Jobs

About the role

Senior Software Engineer (Back End, NY) who will work alongside the Heads of Engineering, Product, and Clinical Operations to design and deliver systems that make recovery more human, accessible, and scalable, while taking ownership and working with autonomy at the intersection of health, technology, and purpose.

Responsibilities

• Architect robust, stable software to deliver essential healthcare to thousands of patients
• Deliver consistently on sprints and projects across backend infrastructure
• Own specifications and tickets with self-sufficiency and independence
• Balance speed and quality, with a focus on tangible results
• Partner closely with clinicians, operations experts, and care providers to find new solutions for product and processes
• Close gaps in specifications and business logic
• Ensure code delivers on the underlying use case
• Report directly to the Head of Engineering and extend their capacity across projects
• Have a humble, growth-oriented mindset with a desire to consistently improve and outperform

Required Skills

• 5+ years of experience building complex backend services for mobile, web, and data services
• 2+ years of technical leadership experience
• Ability to collaborate with the rest of the team and organize your own work
• Previous success building and shipping large-scale web services with a mindset of empathy for the user
• Understanding of computer science and fundamental concepts of software engineering
• Proficient in at least one of: Ruby on Rails, PHP, JavaScript, or other server-side language
• Location & Work Format: Must be currently located in the United States with full authorization to work on a W2 employment basis full-time in the office.
• Language: Professional working proficiency in English (both spoken and written).

Preferred Skills

• Experience working in health tech or at an early-stage startup
• GraphQL and REST web services
• Real-time data streaming
• AWS

Sound like a fit?

Apply now and our recruiting team will get back to you.

About the role

Build, test, deploy, and support Salesforce solutions using Apex, Lightning Web Components, Flow, APIs, and platform configuration. The developer works with consultants and architects to implement approved requirements using secure, scalable, and maintainable engineering practices.

Key responsibilities

• Develop Apex classes, triggers, asynchronous processes, Lightning Web Components, integrations, and automated tests.
• Build declarative solutions using Flow, validation rules, formulas, permissions, Lightning pages, and platform configuration.
• Translate user stories and technical designs into estimates, code, unit tests, deployment instructions, and support documentation.
• Integrate Salesforce with external applications using REST, SOAP, platform events, middleware, and secure authentication.
• Use source control, scratch orgs or sandboxes, continuous integration, automated testing, and controlled release processes.
• Troubleshoot defects, governor-limit issues, data problems, failed integrations, performance concerns, and production incidents.
• Participate in code reviews and follow secure-development, bulkification, test-coverage, and maintainability standards.
• Collaborate with business analysts, functional consultants, architects, QA engineers, and client technical teams.

Required qualifications

• Three or more years of hands-on Salesforce development experience.
• Strong Apex, SOQL, Lightning Web Components, JavaScript, Flow, and Salesforce data-model skills.
• Experience with REST or SOAP APIs, asynchronous Apex, platform events, security, and governor limits.
• Hands-on experience with Git, Salesforce DX, sandboxes or scratch orgs, CI/CD, testing, and deployment tools.
• Ability to interpret user stories and technical designs, estimate work, test changes, and communicate risks.
• Understanding of profiles, permission sets, sharing, CRUD and field-level security, and secure coding practices.
• Strong debugging, code-review, documentation, and production-support skills.
• Location & Work Format: Must be currently located in the United States with full authorization to work on a W2 employment basis full-time in the office.
• Language: Professional working proficiency in English (both spoken and written).

Preferred qualifications

• Salesforce Platform Developer I or Platform Developer II certification.
• Experience with MuleSoft, Experience Cloud, Revenue Cloud, Data Cloud, OmniStudio, or industry clouds.
• Knowledge of Jest, Apex testing frameworks, static analysis, packaging, and automated quality gates.
• Prior consulting or implementation-partner experience.

Sound like a fit?

Apply now and our recruiting team will get back to you.

We are looking for an experienced Construction Project Manager who can remotely coordinate construction projects in Pittsburgh, oversee contractors, and ensure projects are delivered on time, within budget, and according to quality standards.

Responsibilities

• Manage construction projects from planning through completion.
• Coordinate the work of contractors and subcontractors.
• Monitor project timelines and ensure adherence to construction schedules.
• Oversee the quality of construction work.
• Verify completed work quantities and ensure compliance with project documentation.
• Monitor materials, equipment, and resource utilization.
• Work with estimates, budgets, and construction costs.
• Review and analyze project and technical documentation.
• Maintain construction and as-built documentation.
• Ensure all work is performed in accordance with project plans and technical requirements.
• Communicate with company management, contractors, suppliers, and other project stakeholders.
• Identify technical issues and coordinate their resolution.
• Prepare regular project progress reports.

Ideal Candidate

• Bachelor’s degree or higher in Construction, Civil Engineering, or a related field.
• 2+ years of experience in construction, preferably in roles such as Construction Project Manager, Construction Manager, Site Manager, Chief Engineer, or a similar position.
• Experience managing construction teams.
• Experience working with contractors and subcontractors.
• Strong understanding of construction processes and workflows.
• Experience with construction estimates and budgets.
• Ability to develop and monitor construction schedules.
• Experience with MS Project or similar project management tools.
• Strong organizational and communication skills.
• Ability to take responsibility for project results from start to completion.

Preferred Qualifications

• Experience working on construction projects in the United States.
• Knowledge of U.S. building codes and construction standards.
• Experience with residential construction, remodeling, or renovation projects.
• English proficiency sufficient for professional communication.
• Understanding of the construction market in Pennsylvania / Pittsburgh.

What We Offer

• local/on-site work opportunities when required.
• Full-time or part-time employment.
• Direct collaboration with a U.S.-based construction company.
• Long-term cooperation.
• Interesting and real-world construction projects.
• Opportunities for professional growth and further development within an American construction company.
• Compensation discussed individually based on experience and qualifications.

Why This Position May Be Interesting

You will not simply be responsible for overseeing one part of a project. You will have the opportunity to influence the entire construction process — including timelines, quality, contractors, materials, and budgets.

If you have experience managing construction projects and are interested in working with a U.S.-based construction company, send us your resume. We would be happy to hear from you!

Our client is a direct marketplace for mortgages, connecting whole loan lenders and investors with smarter pricing, automated eligibility, and end-to-end transaction management.

They are transforming an industry that still runs on spreadsheets and email.

They are looking for the first offshore developer that will help them build the team.

You will own features end to end - from the Vue interfaces our lenders and investors work in daily, through the Django APIs behind them, down to the pricing and eligibility engines that decide what a loan is worth and who will buy it. Wide surface area, real ownership, and you will see the impact the same week you ship.

Responsibilities:

• Integrate Several external API’s to our system
• Be part of our engineering team.
• Develop the entire feature development process, from discovery to definition to execution and implementation.
• Challenge yourself in a high-paced startup environment.
• Begin as a hands on developer and if everything goes well, assist us to grow and manage an offshore team

Requirements:

• Experience as a Tech Lead / Team Lead
• Front-end oriented development
• 80% hands-on development
• AI-assisted development
• Experience with Git Work tree (https://git-scm.com/docs/git-worktree) or similar
• Experience working with multiple AI agents in parallel
• 7+ years experience as a senior Fullstack developer on an in-scaled production platform.
• Strong programming skills in Python (Django).
• Experience working with technologies such as Docker, Kubernetes, MongoDB, DynamoDB, ElasticSearch.
• Experience working with Data
• Experince with API intagrations.
• Team player with a getting-things-done, startup attitude.
• Good English & Communicatin skils
• Experience working in English speaking teams

Nice to have:

• Experience in development and deployments best practices and methods, such as CI/CD, Testing, Containers.
• Experience in building and maintaining Restful APIs.
• Knowledge in Machine Learning or DS tool.
• Working experience with Israeli teams

Tech Stack:

Vue 3, TypeScript, Vite, Pinia, Vuetify, Tailwind, Shadcn, Vitest, Playwright, Python 3.14, Django 5.2, DRF, Celery, PostgreSQL, Redis, OpenSearch, pytest

We are looking for a Senior Full Stack Engineer to join a fast-growing, AI-native startup that is rebuilding the software behind defence, aerospace and industrial supply chains. This is a founding-engineer-style role: you will own features end to end instead of picking up tickets. You will work closely with the founders, Deployment Strategists and other senior engineers to turn messy, manual workflows into semi-autonomous processes. You will start in Warsaw with the team, and the plan is to relocate to the US (San Francisco) within about six months, with visa sponsorship and relocation fully covered. This role suits a builder with strong full-stack skills, a passion for shipping and a real wish to move to the US and grow with an early-stage company. Success here means shipping useful, clean and maintainable code that delivers real value to customers.

Details:

• Schedule: Full time
• Location: Onsite – Warsaw, Poland (initial period, co-living provided), then relocation to San Francisco, US within ~6 months
• Start: ASAP
• Duration: Long-term
• English: Fluent
• Type of collaboration: Internal Employment
• Relocation: E-2 / O-1 visa sponsorship and full relocation support to the US

About the project:
The company is building a back-office operating system for defence firms. It helps them find, review and bid on government RFQs, both directly with the Pentagon and as subcontractors. Every year the US government buys billions of dollars' worth of parts and products, but the process is still full of red tape, emails, PDFs and legacy systems. The company's AI-native platform ingests this fragmented data and turns manual procurement and distribution workflows into semi-autonomous processes. It pairs the platform with forward-deployed engineers who work on-site with customers until their toughest operational problems are solved. The startup is backed by a top accelerator, has 7-figure ARR and is scaling quickly across defence, aerospace and industrial sectors.

You have:

• Strong, genuinely full-stack experience: TypeScript/JavaScript, React/Next.js and a backend in Node.js or Python
• Solid experience with PostgreSQL and SQL
• A strong track record that shows engineering excellence, for example: a top technical university, a reputable software house or product company, an elite internship, competitive programming or hackathon results, or past founder experience
• Builder mindset: side projects, open-source contributions, hackathons or 0-to-1 ownership
• Comfort with autonomy, ambiguity and a fast-paced, demanding startup environment
• Clear communication: you can explain and defend your ideas, set reliable deadlines and meet them
• Customer-focused approach: you see code as a way to deliver value and you own your work end to end
• Readiness to relocate to the US within about six months of starting
• Fluent English

Nice to have:

• Experience with complex integrations, data ingestion pipelines or ERP systems
• Experience with Svelte
• Daily use of AI coding tools
• International experience (study or work exchange abroad)
• Startup or founding-engineer experience

What to do:

• Build and ship full-stack features end to end on an AI-native platform for defence and industrial procurement
• Design and build data ingestion pipelines and integrations that turn fragmented data into structured workflows
• Work closely with founders, Deployment Strategists and senior engineers to understand customer problems and solve them
• Write useful, clean and maintainable code, and set a high bar for engineering quality across the team
• Spot and fix bad practices that could hurt the product long term, while making smart trade-offs when needed
• Set reliable deadlines, communicate progress clearly and raise concerns early
• Help shape the engineering culture of a fast-growing early-stage team

We are hiring Forward Deployed Engineers (FDEs) - senior, product-minded builders who are handed a goal, not a backlog, and own it from the first conversation to a shipped product.You will embed directly with the product and business teams who have the problem, and deliver end-to-end.

What you'll own:

• Projects, end-to-end. Take an idea or a problem from discovery -> design -> build -> ship -> iterate, with minimal oversight. You are accountable for the outcome, not just the code.
• Embedding with the teams who own the problem. Sit close to HP's product and business teams, understand what actually matters, and translate ambiguous needs into working software.
• Build fast, then harden. Stand up prototypes in days to validate an idea, then evolve the winners into robust, fully realized products.
• Scope, sequence, and protect delivery. Break an open-ended problem into clear workstreams, sequence them, make explicit trade-offs between scope, speed, and quality, and remove blockers before
they cost you.
• The whole stack. Work across frontend, backend, data, infrastructure, and AI - picking the right tool for the job rather than the one you know best.
• AI as a force multiplier. Use AI coding tools and agentic workflows aggressively to design, build, and ship more - and faster - than a traditional team would.
• AI-native products. Integrate LLMs, agents, retrieval, and real-time / voice capabilities into real products, with the judgment to know when AI is the answer and when it isn't.
• Close the loop with the business. Own a measurable outcome, not just a deliverable - track the metrics that matter, understand how each project creates value, and let impact guide what you build next.
• Feed learnings back into R&D. Share what worked and what didn't, and codify the patterns that work into reusable tools, playbooks, and building blocks the whole team can build on.

Must-haves:

• Deep seniority (7+ years). A track record of owning significant systems or products end-to-end.Evidence of real delivery matters more than a job title.
• True end-to-end / product engineering. You can take something from zero to one and all the way to a shipped, live product by yourself - design, implement, deploy, and operate it - across the full stack.
• AI-native to the core. This goes without saying for us: agentic coding tools like Cursor, Claude Code, and Codex are part of your daily workflow, not an occasional experiment - you build with AI by default.
You stay current with a fast-moving ecosystem and fold new capabilities into how you work the moment hey land.
• Problem decomposition. Handed a vague, open-ended problem, you structure it into a clear plan, reason about the cost and consequence of each option, and prioritize ruthlessly toward impact.
• High autonomy and ownership. You thrive in ambiguity, set your own direction, unblock yourself, and consistently deliver without being managed.
• Exceptional communication. Outstanding written and spoken English. You can run a working session, present a direction, write a crisp doc, and align people who don't think like engineers. For an FDE this is non-negotiable - it is half the job.
• Bias for speed and impact. You ship, learn, and iterate quickly. You would rather validate an idea in a week than perfect a plan for a month.
• Business sense. You understand how businesses work, what the metrics mean, and how the thing you are building actually creates value - and you use that to prioritize.

 

Bonus points
• Experience building AI / LLM products that shipped to real users - agentic workflows, RAG, evaluation frameworks, guardrails, and real-time / voice.
• A 0-to-1, startup, founder, or consulting background - you have worn many hats and been close to customers.
• A portfolio of side projects, open source, or shipped work that shows range and initiative.
• Comfort being embedded with non-technical stakeholders and business teams.

We are looking for a highly skilled Senior Python Developer / Technical Lead with at least 7 years of experience to join our team. This is a hands-on leadership role: you will design and build backend systems yourself, lead small delivery teams, and take products from early proof of concept through to production. You will bring deep architectural understanding, strong expertise in our core stack (Python, FastAPI, MongoDB, PostgreSQL, SQLAlchemy, AWS), and practical experience building AI-powered solutions with Claude.

Key Responsibilities

Technical Leadership & Delivery

• Lead small, cross-functional delivery teams, owning end-to-end product delivery from concept and architecture through development, deployment, and production support.
• Rapidly design and build Proofs of Concept (POCs) and Minimum Viable Products (MVPs) to validate ideas, then evolve successful prototypes into scalable production systems.
• Define technical direction, break down work, set priorities, and keep delivery on track while staying hands-on in the codebase.
• Mentor and support developers, conduct code reviews, and promote engineering best practices across the team.

Architecture & Development

• Design, develop, and maintain scalable, secure, and robust backend solutions using Python and related technologies.
• Make sound architectural decisions covering system design, data modeling, API design, scalability, and trade-offs between speed and long-term maintainability.
• Build high-performance RESTful APIs using FastAPI and integrate with internal and third-party services.
• Optimize application performance and database queries across MongoDB and PostgreSQL.
• Write clean, efficient, reusable, and well-tested code following industry best practices.

AI & Claude Development

• Design and build AI-powered features and applications using Claude via the Anthropic API, including prompt engineering, tool use / function calling, and agentic workflows.
• Integrate LLM capabilities into products in a reliable, cost-efficient, and secure way, including evaluation, monitoring, and handling of model limitations.
• Use AI-assisted development tools such as Claude Code to accelerate delivery and raise team productivity.

Quality, Operations & Collaboration

• Implement comprehensive unit and integration tests to ensure code quality and maintainability.
• Work closely with DevOps to deploy, monitor, and scale applications on AWS.
• Troubleshoot and resolve production issues quickly and thoroughly.
• Collaborate with product managers, designers, and stakeholders to define, design, and ship new features.
• Stay current with developments in Python, cloud, and AI technologies and propose improvements to systems and processes.

Requirements

Mandatory

• Minimum 7 years of professional Python development experience.
• Proven hands-on leadership experience: leading small delivery teams while actively contributing code.
• Demonstrated track record of creating POCs and MVPs and taking products end-to-end into production.
• Deep understanding of software architecture, including system design, distributed systems, API design, and data modeling.
• Hands-on experience developing with Claude (Anthropic API), including prompt engineering, tool use, and building LLM-powered or agentic applications.
• Strong proficiency in FastAPI, MongoDB, PostgreSQL, SQLAlchemy, unit testing (e.g. pytest), and AWS.
• Solid understanding of object-oriented programming and design patterns.
• Experience with RESTful API development and integration.
• Experience with containerization technologies such as Docker.

Education

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Nice to Have

• Experience with Claude Code, the Model Context Protocol (MCP), or retrieval-augmented generation (RAG).
• Familiarity with CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), and Kubernetes.
• Experience with other LLM providers or AI frameworks.
• Background in startup or fast-paced product environments.

What We’re Looking For

• Excellent problem-solving and analytical skills, with a pragmatic, delivery-focused mindset.
• Strong communication and interpersonal skills, able to explain technical decisions to both technical and non-technical stakeholders.
• Ownership and accountability for outcomes, not just tasks.
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities at once.

We are the creators of a new fintech era!

Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.

We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.

Requirements:

We're looking for a Senior / Staff-level engineer with an open mind and a builder's instinct - someone who goes beyond executing tasks and is ready to own the High-Performance practice end-to-end: establish engineering processes, drive R&D, evaluate and champion new technologies, and lead their adoption in production.

The ideal candidate can bridge the gap between business requirements for low latency and high throughput and the realities of existing infrastructure - translating "we need to be faster" into an actionable technical roadmap. You bring a fresh perspective, know how to organize the work, and are equally comfortable optimizing a hardware parameter and presenting a strategy to stakeholders.

We expect 5+ years of hands-on experience as a DevOps/SRE/Systems Engineer in performance-critical environments - and the maturity to grow yourself and grow a team around you.

• Linux: Advanced administration and OS-level tuning — real-time OS configurations, cgroups, CPU isolation, memory management, and low-level network stack configuration.
• Hardware Internals: Deep understanding of CPU power and performance states (C/P-states), Hyper-Threading / SMT trade-offs, TX/RX ring configuration, and the full data path from NIC through PCIe to memory and CPU. Ability to reason about and tune each stage of that path under production load.
• Networking & TCP Internals: Deep knowledge of TCP/IP — congestion control, ACK behavior, buffer tuning, and protocol-level latency sources. Strong Linux networking fundamentals: low-latency NIC configuration, bypass networking technologies (DPDK, RDMA), and market connectivity (multicast feeds, co-location networks, VPNs).
• Performance Engineering: Practical experience profiling latency-sensitive systems; familiarity with tools such as perf, flamegraph, strace, tcpdump, eBPF, and hardware performance counters.
• Containerization: Deep knowledge of Docker and Kubernetes, including low-overhead deployment patterns and performance trade-offs of containerized workloads.
• IaC: Proven track record with Ansible, Terraform, and Helm in production environments.
• Monitoring: Hands-on experience with the Prometheus / Grafana stack; ability to build latency-aware dashboards and alerting (P99, jitter, throughput KPIs).
• Scripting: Solid scripting in Bash and Python; Golang is a strong plus given its role in systems tooling.
• CI/CD & Secret Management: Strong grasp of CI/CD pipelines with experience integrating performance validation stages; familiarity with Vault for secrets management.
• Security: Understanding of DevSecOps principles and Kubernetes security policies.

Key Performance Metrics You'll Work With

Latency Distribution - P99 / P99.9 across the tick-to-trade path, using hardware-level timestamps (NIC/PTP).

Jitter - variance between min/max latency, measured over large sample sets in live market conditions.

Throughput - messages per second (orders + cancels) under exchange burst scenarios.

System Reliability - сontinuous monitoring of uptime

Extra Credit / Big Pluses

• Hands-on experience with kernel-level optimization: syscall reduction, network stack bypass (DPDK, RDMA, Solarflare OpenOnload).
• Background in HFT, algorithmic trading, or other ultra-low-latency production environments.
• Experience with hardware timestamping, PTP/IEEE 1588, and precision time synchronization.
• Familiarity with colocation operations and exchange connectivity (cross-connects, proximity hosting).
• Proven SRE track record with formal SLO/error budget frameworks in latency-sensitive contexts.
• DevSecOps: vulnerability scanning, Zero Trust, RBAC, and secure delivery pipelines.
• Understanding of business processes in FinTech, crypto, or electronic trading.

Responsibilities:

• Low-Latency Infrastructure Ownership: Design, deploy, and continuously optimize infrastructure for latency-sensitive trading systems — market data handlers, order/deal gateways, and risk check engines. Own the full stack from bare metal to application delivery. Define and maintain a reference architecture for low-latency connectivity when onboarding new trading venues, including reproducible configuration baselines, validation procedures, and performance acceptance criteria — so every new venue goes live on a proven, optimized stack.
• Cloud & Hybrid Network Connectivity: Design, implement, and maintain complex low-latency network solutions for cloud provider interconnects - including cross-connects and Direct Connect / ExpressRoute links between cloud regions, hybrid on-premise/cloud topologies, and high-throughput inter-server fabrics. Ensure both latency minimization and fault tolerance at every layer: physical redundancy, failover routing, and path diversity across providers and regions.
• Hardware & OS Stack Tuning: Go deep on the full hardware and OS stack - CPU pinning, C/P-states, HT/SMT configuration, NUMA topology, IRQ affinity, TX/RX ring sizing, NIC offloading, and network stack bypass (DPDK/RDMA where applicable). Understand the complete data path from NIC through PCIe to memory and CPU - and optimize every hop.
• Infrastructure as Code (IaC): Automate provisioning and configuration of high-performance environments using Ansible, Terraform, and Helm - with performance reproducibility as a first-class requirement.
• Latency Profiling & Benchmarking: Systematically profile and debug latency hotspots across the full execution path. Establish and maintain SLA/SLO targets; track P99/P99.9 distributions, jitter, and throughput - not just averages.
• CI/CD for Performance: Build and maintain CI/CD pipelines that include automated latency regression testing, so performance degradations are caught before they hit production.
• Monitoring & Observability: Design and operate comprehensive latency monitoring and alerting systems (Prometheus, VictoriaMetrics, Grafana) - including hardware timestamping (NIC/PTP) and fine-grained performance telemetry.
• Colocation & Network Placement: Research, evaluate, and manage optimal server placements - colocations, cross-connects, proximity hosting. Work closely with network and infrastructure teams to minimize physical and logical distance to exchanges.
• High Availability & DRP: Design systems that maintain stability and reliability under peak load while continuously pushing latency lower - zero regressions, always.
• Cross-Team Collaboration: Work alongside algo developers, quant teams, and network engineers to ensure trading strategies execute with minimal infrastructure overhead.

Working terms

Immerse yourself in Crypto & Web3:

• Master cutting-edge technologies and become an expert in the most innovative industry.

Work with the Fintech of the Future:

• Develop your skills in digital finance and shape the global market.

Take Your Professionalism to the Next Level:

• Gain unique experience and be part of global transformations.

Drive Innovations:

• Influence the industry and contribute to groundbreaking solutions.

Join a Strong Team:

• Collaborate with top experts worldwide and grow alongside the best.

Work-Life Balance & Well-being:

• Modern equipment.
• Comfortable working conditions, and an inspiring environment to help you thrive.
• 24 calendar days of paid leave.
• Additional days off for national holidays.

We are the creators of a new fintech era!

Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.

We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.

Requirements:

We're looking for a DevOps engineer with 4+ years of hands-on experience, at least 2 of them spent building and running data or analytics infrastructure. You've designed systems that move, store, and serve data at scale. Warehouse maintenance is part of your daily routine, and writing Python, Bash, or SQL scripts is second nature. You treat data security as a core responsibility: you protect confidentiality, enforce zero-trust, least-privilege access, and automate everything you touch. Solid IaC skills are a must.

• IaC & CI/CD: Production experience with Terraform, Ansible, and Helm, plus CI/CD systems (GitLab CI, GitHub Actions, Jenkins, or ArgoCD). We expect you to design pipelines, not just use them.
• Containerization: Working knowledge of Docker and Kubernetes, including running data workloads on it (like Spark on Kubernetes, stateful services, operators).
• Cloud: Solid experience with AWS (S3, EC2, EMR, Redshift, Glue, IAM) or an equivalent cloud provider.
• Linux & Networking: Solid Linux administration skills and foundational networking knowledge relevant to distributed systems.
• Analytical Databases: Hands-on operation of ClickHouse and/or the Hadoop ecosystem (HDFS, Hive, YARN), including cluster setup, tuning, and scaling.
• Data Warehouses: Practical experience with Snowflake or Redshift, covering warehouse sizing, workload management, performance tuning, and cost control.
• Large Databases: Experience administering databases at terabyte scale: replication, backup and restore strategies, partitioning, and migrations with minimal downtime.
• SQL & Scripting: Strong SQL skills, including reading execution plans and optimizing heavy queries. Confident in Python and Bash for automation, data parsing, and investigation.
• Data Lakes & Object Storage: Working knowledge of S3-compatible storage, columnar formats, partitioning strategies, and data lifecycle management.
• Orchestration & Streaming: Familiarity with Airflow (or similar orchestrators) and Kafka, and how they fit into data pipelines.

Extra Credit / Big Pluses

• Experience with Tableau, Power BI, Looker, Superset, or similar BI tools, including administration, performance tuning, and data source design.
• Hands-on experience with dbt and analytics engineering practices.
• Experience with open table formats (Apache Iceberg, Delta Lake, Hudi) and query engines like Trino/Presto or Athena.
• FinOps experience in data platforms: managing Snowflake credits, Redshift clusters, and storage costs at scale.
• Spark performance tuning and job optimization.
• Change data capture (CDC) with Debezium or similar tools.
• Data quality tooling (Great Expectations, Soda) integrated into CI/CD.
• Golang or Rust tooling experience.
• Knowledge of data governance and compliance (GDPR, data retention, PII handling).
• Understanding of business processes in the FinTech/Banking/Crypto sector.

Responsibilities:

• Infrastructure Ownership: Own the infrastructure behind our data and analytics platform, from provisioning to daily operations. Keep it reliable, scalable, and cost-efficient as data volumes grow.
• Infrastructure as Code: Provision and configure all data infrastructure with Terraform, Ansible, and Helm. 
• CI/CD Pipelines: Build and maintain delivery pipelines for both infrastructure and data code (ETL jobs, Airflow DAGs, dbt models, schema migrations), with automated testing, safe rollouts, and fast rollback.
• Database & Warehouse Operations: Maintain ClickHouse, Snowflake, Redshift, and вPostgreSQL at multi-terabyte scale, handling replication, backups, upgrades, capacity planning, and disaster recovery.
• Data Lake Storage: Manage S3-compatible data lake storage, including partitioning, file formats, and lifecycle policies.
• Automation & Script Optimization: Refactor and automate Python, Bash, and SQL scripts to cut runtimes and eliminate manual work.
• Performance & Cost: Right-size clusters and warehouses, tune heavy queries, and keep compute and storage spend under control.
• Monitoring & Alerting: Cover data infrastructure with metrics, logs, and alerts for cluster health, pipeline SLAs, and job failures.
• Security & Access Control: Enforce least-privilege access, secrets management, encryption, and auditability for sensitive data.
• BI Infrastructure: Support the infrastructure behind Tableau or similar BI tools.
• Big Data Platforms: Deploy, tune, and troubleshoot Hadoop, Spark, and Kafka clusters in production.
• Collaboration: Work with data engineers, analysts, and developers to turn their workloads into solid infrastructure decisions.
• Security & Access Control: Implement role-based access, secrets management, encryption at rest and in transit, and auditability for sensitive datasets in line with regulatory requirements.

Working terms

Immerse yourself in Crypto & Web3:

• Master cutting-edge technologies and become an expert in the most innovative industry.

Work with the Fintech of the Future:

• Develop your skills in digital finance and shape the global market.

Take Your Professionalism to the Next Level:

• Gain unique experience and be part of global transformations.

Drive Innovations:

• Influence the industry and contribute to groundbreaking solutions.

Join a Strong Team:

• Collaborate with top experts worldwide and grow alongside the best.

Work-Life Balance & Well-being:

• Modern equipment.
• Comfortable working conditions and an inspiring environment to help you thrive.
• 24 calendar days of paid leave.
• Additional days off for national holidays.

With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!

Let’s Build the Future Together!

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Role Overview: You will take ownership of the search infrastructure for Ask Seeking Alpha — a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques.

Tech Stack: Elasticsearch (v8+), Python (FastAPI, Asyncio), OpenAI Embeddings, LangChain, LangSmith.

The Senior Search Engineer will be engaged with the company as a contractor (Private Entrepreneur).

What You'll Do

• Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
• Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
• Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
• Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
• Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.

Requirements

• Elasticsearch Expert: 5+ years of experience working with Search Engines in production. You understand how indices, analyzers, and mappings work "under the hood."
• Search Theory: You understand the difference between Lexical Search (keywords) and Vector Search (meaning), and know when to use which.
• Python Proficiency: Strong experience with Python 3.10+. You are comfortable writing asynchronous code (async/await) and building APIs.
• Data Engineering: Experience designing data schemas for search (how to structure JSON documents for efficient retrieval).

Nice to Have

• Experience building RAG (Retrieval-Augmented Generation) pipelines.
• Familiarity with LangChain or similar LLM frameworks.
• Experience with Evaluation tools (like LangSmith) to test search quality automatically.
• Background in Finance (understanding tickers, earnings calls, etc.).

We are looking for a Head of Partner Network to build and lead the affiliate direction across several iGaming brands.

This role comes with full ownership of the function: from defining the partner network model and commercial strategy to building the team, processes, and partner base. You will be responsible for traffic growth, partner performance, P&L, and the overall efficiency of the channel.

A major part of the role will be developing a strong network of webmasters and affiliate partners, creating competitive commercial conditions, and deciding how traffic should be distributed and scaled across different brands and markets.

What Will You Do:

• Build the Partner Network from scratch: define its structure, positioning, commercial model, processes, and 12-month development roadmap.
• Develop and grow a strong base of webmasters and affiliate partners, including direct acquisition, negotiations, retention, and partner development.
• Own partner commercial terms and incentive models, continuously improving deals based on traffic quality and profitability.
• Plan and manage traffic volumes across the group's brands and markets, identifying where and how traffic can be scaled.
• Own the financial performance of the direction, including budgets, margins, forecasts, KPIs, and P&L.
• Set up clear onboarding, tracking, quality control, payouts, and anti-fraud processes.
• Build and manage the Partner Network team, including Affiliate Managers, Business Development, and support functions.
• Create reporting and performance standards that give clear visibility into partner, GEO, brand, and channel profitability.

What We are Looking For:

• 5+ years of experience in iGaming / gambling / betting marketing.
• 3+ years in a senior leadership role such as Head of Affiliates, Head of Acquisition, CMO, or similar.
• Strong experience building and scaling affiliate/partner acquisition.
• Solid understanding of acquisition economics and key metrics: FTD, CPA, ARPU, LTV, ROI, conversion and retention.
• Experience working with significant marketing budgets and high traffic volumes; experience scaling to 10K+ FTDs is a strong advantage.
• Strong understanding of different acquisition channels, including Affiliates, Paid Social, Google, SEO/ASO, and Influencers.
• Strong commercial and negotiation skills with experience structuring and optimizing partner deals.
• Comfortable working with BI/reporting tools, forecasting, media planning, and performance analysis.
• Good understanding of unit economics, funnels, CJM, and traffic monetization.
• Fluent in Ukrainian\Russian, B2+ English

We are looking for a Mid Data Engineer in Kraków, Poland who will own the company data lake — the system of record for millions of financial events a day (bets, wallet movements, live odds) across 12M+ active users. You decide how that data lands, is stored, retained, and governed on S3 + Snowflake/Databricks, so analytics, finance, and regulators all see accurate, reconciled data with zero drift from source.

Domain: Regulated iGaming / wallet & ledger data. Audit-heavy: regulators, finance and analytics all consume the same tables. Millions of financial events per day, terabyte-plus scale.
 

What you'll be doing:

• Own the lakehouse architecture: bronze/silver/gold layers, Iceberg/Delta tables, schema evolution.
• Land operational data via CDC streaming (Kafka, Debezium), handling late and duplicate events.
• Design data layout for speed and cost: partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Own retention and archival: storage tiering, regulatory retention, immutability, GDPR deletion.
• Guarantee correctness: freshness SLAs, drift detection, reconciliation against the source wallet and ledger systems.
• Own governance: catalog and lineage, row/column access control, PII masking, encryption, audit trails.
• Monitor ingestion health, data anomalies, and cloud storage/compute spend.
  
  Must-have:
• 3 years' experience in hands-on delivery within that architecture — pipelines, ingestion, models, monitoring
• Lakehouse architecture — bronze/silver/gold layering, an open table format (Iceberg, Delta, or Hudi), schema evolution.
• Data layout & query optimization at TB+ scale — partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Cloud lakehouse/DWH in production — Snowflake, Databricks, or BigQuery.
• CDC & streaming ingestion — Kafka + Debezium or equivalent; late, duplicate and out-of-order events.
• Strong SQL and data modeling — enough relational grounding to reason about the OLTP systems you capture from. Critical for financial ledgers.
• Correctness — freshness SLAs, drift detection, reconciliation against source wallet/ledger systems.
• Governance — catalogs, lineage, row/column access control, PII masking, retention, GDPR deletion.
• Cloud object storage — S3 or GCS, plus storage tiering and archival.

• Python and an orchestrator — Airflow or Dagster, as tools.

   

  Location & work model:

• Kraków, Poland. Hybrid — 2 days per week from the office.

ZentixSoft is looking for a Senior Platform / Cloud / SRE Engineer! 🚀

Format: Full-Time Outstaffing, long-term engagement (7+ months).

Start Date: December 1, 2026 / January 1, 2027.

Location: Remote (Nearshore options included).
 

🧩 Responsibilities:

• AI Platform & AWS Infrastructure: Design, deploy, and evolve scalable AWS-based cloud platform solutions providing highly available infrastructure for dev teams.
• Infrastructure as Code: Build, automate, and maintain cloud environments using Terraform.
• Kubernetes Operations: Administer, optimize, and operate enterprise-grade Kubernetes clusters at scale.
• DevOps & Developer Enablement: Develop and optimize CI/CD pipelines and implement GitHub Enterprise as the core development platform.
• Observability & Security: Build monitoring, logging, and tracing solutions (Grafana, Prometheus), define operational standards, and ensure cloud security compliance.
• Reliability & Incident Management: Troubleshoot performance bottlenecks, automate operational tasks, and maintain high availability and stability across environments.
   

🎓 Our Perfect Match (Requirements):

• Hands-on Experience: Several years of proven experience as a Platform Engineer, Cloud Engineer, or SRE in large-scale or enterprise environments.
• AWS & Infrastructure as Code: Deep, hands-on AWS expertise alongside extensive Terraform automation experience.
• Kubernetes at Scale: Multi-year experience operating Kubernetes clusters supporting high application density and complex operational requirements.
• Tooling & Platform Stack: Direct experience with GitHub Enterprise, CI/CD processes, and modern observability stacks (Grafana, Prometheus, etc.).
• Mindset & Independence: Strong hands-on mentality, proven ability to independently design and implement technical concepts, and a focus on operational automation.
   

➕ Nice to Have:

• Experience in Energy, Trading, or Financial Services sectors.
• Background in Developer Enablement, Platform Engineering, and Cloud Security/Compliance.
• Exposure to multi-cloud or hybrid-cloud setups.

ZentixSoft is looking for a Data Architect! 🚀

Format: Full-Time Outstaffing, long-term contract (12 months), 100% Remote.

💡 Why ZentixSoft?
 💸 Salary Review: A structured system of compensation reviews aligned with your engineering growth. 
⚖️ Work-Life Balance: Sustainable workflows with no senseless overtime, helping you keep your resource fully charged. 
🦾 Trust and Transparency: Zero micromanagement and no invasive time-trackers—we fully trust your professional autonomy. 
🎁 Gifts & Culture: Corporate gifts for holidays, birthdays, and a true team atmosphere where your voice always matters.
 

🧩 Role Overview & Responsibilities:

We are looking for a hands-on Data Architect to take full architecture ownership of a complex data platform. In this role, you will assess, stabilize, improve, and modernize the existing architecture, delivering rapid, actionable engineering recommendations.

• Architecture Ownership: Define tactical (immediate stabilization) and target (long-term modernization) architectures that engineering teams can directly execute.
• Platform Modernization: Assess complex, legacy data environments; identify performance/scalability bottlenecks; and deliver clear, implementation-ready architectural outputs.
• Unstructured & Structured Data: Architect data pipelines and modeling frameworks capable of handling unstructured data (documents, PDFs, free text, scanned content, images) and structured/file-based datasets.
• Tech-Neutral Evaluation: Evaluate enterprise technologies based on scale, cost, workload, and business requirements rather than preference (determining when Databricks, Synapse, ADF, or Azure SQL are truly justified).
• Data Modeling & Pipelines: Design robust ETL/ELT frameworks, dimensional schemas, star schemas, and incremental processing/refresh strategies.
• Documentation & Governance: Create detailed architecture diagrams, technical decision logs, and data governance standards.
   

🎓 Our Perfect Match (Requirements):

• Proven Architecture Ownership: 4+ years of recent, demonstrated experience as a Data Architect owning overall Azure Data Platform architectures (candidate must be an Architect, not solely a Data Engineer).
• Azure Data Platform Expertise: Extensive hands-on background with Azure Data Services, including Azure SQL / SQL Server, Azure Data Lake, Azure Data Factory (ADF), Azure Synapse, and Databricks.
• Azure Cosmos DB (MUST-HAVE): Hands-on experience working with Azure Cosmos DB and file-based data stores within enterprise environments.
• Data Engineering Core: Strong mastery of Python, SQL, ETL/ELT, and Lakehouse architectures.
• Unstructured Data Experience: Proven track record handling unstructured data sources (documents, PDFs, text, scanned files).
• Fast Delivery & Problem Solving: Ability to onboard quickly into complex environments, navigate incomplete documentation, and deliver meaningful architectural guidance rapidly.
• Communication & English: Fluent English (C1) with exceptional technical writing and stakeholder communication skills.
   

📍 Project Details:

⏳ Duration: 12 Months (Full-time, 100% Remote).

🕒 Time Zone: CET / CEST.
 

We look forward to receiving your CV (please ensure your CV details your project contexts, architecture ownership, and hands-on Cosmos DB/Azure experience).

In short:
We're an AI product studio with $2.25M raised and a portfolio of 4 products, looking for an operational marketer who can turn reach into paying customers in the US market.

We have a content farm running 500 accounts, a UGC network, 13 people in marketing, and $50K/month in paid acquisition budget from day one. What we're missing is someone who can turn all of this into a working revenue machine.

If you've run paid traffic for real money in iGaming, crypto, or mobile subscriptions, and you know your CAC without hesitation — read on.

About the company
An AI product studio. We build our own products and take them to market ourselves.

• Stage: post-seed, $2.25M raised
• Portfolio: 4 products spanning AI/fintech (crypto investing agent — our main bet), martech/AI SaaS, and other consumer apps
• Monetization: B2C subscription at $59/month plus contract revenue
• Market: US and Western Europe

• Distribution: content farm of 500 accounts, UGC network, paid channels

   

What you get

Full revenue mandate. All products, all channels, including sales. You decide what to scale, what to shut down, who to hire, and who to let go within marketing.

Ready-made assets, not a blank slate:

• Content farm of 500 accounts (operating cost ~$14,500/month) — generates reach, but the link to paying customers hasn't been measured
• UGC network with a Telegram bot and CRM — 46% utilization, unit economics need fixing
• Team of 13 people across three units (Content Engine, Marketing & Sales, UGC Network)
• Paid acquisition budget of $50K/month from day one, expanding to $150K once LTV/CAC ≥ 3 — no approvals needed

No restrictions on methods. Multi-accounting, arbitrage, affiliates, aggressive funnels — all fair game if it brings paying customers and doesn't create legal risk.

Uncapped revenue share: 6% of recurring revenue from the customer base you bring in (8% at LTV/CAC ≥ 4). No ceiling. At $250K MRR, your variable comp is $20K/month on top of base.

Equity option: 1–2% in the holding company (across the whole product portfolio, not a single project).

Career path: CMO → CRO within 12–18 months. The role is designed as a track toward running the studio's entire revenue engine.

What's expected of you

First 90 days (by December 31, 2026)

• Build end-to-end analytics: click → signup → trial → payment, across all products. Currently none exists.
• Launch a paid channel and hit a repeatable CAC below the $138 ceiling within 3 weeks, at ≥100 paying customers/month
• Calculate the real CPA of the content farm and decide: scale it or shut it down
• Make personnel decisions on all 13 team members. We don't expect you to keep the current team as-is.

By month 6 (by March 31, 2027)

• $60K MRR minimum, $100K MRR target
• LTV/CAC ≥ 3 across the portfolio
• ≥40% of paying customers from owned channels (not paid ads)

• At least 2 channels scaled

   

Compensation
Base: $7,000 → $8,500 (after 90 days) → $10,000 (at $150K studio MRR)

Variable: 6% of recurring revenue from clients you acquire, paid monthly for as long as they pay. 8% at LTV/CAC ≥ 4. Contract deals: 3%. No cap.

Must-have

• 6+ years in performance/growth marketing, 3+ years managing a team
• Background in iGaming, crypto, Web3, or mobile subscriptions — expensive-traffic environments
• Subscription-model fluency: cohorts, trial-to-paid, payback — not just CPC
• Experience acquiring paying customers in the US/Western Europe, English-language creative
• Managed a budget of ≥$50K/month
• 0→1 experience with channel-level numbers to show for it
• Hands-on experience with multi-accounting, affiliates, or content farms
• You build your own cohorts and read the funnel yourself
• English C1+

Nice to have

• Experience at a venture builder or multi-product studio
• Personal network in the creator economy / affiliate market
• Experience launching a crypto or fintech product at retail scale
• AI tools in daily workflow

Not a fit if:

• You only have brand experience, no acquisition numbers to show
• Agency-only background, no P&L ownership
• You need existing processes in place to get started
• You're not comfortable with outcome-tied compensation

Hiring process
Numbers-based screening (20 min) → Interview with CEO (60 min) → Take-home assignment (5 days) → Panel defense with CEO+CCO+CTO (90 min) → Offer