Jobs at Djinni

About Flamingo

Flamingo is revolutionizing the Managed Service Provider (MSP) industry with an AI-driven, open-source platform for IT and security. Our goal is to empower MSPs with automation, optimization, and scalability tools to enhance their operations.

Role Overview
This role focuses on building a SaaS product with additional support for local installations. You'll own the design and implementation of cloud infrastructure from the early stages, setting the foundation for how the platform operates.

The product is fully Kubernetes-based - a multi-tenant fleet of private GKE clusters on GCP, provisioned with Terraform and reconciled by ArgoCD from our own Helm charts. Strong expertise in cluster management, automation, and container orchestration is essential. The system is high-load, so reliability is the top priority. You'll also contribute to our open-source product.

Key Responsibilities
Design and maintain GCP infrastructure (compute, storage, networking, IAM, KMS, managed databases) using Terraform

• Operate a growing fleet of private GKE clusters: administration, upgrades, capacity planning, Gateway API, custom Helm charts
• Build CI/CD pipelines with GitHub Actions and ArgoCD following GitOps practices, including ephemeral per-PR environments
• Implement monitoring, logging, and alerting with Mimir, Loki, Alloy, and Grafana - dashboards and alerts as code
• Design and secure cloud networking: VPC architecture, load balancers, Cloud Armor WAF, TLS automation, NetworkPolicies
• Operate the stateful layer with engineering teams: MongoDB, Kafka, Cassandra, Pinot, Redis, NATS, Cloud SQL - sizing, upgrades, backups, disaster recovery
• Collaborate with engineering teams on deployment strategies and reliability
• Stay reachable until 12 AM (midnight)
   
• Qualifications
  Must-Have
• Kubernetes - strong expertise in cluster administration, workload orchestration, and GitOps practices; ability to write and maintain custom Helm Charts
• Terraform - proven experience managing infrastructure as code and operating multi-environment estates on GCP
• Cloud platforms - solid knowledge of GCP core services, including compute, storage, and managed databases; equivalent AWS depth is fine if you are ready to work GCP-first
• Cloud networking - experience with VPCs, subnets, routing, firewalls, and load balancers, ensuring secure and reliable connectivity
• Infrastructure security - practical experience with IAM, workload identity, secrets management, TLS, encryption (KMS/CMEK), and policy enforcement in production environments
• CI/CD workflows - experience building and maintaining pipelines with GitHub Actions/GitLab CI and ArgoCD/FluxCD
• Databases and messaging - operational knowledge of MongoDB, MySQL/Postgres, Redis, and streaming platforms such as Kafka; comfortable running stateful workloads on Kubernetes
• Observability - hands-on use of Prometheus, Grafana, Loki, and similar tools for monitoring, alerting, and tracing
  
  Nice-to-Have
• Multi-tenant SaaS platform experience: namespace- or cluster-per-tenant models and tenant provisioning automation
• OpenTelemetry and distributed tracing, SLOs, and incident response practice
• Supply-chain and compliance work: cosign/SBOMs, image scanning, SOC 2 or ISO 27001
• Experience with serverless architectures and event-driven systems, such as AWS Lambda, Cloud Functions, or Pub/Sub triggers
• Experience contributing to or maintaining open-source products
• Relevant certifications would be a plus

Why Join Flamingo?

• High-impact role: Make a direct impact on the stability and scalability of our AI-driven platform.
• Innovative Tech Stack: Work with cutting-edge AI, security, and cloud technologies.
• Remote-first Culture: Flexibility to work from anywhere while collaborating with a top-tier team.
• Mission-Driven Company: Join a team passionate about disrupting the MSP industry and making enterprise-grade security and IT automation accessible to all.

Are you passionate about safeguarding countries, societies, and businesses from hybrid threats?

Look no further! Our rapidly scaling company is committed to this crucial mission, collaborating with some of the world’s most influential organizations, including NATO and the EU.

If you’re ready to join a high-impact team shaping the future of intelligence and security, we invite you to become part of our journey. Join us and help defend the digital world with purpose and innovation!

Role Overview

We are looking for a Senior Data Engineer to work on the data architecture behind our intelligence platform, across both our production data infrastructure and our work with multimodal data.

We operate on text, social media, geospatial, and time-series data at scale. A large part of the engineering challenge is in how that data is represented and connected: the same real-world entity can be modelled on a map, as a node in a graph, and as a pattern over time, and the value comes from being able to query and reason across those views together.

You'll bring hands-on experience with geospatial data, knowledge graphs, or entity-relationship systems across multiple data types. We care more about how you reason through architectural and technology choices than about any specific tool.

This is a hands-on, senior role with real ownership over architecture, execution, and technical direction.
 

Key Responsibilities

Multimodal Data & Entity Modelling

• Extract entities and relationships from text, social media, geospatial, and time-series data, and model them across map, graph, and temporal representations.
• Evolve our knowledge graph layer and make connected data usable for analytics, visualisation, and AI agents.
• Evaluate and prototype technologies for geospatial and graph workloads at scale

Core Data Platform

• Migrate production workloads from PostgreSQL to StarRocks.
• Improve ingestion and processing performance, and redesign product storage architecture for billion-row scale.
• Own the infrastructure your pipelines run on, including deployment, performance, and cost.

Requirements

• Hands-on experience building data systems for geospatial data, graph data, or knowledge graphs, ideally combining several data types.
• Experience with GIS tooling (e.g. PostGIS), graph databases (e.g. Neo4j, TigerGraph), or modelling graph data on relational or columnar storage.
• Strong architectural thinking and the ability to justify technology choices, run experiments, and change course based on results.
• Proven experience moving and processing data at large scale, with resumable, idempotent, and memory-safe pipelines.
• Experience working with data infrastructure beneath the managed layer, not only inside a ready-made SaaS platform.
• Ability to read query plans and change physical data layout to fix performance issues.
• Experience building and shipping production backend services in Python.
• Comfort owning infrastructure, including Kubernetes, Helm, Terraform, or similar tools.
• Fluent English.

Nice to Have

• Production experience with a columnar or MPP engine such as StarRocks, Doris, ClickHouse, BigQuery, or Snowflake, including partitioning, distribution, and indexing.
• Experience with Elasticsearch or OpenSearch at scale, including mappings, ILM, tiering, and reindexing.
• Experience with a long-running migration involving dual-write, reconciliation, and cutover.
• Knowledge of PostgreSQL internals.
• Experience with event-driven ingestion using Kafka or RabbitMQ.
• Experience with observability tools (Prometheus, Grafana, Loki), lakehouse formats (Parquet, Iceberg), and orchestrators such as Airflow.
• Background in threat intelligence, OSINT, geospatial intelligence, or defence.

We Offer

• Opportunity to contribute to a mission-driven startup and support prestigious clients, including governments worldwide, enterprise clients, and leading NGOs in tackling global security challenges.
• Autonomy and freedom to drive experiments and bring your own ideas to life.
• Flexibility of remote work, with the option to join our teams in Kyiv and Lviv.
• Flexible, unlimited time-off policy.

Work directly with a CTO who has 20+ years of building systems, on a product that is getting ready for launch. The LLM is at the core of it, the backend team is small, and your code goes into the first release.

We are hiring a Python backend engineer into our client's product team. Reviews here are detailed: you defend your decisions line by line and get feedback from someone who has seen most of the ways a system can fail. That is how you grow fast. The CTO also expects to hear "this is a bad idea" when it is one, with an argument behind it.

Use AI as much as you like. You own every line, whoever wrote it. You get a task and bring it back done: questions at the start, blockers raised the same day.

What you will do

• Own backend tasks from spec to production: API, data model, background jobs, integrations
• Build the layer around the LLM: checking model output, handling failures, quality tests
• Improve service stability before launch

What we need

• 4+ years of commercial development, Python as your main language. The framework is secondary
• You know how systems are put together: data structures and complexity, concurrency, queues, caches, transactions, indexes
• English Upper-Intermediate or higher: daily calls and written communication with the CTO
• Ukrainian or Russian for communication inside our team
• Nice to have: LLMs in production, asyncio, type hints and tests as a habit

Hiring process

1. We read your CV. If we have questions, we ask them in writing
2. Take-home task, AI allowed
3. Interview with our tech lead about your solution
4. Introduction to the client: interview with the CTO in English
5. After that the client will most likely give a take-home of their own, similar to ours. We go through it with our tech lead before you submit, and you defend it with the CTO at the final meeting

Terms

• You are employed by Tailored Tech and work inside the client's team. Full-time, fully remote, UA/EU time zone
• Paid probation, review of terms after it, then every six months
• Paid vacation and sick leave, AI subscriptions covered

To apply, send your CV and a few lines about the system you designed that you are most proud of.

English - B2-C1
Rate - Flexible

We are looking for a Senior Go Developer to join our engineering team and work on a long-term product development project.
 

Requirements

• 5+ years of commercial software development experience
• Strong hands-on experience with Go / Golang
• Experience building and maintaining production backend systems
• Good understanding of software architecture and development best practices
• Experience designing and developing APIs
• Ability to write clean, maintainable and well-tested code
• Experience working with Git and modern development workflows
• Strong problem-solving skills
• Ability to work independently and take ownership of technical tasks
• Good communication skills and ability to collaborate with a development team
   

Responsibilities

• Develop and maintain backend services using Go
• Design and implement new features and APIs
• Participate in architectural and technical decisions
• Write and review production-quality code
• Improve system reliability, performance and maintainability
• Collaborate with other engineers and stakeholders
• Contribute to technical documentation and development best practices
   

Tech Stack

• Go / Golang
• Backend / APIs
• Git
• Modern software architecture

Sii Ukraine is a subsidiary of Sii Poland — the leader in IT, engineering, and consultancy services with over 7500 IT experts in Poland and more than 250 prestigious customers. We are looking for ambitious and top-quality professionals to join our project teams.

We are looking for a Senior Networking & Linux Driver Engineer

Design, develop and optimize high-performance networking software, Linux kernel components and device drivers for next-generation DPU platforms powering hyperscale cloud, AI/ML and HPC infrastructure. The engineer will work close to the Linux networking stack, packet processing data paths and hardware acceleration technologies.

Mandatory Profile

• 10+ years of professional experience in networking software development.
• Strong hands-on Linux kernel and device driver development experience.
• Deep understanding of Linux networking internals.
• Proven experience with Ethernet, TCP/IP and high-performance packet processing systems.
• Strong C/C++ programming skills.
• Track record of debugging and performance optimization in complex production environments.
• Ability to demonstrate direct implementation ownership and technical leadership.

Requirements

• Linux kernel development.
• Device driver development and debugging.
• Linux networking stack (netdev, packet processing, performance tuning).
• Advanced C/C++ on Linux.
• Network protocols: Ethernet, IPv4/IPv6, TCP, UDP.
• Git and modern software development practices.
• Strong system-level debugging skills.
• Tax residence in Ukraine required

Your responsibilities

• Develop and maintain networking software and Linux drivers for DPU platforms.
• Optimize high-speed packet processing paths.
• Collaborate closely with hardware, firmware and architecture teams.
• Investigate and resolve networking performance bottlenecks.
• Participate in architecture discussions, code reviews and system integration activities.
• Contribute to software quality, automation and CI/CD processes.

Strong Advantages

• Linux upstream contribution experience (kernel, netdev, drivers or networking subsystems).
• RDMA experience (RoCE, InfiniBand, verbs, queue pairs, completion model).
• DPDK development and optimization.
• Experience with NICs, SmartNICs, DPUs or networking accelerators.
• PCIe, DMA and low-level HW/SW integration.
• Data center networking, cloud infrastructure or HPC background.
• Previous experience in companies such as NVIDIA, Mellanox, Intel, Microsoft, Broadcom or Marvell.

Not Suitable If

• Experience is primarily application-level software development.
• No Linux kernel or driver ownership.
• Limited exposure to networking internals or packet processing.
• Primarily architecture or coordination roles without recent hands-on coding.

About Our Client:

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role:

We are looking for a Middle-level Software Engineer to work on the core query engine of a large-scale distributed data platform. You will develop features across query planning, optimization, and execution, contribute to performance-critical components, and help investigate and fix production issues reported by real enterprise customers.

This is a systems-level, backend engineering role focused on distributed data processing internals — not application development or CRUD services.

Responsibilities:

• Develop and maintain features across the query engine — planning, optimization, execution, and data access layers
• Write performance-conscious code in Java and/or C++
• Investigate and fix production and customer-reported issues under the guidance of senior engineers, including fixes delivered across multiple supported release lines
• Work with SQL semantics, query plans, and execution operators over large-scale distributed data
• Integrate with columnar formats, open table formats, and connectivity drivers
• Contribute to CI/CD and automated testing in Jenkins
• Deploy and validate changes on Kubernetes (GKE/EKS/AKS) across GCP, AWS, or Azure with Docker
• Debug issues across query planning, distributed execution, memory management, and I/O; collaborate with US-based teams on design and code reviews.

Required Qualifications:

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field
• 3+ years in backend / systems software engineering
• Strong proficiency in Java or C++ with solid OOP and software design fundamentals, including concurrency and asynchronous programming (comfort with both languages is especially valued)
• Strong SQL and understanding of relational and analytical data systems, including query execution concepts
• Hands-on experience with data processing systems: query engines, distributed databases, ETL/ELT, or analytical platforms
• Experience with Jenkins pipelines and modern development workflows
• Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency)
• Hands-on experience with at least one major cloud (GCP, AWS, or Azure)
• Confident Git/GitHub workflows
• Comfortable with AI-assisted development workflows — using modern AI tools for code comprehension, debugging, and test generation, and critically validating their output
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings.

Desired Skills:

• Apache Arrow (columnar in-memory format) and SQL planner/optimizer frameworks such as Apache Calcite
• LLVM-based runtime expression compilation
• Open table formats — Apache Iceberg, Delta Lake, or Hudi — and columnar file formats such as Parquet, Avro, or ORC
• MPP query engines (Presto, Trino, or similar); exposure to distributed data platforms such as Spark, Snowflake, or Databricks
• Messaging systems: Kafka, NATS, or cloud pub/sub services
• Query planning, optimization, and execution internals
• Connectivity drivers: JDBC, ODBC, Arrow Flight
• Managed Kubernetes (GKE/EKS/AKS), multi-cloud exposure; Terraform
• Performance profiling of latency-sensitive systems.

Details:

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

EverHelp is looking for a Bilingual Customer Experience Specialist (French & English) to join a new international e-commerce project serving customers across the US and Canada. In this role, you’ll support customers throughout their post-purchase journey, help resolve order and delivery-related issues, and provide an exceptional customer experience across multiple communication channels.

The working schedule is shift-based, Monday–Friday, covering 09:15–20:30 EST, which requires evening and night availability for candidates based in Ukraine.

Your future responsibilities include:

• Providing customer support in French and English via phone, email, and live chat;
• Assisting customers with product information, orders, deliveries, and other post-purchase inquiries;
• Handling challenging customer situations through effective de-escalation, proactive follow-up, and solution-oriented communication;
• Coordinating with courier, warehouse, and other external partners to resolve delivery and order fulfilment issues;
• Managing a high volume of customer requests while maintaining accurate, friendly, and professional communication.

Needed experience & skills:

• 1+ year of Customer Support experience, preferably within retail or e-commerce;
• French B2–C1, including the ability to understand Quebec French and communicate clearly with customers from Quebec;
• English B2–C1, both written and spoken;
• Confidence supporting customers across phone, email, and live chat;
• Strong de-escalation and problem-solving skills, with the ability to remain professional in challenging customer situations;
• Ability to multitask and perform effectively in a fast-paced, high-volume environment;
• Strong attention to detail and an analytical, solution-oriented mindset;
• Flexibility and ability to quickly reprioritize as new information or situations arise;
• Self-motivation, reliability, and ability to work independently in a remote environment;
• Strong customer orientation and genuine motivation to deliver an exceptional customer experience;
• Ability to troubleshoot and confidently work with browser-based and mobile applications;
• Stable internet connection and reliable remote working environment.

Nice to have:

• Previous retail or e-commerce support experience;
• Experience with Zendesk, ClickUp, Shopify, WooCommerce, or similar customer support and e-commerce tools;
• Previous experience working fully remotely.

Work with EverHelp is about:

• 20+ vacation days and 10 paid sick leaves;
• Ability to work fully remotely;
• A professional team of specialists, ready to share their expertise, along with internal communities and team activities that foster continuous learning and development both within the team and on an individual level;
• Opportunity for career growth. 32% of our teammates obtained a new role during their first year of work in our company. 86% of our Team Leads have been our Customer Support Agents in the past.

Submit your resume and join our team!

We are building a digital orthodontics platform with interactive browser-based 3D tools and backend mesh-processing services.

This is a hybrid role combining native computational geometry in C++, browser-based 3D development with Three.js and TypeScript, full-stack development with Angular and Node.js, and deployment of geometry-processing workloads to AWS.

You will be able to take a 3D feature through its complete lifecycle: implement the geometry algorithm, expose it through a backend service, build the browser interaction, and deploy the complete workflow to production.

Important: this is not a 3D visualization-only position. The role requires hands-on experience with mesh manipulation, computational geometry, 3D mathematics, and geometry-quality validation.

You Are

• A Software Engineer with commercial experience building 3D, CAD, mesh-processing, medical 3D, 3D-printing, scientific visualization, or similar systems.
• Strong in modern C++17 or later, including memory management, performance profiling, native libraries, and dependency management.
• Strong in JavaScript/TypeScript and experienced with browser-based 3D development using Three.js or raw WebGL.
• Experienced with computational geometry and direct manipulation of triangle meshes.
• Familiar with mesh topology, normals, boundaries, connected components, non-manifold geometry, coordinate systems, units, and numerical tolerances.
• Have implemented or integrated mesh operations such as repair, remeshing, simplification, smoothing, cutting, Boolean operations, offsets, distance queries, collision/contact detection, or registration.
• Have practical experience with at least one geometry-processing library or SDK such as VTK, CGAL, Open3D, libigl, MeshLib, OpenMesh, or similar.
• Comfortable with the mathematics behind 3D systems, including vectors, matrices, transformations, projections, quaternions, linear algebra, and spatial queries.
• Familiar with spatial data structures and acceleration techniques such as BVH, octrees, or k-d trees.
• Experienced with Three.js concepts including BufferGeometry, materials, cameras, raycasting, object transforms, interaction tools, and rendering-performance optimization.
• Have practical experience with Angular and reactive application architecture using RxJS or equivalent patterns.
• Have backend experience with Node.js and Express or a comparable framework.
• Comfortable integrating native C++ processing with web services through a CLI, native library, binding, API, or containerized worker.
• Experienced with CMake, Linux, Docker, Git workflows, pull requests, and code review.
• Able to write automated tests for geometry code using fixtures, invariants, tolerance checks, and regression datasets.

• Able to investigate problems across the entire system—from incorrect geometry output to API integration, browser interaction, or cloud execution.

   

Will Be a Plus

• Experience with multiple geometry-processing libraries or commercial 3D SDKs.
• Experience with AWS services such as S3, SQS, Step Functions, ECS/Fargate, AWS Batch, Lambda, ECR, CloudWatch, and IAM.
• Experience designing asynchronous and long-running processing workflows.
• Experience with Infrastructure as Code using Terraform, AWS CDK, or CloudFormation.
• Experience with C++ bindings such as pybind11 or nanobind.
• Experience with Python, NumPy, trimesh, or similar geometry tooling.
• Experience with WebAssembly or compiling native C++ libraries for the browser using Emscripten.
• Experience with Web Workers, transferable buffers, SharedArrayBuffer, or moving CPU-intensive calculations outside the browser’s main thread.
• Experience with three-mesh-bvh, GLSL shaders, large-mesh rendering, or custom Three.js interaction tools.
• Experience evaluating third-party geometry SDKs, including benchmarks, licence restrictions, and headless deployment.
• Background in medtech, healthcare, dental CAD/CAM, scientific visualization, or 3D printing.

• Familiarity with AI-assisted development tools such as Cursor, Claude Code, or Codex.

   

What We Expect from You

• Own 3D features from geometry implementation through backend integration, browser tooling, and production deployment.
• Work directly with mesh data and geometry algorithms, not only with rendering and visual appearance.
• Define clear tolerances, invariants, validation rules, and quality checks for geometry operations.
• Identify cases where an operation cannot produce a reliable result and report them clearly.
• Make practical engineering decisions that help us deliver quickly without unnecessary overengineering.
• Proactively identify geometry-quality, rendering, performance, memory, and scalability issues.
• Maintain clear contracts between C++ processing, backend services, and browser-based 3D tools.
• Be comfortable working in an evolving product with changing priorities and early-stage ambiguity.
• Review, test, and validate AI-generated code before using it in production.

• Communicate effectively with domain experts, frontend engineers, backend engineers, and infrastructure engineers.

   

Responsibilities

• Build and improve native C++ mesh-processing tools and libraries.
• Implement and integrate computational geometry algorithms for processing and modifying complex 3D meshes.
• Build interactive browser-based 3D tools using Three.js and TypeScript.
• Implement Angular components, services, state management, and user workflows for 3D features.
• Develop Node.js/Express APIs that connect browser tools with native geometry-processing services.
• Define stable contracts for mesh formats, metadata, units, coordinate systems, transforms, inputs, outputs, and errors.
• Package C++ geometry operations as reliable headless Linux workers using Docker.
• Deploy geometry workers to appropriate AWS compute services and orchestrate them using Step Functions, queues, and object storage.
• Implement asynchronous job execution, progress reporting, retries, timeouts, failure handling, and structured error reporting.
• Optimize geometry-processing time, memory usage, output quality, browser rendering, and data transfer.
• Write unit, integration, end-to-end, and geometry-regression tests.
• Create representative mesh fixtures and tolerance-based quality checks.
• Investigate issues across C++, Node.js, Angular, Three.js, Docker, and AWS.
• Participate in technical design discussions, pull-request reviews, and engineering best practices.

• Use AI-assisted development tools responsibly to improve development speed and code quality.

   

What We Offer

• Work on an innovative product in the medical-tech and 3D geometry domain.
• High ownership and direct impact on product and technical decisions.
• The opportunity to work across computational geometry, browser 3D, backend systems, and cloud infrastructure.
• Flexible working hours within the European time zone.
• Fully remote, full-time, long-term cooperation.
• A fast-moving environment where strong engineers can influence the product and architecture.
• Company-paid AI development tools.
• Professional development support, including courses and certifications.
• 20 paid business days of vacation.
• 5 paid sick-leave days.
• Paid national holidays.

Pine Software Technology Ltd is a software company specializing in trading technology solutions for regulated brokers and trading firms. The company provides Software-as-a-Service (SaaS) products designed to support electronic trading, brokerage operations, risk management, and financial data analysis.

 

As a Middle General QA you will be responsible for validating the end-to-end reliability, speed, and accuracy of our backend news data ingestion and processing pipelines. You will design automated Python tests from scratch, monitor data integrity across multiple protocols, and collaborate closely with developers to debug issues and optimize overall system performance.

Responsibilities: 

* Perform manual and automated testing of backend services responsible for data ingestion, parsing, and aggregation (news feeds).

* Validate data processing pipelines: parsing, normalization, enrichment, and delivery of aggregated data.

* Analyze and test product requirements (functional and non-functional), with focus on data consistency, latency, and fault tolerance.

* Design and implement automated tests for backend services using Python (API / service-level testing).

* Participate in building and evolving the test automation framework from scratch.

* Test integrations with external data sources across different protocols.

* Create and maintain test documentation: test cases, checklists, data validation scenarios.

* Validate correctness and completeness of parsed data (content, timestamps, formats, duplicates, edge cases).

* Record, track, and manage bugs in Jira with detailed logs, payloads, and expected vs actual behavior.

* Analyze logs and system behavior to identify issues in data pipelines and integrations.

* Collaborate closely with developers on debugging parsing issues and data inconsistencies.

* Participate in sprint activities (planning, grooming, retrospectives) from a QA perspective.

* Take ownership of testing areas and contribute to overall system reliability.

Requirements: 

* 3+ years of experience in QA (manual + automation).

* Understanding of how LLMs and AI agents work, including their limitations and how to validate their output.

* Hands-on experience with AI assistants and agent tooling (e.g. Claude Code, Cursor, Copilot), including building reusable skills, prompt workflows, and connecting MCP servers.

* Practical experience applying AI in QA (test case and test data generation, log analysis, reproducing production issues, automating routine tasks).

* Practical experience with Python for test automation (API / gRPC / backend testing).

* Strong experience in API testing (REST/gRPC).

* Experience testing backend systems or data processing services.

* Understanding of data validation approaches (JSON, schemas, transformations).

* Ability to write SQL queries (SELECT, JOIN, WHERE, GROUP BY) for data verification.

* Experience working with logs and debugging backend issues.

* Experience designing or contributing to test automation frameworks.

* Experience creating test cases, checklists, and bug reports.

* Understanding of QA processes and Agile workflows.

* Understanding of CI/CD and role of automated tests.

* Experience working with Jira and test management tools (Qase, TestRail, etc.).

Nice to Have:

* Experience testing data pipelines or streaming systems.

* Understanding of different data protocols (HTTP, WebSocket, TCP/IP).

* Experience with log analysis tools (Kibana, Sentry).

* Experience with Docker/kubernetes.

* Experience with message brokers or streaming systems.

What do you expect the new hire to accomplish in their first 90 days?

* Become familiar with data pipelines, parsing logic, and supported data sources.

* Understand protocols used for data ingestion

* Get fully onboarded with QA processes, tools, and environments.

* Start independently testing backend features and validating data flows.

* Contribute to designing and building the automation approach and initial framework structure.

* Implement first automated tests for critical flows.

* Analyze logs and debug data-related issues.

* Actively participate in sprint ceremonies and contribute to quality improvements.

What We Offer:

* Hands-on application of cutting-edge AI instrumentation in active production workflows.

* Direct contribution toward refining key trading processes and operational performance metrics.

* Resolving complex, non-trivial technical challenges lacking pre-existing market patterns.

* Wide latitude for experimentation, innovative idea execution, and defining automation standards.

* Environment fostering an engineering-first culture, process design, and team capability expansion.

* High degree of ownership, trust, and professional autonomy across core domain areas.

* Close collaboration with strong engineering, trading, and management professionals.

Company’s benefits:

 

Care from Day One – medical insurance immediately upon starting work, including dental care, massage and professional psychological support because your well-being matters

Work-Life Balance – 25 days of paid vacation + 30 days of sick leave, so you can recover without unnecessary stress

Investment in your energy – partial reimbursement for any sports activities that empowers you.

Growth – partial coverage for English or Ukrainian language courses + a fixed budget for professional development. Choose what suits you best!

Knowledge Library – books in the office (Kyiv, Larnaka)

Island Relaxation 14 days a year – enjoy a getaway at the corporate villa in Cyprus.

Office of the Future – work at Unit City (Kyiv), where everything is designed for productivity, even during power outages or Modern Office in Larnaka – a stylish space for inspiration: open areas, cozy lounges, and functional meeting rooms – all for your comfort.

‍

Join the Pine team, where your talents and aspirations will be recognized! We offer a dynamic work environment, opportunities for professional growth, and support at every step of your career path. Start your journey to success with us—apply today and take the first step towards your bright future!

 

Pine is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. Please note that only shortlisted candidates will be contacted. Thank you for considering Pine as your next career move!!

On behalf of our Client, Mobilunity is looking for Senior Java Backend Engineer.

Our client is a high-growth, award-winning African nonprofit on a mission to radically transform healthcare access. The organization works across Africa to strengthen the potential and resilience of adolescent girls by providing access to stigma-free, no-cost, quality-assured healthcare services.

Their technology platform connects community organizations, healthcare providers, and retail partners by enabling referrals, verifying service delivery, facilitating payments, and generating real-time data.

The company operates across Kenya, Ethiopia, Uganda, Burkina Faso, South Africa, and Nigeria, with additional offices in Portugal, the Netherlands, and the United Kingdom. The global team consists of more than 250 international colleagues.

The role is part of an Agile technology team responsible for developing and maintaining the software platform that supports the organization’s services across multiple countries.

Key Responsibilities:

• Maintain and develop new features for the software platform.
• Apply software engineering principles across the design, development, maintenance, testing, and evaluation of software.
• Build reliable, scalable, and maintainable backend solutions.
• Contribute to the development of software from the ground up.
• Ensure the software developed is secure and appropriately protects information and personal data.
• Actively participate in technical meetings, projects, and Agile team activities.
• Collaborate closely with other engineers and team members to deliver platform functionality.
• Contribute to Agile rituals and development practices.
• Document technical work clearly so that it can be understood and maintained by other team members.
• Stay up to date with relevant technologies, engineering practices, and industry developments.
• Contribute to continuous improvement of the team’s development processes and technical practices.

Requirements:

• 7+ years of professional experience working with Java backend development.
• Strong experience with Java backend tools and frameworks, including Spring.
• Proven experience building software from the ground up.
• Strong understanding of software engineering principles, with a focus on code quality, maintainability, and scalability.
• Experience developing scalable backend systems and services.
• Strong problem-solving and logical-thinking skills.
• Experience working in an Agile software development environment.
• Good understanding of information security and personal data protection in software development.
• Excellent English communication skills, both spoken and written.
• Ability to work effectively as part of an international and distributed team.

Nice to Have:

• Experience working with microservices architecture.
• Hands-on experience with AWS.
• Experience working on high-growth technology platforms.
• Experience working with distributed teams across multiple countries.
• Experience in a product-oriented development environment.

On behalf of our Client, Mobilunity is looking for a Senior AI / ML Engineer.

Our client is a high-growth, award-winning African nonprofit on a mission to radically transform healthcare access. The organization works to strengthen the potential and resilience of adolescent girls across Africa by building local health ecosystems that provide stigma-free, no-cost, quality-assured healthcare services.

Their technology platform connects community organizations, healthcare providers, and retail partners by enabling referrals, verifying service delivery, facilitating payments, and generating real-time data.

The organization operates across Kenya, Ethiopia, Uganda, Burkina Faso, South Africa, and Nigeria, with additional offices in Portugal, the Netherlands, and the United Kingdom. The global team consists of more than 250 international colleagues and works in a fast-paced, informal, and collaborative environment.

The role focuses on one of the organization’s critical scaling challenges: risk and fraud on the platform. It combines strong software engineering and data infrastructure skills with deep hands-on experience building and deploying modern AI and LLM-based systems in production.

Key Responsibilities:

Agentic Systems & GenAI Engineering

• Design, deploy, and debug sophisticated agentic AI workflows with multi-step reasoning, memory integration, and Model Context Protocol (MCP).
• Build and operate multi-agent systems using LangGraph, LangChain, or equivalent frameworks.
• Architect and continuously improve Retrieval-Augmented Generation (RAG) pipelines, including chunking strategies, retrieval mechanisms, and end-to-end evaluation.
• Deploy and operate LLM-based services in production.
• Optimise LLM systems for latency, throughput, reliability, and cloud costs using technologies such as LiteLLM, vLLM, SageMaker, or Bedrock.

Production ML & Engineering

• Develop traditional machine learning models for structured data, including classification, regression, ranking, and/or NLP use cases.
• Write clean, maintainable, production-quality Python code that integrates with the wider data and software engineering ecosystem.
• Work with large-scale structured datasets using complex SQL queries and data pipelines.
• Design and maintain evaluation and monitoring approaches for AI/ML systems.
• Contribute to team rituals, technical documentation, and shared engineering practices.
• Build systems with appropriate failure handling, monitoring, and graceful degradation.
• Take ownership of solutions from initial design through production operation and continuous optimisation.

Requirements:

• 5+ years of professional experience as an ML Engineer, Data Scientist, AI Engineer, Software Developer, or a similar role.
• Proven experience shipping and operating production software.
• Outstanding proficiency in Python.
• Strong experience working with large-scale structured data using SQL.
• Proven practical experience building and serving LLM-based or agentic AI systems for real users in production, rather than only developing internal prototypes.
• Hands-on experience with agent orchestration, multi-step AI workflows, or similar production GenAI systems.
• Solid understanding of traditional machine learning, with strong expertise in at least one area such as tabular ML, NLP, or deep learning.
• Strong understanding of production ML systems, including reliability, monitoring, evaluation, and optimisation.
• Strong verbal and written English communication skills.
• Ability to work independently, move quickly through iterative feedback loops, and take ownership of business outcomes.

Nice to Have:

• Experience in Risk, Fraud, Credit, Insurance, Cybersecurity, Fintech, or similar domains.
• Experience with GenAI observability, drift detection, and evaluation frameworks such as LangSmith, Evidently, or RAGAS.
• Hands-on experience with AWS environments and MLOps automation.
• Experience with containerisation and CI/CD for machine learning systems.
• Experience with LLM serving and optimisation using tools such as LiteLLM, vLLM, SageMaker, or Bedrock.
• Experience with LangGraph, LangChain, MCP, or multi-agent frameworks.
• Experience mentoring junior engineers or contributing to the wider technical community through blogging, talks, or public speaking.

On behalf of our Client, Mobilunity is looking for a Java Backend Engineering Team Lead.

Our client is a high-growth, award-winning African nonprofit on a mission to radically transform healthcare access. The organization works to strengthen the potential and resilience of adolescent girls across Africa by building local health ecosystems that provide stigma-free, no-cost, quality-assured healthcare services.

Their technology platform connects community organizations, healthcare providers, and retail partners by enabling referrals, verifying service delivery, facilitating payments, and generating real-time data.

The organization operates across Kenya, Ethiopia, Uganda, Burkina Faso, South Africa, and Nigeria, with additional offices in Portugal, the Netherlands, and the United Kingdom. The global team consists of more than 250 international colleagues and works in a fast-paced, informal, and collaborative environment.

The role focuses on one of the organization’s critical scaling challenges: risk and fraud on the platform. It combines strong software engineering and data infrastructure skills with deep hands-on experience building and deploying modern AI and LLM-based systems in production.

Key Responsibilities:

Team Leadership

• Lead, support, and develop the individuals within the software engineering team.
• Coordinate the team’s engineering work and help ensure priorities and deliverables are effectively managed.
• Conduct team performance reviews and support the professional development of team members.
• Foster a collaborative environment focused on engineering quality, continuous learning, and knowledge sharing.

Software Development

• Maintain and develop new features for the software platform.
• Apply software engineering principles across the design, development, maintenance, testing, and evaluation of software.
• Contribute hands-on to building scalable and maintainable backend systems.
• Ensure that software developed by the team meets appropriate security and data protection requirements.
• Participate in Agile rituals and development practices.
• Document technical work clearly and ensure that documentation is understandable and useful for future maintenance.

Requirements:

• 8+ years of backend engineering experience focused on JVM languages.
• 2+ years of formal leadership experience managing a team of Java backend engineers.
• Experience conducting team performance reviews and supporting the development of engineering team members.
• Strong hands-on experience with Java and the Spring framework.
• Extensive experience with Java backend tools and frameworks.
• Experience working with microservices architecture.
• Hands-on experience with AWS.
• Proven experience building software from the ground up.
• Strong understanding of software engineering principles, with a focus on quality, scalability, and maintainability.
• Strong problem-solving and logical-thinking skills.
• Experience working in an Agile software development environment.
• Good understanding of software security and data protection.
• Excellent spoken and written English.

Nice to Have:

• Experience or knowledge of Salesforce CRM.
• Experience working on high-growth technology platforms.
• Experience working with international and distributed engineering teams.
• Experience contributing to technical strategy and continuous improvement beyond day-to-day development.
• Currently based in Portugal.

Job Description

- 5+ years of commercial hands-on experience in embedded C programming

- Experience in embedded/IoT devices development based on Linux/RTOS

- Strong understanding of system design, data structures, and algorithms

- Excellent communication in English (both written and spoken)

- Good analytical skills

Job Responsibilities

- Develop gateways and end devices (like cameras) for the IoT ecosystem

- Software design and implementation

- Analyzing and solving complex engineering problems in IoT environment

- Creating and reviewing: component functional requirements and interface specifications based on system and HW capabilities

- Cooperation with project managers in planning activities

Department/Project Description

We are looking for experienced, open-minded, and creative Senior Embedded C developer, to join our team of IoT experts.

You will create new and develop existing products related to the IoT network: floodlight cameras, smart doorbells, smart alarms, and anything else you can imagine thinking about smart home and home security. And by saying “create” we really mean it. This is the role in which your ideas and creativity are much welcome, as the final result will depend on our team’s approach and work.

All products are Linux-based devices, so the area of your responsibility will contain drivers, application layer, sending data to cloud/internet etc. If you already have some experience in this area – great! If not, don’t worry – we will provide you access to unique technology, experts, and know-how, just give us a good basis! You will also be cooperating closely with the R&D team in the USA.

Moreover, you will contribute to the most recognized brand in the world and this is not an exaggeration. Like millions of people on this planet, you know this brand, you use it, and you benefit from its products almost every day. Now it is your turn to be a part of it. Are you ready?

If you have a feeling, even slightly, that this is something for you – don’t hesitate. Our awesome recruitment team will provide you more information and guide you through the process.
Don’t waste any second, apply! :)

Skill Category

C/Embedded

Keyskills - Must Have

• C
• Python
• C++
• Embedded Linux
• Embedded
• IoT

Keyskills - Nice to Have

• WiFi
• Linux
• BLE

About the Role  

The Product Manager for the Farm Management System (FMS) is responsible for translating strategic objectives and diverse stakeholder needs into clear, structured, and implementable software requirements.  

This role operates at the intersection of:  

• Global product strategy  
• Regional commercial needs  
• Large grower requirements  
• Engineering constraints  
• Integration partners (machinery, satellite, APIs)  

Approximately 70% of the role is focused on writing and maintaining high-quality software requirements, ensuring clarity, feasibility, and alignment with long-term product direction.  

This is a highly structured, detail-oriented product role with strong emphasis on prioritisation, scope control, and execution excellence.  

Key Responsibilities 

Feature Intake & Stakeholder Management  

• Collect feature requests from:  
• Commercial units (CUs)  
• Large growers  
• CP / Seeds business units  
• Customer success  
• Engineering  
• Integration partners  
• Clarify problem statements and expected business outcomes  
• Challenge unclear or misaligned requests  
• Identify overlaps, duplication, and local customizations  

Deliverable:  

• Structured feature intake documentation  

• Clear problem framing before development discussion 

   

Prioritisation & Strategic Alignment  

• Evaluate requests based on:  
• Strategic fit with FMS roadmap  
• Revenue impact  
• Adoption impact  
• Technical complexity  
• Global scalability  
• Regulatory / country constraints  
• Maintain and continuously refine prioritisation frameworks (e.g., RICE, Value vs Effort, Strategic Fit scoring)  
• Protect roadmap integrity against reactive feature creep  

Deliverable:  

• Transparent prioritisation model  
• Quarterly roadmap aligned with global product strategy  
• Executive-ready justification of decisions  

Software Requirements Definition (Primary Focus ~70%)  

The core of the role.  

• Translate approved features into:  
• Clear functional requirements  
• Non-functional requirements  
• Acceptance criteria  
• User flows  
• Edge cases  
• Define system behavior across:  
• Web  
• Mobile  
• API  
• Integrations (e.g., machinery, satellite, telematics)  
• Collaborate closely with UX to ensure usability consistency  
• Ensure alignment with architecture and technical constraints  
• Maintain structured documentation (e.g., Jira, Confluence, PRDs)  

Deliverable:  

• High-quality Product Requirement Documents (PRDs)  
• Detailed user stories with acceptance criteria  
• Reduced ambiguity for engineering teams  
• Minimal rework due to unclear specs  

Success metric:  

• Low development rework rate  
• Clear estimation cycles  
• Predictable delivery  

Cross-Functional Delivery Support  

• Work closely with:  
• Engineering  
• UX  
• Data science  
• DevOps  
• Integration teams  
• Participate in backlog grooming, sprint planning, and refinement  
• Clarify requirements during implementation  
• Validate feature behavior before release  

Deliverable:  

• High implementation clarity  
• Reduced requirement interpretation gaps  

Product Governance & Scalability  

• Ensure global consistency across countries  
• Avoid fragmentation of FMS core  
• Promote reusable, scalable feature design  
• Drive modular architecture thinking  

Required Skills and Qualifications 

Product Skills  

• Strong experience writing detailed software requirements  
• Experience in complex SaaS platforms  
• Ability to structure ambiguous inputs into precise specifications  
• Strong backlog management discipline  

• Advanced prioritisation and scope control capability  

   

Technical Understanding  

• Understanding of:  
• APIs  
• Data flows  
• Integrations  
• Enterprise SaaS architectures  

• Ability to discuss technical trade-offs with engineering  

   

Stakeholder Management  

• Comfortable handling conflicting requests  
• Able to say “no” with structured justification  

• Strong executive communication  

   

Domain Knowledge (Preferred)  

• Farm Management Systems / ERP  
• Agronomy workflows  
• Machinery integrations  
• Telematics  
• Enterprise growers  

The Company Offers  

Opportunity to be a part of a best-in-class product that is used by thousands of companies around the world.   

• Annual performance bonus scheme.   
• Career growth opportunities.   
• An environment where you need to seek and implement unique solutions.   
• Training and development programs.   
• Young and dynamic team with a friendly and open culture.   
• Health and life insurance for employees and your family members.   
• 32 working days of paid annual leave and sick leave. 

What We Offer

• 100% remote work opportunity and flexitime - choose working hours between 8:00-20:00 Kyiv time.
• Personal Growth Budget in USD (Travel, Health & Psychotherapy, Sports, Education & Training, Software, Work Equipment).
• Competitive compensation in USD with regular salary reviews.
• Paid vacation, holidays, and sick leave.
• Continuous professional growth through mentorship, feedback, and knowledge sharing.
• English Speaking Club with a native speaker.
• Access to AI tools, including coding assistants for engineers and LLM subscriptions for non-technical specialists.
• Projects with clients across Europe and North America across FinTech, Logistics, Hospitality, E-commerce, Legal, Music, and other industries.
• Transparent processes, flat management structure, and a supportive team culture.

About the Role

• We are hiring a Senior Full-Stack Engineer to become one of the strongest technical contributors on the team.
• The single most important thing we’re looking for is experience scaling a SaaS product. We want someone who has already seen what happens as a live platform grows: increasing complexity, technical debt, scaling bottlenecks, evolving data models, unreliable integrations, and engineering decisions that worked at one stage but became expensive at the next.

• This is a hands-on senior engineering role with strong technical leadership expectations. You will design and write production code, own substantial systems end to end, influence architectural decisions, challenge technical direction when needed, and raise the engineering level of the people around you.

   

Project

• FinTech SaaS platform built for the restaurant and hospitality industry. Our products handle tip pooling and payouts, payroll, reporting and compliance, labor and operational data, and integrations with the systems hospitality businesses already use. The platform is live, serves thousands of customers and moves millions of dollars.

   

Required Hard Skills

• Several years operating at Senior Engineer level on a SaaS product that grew significantly while you were there. You have seen a system become meaningfully bigger and understand the problems that tend to arrive next.
• Strong Python and Django / Django REST Framework experience, or deep experience in a closely comparable backend stack.
• Strong React and TypeScript experience, with the ability to work effectively across backend and frontend when required.
• Strong PostgreSQL and data modeling skills. You should be comfortable designing schemas that can evolve as the business grows into new products and safely changing them once they contain production data.
• Production experience with asynchronous and distributed workloads using Celery or comparable technologies.
• Strong understanding of API design and third-party integrations, including failure handling, retries, idempotency, data consistency, reconciliation, and situations where the system on the other side is unreliable or outside your control.
• Strong understanding of software architecture and the ability to make pragmatic architectural decisions inside a large existing codebase rather than only designing systems from scratch.
• Experience identifying and addressing performance, scalability, reliability, and maintainability problems before they become critical.
• Strong testing practices and experience safely evolving systems that must remain operational while they are being changed.
• Production experience with Docker, CI/CD, monitoring, error tracking, and observability. 
• Strong Linux knowledge. 
• Sound judgment about technical debt: knowing the difference between an acceptable shortcut and one that will create significant problems later, and being able to improve a system while it remains in production.
• Everyday experience with using AI agents for work (Claude Code or Codex). Familiar with configuring AI toolset, understanding pros and cons of modern AI.

Current Stack

• Django / DRF, PostgreSQL, Redis, Celery, Docker, Traefik, Datadog, Sentry, Mailgun, GitHub Workflows.
• Next.js, MUI, TanStack Query, React Hook Form, Zod, Vitest.

Nice to Have

• FinTech or financial systems experience, particularly payments, payouts, ledgers, reconciliation, payroll, banking, audit trails, or other systems where financial correctness matters.
• Experience with restaurant or hospitality technology, including POS, scheduling, workforce management, payroll, or similar systems.
• Experience with high-volume or business-critical third-party integrations.
• Experience improving a system with meaningful legacy code or technical debt while the product remained actively developed.
• Experience with multi-tenant SaaS architectures.
• Experience improving engineering practices across a team rather than only within your own work.
• Experience as a Senior Engineer in a company of roughly 20–200 people, where your role included helping decide what technical work actually mattered.

Required Soft Skills

• Ability to take technical ownership beyond your own tickets and think about the health of the product and engineering system as a whole.
• Strong engineering judgment and the confidence to challenge technical decisions constructively, including decisions made by Staff Engineers and engineering leadership.
• Comfort with ambiguity. Problems will not always arrive fully specified, and part of your job is asking the questions that make them clear before code gets written.
• Ability to explain complex technical trade-offs clearly to engineers, Product, and non-technical stakeholders.
• A strong teaching mindset. You explain your reasoning, document important decisions, review code seriously, and make the engineers around you better rather than becoming the only person who understands a difficult system.
• Comfortable taking leadership during difficult technical situations without waiting for someone else to define every step of the solution.
• Strong written communication and self-direction. The team is distributed across Canada and Europe with limited live overlap, so you need to communicate clearly asynchronously and drive your own work.
• Fluent English, written and spoken.

Key Responsibilities

1. Own substantial systems end to end

• Take meaningful problems that have been identified but not fully solved and work with Staff Engineers and Product to determine the right technical approach.
• Own complex initiatives from problem definition through design, implementation, migration, testing, rollout, and production monitoring.
• Design not only for the expected path, but also for what happens when something goes wrong in production.

• Remain responsible for the systems you build once they are carrying real customer data and real money.

   

2. Help strengthen the architecture of a growing product

• Work closely with Staff Engineers and the VP of Engineering on architectural decisions and technical direction.
• Understand the existing architecture and identify where today’s decisions may create tomorrow’s problems.
• Identify areas where the platform may struggle as product complexity, integrations, customers, data volume, and transaction volume increase.
• Challenge architectural decisions constructively when you see a better approach.

• Help evolve the architecture incrementally through small, safe improvements rather than unnecessary rewrites or over-engineering.

   

3. Protect correctness, reliability, and engineering quality

• Treat financial correctness as a first-class engineering concern.
• Design for reconciliation and auditability: how we prove a number is correct, understand how it was produced, and detect discrepancies before customers do.
• Use Datadog, Sentry, logs, production data, and other signals to identify recurring problems and their root causes.
• Improve observability, error handling, testing, deployment safety, performance, and operational reliability.

• Make sure recurring production problems are solved systematically rather than repeatedly patched.

   

4. Own technically difficult areas of the product

• Lead work involving complex third-party integrations, asynchronous workflows, data synchronization, reconciliation, migrations, and failure recovery.
• Design systems that behave predictably when external APIs fail, requests are duplicated, jobs execute late, or data arrives in an unexpected state.
• Work closely with Product to make technical feasibility and engineering constraints visible before implementation begins.

• Help break large technical initiatives into safe, incremental pieces that can be built, migrated, and released without unnecessarily putting the existing platform at risk.

   

5. Make the case for important technical work

• Identify technical debt, platform investment, reliability work, and architectural improvements that may not naturally appear on the product roadmap.
• Distinguish between debt that can safely remain and debt that is materially affecting reliability, engineering speed, or future product development.
• Make the business and technical case for that work using evidence rather than engineering preference alone.

• Help sequence improvements so they support product development rather than competing with it unnecessarily.

   

6. Raise the level of the engineering team

• Be a strong technical reference point for other engineers.
• Review architecture, designs, and pull requests with a focus on correctness, reasoning, and long-term maintainability.
• Explain why you would make a decision differently rather than simply leaving a verdict.
• Mentor engineers through reviews, pairing, technical discussions, and example.
• Document important knowledge and decisions so understanding stays with the team rather than with one individual.

• Take leadership when a difficult technical problem crosses multiple areas or engineers.

   

7. Remain hands-on

• Design and write production code across the backend and frontend.
• Take direct ownership of technically difficult or risky work when appropriate.
• Debug difficult production issues and establish their root causes.
• Read and understand the existing codebase before changing it.

• Build enough direct knowledge of the platform to ensure your technical decisions are grounded in how the system actually works.

   

Who this position is not for

• This is not a role for someone whose definition of seniority is simply delivering more complicated tickets. 
• If you prefer receiving clearly defined tickets and technical solutions and then implementing them, this role will probably be frustrating.
• It is not a management role. You won’t have direct reports or headcount responsibility. Leadership here comes through technical ownership, judgment, mentoring, reviews, and influence.
• It is also not a Staff Engineer role. Our Staff Engineers and VP of Engineering set the overall technical direction and architecture. You will help shape that direction, challenge it when needed, and fully own the design and implementation of substantial systems within it.
• It is not a greenfield role. You will be joining a live platform with thousands of customers and a roadmap that does not pause while technical improvements are made. Much of the work involves understanding existing systems, migrating them safely, and improving them incrementally rather than replacing them.
• If you naturally ask what happens when the system gets significantly larger, how it fails, how we know the data is correct, and what today’s shortcut will cost us a year from now, you’ll recognize the work.

Things You Should Know Before Applying

• The engineering challenge is no longer simply building features quickly. It is continuing to ship while improving reliability, scalability, architecture, and the technical foundation required for significant year-over-year growth
• There is technical debt. Part of your job is determining which debt actually matters, making its impact visible, and helping address it without stopping product development.
• Requirements will sometimes be incomplete. We expect you to help shape the solution rather than wait for perfect specifications.

• You will be expected to disagree when necessary, propose better approaches, and explain the reasoning behind them.