Jobs

Senior Python Engineer (FinTech)
 

We are looking for a Senior Python Engineer (Remote) to join our engineering team and help build a modern financial technology platform used by businesses and consumers across the UK.

You'll work alongside experienced engineers and product leaders to develop scalable backend services, contribute to architectural decisions, and deliver reliable cloud-based solutions.

What You'll Do

• Design, develop, and maintain backend applications using Python and Django.
• Build secure, scalable APIs and services for a high-traffic fintech platform.
• Work closely with engineers, product teams, and technical leadership to deliver new features.
• Participate in technical planning, architecture discussions, and sprint execution.
• Deploy and maintain cloud infrastructure on AWS.
• Optimize application performance, reliability, and security.
• Review code, share technical knowledge, and help maintain engineering best practices.

Tech Stack

• Python 3.11
• Django 4.x
• PostgreSQL
• AWS (Lambda, ECS, RDS, DynamoDB, EventBridge)
• Docker
• Terraform
• Pandas
• Polars

What We're Looking For

• 4+ years of professional Python development experience.
• At least 1+ years building applications with Django.
• Strong experience developing cloud-native applications on AWS.
• Solid understanding of REST APIs, databases, and backend architecture.
• Experience working in collaborative Agile teams.
• Good communication skills with professional English (B2 or above).
• Comfortable mentoring teammates and participating in code reviews.

What We Offer

• Remote
• Competitive salary with performance-based rewards.
• Clear opportunities for career progression and technical growth.
• Training budget for courses and professional certifications.
• Regular technical knowledge-sharing sessions.
• A collaborative environment with experienced engineers working on a large-scale fintech product.

On a mission to revolutionize the $365 billion game industry by creating a cutting-edge Gen AI product that takes video ads production to the next level. Our unique technology, leveraging genetic machine learning models and GAI capabilities, empowers game companies to effortlessly produce high-performing video ads, new game levels, and complete game mechanics at an unprecedented scale.

Key Responsibilities:

● Work in Unity to effortlessly duplicate and emulate any game's original development environment.

● Utilize AfterEffects to create visually stunning and compelling video ads.

● Apply your creative flair to produce engaging ads tailored for mobile games 2D\3D.

● Bring artistic inclinations to the forefront of ad production, contributing to company`s innovative approach.

Requirements:

● Proficient experience working in Unity; you feel at home in the Unity environment.

● Demonstrable expertise in AfterEffects.

● Proven track record in producing ads for mobile games.

● Artistic inclinations that shine through your work.

Bonus Points for:

○ If you're an avid player of mobile games, we'd love to hear about your gaming experiences!

The company is where creativity meets technology, and we're looking for passionate individuals to join us in shaping the future of game industry ads. If you're excited about pushing the boundaries, apply now and be part of our dynamic team!

PS regarding Unity:
Focusing on animation, organization, inserting objects and arranging them, materials, shaders, lighting, and cameras. Understanding prefabs and how they work in Unity. Particles, Everything related to the visual side of the software, not its programming/coding side.

📧 Send your resume and portfolio to me.

     We are an international iGaming holding company, rapidly expanding and launching a new online casino project in the CIS 

     We are seeking a creative, data-driven Head of Retention CRM Manager. You will develop retention strategies, design and implement multi-channel campaigns (email, SMS, push notifications, in-game messages), and implement personalization and automation that maximize player LTV, reduce churn, and increase revenue.

Key Responsibilities:

• Develop and implement CRM and retention strategies tailored to online casino players.
• Segment the player base by key parameters (LTV, deposit frequency, activity, geographic location, etc.).
• Plan, launch, and optimize multi-channel CRM campaigns (email, SMS, push notifications, in-game messages, WhatsApp, Telegram, etc.). Monitor, analyze, and improve retention funnels and player engagement metrics.
• Collaborate with marketing, analytics, and product development teams to create personalized offers and promotions.
• Track and optimize KPIs such as retention rate, reactivation rate, churn rate, ARPPU, and LTV.
  Conduct A/B tests and implement data-driven improvements.
   

Requirements:

• 2+ years of experience as a Head of Retention Manager / CRM Manager in iGaming (Team Lead)
• Hands-on experience with CRM tools (Optimove, Smartico, Salesforce, Ometria, Emarsys, or similar)
• Strong analytical skills and experience with business intelligence tools (Tableau, Power BI, Looker)
• Expertise in customer segmentation and user scenario development
• A deep understanding of retention and monetization metrics in iGaming
• English (B1+) required
• Experience using Solitics is a plus
   

What we offer:

• Opportunity to be part of the launch of a major international project
• Freedom of action and influence on brand strategy
• Working in a multinational team of professionals
  Competitive salary and bonus system
• Career and professional growth opportunities within a large holding company
• Remote work
• Quick decision-making and freedom from micromanagement

Are you ready to create a brand that will become a market leader? Then join the best and shape the future of the iGaming industry with us! 🚀

About the company:
We are an international iGaming holding company, actively developing and launching new online casino projects in the Tier 1-3 markets. 
We bring global experience to the gaming industry while remaining close to the culture and needs of players.

You can grow with us, influence the outcome, and shape the gaming experience of the future.💯

About the client
The client is a neocloud building purpose-built GPU infrastructure for AI workloads. We operate large-scale clusters powering training and inference for some of the most demanding AI customers in the market, and we’re rapidly expanding. Our infrastructure runs on NVIDIA and AMD accelerators, InfiniBand and high-speed Ethernet fabrics, and a production stack spanning bare-metal provisioning, Kubernetes, and OpenStack.

We’re small, senior, and moving fast. The people who do well at the client own problems end-to-end and make decisions with incomplete information.

The role
We are hiring an Incident & Reliability Lead to own the incident and problem management programs at the client. This is the person who runs the call when a customer cluster goes down, drives the post-mortem afterward, and hardens the runbooks so the same failure does not surface twice.

This is not an ITIL paperwork role. You will be technically credible across Kubernetes, Linux, networking, and GPU infrastructure, enough to lead a live incident with platform engineers, and a customer on the bridge. But your center of gravity is the process: fast, clean incident response, honest communication, and a relentless feedback loop between customers engineering.

You will set the standard for how the client behaves during our most challenging hours. Done well, this is one of the most visible and highest-leverage roles on the team.

You will work closely with cloud operations, network teams, and customer-facing counterparts. Expect to be on-call in a shared rotation.

What you’ll own

• Incident command. Run major incidents end-to-end: triage, escalation, comms cadence, timeline, decision log, and drive-to-resolution. You are the conductor, not the fixer.

• Customer communications. Own customer-facing incident messaging, initial acknowledgement, status updates at defined intervals, resolution notice, and written RCA. Clear, honest, no hedging.

• Post-mortem and RCA program. Run blameless post-mortems, write the RCA, track action items to completion, and publish learnings across the org. Own the quality bar for RCA writing at the client.

• Escalation framework. Define and maintain the severity matrix, escalation trees, on-call rotations, and paging policies across platform, network, DC ops, and leadership.

• Runbooks and playbooks. Turn tribal knowledge into durable, testable runbooks. Drive the engineering teams to document before the next 2am page, not after.

• On-call health. Own the on-call experience: page volume, alert quality, rotation fairness, and handoff hygiene. Kill noisy alerts. Fix the ones that matter.

• Reliability metrics. Define and report the metrics that matter: MTTA, MTTR, incident count by class, SLO attainment, repeat-offender systems. Make reliability a number the business trusts.

• Game days and drills. Plan and run incident drills across clusters, regions, and customer scenarios. Surface gaps before customers do.

• Incident tooling. Own the incident tooling stack, paging, status page, incident channel automation, timeline capture, RCA templates. Evaluate and land the right tools.

What we’re looking for

Required

• 7+ years in SRE, production engineering, or infrastructure operations, with clear ownership of incident management in at least one prior role.

• Proven ability to run major incidents as the commander, keeping a room calm, driving decisions, managing comms to customers and executives in parallel.

• Strong technical fluency across Linux, Kubernetes, networking (L2/L3, BGP basics), and cloud or bare-metal infrastructure. Deep enough in the stack to challenge assumptions, debug alongside engineers on a bridge call, and senior enough to turn each incident into durable improvements like runbooks, automation, guardrails, so the next incident does not need you.

• Excellent written communication. You can draft a customer-facing RCA that is accurate, clear, and does not over- or under-promise, and do it within the SLA window.

• Experience owning SLOs, error budgets, or equivalent reliability metrics as a working practice, not a slide.

• Experience designing on-call rotations and alerting practices across multiple teams.

• Comfortable operating in a fast-moving, still-forming environment. You write the runbook that did not exist yesterday.

Strongly preferred

• Experience in GPU infrastructure, HPC, or AI/ML platform operations, NCCL, InfiniBand, DCGM, or similar.

• Direct experience with Kubernetes incident response, control plane, CNI, operator patterns, noisy-neighbor debugging.

• Experience interfacing with neocloud, enterprise or hyperscaler customers during live incidents.

• Familiarity with Prometheus, Checkmk, Grafana, and modern incident tooling (OpsGenie/JIRA).

• Prior experience at a neocloud, CSP, or infrastructure vendor where downtime had direct revenue impact.

How we work

• We’re remote-first across US, LATAM, and EU time zones with a strong operational culture.

• We use AI tooling heavily in day-to-day operations and expect everyone on the team to be fluent with it and to help us get more leverage from it.

• We ship, we debug, we iterate. We don’t process-engineer our way around problems that need to be solved.

• We value written artifacts, RCAs, runbooks, design docs, over meetings. We value calm over performative urgency. We protect focus time and we protect sleep.

AI as a force multiplier

The client runs the infrastructure that powers the AI economy. We expect our team to use AI aggressively in how we work. For this role specifically, that means using AI to draft RCAs faster, triage logs and metrics during incidents, summarize timelines, generate customer-facing communications from raw incident data, and turn post-mortems into runbook updates automatically. If you have not yet built this into your workflow, you will here.

What success looks like

First 30 days

• Shadowed on-call rotations across the platform, network, and ops teams.

• Read every RCA written and identify the top three recurring failure classes.

• Met with the top three customers and understood their incident expectations and SLA terms.

• Documented the current-state incident response process, gaps and all.

First 90 days

• Published a revised severity matrix, escalation tree, and customer-comms cadence, adopted across teams.

• Run at least two major incidents as commander with clean timelines and customer comms.

• Delivered a new RCA template and coached the team through at least three post-mortems against it.

• Stood up baseline reliability metrics (MTTA, MTTR, incident count by class) with a weekly reporting cadence.

• Killed at least 20% of current alert volume by eliminating low-signal pages.

First 12 months

• The client has a mature, documented incident management program that a new customer can diligence with confidence.

• Repeat-offender incident classes are down materially, with clear attribution to runbook, tooling, or engineering changes you drove.

• Customer-facing RCAs are consistently delivered within SLA and are referenced by customers as a differentiator.

• On-call health (page volume, rotation fairness, engineer-reported burden) has measurably improved.

• Game days are a regular cadence and have surfaced and closed real gaps before they became customer incidents.

Lynx Trading Technologies is the technical infrastructure provider powering institutional trading in U.S. equity markets. We build sophisticated trading technology—think order routing engines, risk management systems, compliance filters, and real-time market connectivity—for broker-dealers and institutional clients.

We're a product company at the intersection of finance and technology, solving complex problems in market infrastructure. Our platform handles millions of dollars in order flow daily, and we're constantly evolving to meet the demands of modern electronic trading.

The Role

We're looking for a Technical Business Analyst who lives at the intersection of technology, data, and product development. This person will be the bridge across engineering, product, operations, and clients—translating business needs into technical requirements, building internal tools, and leveraging AI to work smarter and faster.

You'll be hands-on with Python, deeply engaged with AI tools daily, building analyses and automations, and working directly with engineers to ship features for a complex trading platform.

You need to be technical enough to hold your own with engineers, analytical enough to dissect complex workflows, and AI-savvy enough to speed up your output with modern tools.

This is a fully remote position.

What You'll Do

• Work across the entire organization—engineering, product, operations, compliance, client success—to gather requirements and translate business needs into actionable technical specs
• Define and document product features for our trading platform modules (order routing, risk management, compliance, connectivity, analytics)
• Create user stories, workflows, data models, and technical documentation that engineers can actually use
• Collaborate with engineers to understand system architecture and technical constraints

• Bridge the gap between non-technical stakeholders and technical teams—you speak both languages fluently

   

Technical Analysis & Tools

• Write Python scripts for data analysis, reporting, and workflow automation
• Build internal tools to streamline operations, automate manual processes, and surface insights from trading data
• Query databases, analyze order flow patterns, identify system bottlenecks, and generate actionable reports
• Read and understand code written by engineers—you don't need to be a software engineer, but you need to follow technical conversations and review implementations

AI-Powered Productivity

• Use AI tools daily (ChatGPT, Claude, Cursor, Copilot, etc.) to accelerate documentation, analysis, code generation, and problem-solving
• Experiment with AI-driven approaches to automate repetitive BA work
• Help the team adopt AI tools and workflows to move faster

• Stay current with AI developments and find opportunities to integrate them into our processes

   

Market & Domain Knowledge

• Ready to learn the U.S. equity market structure, trading workflows, and regulatory requirements (we'll teach you, but you need to be eager to learn)
• Understand how institutional trading works—order types, routing strategies, market venues, clearing processes

• Develop deep expertise in our platform and the problems we solve for clients

   

Process & Communication

• Maintain clear, organized documentation that keeps pace with a fast-moving product
• Communicate effectively across technical and non-technical audiences
• Participate in product planning, sprint planning, and cross-functional collaboration

• Adapt quickly as priorities shift—we're in a dynamic industry where things change frequently

   

What We're Looking For

• 3+ years as a Business Analyst, preferably at a product company 
• Strong technical aptitude - comfortable with Python for scripting, data analysis, and automation
• Daily AI user - you're already using AI tools to enhance your work and excited about what's possible
• Fluent English - excellent written and verbal communication
• Systems thinker - you understand how complex technical systems fit together
• Product company mindset - you've worked in fast-paced environments where shipping features and iterating quickly matters
• Self-directed learner - willing to dive deep into trading, market structure, and financial systems
• Comfortable with ambiguity - things move fast here, requirements evolve, and you need to stay productive through change

Nice to Have

• Experience in fintech, trading technology, or financial services
• Knowledge of U.S. equity markets, trading platforms, or broker-dealer operations
• SQL, data modeling, or analytics experience
• Exposure to FIX protocol, trading APIs, or market data systems
• Experience building internal tools or automations for operations teams

Competera uses Big Data and Deep Learning to change the way retailers do pricing. We are known for both: cutting-edge math ’under the hood’ and for deep expertise in the pricing domain. We are looking for an MLOps Engineer to develop the platform that supports the entire ML models lifecycle in production.

You could be a perfect match for the position if
You want to:
 

• Develop tools for Data Scientists that help them to scale in their operations and routines.
• Develop pricing algorithm/systems based on DS research; convert prototypes to robust systems for enterprise retailers.
• Build/optimize ML and mathematical algorithms. 
• Improve Data Scientists’ Dev Experience.
• Create/optimize data pipelines and systems for ML models.
• Optimize SDLC for ML models.
• Implement backend systems to expose ML systems for other platform components.

You have:

• Education in STEM-related fields, Computer Science/Math/Physics is preferable.
• Understanding of ML models training lifecycle.
• Python experience 5+ years.
• Ability to understand key ML principles and terms (loss, training loop, gradient descent, statistics, etc.).

You’re gonna love it, and here’s why:
 

• Rich innovative software stack, freedom to choose the best suitable technologies;
• Remote-first ideology: freedom to operate from the home office or any suitable coworking;
• Flexible working hours (we start from 8 to 11 am) and no time tracking systems on;
• Regular performance and compensation reviews;
• Recurrent 1-1s and measurable OKRs;
• In-depth onboarding with a clear success track;
• Competera covers 70% of your training/course fee;
• 20 vacation days, 15 days off, and up to one week of paid Christmas holidays;
• 20 business days of sick leave;
• Partial medical insurance coverage.

Drive innovations with us. Be a Competerian.

Location: Warsaw, Poland/Remote
Format: Full-time
Type of contract: B2B
Seniority: Middle/Senior
English level: C1+
 

About Us
At EPC Network, we’re not just a digital marketing company; we’re a platform for career transformation and personal growth. Our people-first approach shapes our corporate culture, fostering a team of passionate, smart, and energetic individuals who strive to grow professionally in an international, fast-paced environment.

We believe our Team is the foundation of our success, and now we’re looking for an Affiliate Manager to join our SMS direction!
 

About the Role

As an Affiliate Manager, you will be responsible for building and managing relationships with partners in the US market, driving performance, and scaling affiliate collaborations.

You will own a specific vertical (Finance or Health), becoming the go-to person for partners in your niche and playing a key role in the department’s growth.

This role is communication-heavy and requires confidence across multiple channels — from calls and voice messages to Slack, email, and other platforms.
 

Responsibilities

• Manage and grow relationships with affiliate partners (primarily US-based)
• Take full ownership of a specific vertical (Finance or Health)
• Negotiate and increase CPA rates to maximize performance
• Identify new partnership opportunities and scale existing ones
• Communicate with partners across multiple channels (calls, voice, Slack, email, etc.)
• Maintain a high level of responsiveness and trust in partner communication
• Collaborate with internal teams to align on performance and strategy
• Actively contribute to the growth and scaling of the SMS affiliate direction

Requirements

• Strong spoken and written English, with high confidence in real-time communication
• Proven ability to communicate with US or English-speaking partners
• 2+ years of experience in affiliate marketing or performance marketing
• Understanding of affiliate ecosystems and partner networks (e.g., ClickBank, BuyGoods, etc.)
• Strong negotiation skills and commercial mindset
• Ability to think on your feet and handle conversations without predefined scripts
• High level of ownership and responsibility for your results

Nice to Have

• Experience working with specific niches (Finance, Health, or similar verticals)
• Background of living, studying, or working closely with the US market
• Strong improvisation skills — ability to confidently navigate conversations even with incomplete information
• A natural ability to build trust and maintain long-term relationships with partners
• Curiosity and proactive mindset in exploring new growth opportunities
   

What it means to be part of our Team:

Your professional and personal development:

• Multinational and intercultural experience
• Corporate library
• A world-class team to work with
• Growth opportunities
• Cutting-edge frameworks and technologies

Well-being:

• Competitive salary
• Plenty of engaging team-building and social events
• Bonuses according to the policy
• 21 paid vacation days & 14 paid sick leaves;

Working environment:

• Cozy office in Warsaw, available for you whenever you need it
• Coffee, tea, Red Bull, sweets, fruits, and more snacks

Interested?

We’re always on the lookout for passionate, driven, and curious people to join our team.If that sounds like you — we’d love to hear from you!

Role Overview:
We are looking for an experienced IAM Integration Engineer to support the implementation and integration of enterprise applications into a centralized IAM/IGA platform.
The engineer will be responsible for onboarding critical applications, configuring connectors and provisioning workflows, integrating Entra ID tenants and HR identity sources, and supporting testing and platform configuration activities. This is a hands-on technical role within a large-scale enterprise IAM transformation program.

Responsibilities:

• Integrate approximately 50 critical enterprise applications into the central IAM platform
• Configure and develop IAM connectors and integrations
• Implement provisioning and de-provisioning workflows
• Support integration with five Microsoft Entra ID tenants
• Integrate HR-driven identity lifecycle processes, including SuccessFactors
• Configure identity lifecycle automation (Joiner / Mover / Leaver processes)
• Support IAM platform configuration, testing, and troubleshooting
• Collaborate with security, infrastructure, application, and HR teams
• Participate in access governance and role assignment implementation
• Support system validation, UAT, and production readiness activities

Required Skills & Experience

• Strong hands-on experience with enterprise IAM/IGA platforms such as:
  ○ SailPoint
  ○ Saviynt
  ○ One Identity
  ○ or similar
• Experience with:
  ○ Connector development/configuration
  ○ Provisioning and de-provisioning
  ○ Workflow configuration
  ○ Application onboarding
• Strong knowledge of:
  ○ Microsoft Entra ID
  ○ Active Directory
  ○ Identity lifecycle management
• Experience integrating HR-driven identity feeds (SuccessFactors is a strong plus)
• Experience with APIs and scripting:
  ○ PowerShell
  ○ REST APIs
  ○ JSON/XML
• Understanding of identity governance and access management concepts
• Experience working in enterprise or large-scale IAM transformation environments

Nice to Have:

• Experience with SCIM integrations
• Experience with cloud IAM environments
• Knowledge of RBAC and access governance concepts
• Experience in regulated enterprise environments (insurance, banking, telecom, etc.)
• Experience with testing and IAM rollout activities

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies across a wide range of industries.
 

About the Product:

We partner with a fast-growing technology company building an AI-powered cloud platform that helps organizations process large volumes of data, generate actionable insights, and automate complex workflows.

Built as a cloud-native SaaS solution, the platform processes millions of events daily and leverages a distributed microservices architecture on AWS to deliver high availability, scalability, and performance. By combining machine learning, automation, and real-time data processing, the platform enables organizations to improve operational efficiency and make faster, data-driven decisions.
 

About the Role:

As a Senior Backend Engineer, you will own critical platform services end-to-end—from feature definition and API design to implementation, testing, deployment, and production support. You will join a cross-functional team responsible for high-performance backend systems and data pipelines that power intelligent analytics, large-scale event processing, and workflow automation.

This role demands deep expertise in Python development, cloud platforms, and container orchestration, along with a mindset for automation, reliability, and AI-assisted development. You will influence the technical roadmap, mentor peers, participate in architecture reviews, and ensure the platform scales reliably under high-volume production workloads.
 

Key Responsibilities:

• Own backend features and services throughout their lifecycle, from requirements analysis and technical design to deployment, monitoring, and production support.
• Design, develop, and maintain scalable APIs, microservices, and data-processing systems that support high-volume, cloud-native applications.
• Build and optimize solutions running on AWS, leveraging modern cloud services, distributed architectures, and event-driven patterns.
• Collaborate with Product, Engineering, and DevOps teams to translate business requirements into reliable and maintainable technical solutions.
• Ensure software quality through automated testing, code reviews, observability practices, and continuous improvement of development workflows.
   

Required Competence and Skills:

• Minimum 7 years of professional backend development experience, including at least 4-5 years working with Python.
• Proven track record designing and maintaining robust, scalable APIs and services.
• Strong proficiency with SQL (PostgreSQL) and NoSQL (Redis) databases, data modeling, and query optimization.
• Hands-on experience with AWS or equivalent cloud platforms and core managed services.
• Solid understanding of containerization (Docker) and orchestration (Kubernetes/EKS).
• Hands-on experience using AI-powered development tools and coding agents (e.g., Cursor, Claude Code, Codex) to accelerate software delivery and improve code quality.
• Experience building distributed microservices and event-driven systems at scale.
• Demonstrated ability to own production systems, participate in on-call support, and resolve incidents effectively.
• Excellent problem-solving skills, system design expertise, and clear technical communication.
• Familiarity with automated testing frameworks, CI/CD pipelines, and observability tools.
   

Nice to Have:

• Experience with Python web frameworks such as Django, Flask, or FastAPI.
• Familiarity with SQLAlchemy or other ORM libraries.
• Knowledge of search and analytics platforms such as Elasticsearch or OpenSearch.
• Background in large-scale distributed systems, data-intensive platforms, or real-time event processing.
• Experience working with enterprise SaaS products, cloud platforms, or highly regulated environments.

Nucleus Labs is building AI-powered products across multiple domains, with a strong focus on practical, production-grade systems that leverage modern LLM and machine learning capabilities.

Our engineering teams are actively developing AI-assisted workflows, document-processing pipelines, extraction systems, and human-in-the-loop platforms. While our ML researchers and AI engineers focus on experimentation, model evaluation, and solution discovery, we are looking for an engineer who can transform these solutions into reliable, maintainable, and production-ready systems.

This role sits at the intersection of Software Engineering, MLOps and AI Platform Engineering.

You will act as the bridge between ML research, product engineering, architecture, and infrastructure teams, ensuring that AI solutions move beyond local experimentation and become scalable, observable, and maintainable production systems.

Responsibilities

AI Platform & MLOps Engineering

• Productionalize AI and ML solutions developed by research teams and integrate them into customer-facing products.
• Build and maintain reusable, maintainable, and extensible AI pipelines.
• Design systems that support rapid iteration of AI workflows without requiring full system rewrites or redeployments.
• Implement and maintain human-in-the-loop feedback workflows for AI-assisted products.
• Design mechanisms for collecting feedback, annotations, evaluation data, and model performance signals.

AI Workflow Development

• Build and orchestrate complex LLM-based workflows involving multiple inference steps, tools, and decision points.
• Extend and maintain pipelines involving LLM calls, OCR systems, extraction engines, and data-processing workflows.
• Collaborate with ML engineers to integrate new models, prompts, evaluation approaches, and AI capabilities.
• Ensure AI pipelines remain easy to evolve as business and product requirements change.

Software Engineering

• Design, develop, and maintain backend services that expose AI capabilities through internal and external APIs.
• Build clean, modular, and maintainable software using modern engineering practices.
• Write production-quality code with strong emphasis on readability, testability, and long-term maintainability.
• Participate in architecture discussions and technical design reviews.
• Debug and resolve issues across application, infrastructure, and AI workflow layers.

MLOps & Infrastructure Collaboration

• Work closely with DevOps engineers to design infrastructure required for AI workloads.
• Define infrastructure requirements for deployment, storage, compute, observability, and scaling.
• Collaborate on CI/CD pipelines supporting continuous delivery of AI-enabled systems.
• Contribute to infrastructure-as-code requirements and collaborate on Terraform-based environments.
• Help determine appropriate cloud services and deployment strategies for AI workloads.

Model Lifecycle & Data Operations

• Understand and support the full ML lifecycle, including:
  • data collection
  • annotation workflows
  • training
  • validation
  • evaluation
  • deployment
  • monitoring
  • continuous improvement
• Design systems that support future model fine-tuning and retraining initiatives.
• Build infrastructure and automation around dataset management, evaluation, and reporting.

Observability & Reliability

• Implement monitoring, logging, tracing, and alerting for AI systems.
• Define metrics that measure model quality, pipeline health, and business outcomes.
• Ensure production AI systems are observable, debuggable, and resilient.
• Participate in incident investigation and root cause analysis for AI-related production issues.

Requirements

• 5+ years of professional software engineering experience.
• Strong commercial experience building backend systems using Python.
• Strong software engineering fundamentals, including clean architecture, SOLID principles, design patterns, and SDLC best practices.
• Experience building and maintaining production-grade distributed systems.
• Hands-on experience integrating LLMs and AI services into production applications.
• Practical understanding of MLOps concepts and the machine learning lifecycle.
• Experience designing and implementing CI/CD pipelines.
• Experience working in cloud environments, preferably AWS.
• Experience working with Docker and containerized applications.
• Experience collaborating with DevOps teams on infrastructure and deployment topics.
• Ability to understand, maintain, and evolve AI/ML codebases created during research and experimentation phases.
• Experience building maintainable APIs and backend services.
• Strong debugging and troubleshooting skills across application and infrastructure layers.
• Strong communication skills and ability to collaborate across cross-functional teams.

Nice to Have

• Experience with AWS services such as ECS, EKS, EC2, Lambda, S3, Step Functions, Bedrock, or SageMaker.
• Experience with workflow orchestration frameworks such as Temporal, Airflow, Dagster, Prefect, or similar.
• Experience with vector databases and retrieval systems.
• Experience with OCR systems and document-processing pipelines.
• Experience fine-tuning open-source models.
• Experience building human-in-the-loop systems.
• Experience with model evaluation frameworks and LLM observability platforms.
• Experience with Terraform or Infrastructure as Code.
• Experience with Kubernetes.
• Experience working with AI agents, agent orchestration frameworks, or tool-calling systems.
• Experience in document AI, legal-tech, healthcare, edtech, or other data-heavy domains.
• Experience working with open-source ML ecosystems.

What Matters for This Role

• Ownership mindset — ability to take responsibility for AI-enabled systems end-to-end.
• Strong software engineering foundation with practical understanding of ML systems.
• Ability to bridge the gap between ML research and production engineering.
• Pragmatic decision-making and strong engineering judgment.
• Comfort working in ambiguous, fast-moving environments.
• Ability to design systems that are maintainable, extensible, and easy to evolve.
• Curiosity about AI systems combined with strong software craftsmanship.
• Willingness to work across traditional engineering, AI, infrastructure, and product boundaries.

Parsec Studio is a full-cycle video production company with an impressive portfolio of well-known brands. Check out our showreel.

We are offering an exciting opportunity to join our team as a Mid-level Motion Design Specialist/Editor.

In your role as a Motion Design Specialist/Editor, you will turn our clients’ ideas into engaging narratives with your impressive experience and creative approach.

Essential Skills:

— Experience with After Effects and Davinci Resolve, the ability to create impressive motion design videos, demonstrating creativity and technical competence in visual storytelling.

— Candidate must have skills in working with dynamic graphic elements and animation, and the ability to translate conceptual ideas into smooth and expressive visual narratives effectively.

— Proficiency in Blender, Unreal Engine, or Cinema 4D will be a big plus.

Please submit your resume, portfolio, and any relevant work samples showcasing your expertise in Motion Design. Applications without a portfolio will not be considered.

We look forward to welcoming you to the Parsec Studio team!

Talk to you soon :)

Parsec Studio is a full-cycle video production company with an impressive portfolio of well-known global brands. We create high-quality video content for clients across SaaS, tech, product, and commercial industries.
 

We are now looking for an AI Video Specialist / AI Creator to join our team and help us develop creative, visually strong, and production-ready videos using modern AI tools.

In this role, you will transform client ideas, scripts, and creative concepts into engaging visual stories using AI video generation, AI image tools, editing, and motion design workflows.
 

Essential Skills:

— Strong experience with AI video generation tools such as Runway, Kling, Veo, Seedance, Pika, Luma, or similar platforms.

— Ability to create high-quality AI-generated visuals, maintain character and style consistency, and improve outputs through strong prompting and iteration.

— Understanding of cinematic composition, camera movement, lighting, pacing, and visual storytelling.

— Experience with editing and post-production tools such as Adobe Premiere Pro, After Effects, or DaVinci Resolve.

— Ability to clean up, enhance, and combine AI-generated shots into polished video sequences.

— Skills in AI image generation tools such as Midjourney, ChatGPT / Sora, Stable Diffusion, or similar platforms will be a big plus.

— Basic motion design, compositing, or 3D skills in After Effects, Blender, Unreal Engine, or Cinema 4D will also be a strong advantage.
 

Responsibilities:

— Generate AI video shots based on scripts, storyboards, and creative references.

— Develop prompts, test different visual directions, and refine generations until the result matches the project goals.

— Work with the production team to create consistent characters, environments, products, and visual styles.

— Edit AI-generated materials into clear and engaging video sequences.

— Help improve our internal AI production pipeline and test new tools and workflows.

Please submit your resume, portfolio, and any relevant AI-generated video work samples. Applications without a portfolio or examples of AI video work will not be considered.
 

We look forward to welcoming you to the Parsec Studio team!
 

Talk to you soon :)

Product Manager (SDK Monetization)

Location: Poland
Interview Process: Approximately 4–5 interview stages

About the Role

We are seeking a Product Manager to lead the strategy, development, and growth of our SDK Monetization product. This role will be responsible for defining and executing the product roadmap while collaborating with cross-functional teams across multiple regions.
 

The ideal candidate has experience in AdTech, mobile monetization, and AI-powered products, with a strong understanding of the programmatic advertising ecosystem and mobile SDKs.

Key Responsibilities

• Own and drive the SDK Monetization product roadmap.
• Define product vision, strategy, and priorities aligned with business objectives.
• Lead both inbound and outbound product initiatives.
• Gather and prioritize product requirements from internal and external stakeholders.
• Work closely with engineering, data, business, and commercial teams to deliver high-impact product features.
• Analyze product performance and identify opportunities for optimization and growth.
• Collaborate with global teams to ensure successful product delivery and market adoption.
• Stay up to date with industry trends, emerging technologies, and competitive developments within the AdTech and AI landscape.

Requirements

• Proven experience as a Product Manager, preferably within AdTech, MarTech, Mobile, or related technology sectors.
• Strong understanding of the programmatic advertising ecosystem.
• Experience working with mobile SDKs and monetization products.
• Exposure to AI-driven products, tools, or technologies.
• Experience managing end-to-end product lifecycle, from discovery through launch and optimization.
• Strong analytical and data-driven decision-making skills.
• Excellent stakeholder management and communication skills.
• Ability to work effectively within distributed international teams.

Nice to Have

• Experience with mobile advertising technologies and monetization platforms.
• Background in performance advertising, mediation, bidding, or related AdTech solutions.
• Experience working in high-growth technology companies or startups.
• Technical understanding of SDK architecture and integrations.

Team & Environment

• Global product team distributed across the United States and Israel.
• Product leadership and core product organization are primarily based in Israel.
• Strategic initiative to expand the product organization in Europe, with the first Product Manager position being established in Poland.

About the Role:

We are looking for a firmware engineer who really knows how to work with modern hardware (ESP32-S3, PICAD-compatible boards) and Zephyr OS. The main task is to write stable, production-ready code for IoT devices at the “data logger / gateway” level: sensors, Modbus, LTE/Wi-Fi, OTA, local logic, energy saving.

No academic R&D - we need someone who can quickly produce a working product.

Responsibilities:

• Development of firmware under Zephyr OS for ESP32-S3 / ESP32-C6;
• Working with PICAD-compatible peripherals (sensors, interfaces, IO);
• Protocol implementation: Modbus RTU/TCP, UART, RS-485, SPI, I2C;
• Network stack configuration: Wi-Fi, LTE (via external modules), MQTT;
• OTA updates (MCUboot, Zephyr samples, custom circuits);
• Data buffering, local storage, fallback modes;
• Integration with backend API (REST/MQTT), queue/telemetry processing;
• Optimization of energy consumption and performance;
• Writing unit-/integration-tests, working with hardware-bring-up.

Requirements:

• Deep experience in firmware development in C/C++;
• Commercial experience with Zephyr RTOS is required (device tree, Kconfig, drivers, subsystems);
• Practical experience with ESP32-S3 / ESP32-C3 / ESP32-C6;
• Understanding MCUboot, partition layout, OTA pipeline;
• Ability to work with peripherals: UART, SPI, I2C, PWM, ADC, RS-485;
• Experience with Modbus (master/slave), preferably with real devices;
• Debugging experience: JTAG, OpenOCD, logic analyzer;
• Git, CI/CD, the ability to work in a normal product, not a "quick fix."

Nice to have:

• BLE (Zephyr BT stack);
• Python for tooling (scripts, tests, production tools).

We Offer:

• Working on a real IoT product (energy logger / gateway), which is already going into production;
• Opportunity for professional growth and career development;
• Vacation - 18 working days per year;
• Friendly working environment;
• Sick leave - 5 working days (without documents);
• Medical insurance.