Platform Engineer Jobs in Poland.
All active Platform Engineer roles based in Poland.
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Staff Systems Software Engineer
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About Us:
Sauce Labs is the world's largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world's top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.
The Role:
This pivotal role drives the design and implementation of high-value features and the foundational Error-Reporting/Backtrace platform. This is a strategic product in the Sauce Labs portfolio, and you will be instrumental in enabling customers to analyze multi-dimensional data and debug at scale to resolve their business-critical production issues. Your solutioning and development expertise in native, low-level systems (Rust, C/C++) will accelerate the evolution of this intricate product with a highly performant custom columnar database. Core Linux backend skills and a DevOps perspective are essential to design and evolve a scalable, maintainable platform. You will collaborate remotely with a global engineering team on new capabilities, enhancing backend performance, reliability, data analysis, and user experience. If you have compelling code to share, we would love to see it—we hire for demonstrable talent first!
Responsibilities:
- Extend core subsystems including work scheduling, networking (HTTP), storage, indexing, and data analysis. Performance-sensitive components are primarily in Rust and C/C++.
- Enhance platform observability by integrating bespoke and off-the-shelf OpenTelemetry capabilities, encompassing metrics, tracing, and profiling, and evolving Grafana dashboards to provide deeper insights.
- Collaborate with business and management functions to develop and execute the product roadmap.
- Provide technical leadership, advising on investments, leading solution design and development, and mentoring junior staff.
- Participate in on-call rotation.
- Contribute to improvements in the software development lifecycle for increased velocity and quality.
Required Skills:
- 7+ years of development experience in C/C++ and Rust.
- Demonstrable skill in developing specialized data structures, algorithms, and supporting infrastructure for real-world workloads.
- Solid experience with cloud platforms (GCP, AWS).
- Proficiency with live and post-mortem debugging tools.
- Expertise in the development of AI-driven features, as well as agents and skills integrated with internal workflows.
- Strong experience managing/scripting CI and scaling infrastructure using DevOps tools like Jenkins, Docker, Kubernetes, and Salt.
- You are autonomous, take initiative, and act on it.
- You stay current with the field, having read at least 2 relevant computer systems papers in the last year.
- You have a proven track record of collaboration and pragmatism, leveraging the strengths of others to build great products.
This Saucer can be found globally. We believe in the power of in-person collaboration to build strong relationships and drive innovation. To support this, our office models are tailored by region:
- Poland, Berlin, and the US: We operate on a hybrid basis, offering flexibility alongside collaboration with in-office days as required.
- India: We operate in-office 5 days a week to maximize team synergy and real-time collaboration and mentorship.
Regardless of location, Saucers living near an office are expected to be present and engaged with their local teams.
Please note our privacy terms when applying for a job at Sauce Labs.
Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.
Security responsibilities at Sauce
At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.
Ready to apply?
Apply to Sauce Labs Inc.Senior Software Engineer (python, networking)
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About Us:
At Sauce Labs, we empower the world's top enterprises - like Walmart, Bank of America, and Indeed - to deliver quality web and mobile applications at speed. Our industry-leading platform ensures continuous quality across the SDLC, using AI-powered analytics to identify key quality signals from development through production. With our unified solution, teams can release and innovate with confidence, knowing their apps will always look, function, and perform exactly as they should. Backed by TPG and Riverwood Capital, we are shaping the future of digital confidence - join us!
The Role:
Sauce Labs is looking for a passionate Senior Backend Engineer to join the Sauce Connect team. This agile development team plays a critical role in enabling enterprise customers to maximize their use of Sauce Labs by providing a fast, secure connection between their internal development networks and our cloud-based virtual testing environments. You will work closely with the Product Owner, Engineering Manager, and other talented Sauce Connect engineers to achieve excellent results and shape the future of Sauce Connect
Responsibilities:
- Lead the technical direction and architectural design of Sauce Connect, collaborating with a cross-functional team to deliver a fast, secure, and scalable tunneling solution.
- Design, develop, and own projects across the full stack, from the backend server infrastructure to the client-side application on Linux, Windows, and macOS.
- Act as a technical expert for complex, escalated customer issues, performing root cause analysis and implementing robust solutions to prevent future problems.
- Drive continuous improvements in the scale, performance, and quality of our Trusted Connection Technologies, mentoring other engineers on best practices and system health.
- Proactively identify and evaluate emerging technologies in the open-source community, presenting well-researched proposals for adoption to drive innovation and technical excellence.
- Make and defend architectural decisions based on your extensive experience, balancing trade-offs between technical debt, velocity, and long-term maintainability.
Required Skills:
- 5+ years of professional software development experience in Python or Golang, with a proven track record of designing, building, and operating complex distributed systems and high-availability online services at scale.
- Experience in working with CI/CD tools (designing and implementing robust, automated pipelines using tools like GitHub Actions, GitLab CI, or Jenkins)
- Advanced experience with tunneling, proxy, or VPN-related solutions, with a understanding of their security implications and performance characteristics.
- Deep knowledge of TCP/IP networking, HTTP2, SSL/TLS, and WebSockets. You should be able to debug network issues at the packet level.
- Hands-on experience deploying and managing containerized applications at scale using Kubernetes.
- Demonstrable product development experience, including the ability to influence product strategy and make technical trade-offs to deliver customer-facing value.
- Exceptional ownership mentality and a passion for crafting elegant, well-architected products that deliver stellar user experiences.
Nice to Haves:
- Experience with asynchronous programming
- Experience building and consuming microservices
- Knowledge and understanding of data structures, algorithms, distributed systems, and design patterns.
- Familiarity with modern monitoring systems (e.g., Prometheus or OpenTelemetry)
- Understanding of common security practices involved in protecting customer data
We are a hybrid workplace that recognizes the importance of flexibility while valuing in-person collaboration and relationship building. As a result, Saucers located near an office location must be able and willing to come into the office. Those hired remotely must be able and willing to travel to an office as required by the specific role.
Please note our privacy terms when applying for a job at Sauce Labs.
Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.
Security responsibilities at Sauce
At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.
The compensation range provided below represents the base salary only for a Full-time Employment contract (umowa o pracę) and excludes fringe benefits, potential bonuses, or stock-based compensation (equity). Your individual offer will be determined based on factors such as skills, education, professional experience, and internal equity (alignment with similarly situated team members at Sauce Labs).
Benefits and Perks that we offer include but are not limited to: wellness benefit, commuter benefit, WFH stipend, professional development budget, pension Program (PPK). There is no collective agreement in force at the workplace. To see more about benefits and perks at Sauce Labs, please check out our careers page at saucelabs.com/company/careers.
Ready to apply?
Apply to Sauce Labs Inc.
DevOps Engineer (Digital Marketing sphere)
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Company Background
Our client is a global technology company transforming the advertising landscape by enabling advertisers, agencies, publishers, and broadcasters to leverage advanced data and modern TV technologies. Their unified technology stack includes a demand-side platform (DSP), a supply-side platform (SSP), and a robust data platform that supports scalable advertising solutions. With an international presence and a culture of flexibility and innovation, they are building a world-class engineering organization.
Project Description
As part of the DevOps team, you will be embedded within one or more software engineering teams to deliver infrastructure and operational support. You’ll take ownership of delivering scalable, automated systems and services. Your work will help bridge the gap between development and operations, ensuring reliable, secure, and performant infrastructure across a modern microservices architecture. You’ll be expected to operate infrastructure in AWS, build CI/CD pipelines, monitor performance, troubleshoot complex issues, and support both development teams and live production systems.
Technologies
- Linux
- AWS
- Chef
- Ansible
- Terraform
- Bash
- Python
- Ruby
- Bamboo
- Kubernetes
- REST APIs
- Microservices
- Prometheus
- InfluxDB
- Nagios
- ELK
- Zookeeper
- Consul
- Spark
- Hive
- EMR
- Couchbase
What You'll Do
- Contribute to the design and implementation of infrastructure solutions with a strong focus on automation and scalability;
- Operate, monitor, and troubleshoot infrastructure in large-scale production environments;
- Support developers with deployment, observability, and reliability tooling;
- Develop scripts and automation tools for monitoring, incident response, and infrastructure tasks;
- Collaborate across engineering and business teams to maintain operational excellence;
- Maintain system documentation, deployment procedures, and best practices;
- Proactively identify performance bottlenecks and implement tuning strategies;
Job Requirements
- 3+ years of experience in DevOps roles supporting large-scale production environments;
- Expertise with AWS;
- Strong Linux skills, with advanced knowledge of system internals and networking;
- Knowledge of Victoria Metrics, Click House, and Grafana;
- Hands-on experience with infrastructure-as-code tools like Chef, Terraform, or Ansible;
- Proficiency in scripting languages such as Bash, Python, or Ruby;
- Experience with Kubernetes and container orchestration;
- Familiarity with monitoring tools like Prometheus, Nagios, or InfluxDB;
- Experience with CI/CD practices and tools;
- English: B1+ level (spoken and written);
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Internal startup incubator;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
AI/ML Developer
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We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery-it is about shaping how AI is built, shared, and scaled across the company.
As part of this group, you will play a key role in internal capability development, with a strong focus on designing and evolving AI Accelerators-reusable frameworks, templates, and reference architectures covering GenAI, LLM-based solutions, ML pipelines, and cloud-native AI systems. These accelerators will become the backbone of our AI offerings, enabling faster delivery, higher quality, and consistent technical standards across projects.
A second core dimension of the role is knowledge leadership. Strategic hires will actively contribute to internal knowledge-sharing initiatives: technical deep dives, hands-on workshops, demos, and best-practice sessions covering topics such as GenAI orchestration, RAG, model deployment, prompt and system design, observability, and cost-efficient AI architectures. You will help raise the overall AI maturity of the organization while mentoring engineers and influencing technical direction. In addition, members of this group will act as AI project jumpstarters, joining new client engagements for up to 50% allocation over 1-2 months. In this capacity, you will help define solution architectures, validate technical approaches, build initial prototypes, and set strong engineering foundations before teams scale. This gives you exposure to diverse domains and cutting-edge AI use cases while maximizing your impact across multiple initiatives.
Project Description
We are looking for a highly skilled and innovative Machine Learning Engineer to develop and expand our Generative AI and Computer Vision capabilities. This role involves accelerating Technical Sales Support, Architecture and PoC development.
Technologies
- Python
- Git, CI/CD practices for ML and data pipelines
- AWS and/or Azure
- PyTorch, TensorFlow
- MLflow
- LLMs and NLP tasks
- Generative AI concepts
- LangChain/LangGraph, LlamaIndex
- Qdrant, Pinecone, Weaviate, FAISS or similar
- RNNs, Transformers
- Dataset labeling, annotation tools (e.g., Label Studio, CVAT)
- Prometheus, Grafana, DataDog, OpenTelemetry
- YOLO, SDD
- Segmentation models
- Image Classification
What You'll Do
- Lead the design, development, and deployment of scalable ML services;
- Architect and implement AI/ML solutions, ensuring model quality, governance, and security;
- Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);
- Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements;
- Mentor and guide junior engineers, promoting best practices in ML engineering;
- Develop and maintain documentation, ML models, and technical standards;
- Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments;
- Stay up-to-date with emerging trends and technologies in AI/ML field;
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
- 5+ years of experience in ML engineering, with at least 1 years of hands-on experience with LLMs;
- Strong proficiency in Python;
- Experience with cloud data platforms (AWS and/or Azure);
- Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering;
- Experience with data governance, security, and compliance in cloud environments;
- Excellent problem-solving, communication, and leadership skills;
- English: Upper Intermediate level or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Cloud Infrastructure Engineer (Data Center)
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Company Background
Our client is a leading global data center provider delivering hyperscale and edge infrastructure solutions across the Americas, EMEA, and Asia-Pacific. With 80+ data centers in 20+ countries, they partner with industry leaders such as Google, Oracle, NVIDIA, and Microsoft Azure to power the world’s digital infrastructure. Recognized as a USA TODAY Top Workplace for four consecutive years, the company continues to expand its global footprint and customer ecosystem.
Project Description
We are looking for a Cloud Infrastructure Engineer to help shape and deliver a modern cloud and hybrid IT strategy across Azure, AWS, and GCP. In this role, you will design scalable, secure, and cost-effective infrastructure that supports enterprise applications, hybrid connectivity, and next-generation data and AI/ML workloads.
Technologies
- Azure ecosystem
- Azure DevOps
- GCP / AWS
- Infrastructure as Code: Bicep
- Windows Server
- Microsoft SQL Server
What You'll Do
- Lead the assessment and modernization of enterprise cloud workloads, defining migration roadmaps across retain, re-platform, refactor, and retire scenarios;
- Design governed multi-cloud landing zones across Azure, AWS, and/or GCP, standardizing networking, identity, policy, and account/subscription topology through Terraform and Bicep;
- Establish cloud-agnostic infrastructure practices, reusable IaC modules, and automated provisioning standards to reduce manual operations and subscription sprawl;
- Govern identity and access across cloud platforms, SaaS applications, and CI/CD workloads using Microsoft Entra ID, conditional access, workload identity federation, and service principal controls;
- Architect secure hybrid and cross-cloud connectivity, including ExpressRoute, SD-WAN, traffic segmentation, and low-latency data transfer patterns;
- Implement zero-trust security controls for IT/OT boundaries, including inspected and policy-enforced traffic flows for SCADA, HMI, ICS, and enterprise systems;
- Design resilient, highly available cloud architectures with defined RTO/RPO targets and automated disaster recovery validation;
- Build platform services, CI/CD templates, and self-service infrastructure capabilities that enable internal teams to consume cloud services through documented standards and APIs;
- Implement governance, policy-as-code, and FinOps practices to enforce security, compliance, cost tagging, spend attribution, and cloud cost optimization;
- Support strategic modernization initiatives, including Kubernetes adoption, application containerization, database optimization, and reduction of Windows server licensing costs;
Job Requirements
- 7+ years of experience in cloud infrastructure engineering, with deep hands-on expertise in Microsoft Azure and production experience with at least two major cloud providers, such as Azure, AWS, or GCP;
- Strong experience with cloud networking, IAM, compute, IaaS/PaaS services, and Microsoft Entra ID / Azure AD, including conditional access, workload identity federation, SAML/SCIM, and service principal governance;
- Proven expertise in IaC using Terraform and/or Bicep, including governed landing zones, module registries, and cloud infrastructure migration;
- Hands-on experience designing and operating CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools, including pipeline-as-code, security scanning, and deployment gates;
- Solid understanding of zero-trust architecture, IT/OT boundary security, and industrial control environments such as SCADA, HMI, and ICS;
- Experience designing and validating disaster recovery architectures across regions and cloud providers, including RTO/RPO definition and automated failover testing;
- Familiarity with FinOps practices and tools, including cost tagging, spend attribution, showback/chargeback models, CloudHealth, CloudCor, or native cloud cost tools;
- Experience with policy-as-code frameworks such as Azure Policy, AWS SCPs, GCP Organization Policies, or Open Policy Agent;
- English level: B2 or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
AI focused DataBricks Developer (Digital Engineering)
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Company Background
Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.
Project Description
The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.
Technologies
- Azure
- Databricks (Architecture, Unity Catalog, Delta, Lineage, Permissions, Databricks Genie, Notebooks)
- Agentic AI (Mosaic AI)
- Python
- SQL
What You'll Do
- Develop and maintain data pipelines within the Azure-based data platform;
- Work with the Databricks ecosystem (Delta Tables, Unity Catalog, notebooks) to process and manage data;
- Build and optimize data transformations using Python and SQL;
- Develop and support AI-driven data pipelines and automation using Databricks (Mosaic AI or similar tools);
- Support and enhance existing production data systems;
- Collaborate with a team of engineers on Databricks-based solutions;
- Ensure data quality, consistency, and reliability across data pipelines;
Job Requirements
- 3+ years of experience as a Data Engineer;
- Strong experience with Databricks ecosystem (Architecture, Unity Catalog, Delta tables, lineage, permissions, Databricks Genie, notebooks);
- Strong experience with Python;
- Solid proficiency in SQL;
- Experience working in Azure cloud environment;
- Experience with Databricks pipelines AI automation (Mosaic AI or AWS Agentcore);
Nice To Have
- Experience with Azure data integration tools (Synapse Pipelines, Azure Data Factory);
- Experience with Azure SQL pools;
- Understanding of performance tuning for data workloads;
- Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC);
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Data Engineer (Digital Engineering)
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Company Background
Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.
Project Description
The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.
Technologies
- Azure
- Databricks (Architecture, Unity Catalog, Delta, Lineage, Permissions, Databricks Genie, Notebooks)
- Synapse (Pipelines)
- Azure SQL pools
- Python
- SQL
- Performance tuning
What You'll Do
- Develop and maintain data pipelines in the Azure environment;
- Work with Azure SQL Pools for data storage and processing;
- Write and optimize SQL queries;
- Perform performance tuning for queries and data workflows;
- Collaborate with a team of engineers on Databricks-based solutions;
- Build and orchestrate data workflows using Synapse Pipelines / Azure Data Factory;
- Ensure reliability and consistency of data pipelines;
Job Requirements
- 3+ years of experience as a Data Engineer;
- Solid proficiency in SQL;
- Experience working in Azure cloud environment;
- Experience with Azure SQL Pools;
- Strong understanding of performance tuning for data workloads;
- Experience working in Azure cloud environment;
- Excellent communication skills;
- English level: B2 (Upper-Intermediate) or higher;
Nice To Have
- Experience with Azure data integration tools (Synapse Pipelines, Azure Data Factory);
- Experience with Python;
- Experience with Databricks ecosystem (architecture, Unity Catalog, Delta tables, notebooks, lineage, permissions);
- Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC);
- Familiarity with Databricks Asset Bundles;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Customer Support Specialist (Hospitality)
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Company Background
The customer is a technology leader in restaurant, foodservice, and hospitality solutions. Their focus is on developing tools that enhance business efficiency and decision-making. The team works in a dynamic environment that fosters innovation, collaboration, and continuous learning.
Project Description
As a Customer Support Specialist, you will be a key part of making sure that we can keep delivering high-quality support to the customers. You will be able to explore new technology and develop processes to help other team members, grow within our company and make a huge impact from day one. Working hours aligned with Central European Time, with availability until 9 PM CET.
Technologies
- SQL
- Python
- JSON
- REST APIs
- POS systems (Toast, Aloha, Brink, Simphony)
- XML
What You'll Do
- Help customers solve problems in the platform and keep them updated on ticket progress;
- Use internal tools to troubleshoot customer reported tickets;
- Translate technical details from our development teams into non-technical language that the customers can understand;
- Analyze data discrepancies between multiple tools to confirm accuracy based on customer inquiries and reassure the customer that data displayed is accurate;
- Build and optimize dynamic SQL scripts to maintain data integrity and support enterprise reporting;
- Accept requests for Technical Resource assistance from the Customer Support Analysts on your team;
- Work side-by-side with the development teams of our Connex, CIS, API and Insights product teams to research and resolve customer reported issues;
- Sympathize with the customer’s situation and take pride in finding them a resolution on tickets submitted;
Job Requirements
- 3-5 years of remote application support experience;
- 2-4 years of customer-facing experience in any industry, but hospitality industry is preferable;
- Knowledge of Python (intermediate), SQL (advanced), JSON (intermediate), and XML (basic);
- An understanding of Rest APIs, including the ability to troubleshoot;
- Prior experience with POS systems i.e. Toast, Aloha, Brink and/or Simphony to the extent that you can determine if tickets logged are an issue with the POS configuration or our Connex POS integration software;
- Able to work in fast paced environment with multiple competing priorities;
- Ability to prioritize tasks independently based on understanding business impact for the customer;
- Bachelors Degree in Computer Science, Information Technology or similar;
- Excellent interpersonal and communication skills (written and verbal);
- Knowledge of English from Upper-Intermediate;
- Ability to work up to 9 PM CET timezone;
Nice to Have
- Experience working with a distributed/remote team across multiple time zones;
- Ability to successfully complete tasks within Coalesce or any similar data transformation solution for Snowflake;
- Completion of Snowflake Learning Path(s): Data Engineer SQL and/or Data Analyst;
- Experience with Jira, Confluence, and Zendesk;
- Familiarity with AWS and Airtable;
- Prior experience working with CIS systems like Netsuite, Workday, or Quickbooks;
- Able to troubleshoot networking and communication protocols;
- Experience supporting restaurant, convenience store, or grocery industry verticals;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Internal startup incubator;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
DataBricks Developer (Digital Engineering)
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Company Background
Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.
Project Description
The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.
Technologies
- Databricks (architecture, Unity Catalog, Delta Tables, data lineage, permissions, Databricks Genie, notebooks)
- SQL
- Python
- Azure
What You'll Do
- Develop and maintain data pipelines within the Azure-based data platform;
- Work with the Databricks ecosystem (Delta Tables, Unity Catalog, notebooks) to process and manage data;
- Write, optimize, and maintain data transformations using Python and SQL;
- Support and enhance existing production data systems;
- Collaborate with a team of engineers on Databricks-based solutions;
- Ensure data quality, consistency, and reliability across data pipelines;
Job Requirements
- 3+ years of experience as a Data Engineer
- Strong experience with Databricks ecosystem (architecture, Unity Catalog, Delta tables, lineage, permissions)
- Solid knowledge of SQL
- Strong experience with Python
- Experience working in Azure cloud environment
- Good understanding of data pipelines and data platform architecture
- Strong analytical and problem-solving skills
- Excellent communication skills
- English level: B2 (Upper-Intermediate) or higher
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
QA Automation Engineer (Travel and Transportation sphere)
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Company Background
Our client is an international team of industry and domain experts focused on transforming the travel and transportation industry through advanced technologies. The company helps industry leaders achieve commercial success by leveraging modern, data-driven and scalable software solutions.
Project Description
The goal is to join a self-organizing QA team and lead testing initiatives across a microservices-based platform. The project involves close collaboration with Product Owners, Architects, and Engineering teams to ensure high-quality software delivery. You will drive testing strategies, automation, and best practices across the full development lifecycle, with a strong focus on API and end-to-end testing.
Technologies
- Python, SQL
- Postman, Datadog
- Robot Framework, Playwright
- REST, Pub/Sub, Kafka
- Kubernetes, GCP
What You'll Do
- Design and implement test strategies and test plans
- Develop and maintain automated test scripts (API, E2E, contract, performance)
- Perform manual testing for complex scenarios
- Implement test automation for microservices architecture
- Integrate automated tests into CI/CD pipelines
- Identify, track, and manage defects
- Maintain test documentation (test cases, plans, reports)
- Collaborate with cross-functional teams to ensure product quality
- Mentor QA engineers and promote best practices
- Monitor quality metrics and continuously improve testing processes
Job Requirements
- 5+ years of experience in QA / Test Automation
- Strong experience with API testing and microservices-based systems
- Hands-on experience with Python
- Deep understanding of manual and automated testing methodologies
- Experience with various testing types (E2E, API, contract, performance, UI)
- Strong knowledge of SQL
- Understanding of cloud platforms (GCP or similar)
- Experience integrating testing into CI/CD pipelines
- Strong analytical and problem-solving skills
- Experience working in Agile environments
- Ability to create and maintain test documentation and strategies
- Strong communication and collaboration skills
- English level: B2 (Upper-Intermediate) or higher
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
QA Automation Engineer (Consulting services)
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Company Background
Our client is a people-first financial services company that leverages technology to help consumers overcome debt and build a stronger financial future. With over 2,000 employees across the U.S., the company is expanding through a new division focused on home mortgage solutions.
Project Description
The Software Development Engineer in Test will design, test, and deploy effective test automation solutions to monitor, validate, and orchestration software throughout all stages of the SDLC.
Technologies
- Java + Unirest
- JavaScript + WebDriverIO
- Selenide, Cucumber
- Maven, CircleCI, Google Cloud Platform, Cloud Firestore, Docker, Kubernetes, Datadog, LaunchDarkly
What You'll Do
- Design, develop, and maintain automated tests for UI and API layers;
- Execute, analyze, and maintain automation test runs;
- Build automation coverage across functional, integration, regression, and performance testing;
- Improve and maintain automation frameworks and best practices;
- Work independently on assigned streams or standalone automation tasks;
- Collaborate with Agile teams and follow QA standards;
Job Requirements
- 3+ years experience in QA Automation;
- 5+ years overall IT experience (preferable);
- Strong understanding/experience in QA in general (including manual QA artifacts);
- Strong background in at least one programming language (JavaScript is preferred);
- Readiness to work with JavaScript right away is required;
- Readiness to work with Java is required;
- Experience working on both UI (WebdriverIO or Selenium)/API (Unirest or RestAssured) automation;
- CI/CD understanding;
- English level: B2 (Upper-Intermediate) or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Kafka DevOps Engineer
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Why Verifone
For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.
Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.
Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.
Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.
What’s Exciting About the Role
Verifone is seeking a Kafka DevOps Engineer to join our Platform Engineering team. This is an operations-first role with a strong emphasis on scripting, automation, and pipeline development. You’ll be hands-on with day-to-day Kafka operations, reliability, tuning, and high availability for payment gateway solutions that process billions of transactions annually on-prem and in AWS Cloud. Beyond keeping the lights on, you’ll play a key role in building the data pipelines—of which Kafka is a core component—that power Verifone’s new AI, machine learning, and analytics initiatives. You’ll also be part of an active effort to migrate Kafka and related services to Kubernetes, giving you hands-on experience with a meaningful infrastructure modernization project. The technology footprint is broad: Redis, MongoDB, PostgreSQL, MySQL, Snowflake, and more—so you’ll grow well beyond a single-technology niche.
Key Responsibilities
Kafka Operations & Reliability
- Manage and support Apache Kafka clusters (including MSK), Kafka Connect ecosystem, and KSQL for high-throughput, fault-tolerant messaging and event streaming pipelines.
- Monitor system health, set up alerts, and drive incident response and root cause analysis (RCA).
- Handle day-to-day operational tasks including offset management, lag monitoring, consumer group management, and cluster rebalancing.
- Perform routine cluster maintenance: upgrades, configuration changes, scaling, and health checks.
Scripting, Automation & DevOps
- Develop and manage automation scripts using Python and Shell scripting to reduce manual toil and improve operational efficiency.
- Design, implement, and maintain robust CI/CD pipelines for patching automation.
- Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or similar.
- Containerize and orchestrate workloads using Docker and Kubernetes, with the opportunity to help migrate Kafka and related services to Kubernetes.
Data Pipeline Development
- Build and optimize end-to-end data pipelines, with Kafka as a core streaming component alongside batch and ETL processes, enabling new AI, ML, and analytics use cases.
- Collaborate with development teams to implement best practices for data flow, security, scalability, and performance.
- Continuously identify and implement improvements to the software development lifecycle (SDLC).
Cloud & Infrastructure
- Manage cloud infrastructure on AWS (VMs, networking, storage, IAM, etc.).
- Support cloud migration tasks and assist in moving workloads between on-prem and cloud environments.
Required Qualifications / Skills
- 4+ years of overall engineering experience with 2+ years of hands-on experience supporting Kafka infrastructure in a large-scale production environment.
- Kafka Producer/Consumer microservices concepts and Kafka distributed architecture.
- Solid Linux fundamentals: networking basics, logs, system troubleshooting, process/memory, disk.
- Strong scripting and automation skills (Python, Bash) with a track record of reducing operational toil.
- CI/CD pipeline development and Infrastructure-as-Code experience (Terraform preferred).
- Cloud engineering skills, preferably AWS (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch).
- Familiarity with observability tools (metrics/logs/tracing concepts) and incident response practices.
- Basic understanding of distributed systems tradeoffs (availability, consistency, partitions, backpressure).
- Strong communication and presentation skills with emphasis on executive communication.
- Flexible with regards to working shifts; on-call and weekends.
Preferred Skills (Highly Desired)
Data Engineering & Pipelines
- Data engineering skills including data analytics, data processing, ETL, and data lake technologies (batch and streaming, file formats like Parquet, table formats like Iceberg/Delta/Hudi, basic orchestration).
- Experience with AWS data tools (Athena, Glue, Iceberg, Redshift, etc.).
- Exposure to Kafka Streams, Apache Flink, or similar stream processing frameworks.
Database & Caching Technologies
- Operate Redis deployments for caching, ephemeral state, queues/streams, and rate limiting use cases.
- Relational DB experience: PostgreSQL and/or MySQL (indexing basics, vacuum/analyze, query plans, replication fundamentals).
- MongoDB operational familiarity (replica sets, elections, oplog basics, backup/restore).
Infrastructure & Security
- Container/Kubernetes familiarity (deployments, stateful workloads, storage classes).
- On-prem experience (VMware/KVM, storage, networking).
- Security fundamentals: least privilege, secrets management, encryption-in-transit/at-rest concepts.
- Experience working with PCI (Payment Card Industry Data Security) standards.
What We Offer
- Direct impact on Verifone’s global payment infrastructure—your work keeps billions of transactions flowing reliably every year.
- Ground-floor involvement in building the data pipelines that will drive Verifone’s AI, machine learning, and analytics strategy.
- Hands-on participation in a Kafka-to-Kubernetes migration—a resume-building modernization project from day one.
- Multi-technology exposure—Kafka, Redis, MongoDB, PostgreSQL, MySQL, Snowflake—so you grow as a well-rounded platform engineer, not a single-tool specialist.
- Mentorship from senior engineers and Kafka architects with deep production experience.
- Clear career progression path from mid-level to senior and lead engineer.
- Funded certification paths—Confluent (CCDAK, Certified Administrator), AWS (Solutions Architect, MSK Specialty), CKA—plus budget for courses and technical conferences.
- Hybrid/remote working flexibility with a collaborative team culture.
- Competitive compensation with performance-based incentives.
Our Commitment
Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Ready to apply?
Apply to Verifone
DevOps Engineer / SRE
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Highlights:
Location: Remote (CET hours preferred)
Compensation: €5,100 - €6,400 Gross + stock options
Language: Russian-speaking team
About Fundraise Up
We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.
Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.
A Truly Global Product
We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.
We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.
Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search.
The Team
We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.
Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.
About the Role
You will join a small team responsible for the stability, performance, and security of our server infrastructure: bare metal, VMs, databases, queues, networking, and infrastructure security. Our philosophy is simple: the team owns its systems end-to-end, and every engineer should be able to diagnose and fix issues in their area of responsibility.
This role is for someone who enjoys working with real infrastructure (OS, hardware/virtualization, networks), not just cloud abstractions.
What You'll Do
- Work primarily with on‑premise infrastructure (bare metal and VMs): setup, maintenance, troubleshooting
- Drive clarity in ambiguous situations by defining requirements, assumptions, and next steps
- Own automation projects end‑to‑end (design → rollout → maintenance)
- Improve how we operate: harden and tune systems and also improve the way the team works in terms of operational hygiene
- Keep the platform stable, fast, and secure: servers, web servers, databases, queues
- Investigate production incidents across OS / networking / infrastructure layers, apply temporary mitigations, coordinate with developers and participate in post‑mortems
- Participate in on‑call rotations
- Use AI in all aspects of day‑to‑day work: researching, troubleshooting, developing
Requirements
- 4+ years as a DevOps Engineer / SRE (or very close responsibilities)
- Real, hands-on experience with servers (VMs, bare metal) at the OS level and below: configuring, troubleshooting, digging into “why it’s broken”
- Confident Linux skills (we use Ubuntu). We expect you to be comfortable with the core tools from Linux Crisis Tools
- Solid understanding of networking basics; ability to configure and troubleshoot iptables
- Ansible + Git
- Experience with Bash or Python scripting for automation/observability
- Production/on‑call experience: diagnosing incidents, restoring service, participating in post‑mortems
- Ownership and attention to detail. Downtime is expensive: five years ago, 10 minutes of downtime cost us $100k — today it’s even more
Nice to Have
We understand it’s impossible to be an expert in everything, but it’s important to have solid hands-on experience in two or more of the areas below:
- ClickHouse, MongoDB: what each database is used for, monitoring, troubleshooting performance and slow queries, sharding
- Kafka: operating clusters at scale (topic moves, broker replacements, tuning)
- Redis: high‑load tuning, replication, sharding, performance monitoring
- Elasticsearch: configuration, scaling, sharding/cluster management
- HAProxy / Nginx: load balancing, SSL/TLS, caching, reverse proxying, performance monitoring
- OS tuning: kernel/network stack/filesystem parameters for high‑load systems
- Full Disk Encryption on LVM: We use Clevis + Tang in production
- Infrastructure Security: Teleport, HashiCorp Vault
Bonus points
Great if you’ve worked with any of the following:
- VictoriaMetrics and how it differs from the Prometheus stack
- Complex CI/CD pipelines. We use scripted Jenkins pipelines
- Bare‑metal Kubernetes: provisioning, networking (MetalLB or alternatives), isolation from the internet, scaling across providers (like OVH, Hetzner) and integration with existing infrastructure
- Flux and GitOps
- Terraform
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working.
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Senior Data Engineer
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Highlights
Location: Remote (CET hours preferred)
Compensation: €5,400 - €6,400 gross + stock options
Language: Russian-speaking team, English B1+ required
About Fundraise Up
We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.
Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.
A Truly Global Product
We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.
We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.
Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search.
The Team
We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.
Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.
About the Role
As a Senior Data Engineer, you will be responsible for designing, building, and optimizing scalable data pipelines and ETL/ELT processes.
At the initial stage, you will be the first engineer in this direction, taking full ownership of the data domain. As the product and data needs grow, we plan to expand the team, and you will have the opportunity to contribute to its development.
This role requires a high level of autonomy and ownership, combined with close collaboration with analytics, Data Science, and engineering teams.
What You’ll Do
- Design and evolve the architecture of the data platform and storage systems.
- Build reliable ETL/ELT processes and develop scalable data pipelines for delivering data into a centralized analytical warehouse.
- Maintain and further develop the Data Warehouse.
- Collaborate with engineering and analytics teams on system design and architectural decisions.
- Ensure data governance and maintain high standards of data quality.
- Write and optimize queries for MongoDB and ClickHouse.
- Manage and maintain workflows in Airflow.
Requirements
- Experience: 7+ years of experience as a Data Engineer.
- Programming: 5+ years of experience with Python, TypeScript, Node.js, Kafka.
- Strong understanding of data processing algorithms and principles.
- Hands-on experience with ClickHouse, Airflow, Amazon S3, Git, Docker.
- Solid understanding of Data Lake and Data Warehouse architectures.
- Experience working with large-scale data and query optimization.
- Ability to work collaboratively toward shared goals.
- Strong sense of ownership, responsibility, and proactivity.
- English level: B1+.
Nice to Have
- Experience with Apache Parquet, MLflow, MongoDB.
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Senior ML-Engineer
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Highlights:
Role: Senior ML-Engineer
Location: Poland, Remote
Language: Russian-speaking team; Strong English required (B2)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We're looking for an ML Engineer with 5+ years of production experience to strengthen our ML team. We operate as an internal service and centre of excellence for 10+ product teams at Fundraise Up. This means you won't be tied to a single feature: one day you might be optimising donation amounts and upsell offers, and the next you could be building a smart assistant for the admin panel or working on transaction classification.
We actively use not only classical ML, but also RL, and we're expanding our LLM-based solutions — prompt engineering and pipeline design with LLM APIs (OpenAI and equivalents). That's why we're looking for someone with a broad mindset who isn't afraid to experiment and can choose the most effective approach for each task.
The project's main audience and business team are based in the US. Although the product development team is Russian-speaking, you may occasionally need to write in English.
What You’ll Do
- Develop and deploy ML solutions across different business areas using tabular data (uplift models, recommender systems). We are also actively developing projects that will involve e-commerce mechanics.
- Select the most appropriate ML/LLM approaches or propose alternative solutions.
- Build end-to-end ML solutions: data preparation, training, API development, and monitoring.
- Design prompts and LLM API-based pipelines for specific product tasks: classification, content generation, and response quality evaluation.
Requirements
- 5+ years of ML/DS experience solving real product problems
- Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting); NLP knowledge is a plus
- Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (CR, LTV)
- Strong engineering culture: confident in Python with a product-oriented approach to development; we value clean code, knowledge of design patterns, and solid engineering practices
- Data skills: advanced SQL; ability to independently and efficiently build complex datasets in ClickHouse and work with MongoDB
- MLOps understanding: hands-on experience with experiment tracking tools and understanding of production workflows (Docker, Git, CI/CD)
- Autonomy: ability to break down problems, choose the right tech stack (or justify a non-ML solution), and deliver to production
Our Tech Stack
Core: Python (uv, ruff), FastAPI, Pydantic, Docker
Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)
Data: ClickHouse, MongoDB, pandas, Polars, Redis
MLOps: MLflow, Airflow
Monitoring: Grafana, Sentry
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Senior ML-Engineer, Finance
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Highlights:
Role: Senior ML-Engineer, Finance
Location: Poland, Remote
Language: Strong English required (C1)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We're looking for an ML Engineer with 5+ years of production experience to own a high-impact client intelligence initiative. Following a successful proof-of-concept with an external consultant, we are bringing this project fully in-house. The ultimate goal is to generate a comprehensive, enriched list of all potential clients globally — understanding their product requirements, industry verticals, and overall revenue potential — and deploy a scoring model that feeds directly into our sales pipeline.
This is an end-to-end ownership role. You will build from the ground up: data collection, enrichment, modeling, and production deployment. The project is co-managed by company executives and has a high strategic value.
What You’ll Do
- Build a market intelligence data-base via collecting different types of data (scraping, enrichment), fixing data pipeline and creating an ML model for scoring and analysis of the raw data.
- Design and operate scrapers to extract key signals from nonprofit websites, including products used, payment tools, and industry vertical indicators.
- Develop critical filters such as an "Is this website for fundraising?" binary classifier, alongside other features that distinguish high-potential prospects.
- Source and integrate financial data from international nonprofit registries, as well as third-party signals from SimilarWeb and Facebook.
- Store and structure the enriched dataset in our internal database, making it accessible and useful across the broader team for research and analysis.
- Work closely with the sales team to understand their qualification criteria. Analyze disqualified accounts in Salesforce to identify common exclusion patterns and refine scoring accordingly.
- Deploy the scoring model and own the process of integrating outputs into Salesforce in a clean, maintainable way.
- Build a scraper to monitor existing clients' websites, tracking whether Fundraise Up tools are correctly implemented across their properties.
Challenges You'll Navigate
- At the scale of ~1 million domains, expect domain duplicates, inconsistent data, and significant noise. You'll need to develop robust, cost-efficient filtering pipelines.
- A single model won't cover everything — you'll likely build several targeted sub-models tailored to specific verticals and geographies as the project matures.
- All of this needs to be accomplished without incurring high infrastructure or data costs. Pragmatic, scrappy solutions are valued here.
Requirements
- 5+ years of ML/DS experience solving real product problems
- Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting) and understanding of modern NLP/LLM approaches
- Proven experience with large-scale web scraping and data pipeline construction
- Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (conversion rate, LTV)
- Strong engineering culture: confident in Python with a product-oriented approach; we value clean code, knowledge of design patterns, and solid engineering practices
- Advanced SQL; ability to independently build complex datasets in ClickHouse and work with MongoDB
- MLOps understanding: hands-on experience with experiment tracking and production workflows (Docker, Git, CI/CD)
- Autonomy: ability to break down ambiguous problems, choose the right tech stack, and deliver to production
Our Tech Stack
Core: Python (uv, ruff), FastAPI, Pydantic, Docker
Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)
Data: ClickHouse, MongoDB, pandas, Polars, Redis
MLOps: MLflow, Airflow
Monitoring: Grafana, Sentry
Infra: linux server admin, distributed computation
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Senior QA Engineer (Automation / Fullstack)
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Highlights:
Location: Remote (CET hours preferred)
Compensation: €4,400 - €5,500 Gross + stock options
Language: Russian-speaking team
About Fundraise Up
We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.
Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.
A Truly Global Product
We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.
We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.
Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search.
The Team
We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.
Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.
About the Role
As a Senior QA Engineer (Quality Enablement), you will work in a cross-team role focused on improving product quality through processes, practices, and engineering influence across the entire organization.
QAE does not write product tests for teams on a regular basis. Instead, the role focuses on:
- Helping teams build effective testing strategies
- Reviewing test scenarios, automated tests, and technical decisions
- Analyzing quality metrics and driving improvements
- Educating teams on testing and automation best practices
- Preventing production incidents and reducing technical debt
- Contributing to test frameworks (helpers, utilities)
What You'll Do
- Help product teams define and improve testing strategies (unit / integration / E2E)
- Review test scenarios, automated tests, and quality-related technical decisions
- Analyze defects, flaky tests, and testing results
- Drive improvements based on quality metrics and recurring issues
- Support teams in building reliable and scalable test automation
- Contribute to test frameworks and shared tooling (helpers, utilities)
- Collaborate with engineers, product teams, and QA engineers
- Educate and mentor teams on testing practices and automation approaches
- Ensure test automation does not negatively impact CI performance
Requirements
- 7+ years of experience in testing web client-server applications
- 3+ years of experience in test automation
- Hands-on experience writing automated tests (E2E / integration)
- Experience with JavaScript / TypeScript
- Understanding of frontend architecture (React)
- Understanding of backend architecture (Node.js / NestJS)
- Experience developing or maintaining test frameworks
- Strong understanding of testing levels (unit / integration / E2E)
- Experience writing test scenarios or defining test strategy
- Experience reviewing automated tests (code review)
- Experience with CI/CD (Jenkins or similar)
- Docker (images, networks, volumes, docker-compose)
- Ability to influence quality through processes, not only code
- Strong communication skills
- Ownership mindset and willingness to take responsibility for quality decisions
Nice to Have
- Experience introducing testing or automation processes in teams
- Experience working with quality metrics (flaky rate, coverage, CI performance)
- Experience analyzing defects and improving processes
- Experience conducting trainings, workshops, or mentoring
- Experience working across multiple product teams
- Experience building or evolving E2E frameworks
- Experience reducing flaky tests and optimizing CI
- Experience in platform or enablement teams
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working.
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
As a Senior Solutions Engineer for the Auth0 platform, you are a strategic, customer-centric technical expert who combines a software engineering background with a passion for identity and security. You possess that rare combination of technical savviness and business insight and are looking for a career where you can utilize both to drive revenue directly and through a thriving partner ecosystem.
You will be a trusted advisor to both customers and a portfolio of strategic partners. You will partner with our sales and alliances teams to demonstrate, design, and validate identity solutions that solve complex challenges and contribute directly to our growth. You will empathize with customers, quickly discern their true needs, and architect solutions that deliver exceptional outcomes.
This position is based in Warsaw, Poland. The role is remote, with the expectation of a transition to a hybrid office model in the future (2-3 days per week).
What You’ll Be Doing
- Act as the primary technical and identity domain expert during the sales cycle for both direct customers and partners.
- Deliver compelling product demonstrations, architecture walkthroughs, and whiteboard sessions to a wide range of audiences, from developers to C-level executives.
- Lead and support technical validation activities such as Proofs of Concept (PoCs).
- Collaborate with Account Executives on territory and account strategies to win new business.
- Build and manage deep technical relationships with assigned Partners, teaming with the Okta Partner Account Team to drive incremental revenue through the channel.
- Become a trusted advisor to your partners on all matters related to Identity and Access Management, helping them integrate Okta into their Go-To-Market (GTM) strategy.
What You’ll Bring to the Role
- 5+ years of customer-facing technical role (e.g., pre-sales engineering, consulting, professional services).
- A strong passion for serving the customer and our partners, ensuring their success.
- Understanding of Identity and Access Management (IAM) concepts and security protocols, including OAuth 2.0, OIDC or SAML.
- Knowledge of modern approaches to software development/hosting: familiarity with cloud platforms (AWS, Azure, GCP).
- Communication and presentation skills, with the ability to articulate complex technical ideas and business value to a highly skilled audience.
- Fluency in Polish and English is required.
Nice to Have
- A Bachelor's degree in Engineering, Computer Science, MIS, or a comparable field.
- Hands-on experience with code: understand, troubleshoot, and preferably write in one or more of the following development areas: web (JavaScript, HTML, frontend frameworks), mobile (iOS, Android), or backend (Java, C#, Node.js, Python, PHP, Ruby).
- Demonstrated ability to architect and integrate CIAM solutions across web, mobile, and cloud platforms.
- Expertise in AI-driven customer experience integration with Auth0, including AI agents for internal or external use-cases, MCP servers, and Fine-Grained Authorization
- Public speaking, technical blogging, or conference presentation experience.
- Other European languages beneficial.
#LI-Hybrid
#LI-LW1
P25167_3433272
Below is the annual On Target Compensation (OTE) range for candidates located in Poland. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and comprehensive healthcare coverage and financial benefits including paid time off and parental leave in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/pol.
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Observability, Infrastructure Engineer
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Salary Range: PLN 350,700 - 474,400 + Benefits + Equity
Subject to alignment to the responsibilities and duties of the role.
About Graphcore
At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.
Job Summary
You will contribute to the architecture, implementation and deployment of highly scalable management and observability solutions for AI infrastructure built using our next-generation products. Covering monitoring, observability, control, and data center infrastructure management, you will work with software, cloud and customer-facing teams, to establish first-hand knowledge of these solutions, creating proof-of-concepts, reference designs and integrations with third-party tooling.
Your team will work with product, architecture and other delivery teams to ensure that functionally complete, simple to deploy, and easy to use solutions are deployed internally to support engineering efforts and supply reference designs to our customers.
Responsibilities and Duties
- Contribute to all phases of overall product development, from product definition, architecture, and design, through implementation, debugging, testing and early customer support.
- Contribute to the design and implementation of fault-remediation solutions at scale.
- Implement multi-component integrations based on Graphcore and third-party technology stacks, from data ingestion to decision making, ensuring seamless management, monitoring and UI.
- Create reference designs including documentation, configuration files, scripts, source code, etc.
- Deploy solution(s) internally for use by our engineering teams to aid debugging, performance analysis, benchmarking, test/QA, etc. at all scales.
- Maintain and improve deployed infrastructure long term to provide the best service for our customers.
- Ensure solutions are properly tested by working with the development and QA teams to enhance unit testing and ensure a comprehensive test plan is in place.
- Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.
Skills and Experience
- BSc or MSc degree in Computer Engineering, Computer Science, or related degree or equivalent experience.
- Demonstrated success in architecting and implementing scalable, performant, reliable cluster management systems including telemetry collection & analysis engines.
- Experience in managing big scale datacenters focusing on hardware observability solutions.
- Experience in maintaining and scaling modern observability stacks using Prometheus, Grafana, OTEL, ClickHouse, Kafka, Superset or Elastic Stack
- Understanding of secure telemetry practices and data exposure controls.
- Working knowledge of Datadog, Dynatrace or Splunk.
- Experience in large-scale telemetry datasets, time series databases, down-sampling techniques, and creating actionable dashboards.
- Experience automation technologies, such as Ansible or Terraform.
- Experience in containerisation (Docker, Kubernetes)
- Experience in managing or developing in Linux environments.
- Strong and demonstrable skill in at least one of C/C++/Go and Python.
- Excellent written and verbal communication skills.
Desirable:
- Knowledge of cloud-native development and deployment methodologies (SaaS/PaaS/IaaS).
- Knowledge of data center networking and monitoring best practices.
- Knowledge of monitoring, observability and management solutions in use by hyperscalers.
- Knowledge of declarative management systems.
Benefits
In addition to a competitive salary, annual leave policy, medical and dental health plans, a gym card and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Sponsorship
Applicants for this position must hold the right to work in the Poland. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
Ready to apply?
Apply to Graphcore
Data Engineer (Agribusiness Software Solutions)
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Company Background
Our client is a company that delivers integrated software and tools for the agricultural business. As part of a leading global software group, the company supports the diversified grain industry and agricultural co-ops with best-in-class solutions covering business management, commodity management, agronomy, trading, patronage, and analytics.
Project Description
Own the end‑to‑end data flow for Data Analytics Platform (DAP). You will ingest XML data from AGRIS Web Services into Azure Blob Storage, orchestrate event‑driven transformation pipelines via Azure Functions and Databricks Jobs, model data using dbt on Databricks (medallion architecture: bronze → silver → gold), and deliver analytics‑ready datasets to Azure SQL Database and Luzmo. You'll also maintain multi‑tenant data isolation, automate deployments, and keep the platform performant and cost‑efficient.
Technologies
- Microsoft Azure
- Azure Blob Storage / ADLS Gen2
- Databricks (Delta Lake, PySpark, SQL Warehouses)
- dbt (dbt-databricks + dbt-sqlserver)
- Azure Functions (Python)
- Azure Event Grid
- Azure SQL Database
- Azure Key Vault
- Luzmo
What You'll Do
- Maintain and support Azure Functions pipelines (Event Grid → Databricks Jobs);
- Build and optimize Databricks notebooks for XML parsing and Parquet landing in DBFS/ADLS;
- Manage Auto Loader and incremental data ingestion processes;
- Design and maintain dbt models across medallion layers (bronze COPY INTO, silver current‑changes, gold incremental merge, staging/CDC to Azure SQL);
- Write custom macros and ensure data quality with dbt tests;
- Optimize schemas, indexes, and CDC merge pipelines in Azure SQL Database;
- Manage analytical views, RBAC roles, and Luzmo integration for BI consumers;
- Maintain tenant‑scoped DBFS mounts and data isolation;
- Configure backup, storage tiering, and define RPO/RTO targets, monitor pipeline health;
- Automate deployments using CI/CD tools (e.g., GitHub Actions);
- Implement monitoring, alerting, and optimize infrastructure and compute costs in Azure and Databricks;
Job Requirements
- 5+ years designing and building data solutions on Microsoft Azure;
- 2+ years with Databricks (Delta Lake, PySpark, SQL Warehouses);
- Strong experience with dbt (data build tool): incremental models, custom macros, multi‑adapter setups (Databricks + SQL Server);
- Expert‑level SQL skills: Databricks SQL for Delta Lake transformations and T‑SQL for Azure SQL Database performance tuning;
- Hands‑on experience with Azure Functions (Python) and event‑driven architectures (Azure Event Grid, Blob Storage triggers);
- Familiarity with medallion architecture patterns (bronze/silver/gold) and CDC (Change Data Feed) pipelines;
- Working knowledge of XML data parsing/ingestion at scale (PySpark XML processing);
- Strong understanding of Azure security fundamentals (Key Vault, RBAC, managed identities);
- Experience with multi‑tenant data platform design and tenant‑scoped data isolation;
- English level: B1+ (Intermediate) or higher;
Nice to Have
- Microsoft Certified: Azure Data Engineer Associate (DP‑203) or Databricks Data Engineer Associate;
- Experience with IaC (Bicep or Terraform) and CI/CD (GitHub Actions);
- Familiarity with BI platforms, particularly Luzmo, for provisioning datasets and self‑service reporting;
- Knowledge of Python for Databricks notebooks, Azure Functions, and utility scripts;
- Experience with cost‑governance / FinOps in Azure and Databricks;
- Exposure to SQLFluff or similar SQL linting/quality tools;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Senior ML Engineer - Kimchi (LLM Inference Optimization)
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Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
About the role
Throughput. Latency. KV cache utilization.
Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.
The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.
Stack
Python; vLLM; SGLang; TensorRT-LLM; PyTorch; CUDA-adjacent tooling; Kubernetes; gRP; ClickHouse; PostgreSQL; GCP Pub/Sub; AWS / GCP / Azure; GitLab CI; ArgoCD; Prometheus; Grafana; Loki; Tempo.
Requirements:
- 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
- Strong Python - production services, not scripts.
- Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
- Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
- Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
- A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
- Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.
Responsibilities:
- Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
- Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
- Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
- Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
- Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
- Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
- Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.
What’s in it for you?
- Competitive salary (depending on the level of experience).
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Annual hackathon to spark new ideas and strengthen team bonds.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
Hiring process
- Screening call with Recruiter
- Hiring Manager interview
- Technical interview (system design)
- Live coding
- Culture Check interview with an executive
As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Ready to apply?
Apply to Cast AI
CAPCO POLAND
Capco Poland is a global technology and management consultancy specializing in driving digital transformation across the financial services industry. We are passionate about helping our clients succeed in an ever-changing industry.
We are also:
- Experts in banking and payments, capital markets and wealth and asset management
- Committed to growing our business and hiring the best talent to help us get there
- Focused on maintaining our nimble, agile and entrepreneurial culture
About the role:
We are looking for a Senior Data Solution Engineer to join our data engineering team and help turn complex data into actionable, business-ready insights.
In this role, you will design and deliver scalable data solutions, including domain data marts, semantic models, and Power BI dashboards. You will act as the bridge between business stakeholders and engineering teams, ensuring that data platforms are robust, performant, and aligned with business needs.
You will also contribute to building and evolving a modern data platform, including migrating existing analytics solutions to the cloud and continuously improving the ecosystem.
Key Responsibilities:
- Architect and deliver business data marts in Snowflake, leading the development of production-grade dbt models
- Establish and maintain standards for data modeling, documentation, and testing
- Collaborate with the Data Architect to evolve and enhance the Data Vault 2.0 architecture
- Lead the design and implementation of the semantic layer in Power BI, including development of reports and dashboards
- Optimize performance and cost efficiency across data models, queries, and BI solutions
- Collaborate with cross-functional teams (data engineers, business analysts, delivery leads, and stakeholders) to design and deliver data solutions
- Embed SLAs, operational processes, and monitoring capabilities into solutions
- Participate in incident management, root cause analysis, and continuous improvement activities
- Mentor and coach team members, fostering knowledge sharing and best practices
- Drive and enhance CI/CD pipelines (Azure DevOps), including automated testing, deployments, and rollback strategies
- Implement and enforce data security and governance frameworks, including Snowflake roles/policies and Power BI Row-Level Security (RLS)
Required Skills & Experience:
- Proven experience in data solution engineering or analytics engineering within enterprise environments
- Strong hands-on expertise in:
- Solid experience implementing Data Vault 2.0, data marts, and semantic models
- Experience in financial services or similar regulated industries
- Good understanding of CI/CD practices, ideally using Azure DevOps
- Familiarity with Azure Data Factory and/or Python is a plus
- Experience with cloud migration, particularly from on-premise data warehouses
- Comfortable working in Agile/Scrum environments
- Fluent in English; German is an advantage
ONLINE RECRUITMENT PROCESS STEPS
- Screening call with the Recruiter
- Competencies interview with Capco Hiring Manager
- Client’s interview
- Feedback / Offer
We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects.
Ready to apply?
Apply to CapcoSecure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
As a Senior Solutions Engineer for the Auth0 platform, you are a strategic, customer-centric technical expert who combines a software engineering background with a passion for identity and security. You possess that rare combination of technical savviness and business insight and are looking for a career where you can utilize both to drive revenue directly and through a thriving partner ecosystem.
You will be a trusted advisor to both customers and a portfolio of strategic partners. You will partner with our sales and alliances teams to demonstrate, design, and validate identity solutions that solve complex challenges and contribute directly to our growth. You will empathize with customers, quickly discern their true needs, and architect solutions that deliver exceptional outcomes.
This position is based in Warsaw, Poland. The role is remote, with the expectation of a transition to a hybrid office model in the future (2-3 days per week).
What You’ll Be Doing
- Act as the primary technical and identity domain expert during the sales cycle for both direct customers and partners.
- Deliver compelling product demonstrations, architecture walkthroughs, and whiteboard sessions to a wide range of audiences, from developers to C-level executives.
- Lead and support technical validation activities such as Proofs of Concept (PoCs).
- Collaborate with Account Executives on territory and account strategies to win new business.
- Build and manage deep technical relationships with assigned Partners, teaming with the Okta Partner Account Team to drive incremental revenue through the channel.
- Become a trusted advisor to your partners on all matters related to Identity and Access Management, helping them integrate Okta into their Go-To-Market (GTM) strategy.
What You’ll Bring to the Role
- 5+ years of customer-facing technical role (e.g., pre-sales engineering, consulting, professional services).
- A strong passion for serving the customer and our partners, ensuring their success.
- Understanding of Identity and Access Management (IAM) concepts and security protocols, including OAuth 2.0, OIDC or SAML.
- Knowledge of modern approaches to software development/hosting: familiarity with cloud platforms (AWS, Azure, GCP).
- Communication and presentation skills, with the ability to articulate complex technical ideas and business value to a highly skilled audience.
- Fluency in Polish and English is required.
Nice to Have
- A Bachelor's degree in Engineering, Computer Science, MIS, or a comparable field.
- Hands-on experience with code: understand, troubleshoot, and preferably write in one or more of the following development areas: web (JavaScript, HTML, frontend frameworks), mobile (iOS, Android), or backend (Java, C#, Node.js, Python, PHP, Ruby).
- Demonstrated ability to architect and integrate CIAM solutions across web, mobile, and cloud platforms.
- Expertise in AI-driven customer experience integration with Auth0, including AI agents for internal or external use-cases, MCP servers, and Fine-Grained Authorization
- Public speaking, technical blogging, or conference presentation experience.
- Fluency in additional European languages is a strong plus.
#LI-Hybrid
#LI-JB2
Below is the annual On Target Compensation (OTE) range for candidates located in Poland. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and comprehensive healthcare coverage and financial benefits including paid time off and parental leave in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/pol.
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Software Engineer, Macro Middle Office Technology
A CAREER WITH POINT72’S TECHNOLOGY TEAM
As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.
The Macro Middle Office Trade Processing and Position Team is responsible for the development, maintenance, and automation of the systems that process trade executions into position keeping systems. The systems support a wide range of financial products and asset classes including equities, fixed income, foreign exchange, and credit. The team is global with personnel and service providers located throughout North America, Europe, and Asia.
WHAT YOU’LL DO
We are looking for a mid or senior-level engineer to develop systems for trade flow processing and life cycle management for our Macro business. This is a hands-on development role focused on automating and simplifying business process, as well as architecting and developing new systems in collaboration with the broader Middle Office team and stakeholders. Specifically, you will work with teams in New York and Warsaw on low latency position keeping systems and data models to serve the Global Macro business.
• Help achieve business goals and priorities set forth by Technology and business leadership by developing, maintaining, and modernizing our trade processing and position keeping platform.
• Deliver solutions that modernize and scale the position keeping platform through technology upgrades, cloud technology adoption, and re-architecting business processes.
WHAT’S REQUIRED
• 3+ years of combined work experience in C# .Net, SQL with strong knowledge of CI/CD pipelines, test driven development etc.
• Familiarity with messaging architectures, caching technologies, streaming and/or transaction processing systems
• Strong analytical and problem-solving skills
• The ability to multi-task and prioritize effectively in a fast-paced environment
• Familiarity with financial services industry. Basic understanding of one or more of Fixed Income, Credit, FX, Equities or various derivative products
• Expertise in the software development life cycle (Agile) and software development tools
• Excellent verbal and written communication skills
• Commitment to the highest ethical standards
WE TAKE CARE OF OUR PEOPLE
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
• Sports card
• Private life insurance
• Private medical and dental care, with vision allowance
• Private pension scheme
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Business travel accident insurance
• Employee assistance program
• Educational assistance reimbursement
ABOUT POINT72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com/about.
Ready to apply?
Apply to Point72
Developer Relations Engineer - Kimchi
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Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
Kimchi is an open-source AI inference platform built for teams running serious agentic coding workloads. We're building the harness, the routing, and the infrastructure layer that makes running your own AI coding stack possible - and affordable. We're early, moving fast, and the developer community is central to how we grow.
Responsibilities:
- Build things publicly with Kimchi - tutorials, demos, integrations - that show developers how to solve real problems. Think live build logs, OSS integrations, or benchmarks you'd want to read yourself.
- Be the voice of the the developer community: Discord, GitHub discussions, Reddit, HN - be present where developers are already talking about the problems we solve
- Be the structured feedback loop between dev community and product - synthesize what you're hearing into actionable signals for the product team.
- Write technical content that ranks and spreads: setup guides, benchmark breakdowns, comparison posts, integration walkthroughs
- Speak at conferences, meetups and run workshops - representing Kimchi as a technical peer
- Identify where new users get stuck and advocate hard for fixes
- Help shape Kimchi's voice in the developer community - what we stand for, what we say when there is trending news in the market
Requirements:
- You've built real software and can talk about it credibly - ideally you've used agentic coding tools and have opinions about them
- You're a strong technical writer - you can explain complex things clearly and make them resonate with the developer audience
- You're comfortable being the public face of a technical product: blog posts, talks, live demos, community threads
- Huge plus: You'd have tested and found problems Kimchi solves interesting - before this job posting even existed
- Bonus: you've worked in or around Kubernetes, LLM inference, or developer tooling
What’s in it for you?
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
Hiring process
- Screening call with Recruiter
- Hiring Manager interview
- 1-2 additional interviews based on the role
- Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Ready to apply?
Apply to Cast AI
Senior Backend Engineer, Active Journey Alliance
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Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.
Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.
HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.
About the role: What's in the Box
The position is part of the Active Journey Alliance, which has the mission to maximize retention of active customers. Active Journey Alliance helps customers to create habits with our products, manage their subscription, order the products they love and provide help in the face of errors.
Backend Engineers assume development and operational responsibility for the HelloFresh platform that serves millions globally to deliver the best experience for our customers and internal users.
At HelloTech, flexibility and cross-functional collaboration are core to how we work. While this role is aligned to a specific Alliance, strong candidates may also be considered for opportunities across different teams or projects.
What you’ll do: The Recipe
-
Work on of the architecture, design, development, deployment and operations of the microservices you will develop, using DevOps practices, pair programming and other cutting edge methodologies
-
Be active, solution-oriented member of autonomous, cross-functional agile teams collaborating with Product Owners, Front-end Engineers, Designers, and Business Intelligence teams
-
Having an in-depth understanding of HelloFresh’s core product and architecture, and act as ambassador for software solutions offering support and mentorship to colleagues
-
Work with state-of-the-art technologies like Golang, Kafka, Docker, Kubernetes and more
What you’ll bring: The Ingredients
-
Solid hands-on experience working with AI coding agents (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation. You use AI agents as thought partners to onboard on unfamiliar codebases and navigate new areas of the code with confidence. You have a practical sense of how the context you provide to AI tools - specifications, constraints, examples - shapes output quality, and a developing awareness of how agentic outputs can fail, with growing habits around verifying, testing, and setting boundaries on AI-generated work.
-
Strong background in backend development, with a focus on microservices and distributed systems
-
Proven ability to build event-driven architectures using messaging technologies such as RabbitMQ, Kafka, or AWS SQS/SNS
-
Proficiency in Go and/or PHP is preferred; experience with JVM languages and a willingness to learn Golang is also welcome
-
Practical knowledge of Docker, container orchestration tools like Kubernetes, and CI/CD implementation
-
Solid foundation in testing practices, including both unit and end-to-end testing
-
Deep understanding of relational databases
-
Familiarity with MongoDB, Elasticsearch, and/or GraphQL is a plus
Above all, we are looking for individuals who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.
What we offer: The Toppings
- Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
- Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
- Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
- End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
- Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).
Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.
#Engineering
Ready to apply?
Apply to HelloFresh
Principal Platform & Engagement Architect
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Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
Project Duration
6-month engagement with the possibility of extension
What You’ll Do
- Lead structured technical discovery with the hardware and platform engineering teams to establish the API surface, platform readiness, and target workload definitions
- Author the Architecture Decision Record (ADR) documenting the integration approach, technology choices, and key design decisions
- Define the requirements baseline, functional and non-functional, and produce the risk register
- Negotiate and agree the revised Statement of Work for Phases 1 and 2 with the client
- Establish the reference workload definition and benchmark criteria to be used through the POC
- Maintain technical governance and architectural coherence across the integration build
- Direct the engineering team on component delivery: workload adapter, hardware dispatch client, telemetry bridge, and any required platform-side changes
- Manage the client relationship on a day-to-day basis: progress reporting, risk escalation, and gate reviews
- Review and sign off integration components before gate conditions are assessed
- Lead knowledge transfer and runbook acceptance sessions with client engineering teams
- Support the customer Proof of Value demonstration in an advisory capacity
What You Bring
- Demonstrable background in cloud platform architecture, distributed systems, and API design — REST and gRPC in particular
- Experience integrating third-party hardware or specialised compute into cloud scheduling and resource management layers
- Familiarity with workload orchestration: Kubernetes, custom schedulers, resource plugins, or equivalent
- Working knowledge of observability tooling: OpenTelemetry, Prometheus, Grafana, or comparable stacks
- Comfort operating across the full stack, from infrastructure (IaC, networking, cloud providers) to API and platform layers
- SRE background or equivalent: SLO definition, telemetry design, incident response, and operational documentation
- Ability to design for observability and failure modes from the outset, not as a post-build afterthought
- Experience producing runbooks and operational documentation for technical handover
- Proven ability to lead client-facing technical engagements, managing expectations, communicating risk, and maintaining trust in ambiguous early-stage programmes
- Comfortable working with non-traditional technical counterparts, such as hardware scientists who may not be experienced platform API producers
- Skilled at structured requirements elicitation under significant uncertainty — able to extract requirements through interviews, prototypes, and reference examples rather than documentation
- Experience producing Architecture Decision Records, revised SOW documents, and risk registers as formal engagement outputs
- Experience operating as a senior contractor or fractional leader, comfortable with part-time engagement structures and accountability for commercial gate conditions without full-time oversight
- Able to take ownership of engagement quality and client confidence independently
Nice to Have
- Prior exposure to custom silicon, FPGA integration, or specialised AI accelerator hardware
- Experience in sovereign cloud, data sovereignty, or regulated compute environments
- Familiarity with AI/ML workload types: inference serving, training pipelines, batch processing
- Experience with M2M identity, workload authentication, and platform governance patterns
- Background in early-stage or venture-backed technology companies where engineering rigour and commercial pragmatism must coexist
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Principal Platform & Engagement Architect
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Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
Project Duration
6-month engagement with the possibility of extension
What You’ll Do
- Lead structured technical discovery with the hardware and platform engineering teams to establish the API surface, platform readiness, and target workload definitions
- Author the Architecture Decision Record (ADR) documenting the integration approach, technology choices, and key design decisions
- Define the requirements baseline, functional and non-functional, and produce the risk register
- Negotiate and agree the revised Statement of Work for Phases 1 and 2 with the client
- Establish the reference workload definition and benchmark criteria to be used through the POC
- Maintain technical governance and architectural coherence across the integration build
- Direct the engineering team on component delivery: workload adapter, hardware dispatch client, telemetry bridge, and any required platform-side changes
- Manage the client relationship on a day-to-day basis: progress reporting, risk escalation, and gate reviews
- Review and sign off integration components before gate conditions are assessed
- Lead knowledge transfer and runbook acceptance sessions with client engineering teams
- Support the customer Proof of Value demonstration in an advisory capacity
What You Bring
- Demonstrable background in cloud platform architecture, distributed systems, and API design — REST and gRPC in particular
- Experience integrating third-party hardware or specialised compute into cloud scheduling and resource management layers
- Familiarity with workload orchestration: Kubernetes, custom schedulers, resource plugins, or equivalent
- Working knowledge of observability tooling: OpenTelemetry, Prometheus, Grafana, or comparable stacks
- Comfort operating across the full stack, from infrastructure (IaC, networking, cloud providers) to API and platform layers
- SRE background or equivalent: SLO definition, telemetry design, incident response, and operational documentation
- Ability to design for observability and failure modes from the outset, not as a post-build afterthought
- Experience producing runbooks and operational documentation for technical handover
- Proven ability to lead client-facing technical engagements, managing expectations, communicating risk, and maintaining trust in ambiguous early-stage programmes
- Comfortable working with non-traditional technical counterparts, such as hardware scientists who may not be experienced platform API producers
- Skilled at structured requirements elicitation under significant uncertainty — able to extract requirements through interviews, prototypes, and reference examples rather than documentation
- Experience producing Architecture Decision Records, revised SOW documents, and risk registers as formal engagement outputs
- Experience operating as a senior contractor or fractional leader, comfortable with part-time engagement structures and accountability for commercial gate conditions without full-time oversight
- Able to take ownership of engagement quality and client confidence independently
Nice to Have
- Prior exposure to custom silicon, FPGA integration, or specialised AI accelerator hardware
- Experience in sovereign cloud, data sovereignty, or regulated compute environments
- Familiarity with AI/ML workload types: inference serving, training pipelines, batch processing
- Experience with M2M identity, workload authentication, and platform governance patterns
- Background in early-stage or venture-backed technology companies where engineering rigour and commercial pragmatism must coexist
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
The Bankruptcies & Hardships team (B&H) is a newly formed engineering group responsible for building Affirm’s core servicing platforms that support customers during critical financial moments. The team owns backend services and pipelines that orchestrate bankruptcy workflows and power compliant, reliable hardship support at scale.
Engineers on this team work on distributed systems, event-driven pipelines, and high-availability services with a strong emphasis on correctness, auditability, and operational excellence. You’ll collaborate closely with product, compliance, and other platform teams while helping shape foundational systems in a greenfield environment. This is a high-impact opportunity to apply deep backend expertise in Python and Kotlin to systems that matter to both customers and the business.
What You'll Do
- With the support of your team, you will work on tasks that contribute to the team's projects and goals.
- You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work.
- You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime.
- On-Call Rotation - There would be an on-call rotation for this role as a requirement
- You will contribute to a sense of community on your team by engaging in growth and development activities.
What We Look For
- You have previous work or internship experience designing, developing and launching backend systems at scale and are experienced using one of Python, Kotlin or Java.
- You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes.
- You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood,
well tested and extensible code.
- You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
- Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
- You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
Compensation and Benefits
Base Pay Grade - J
Equity Grade - Spain 2
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
ESP base pay range per year: €55,000 - €85,000
Additional benefits include:
- Type of employment: Contract of Employment
- Flexible Spending Wallets for tech, food and lifestyle
- Away Days - wellness days to take off work and recharge
- Learning & Development programs
- Parental benefits
- Employee Resource & Community Groups
We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.
Location - Remote Spain
#LI-Remote
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
- Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
Ready to apply?
Apply to Affirm
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
The Bankruptcies & Hardships team (B&H) is a newly formed engineering group responsible for building Affirm’s core servicing platforms that support customers during critical financial moments. The team owns backend services and pipelines that orchestrate bankruptcy workflows and power compliant, reliable hardship support at scale.
Engineers on this team work on distributed systems, event-driven pipelines, and high-availability services with a strong emphasis on correctness, auditability, and operational excellence. You’ll collaborate closely with product, compliance, and other platform teams while helping shape foundational systems in a greenfield environment. This is a high-impact opportunity to apply deep backend expertise in Python and Kotlin to systems that matter to both customers and the business.
What You'll Do
- With the support of your team, you will work on tasks that contribute to the team's projects and goals.
- You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work.
- You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime.
- You will contribute to a sense of community on your team by engaging in growth and development activities.
What We Look For
- You have previous work or internship experience designing, developing and launching backend systems at scale and are experienced using one of Python, Kotlin or Java.
- You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes.
- You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood,
well tested and extensible code.
- You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
- Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
- You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
Compensation and Benefits
Base Pay Grade - J
Equity Grade - Poland 2
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
POL base pay range per year: 205,000 zł - 285,000 zł
Additional benefits include:
- Type of employment: Contract of Employment
- Flexible Spending Wallets for tech, food and lifestyle
- Away Days - wellness days to take off work and recharge
- Learning & Development programs
- Parental leave
- Employee Resource & Community Groups
This role is eligible for creative tax benefits, subject to applicable law and company policy
Location - Remote Poland
The majority of our roles can be located anywhere in Poland.
**This job description is not a contractual document, and is not intended to have binding force.**
#LI-Remote
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
- Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
Ready to apply?
Apply to Affirm
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
The Bankruptcies & Hardships team (B&H) is a newly formed engineering group responsible for building Affirm’s core servicing platforms that support customers during critical financial moments. The team owns backend services and pipelines that orchestrate bankruptcy workflows and power compliant, reliable hardship support at scale.
Engineers on this team work on distributed systems, event-driven pipelines, and high-availability services with a strong emphasis on correctness, auditability, and operational excellence. You’ll collaborate closely with product, compliance, and other platform teams while helping shape foundational systems in a greenfield environment. This is a high-impact opportunity to apply deep backend expertise in Python and Kotlin to systems that matter to both customers and the business.
What You'll Do
- With the support of your team, you will work on tasks that contribute to the team's projects and goals.
- You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work.
- You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime.
- You will contribute to a sense of community on your team by engaging in growth and development activities.
What We Look For
- You have previous work or internship experience designing, developing and launching backend systems at scale and are experienced using one of Python, Kotlin or Java.
- You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes.
- You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood,
well tested and extensible code.
- You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
- Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
- You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
Compensation and Benefits
Base Pay Grade - J
Equity Grade - Poland 2
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
POL base pay range per year: 205,000 zł - 285,000 zł
Additional benefits include:
- Type of employment: Contract of Employment
- Flexible Spending Wallets for tech, food and lifestyle
- Away Days - wellness days to take off work and recharge
- Learning & Development programs
- Parental leave
- Employee Resource & Community Groups
This role is eligible for creative tax benefits, subject to applicable law and company policy
Location - Remote Poland
The majority of our roles can be located anywhere in Poland.
**This job description is not a contractual document, and is not intended to have binding force.**
#LI-Remote
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
- Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
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[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
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Apply to Affirm
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.
Project Team
Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.
Project Tech Stack
Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.
What You’ll Do
- Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
- Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
- Develop and optimize Databricks Data Warehouse for analytics and BI workloads
- Build and maintain semantic models to support enterprise reporting and self-service analytics
- Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
- Write, optimize, and tune complex SQL queries for large-scale analytical workloads
- Ensure data quality, reliability, and governance across the analytics platform
- Contribute to architecture decisions, best practices, and standards for data engineering
What You Bring
- 5+ years of experience in data engineering or analytics engineering roles
- Strong hands-on experience with Databricks (Spark, SQL)
- Advanced SQL skills, including performance tuning and query optimization
- Experience migrating data platforms, ideally Azure Synapse → Databricks
- Experience with Power BI, including dataset modeling
- Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
- Experience working with cloud data platforms
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
QA Automation Engineer (Digital Engineering)
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Company Background
Our client is a leading life insurance company, part of a global financial services group. The company provides a range of financial products, including annuities and life insurance, delivered through a large nationwide network of agents.
Project Description
The project focuses on ensuring quality and reliability of systems within the financial domain, including validation of business-critical workflows and data processing.
Technologies
- Python
- Azure
- SQL
- Databricks
- Automation frameworks
What You'll Do
- Perform manual testing of application features and workflows;
- Develop and maintain automation tests using Python;
- Work with existing automation frameworks and improve test coverage;
- Validate data and perform database checks using SQL;
- Collaborate with development and QA teams to ensure product quality;
- Identify, document, and track defects;
Job Requirements
- 3+ year of experience in QA;
- Experience with Databricks ecosystem;
- Experience working in Azure cloud environment;
- Good understanding of data pipelines and data platform architecture;
- Experience with Python for test automation;
- Understanding of automation frameworks;
- Experience working with SQL;
- Strong knowledge of manual QA practices;
- Attention to detail and analytical mindset;
- Ability to work in a team environment;
- English level: Upper-Intermediate (B2) or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
DevOps Engineer (RPA sphere)
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Company Background
Our client is the market leader in contact center robotic process automation (RPA). Its patented platform automates manual management processes in contact centers, helping enterprises reduce costs while improving agent engagement and customer experience. The platform powers over 1 billion automated actions annually and has delivered significant measurable ROI across industries such as financial services, telecommunications, insurance, and healthcare.
Project Description
The project focuses on deploying and managing a multi-tenant, namespace-isolated Kubernetes platform in a hosted AWS environment. You will design and implement secure, scalable tenant environments, automate deployments using GitOps, and ensure infrastructure reliability and compliance.
Technologies
- Kubernetes, Helm, Kustomize, GitOps (Argo CD, Flux), OpenTofu
- AWS (RDS, S3, KMS, IAM, Secrets Manager)
- NiFi, MariaDB, Flink, Dremio
- OpenTelemetry, Grafana, Jaeger/Tempo, ELK/Loki
- Service Mesh (Linkerd, Istio), OPA
- Bash, Python, PowerShell
What You'll Do
- Design and implement namespace-isolated tenant environments within shared Kubernetes clusters;
- Develop and maintain Helm charts with tenant-specific configurations;
- Build and manage GitOps-based CI/CD pipelines for per-tenant deployments;
- Integrate tenant workloads with backend systems (RDS/MariaDB, Flink, Dremio, S3);
- Implement compute isolation (node affinity, taints, tolerations);
- Apply security controls (RBAC, NetworkPolicies, OPA, service mesh);
- Ensure observability and monitoring using OpenTelemetry, Grafana, and centralized logging;
- Support secure deployment automation and rollback strategies;
- Collaborate with architecture and security teams on compliance validation;
- Participate in backend readiness efforts and transition from NiFi to microservices;
Job Requirements
- 5+ years of experience in DevOps, cloud infrastructure, or platform engineering;
- Strong hands-on experience with Kubernetes, including multi-tenant architecture and namespace management;
- Proficiency with Helm, Kustomize, and GitOps tools (Argo CD, Flux);
- Hands-on experience with AWS services (RDS, S3, IAM, KMS, Secrets Manager);
- Experience implementing secure CI/CD pipelines;
- Familiarity with backend/data systems (Flink, Dremio, MariaDB);
- Experience with NiFi (process groups, permissions, variable registries);
- Understanding of service mesh technologies and policy enforcement (OPA);
- Scripting experience (Bash, Python, PowerShell);
- Strong analytical and troubleshooting skills;
- Ability to work independently in fast-paced environments;
- Excellent collaboration and communication skills;
- English level: B2 or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Data Engineer
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Project Description
We are looking for a motivated Data Engineer to join our growing data team. This is a great opportunity for someone early in their career to gain hands-on experience with modern data technologies. You will collaborate closely with senior engineers and analysts to build, maintain, and optimize scalable data pipelines and infrastructure.
Technologies
- SQL (PostgreSQL, MySQL or similar)
- Python (or another scripting language)
- Basic knowledge of cloud platforms (AWS, GCP, or Azure) is a plus
- Familiarity with data visualization tools (e.g., Power BI, Tableau) is a plus
What You'll Do
- Assist in the design, development, and maintenance of scalable data pipelines;
- Support data integration from various sources (databases, APIs, flat files);
- Help ensure data quality, consistency, and reliability;
- Collaborate with data analysts and data scientists to understand data requirements;
- Participate in code reviews and contribute to technical documentation;
- Monitor and troubleshoot data workflows, resolving issues as they arise;
Job Requirements
- 1+ years of practical experience or relevant internship in a data-focused role (preferred);
- Bachelor’s degree in Computer Science, IT, Mathematics, or a related field (or equivalent practical experience);
- Basic knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server);
- Familiarity with at least one programming language (preferably Python);
- Understanding of ETL concepts and data warehousing fundamentals;
- Eagerness to learn new technologies and best practices in data engineering;
- Strong problem-solving skills and attention to detail;
- Effective communication and teamwork abilities;
- English level: Intermediate (B1) or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Data Engineer (Databricks)
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Project Description
We are looking for an experienced Data Engineer with deep expertise in Databricks to join our advanced analytics and data engineering team. The ideal candidate will play a key role in designing, building, and optimizing large-scale data solutions on the Databricks platform, supporting business intelligence, advanced analytics, and machine learning initiatives. You will collaborate with cross-functional teams to deliver robust, scalable, and high-performance data pipelines and architectures.
Technologies
- Databricks (including Spark, Delta Lake, MLflow)
- Python/Scala
- SQL
- ETL concepts
- Distributed data processing
- Data warehousing
- Cloud Platforms & Storage
What You'll Do
- Lead the design, development, and deployment of scalable data pipelines and ETL processes using Databricks (Spark, Delta Lake, MLflow);
- Architect and implement data lakehouse solutions, ensuring data quality, governance, and security;
- Optimize data workflows for performance and cost efficiency on Databricks and cloud platforms (Azure, AWS, or GCP);
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights;
- Mentor and guide junior engineers, promoting best practices in data engineering and Databricks usage;
- Develop and maintain documentation, data models, and technical standards;
- Monitor, troubleshoot, and resolve issues in production data pipelines and environments;
- Stay current with emerging trends and technologies in data engineering and Databricks ecosystem;
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
- 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks (including Spark, Delta Lake, and MLflow);
- Strong proficiency in Python and/or Scala for data processing;
- Deep understanding of distributed data processing, data warehousing, and ETL concepts;
- Experience with cloud data platforms (Azure Data Lake, AWS S3, or Google Cloud Storage);
- Solid knowledge of SQL and experience with large-scale relational and NoSQL databases;
- Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for data engineering;
- Experience with data governance, security, and compliance in cloud environments;
- Excellent problem-solving, communication, and leadership skills;
- English: Upper Intermediate level or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Sep 25, 2025 12:50
Ready to apply?
Apply to Coherent Solutions
Senior Data Engineer (Databricks)
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Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.
Project Team
Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.
Project Tech Stack
Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.
What You’ll Do
- Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
- Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
- Develop and optimize Databricks Data Warehouse for analytics and BI workloads
- Build and maintain semantic models to support enterprise reporting and self-service analytics
- Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
- Write, optimize, and tune complex SQL queries for large-scale analytical workloads
- Ensure data quality, reliability, and governance across the analytics platform
- Contribute to architecture decisions, best practices, and standards for data engineering
What You Bring
- 5+ years of experience in data engineering or analytics engineering roles
- Strong hands-on experience with Databricks (Spark, SQL)
- Advanced SQL skills, including performance tuning and query optimization
- Experience migrating data platforms, ideally Azure Synapse → Databricks
- Experience with Power BI, including dataset modeling
- Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
- Experience working with cloud data platforms
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
Senior Software Engineer (Java + AWS)
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Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading European provider of e-tendering, procurement systems, and information between buyers and suppliers. The European government is a major user of their services.
About the Project
The customer is acquiring new systems as part of consolidating the market, and all these systems have to be united into a future platform. Some will continue as is, while others need modernization. Some areas need individual parts carved out or need to be rebuilt from scratch using better architecture. We will also need to upgrade customers to a future better platform before sunsetting the old one. Despite all these different approaches, almost all of them have to talk together, either temporarily or permanently.
What You’ll Do
- Produce code using Java best practices
- Collect data from external sources and the customer’s service to compile it into one source
- Build services for data processing with data entry included (manually)
- Automate most of the existing manual work
- Collaborate with the cross-functional development team to bring static designs and prototypes to life, providing constructive feedback to optimize implementation and usability
- Provide solutions to technical problems of varying scope and complexity
- Collaborate with management to determine priorities and risks associated with projects
- Ensure all relevant processes, procedures, and product documentation are up-to-date
- Participate in all aspects of the product, including design, development, deployment, and maintenance
What You Bring
- 5+ years of Java background with latest Java versions
- Competency in working with modern architecture types
- Proficiency in working with modern CI/CD tools (GitHub actions, GitLab CI, Jenkins, Circle CI)
- Containerized application deployment (Docker), Kubernetes
- Knowledgeable in relational and non-relational databases
- Expertise in implementing non-functional requirements (security, performance, scalability)
- Grounding in infra as a code (CDK, Terraform, Chef, Puppet, Ansible)
- Knowledge of Kafka or other messaging systems
- Experience in AWS (ECS, EKS, Lambda, S3, API Gateway)
English level (permanent)
Intermediate+
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
Staff Software Engineer, Cloud
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About the Role:
We’re looking for an experienced Staff Software Engineer to help architect and build the systems that power Redpanda’s vision for the Agentic Data Plane (ADP), while also shaping the technical culture behind them.
In this role, you will design and develop our ADP product, building on our Bring Your Own Cloud, Serverless, and Redpanda Connect offerings. You will lead system architecture, develop new features, and operate ADP and Redpanda Cloud, helping us meet our 99.99% SLA. You will raise the engineering bar across the Cloud team and collaborate closely with Cloud, Core, and Platform engineering, as well as pre- and post-sales teams, to build robust, scalable systems with a strong emphasis on stability and zero-downtime upgrades.
You Will:
- Design, build and operate ADP and cloud services across AWS, GCP, and Azure, including control plane and data plane components
- Convert ambiguous product requirements into clear technical designs and executable workstreams
- Lead the technical direction of large projects within ADP, and contribute to architecture discussions that span ADP and adjacent Cloud teams
- Anticipate technical risks and proactively mitigate them to ensure timely, high quality delivery
- Set and uphold high standards for reliability, scalability, performance, and security
- Identify and champion new features, process improvements, and strategic initiatives that enhance engineering culture and operational excellence
- Participate in the on-call escalation chain; helping reduce escalations and improve operational health
- Build tools and services for automated infrastructure provisioning, deployment, and self-healing
- Make resilience and observability integral to the systems you own, enabling us to run enterprise-grade agentic systems and service in the cloud
You Have:
- Significant experience designing and operating large-scale, reliable systems in public cloud environments
- A track record of leading large technical projects end-to-end, from design and planning, to execution and production operations
- Strong proficiency in Go (or comparable systems language with willingness to ramp)
- Experience with AI-assisted software development workflows including tools like Claude Code
- Production experience with Kubernetes, including running and operating workloads
- Working knowledge of at least one of AWS / Azure / GCP, including IaC for system and network infrastructure
- Familiarity with stream processing concepts
- Excellent written and verbal communication skills; comfortable working in a globally distributed, async environment (e.g., GitHub)
- Ability to collaborate effectively with engineering, product, and customer-facing stakeholders
Nice to Have:
- Experience building Kubernetes operators for stateful / storage workloads
- Experience building or operating SaaS platforms
- Experience with streaming platforms as a user or provider
- Exposure to production agentic systems and building agentic workflows
Join Redpanda if you’d enjoy being part of a fast-moving, diverse, people-first organization with team members around the globe and a culture based on trust, transparency, communication, and kindness.
#LI-Remote
Ready to apply?
Apply to Redpanda Data
Who We Are
Verkada is transforming how organizations protect their people and places with an integrated, AI-powered platform. A leader in cloud physical security, Verkada helps organizations strengthen safety and efficiency through one connected software platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management.
Over 30,000 organizations worldwide, including more than 100+ companies in the Fortune 500, trust Verkada as their physical security layer for easier management, intelligent control, and scalable deployments. Founded in 2016, Verkada has expanded rapidly with 15 offices and 2,200+ full-time employees.
What You'll Do
- Develop features for embedded platforms such as Cameras, Access control, Alarms, Sensors in Linux embedded environment.
- Develop and maintain Go firmware for embedded devices with focus on performance and security.
- Extend Backend services implemented in Python and Go.
- Take part in projects from inception to deployment and customer support.
- Build prototypes, work on proof of concepts.
- Collaborate closely with cross-functional teams to translate project requirements into well-designed and efficient code.
- Conduct thorough testing and debugging to ensure the delivery of high-quality and error-free software.
- Stay up-to-date with the latest Go language updates and best practices.
- Optimize software applications for better performance and efficiency taking advantage of Go.
- Actively participate in code reviews, providing constructive feedback to improve code quality and maintain coding standards.
- Troubleshoot and resolve issues related to software functionality, performance, and integration, ensuring a seamless user experience.
What You Bring
- Demonstrated experience developing with Go, including its standard library and common developer tools (debugging and profiling).
- Good experience in Python programming or other scripting languages.
- Experience in version control systems.
- Experience designing and implementing APIs using REST, gRPC, and Protobuf.
- Working knowledge of SQL or NoSQL databases, such as DynamoDB.
- Experience building service-oriented backends, preferably within the AWS cloud environment.
- Experience in Linux Embedded development.
- Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes.
Nice to Have
- Experience modifying drivers, working with HAL (Hardware Abstraction Layer) in AOSP, and customizing the AOSP build system (Soong/Blueprint).
- Hands-on experience in Android app development, debugging, and profiling; familiarity in Android Framework internals and AOSP API modifications.
- Experience in C or C++ programming.
- TCP/IP stack.
- Working knowledge in electronics - basic understanding of electrical circuits and usage of lab equipment, like multimeters.
Poland Employee Benefits
Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:
- Healthcare programs that can be tailored to meet the personal health and financial well-being needs
- Paid parental leave policy & fertility benefits
- Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
- Professional development stipend
- Wellness/fitness benefits
- Healthy lunches provided daily
- Commuter benefits
Additional Information
- We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.
Employee Pay Disclosure
At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. For this role, Verkada estimates a starting base salary will fall in the range of approximately 17 000 PLN - 60 000 PLN netto / month for B2B contracts and 14 000 PLN - 51 000 PLN brutto / month for UoP contracts. This estimate can vary based on the factors described above, so the actual starting base salary may be above or below this range. Base salary is also just one component of Verkada’s total rewards package. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of Restricted Stock Units (RSUs).
Verkada Is An Equal Opportunity Employer
As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
Your application will be handled in accordance with our Candidate Privacy Policy.
Ready to apply?
Apply to Verkada
Who We Are
Verkada is transforming how organizations protect their people and places with an integrated, AI-powered platform. A leader in cloud physical security, Verkada helps organizations strengthen safety and efficiency through one connected software platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management.
Over 30,000 organizations worldwide, including more than 100+ companies in the Fortune 500, trust Verkada as their physical security layer for easier management, intelligent control, and scalable deployments. Founded in 2016, Verkada has expanded rapidly with 15 offices and 2,200+ full-time employees.
About the Role
We're focused on hiring embedded software engineers that understand not only the lower-level systems, but also how everything integrates together from the hardware to the UI. You’ll be working closely on one side with our hardware vendors and ME/EE people, and on the other side with server and UI engineers, industrial designers, and our operations team. If you’re looking for a fast-paced environment where your work is regularly shipping to customers and improving people’s safety, this is the place for you!
What You'll Do
- Develop features for embedded platforms such as Cameras, Access control, Alarms, Sensors in Linux embedded environment.
- Debug, solve problems, do code reviews
- Define architecture, design of new features, functionalities.
- Take part in projects from inception to deployment and customer support.
- Build prototypes, work on proof of concepts.
- Research on technologies we are interested in for new products
- Work in cross-functional team
What You Bring
- +5 years of experience on Linux Embedded development
- +5 years of experience on C or C++ programming
- Experience with Yocto/bitbake
- Experience with Bash or other scripting language
- Experience with Git
Nice to Have
- Linux kernel modules programming
- Bootloaders (u-boot)
- Secure boot / security
- Go programing
- Python
- Experience in C++ programming
- Basic understanding of electrical circuits and usage of lab equipment (multimeters, etc)
- Experience with RTOS
Poland Employee Benefits
Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:
- Healthcare programs that can be tailored to meet the personal health and financial well-being needs
- Paid parental leave policy & fertility benefits
- Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
- Professional development stipend
- Wellness/fitness benefits
- Healthy lunches provided daily
- Commuter benefits
Employee Pay Disclosure
At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. For this role, Verkada estimates a starting base salary will fall in the range of approximately 17 000 PLN - 60 000 PLN netto / month for B2B contracts and 14 000 PLN - 51 000 PLN brutto / month for UoP contracts. This estimate can vary based on the factors described above, so the actual starting base salary may be above or below this range. Base salary is also just one component of Verkada’s total rewards package. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of Restricted Stock Units (RSUs).
Verkada Is An Equal Opportunity Employer
As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
Your application will be handled in accordance with our Candidate Privacy Policy.
Ready to apply?
Apply to Verkada
Who We Are
Verkada is transforming how organizations protect their people and places with an integrated, AI-powered platform. A leader in cloud physical security, Verkada helps organizations strengthen safety and efficiency through one connected software platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management.
Over 30,000 organizations worldwide, including more than 100+ companies in the Fortune 500, trust Verkada as their physical security layer for easier management, intelligent control, and scalable deployments. Founded in 2016, Verkada has expanded rapidly with 15 offices and 2,200+ full-time employees.
About the Role
What You'll Do
- Define / create automated test system architecture for embedded systems like Access Control, Cameras, Sensors, Alarms etc.
- Take part in choosing technologies used in automated test system
- Together with a team build CI system, choose technology, set all things up, develop needed scripts etc.
- Together with the team define, develop automated test cases, create test strategy,
- Lead automated test case development in a cross-functional engineering team.
- Create test suites for smoke tests, performance tests, functional testing etc.
- Together with the team set up test management solutions, test results reporting (preferred highly automated options)
What You Bring
- +5 years of experience in testing hardware devices / embedded systems / software testing
- Experience in building CI systems for embedded platforms
- Experience in creating test strategy
- Experience in designing and developing automated test cases for hardware devices, ex. HIL
- Proficient in Python
- Linux user
- Knowledge of GitHub
Nice to Have
- Basic understanding of electronics
- Basic usage of lab equipment (multimeter, oscilloscope etc. )
- Wireless communication protocols (NFC, Bluetooth, UWB)
- BDD methodology (Gherkin syntax)
- C / C++ / Go programming
- Bash scripting
- Yocto
- TeamCity, GitHub Actions
Poland Employee Benefits
Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:
- Healthcare programs that can be tailored to meet the personal health and financial well-being needs
- Paid parental leave policy & fertility benefits
- Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
- Professional development stipend
- Wellness/fitness benefits
- Healthy lunches provided daily
- Commuter benefits
Additional Information
- We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.
Employee Pay Disclosure
At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. For this role, Verkada estimates a starting base salary will fall in the range of approximately 17 000 PLN - 60 000 PLN netto / month for B2B contracts and 14 000 PLN - 51 000 PLN brutto / month for UoP contracts. This estimate can vary based on the factors described above, so the actual starting base salary may be above or below this range. Base salary is also just one component of Verkada’s total rewards package. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of Restricted Stock Units (RSUs).
Verkada Is An Equal Opportunity Employer
As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
Your application will be handled in accordance with our Candidate Privacy Policy.
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AI Agent Engineer (Poland)
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About the Role:
Redpanda is looking for an AI Agent Engineer to join our team in Warsaw, Poland. Ideal candidates are engineers who take initiative, balance speed with quality and are comfortable working on open-ended problems.
Redpanda is building the Agentic Data Plane, a platform designed to let enterprises safely deploy AI agents across their entire data infrastructure. We’re deploying AI agents across our company to automate how we work and make our internal operations as cutting-edge as our external products. This position reports into Engineering. In this role, you’ll partner with stakeholders in our G&A teams (HR, Finance, Legal) to identify opportunities to increase productivity and then build the AI agents to address these needs. This involves designing agentic workflows, connecting data sources, ensuring observability and governance, and pushing the boundaries of what ADP can do. You’ll also work closely with other engineers to provide input on ADP functionality and improve the product for our customers.
You Will:
- Practice Customer Obsession: Work with internal stakeholders in Finance, HR, and Legal to deeply understand their workflows and identify high-impact opportunities for AI automation.
- Win as a Team: Work cross-functionally to bridge the gap between technical possibility and business need, ensuring that every AI agent you build helps a colleague do their best work.
- Build & Deploy Agents: Design, develop, and maintain AI agents and agentic workflows using LLMs to automate complex tasks.
- Rapid Prototyping: Move from "idea" to "prototype" in days, not months, iterating quickly based on direct feedback from your users.
- Operationalize AI: Ensure the AI tools you build are reliable, measurable, and seamlessly integrated into our existing ecosystem of tools
- Be a Good Human: Approach every internal request with empathy and kindness, ensuring that AI tools are built to empower and support our people, not just to optimize metrics.
- Use leading AI Tools, including Redpanda ADP: Use Redpanda’s Agentic Data Plane and other industry Agentic tools to ensure we’re using the latest tools available to meet our agentic needs.
You Have:
- Foundational Engineering Skills: Strong understanding of software engineering best practices (Git, testing, clean code).
- Familiarity with Agentic Architectures: Understanding of agentic workflows and connectivity to data sources. Awareness of security and data access concerns, including understanding of application permission models and audit logging.
- Collaborative Spirit: A commitment to Winning as a Team you can explain technical concepts to non-technical peers and are motivated by collective success.
- Adaptability: Comfort with ambiguity and a "bias for action." You thrive in a fast-paced environment where priorities can shift as we discover new AI capabilities.
- Professional Integrity: A commitment to Being a Good Human, which means building ethical, transparent AI and being a supportive, reliable teammate.
- Professional English fluency. You can communicate clearly in writing and in cross-functional meetings.
Nice to Have:
- Experience working with AI tools for software development (e.g., Claude Code, GitHub Copilot)
- A portfolio of AI projects, either personal or professional, including—AI bots, agents, or automations
- Experience with Redpanda, Apache Kafka, or similar event streaming platforms
- Familiarity with G&A tooling (e.g., Greenhouse, Netsuite, Ironclad, or Slack API).
- Previous experience in a startup or a "forward-deployed" capacity.
Join Redpanda if you’d enjoy being part of a fast-moving, diverse, people-first organization with team members around the globe and a culture based on trust, transparency, communication, and kindness.
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Senior Software Engineer, Core Enterprise
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About the Role:
The Core engineering team’s mission is to create the best data streaming platform. The team consists of known experts in foundational technologies such as Raft/consensus, transactions, WASM and distributed storage, who have come together to build a differentiated highly performant product with compelling traction in the market. The Core engineering team works closely across multiple functions at Redpanda and our work directly drives key business metrics through various SaaS and self-managed offerings.
We are looking for a software engineer who will help play a big role in expanding Redpanda’s footprint with enterprise-focused features and functionality related to next-generation streaming platform, security, performance and scalability.
You will:
- Build and maintain the customer-facing interfaces provided by Redpanda
- Analyze the Kafka API and strive for parity
- Enhance the user experience and overall system performance
- Implement security and access control functions critical for enterprise customers
- Enable new customer-centric capabilities that focus on serving large enterprise customers
- Contribute to the overall success of Redpanda by ensuring our core tenets of Operational Simplicity, No Data Loss, and Blazingly Fast remain true as we push the envelope on scalability while expanding our target addressable market through features and integrations
You have:
- 5+ years of substantial and relevant experience in software development
- Strong understanding and experience of C++, Rust or other systems languages (ideally modern C++17 or C++20), including profiling and benchmarking
- Excellent written communication skills, collaboration skills, and executive function to overcome challenges
- A lifelong commitment to learning and improving yourself
Nice to have:
- Knowledge of and experience integrating auth{n,z} protocols such as: OAuth (OpenID), kerberos, SASL, LDAP, SCRAM, TLS, etc
- Experience with development of high throughput real-time distributed platforms
- Some working knowledge of kubernetes and systems maintenance
- Metrics development including open telemetry, prometheus and Grafana
- Experience developing open source software
- Data streaming application experience
If you can read this, type "blueberry" before your name.
U.S. base salary range for this role is $171,000 - 239,000 (CA, NY, WA) and $164,000 - $229,000 (other US locations). Our salary ranges are determined by role, level, and location. As a remote-first company, we strive to consider each candidate's job-related skills, location, experience, relevant education or training to determine individual base salary. Your talent partner will share more about the specific salary range for your preferred location during the hiring process.
Please note that Redpanda uses artificial intelligence (AI) technology to assist in the screening and assessment of applications for this position. However, all final hiring decisions are made by our human hiring team.
Vacancy Status: This job posting is for an existing vacancy.
Join Redpanda if you’d enjoy being part of a fast-moving, diverse, people-first organization with team members around the globe and a culture based on trust, transparency, communication, and kindness.
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Senior Software Engineer, Observability
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About the Role:
We are looking for a Senior Software Engineer to join our Observability team and help build the platform that gives Redpanda’s engineering organization deep visibility into the health, performance, and behavior of our systems. You will own and evolve our Grafana-based observability stack—spanning metrics, logs, and traces—and ensure that every team at Redpanda has the tooling and insights they need to ship reliable, high-performance software.
This is a high-impact role at the intersection of infrastructure and developer experience. You will work closely with platform and product engineering teams to design scalable observability solutions, drive adoption of best practices, and reduce mean time to detection and resolution across our cloud and on-premise deployments.
You Will:
- Design, build, and maintain Redpanda’s observability platform using the Grafana stack (Grafana, Mimir, Loki, Tempo, Alloy/Agent)
- Develop and optimize dashboards, alerts, and SLO/SLI frameworks that give engineering teams actionable insights into system health
- Build and operate scalable metrics, logging, and distributed tracing pipelines that handle high-cardinality data across cloud and on-premise environments
- Instrument services and infrastructure with OpenTelemetry to ensure comprehensive, standards-based telemetry collection
- Partner with platform teams to improve incident detection, root-cause analysis, and mean time to resolution (MTTR)
- Evaluate and integrate new observability tools and techniques, driving continuous improvement of our monitoring capabilities
- Contribute to internal tooling and automation that streamlines observability onboarding for engineering teams
- Participate in on-call rotation to keep observability infrastructure running and incident free
You Have:
- 5+ years of experience in software engineering with a focus on observability, monitoring, or infrastructure
- Deep hands-on experience with the Grafana stack (Grafana, Mimir/Prometheus, Loki, Tempo) in production environments
- Strong understanding of metrics, logging, and distributed tracing paradigms and their trade-offs at scale
- Experience with OpenTelemetry (OTel) for instrumentation and telemetry collection
- Proficiency in at least one systems-level language (Go strongly preferred) and scripting languages (Python, Bash)
- Experience running and operating infrastructure on Kubernetes in public cloud environments (AWS, GCP, or Azure)
- Comfortable working with a 100% distributed engineering team, collaborating on GitHub, etc.
- Experience with AI coding tools (e.g., Claude Code) and able to independently validate, refine, and productionize generated outputs
- Solid understanding of time-series databases, log aggregation systems, and query languages (PromQL, LogQL)
Nice to Have:
- Strong understanding of Go
- Experience operating a SaaS platform with production observability at scale
- Familiarity with eBPF-based observability or continuous profiling tools (e.g., Pyroscope, Parca)
- Experience with infrastructure-as-code (Terraform, Pulumi) and GitOps workflows
- Operated and used streaming platforms (e.g., Kafka, Redpanda) either as a user or provider
- Experience building or managing multi-tenant observability platforms
- Contributions to open-source observability projects (Grafana, Prometheus, OpenTelemetry, etc.)
Join Redpanda if you’d enjoy being part of a fast-moving, diverse, people-first organization with team members around the globe and a culture based on trust, transparency, communication, and kindness.
#LI-Remote
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WHAT IS BOX
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
WHY BOX NEEDS YOU
Box is scaling Box AI and our internal analytics to power smarter decisions across the business.
You will design and deploy AI agents and operational solutions that strengthen both IT and business workflows. These agents will be engineered to minimize hallucinations and prioritize security in their models, data handling, and decision-making. You will also build and maintain MCP servers and developer tools that surface actionable data insights and make it easier for teams to act on them. Overall, your work will connect secure, reliable infrastructure with practical AI capabilities to accelerate informed, low-risk decision-making across the organization.
WHAT YOU’LL Do
-
Design, build, and deploy AI agents that automate and improve IT and business workflows while minimizing hallucinations and ensuring reliable outputs.
-
Implement model validation, monitoring, and fail-safe mechanisms to detect and reduce incorrect or risky agent behavior.
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Architect secure data handling pipelines (ingest, storage, access controls, encryption) to protect sensitive information used by models and agents.
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Develop and maintain MCP servers and developer tooling that surface actionable insights and make it easy for teams to query, debug, and act on model outputs.
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Integrate observability and telemetry (logging, metrics, tracing) for agents and infrastructure to enable rapid incident detection, root-cause analysis, and performance tuning.
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Build role-based APIs and interfaces that allow business and engineering teams to safely interact with agents and automated workflows.
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Create onboarding, documentation, and training materials to help teams adopt agents and follow best practices for secure, low-risk usage.
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Collaborate with security, compliance, and product teams to define policies, access controls, and approval workflows for model deployment and data use.
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Optimize infrastructure cost and reliability through capacity planning, fault tolerance, CI/CD pipelines, and automated testing for agent behavior and integrations.
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Continuously evaluate new model architectures, tooling, and defenses to improve accuracy, reduce bias, and maintain a secure, scalable AI platform.
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Define canonical schemas, metadata standards, and classification taxonomies to enable trusted decisions and secure data sharing between IT and business teams.
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Create automated metadata pipelines using AI/NLP to extract, normalize, and enrich dataset context (ontology, definitions, sensitivity, lineage), and automate metadata population, semantic matching, and lineage inference for faster cataloging.
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Develop AI agents and tooling that summarize dataset health, recommend joins/transformations, infer lineage, and route remediation tasks to owners.
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Measure and report on adoption, data health, and governance maturity; iterate standards and tooling based on feedback and telemetry.
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Mentor peers and evangelize best practices to raise organizational data maturity and enable reliable AI/analytics at scale.
WHO YOU ARE
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
- An AI-first practitioner who seeks to use AI to accelerate decisions and amplify impact.
- 5+ years software engineering experience; 2+ years building ML/AI products or agent systems.
- Strong Python skills; familiarity with Slack app development preferred.
- Experience with LLMs, prompt engineering, RAG, and vector stores.
- Experience with ML frameworks (PyTorch/TensorFlow) and model evaluation/validation techniques.
- Cloud experience (AWS/Azure/GCP), Kubernetes, Docker, Terraform.
- Observability and monitoring tools (Prometheus, Grafana, ELK, OpenTelemetry).
- Security and compliance familiarity (IAM, encryption, GDPR/HIPAA awareness).
- An engineer with hands-on experience in cloud data warehouses (BigQuery, Snowflake, Redshift, or similar).
- Able to lead cross-functional initiatives and influence stakeholders across IT, Security, and business without direct authority.
- An effective communicator who translates technical concepts into clear guidance for non-technical audiences.
- Preferred skills:
- Google Cloud Platform, BigQuery administration, data access/security modeling, and regulated data classification experience.
- Experience with LangChain, Ray, or agent frameworks.
- Familiarity with semantic metadata/catalog tooling (Dataplex, Looker).
- Experience with CI/CD (GitHub Actions/Jenkins), chaos testing, and load testing.
- Track record of reducing hallucinations and improving model reliability.
BENEFITS
Check out the overview of Life at Box which include general perks and benefits.
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
For details on how we protect your information when you apply, please see our Personnel Privacy Notice.
For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice.
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Solution Engineer
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Application and Interview Impersonation Notice: Impersonating another individual when applying for employment, and/or participating in an interview process to assist another individual in obtaining employment, with Precisely Software Incorporated (“Precisely”) is unlawful. If Precisely identifies such fraudulent conduct, then as applicable and to the extent permitted by law, the application will be rejected, an offer (if made) will be rescinded, or the employment will be terminated, and legal action may be taken against the impersonators.
Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely!
Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge.
Overview: The Solution Engineer is a technically skilled professional who plays a critical role in enabling the Sales Engineering organisation to operate at maximum effectiveness. This role focuses on delivering high‑quality technical support for Sales Engineers by ensuring all assets and environments are maintained and ready for use, to advance and close opportunities efficiently. Proactively research and build innovative solutions and work closely with Solution Architects and Sales Engineers to ensure alignment, strengthen knowledge sharing and drive enablement
What you will do:
- Collaborate with Solution Architects and Sales Engineers to identify relevant strategic solutions
- Design, build and maintain reuseable product demos, environments, solutions and technical assets
- Effectively communicate the value and/or advantages of solutions in both technical and business context
- Provide high-quality technical support to Sales and Sales Engineering as required
What we are looking for:
- Experience supporting geographically distributed Sales Engineering teams
- Proficiency in creating custom demos, POCs and technical environments
- Minimum of two-years of experience in customer-facing technical roles
- Experience using LLMs (e.g. Claude, GPT, Gemini)
- Programing experience, any language
- Knowledge of hyperscalers (AWS, GCP, Azure) and Linux/Windows
- Minimum of two-years of experience working with data-management cloud applications such as Databricks or Snowflake
- Working knowledge of data-intensive applications including Matillion, Informatica, Talend
- Familiarity with data disciplines; Governance, Quality, MDM, Observability
- Experience with major DBMS systems such as Oracle, DB2, SQL Server, Cassandra, MongoDB
- Excellent written and verbal communication skills, with the ability to translate technical concepts into customer‑friendly language
- Bachelor of Science in Computer Science, Computer Engineering, Information Systems, Electrical Engineering, or other related technology disciplines. (Candidates with other degrees will be considered if they are able to demonstrate sufficient technical proficiency and expertise.)
Salary: 120 000 - 160 000 PLN gross per year - compensation is flexible and open for discussion, with the possibility of adjustment for candidates whose skills and experience strongly align with the role’s requirements
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The personal data that you provide as a part of this job application will be handled in accordance with relevant laws. For more information about how Precisely handles the personal data of job applicants, please see the Precisely Candidate Privacy Notice
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Solution Engineer (Product Demo, ETL engineer)
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Application and Interview Impersonation Notice: Impersonating another individual when applying for employment, and/or participating in an interview process to assist another individual in obtaining employment, with Precisely Software Incorporated (“Precisely”) is unlawful. If Precisely identifies such fraudulent conduct, then as applicable and to the extent permitted by law, the application will be rejected, an offer (if made) will be rescinded, or the employment will be terminated, and legal action may be taken against the impersonators.
Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely!
Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge.
Overview: The Solution Engineer is a technically skilled professional who plays a critical role in enabling the Sales Engineering organisation to operate at maximum effectiveness. This role focuses on delivering high‑quality technical support for Sales Engineers by ensuring all assets and environments are maintained and ready for use, to advance and close opportunities efficiently. Proactively research and build innovative solutions and work closely with Solution Architects and Sales Engineers to ensure alignment, strengthen knowledge sharing and drive enablement
What you will do:
- Collaborate with Solution Architects and Sales Engineers to identify relevant strategic solutions
- Design, build and maintain reuseable product demos, environments, solutions and technical assets
- Effectively communicate the value and/or advantages of solutions in both technical and business context
- Provide high-quality technical support to Sales and Sales Engineering as required
What we are looking for:
- Experience supporting geographically distributed Sales Engineering teams
- Proficiency in creating custom demos, POCs and technical environments
- Minimum of two-years of experience in customer-facing technical roles
- Experience using LLMs (e.g. Claude, GPT, Gemini)
- Programing experience, any language
- Knowledge of hyperscalers (AWS, GCP, Azure) and Linux/Windows
- Minimum of two-years of experience working with data-management cloud applications such as Databricks or Snowflake
- Working knowledge of data-intensive applications including Matillion, Informatica, Talend
- Familiarity with data disciplines; Governance, Quality, MDM, Observability
- Experience with major DBMS systems such as Oracle, DB2, SQL Server, Cassandra, MongoDB
- Excellent written and verbal communication skills, with the ability to translate technical concepts into customer‑friendly language
- Travel is required: No
- Bachelor of Science in Computer Science, Computer Engineering, Information Systems, Electrical Engineering, or other related technology disciplines. (Candidates with other degrees will be considered if they are able to demonstrate sufficient technical proficiency and expertise.)
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The personal data that you provide as a part of this job application will be handled in accordance with relevant laws. For more information about how Precisely handles the personal data of job applicants, please see the Precisely Candidate Privacy Notice
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Senior Back end Engineer (Poland, Remote)
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About First Connect:
First Connect Insurance Services is a digital marketplace providing independent insurance agents access to top US carriers and the optionality necessary to grow their businesses. Agents can work with 130+ carriers, selling various insurance policies, including home, auto, small business, and more. We’re on a mission to overhaul the technology agents have access to, putting consumer-grade software at their fingertips. We’ve got thousands of active agents with hundreds joining monthly, and we plan to accelerate our growth.
Role Overview:
The core of our business revolves around retrieving and processing vast amounts of insurance carrier data. This isn’t just about moving numbers – this data enables our most critical platform features and powers the entire agency commission cycle.
As a Senior Backend Engineer in this role, you will own this domain. We need someone who thrives in data-heavy environments and can architect systems that handle diverse data configurations and varying levels of data quality with precision. You’ll work closely with Product, Design, Business, and Finance teams to prioritize, build, and monitor the systems that form the very backbone of our business.
If you’re a Senior Engineer who loves tackling complex data challenges, spotting patterns in chaos, and shaking things up, you’ve come to the right place. 🚀
What You’ll Do:
- Architect Data Pipelines: Design and own the systems responsible for processing massive datasets from 130+ different carriers, ensuring high availability and reliability
- Master Data Complexity: Build robust logic to handle various data configurations, ensuring accuracy in our crucial commission and platform features
- Ensure Data Quality: Implement advanced patterns and monitoring to identify and resolve data quality issues before they impact the business
- Scale Asynchronous Systems: Optimize our event-driven architecture to ensure seamless, real-time data processing at scale
- Cross-Functional Ownership: Collaborate with Finance and Business teams to translate complex data requirements into scalable technical solutions
We might be a match if:
- You have 6+ years of commercial experience with a heavy focus on backend systems and complex data processing
- You have a data-heavy expertise: Proven experience in building systems that handle large, diverse datasets and complex integrations
- You have technical Mastery: Proficiency with Node.js, TypeScript, NestJS, and PostgreSQL
- You gained architectural Excellence: Strong background in asynchronous system architecture and a sharp eye for good design patterns
- You have a Startup Mindset: High ownership and the ability to navigate ambiguity. We are looking for people who want to build and grow, not just maintain
- You are based in Poland with flexibility for partial US time zone overlap
You’ll get extra points for:
- Interest in mentoring others and stepping into a lead role
- Advanced SQL & Optimization: Deep knowledge of PostgreSQL performance tuning, indexing strategies, and handling large-scale datasets
Recruitment process:
Our goal is to be thorough while respecting your time.
- Send us your CV – it's the best way for us to get to know you.
- Meet Karolina, our Recruiter for initial interview
- Join a technical interview with our Team Members
- Meet our team for a live coding interview
- Talk with Michał, our Hiring Manager
- Join Wojtek and Ola for final stage call
... and welcome aboard! 👋
What benefits are waiting for you:
Salary
Basics
Health & Safety
Working conditions & Development
Extras you may like
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About First Connect:
First Connect Insurance Services is a digital marketplace providing independent insurance agents access to top US carriers and the optionality necessary to grow their businesses. Agents can work with 130+ carriers, selling various insurance policies, including home, auto, small business, and more. We’re on a mission to overhaul the technology agents have access to, putting consumer-grade software at their fingertips. We’ve got thousands of active agents with hundreds joining monthly, and we plan to accelerate our growth.
Role Overview:
This is a foundational and strategic product role focused on one of our key growth drivers for 2026: the core agent experience of comparative rating and binding policies. You will be the architect and driver of the entire product lifecycle- from complex technical carrier integrations all the way to the final, polished end-user interface.
You will spearhead the end-to-end product strategy for these flows, sitting at the intersection of agent needs, business strategy, and technical feasibility. This is a highly autonomous position where your ability to create and execute a compelling product vision will directly impact policy production and the company's growth.
The ideal candidate is a seasoned, technical, data-driven, and impact-oriented leader excited to take full ownership of a high-complexity product in a fast-paced, high-growth environment.
What You’ll Do:
Drive Quote & Bind Product Strategy
- Spearhead the end-to-end product strategy for our comparative rater and binding flows, owning the product from technical carrier integrations to the final end-user interface.
- Define, track, and report on key product KPIs, making ruthless prioritization decisions based on a healthy mix of impact analysis, effort, and user feedback.
- Drive user adoption of the quote and bind features, ensuring a world-class, seamless agent experience.
Lead Product & Technical Excellence
- Drive technical & feature excellence by collaborating closely with Engineering and Design teams to translate high-level business problems into detailed technical requirements and polished features.
- Lead agent-facing discovery, research, and ideation to inform the product roadmap.
- Coordinate across time zones with internal teams and external partners to translate problem areas and requirements into productized solutions.
Own the Agent Journey
- Take over a ready product that is poised to be one of our key growth levers, requiring readiness to pivot and adapt to fast-changing priorities.
- Collaborate with almost every team in the company, with most exposure to Engineering, Design, Data, Support, and Sales.
What You Bring:
- 7+ years of product management experience, owning and driving significant cross-organizational, user-facing projects in either B2B or B2C fields.
- Proven track record of working on cross-functional projects and the ability to create and steer a compelling product vision and strategy.
- Technical know-how, including demonstrated experience working closely with engineering, driving technical products forward, and experience working with APIs (setting specifications or as an engineer).
- Strong UX sense and demonstrated data analysis capabilities.
- High ownership mindset – comfortable navigating ambiguity and pushing initiatives forward, even when faced with (sometimes) archaic carrier technology to integrate with.
- Fluent in English (C1) and Polish (C2).
- Based in Poland with the flexibility to work partial overlap with the US time zone (typically twice a week after 5 PM CET).
- Nice to Have: SaaS and/or Fintech experience, Engineering or Quality Assurance background, SQL knowledge, and prior startup/scale-up experience.
Recruitment process:
Our goal is to be thorough while respecting your time.
- Send us your CV – it's the best way for us to get to know you.
- Meet Ola, our Talent Manager for initial interview.
- Join for an interview with the Hiring Manager, Paweł Kaminski (60 mins).
- Meet with our Engineers for a short check-in (30 mins).
- Complete the recruitment task and discuss your solution with the people you met earlier and Yotam (Chief Product Officer).
- Individual meeting with the CPO.
... and welcome aboard! 👋
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