Jobs

We build Arabic and English chat and voice assistants for UAE government services. They answer questions from official documents with citations, and they complete real transactions: traffic fines, licence renewals, payments, identity verification, all through SOAP and REST integrations with government systems.

Our work spans two worlds. Some projects run in the cloud with hosted models and managed GPUs. Others run fully on-premise inside air-gapped government networks: local models on our own GPU servers, no internet, no external APIs. You will work across both, and you will ship the same quality in each.

We are a small team and we deliver fast. A full system typically goes from requirements to production in under 30 days. That pace is possible because each engineer owns their work end to end: read the documents, build the feature, integrate the services, test the complete journey in chat and voice, package the release, and support it live.

What you will build

• Chat applications: multi-step citizen journeys with intent detection, tool calling, confirmations, and clean handling of records like vehicles, fines, and receipts. English and Arabic, including right-to-left layouts.
• Voice: streaming speech recognition and synthesis, barge-in, interruption handling, and smooth handoff from voice to visual UI for forms, payments, and OTP.
• RAG pipelines: ingestion of PDF, DOCX, scanned and bilingual documents; hybrid retrieval; reranking; citations that point to the exact source; evaluation so we know retrieval actually works.
• Agentic workflows: model reasoning combined with deterministic controls, so the assistant completes real services and never invents fees, eligibility rules, or records.
• Model serving: hosted model APIs and cloud GPUs on some projects; open models served locally with vLLM or similar on others, including quantization, latency, and throughput tuning on government hardware.
• Integrations: SOAP 1.1/1.2, WSDL, XML, and REST services; UAE PASS and OAuth identity flows; payment gateways with callbacks, receipts, idempotency, and audit logs.
• Deployment: containers, systemd, reverse proxies, TLS. For air-gapped sites, complete offline packages: Python wheels, model weights, container images, migrations, and rollback, with nothing silently downloaded at install time.

How we work

This part matters as much as the technical list. You will often be the only engineer on a delivery, working directly from client documents and existing code.

• You start from the documentation and the codebase, not from a task-by-task checklist.
• You search the docs, code, logs, WSDLs, and captured traffic before asking for help, and you escalate only when something genuinely blocks you: a missing credential, an external contract, a business decision.
• You fix root causes, not symptoms, and you check whether the same defect exists in the paths nobody reported.
• You test your own work across the whole journey before calling it done: chat, voice, retrieval, integrations, UI, deployment, and the scenarios your change might have broken. Done means verified, not "the model answered correctly once."
• You give short, honest progress updates with realistic estimates, especially when something slips.
• You stay accountable for the outcome the citizen sees, not just the component you wrote.

What we need from you

• 4+ years of production Python: async services, APIs, background workers, real error handling.
• LLM applications you actually shipped: RAG, tool calling, or agents doing useful work in production.
• Experience with hosted model APIs, and either experience running open models on GPUs or the clear ability to learn it fast.
• Solid Linux: containers, networking, TLS, and debugging a server that has no internet access.
• Integration skill: you can take a WSDL or API spec, get a working integration, and diagnose it when the live service disagrees with the documentation.
• The independent working style described above, for real, not as an interview answer.
• Based in the UAE or able to relocate quickly; the role is primarily on-site.

Strong pluses (we will teach what you are missing)

• Arabic, especially Gulf dialect, and English-Arabic code-switching
• Streaming speech systems: ASR, TTS, WebSockets, WebRTC
• GPU serving and quantization (vLLM, TensorRT-LLM, or similar)
• UAE PASS, UAE government services, or payment gateway integrations
• Air-gapped packaging: offline repositories, checksums, SBOMs
• SQL Server or comparable enterprise databases

ZentixSoft is looking for a Senior Data Architect! 🚀

Format: Full-Time Outstaffing, long-term remote engagement. You will take full end-to-end ownership of target-state data architecture across multi-cloud environments.
 

💡 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.
 

🧩 Responsibilities:

• Architecture Ownership: Define and own the target-state data architecture across both AWS and Azure cloud environments.
• Platform & Processing Design: Architect enterprise data lakes/warehouses, storage layers, ingestion patterns, and processing frameworks utilizing distributed systems (Spark).
• Governance & Security: Establish enterprise data governance, security, compliance, and access-control standards across both cloud ecosystems.
• Tool & Vendor Evaluation: Evaluate tools/services across AWS and Azure, balancing performance, scalability, maintainability, and cloud costs.
• Technical Leadership & Delivery: Provide architectural oversight and detailed technical documentation to engineering leads during implementation, supporting cloud migration and multi-cloud integration initiatives.

🎓 Requirements:

• Architect Experience: 8+ years in data architecture and engineering, with clear senior/lead-level design responsibility and platform ownership.
• AWS Stack: Deep hands-on architecture experience with AWS (S3, Redshift, Glue, Lake Formation, Athena).
• Azure Stack: Deep hands-on architecture experience with Azure (ADLS, Synapse, Data Factory, Databricks).
• Data Engineering Core: Mastery of data modeling, ETL/ELT pipelines, distributed data processing (Spark), and enterprise data lakes/warehouses.
• Governance & Migrations: Proven track record leading multi-cloud integrations, cloud migrations, and establishing data security and governance standards.
• Communication: Excellent stakeholder communication skills to present architectural decisions to both technical teams and business leadership.
   

➕ Nice to Have:

• Cloud Certifications (AWS Certified Solutions Architect, Azure Solutions Architect Expert).
• Experience with Data Mesh or Domain-Driven Data Architecture.
• Experience in regulated industries (Finance, Healthcare, etc.).
   

📍 Project Details:

⏳ Duration: Long-term (Full-time).

📍 Location: Fully Remote.

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

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

Responsibilities:

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

Requirements:

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

Would be a plus:

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

What we offer

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

We are inviting you, a highly motivated and results-oriented Security Manager (Hybrid Infrastructure) to join our team on a full-time basis.

Our team has unique expertise in research, analysis, and product development. By relying on technical insights and a data-driven approach, we create disruptive future-defining innovations of the fin-tech industry that remain our basis for success.
 

Responsibilities

• Own and lead Hybrid Infrastructure Security across cloud, network, identity, endpoint, and data domains
• Define and enforce enterprise security guardrails, approving low/medium-risk platform exceptions
• Lead CSPM/CNAPP/CWPP, WAF, DNS security, and IaC scanning across cloud environments
• Manage cloud IAM and security-group guardrails in close collaboration with Platform and SRE teams
• Operate and mature endpoint security (EDR/XDR/MDM) across managed devices, including hardening and telemetry health
• Own data security and cryptography controls: KMS, secrets management, PKI, and certificate lifecycle
• Lead, mentor, and develop a team of security engineers (4 direct reports — Cloud & Network, Endpoint, IAM, Data Security & Cryptography)

Track, analyze, and report enterprise security metrics

Requirements

• 5+ years of experience in managing and developing security teams
• Proven track record in hands-on cybersecurity engineering roles
• Enterprise-level background
• Practical experience with on-premises environments
• Solid experience with networking
• Hands-on experience with cloud platforms
• Broad experience across cloud posture, network, identity, endpoint, and data protection security domains
• Experience with CSPM/CNAPP/CWPP tooling and cloud guardrails (WAF, DNS security, IaC scanning)
• Experience with cloud IAM and security-group/IaC security patterns
• Experience operating EDR/XDR and MDM solutions
• Experience with KMS, secrets management, PKI, and certificate management
• Ability to enforce security controls without unnecessarily blocking delivery for Platform/SRE/DevOps teams
• Upper-Intermediate English and higher

Will be a plus

• Higher education in Computer Science, Information Security
• Background in fintech, brokerage, trading platforms, payments, or other regulated environments
• Track record of building or maturing an enterprise/cloud security function from an early stage
• Familiarity with tools such as Wiz, Panorama, Elastic Defender, Entra, or CyberArk
• Knowledge of Kubernetes/container security and cloud-native architectures
• Exposure to SOC 2, ISO 27001, or DORA compliance frameworks
   

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical budget
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.

The future of Web3 starts with you: join us as a Senior Analyst.

Requirements:

— 5+ years in analytics at a Trading Desk, CEX, prop trading or market-making firm — not bank BI analytics
— Deep hands-on knowledge of trading mechanics: P&L attribution, spread, slippage, funding rates, quoting uptime, inventory exposure — candidate knows these metrics from practice, not from textbooks
— Python — mandatory: pandas, numpy, report automation, exchange 
API data processing
— SQL — advanced: window functions, CTEs, time-series aggregations
— Tableau — proficient: calculated fields, blending, workbook publishing
— Grafana — operational dashboard design, alert configuration
— Track record of building P&L, position, and operational reports from scratch for a trading desk
— Ability to define the right KPIs independently without extensive onboarding
— Understanding of crypto exchange mechanics: derivatives, futures, spot/perp

Responsibilities:

— Build and own management reporting — independently, from week one
— Configure and maintain dashboards for real-time operational monitoring with alerting
— Audit existing dashboards and correct inaccurate metrics — including restoring broken monitors
— Independently define KPIs: proposes the structure, does not only execute tasks
— Formulate data requirements and pass requests to the tech team
— Support the reporting cycle (daily / weekly / quarterly) with direct interaction with desk heads
— Document calculation methodology and standardise metric definitions

It will be a plus:

— Experience working with market makers or institutional liquidity providers
— Familiarity with major CEX platforms (OKX, Binance, Bybit)
— Experience integrating external market datasets

Working conditions:

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.
— 22 business days of paid leave.
— Additional days off for national holidays.
— Health insurance.

Responsibilities

• Build and execute the regional go-to-market strategy, including target accounts, market segmentation, competitive positioning, partnerships, and sales priorities.
• Own regional revenue targets and take full responsibility for market growth.
• Own the full enterprise sales cycle for strategic accounts, from prospecting and first meetings through negotiation and signed contracts.
• Proactively identify and bring in new customers across banks, brokerages, asset managers, wealth platforms, and other financial institutions.
• Build sales processes, market-entry strategies, and commercial activities from scratch when entering or developing a new region.
• Develop and manage local partnerships that support pipeline generation, market credibility, and business development.
• Build strong relationships with senior stakeholders and decision-makers across financial institutions.
• Represent BridgeWise in meetings with senior executives, commercial stakeholders, and technology teams.
• Understand customer needs and communicate BridgeWise’s offering within the context of capital markets, financial data, APIs, iframe integrations, and B2B technology solutions.
• Work closely with Product, Customer Success, Marketing, Partnerships, and other internal teams to move opportunities forward and support customers.
• Take ownership of opportunities and business needs even when they fall outside the traditional scope of the role.
• Hire, coach, and manage regional sales talent as the market grows.
• Build and maintain an active network of relevant contacts within the region.
• Provide regular reporting on pipeline, forecasts, market developments, competitive activity, and overall regional progress to global leadership.

Requirements

• 7+ years of experience in enterprise, institutional, or B2B sales, ideally within Fintech, Capital Markets, Financial Data, WealthTech, or B2B SaaS.
• Proven track record of closing complex, high-value B2B deals.
• Experience selling to or working with banks, brokerages, asset managers, wealth platforms, or other financial institutions.
• Strong understanding of the capital markets ecosystem and the ability to communicate comfortably using relevant financial and technical terminology.
• Ability to understand and discuss technology concepts relevant to the sales process, including APIs, iframe integrations, data platforms, and B2B software integrations.
• Strong understanding of markets, customer structures, buying processes, and commercial decision-making.
• Existing network of relevant contacts within the target region.
• Proven ability to build sales processes, pipelines, partnerships, and market presence from scratch.
• Entrepreneurial mindset with a strong ability to identify opportunities and turn them into commercial results.
• Highly autonomous and comfortable operating with significant ownership in a fast-moving startup environment.
• Willingness to take initiative and handle responsibilities outside the strict boundaries of the role when needed.
• Excellent communication, negotiation, and relationship-building skills.
• Excellent English, with the ability to lead high-level business conversations and negotiations.
• Fluent in the primary language of the relevant region.

This is a fantastic opportunity to join a growing company at the heart of the digital manufacturing revolution. Our software product is transforming manufacturing through automation. We are trusted by global brands and work across sectors (aerospace, defence, mobility, industrials etc).

Our product is fast transforming into an AI-first SaaS product. We are best in-class in our sector and growing +100% per annum. Our engineering teams are well established with long-term committed team leaders.
 

This is your opportunity to:

• Be part of a fast-growing software product company in advanced manufacturing.
• Lead the day to day engineering teams of a fast-growing venture.
• Lead managers, teams across different functions (development, QA, UX, architecture, devOps).
• Learn and fulfill your potential in an open, knowledge-driven culture.

Responsibilities:

• Manage day to day engineering operations.
• Manage 6 engineering teams.
• Project vision and leadership.
• Manage hands-on technical escalations.
• Oversee infrastructure (reliability, uptime etc).
• Interface business teams in London.
• Drive quality, efficiency, technical excellence.

You will be joining a well-versed team if you have:

• Min 5 years of experience as a Node.JS, React.JS Software Engineer.
• Min 2 years of experience as a Software Engineering Team Leader.
• Min 2 years of experience as an Engineering Manager .
• Experience in handling high-complexity SaaS products.
• Experience in managing teams with over 20 engineers.
• Strong architectural experience.
• Strong hands-on technical background.
• Started career as a software engineer.
• Degree in Computer Science.

Project Description:

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.
This is the kind of engagement where your recommendations directly shape a multi-phase, multi-million-pound programme: the target-state framework you produce here becomes the blueprint that a larger delivery team will execute against. Perfect opportunity for combining deep data engineering knowledge with architecture leadership, stakeholder influence, and structured delivery planning inside a Tier 1 financial services environment

Responsibilities:

- Design, build, and maintain ETL/ELT pipelines on AWS
- Migrate existing data pipelines and workloads from legacy/on-prem systems to AWS
- Develop and optimize data models for data warehouse/data lake (Redshift, S3)
- Build and orchestrate data workflows (Glue, Step Functions, Lambda, EMR)
- Implement data quality checks, validation, and reconciliation processes
- Optimize pipeline performance and manage compute/storage costs
- Ensure data security and access control (IAM, KMS, encryption)
- Monitor and troubleshoot pipeline failures (CloudWatch, logging)
- Collaborate with data analysts, BI developers, and architects on data requirements
- Document data pipelines, architecture, and operational runbooks

Mandatory Skills Description:

- 5+ years of experience
- Hands-on experience building data pipelines on AWS (Glue, EMR, Lambda, Step Functions)
- Strong SQL and experience with data warehousing (Redshift, dimensional modeling)
- Proficiency in Python or Scala for data engineering
- Experience with S3-based data lake architecture (partitioning, cataloging, formats like Parquet)
- Experience migrating data pipelines from on-prem or other cloud platforms
- Understanding of data governance, security, and access control on AWS
- Experience with CI/CD for data pipelines

Nice-to-Have Skills Description:

- AWS certification (Data Analytics Specialty or Data Engineer Associate)
- Experience with streaming data (Kinesis, MSK/Kafka)
- Familiarity with Infrastructure as Code (Terraform/CloudFormation)
- Experience with orchestration tools (Airflow, dbt)
- Experience in financial domain

Languages:

English: C2 Proficient

Project Description:

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.

Responsibilities:

-Target-state architecture design — define and own the target-state AWS architecture across compute, data, and orchestration layers
-HLD/LLD ownership — produce and own High-Level Design and Low-Level Design documentation for migration workloads
-ARB submissions — prepare and present architecture proposals to the Architecture Review Board for approval
-Technical decisions — make and document key technical decisions across the migration program, balancing trade-offs (cost, performance, scalability)
Pattern definition — define reusable architecture and migration patterns for use across teams/pods
-Agentic AI framework architecture — design the architecture for the Agentic AI migration framework, including its integration with the broader technical landscape

Mandatory Skills:

AWS Database Migration Service

Mandatory Skills Description:

- 5+ years experience
- hands-on experince with AWS Migration
- AWS Glue, Step Functions, Lambda, EventBridge — deep hands-on experience designing solutions using these core AWS services
- IaC (Terraform) — strong experience defining and managing infrastructure as code with Terraform
- Data platform architecture — proven experience architecting data platforms (data lakes, warehouses, pipelines) at scale
- PySpark — hands-on experience with PySpark for large-scale data processing
- CI/CD — experience designing and implementing CI/CD pipelines for infrastructure and data workflows
- AI/ML frameworks — working knowledge of AI/ML frameworks and their application within architecture design
- GitHub Copilot — practical experience using GitHub Copilot within development/architecture workflows

Nice-to-Have Skills Description:

- AWS certification (Data Analytics Specialty or Solutions Architect)
- Experience with BI tools (QuickSight, Tableau, Power BI)
- Infrastructure as Code experience (Terraform/CloudFormation)
- Industry experience relevant to your business
- Exposure to streaming data (Kinesis) or ML pipelines (SageMaker)
- experince in financial domain

Languages:

English: C2 Proficient

Project description

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.

Responsibilities

-Target-state architecture design — define and own the target-state AWS architecture across compute, data, and orchestration layers

-HLD/LLD ownership — produce and own High-Level Design and Low-Level Design documentation for migration workloads

-ARB submissions — prepare and present architecture proposals to the Architecture Review Board for approval

-Technical decisions — make and document key technical decisions across the migration program, balancing trade-offs (cost, performance, scalability)

Pattern definition — define reusable architecture and migration patterns for use across teams/pods

-Agentic AI framework architecture — design the architecture for the Agentic AI migration framework, including its integration with the broader technical landscape

Skills

Must have

5+ years experience

hands-on experince with AWS Migration

AWS Glue, Step Functions, Lambda, EventBridge — deep hands-on experience designing solutions using these core AWS services

IaC (Terraform) — strong experience defining and managing infrastructure as code with Terraform

Data platform architecture — proven experience architecting data platforms (data lakes, warehouses, pipelines) at scale

PySpark — hands-on experience with PySpark for large-scale data processing

CI/CD — experience designing and implementing CI/CD pipelines for infrastructure and data workflows

AI/ML frameworks — working knowledge of AI/ML frameworks and their application within architecture design

GitHub Copilot — practical experience using GitHub Copilot within development/architecture workflows

Nice to have

AWS certification (Data Analytics Specialty or Solutions Architect)

Experience with BI tools (QuickSight, Tableau, Power BI)

Infrastructure as Code experience (Terraform/CloudFormation)

Industry experience relevant to your business

Exposure to streaming data (Kinesis) or ML pipelines (SageMaker)

experince in financial domain

Other

Languages

English: C2 Proficient

• This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
  During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
  The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.
  This is the kind of engagement where your recommendations directly shape a multi-phase, multi-million-pound programme: the target-state framework you produce here becomes the blueprint that a larger delivery team will execute against. Perfect opportunity for combining deep data engineering knowledge with architecture leadership, stakeholder influence, and structured delivery planning inside a Tier 1 financial services environment

• Responsibilities:

  - Design, build, and maintain ETL/ELT pipelines on AWS
  - Migrate existing data pipelines and workloads from legacy/on-prem systems to AWS
  - Develop and optimize data models for data warehouse/data lake (Redshift, S3)
  - Build and orchestrate data workflows (Glue, Step Functions, Lambda, EMR)
  - Implement data quality checks, validation, and reconciliation processes
  - Optimize pipeline performance and manage compute/storage costs
  - Ensure data security and access control (IAM, KMS, encryption)
  - Monitor and troubleshoot pipeline failures (CloudWatch, logging)
  - Collaborate with data analysts, BI developers, and architects on data requirements
  - Document data pipelines, architecture, and operational runbooks

• Mandatory Skills Description:

  - 5+ years of experience
  - Hands-on experience building data pipelines on AWS (Glue, EMR, Lambda, Step Functions)
  - Strong SQL and experience with data warehousing (Redshift, dimensional modeling)
  - Proficiency in Python or Scala for data engineering
  - Experience with S3-based data lake architecture (partitioning, cataloging, formats like Parquet)
  - Experience migrating data pipelines from on-prem or other cloud platforms
  - Understanding of data governance, security, and access control on AWS
  - Experience with CI/CD for data pipelines

• Nice-to-Have Skills Description:

  - AWS certification (Data Analytics Specialty or Data Engineer Associate)
  - Experience with streaming data (Kinesis, MSK/Kafka)
  - Familiarity with Infrastructure as Code (Terraform/CloudFormation)
  - Experience with orchestration tools (Airflow, dbt)
  - Experience in financial domain

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.

• Responsibilities:

  -Target-state architecture design — define and own the target-state AWS architecture across compute, data, and orchestration layers
  -HLD/LLD ownership — produce and own High-Level Design and Low-Level Design documentation for migration workloads
  -ARB submissions — prepare and present architecture proposals to the Architecture Review Board for approval
  -Technical decisions — make and document key technical decisions across the migration program, balancing trade-offs (cost, performance, scalability)
  Pattern definition — define reusable architecture and migration patterns for use across teams/pods
  -Agentic AI framework architecture — design the architecture for the Agentic AI migration framework, including its integration with the broader technical landscape

• Mandatory Skills Description:

  - 5+ years experience
  - hands-on experince with AWS Migration
  - AWS Glue, Step Functions, Lambda, EventBridge — deep hands-on experience designing solutions using these core AWS services
  - IaC (Terraform) — strong experience defining and managing infrastructure as code with Terraform
  - Data platform architecture — proven experience architecting data platforms (data lakes, warehouses, pipelines) at scale
  - PySpark — hands-on experience with PySpark for large-scale data processing
  - CI/CD — experience designing and implementing CI/CD pipelines for infrastructure and data workflows
  - AI/ML frameworks — working knowledge of AI/ML frameworks and their application within architecture design
  - GitHub Copilot — practical experience using GitHub Copilot within development/architecture workflows

• Nice-to-Have Skills Description:

  - AWS certification (Data Analytics Specialty or Solutions Architect)
  - Experience with BI tools (QuickSight, Tableau, Power BI)
  - Infrastructure as Code experience (Terraform/CloudFormation)
  - Industry experience relevant to your business
  - Exposure to streaming data (Kinesis) or ML pipelines (SageMaker)
  - experince in financial domain

Our client is a fast-growing, fast-paced software development organization with a mission to build new ways of interacting with information. They leverage intellectual property and their cloud infrastructure expertise to address complex, real-time data and analytics needs in the enterprise. Their teams are comprised of successful people who enjoy solving problems, engaging in substantive technical discussions, and have a strong passion for their work. They have high expectations in terms of skill, motivation, self-organization, and productivity. They value people who excel at working in collaborative, virtual, and collocated groups, and who thrive in fast-paced Agile development environments.
 
About the Role:
We are seeking a Senior DevOps Engineer for our client. In this role, you will take ownership of building a new AWS tenant from scratch, including the full environment setup and ongoing management. You will play a key role in managing EKS clusters for Kubernetes workloads and implementing robust CI/CD pipelines using tools like GitHub Actions. This is a long-term engagement.
 
Responsibilities:
 

• Design, build, and maintain AWS infrastructure starting from the ground up.
• Manage EKS clusters and ensure high availability, scalability, and security of Kubernetes environments.
• Develop and maintain Infrastructure as Code (IaC) using Terraform/Terragrunt.
• Implement and manage CI/CD pipelines (e.g., GitHub Actions) to support seamless deployments.
• Monitor system performance, troubleshoot issues, and optimize cloud resources.
• Ensure best practices in cloud security, cost optimization, and reliability.
• Collaborate closely with development teams to align infrastructure with application needs.
• Provide technical leadership, guidance, and mentorship to junior team members when needed.

Requirements:
 

• 7+ years of professional experience in DevOps, Cloud Infrastructure, or related roles.
• Proven experience with AWS services and building secure, scalable cloud environments from scratch.
• Experience with setting up and administering ElasticSearch nodes on EC2 instances.
• Practical experience with Terraform (and ideally Terragrunt) for Infrastructure as Code (IaC).
• Hands-on experience building and maintaining Docker containers.
• Experience with AWS ECS and ECR for container orchestration and registry.
• Strong experience with Kubernetes and AWS EKS cluster management (desired especially if collaborating with internal platform teams).
• Familiarity with AWS core services such as ALB, networking, IAM, S3, EC2, Fargate, and other commonly used services.
• Solid knowledge of CI/CD pipelines and tools, preferably GitHub Actions.
• Good understanding of networking, cloud security, and monitoring best practices.
• Excellent problem-solving and troubleshooting skills.
• Comfortable working independently and proactively in a dynamic environment.
• Strong communication skills and ability to collaborate with distributed teams.
• Flexibility to work with US West Coast hours occasionally.
   

We Offer:
 

• Competitive market salary.
• Fully remote work.
• Convenient and somewhat flexible working hours.
• 28 days of paid time off per calendar year.
• The chance to work on meaningful, socially valuable products alongside a highly professional, US-based international team.
• Interesting technical challenges with opportunities to grow and learn.

Job Description
Extensive software development experience, including experience working on complex backend or data infrastructure projects.
Strong hands-on experience with Scala.

Experience with Apache Iceberg or similar table formats and data lake technologies.

Hands-on experience developing backend services, data-processing engines, infrastructure components.
Programming experience in C /or C++ is highly desirable / preferred, the role is primarily focused on backend/system-level engineering rather than full-stack application development.
Deep understanding of distributed systems, data processing, storage engines, or data infrastructure.

Strong knowledge of data consistency, transactions, schema evolution, partitioning, compaction, and performance optimization.

Proven ability to troubleshoot complex production and customer issues.

Strong ownership mindset and the ability to operate effectively in areas with limited documentation or historical knowledge.

Excellent communication and collaboration skills.

Preferred Qualifications: 
Big Data Frameworks: Hands-on experience with distributed data-processing technologies such as Apache Spark, Flink, Trino, or Presto.
Cloud Object Storage: Experience working with cloud storage platforms, including Amazon S3, Google Cloud Storage (GCS), or Azure Data Lake Storage (ADLS).
Legacy Modernization: Proven track record of modernizing or gradually improving a mature codebase without disrupting existing customers.
Job Responsibilities
Architect & Build: Lead the architecture, design, and implementation of highly scalable, complex backend systems and robust data infrastructure using Scala.
Data Lake Engineering: Design and manage enterprise-grade data lake solutions leveraging Apache Iceberg or equivalent table formats, ensuring optimal data consistency, transactions, schema evolution, partitioning, and compaction.
Performance Optimization: Maximize system throughput, minimize latency, and optimize resource utilization across large-scale distributed data processing systems.
Production Excellence: Systematically diagnose, troubleshoot, and resolve complex, high-impact production and customer-facing infrastructure issues.
Codebase Modernization: Champion the gradual improvement and modernization of a mature, production-critical codebase without causing disruption to active customers or services.
Technical Leadership & Collaboration: Act as a technical authority, fostering strong communication and collaboration across engineering teams to align on technical objectives.
Navigate Ambiguity: Exercise a strong ownership mindset to operate effectively and deliver high-quality outcomes in areas with limited documentation or historical knowledge.
Department/Project Description
We are seeking an expert Scala Engineer to design, optimize, and scale our next-generation multi-cloud data lake house architecture across AWS and Azure. The ideal candidate is a backend/system engineer with strong experience building engines, infrastructure, or high-performance backend components. In this role, you will leverage Qlik Open Lakehouse (integrated with Qlik Talend Cloud) to establish a low-overhead, high-throughput data foundation. You will manage automated data ingestion, implement continuous table optimization, handle cross-cloud data mirroring, and ensure seamless multi-engine access without vendor lock-in.

We are looking for a Senior Product Manager with hands-on crypto casino experience to take full ownership of the casino product — from product strategy and player insights to business performance and growth.

This is not a delivery-focused Product Owner role. You will be responsible for where the product goes, why we prioritize certain initiatives, and how those decisions impact key business metrics.

You’ll work closely with a Product Owner who owns backlog execution and delivery, while your focus will be on product strategy, discovery, player behavior, market opportunities, experimentation, and commercial results.

The main goal is simple: continuously improve the casino product and player experience while driving conversion, retention, monetization, and LTV.

🎯 What you’ll own

• Product vision, strategy, and roadmap for the crypto casino vertical.
• Player journey across onboarding, KYC, deposits, withdrawals, game discovery, bonuses, and personalization.
• Product discovery based on player behavior, transaction data, game performance, market research, and competitor analysis.
• Core casino metrics: GGR, NGR, conversion, retention, churn, ARPU, LTV, reactivation, and bonus efficiency.
• Understanding different player segments and identifying what drives deposits, engagement, retention, and monetization.
• A/B testing and product experiments — from hypothesis to measurable business results.
• Collaboration with Retention and VIP teams to increase repeat deposits and long-term player value.
• Optimization of crypto payments, wallets, multi-currency flows, and related user experiences.
• Analysis of revenue and profitability drivers, including bonuses, payment fees, provider costs, and chargebacks.
• Translation of business goals and product insights into clear priorities for Product Owner and cross-functional teams.
•  

✅ What we’re looking for

• 4+ years of Product Management experience in iGaming.
• Proven hands-on experience with crypto casino products — this is important for the role.
• Strong understanding of casino mechanics: slots, live casino, bonuses, player lifecycle, retention, and reactivation.
• Experience owning product and business KPIs rather than simply delivering features.
• Strong analytical mindset and confidence working with funnels, cohorts, experiments, and product/business metrics.
• Ability to independently identify opportunities, build hypotheses, prioritize them, and measure the impact.
• Strong understanding of UX and experience optimizing high-impact player journeys.
• SQL knowledge or hands-on experience working directly with analytics and back-office data.
• Comfortable working with a high level of ownership, autonomy, and fast decision-making.
•  

🧠 The mindset we value

We’re looking for someone who thinks “What will move the metric?” rather than “What feature should we build next?”

You’re curious about why players behave the way they do, comfortable challenging assumptions, and able to change direction when the data tells a different story.

You move fast, test hypotheses, measure results, and iterate.

🎁 What we offer

💰 Competitive compensation package
🚀 High ownership and real influence on product and business decisions
💼 Strong senior-level team
⚡ Fast decision-making, minimal bureaucracy, and flexible processes
🏡 Remote-first setup — work from anywhere
🎓 Learning budget, internal knowledge sharing, external courses, and certifications
🍺 Healthy work-life balance — no overtime or micromanagement
💻 MacBook, Starlink, PowerBank, and other necessary equipment
👶 Maternity and childbirth bonuses
🔔 Additional internal benefits and perks