Staff Software Engineer

Wayfindi; Portugal; Teletrabalho; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Annual performance bonus

Equity compensation via ESOP

Private health insurance

Flexible work schedule

Resumo da oferta

Wayfindi is seeking a Staff Software Engineer to shape the technical foundation of our platform, engaging with complex engineering challenges. With a focus on AI-enabled workflows, you will lead initiatives across teams, ensuring systems are secure and maintainable while improving engineering standards.

The ideal candidate has 8+ years of software engineering experience, demonstrating leadership and expertise in AI-assisted development. The role is remote-first and full-time, offering an inclusive environment and growth opportunities.

Qualificações

• 8+ years of software engineering experience, with strong experience building and operating production systems.
• Deep fluency with AI-assisted software development.
• Proven experience leading complex technical work across teams, systems, or product areas.

Responsabilidades

• Lead the technical direction of complex engineering initiatives across products and teams.
• Design and evolve reliable, secure, maintainable systems.
• Improve engineering standards through reviews and documentation.

Conhecimentos

Software engineering

AI-assisted software development

System design

Leadership in technical projects

Communication

Descrição da oferta de emprego

About the role

Promptly is building healthcare data infrastructure for real-world evidence, patient‑reported outcomes, and AI‑enabled healthcare products. We work with sensitive, fragmented, and regulated data across hospitals, partners, patients, and life sciences organizations.

We are looking for a Staff Software Engineer to help shape and build the technical foundation of our platform as we scale.

This role is for an experienced technical leader who can operate across architecture, product, code, data, integrations, reliability, and AI‑enabled workflows. You should be able to define technical direction, lead important engineering decisions, work across teams, and stay close enough to the code to understand the real trade‑offs.

You should be comfortable working on ambiguous problems where the right answer is rarely "just build more software." Some problems need architecture. Some need a better product decision. Some need a migration path. Some need sharper engineering standards. Some need someone to sit with the team, understand the mess, and help move it forward.

What you'll do

• Lead the technical direction of complex engineering initiatives across products, teams, or critical systems.
• Design and evolve systems that are reliable, secure, maintainable, and ready to scale across healthcare environments.
• Work hands‑on in the codebase, especially in technically difficult or ambiguous areas.
• Shape architecture across backend systems, frontend applications, APIs, data flows, integrations, internal tooling, and AI‑enabled product capabilities.
• Help teams make good technical trade‑offs around speed, quality, reliability, privacy, security, and long‑term maintainability.
• Improve engineering standards through design reviews, code reviews, observability, testing practices, documentation, and operational discipline.
• Mentor engineers and help raise the level of technical judgment across the team.
• Partner with product, data, customer‑facing, and leadership teams to turn healthcare and business needs into pragmatic technical solutions.
• Identify technical risks early and create realistic paths to reduce them.
• Help Promptly use AI well: in our products, in internal workflows, and in the way engineering teams build software.

How we build with AI

At Promptly, AI‑assisted development is part of how we work. We expect engineers to use coding agents, copilots, code search, AI‑assisted debugging, and automated review to move faster through real engineering work.

We expect engineers to use AI as part of a modern development workflow, with the same standards of craft, quality, and accountability we apply to any production system. Strong engineers know where AI accelerates the work, where it introduces risk, and where human judgment needs to lead.

You own what you ship. You should be able to explain the design, inspect the diff, validate the behavior, check the security and privacy implications, debug failures, and operate the system in production. If you cannot understand it, test it, secure it, and maintain it, you should not merge it.

What we're looking for

Required

• 8+ years of software engineering experience, with strong experience building and operating production systems.
• Strong full‑stack or backend‑leaning engineering fundamentals. You can design, write, review, and debug production‑quality code.
• Deep fluency with AI‑assisted software development. You use coding agents and AI tools as part of normal engineering work, not as a novelty.
• Strong ability to guide, constrain, and review AI‑generated work. You know how to provide context, define acceptance criteria, keep changes reviewable, validate behavior, and reject plausible but wrong output.
• Experience using AI tools across the software lifecycle: codebase exploration, planning, implementation, refactoring, test generation, documentation, debugging, review, and operational investigation.
• Proven experience leading complex technical work across teams, systems, or product areas.
• Strong system design skills, including APIs, distributed systems, data flows, integrations, reliability, observability, performance, and security.
• Experience working with large or evolving codebases where maintainability, migration paths, and incremental delivery matter.
• Strong product judgment. You can connect technical decisions to user value, customer needs, and business outcomes.
• High agency in ambiguous environments. You can create clarity, make sensible trade‑offs, and move work forward without waiting for perfect requirements.
• Strong ownership of production outcomes. You care about how systems behave after they ship.
• Excellent written and verbal communication. You can explain complex technical decisions to engineers, product managers, customer‑facing teams, and leadership.
• A collaborative, low‑ego working style. You help teams make better decisions without creating unnecessary process.

Preferred

• Experience in healthcare, health technology, life sciences, clinical data, real‑world evidence, or another regulated enterprise domain.
• Experience with data‑intensive platforms, interoperability, healthcare integrations, analytics products, or privacy‑preserving data systems.
• Experience building or deploying AI/LLM‑enabled workflows, agents, evaluation systems, or automation in production.
• Experience shaping AI‑assisted engineering practices for a team, such as repository instructions, coding‑agent workflows, review standards, test expectations, context management, safe automation, or production debugging workflows.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Experience with event‑driven architectures, Kafka, workflow systems, data pipelines, or distributed processing.
• Familiarity with security, privacy, compliance, and enterprise IT constraints.
• A track record of turning repeated engineering problems into better platforms, tooling, documentation, or reusable patterns.
• Experience mentoring senior engineers and influencing technical culture across teams.

You’ll be a strong fit if

• You like hard, real‑world engineering problems.
• You care about craft, but you do not confuse craft with over‑engineering.
• You can simplify complexity without ignoring risk.
• You know when to build, when to refactor, when to migrate, and when to stop.
• You are comfortable working with incomplete information.
• You already use AI tools to increase your engineering leverage.
• You know how to give agents enough context to be useful without outsourcing your judgment.
• You are not impressed by generated code just because it compiles.
• You care about healthcare, patient outcomes, and responsible data use.
• You want to help shape how a modern AI‑era engineering organization works.

Position

• Remote‑first
• Full‑time

What we offer

Ownership & Growth

• Define and own a strategic global initiative from the ground up
• Shape the future of Promptly’s partner ecosystem and data network expansion
• Annual performance bonus
• Equity compensation via our ESOP (open to all team members)
• Annual training allowance
• Private health insurance
• Equal opportunity and inclusive environment
• Flexible work schedule and vacation policy
• Corporate events and international team gatherings