (LLMs, automation, modern AI tooling).
- Dialed into modern engineering and product practices.
- Confident operator - you can walk into any function, diagnose what's broken, and drive change.
- Strong change management instincts - you can win over skeptical teams and make new ways of working stick.
- Comfortable moving between strategy conversations and shipping code in the same week.
BenefitsYou will be joining an organization with the patient at the heart of every decision and action, driven by purpose as we pursue exponential growth.Our benefits package is comprehensive, but varies internationally in-line with local standards and laws. You can discuss a full breakdown with us, but as a brief overview:
US:Outstanding Medical, Dental & Vision with 90% Employer Contribution
Company matched 401K at 4%
Company-paid short & long-term disability insurance
FSA commuter benefits
20 Days PTO, increasing to 25 with tenure; 5 Days Sick and 14 Public Holidays
Free EAP
Starting Date: ASAP
Location: Boston, MA - Hybrid 3x/week in office
Contract: Permanent
MA Pay Range: $88,000 - $168,000
Disclaimer: The estimated pay range represents a good faith estimate of what the Company expects to pay a successful applicant for the listed position and applies specifically to candidates based in Massachusetts. Due to various factors, the estimated pay range may vary in other locations. Should the level or location of the role change during the hiring process, the applicable base range may be updated accordingly. Compensation decisions are dependent on several factors including, but not limited to, an individual's qualifications, job related skills, years of experience, location, relevant education or training, internal equity, and alignment with market data. The range does not include benefits, and if applicable, bonus, commission, or equity.
