Location: Belgrade, Serbia
Workplace: hybrid
QA Analyst - Belgrade
We're seeking an QA Analyst to own the end-to-end quality assurance strategy for Sokin’s technology ecosystem and shift it left into the engineering team, ensuring world-class standards in reliability, performance, and scalability. This role requires deep technical competence, hands-on automation expertise, and the ability to embed quality into the culture of rapid fintech delivery.
You will be responsible for validating the quality, reliability, and performance of Sokin’s platform. Working within an automation-first QA function, this role ensures that every product release meets the highest standards before reaching our customers.
About Us
Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business - so businesses thrive wherever they choose to grow. We deliver services across:
• Global payments and receivables
• Foreign Exchange (FX)
• Treasury management
• Finance reconciliations
We are rapidly expanding, with established presence in EMEA, APAC, and North America,
Backed by a strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide.
Our clients span industries from sports and entertainment to logistics and travel, and our community is growing rapidly. As we continue to expand, we’re building a team of exceptional people who share our ambition to transform the future of global payments.
Key Responsibilities
Execute manual and automated test cases across mobile, web, and backend systems.
Design, maintain, and optimize test plans, test cases, and test data.
Collaborate closely with developers and product managers to understand business logic and acceptance criteria.
Identify, document, and track defects through to resolution.
Participate in sprint planning and support QA activities across the Agile lifecycle.
Support the implementation and expansion of automated test coverage in CI/CD pipelines.
Perform regression, functional, UI, and API testing as required.
Contribute to performance and security validation processes.
Generate detailed test execution reports and release readiness summaries.
Requirements
5+ years of experience in QA or test automation
Ability to design, implement, and manage automated testing solutions in complex environments.
Strong proficiency with tools such as Playwright, Selenium, Postman, Cypress and JMeter, Gatling or Artillery.
Deep understanding of testing messy monoliths and microservices architectures, APIs, and mobile applications.
Experience integrating testing into CI/CD pipelines (GitHub Actions, Jenkins, or equivalent).
Proficiency in AWS or similar cloud environments.
Demonstrated leadership in scaling QA functions across multiple delivery teams.
Strong analytical, problem-solving, and stakeholder communication skills.
Fintech or regulated industry experience preferred.
Please note, candidates will need to have the right to work in the
jurisdiction that they are looking to work in.
We are an equal opportunities employer committed to creating an inclusive work environment. As a growing global startup, we value agility and flexibility in our working culture. If you
require any accommodations during the recruitment process, please let us know.
Location: New York City Metropolitan Area; New Jersey; New York; Manhattan, New York; Massachusetts; Connecticut; Brooklyn, New York
Workplace: remote
About us
At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems.
Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.
Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented.
Autonomous. You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket.
Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack.
Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name.
We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name.
What you’ll do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it.
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously.
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it.
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice.
What we look for:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way.
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly.
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why.
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits.
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room.
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job.
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses).
Nice to have:
Containers and orchestration (Kubernetes/ECS) and CI/CD in production.
IaC depth: AWS CDK, CloudFormation, Terraform.
Open-source contributions or public writing on applied AI.
What we offer:
Full-time.
On-site visits to client’s facilities and our office in NYC 1/week
Unlimited Vacation policy.
Generous health, vision, and dental insurance.
401(K) matching plan.
Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.
*No Visa sponsorship
We’re real
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team.
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates.
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO.
How we hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
Soft skills interview.
Offer discussion.
Location: USA
Workplace: Remote
Remote, worldwide · Freelance course project with a path to full-time
We’re hiring on behalf of a global hands-on tech-education platform used by over a million engineers to learn DevOps, cloud, Kubernetes and AI. Its courses are built around real labs, not slides, and taught by practising engineers who are great on camera.
We’re looking for a machine learning practitioner who loves teaching to create and present ML courses for engineers, from foundations to training their own models.
This role suits you if you already teach as part of what you do: you’ve published courses on Udemy, Pluralsight, Coursera or YouTube, written a book, taught at a university or bootcamp, or regularly run workshops and talks.
How it works
- It starts with one paid course project. You can do it alongside your current job. There’s no fixed weekly-hour requirement, just a delivery plan you agree on together. A typical project takes around 3 months.
- The goal is long-term. The team is growing its internal trainer pool, and the first project is how both sides find out if it’s a fit. After that, it can lead to a full-time role or more course projects.
- A fixed fee per course is agreed upfront, based on course length and topic complexity. Fees are competitive, and advanced topics and exceptional instructors are paid accordingly. Payment is made on delivery of the completed course.
- Fully remote with flexible hours. Expect a weekly sync, Slack communication, and some time-zone overlap with a Europe/Asia-based team.
What you’ll do
- Shape the course with the curriculum team: sections, lessons, labs and notebooks.
- Write lab specs that a dedicated labs team builds, then test them.
- Write and narrate short, story-driven video lessons (about 6 minutes each) that make ML intuitive. You’re welcome to use AI to draft, but the final script should sound like you.
- Record demo and lab-solution walkthroughs.
- Work through structured editorial feedback, especially on your first section.
Video editing, animation, lab infrastructure and publishing are all handled by the production team. You focus on the teaching.
What we’re looking for
- Strong, hands-on ML foundations: you’ve trained, evaluated and shipped models yourself (scikit-learn, PyTorch or TensorFlow).
- The ability to explain the “why” behind ML clearly to engineers new to it.
- Excellent spoken and written English. All courses are scripted, narrated and delivered in English, so you need clear, natural, easily understood English and confidence on camera.
- A genuine passion for teaching, shown through courses, tutorials, talks, workshops or mentoring you’ve done because you enjoy it.
- Current with the field and keen to keep learning.
- Clear, engaging spoken English and confidence on camera.
- Openness to an established teaching methodology and to editorial feedback.
Nice to have
- Published online courses, a book, or university/bootcamp teaching experience.
- Experience with fine-tuning, MLOps or deploying models in production.
- Cloud ML certifications (AWS, Azure, GCP, Databricks).
How to apply
Send your CV or LinkedIn profile, plus a link that shows how you teach: a course, a talk, a tutorial or a short video.
Location: USA
Workplace: Remote
SENIOR TECHNICAL TRAINER — AI / DEVOPS
Remote, worldwide · Freelance course project with a path to full-time
We’re hiring on behalf of a global hands-on tech-education platform used by over a million engineers to learn DevOps, cloud, Kubernetes and AI. Its courses are built around real labs, not slides, and taught by practising engineers who are great on camera.
We’re looking for a DevOps engineer who loves teaching to create and present a course on AI for DevOps: how engineers use AI agents and modern AI tooling in real infrastructure work.
This role suits you if you already teach as part of what you do: you’ve published courses on Udemy, Pluralsight or YouTube, written a book, worked in DevRel, run workshops, or regularly speak at meetups and conferences.
How it works
- It starts with one paid course project. You can do it alongside your current job. There’s no fixed weekly-hour requirement, just a delivery plan you agree on together. A typical project takes around 3 months.
- The goal is long-term. The team is growing its internal trainer pool, and the first project is how both sides find out if it’s a fit. After that, it can lead to a full-time role or more course projects.
- A fixed fee per course is agreed upfront, based on course length and topic complexity. Fees are competitive, and advanced topics and exceptional instructors are paid accordingly. Payment is made on delivery of the completed course.
- Fully remote with flexible hours. Expect a weekly sync, Slack communication, and some time-zone overlap with a Europe/Asia-based team.
What you’ll do
- Shape the course with the curriculum team: sections, lessons, and hands-on labs.
- Write lab specs that a dedicated labs team builds, then test them.
- Write and narrate short, story-driven video lessons (about 6 minutes each). You’re welcome to use AI to draft, but the final script should sound like you.
- Record demo and lab-solution walkthroughs.
- Work through structured editorial feedback, especially on your first section.
Video editing, animation, lab infrastructure and publishing are all handled by the production team. You focus on the teaching.
What we’re looking for
- Hands-on DevOps foundations: Linux, containers, Kubernetes, a major cloud, CI/CD, IaC. You build and run infrastructure yourself.
- Real, current use of AI in your engineering work: AI agents, coding assistants, LLM-based automation. Deep AI specialisation isn’t required, but curiosity and staying current are.
- Excellent spoken and written English. All courses are scripted, narrated and delivered in English, so you need clear, natural, easily understood English and confidence on camera.
- A genuine passion for teaching, shown through courses, tutorials, talks, workshops or mentoring you’ve done because you enjoy it.
- The ability to explain complex topics simply, with empathy for beginners.
- Clear, engaging spoken English and confidence on camera.
- Openness to an established teaching methodology and to editorial feedback.
Nice to have
- Published online courses or a book.
- Conference talks, a growing YouTube channel or blog, or community roles (CNCF Ambassador, AWS Community Builder, Microsoft MVP, etc.).
- Kubernetes (CKA/CKAD/CKS, Kubestronaut) or AWS/Azure certifications.
How to apply
Send your CV or LinkedIn profile, plus a link that shows how you teach: a course, a talk, a tutorial or a short video.
Location: Warsaw, Poland
On behalf of
FinTech Client #3
, SD Solutions is looking for a talented
Backend Engineer
This position offers a unique opportunity to work at the intersection of technology, compliance, and data. As a
Senior BE Engineer
, you will take ownership of ensuring the integrity of critical processes - such as Compliance Control, Due Diligence, Legal Automation, and more. You will be responsible for the full lifecycle of these systems, driving both architectural modernization and day-to-day stability. Your work will range from designing new automated capabilities to rigorously refactoring existing flows, deep-diving into complex logic to optimize alerts, and ensuring our production environment remains robust at scale. We are looking for someone who enjoys diversity, wants to understand the "business behind the code," and is eager to replace manual operations with sophisticated, event-driven automation.
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
Responsibilities:
Design & Build
: Lead the design and implementation of backend systems and scalable microservices that ensure regulatory compliance and legal process automation (e.g., IVV, Due Diligence).
Data Integrity & Scale
: Work with large datasets and oversee complex data pipelines, ensuring absolute data integrity across critical financial systems.
Drive Modernization
: Lead engineering modernization efforts, including significant refactoring of legacy code and migration to a modern, distributed architecture to improve system resilience.
Automation & Integration
: Replace manual operations with event-driven automation (Kafka) and maintain robust integrations with third-party providers (Verdata, Salesforce, and more) to support business scale.
Cross-Functional Collaboration
: Collaborate closely with Legal, Compliance, and engineering teams to translate complex regulatory requirements into accurate, high-quality technical solutions.
Requirements:
5+ years of experience in Software Development (Backend focused).
Strong proficiency in
Java
or
Kotlin
in production environments.
System Design
: Experience in building scalable APIs, working with microservices, and understanding distributed systems.
Experience with
AWS
and cloud-based infrastructure.
Ownership Mindset
: We don’t just resolve tickets; we look at the bigger picture, understand the business logic, and take responsibility for the quality of our delivery.
Excellent problem-solving and system design skills.
B.Sc. in Computer Science or equivalent practical experience.
Fluent in English, both written and spoken.
Advantages:
Strong proficiency in
SQL
and experience working with
relational databases
.
Python.
Experience with
Snowflake, Spark, or DBT
.
Experience with Event-Driven Architecture and
Kafka
.
Background in
Fintech
,
Banking
, or
regulatory environments
.
Experience with
AI
development tools like
Cursor
and
Claude Code
.
About the company:
A fintech company that builds point-of-sale financing and consumer credit products for everyday service businesses. Their solution is deployed at thousands of service locations — including auto service centers, dental offices, optical clinics, and veterinary practices — and is managed through a no-fee mobile credit card.
By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy
https://sd-solutions.breezy.hr/privacy-notice
, and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.
Location: United Kingdom; Germany; Italy; Tel Aviv, HQ; France; United Arab Emirates; Switzerland - Zurich
Workplace: Hybrid
ABOUT THE ROLE
Wonderful is looking for a strategic, commercially minded and hands-on Head of Global Hyperscalers Partner Marketing, to build and scale our global marketing partnerships with Microsoft, Amazon Web Services (AWS) and Google Cloud.
This is a critical role as Wonderful continues its rapid global expansion and builds a world-class partner ecosystem to accelerate enterprise AI adoption.
We're looking for someone who can turn strategic hyperscaler relationships into measurable demand generation, stronger market awareness and commercial opportunities across our regions.
You'll work closely with Wonderful's Global Partnerships, Global & Regional Marketing, Product Marketing and GTM teams to develop joint marketing strategies, build executive relationships and create scalable, repeatable partner marketing programs that regional teams can activate locally.
This is not simply a co-marketing or event sponsorship role. We need a strategic builder who can influence partner marketing organisations, secure investment and resources, develop joint go-to-market plans and turn partnerships into a meaningful growth channel for Wonderful.
WHAT YOU'LL DO
1. OWN GLOBAL HYPERSCALER MARKETING STRATEGY
- Develop and execute the global partner marketing strategy for Microsoft, AWS and Google Cloud, aligned with Wonderful's business priorities and regional growth objectives.
- Build annual and quarterly Joint Marketing Plans (JMPs) with each hyperscaler, including shared objectives, priority markets, industries, target accounts, campaigns and investment.
- Establish relationships with global and regional partner marketing leaders, ISV marketing teams, alliance stakeholders and ecosystem decision-makers.
- Position Wonderful as a strategic AI partner within each hyperscaler's ecosystem, creating opportunities for increased visibility, executive engagement and joint market activation.
- Identify and secure partner marketing funding, sponsorship opportunities, co-marketing investments and access to partner programs.
2. BUILD SCALABLE PARTNER DEMAND GENERATION PROGRAMS
Create a global portfolio of repeatable, partner-led demand generation programs that Regional Marketing teams can activate across markets.
Programs could include:
- Joint executive roundtables and AI Leaders events
- Co-hosted webinars and industry-specific thought leadership
- Joint digital campaigns, paid media and content creation
- Customer success stories, case studies and video content
- Industry-focused campaigns across Telco, Financial Services and other priority verticals
Work with Global Field Marketing Programs to build ready-to-activate playbooks, content, campaign assets and measurement frameworks, enabling regional teams to execute consistently while adapting to local market needs.
3. DRIVE REGIONAL PARTNER MARKETING ACTIVATION
- Act as the bridge between Global Hyperscaler Partnerships and Regional Marketing, ensuring joint opportunities translate into meaningful local execution.
- Build strong relationships with Regional Marketing Leaders across EMEA, APAC, LATAM and India
- Create a clear global and regional hyperscaler marketing calendar, giving teams visibility into upcoming partner programs, campaigns and events.
- Enable Regional Marketing teams to leverage local AWS, Microsoft and Google Cloud marketing relationships, communities and customer networks.
- Establish a regular planning and feedback cadence to share best practices, results and opportunities across regions.
4. MAXIMISE GLOBAL HYPERSCALER EVENTS & SPONSORSHIPS
Own the strategic marketing approach to major hyperscaler events and ecosystem opportunities, including:
- AWS re:Invent and AWS Summits
- Microsoft Ignite and Microsoft Frontier Tour
- Google Cloud Next and GCP Summit + Google cloud days Joint executive summits, industry forums and partner ecosystem events
Go beyond traditional sponsorships by developing account-led engagement strategies, securing executive speaking opportunities and building joint campaigns around flagship events.
Ensure Wonderful is involved early in annual partner event and sponsorship planning cycles to secure the most valuable opportunities.
5. BUILD JOINT THOUGHT LEADERSHIP & MARKET CREDIBILITY
Partner with Product Marketing, PR & Communications and the hyperscalers to develop compelling joint narratives around enterprise AI transformation.
- Develop co-branded research, industry reports, white papers and thought leadership content.
- Identify opportunities to showcase Wonderful customer success stories through hyperscaler channels.
- Secure joint executive speaking opportunities, media engagement and content distribution.
- Build industry-specific narratives that demonstrate the business value of Wonderful's AI platform.
- Leverage hyperscaler credibility, distribution channels and communities to strengthen Wonderful's brand presence globally.
WHAT WE'RE LOOKING FOR
- 8+ years of B2B technology marketing experience, including significant experience in hyperscaler, alliance or strategic partner marketing.
- Proven experience working directly with Microsoft, AWS and/or Google Cloud partner marketing organisations.
- Strong understanding of the hyperscaler ecosystem, including ISV programs, co-marketing opportunities, marketplace GTM and partner funding mechanisms.
- Demonstrated success developing and executing global or multi-regional partner marketing strategies.
- Experience building integrated demand generation programs that contribute to enterprise pipeline and revenue.
- Strong understanding of enterprise ABM, executive engagement and complex B2B sales cycles.
- Experience in AI, cloud infrastructure, enterprise software or high-growth SaaS environments is highly desirable.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
- Experience in manual testing for 2+ years, primarily focused on backend, API, and integration testing. - Experience in banking, fintech, or payment systems, including testing loyalty programs, bonuses, cashback, and financial transactions.
Location: Europe/Ukraine
We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.
The future of Web3 starts with you:
Requirements
— Experience: 4+ years of professional experience in software engineering, where the last 2+ years was hands-on experience in the blockchain domain.
— Strong production Golang: you write and ship services in Go, and you are comfortable reading, debugging and patching upstream Go codebases.
— Blockchain Expertise: Extensive experience with Ethereum, including a deep understanding of its protocol, smart contract development, and associated technologies.
— Hands-on experience in developing, deploying, and maintaining smart contracts on EVM chains (Solidity).
— Understanding of L2s and optimistic rollup fundamentals: block derivation from L1, batch submission, state proposals, the withdrawal flow, and forced inclusion.
— Understanding of OP Stack components and architecture.
— Kubernetes and CI/CD: familiarity with Kubernetes for container orchestration and CI/CD tools for deployment automation.
— Monitoring Tools: Familiarity with monitoring tools such as Prometheus and Grafana for performance tracking.
— Cloud Platforms: Familiarity with cloud platforms (preferably AWS) and experience with containerization (Docker) is a strong plus.
Would be a plus:
— Rust at the level of reading and patching code.
— Understanding of fault proofs: dispute games, bisection, FPVM, as well as ZK-based approaches.
— Experience in conducting and successfully passing smart contract security audits.
— Experience in developing blockchain nodes, bridges, indexers, etc.
Responsibilities
— Deploy, upgrade, and operate OP Stack components.
— Set up monitoring and alerting: Prometheus, Grafana, PromQL dashboards, instrumentation of domain metrics (economic, bridge, sequencing).
— Take part in the on-call rotation, drive incident response, and write post-mortems and runbooks.
— Work with the smart contracts, security and product teams on launches, network upgrades and hard fork activations.
— Foster collaboration, knowledge sharing, and professional growth.
— Work closely with cross-functional teams to define project requirements and ensure alignment with business objectives.
— Stay updated on advancements in blockchain technology and Ethereum, and apply new features and best practices to enhance our solutions.
Working terms
Immerse yourself in Crypto & Web3:
Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
Gain unique experience and be part of global transformations.
Drive Innovations:
Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
Modern equipment.
Comfortable working conditions, and an inspiring environment to help you thrive.
24 calendar days of paid leave.
Additional days off for national holidays.
With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!
Let’s Build the Future Together!
WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.
Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our
Candidate Privacy Notice
.
Alliance strategy and governance: Develop multi-year partner plans with shared goals, milestones, and KPIs.
УдалённоСША; We are a remote-first company and work happens across many time-zones - you may be required to occasionally perform duties outside your standard working hours
You’ll design and implement scalable, efficient, and reliable data architectures that support business and analytical needs. You’ll build and maintain data pipelines, ETL processes, and integration solutions for large volumes of structured and unstructured data.
— Развертывание и эксплуатация инфраструктуры для генерации ZK-доказательств в промышленном масштабе. — Управление парком блокчейн-нод (Full nodes, Archive nodes) в различных сетях.
Scala Engineer is responsible for building and optimizing high-performance backend systems that power the data-driven applications. In this role, you will work with modern streaming technologies, distributed processing frameworks, and cloud-native architectures to deliver scalable, reliable, and high-availability solutions.
Location: Monterrey, Mexico; Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.CO, Colombia; Rosario, Remote.LATAM-country
We are looking for a Senior AI Lead who will act as the primary AI consultant within the organization and help shape the vision, roadmap, and execution of AI initiatives. You will work across stakeholders and delivery teams to guide responsible AI adoption and establish a sustainable AI practice.
The AI Practice is focused on building a sustainable AI capability within an enterprise environment and connecting AI initiatives to measurable business impact. It covers strategy, roadmap planning, solution delivery, governance, and adoption enablement across business units.
Serve as the primary AI consultant within the organization to identify opportunities for AI driven innovation
Develop and drive the AI strategy aligned with business goals
Lead the assessment prioritization and roadmap planning of AI initiatives across business units
Collaborate with product owners data scientists engineers and business stakeholders to scope design and deliver AI solutions
Provide guidance on AI technologies frameworks and architectures including LLMs RAG AI agents prompt engineering and MLOps pipelines
Ensure AI projects align with business objectives maintain technical quality and follow ethical AI principles
Mentor AI team members to build internal capabilities and support knowledge sharing
Track AI trends tools and emerging technologies to support continuous improvement and innovation
Manage stakeholder expectations and communicate roadmap progress benefits risks and delivery outcomes
Champion AI adoption through workshops demos and enablement sessions
Define and track KPIs adoption metrics and ROI frameworks for AI initiatives
Establish AI governance frameworks usage policies and guardrails for responsible AI adoption
Guide the evolution toward an Agentic SDLC model across software development workflows
Drive change management activities to support AI augmented and agent orchestrated ways of working
7+ years of experience in AI consulting solution architecture or related roles with leadership responsibilities
Experience with AI and ML technologies including LLMs NLP computer vision conversational AI RAG architectures and MLOps
Experience driving AI initiatives from ideation through design and implementation in enterprise environments
Experience working with clients and executive leadership to translate business needs into AI solutions
Hands on collaboration experience with development teams and data scientists across the AI and ML toolchain including Python PyTorch TensorFlow Jupyter Git and CI/CD pipelines
Understanding of AI ethics data privacy and responsible AI principles
Experience designing and delivering AI training enablement programs or internal advocacy initiatives that drive measurable adoption
Familiarity with AI governance frameworks and organizational policy development for responsible AI use
Understanding of Agentic SDLC methodologies and AI native delivery practices
Advanced degree in Computer Science AI Data Science or a related field or equivalent professional experience
Experience with cloud AI platforms such as AWS SageMaker Bedrock and Amazon Q Developer
Experience with cloud AI platforms such as Azure OpenAI Service Azure AI Studio and Cognitive Services
Experience with cloud AI platforms such as Google Cloud Vertex AI Gemini API and Document AI
Experience with AI lifecycle management and MLOps platforms such as MLflow Kubeflow Weights & Biases and SageMaker Pipelines
Experience with AI orchestration and agent frameworks such as LangChain LangGraph CrewAI AutoGen Semantic Kernel and Haystack
Familiarity with vector databases and retrieval infrastructure such as Pinecone Weaviate Chroma Qdrant pgvector and Elasticsearch with kNN
Location: Warsaw, Poland; Pakistan; Bulgaria
Top 3 Reasons To Join Us
Competitive Salary
International Environment
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
About the Role
As the Lead Full Stack Engineer, you will take on a pivotal role in guiding the design, implementation, and maintenance of our innovative SaaS platform. You will provide technical direction to the team, working across both front-end and back-end technologies, ensuring scalable and efficient software solutions. Collaborate closely with cross-functional teams to understand end-user requirements, optimize application performance, and enforce best coding practices. Your role will encompass mentoring junior developers, driving innovation, and ensuring the continuous growth and success of our platform.
What You Will Do
Lead the design, implementation, and maintenance of our insurance enterprise software solutions, providing technical direction to the team.
Demonstrate expertise in both front-end and back-end technologies, offering guidance on technology selection, architecture, and best practices.
Collaborate with product, design, and engineering teams to understand requirements and technical concepts, ensuring cohesive and effective solutions with a seamless user experience.
Optimize platform performance to handle large datasets and high user traffic, ensuring a smooth and responsive user experience.
Conduct and lead code reviews, enforce best coding practices, and drive the adoption of standards to maintain high code quality.
Investigate and promptly address bugs to uphold platform reliability.
Ensure security and compliance by following best practices for securing web applications and adhering to relevant regulations.
Stay abreast of the latest technologies, frameworks, and best practices, guiding the team in remaining competitive and innovative.
Design the platform with scalability and flexibility, accommodating evolving features and changes as the user base grows.
Provide mentorship and technical leadership to junior developers, fostering their growth and contribution to the team's objectives.
What We Need
Proven experience of 8+ years as a Full Stack Engineer, with a track record of leading complex SaaS applications.
Minimum 2 years in a lead/manager role, able to guide and ensure development of teams
Strong technical background with proficiency in back-end technologies, such as .NET Core, C#, GraphQL, MongoDB, Docker
Proficiency in front-end technologies such as Javascript, Vue.js and/or React.js
Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable applications
Experience with microservices and/or clean architecture
Thorough understanding and practical experience with Test-Driven Development (TDD) to ensure robust and well-tested code
Experience with unit, integration and function testing using front-end and back-end testing libraries
Proficiency in Domain-Driven Design (DDD) principles to create a maintainable and modular architecture that aligns with business domains
In-depth knowledge of web security best practices and experience in ensuring compliance with industry regulations
Demonstrated experience in performance optimization for high-traffic web applications
Experience with container technologies like docker and good understanding of cloud infrastructure and solutions.
Experience with agile development methodologies and collaborating with cross-functional teams
Excellent problem-solving skills and a proactive approach to troubleshooting and bug fixing
Strong communication skills to effectively interact with both technical and non-technical team members with diverse backgrounds
A passion for staying updated with the latest trends, technologies, and best practices in software development
Why You'll Love Working Here
International Environment
Competitive remuneration package
15 Days Annual Leave
Annual Performance Bonus
Stock Options after 6 months
Company activities and events
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Проектирование и разработка control-plane компонентов платформы на Python/Go: API эндпоинтов, сервисов управления состояниями, планировщиков асинхронных операций. Разработка и поддержка агентов автоматизации жизненного цикла бэкапов PostgreSQL-кластеров:
Location: Montréal
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Chez nous, le jeu, c’est du sérieux. Nous recherchons des aventurières et aventuriers curieux, prêts à trouver leur groupe, animés par l’imagination et la détermination de créer ce qui n’a encore jamais été créé. Chez Hasbro et Wizards of the Coast, vous collaborerez avec des équipes passionnées pour réinventer nos marques emblématiques et créer des expériences qui suscitent la joie, les liens et le sentiment de communauté grâce à la magie du jeu. Voici votre chance de façonner un jeu légendaire qui dure toute une vie.
Aperçu du poste
Nous construisons quelque chose de nouveau au sein de notre AI Studio, et nous recherchons un ingénieur ou une ingénieure DevOps pour nous aider à le façonner. Ce poste se situe au cœur d’un secteur d’activité nouveau et en constante évolution. Les problèmes sont encore en train de prendre forme, et les systèmes sont activement en cours de conception. Ce qui nous enthousiasme, c’est la possibilité de repousser les limites de ce que peuvent être les histoires et les personnages, et d’utiliser la technologie de la propriété intellectuelle (PI).
Nous nous concentrons sur la création des systèmes de base qui transforment des personnages et des univers, que le public regarde, en quelque chose avec lequel il peut interagir au fil du temps.
Ce poste assure le bon fonctionnement de la plateforme et rend sa mise en production sûre. En travaillant aux côtés des ingénieurs et ingénieures séniors de l’équipe de la plateforme, le ou la titulaire du poste contribuera à concevoir et à maintenir les pipelines, les environnements et l’infrastructure de production qui soutiennent notre plateforme de personnages : les API, les outils d’administration et les expériences vocales en temps réel sur lesquels s’appuient nos partenaires. Le succès dans ce rôle se traduit par des déploiements rapides, sans surprise et réversibles, ainsi que par un environnement de production qui demeure en santé à mesure que de nouveaux partenaires se joignent à la plateforme.
La plateforme est déjà en production; la première tâche consiste donc à renforcer ce que nous avons : améliorer la manière dont les versions parviennent en production, placer des alarmes en amont de chaque déploiement et s’assurer que les migrations de bases de données ne causent jamais de mauvaises surprises. Avec le temps, vous assumerez une plus grande responsabilité à l’égard de l’infrastructure à mesure que la plateforme s’étendra à de nouveaux partenaires, à de nouveaux environnements et à de nouveaux modes d’interaction, et nous accueillons avec plaisir les candidates et candidats qui apportent l’expérience acquise au fil de parcours variés. Au moment du déploiement, l’objectif est que personne n’ait à retenir son souffle.
Lieu et modalités de travail
Ce poste est basé à notre bureau de Montréal, au Québec (Canada), et suit un horaire hybride conçu pour favoriser la collaboration en personne. Les membres du personnel sont tenus de travailler sur place les mardis, mercredis et jeudis, avec la souplesse de travailler à distance ou sur place les lundis et vendredis.
Vos responsabilités
Intégration continue et livraison continue (CI/CD), y compris la construction d’images de conteneurs, la mise en cache, les points de contrôle de tests et la promotion du développement vers la production en passant par la préproduction.
Contribuer à la mise en œuvre de notre stratégie de déploiement pour les services conteneurisés, y compris les vérifications de l’état de santé et le retour arrière automatique lorsque des alarmes se déclenchent.
Maintenir et faire évoluer notre infrastructure infonuagique en tant que code sur plusieurs comptes AWS, des services de conteneurs et des bases de données gérées jusqu’à la mise en cache, la diffusion de contenu et la sécurité réseau.
Concevoir et ajuster la surveillance et les alertes afin que les problèmes soient détectés avant qu’un partenaire ne les remarque.
Assurer la rigueur de la gestion des accès et des secrets grâce à des autorisations selon le principe du moindre privilège, à des identifiants CI de courte durée et à des secrets gérés, à l’appui de nos engagements en matière d’IA responsable et de traitement des données.
Soutenir la gestion des environnements et les outils pour les personnes développeuses afin de permettre aux ingénieurs et ingénieures de livrer plus facilement des changements de façon autonome.
Ce que vous apportez
Ingénierie de la fiabilité des sites (SRE) : exploitation de systèmes de production sur AWS dont dépendent de vrais utilisateurs et utilisatrices.
Expérience pratique de l’infrastructure en tant que code (AWS Cloud Development Kit (CDK)). Vous accordez aux modifications d’infrastructure le même soin qu’aux modifications de code.
Expérience de la conception et de la maintenance de pipelines CI/CD pour des services conteneurisés. La connaissance de GitLab CI est un atout.
Connaissance pratique d’Elastic Container Service (ECS) et familiarité avec les nuages privés virtuels (VPC).
Connaissance pratique de Python ou de TypeScript pour l’écriture de scripts et l’automatisation.
Expérience de l’utilisation d’outils de surveillance, de journalisation et d’alertes.
Aisance dans un environnement en évolution rapide où les processus sont encore en cours d’élaboration, y compris la contribution à la documentation des guides d’exploitation.
Une maîtrise professionnelle du français et de l’anglais est exigée pour ce poste. L’anglais est nécessaire pour communiquer et collaborer régulièrement avec des collègues et des leaders établis aux États-Unis, qui travaillent principalement en anglais.
Ce qui vous distingue
Expérience des déploiements sans interruption de service, y compris le retour arrière automatisé.
Expérience de l’instrumentation avec Datadog ou OpenTelemetry.
Communication Web en temps réel (WebRTC)
Exploitation de PostgreSQL : migrations, sauvegardes et optimisation des performances, idéalement sur AWS Aurora.
Qui nous sommes
Nous sommes une équipe de créatrices et créateurs, de conteuses et conteurs et d’innovatrices et innovateurs réunis au sein de la famille Hasbro, qui regroupe des marques adorées, des studios de jeux numériques AAA et des expériences immersives qui stimulent l’imagination de toutes les générations. Ensemble, nous nous engageons à cultiver une culture fondée sur la créativité, l’excellence, la curiosité et l’inclusion, où chaque membre du personnel est habilité à penser avec audace, à agir avec intégrité et à faire naître la joie pour tous et toutes.
Hasbro
À propos de l’entreprise – Hasbro
Wizards of the Coast
Qui nous sommes – Wizards of the Coast
Égalité des chances
Hasbro s’engage à assurer l’égalité des chances dans tous les aspects de l’emploi. Nous nous engageons à prendre toutes nos décisions en matière d’emploi sans égard à la race, à la couleur, à la religion, au sexe, à l’orientation sexuelle, à l’identité ou à l’expression de genre, à l’origine nationale, à l’âge, à l’état civil ou à tout autre motif protégé par la loi.
Mesures d’adaptation
Si vous avez un handicap et avez besoin de mesures d’adaptation raisonnables pendant le processus d’embauche, veuillez en informer votre recruteur ou recruteuse en tout temps au cours du processus.
Avis concernant l’utilisation de l’IA par Hasbro dans le processus de recrutement
Nous utilisons l’outil Talent Matching de Greenhouse, propulsé par l’IA, pour comparer votre candidature aux exigences du poste.
Fonctionnement : Talent Matching compare les renseignements de votre curriculum vitæ et de vos réponses de candidature à des critères liés au poste, établis et pondérés par les équipes de recrutement et d’embauche de Hasbro. Selon le poste, ces critères peuvent comprendre les compétences pertinentes, l’expérience de travail, les titres de postes antérieurs et l’expérience dans le secteur. L’outil attribue ensuite une catégorie de correspondance afin de faciliter l’organisation des candidatures en vue de leur examen.
Supervision humaine : Talent Matching appuie l’examen humain, mais ne le remplace pas. L’outil ne fait pas progresser ni ne rejette automatiquement des candidatures et ne prend aucune décision d’embauche. Les recruteurs et recruteuses ainsi que les gestionnaires d’embauche de Hasbro examinent les candidatures et demeurent responsables de toutes les décisions d’embauche.
Greenhouse a publié les résultats d’un audit indépendant des biais de Talent Matching.
Consulter les résultats de l’audit de Greenhouse Talent Matching
.
#StudiosWizards
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Montréal
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Job Overview
We’re building something new inside our AI Studio, and we’re looking for a DevOps Engineer to help shape it with us. This role sits at the center of a new and constantly evolving business area. The problems are still taking shape, and the systems are actively being built. What excites us is the opportunity to push the boundaries of what stories and characters can be and to use technology intellectual property (IP).
Our focus is on building the core systems that turn characters and worlds from something audiences watch into something they can interact with over time.
This role keeps the platform running and makes shipping it safe. Working alongside senior engineers on the platform team, this DevOps Engineer will help build and maintain the pipelines, environments, and production infrastructure behind our character platform: the APIs, admin tooling, and real-time voice experiences that partners build on. Success here means deploys that are fast, boring, and reversible, and a production environment that stays healthy as more partners go live.
The platform is already in production, so the first job is helping make what we have more robust: improving how releases reach production, putting alarms in front of every deploy, and making sure database migrations never surprise anyone. Over time, you’ll take on more ownership of the infrastructure as the platform grows into new partners, environments, and interaction modes, and we welcome candidates who bring their experience from a variety of paths. When it’s time to roll out, the goal is that nobody has to hold their breath.
Location and Work Arrangement
This role is based at our Montreal, Quebec, Canada office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Continuous Integration and Continuous Delivery (CI/CD), including container image builds, caching, test gates, and promotion from development through staging to production.
Help implement our deployment strategy for containerized services, including health checks and automatic rollback when alarms fire.
Maintain and extend our cloud infrastructure as code across multiple AWS accounts, from container services and managed databases to caching, content delivery, and network security.
Build and tune monitoring and alerts so problems surface before a partner notices them.
Keep access and secrets tight with least-privilege permissions, short-lived CI credentials, and managed secrets, in support of our responsible AI and data-handling commitments.
Support environment management and developer tooling that make it easier for engineers to ship changes on their own.
What You'll Bring
Site Reliability Engineering (SRE), running production systems on AWS that real users depend on.
Hands-on infrastructure-as-code experience (AWS Cloud Development Kit (CDK)). You treat infrastructure changes with the same care as code changes.
Experience building and maintaining CI/CD pipelines for containerized services. GitLab CI is a plus.
Working knowledge of Elastic Container Service (ECS), and familiarity with Virtual Private Clouds (VPCs).
Working knowledge of Python or TypeScript for scripting and automation.
Experience working with monitoring, logging, and alerting tools.
Comfort in a fast-moving environment where processes are still being built, including helping document runbooks.
Professional proficiency in French and English is required for this role. English is necessary to communicate and collaborate regularly with colleagues and leaders based in the United States who primarily work in English.
What Sets You Apart
Experience with zero-downtime deployments, including automated rollback.
Datadog or OpenTelemetry instrumentation experience.
Web Real-Time Communication (WebRTC)
PostgreSQL operations: migrations, backups, and performance tuning, ideally on AWS Aurora.
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbro’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
#StudiosWizards
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
УдалённоNew York City Metropolitan Area; New Jersey; New York; Manhattan, New York; Massachusetts; Connecticut; Brooklyn, New York
УдалённоseniorUSA; Expect a weekly sync, Slack communication, and some time-zone overlap with a Europe/Asia-based team
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.