Jobs Python

We are looking for a Python Developer (microservices) to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

  You'll be a great fit if you have:

• 2+ years of experience with Python;
• Experience with SQL and query optimisation;
• Experience with integration of 3rd party services;
• Strong understanding of client-server model, REST API approach, authorization/authentication principles;
• Strong understanding of asynchronous/multithread/multiprocess programming;

• Upper- Intermediate level of English.

   

    Would be a plus:

• Experience with Redis and Lua scripts;
• Experience with AWS services (Lambda, Step Functions, API Gateway, SQS, Fargate);
• Experience with Django REST API;
• Experience with payment systems integrations (Stripe, Shopify, Recurly, PayPal, Braintree, etc.);

• Experience with Celery and async task management.

   

  What you'll do:

• Developing server applications (APIs). Within these applications, developers need to describe core logic and integrations with third-party services.
• Writing scripts similar to DAGs in Airflow or AWS Lambdas. These scripts should process information using Pandas or implement some simple business logic.
• Developing applications with a distributed architecture (microservices).

• Developing client applications for data retrieval. These data will later be processed by developers from the DS and DE departments.

   

  We ensure your growth with:

• Competitive salary fixed in USD
• Flexible working schedule and fully remote work format
• Paid vacation days and sick leave days 
• Personal and professional development opportunities
• Participation in building innovative projects from scratch using modern technologies
• Team-building activities and corporate events
• English classes and educational events.

We're looking for an AI & Data Engineer to build the data and AI backbone of a livestream shopping and social marketplace platform for the Middle East - one that combines real-time auctions and social engagement into a single automated, data-driven product.

The audience pipelines, personalization logic and AI agents for this platform don't exist yet. You build them from scratch and own how they run in production.

What you'll do

Growth Data Activation (MarTech)

• Build automated audience pipelines from the warehouse into marketing platforms - Meta CAPI, Google Ads, Braze, Customer.io, WhatsApp API.

Lifecycle Automation & Personalization

• Design behavior-based triggers (cart abandonment, livestream reminders) and ranking/recommendation logic for products and live shows.

Practical AI Integration

• Deploy production-ready LLM workflows and AI agents for operational needs - seller onboarding, content moderation, automated customer support - with proper cost and evaluation guardrails.

Who we're looking for

Must have:

• 3-4 years of experience in Data Engineering, Software Engineering, or Data Architecture.
• Strong, production-grade Python and SQL.
• Proven experience building OLAP data warehouses (ClickHouse, BigQuery, Snowflake, Redshift etc)
• Experience with event tracking and identity resolution - Segment, RudderStack, PostHog.
• Practical experience integrating LLMs/RAG into real production systems - not just prompts or demos.

About the project 

A European AI company is building a platform for running AI models. It has to install wherever its customers need it, in public cloud, private and sovereign cloud, on-prem Kubernetes and networks with no internet access. We are looking for an engineer to own how the platform is packaged, installed, upgraded and connected to customer infrastructure.

What you will do Build and maintain the Helm charts, operators and offline bundles that install and upgrade the platform across Kubernetes distributions and clouds, including air-gapped networks. Connect the platform to customer infrastructure, including OIDC and SAML identity, object storage, container registries, ingress and network policy, and GPU scheduling. Write the Python services and REST APIs through which third-party open-source apps are packaged, installed and managed inside the platform. Own CI/CD, releases and the test matrix across supported environments, add metrics, logs and traces, and write the runbooks.

Must have 5+ years in platform, infrastructure or backend engineering, 2+ of them running production workloads on Kubernetes. 3+ years of production Python backend work with FastAPI or Django REST Framework, Pydantic, SQLAlchemy and Alembic on PostgreSQL, async, pytest and type hints. Helm charts that other people install, written and maintained by you. Installs into environments you do not control, such as customer on-prem, private cloud or air-gapped networks. AWS (EKS, ECR, RDS, S3, Secrets Manager), OIDC, OAuth2 or SAML, Docker image hardening, GitLab CI or GitHub Actions. You live in an EU country and can work on a B2B contract. English at B2+ for daily calls with the client team.

Nice to have Kubernetes operators (kopf or Go), ArgoCD or Flux. GPU on Kubernetes (NVIDIA GPU Operator), vLLM or Triton. Prometheus, Grafana and OpenTelemetry. Published Python packages or CLIs, contributions to open-source infrastructure.

Terms Full-time and long-term, remote from the EU, B2B contract with New Wave Devs, paid monthly. Occasional trips to the client's office in Europe are possible. We are shortlisting now for a client project, and the start date depends on the client.

How we hire First, the three screening questions below. Then a 30 to 45 minute technical call with our CTO, screen shared, without AI assistants. After that, an interview with the client team.

We're hiring full-time developer to build and maintain our Python/Flask platforms that collects data from a growing list of websites. We're looking for an engineer to own that data end to end: collecting it reliably, structuring it well, analyzing it with AI, and exposing it through APIs that our other applications depend on.

What you'll do
 

1. Scraping

• Add new sites to the scraper. Analyze each target site's structure, write parsers with BeautifulSoup4, and map the extracted data into our database models.
• Maintain existing scrapers. Diagnose and fix breakages caused by layout changes, new anti-bot measures, or changed endpoints.
• Work with our adaptive HTTP client. Our client falls back through curl_cffi → httpx → requests → hrequests. You'll tune it per site, handling headers, cookies, sessions, TLS/browser impersonation, and retries.
• Keep daily runs dependable. Add logging, alerting, and failure reporting to our scheduled jobs so problems surface quickly.

2. Database design

• Design clean, scalable schemas. Model scraped data with proper normalization, keys, constraints, and indexes, balancing data integrity against query performance.
• Manage schema changes safely. Use migrations (Alembic / Flask-Migrate) across SQLite in development and PostgreSQL in production.
• Protect data quality. Validate, normalize, and deduplicate data so that everything built downstream can rely on it.

3. AI and data analysis

• Turn raw data into insight. Analyze scraped data to find trends, anomalies, and patterns that matter to the business.
• Apply LLMs where they add value. Use models such as Claude or GPT for classification, summarization, entity extraction, and structured output from unstructured text.
• Improve how our AI reasons. Design and iterate on prompts, define structured output schemas, build evaluation sets, and measure accuracy so AI results get better over time, not just different.
   

4. APIs and integration

• Build APIs for our other applications. Design and implement well-documented REST APIs in Flask with consistent request and response schemas, versioning, pagination, and error handling.
• Secure and scale them. Implement authentication, rate limiting (Flask-Limiter), and input validation, and document endpoints with OpenAPI/Swagger.

We’re growing and looking to hire a Software Team Leader - XSA who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity. Claroty is a global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. We’re a fast-growing, award-winning team where innovation meets purpose—and we want you to help us define the future of cybersecurity.

As a Software Team Leader for XSA (xDome Secure Access), you will lead the development of our industry-leading secure remote access solution. In a world where critical infrastructure is increasingly connected, your team will build the bridge that allows safe, monitored, and frictionless access to sensitive industrial environments. You will deal with complex networking challenges, identity management, and high-availability systems where security and performance are equally paramount.

Responsibilities:

• Drive a high-performing team of developers, fostering a culture of technical ownership, security-first mindset, and continuous delivery.
• Lead the design and implementation of robust secure access features, ensuring seamless integration between IT and OT networks.
• Oversee the development of scalable, high-performance gateway and proxy architectures that support global enterprise scales.
• Work closely with Product Management and Security Researchers to implement Zero Trust principles and advanced session monitoring capabilities.
• Invest in your team’s professional growth, promoting best practices in code quality, security protocols, and system resilience.

Requirements:

• 3+ years of experience leading R&D teams in a fast-paced environment.
• 5+ years of experience in backend development, with a strong track record of building complex systems in Python.
• Deep understanding of networking protocols (TCP/IP, HTTP/S, SSH, RDP) and security concepts (Zero Trust, Identity Management, Encryption).
• Experience building distributed, high-availability systems that handle real-time traffic and data.
• Proficiency in utilizing AI development tools (specifically Cursor and Claude) to accelerate development workflows, code generation, and problem-solving.

Would be a plus:

• Familiarity with frontend frameworks like Angular or React.
• Experience with Cloud-Native technologies (AWS/Azure/GCP, Docker, K8s).
• Experience in the Cybersecurity industry, specifically in Remote Access (VPN/ZTNA) or Identity (IAM).

What we offer

• Help and support from our caring HR team.
• 20 working days of annual paid leave.
• The exchange of experience and work with talented colleagues.
• Last but not least - valuable compensation for your efforts.

Description

We are looking for a hands-on Senior Python Engineer who can take an AI use case from technical design through implementation and integration into a production environment.

The ideal candidate combines strong Python/software engineering skills with practical experience building LLM and GenAI solutions, and is comfortable working in an enterprise environment with complex business and technical requirements.

Requirements

• 5+ years of software engineering experience (including backend/distributed systems), with 2+ years designing and running LLM/agentic systems in production.
• Expert Python engineering for long-running services: concurrency, resource management, performance profiling, API client resilience (retries, timeouts, backoff).
• Deep working knowledge of model capabilities/limits across tiers, model selection and pinning strategy, cross-region inference profiles, quota and throughput planning.
• Expert-level use of Strands Agents/LangGraph in production, including custom tool adapters, memory/session management, and framework-internals debugging.
• Proven ability to select and implement the right pattern per problem, decompose oversized tasks (map-reduce with checkpointing), and escalate autonomy only on eval evidence.
• Experience owning tool contracts as versioned integration surfaces: schema design, least-privilege scoping, read/write separation, contract testing with API-owning teams.
• Advanced context engineering: prompt layout for cache hit rate, stable-prefix design, per-step context allocation, measured (not guessed) representation choices.
• Experience designing versioned output contracts consumed by downstream systems, including evidence/citation fields and compatibility management.
• Experience designing evaluation methodology end-to-end: statistical treatment of nondeterminism, grader mix and judge calibration, eval-gated CI for prompt/model/config changes, growing eval sets from production failures.
• Experience designing defense-in-depth for production agents: prompt-injection resistance, tenant isolation, PII redaction handling, least-privilege tool access, degradation ladders and failure policies.
• Experience operating agents in production: end-to-end run reconstruction, per-tenant cost attribution, drift monitoring, incident response for AI-specific failures, capacity and quota management.
• Strong AWS experience including Amazon Bedrock (and ideally Bedrock AgentCore: Runtime, Gateway, Memory, Identity), infrastructure as code (CloudFormation/Terraform), and event-driven pipeline design (queues, DLQs, idempotency, checkpointing).
• Experience designing derived-data stores for agent pipelines (run state, checkpoints, memoized intermediate results) with clear source-of-truth boundaries.
• Ability to lead technical discussions, mentor engineers, and align integration contracts with application teams and architects.

Job responsibilities

• Own the design and delivery of production agent pipelines end-to-end, from trigger to published output, including decomposition for oversized inputs.
• Own tool contracts as versioned integration surfaces jointly with API-owning teams; drive contract-first development and contract testing.
• Design the release-bundle process (prompt + model + tools + config versioned and deployed as one unit, stamped on every output).
• Define the evaluation methodology and quality gates; calibrate judges against human experts; grow eval sets from production failures.
• Design the failure and degradation policy (retry, resume, degrade, honest absence), pathological-input handling, and prompt-injection defense-in-depth.
• Own production operations: dashboards, alerts, drift monitoring, incident response, quota/capacity planning, cost optimization.
• Lead code and design reviews; enforce testing standards across agent, tools, and infrastructure code.
• Design and operate shadow/champion-challenger rollout mechanisms; manage pinned-model upgrades with mandatory eval reruns.
• Partner with product and domain experts to define output contracts, quality rubrics, and feedback loops; challenge requirements that harm quality or cost.
• Mentor junior and middle engineers; develop the team’s agent-engineering playbook.

Numerical Technologies LTD is a provider of custom software solutions and services specializing in risk, limits, and regulatory capital. We are currently looking for a Senior Python Developer to join our team. 

Project: Development of a Market Risk platform for a global financial institution, supporting risk analytics, market data processing, and large-scale financial applications. 

What you will be doing:

As part of the team, you will be participating in a client project focused on Market Risk Technology solutions. You will help develop new software features, as well as support and maintain existing ones. You will write scalable and fault-tolerant code, debug applications, and build solutions for market data processing and risk analytics. You will collaborate closely with the client, product managers, and engineering teams to understand the system’s functional and non-functional requirements. You will contribute to code quality through unit testing, integration testing, code review, and system design to build robust software that aligns with the client’s business needs. 

What we are looking for:  

• 5+ years of commercial Python development experience.
• Strong knowledge of object-oriented programming, algorithms, and data structures.
• Experience designing scalable backend applications, frameworks, or data platforms.
• Experience building backend systems and working with REST APIs.
• Experience working with SQL, large datasets, and data processing pipelines. 
• Experience with automated testing and CI/CD practices.
• Experience using distributed computing technologies is a strong plus. 
• Strong problem-solving skills and ability to collaborate effectively in a team environment.
• Upper-Intermediate level of English or above. 
• Bachelor’s degree or higher.

What will be a plus:

• Extensive experience with C++ or Java/Scala.
• Experience in financial services or Market Risk systems.
• Knowledge of Historical VaR, Expected Shortfall, or FRTB.

What we offer:

• Competitive compensation depending on experience and skills.
• Regular performance assessments and salary reviews.
• Paid personal days.
• Mental health support program.
• Language classes.
• Flexible working schedule.

Project overview:

Group107 is building a dedicated AI Unit to drive automation across the company and deliver AI-powered solutions for client projects.

We are hiring Junior AI Developers who think fast, learn faster, and are already productive with modern AI-assisted development workflows.

You will work directly under the Tech Director and grow into autonomous AI engineers capable of owning full delivery pipelines.

Requirements:

• 1+ year of hands-on software development experience (commercial or substantial personal projects)
• Demonstrable proficiency with AI coding tools: Claude Code, Cursor, GitHub Copilot, or equivalent
• Working knowledge of at least one: TypeScript/JavaScript or Python
• Experience deploying web applications (Vercel, Netlify, or similar)
• Understanding of LLM fundamentals: prompting, context windows, token management, tool use
• Ability to read, debug, and refactor AI-generated code critically — not just accept output blindly
• Git proficiency and basic CI/CD awareness
• Strong English communication (both written and spoken)
   

Nice to have:

• Experience with v0, Bolt, Lovable, Replit Agent, or similar AI app builders
• Familiarity with MCP (Model Context Protocol) and agentic AI patterns
• Contributions to open-source AI tools or published AI-related content
• Experience with RAG pipelines, vector databases, or embeddings
• Backend experience with Node.js, Next.js, or FastAPI
• Understanding of DevOps basics: Docker, serverless functions, edge computing
   

Responsibilities:

• Build internal automation tools and workflows using AI coding assistants (Claude Code, Cursor, Copilot)
• Develop and ship AI-powered features and full applications for client projects
• Prototype rapidly using vibe-coding methodology — prompt-driven development with AI pair-programming
• Integrate LLM APIs (Anthropic, OpenAI, open-source models) into production systems
• Deploy and maintain applications on modern platforms (Vercel, Cloudflare, AWS)
• Create and manage AI agents, MCP servers, and tool-use pipelines
• Evaluate, benchmark, and select AI models and tools for specific use cases
• Document solutions, write technical specs, and contribute to the internal knowledge base
  
  We offer:
• 20 vacation days (workdays)
• 7 sick days
• Personalized career growth
• Education reimbursement
• Corporate events and team buildings
• Equipment provided

We partner with startups and enterprises to build products across healthcare, fintech, eCommerce, and AI. For you, this means variety - different projects, fresh challenges, and growth that doesn't stall. No years maintaining one legacy codebase.
 

If you want to grow quickly and work on things that actually ship - keep reading.
 

What You'll Do

• Build and ship features - from small tasks to full modules as you grow
• Write clean code and learn best practices through code reviews
• Work alongside experienced engineers who'll help you level up
• Learn how production apps are built and scaled
• See different products and industries - faster learning curve

What We Work With

⚡ Python, FastAPI, Django, Pydantic, PostgreSQL, uv, Ruff, React, TypeScript, Next.js, Tailwind

Gets You Extra Points

• Familiar with SQLModel, Alembic
• Used AI coding tools (Cursor, Claude Code, Copilot)
• Hands-on experience with any LLM integration
• Basic prompt engineering skills

What You Bring

• Solid understanding of Python and basic React/TypeScript
• Understanding of REST APIs
• Basic experience with SQL databases
• English: Intermediate+
• Willingness to learn and take feedback
   

What You Get

Work & Growth:

• Fully remote, flexible hours
• Structured code reviews
• Senior engineers who help you level up
• English practice sessions

Compensation:

• Salary in USD
• Performance reviews twice a year
• 15 days paid vacation + sick leave

Your expertise:

• Proficiency in Django, handy experience with Django shell, debugging
• Experience using AI coding agents and agentic development workflows for implementation, testing, debugging, and code review
• Relational Databases work experience (PostgreSQL, MySQL, etc)
• Experience with containerized applications Docker
• Experience with OS Linux / Unix and understanding of network protocols (TCP / IP, HTTP)
• Expiriеnce with Celery distributed task queue
• Experience with Remote Logs (Kibana, OpenSearch, etc)
• Experience with supporting large and mid-size applications

Will definitely be a plus:

• Understanding of automated CI / CD principles
• Hands-on experience with Golang or any other compiled language
• Contributing to public open source projects.
• Experience with Cloud services (AWS, GCP, etc)

What’s in it for you?

• Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
• Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
• Decent market rate compensation depending on experience and skills
• Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
• “You build it, you own it” mentality in most contexts
• Support of personal and professional development
  • coverage of costs of external trainings, conferences, professional literature
  • support of experienced colleagues
  • in-house events and trainings
  • regular knowledge sharing in teams
  • English classes and speaking clubs
• Life-balance support
  • truly flexible schedule, no time-tracking at all
  • 25 working days of vacation
  • 5 days of paid sick leave per month (if necessary) without providing a medical certificate
  • generous maternity / paternity leave program
• Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it

You will be involved into:

• Development and support of the Hosting microservices and internal SDK
• Automation of processes
• Design and Development of the new features for internal and external clients
• Streams and Services ownership
• Code review
• Be an active part of a team for Hosting product development

About the company and project:

ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today, Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 16 million customers and 19 million domains under management — and we’re just getting started.

Our culture is built on the values that we live every day: the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.

We are the Hosting team, and at the moment we are in the middle of creating new infrastructure for Shared Hosting as part of a huge company idea to rebuild. We need a teammate to share our passion to build and improve hosting products, make it secure, manageable, and smart and easy for consuming.

Job Summary
As a Software Engineer, you will analyze and evaluate AI-generated code and technical solutions. You will identify issues, assess the quality of AI responses, finding mistakes, and uncovering reasoning gaps.

Responsibilities

• Evaluate AI-generated code, technical solutions, and engineering approaches.
• Identify bugs, incorrect assumptions, architectural issues, and weak reasoning in AI responses.
• Test and evaluate agentic coding models designed to perform complex engineering tasks at a senior developer level.
• Compare AI-generated solutions against senior engineering standards and best practices.
   

Requirements

• 3–5 years of commercial experience in Backend Development.
• Strong experience with at least one backend technology: Python (FastAPI/Django or similar) or .NET.
• Strong knowledge of REST APIs and backend development.
• Experience with PostgreSQL or other databases.
• Experience working with existing codebases and unfamiliar repositories.
• Experience with Docker and CI/CD.
• Familiarity with cloud technologies such as AWS, Azure, or GCP.
• Upper-Intermediate English (B2).
   

Bonus Points

• Experience with AI/LLM tools or integrations.
• Experience with C#.
   

This is not a traditional software development role. You will use your engineering expertise to analyze AI outputs, find issues in their solutions, and help train better AI systems.

We run an internal data platform behind a talent representation intelligence product that maps out the entertianment industry.
 

We are rebuilding the platform (legacy Symfony/Angular → Django + React) because the current system stores its most valuable data as unstructured text and can't support where the product is going. . This is not a greenfield toy and not a rescue job — it's a planned rebuild with an unusual amount of groundwork already done:

• A product & architecture document with the domain model decided: what each module means, what dies, what changes, and the conventions (append-only history, structured-at-entry, derived-values-never-facts, and more)
• An epic breakdown with dependency order and explicit definitions of done
• A decisions register — every product ruling logged, searchable, current
• Approved feature specs for the major new modules (representation history, deals/endorsements restructure, awards, drafts)
• A migration standard: raw-row archives, legacy-ID mapping, conflict review queues, rehearsed cutover — nothing silently dropped, nothing silently merged
   

Your job is to design and build within that system: propose schemas and migration plans per module (we call these build contracts — you propose, product approves, then you build), stand up the foundation (auth, field-level permissions, API-first architecture), build the cross-cutting primitives (audit log, unified sources, soft delete, lookups), and run a phased legacy migration where reconciliation counts get reviewed, not just produced.
 

How we work — read this part twice:

• The documents are the spec; the legacy code is not. Many current features are unused and several database tables are mislabeled (we've mapped this). When you hit a question about what something should do, you ask — you don't resolve it from old code. We answer questions daily, in writing, fast.
• Gates are real. Every epic starts with your proposed schema + migration plan; implementation starts after approval. Epics close when their definition-of-done closes — including a researcher completing the workflow without your help — not when the tasks are checked off.
• AI tooling is welcome and expected. We assume you'll use agents/copilots — we do. What we hire for is what the tools can't do: judgment. You verify what your tools produce against the real schema and the real data before it reaches us. "The agent said so" is not a source. (Our favorite recent bug: a generated diagram claiming a name column was an integer. The person who catches that is who we're hiring.)
• Evidence over memory. Unknowns get investigated — code usage, row counts, what breaks — and then ruled on. We don't guess.
  
  You're a fit if:
• Senior Django + React, with real ownership of at least one system end-to-end (schema through UI through deployment)
• You've done at least one legacy migration or system replacement and can talk concretely about what went wrong and what you'd do differently
• You read before you build — genuinely. Our last mismatch was a capable developer who never opened the app or the documents; the interview is designed to detect this, so if it's not you, save us both the call
• You're comfortable proposing designs to a non-engineer product owner who is deeply involved, defending them in writing, and being overruled on product grounds without sulking
• Strong written English; async-first habits; you leave a paper trail by default
• Bonus, not required: search infrastructure (Typesense/similar), data-pipeline/ETL work, having worked alongside scraper/ingestion systems, PostgreSQL depth

Overview: Algoseek is seeking a proactive, technically adept Algorithmic Support Engineer to provide first-line support to our institutional clients for our intraday market data feeds for quantitative and algorithmic trading data systems. This role bridges finance, market data and technology — requiring both hands-on technical troubleshooting and a deep understanding of trading concepts, market data, and systematic strategies.

This position serves as an entry point into Algoseek, offering strong performers a pathway to grow into development, data, or quantitative analysis roles.

Role Details:

• Location: 100% Remote (Global Team)
• Job Type: Full-time
• Compensation: Competitive with bonuses and education/technical allowance

Responsibilities:

• Provide responsive technical and functional support for Algoseek’s market data clients using real-time intraday datasets.
• Diagnose and resolve incidents related to market data feeds, APIs, and algorithmic trading infrastructure.
• Communicate complex issues clearly to both technical and non-technical users.
• Collaborate closely with developers, data engineers, and product leads to escalate and troubleshoot system issues.
• Analyze  reported data anomalies and communicate with client.
• Maintain accurate documentation of support procedures, recurring issues, and resolution steps.
• Identify improvement areas and propose automation or analytics-driven enhancements to support operations.

Essential Requirements:

• Strong grasp of systematic, algorithmic, and quantitative trading workflows (ideally intraday).
• Knowledge of US equities, options, or futures markets OR experience with cryptocurrencies / digital assets trading environments.
• Hands-on technical ability: scripting in Python, familiarity with SQL / data analysis.
• Excellent English communication skills, written and spoken.
• Analytical mindset; strong problem-solving and troubleshooting ability.
• Demonstrated curiosity and motivation to learn — this role suits those aiming to move beyond support into deeper technical or quantitative tracks.

Desirable Requirements:

• Experience supporting trading systems, data platforms, or market data vendors.
• Exposure to FIX protocol, market data APIs, or cloud environments (AWS preferred).
• Bachelor’s degree in Computer Science, Engineering, Finance, or a related field.

Work Hours:

• 100% Remote
• Overlap required with US EST morning hours (typically 9 AM – 2 PM EST)

What Success Looks Like

• Accurately resolves 90% of first-level support tickets without escalation.
• Demonstrates consistent improvement in understanding client trading workflows.
• Proactively proposes or implements process improvements that enhance system reliability and client satisfaction.

Why Join Algoseek?

• Work with a leading provider of high-quality market data and trading solutions.
• Collaborate with world-class engineers, researchers, and financial experts.
• Drive innovation in automated trading systems and distributed market data solutions.
• Be part of a remote-first, globally distributed team with a culture of ownership and excellence.

What We Offer:

• Competitive monthly compensation aligned with experience and responsibilities.
• A 100% remote work setup with flexibility for work-life balance.
• An opportunity to contribute to the growth of an innovative, fast-paced market data company.
• Professional development opportunities to help you grow into higher leadership roles.

If you’re a skilled finance professional ready to take the next step in your career, we’d love to hear from you!

We're looking for a Python Backend Developer with a strong algorithmic mindset to join a sea transport logistics project. You'll be working on route optimization — designing and implementing algorithms and calculation models that solve concrete business problems in shipping and freight planning.  

Responsibilities: 

• Implement features and resolve bugs using AI coding tools as your primary workflow 
• Work with geospatial data: coordinates, routes, distance and travel-time calculations, coordinate transformations 
• Integrate and work with mapping / geolocation services (e.g. Google Maps APIs) for geocoding, distance matrices, and route data 
• Use AI coding assistants (Claude Code, Cursor or similar) as a primary part of your workflow to close a high volume of tasks 

• Document the logic behind your solutions so the team can reason about it after you 

   

Requirements: 

• 3+ years of production Python experience with a focus on algorithmic and computational tasks  
• Experience with optimization problems: route optimization, scheduling, resource allocation, or an adjacent class of problem 
• Working knowledge of graph algorithms and algorithmic complexity  
• Experience working with geospatial data (coordinates, distances, GeoJSON or similar) 
• Hands-on experience with optimization libraries — OR-Tools, NetworkX, PuLP, SciPy.optimize 
• Daily working experience with Claude Code, Cursor or similar AI coding tools 
• Upper-Intermediate English or higher 

Nice to Have: 

• Mathematical background: linear programming, combinatorial optimization, operations research, graph theory, statistics 
• Experience with Google Maps Platform APIs (Distance Matrix, Directions, Geocoding) or equivalents 
• Docker, basic cloud familiarity 

• Understanding of multi-agent AI systems 

   

We Offer: 

• Innovation Culture: Work in a team that actively experiments with AI and modern development approaches  
• Flexible workload: full-time or part-time — we're open to both, depending on your availability 
• Generous Time Off: 20 paid vacation days + 15 sick leave days annually  
• Professional Growth: Compensation for courses, certifications, and learning resources  
• Cutting-Edge Tools: Access to premium AI tools (Cursor Pro, Сlaude Code, GitHub Copilot, etc.) 

Recruitment Process: 

1. HR Interview  

2. Technical Interview   

3. Final Interview   

4. Job Offer

We are looking for a Senior Python Backend Engineer to join our Legal Tech engineering team and help build the next generation of AI-driven litigation ecosystem. This role combines top-tier backend engineering, cloud architecture, and cutting-edge LLM/AI innovation.

You’ll build high-scale, secure, multi-tenant services that turn our real-time transcription engine into AI-powered workflows and assistants used by legal teams. The role offers real ownership and chances to lead initiatives, while giving you space to grow your skills in AI development and modern dev-AI tools — all within a supportive, collaborative team.

This role is for people who bring passion, curiosity, and a genuine drive to build something meaningful as part of a strong, mission-driven team.

This is a remote position based in Ukraine. Candidates must have full professional proficiency in English.

What makes Verbit unique?
Verbit turns speech into impact. Our team of 250 professionals builds AI-driven solutions that help the world’s leading organizations get real value from their audio and video content. We serve high-end customers across the Legal, Media and Education markets with a next-generation verbal-intelligence platform that brings AI into the core of their workflows.

Our in-house technology combines advanced LLMs, GenAI capabilities and speech AI to power everything from legal-tech automation and real-time insights to intelligent media and learning workflows. Beyond transcription or accessibility, Verbit provides actionable intelligence: smart summaries, analytics, search, knowledge extraction, legal-deposition insights and more.

With more than 3,000 global customers relying on Verbit — including top law firms, universities, enterprises and media organizations — we’re building the future of how speech data is processed, understood and used.

     If you want to join our journey, you’ll need:

• 7+ years of hands-on backend development experience in a high-scale production environment
• Strong proficiency with Python, REST APIs and Cloud (e.g. AWS, GCP)
• Strong experience designing and building distributed, cloud-native microservices
• Experience with event-driven architectures and asynchronous processing
• Solid understanding of system design, scalability, availability, and performance optimization
  Practical experience using AI-powered development tools (e.g., Cursor, Claude Code)
• A significant advantage if you have practical experience with AI infra, such as: RAG, Agentic frameworks, Langfuse, LiteLLM
  Ability to take ownership and drive projects end-to-end, working proactively and independently and as a team in a fast-moving environment
• Good communication skills and teamwork
  Ability to work efficiently both individually and within a team
• Formal education in relevant fields (CS, Math, Electrical Engineering etc.)
• Experience with large scale SaaS solutions
• Ability to integrate AI/LLM features into backend services (e.g., prompting, embeddings, RAG pipelines, fine-tuning)

It will be even better if you have: