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Junior Software Engineer – Early Career (Strong Problem solving & Coding Focus) – 100% Remote within Poland

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Published
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16 Oct 2026Apply before
Opportunity details

About this role.

AI Summary

Docplanner is hiring an early-career Software Engineer to build and ship healthcare products with meaningful production impact. The role can contribute across marketplace, practice-management, clinical AI, and patient-data integration initiatives using a TypeScript-centric stack. Engineers work in small autonomous teams and are expected to own features from problem discovery through deployment. Core requirements emphasize computer-science fundamentals, practical software-building ability, strong problem solving, and rapid learning. The role is remote within Poland or may be hybrid through the Warsaw hub.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightAlthough targeted at junior engineers, the role expects strong algorithmic foundations, full-stack contribution, early production ownership, and work on distributed, AI-enabled healthcare systems. Candidates must learn quickly while balancing correctness, maintainability, user needs, and delivery speed.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$95,000
US market range$75k–$120k
AI insightNo actual compensation range is disclosed; the posting only promises a salary appropriate to experience and skills. The figures shown are estimated annual USD base-salary benchmarks for an early-career software engineer in the US market, not compensation offered by Docplanner.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
Describe how you would approach a feature request that initially seems ambiguous or overly broad.

I would first clarify the user problem, expected outcome, constraints, and success metrics with relevant stakeholders. Then I would divide the work into smaller deliverable slices, identify technical risks, propose a simple initial solution, and validate it early before expanding scope.

How would you determine the time and space complexity of an algorithm that processes a collection of records?

I would identify the input size, count how many times each loop or recursive branch executes, and account for operations such as sorting, hashing, or nested iteration. I would then state Big-O time and memory complexity, explain the bottleneck, and consider whether the trade-off is appropriate for expected data volume.

Tell us about a project where you turned an idea into working software.

I would explain the problem, the users, and the smallest useful version I built. I would cover my technical decisions, how I tested and deployed it, feedback or metrics I gathered, and what I would improve after learning from real use.

How would you safely make a change to a production service you have not worked on before?

I would start by reading the service documentation, code paths, tests, dashboards, and recent changes to understand its behavior and dependencies. I would seek guidance from the maintainer, make a narrow change with tests and observability, use code review, and deploy progressively with a rollback plan.

How do you use AI coding tools while maintaining code quality and ownership?

I use AI tools to accelerate exploration, boilerplate creation, debugging hypotheses, and documentation, but I verify all generated output myself. I check correctness, security, tests, edge cases, and alignment with project conventions, treating AI suggestions as input rather than a substitute for engineering judgment.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

Welcome to the good side of tech 👋

You might know us as ZnanyLekarz in Poland or Doctoralia in Spain. Globally, we are Docplanner.

We build technology that helps people live longer, healthier lives. Our products connect patients with doctors, power clinical workflows, and support healthcare systems used by millions of people every month.

Engineering at Docplanner is about building reliable, scalable systems with real human impact. What we ship affects patients, doctors, and clinics in everyday, high-stakes situations – which means quality, judgment, and long-term thinking matter.

In 2026, we are accelerating delivery across multiple product areas by changing how we build – leveraging AI-assisted development to increase engineering effectiveness and raise the bar on how we design, ship, and evolve systems.

And why should you join us?

Because it feels good to tell your family and your friends how you made the world a little bit better. You go to bed knowing that what you do matters, and that your talents align with your beliefs.

We want to help people live longer, healthier lives, and that starts with you being you. We believe that taking the diversity of human experience into account makes a better healthcare experience for all . We’re not just different: we embrace diversity. We will encourage you to come to work your whole self. You can decide to work fully remote, or work hybrid with our offices located in Barcelona or Warsaw. This will be dependent on the final team allocation.

Our challenges

Our Engineers may join teams working on these areas and challenges:

Marketplace & Search

Build the next-generation marketplace system by owning the end-to-end journey from agentic discovery to rebooking. You’ll leverage AI search and AI onboarding funnels to unlock new demand and transform one-off bookings into continuous care loops.

Practice Management Systems (PMS)

Build the next generation of software to help doctors globally. Unify the current fragmented reality and leverage AI to reinvent the way to help doctors focus on what matters most: treating the patient.

AI-powered Clinical Tools (Noa Medic)

Design AI-native clinical workflows that move beyond simple scribing to replace end-to-end administrative tasks. You’ll build deep PMS/EHR embeddings that become an indispensable daily habit for medical professionals.

Patient & Data Integrations (Noa Patient)

Move beyond the booking button to build a proactive healthcare partner. You’ll create the smart connections that blend someone’s medical past with their live health data, crafting an AI experience that actually keeps patients coming back. Turn raw data into advice people can use, making Docplanner the one health app they can’t live without.

Internally, these challenges map to some of our most ambitious and high-impact initiatives.

How we build software

  • We build systems that matter and we optimize for clarity, speed, and long-term maintainability.

  • Small autonomous teams that own real product surfaces end-to-end

  • High trust and high ownership from day one

  • Production impact early – even as a junior engineer

  • AI-assisted development as a default workflow

  • Strong engineering culture focused on simplicity, correctness, and measurable outcomes

  • We prefer solving problems well over adding unnecessary complexity.

  • Good ideas win regardless of tenure or hierarchy.

What we value

Strong problem solving ability. The ability to break down complex systems and find elegant solutions.

Builder mindset. You like creating things that people use.

Intellectual curiosity. You enjoy understanding how systems really work.

Ownership. You treat problems as yours until they are solved.

Pragmatism. You know when to optimize and when to ship.

We value signals over credentials.

Competition programming, open-source work, research, side projects or anything else that shows how you think.

Technical Environment

  • Our stack evolves continuously, but currently includes technologies such as:

  • Backend: Node.js, TypeScript

  • Frontend: React, TypeScript

  • Mobile: React Native

  • Infrastructure: AWS, Kubernetes, Terraform

  • Developer tooling: modern CI/CD, observability

  • AI-assisted coding environments built to scale (guardrails, rules, skills, subagents, spec-driven development)

We invest heavily in developer productivity and continuously improve how we design and ship systems.

Collaboration Model

• Open source internal culture – contribute across different services and teams

• Maintainer guidance rather than gatekeeping from senior developers

• Cross-functional ownership of features from conception to deployment

• Living documentation shared across all team members

Why Junior Devs Love It Here

  • Some reasons engineers choose to stay at Docplanner:

  • Real scale. Millions of users and thousands of healthcare providers across multiple countries.

  • Interesting problems. Distributed systems, search relevance, AI-assisted workflows, complex integrations.

  • Exceptional teammates. Work with talented people across disciplines who raise the bar for everyone.

  • Fast learning curve. You will work on real production systems very early.

  • Meaningful mission. Helping people live longer, healthier lives.

Qualifications

Required

  • Strong foundations in computer science

  • Solid understanding of data structures, algorithms, complexity, and core software engineering principles.

  • Ability to build real software

  • Comfortable working across the stack to design, implement, and ship features that solve real user problems.

  • Strong problem-solving skills

  • You enjoy breaking down complex problems and finding simple, effective solutions.

  • Builder mindset

  • You like turning ideas into working products and taking ownership of outcomes, not just tasks.

  • Curiosity about users and problems

  • You’re comfortable talking to users, understanding their needs, and iterating on solutions.

  • High learning velocity

  • You pick up new technologies, tools, and domains quickly and continuously improve your craft.

  • AI-first engineering mindset

  • You actively experiment with AI coding tools, agents, and new workflows, and are excited about reinventing how software is built.

Preferred

  • Academic background in Computer Science, Engineering, Mathematics, or another rigorous technical discipline.

  • Competitive programming experience

  • Participation in ICPC, Google Code Jam, national olympiads, Codeforces, or similar competitions.

  • Evidence of building things

  • Side projects, startups, open-source contributions, hackathons, or shipped products.

  • Exposure to modern engineering workflows

  • Experience working with collaborative development, continuous delivery, strong observability, and AI-assisted development practices.

Let’s talk money

  • A salary adequate to your experience and skills.

True flexibility and work-life balance

  • Remote or hybrid work model with or hub in Warsaw;

  • Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly);

  • 20/26 days of paid time off (depending on your contract);

  • Additional paid day off on your birthday or work anniversary (you choose what you want to celebrate).

Health comes first

  • Private healthcare plan with Signal Iduna for you and subsidized for your family.

  • Multisport card co-financing for you to have access to sports facilities across Poland.

  • Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling.

Keep growing with us

  • Free English and Spanish classes.

We promote and embrace equal opportunities in our hiring process, and also every day at work. When you apply for our roles you receive equal treatment regardless of age, disabilities, gender reassignment, marital or civil partner status, pregnancy or parental status, race, colour, nationality, ethnic or national origin, religion or belief, sex, sexual orientation or any other dimension of human difference. If you require additional support in your recruitment process, we kindly encourage you to let us know. Behind those words you’re reading, there’s a person (hi!) who already helped a candidate by adapting the interviews, and now we’re lucky to have this person with us. So, even if you’ve never asked for it before, may this serve as a sign that, now, you can do so. We can only truly be equal if we adapt to each other.

“We believe all humans, in all their beautiful diversity, should have equal rights, dignity and respect. Period.” Mariusz Gralewski, CEO

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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