Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for an Engineering Manager to lead our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms.
This is a foundational role: you'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes analytics capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly. As model capabilities and usage grow, you'll also drive how we scale review through automation — building systems where Claude meaningfully extends what human reviewers can do, while keeping people in the loop where their judgment matters most.
You'll partner closely with policy, operations, data science, and legal teams to ensure our enforcement systems are effective, accurate, and trustworthy.
Key responsibilities
Lead, grow, and develop a team of engineers building investigation, review, and enforcement tooling for both first-party and third-party platform surfaces
Define the vision and roadmap for our review tooling platform, including analytics, privacy-compatible data access primitives, and a sandbox for rapidly developing new review interfaces
Drive the team's strategy for scaling review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows
Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems
Ensure review tooling evolves alongside new privacy primitives and data retention commitments, so reviewers can do their work without compromising user trust
Create clarity for the team and stakeholders in an ambiguous and evolving environment
Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing team
Contribute to engineering-wide initiatives as a member of Anthropic's engineering management community
Minimum qualifications
Experience managing software engineering teams, including hiring, coaching, and developing engineers
A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions
Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably
Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams
Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders
Care about the societal impacts of AI and want your work to make powerful systems safer
Preferred qualifications
4+ years of management experience, 10+ years of industry software engineering experience
Experience building trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale
Experience designing systems under strict privacy, compliance, or data governance constraints, such as zero data retention environments
Experience integrating LLMs or agentic systems into operational workflows, or building human-in-the-loop automation
Experience building developer platforms or extensible tooling frameworks that other teams build on top of
Experience supporting enforcement or moderation systems across multiple product surfaces, including enterprise or cloud platform contexts
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
- Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.
- Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.
- Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in London, embedding AI agents across their entire business stack to drive innovation and efficiency.
- Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.
EXAMPLE PROJECTS
These are some examples of projects that engineers on our team have worked on recently:
- Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn
- Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations
- Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services!
- Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development
- Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers
WHAT YOU'LL BRING
- Experience building and scaling end-to-end production systems
- Strong technical problem-solving skills, especially in fast-changing, ambiguous environments
- A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship
- Comfort working directly with customers to understand their needs and solve real-world problems
- Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences
EVEN BETTER...
- Experience building or deploying AI/LLM systems in production
- Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed
- Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering
- Prior experience with React, TypeScript, and/or Go
- Previous roles where you interfaced with customers or led technical projects with external stakeholders
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team
The Growth & Monetization team focuses on how developers discover, adopt, and scale with LangChain’s products. We work across the full stack to improve onboarding, activation, and usage while building the systems that power billing, pricing, and monetization. This team partners closely with product, design, and go-to-market teams to understand developer behavior and translate those insights into product improvements that drive adoption and revenue. Our work directly shapes how developers and organizations move from experimentation to production on the LangChain platform.
About the role
LangChain is hiring a Senior Fullstack Engineer to build the foundational product features and integrations that power user acquisition, rapid experimentation, and self-serve expansion. This is a high-impact 0→1 role on a newly formed team responsible for building growth systems from the ground up. You’ll work closely with product, design, GTM, and analytics to streamline activation, optimize packaging, and deliver a seamless growth story for developers and enterprise customers alike. This role will be in person 5 days/week in New York City.
What you'll do
- Lead projects across our stack (React, TypeScript) while working with backend APIs (Python, Go)
- Build polished, responsive user interfaces for onboarding, self-serve upgrades, and usage dashboards that delight users
- Design and execute rapid, client-side UI experiments (A/B tests, feature flags) targeting key activation and conversion metrics
- Partner with Product and Design to translate complex user journeys into simple, intuitive web experiences
- Implement clean client-side event tracking and behavioral analytics to understand developer journeys
- Build growth levers, including smart upgrade triggers, usage notifications and personalized, contextual experiences
What you'll bring
- Strong mastery of modern frontend development (React, TypeScript, CSS/Tailwind)
- Solid fullstack fundamentals (working with REST/GraphQL APIs, Python/Go backends, database querying and caching)
- Exceptional UX intuition and a sharp eye for visual polish, micro-interactions, and developer-focused user journeys
- Experience building or optimizing frontend growth engines (e.g., onboarding wizards, conversion funnels, checkout flows, A/B testing frameworks, usage metering, subscriptions)
- Startup DNA with a desire to ship fast, iterate based on user data, self-directed and take end-to-end ownership
- Bonus: Experience building tools for developers, PLG SaaS platforms, or design systems
- Bonus: Familiarity with LLMs, GenAI applications, or agentic frameworks
Compensation
- Salary Range: $165,000-$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
Global payments are complex and ever-evolving. At Checkout our software engineers develop the next-generation payments technologies that enable our Merchants to boost their acceptance rates, cut processing costs, fight fraud, and create cutting edge technology that enables extraordinary customer experiences.
We're looking for Software engineers who bring fresh ideas, have a curious nature and are passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. You’ll get to work with teams from across Checkout.com http://Checkout.com’s portfolio of products and services who all have a real customer first philosophy.
As a Software engineer, you will lead and drive specific projects critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display exceptional leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will lead project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
What are we looking for:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Proficiency in C# .NET, Java, or Go, with a strong understanding of software development principles in either a backend or full stack environment.
- Great communication skills and ability to interact effectively with a wide range of stakeholders
- Experience working in agile environments and delivering high-quality code within tight deadlines
- Excellent problem-solving skills and the ability to work independently as well as part of a team
- Someone who is AI proficient or AI curious, you will be hungry to embrace what the latest technology has to offer to enhance yours and your teams productivity
- Payments or financial knowledge is a plus, but not a necessity
How you’ll make an impact:
- Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community.
- Define and design loosely coupled, scalable systems in a wider microservices using industry best practices.
- Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout.
- Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems.
- Build, own and operate your systems to the highest levels of resilience and service.
- Mentor junior team members and assist in their technical development
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Ukraine
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For:
We are looking for an
AI Software Engineer
to design, build, evaluate, and operate AI-powered capabilities within the Creatio platform. This is an AI-first engineering role: you will spend most of your time designing agents, engineering prompts and context, building retrieval and evaluation pipelines, and directing AI coding agents - with solid .NET engineering as the foundation rather than the whole job.
You will join the AI teams building the
agent platform
that enables AI agents to safely perform real work in the product: call tools and APIs, read and write data, maintain context and memory, follow permissions, and escalate to humans when needed.
The team also owns the core infrastructure for evaluation, monitoring, logging, observability, and cost/performance control, ensuring AI agents are reliable, scalable, secure, and production-ready.
This role combines strong software engineering expertise with hands-on AI engineering experience. You will work on enterprise-grade AI solutions, including assistants, copilots, knowledge systems, semantic search, RAG-based capabilities, and agentic workflows - and you will use AI coding agents as your primary daily development workflow.
Responsibilities:
Design and implement AI-powered product features within the Creatio platform: assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search.
Design agent architectures - tools, memory and context strategy, orchestration, permissions, guardrails, and human-in-the-loop escalation - and choose the right pattern for each problem (single LLM call vs. tool-using agent vs. multi-agent).
Engineer prompts, system instructions, and agent context as first-class artifacts: versioned, reviewed, and covered by evaluations.
Integrate LLM providers, MCP servers and tools, enterprise data sources, embedding pipelines, and vector/hybrid search into the platform.
Build evaluation datasets, offline and online evals, quality gates, and observability (tracing, logging, drift detection) for AI capabilities.
Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities in production, including prompt and model updates.
Identify and mitigate AI-specific risks: prompt injection, data exfiltration through tools, hallucinations, over-permissioned agents, and sensitive-data leakage.
Develop and maintain backend services using C# and .NET.
Use AI coding assistants and engineering agents as the default development workflow; critically review and verify agent output; contribute reusable rules, skills, and prompts to the team.
Follow the AI landscape closely and bring new models, tools, and patterns to the team.
Requirements:
Must have:
Hands-on experience shipping LLM-based features to production: prompt engineering, function/tool calling, structured outputs, context-window and cost management.
Practical understanding of agent architectures (tool loops, planner/executor, multi-agent, human-in-the-loop), MCP, and at least one agent framework or SDK.
Working knowledge of RAG: chunking, embeddings, vector and hybrid search, re-ranking, grounding and citations, and common failure modes.
Experience with AI evaluation (datasets, offline evals, LLM-as-judge), LLM observability and tracing, and AI security (prompt injection, OWASP Top 10 for LLM Applications, Responsible AI practices).
Daily proficiency with AI coding agents: the ability to direct, review, and verify agent output rather than only write code by hand.
Solid experience with C# and .NET, API design, distributed systems, and software architecture.
Experience with SQL databases, automated testing, CI/CD, and cloud-native development; Docker and basic Kubernetes.
Strong knowledge of engineering best practices and production-grade software development.
Nice to have:
Python for prototyping, data work, and evaluation scripting.
Hands-on experience with a major AI platform (Anthropic API, Azure OpenAI, AWS Bedrock, Google Vertex AI).
Experience building agent-facing tools or MCP servers.
LLMOps practices: prompt and model versioning, evaluation gates in CI/CD, canary rollouts of prompt changes.
Fine-tuning, distillation, or adapter-based model customization.
Experience with Creatio or other low-code CRM platforms.
What to expect from us:
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Poland
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For
We are looking for an
AI Software Engineer
to design, build, evaluate, and operate AI-powered capabilities within the Creatio platform.
You will join the AI teams building the
agent platform
that enables AI agents to safely perform real work in the product: call tools and APIs, read and write data, maintain context, follow permissions, and escalate to humans when needed.
The team also owns the core infrastructure for testing, monitoring, logging, observability, and cost/performance control, ensuring AI agents are reliable, scalable, secure, and production-ready.
This role combines strong software engineering expertise with hands-on AI engineering experience. You will work on enterprise-grade AI solutions, including assistants, copilots, knowledge systems, semantic search, RAG-based capabilities, and agentic workflows.
Responsibilities:
Design and implement AI-powered product features within the Creatio platform: assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search.
Design agent architectures - tools, memory and context strategy, orchestration, permissions, guardrails, and human-in-the-loop escalation - and choose the right pattern for each problem (single LLM call vs. tool-using agent vs. multi-agent).
Engineer prompts, system instructions, and agent context as first-class artifacts: versioned, reviewed, and covered by evaluations.
Integrate LLM providers, MCP servers and tools, enterprise data sources, embedding pipelines, and vector/hybrid search into the platform.
Build evaluation datasets, offline and online evals, quality gates, and observability (tracing, logging, drift detection) for AI capabilities.
Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities in production, including prompt and model updates.
Identify and mitigate AI-specific risks: prompt injection, data exfiltration through tools, hallucinations, over-permissioned agents, and sensitive-data leakage.
Develop and maintain backend services using C# and .NET.
Use AI coding assistants and engineering agents as the default development workflow; critically review and verify agent output; contribute reusable rules, skills, and prompts to the team.
Follow the AI landscape closely and bring new models, tools, and patterns to the team.
Requirements:
Must have:
Hands-on experience shipping LLM-based features to production: prompt engineering, function/tool calling, structured outputs, context-window and cost management.
Practical understanding of agent architectures (tool loops, planner/executor, multi-agent, human-in-the-loop), MCP, and at least one agent framework or SDK.
Working knowledge of RAG: chunking, embeddings, vector and hybrid search, re-ranking, grounding and citations, and common failure modes.
Experience with AI evaluation (datasets, offline evals, LLM-as-judge), LLM observability and tracing, and AI security (prompt injection, OWASP Top 10 for LLM Applications, Responsible AI practices).
Daily proficiency with AI coding agents: the ability to direct, review, and verify agent output rather than only write code by hand.
Solid experience with C# and .NET, API design, distributed systems, and software architecture.
Experience with SQL databases, automated testing, CI/CD, and cloud-native development; Docker and basic Kubernetes.
Strong knowledge of engineering best practices and production-grade software development.
Nice to have:
Python for prototyping, data work, and evaluation scripting.
Hands-on experience with a major AI platform (Anthropic API, Azure OpenAI, AWS Bedrock, Google Vertex AI).
Experience building agent-facing tools or MCP servers.
LLMOps practices: prompt and model versioning, evaluation gates in CI/CD, canary rollouts of prompt changes.
Fine-tuning, distillation, or adapter-based model customization.
Experience with Creatio or other low-code CRM platforms.
What to expect from us:
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Задачи:
— поддержка, развитие и оптимизация существующих проектов;
— разработка новой функциональности и улучшение имеющейся;
— взаимодействие с frontend-разработчиком (фронт на React и Angular).
Требования:
— хорошие знания Python;
— хорошие знания Django или Fastapi;
— знание принципов SOLID и ООП;
— навык работы с Git;
— умение разбираться в чужом коде;
— опыт разработки в коммерческих проектах.
Плюсом:
— опыт с MongoDB или PostgreSQL;
— опыт работы с Docker;
— навыки работы с Kafka, Redis;
— понимание принципов CI;
— понимание и опыт работы с асинхронным кодом.
Условия:
— официальное трудоустройство по ТК РФ с 1-го дня;
— испытательный срок 1 месяц;
— полностью белая зарплата;
— график пн-пт, 10:00–19:00;
— оборудованное рабочее место, кухня, чай/кофе.
Задачи:
— Работа над мобильным многопользовательским шутером WELTKRIEG 1: Firestorm
Требования по DevOps:
— уверенное пользование Linux на уровне администратора
— опыт решения инцидентов и поиска уязвимостей
— знания модели OSI и понимание работы сетевого трафика
— опыт работы с сервисами на уровне TCP/UDP приветствуется
— уверенные знания Docker и Docker Compose
— понимание работы Kubernetes (k3s, k8s, k0s и др.), опыт работы приветствуется
— опыт работы с облачными провайдерами (Google Cloud, AWS, Yandex Cloud, Timeweb, Selectel и др.)
— опыт работы с CI/CD: GitHub Workflows, GitLab CI/CD, Jenkins
— умение работать с консольным Git
Требования по Unity:
— крепкое понимание Unity
— хорошие знания C#
— опыт сборки Unity-проектов под серверные окружения
— опыт работы с Unity Dedicated Server / headless builds
— опыт работы с сетевым решением Mirror
— понимание особенностей multiplayer разработки
— умение разбираться в логах, профилировать проблемы и находить причины нестабильной работы
— умение писать поддерживаемый, понятный и тестируемый код
Требования по Backend:
— опыт разработки backend сервисов на C# / ASP.NET Core
— понимание REST API и принципов проектирования API
— опыт работы с PostgreSQL, MySQL или другими реляционными базами данных
— понимание авторизации и аутентификации: JWT, OAuth, session-based auth или аналоги
Будет большим плюсом:
— опыт оптимизации серверной нагрузки
— опыт защиты игровых серверов от злоупотреблений, DDoS, читов или нестандартного поведения клиентов
Условия:
— формат: полная занятость
— локация: удалённо
— работа над действующим мобильным multiplayer-проектом
— возможность влиять на технические решения и развитие инфраструктуры проекта
Задачи:
— Ведение миграции устаревших сервисов на современную архитектуру с использованием Node.js.
— Владение backend-компонентами в кросс-функциональной команде для реализации end-to-end функционала.
— Проектирование и реализация REST API на инфраструктуре AWS.
— Мониторинг производственных сервисов для обеспечения высокой производительности, масштабируемости и надежности.
— Сотрудничество с продакт-менеджерами и frontend-инженерами для выпуска качественных функций.
— Использование AI-инструментов и агентных рабочих процессов для максимизации продуктивности разработки.
Требования:
— Свободное владение английским языком (устным и письменным).
— Опыт работы с Node.js и/или Java 21+ (Spring Boot).
— Практический опыт работы с AWS, Docker и Kubernetes.
— Владение PostgreSQL и Elasticsearch.
— Опыт работы с распределенными системами, микросервисами и межсервисным взаимодействием.
— Готовность работать в офисе в Берлине не менее 80% времени.
Плюсы:
— Опыт работы с CI/CD пайплайнами.
— Знакомство с AI-копилотами и агентами LLM.
— Степень бакалавра или магистра в области компьютерных наук или смежных областях.
Условия:
— Визовая поддержка для международных кандидатов.
— 28 дней отпуска плюс дополнительные дни за выслугу и особые случаи.
— Бесплатный обед в офисе и доступ к полностью оборудованному спортзалу.
— Корпоративная пенсионная программа и поддержка психического здоровья через nilo.health.
— Поддержка профессионального развития и культура обратной связи.
— Инициативы по устойчивому развитию через внутреннюю Green команду.
Задачи:
— Ведение миграции устаревших сервисов на современную архитектуру с использованием Node.js.
— Владение backend-компонентами в кросс-функциональной команде для реализации end-to-end функционала.
— Проектирование и реализация REST API на инфраструктуре AWS.
— Мониторинг производственных сервисов для обеспечения высокой производительности, масштабируемости и надежности.
— Сотрудничество с продакт-менеджерами и frontend-инженерами для выпуска качественных функций.
— Использование AI-инструментов и агентных рабочих процессов для максимизации продуктивности разработки.
Требования:
— Свободное владение английским языком (устным и письменным).
— Опыт работы с Node.js и/или Java 21+ (Spring Boot).
— Практический опыт работы с AWS, Docker и Kubernetes.
— Владение PostgreSQL и Elasticsearch.
— Опыт работы с распределенными системами, микросервисами и межсервисным взаимодействием.
— Готовность работать в офисе в Берлине не менее 80% времени.
Плюсы:
— Опыт работы с CI/CD пайплайнами.
— Знакомство с AI-копилотами и агентами LLM.
— Степень бакалавра или магистра в области компьютерных наук или смежных областях.
Условия:
— Визовая поддержка для международных кандидатов.
— 28 дней отпуска плюс дополнительные дни за выслугу и особые случаи.
— Бесплатный обед в офисе и доступ к полностью оборудованному спортзалу.
— Корпоративная пенсионная программа и поддержка психического здоровья через nilo.health.
— Поддержка профессионального развития и культура обратной связи.
— Инициативы по устойчивому развитию через внутреннюю Green команду.
Location: Prague; Cyprus - Remote; Limassol; Belgrade; Serbia - Remote
Workplace: hybrid
We are seeking a highly skilled **Senior Software Engineer** to join our team developing Azul Prime, an award-winning enhanced build of OpenJDK designed for superior application performance, responsiveness, and efficiency. In this role, you will drive the development and optimization of the virtual machine (VM), contributing to garbage collection, HotSpot runtime, compiler runtime, remote compilation, and many other advanced challenges.
What You'll Do
Design, develop, maintain, and optimize high‑performance, low‑level C++ code for system‑critical JVM runtime components and distributed client‑server communication using gRPC, HTTP/2, or HTTP, ensuring minimal overhead, robustness, and reliability at scale.
Lead the delivery of complex technical projects — from design through production — taking ownership of outcomes and navigating ambiguity under real time and resource constraints.
Contribute to the technical direction of the team: participate in design discussions, challenge and pressure-test technical approaches, and ensure robust solutions through constructive peer review.
Collaborate across teams — represent the team's technical interests in cross-team initiatives and contribute as a peer in design and direction discussions with partner engineering groups.
Mentor junior engineers, sharing expertise through reviews, pairing, and practical guidance that raises the quality bar across the team.
Explore and adopt AI-first workflows — proactively identifying where AI tools can enhance productivity, code quality, and development processes, and helping teammates adopt effective practices.
Perform detailed debugging, profiling, and root-cause analysis of complex software issues.
Develop comprehensive tests to ensure high quality and demonstrate performance improvements.
Wha you'll Need
Bachelor's degree in Computer Science or a related field, and a minimum of 5 years of experience writing low‑level, high‑performance C++ code.
Solid knowledge of VM and compiler runtime design and implementation; familiarity with JVM internals is highly desirable.
Demonstrated ability to independently lead and deliver complex technical projects on time, managing competing priorities and technical uncertainty.
Experience mentoring engineers and contributing to a team's technical culture and practices.
Strong proficiency with low‑level programming concepts — memory management, pointers, concurrency, and multithreading.
Experience using debuggers, profilers, and performance analysis tools to investigate and resolve complex problems.
Understanding of hardware architectures (e.g. x86, ARM), operating system internals (e.g. Linux, macOS), and languages such as Java or Rust is an advantage.
We Offer
Referral Program — help us grow with great people.
Premium IT equipment — MacBook Pro or hardware of your choice.
5 weeks of holidays + 5 sick days.
Flexible working hours; full remote possible.
Prague/Limassol/Belgrade city center offices. Hybrid or full-remote also possible.
Work alongside top experts worldwide contributing to the Java ecosystem.
Employment at Azul is contingent upon the completion of reference and background checks.
Architecture & Design — Lead the design and implementation of core protocol components, from initial prototypes to production-grade deployment.
Protocol Development — Develop and optimize data structures, consensus algorithms, and cryptographic implementations (e.g., zero-knowledge proofs).
Security & Verification — Identify attack vectors, failure modes, and performance bottlenecks; apply formal verification or simulation to validate designs.
Cross-Functional Collaboration — Partner with researchers, product managers, and security teams to translate roadmaps into precise technical specifications.
Mentorship & Quality — Drive code quality through design reviews, documentation, and technical leadership; mentor junior engineers.
Technical Skills
Advanced proficiency in systems-level languages used in blockchain (Rust, Go) and smart contract languages (Solidity).
Demonstrated track record of open-source contributions in the Web3 ecosystem.
Domain Knowledge
Strong background in distributed systems, peer-to-peer networking, and modern blockchain primitives (rollup technologies, account abstraction).
Up-to-date with rapidly evolving standards such as Ethereum upgrades and inter-blockchain communication protocols.
Problem-Solving
Proven ability to debug complex issues across network and application layers.
Experience making high-level architectural tradeoffs across performance, scalability, and security.
Communication
Ability to document system improvements and communicate technical concepts to both technical and non-technical stakeholders.
Fluency in English, and Korean proficiency would be a plus.
Hiring Process
Resume Screening → 1st Interview → 2nd Interview → Salary Negotiation
Contract Type
Singapore: Full-time Employee (Onsite)
Worldwide: Service Contractor (Fully Remote)
Задачи:
• Интегрировать новые блокчейны, монеты и токены.
• Поддерживать форки и обновления существующих сетей.
• Формировать, подписывать и отправлять raw transactions.
• Работать с EVM и non-EVM сетями (Bitcoin, Ethereum, TON, Solana и др.).
• Интегрировать и поддерживать внешние blockchain API и ноды.
• Писать unit-тесты и участвовать в архитектурных решениях команды.
Требования:
• Коммерческий опыт от 3 лет на Node.js / TypeScript.
• Уверенное знание JavaScript/TypeScript.
• Опыт работы с транзакционными системами — криптовалюты, платёжные системы, финтех.
• Понимание принципов работы блокчейн-сетей (UTXO и account-based модели).
• Практический опыт работы с raw transactions.
• Опыт интеграции внешних API и нод.
• Умение писать unit-тесты.
Будет плюсом:
• Опыт разработки криптокошельков или crypto-процессинга.
• Знакомство с DeFi: swap, staking, liquidity.
• Опыт работы с non-EVM сетями (Bitcoin, Solana, TON).
• Личный интерес к крипте.
• Опыт в стартап-среде.
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Team
The CEX Trading Mobile Team sits at the heart of
OKX
's flagship exchange product, owning the trading experience for millions of users worldwide. We build and scale the real-time market data infrastructure that powers the OKX App — from live quotes and K-line charting to the full suite of trading scenarios that traders rely on every day. As a team, we care deeply about engineering quality: we hold high standards for technical architecture, move fast without cutting corners on stability or performance, and invest consistently in growing our craft through knowledge-sharing and technical training. We're now at an exciting inflection point, actively integrating AI into our product and engineering workflows — exploring how large language models, on-device inference, and intelligent agents can reshape the trading experience. If you're energized by solving hard technical problems at scale, working in a fast-moving market that never sleeps, and driving real innovation in one of the world's leading crypto platforms, this is the team to be on.
What You'll Be Doing
Owning the technical design and delivery of trading market data features for the
OKX
App — including real-time quotes, K-line charts, and related scenarios: Leading the team through product development, optimization, and ongoing maintenance.
Participate in product requirement discussions, define well-reasoned technical solutions, and safeguard product performance, stability, and user experience.
Stay deeply informed on industry trends, continuously refine the technical architecture, and drive the growth of the team's engineering capabilities.
Organize and take part in technical training and knowledge-sharing sessions to elevate the team's overall technical proficiency.
Coordinate cross-functional resources to keep projects on track and on quality, ensuring smooth, high-quality feature launches.
Continuously improve the user experience, performance, and architecture of the modules under your ownership.
Lead the team in exploring the integration of AI into business scenarios, driving product and technology innovation.
What We Look For In You
Hands-on AI engineering/pipeline development experience
— Solid understanding of
LLM
fundamentals, Prompt Engineering, RAG, and core Agent concepts; proven practical experience delivering AI engineering solutions, including building complete AI workflows/pipelines from the ground up.
Track record of leading mid-to-large-scale projects end-to-end
— High standards for technical architecture and engineering quality.
Trading business background
— Client-side development experience at a crypto exchange, brokerage, or fintech app; familiarity with core domains such as order matching, market data display, and asset management.
Nice-To-Haves
Native iOS or Android development background
— Solid mobile engineering foundation with knowledge of mainstream platform architecture, performance optimization, and release processes.
Client-side team management experience
— Has led a client-side team of 5 or more; capable of mentoring, cross-team collaboration, and technical review.
On-device AI or cross-platform experience
— involve on-device AI inference, multimodal client features, or cross-platform architecture with Flutter / React Native.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and
OKX
does not carry on
a business of
operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Team
The CEX Trading Mobile Team sits at the heart of
OKX
's flagship exchange product, owning the trading experience for millions of users worldwide. We build and scale the real-time market data infrastructure that powers the OKX App — from live quotes and K-line charting to the full suite of trading scenarios that traders rely on every day. As a team, we care deeply about engineering quality: we hold high standards for technical architecture, move fast without cutting corners on stability or performance, and invest consistently in growing our craft through knowledge-sharing and technical training. We're now at an exciting inflection point, actively integrating AI into our product and engineering workflows — exploring how large language models, on-device inference, and intelligent agents can reshape the trading experience. If you're energized by solving hard technical problems at scale, working in a fast-moving market that never sleeps, and driving real innovation in one of the world's leading crypto platforms, this is the team to be on.
What You'll Be Doing
Owning the technical design and delivery of trading market data features for the
OKX
App — including real-time quotes, K-line charts, and related scenarios: Leading the team through product development, optimization, and ongoing maintenance.
Participate in product requirement discussions, define well-reasoned technical solutions, and safeguard product performance, stability, and user experience.
Stay deeply informed on industry trends, continuously refine the technical architecture, and drive the growth of the team's engineering capabilities.
Organize and take part in technical training and knowledge-sharing sessions to elevate the team's overall technical proficiency.
Coordinate cross-functional resources to keep projects on track and on quality, ensuring smooth, high-quality feature launches.
Continuously improve the user experience, performance, and architecture of the modules under your ownership.
Lead the team in exploring the integration of AI into business scenarios, driving product and technology innovation.
What We Look For In You
Hands-on AI engineering/pipeline development experience
— Solid understanding of
LLM
fundamentals, Prompt Engineering, RAG, and core Agent concepts; proven practical experience delivering AI engineering solutions, including building complete AI workflows/pipelines from the ground up.
Track record of leading mid-to-large-scale projects end-to-end
— High standards for technical architecture and engineering quality.
Trading business background
— Client-side development experience at a crypto exchange, brokerage, or fintech app; familiarity with core domains such as order matching, market data display, and asset management.
Nice-To-Haves
Native iOS or Android development background
— Solid mobile engineering foundation with knowledge of mainstream platform architecture, performance optimization, and release processes.
Client-side team management experience
— Has led a client-side team of 5 or more; capable of mentoring, cross-team collaboration, and technical review.
On-device AI or cross-platform experience
— involve on-device AI inference, multimodal client features, or cross-platform architecture with Flutter / React Native.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Обязанности:
• проектирование и согласование архитектуры приложений и интеграций
• развитие и разработка расчетных модулей системы, общих библиотек, реализация интеграционных взаимодействий
• формирование требований для построения CI/CD, мониторинга, логирования
• проведение ревью кода, поддержка код стандарта, командные коммуникации
• распределение нагрузки между членами команды
• контроль сроков выполнения задач, релизных циклов и выполнения выставляемых требований
• организация внутренних процессов в команде.
Требования:
• профессиональный опыт на Python от 7 лет, опыт работы в должности технического лидера от 3 лет, опыт работы с K8s, OpenShift
• понимание принципов жизненного цикла разработки и практический опыт создания python приложений enterprise экосистемы
• опыт проектирования API и интеграционных взаимодействий (HTTP, REST, GraphQL)
• понимание принципов ООП, SOLID, паттернов проектирования (GoF), базовых принципов многопоточного и асинхронного программирования (GIL, asyncio), понимание принципов и инструментов Scrum, понимание принципов CI/CD
• уверенные знания Python и опыт разработки с использованием Django, FastAPI, Streamlit, уверенный Linux пользователь
• опыт работы с python data (Pandas/Numpy/SciPy), с инструментами контейнеризации приложений (Docker)
• практические знания и навыки работы с LLM (большими языковыми моделями) и DataScience.
Условия:
• только гибридный формат работы, г. Москва и г.Самара
• годовой бонус и ежегодный пересмотр зарплаты
• расширенный ДМС с первого дня и льготное страхование для семьи
• корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях
• гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
• бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров
• вознаграждение за рекомендацию друзей в команду.
Задачи:
- Разработка сервисов управления программно-аппаратным комплексом "Тантор": управление ресурсами/виртуализацией, управление резервным копированием, управление развертыванием, интеграция с GUI платформы управления "Tantor".
- Участие в разработке технического дизайна и архитектуры.
- Взаимодействие с кросс-функциональными командами.
- Разработка и поддержка unit/integration тестов.
- Повышать стандарты разработки (использовать линтеры).
- Документирование функционала.
- Исправление ошибок в коде системы и решение критичных проблем.
Требования:
- Опыт промышленной backend разработки.
- Написание и реализация REST API. Умение писать OpenAPI спецификацию (либо вручную, либо с применением инструмента генерации).
- Хорошее знание языка Python.
- Создание микросервисов. Опыт работы с инфраструктурой микросервисов (Docker/Kubernetes) и механизмами обмена сообщениями.
- Знание принципов ООП, подходов в программировании (SOLID, KISS), знание и умение применять шаблоны проектирования.
- Опыт работы с PostgreSQL в роли разработчика приложений. Понимание плюсов и минусов ORM.
- Написание unit/integration тестов (pytest).
- Работа с Git.
- Английский (на уровне чтения технической документации).
- Опыт командной работы в дистанционном режиме.
ОфисseniorМосква
ОфисLondon
ОфисseniorNew York, NY
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