Jobs Data Engineer

Summary

• Engineer specializing in data migration and engineering with extensive experience in SAP BW architecture, data modeling, and business logic transformation.
• Experienced in designing and developing scalable data pipelines using Databricks and AWS cloud platforms.
• Skilled in leveraging LLM-based tools for automated code conversion and migration, ensuring data integrity and consistency.
• Demonstrated success in large-scale enterprise projects, particularly within finance domains, with collaboration across business and technical teams.

Job DescriptionRole Overview

The Data Engineer with SAP BW is responsible for reviewing and migrating existing SAP BW architectures, data models, and business logic to a modern data platform using Databricks. This role requires strong expertise in data engineering, data modeling, and cloud technologies, with a focus on ensuring data accuracy, integrity, and consistency throughout the migration process by utilizing automated and LLM-based code conversion tools to enhance efficiency. The engineer will collaborate closely with both business and technical teams to validate the migrated datasets and transformations, supporting the overall solution architecture and migration strategy.

Responsibilities

• Review current SAP BW architecture, data models, and business logic to determine the scope of the migration.
• Design and develop target data models and data pipelines within Databricks.
• Transfer and transform data and business logic from SAP BW to Databricks while maintaining data accuracy, integrity, and consistency.
• Support the overall solution architecture and migration strategy, including leveraging automated or LLM-based code conversion tools where appropriate.
• Work closely with business and technical teams to validate migrated datasets, transformations, and business logic.

Skills and Qualifications

• Strong hands-on experience with Databricks.
• Proven track record in delivering data migration projects, preferably in large-scale or enterprise environments.
• Practical experience with SAP BW, including understanding of its data structures, models, and business logic.
• Solid background in data modeling, business intelligence, and data engineering.
• Strong experience with AWS or similar cloud platforms.
• Experience using LLM-based tools for code translation, transformation, or migration activities.
• Strong English communication skills.

Additional Desirable Experience

• Previous experience in the finance domain.
• Experience working within large enterprise organizations.

Technologies and Tools: SAP BW, Databricks, AWS (or similar cloud platform), LLM-based tools for code translation and migration, data modeling and BI tools.

This is a PRE-SALE ACTIVITY. Preferably to be arranged free of charge


Position name: Technical Consultant — LLM/RAG Architecture 
Level: Senior / Principal / Architect

Hard skills requirements (including years):

• Production experience designing and running RAG pipelines: chunking, embeddings, vector databases, retrieval, reranking, evaluation
• Audio/video processing pipelines: transcription (ASR), speaker diarization, timestamp indexing, handling multi-participant content
• Multi-model / tiered routing architecture — routing lightweight tasks to cheap high-throughput models and escalating complex reasoning tasks to flagship models
• Hands-on evaluation and benchmarking of LLM providers, including Chinese providers (DeepSeek, Alibaba Qwen, ByteDance Doubao, Zhipu GLM, Moonshot Kimi) alongside Western frontier models
• LLM FinOps: token-level cost modelling, unit economics per processing run, and cost projection across a growth curve (10K → 175K → 400K users)
• Capacity and throughput planning: rate limits, batching, caching, concurrency at enterprise volume
• Awareness of the risks of Chinese LLM providers: data residency, compliance, latency outside China, vendor lock-in

The client is looking for an experienced Senior Master Data Developer / Data Engineer to work in a complex enterprise environment.
The main focus of the position is the development and maintenance of enterprise-grade data pipelines, ETL/ELT processes, data integration and migration, as well as working with Master Data and Data Warehousing.
The candidate should have not only a classic Data Engineering background, but also a strong understanding of cloud architecture, networking, and data migration between VPC / hyperscaler environments.
The position requires independent work in a complex enterprise environment and collaboration with various technical and business teams.

Details:

• 4+ years of relevant experience
• English: B2+
• Full-time
• Long-term project
• Remote

Core Skills:

• Strong database and data warehousing expertise
• Hands-on ETL development experience
• Enterprise cloud networking knowledge
• Experience with data migration across VPCs and hyperscalers
• Python development skills
• Experience building and maintaining data pipelines

 Responsibilities:

• Design, develop, and maintain enterprise-grade data pipelines
• Build and optimize ETL and data integration solutions
• Support data warehousing and master data management initiatives
• Configure and maintain cloud-based data environments
• Enable secure data movement across VPCs and hyperscaler environments
• Collaborate with cross-functional teams to ensure data quality and scalability

Our Customer:

Our customer is an international technology company developing a security-focused enterprise platform used by organizations with high requirements for device protection and user authentication. As part of its product ecosystem, the company is building a desktop application for macOS that integrates deeply with operating system capabilities to deliver secure authentication, device management, and identity-related functionality.
 

Your Tasks:

• Design, develop, and maintain low-level macOS application components that interact with system frameworks and operating system services.
• Build and enhance integrations with macOS security, authentication, and credential management capabilities.
• Ensure compatibility with new macOS releases by evaluating platform changes, API updates, and system behavior across OS versions.
• Research and implement modern Apple platform capabilities related to identity, authentication, and device security.
• Develop reliable background services, inter-process communication mechanisms, and secure application workflows.
• Improve software quality through secure build and release processes, diagnostics, logging, and issue investigation.
• Troubleshoot complex platform-specific issues and collaborate with cross-functional teams to deliver robust solutions.
• Contribute to technical design discussions and continuously improve the architecture of macOS platform components.
   

Required Experience and Skills:

• 8+ years of commercial software development experience.
• At least 4 years of hands-on experience developing applications for macOS with a strong focus on system-level functionality.
• Strong proficiency with Swift and/or Objective-C.
• Along with practical experience using C/C++.
• Solid experience working with macOS system frameworks, background services, inter-process communication, security mechanisms,
• and application permissions.
• Good understanding of Unix/Linux operating system concepts, including processes, permissions, IPC, and system services.
• Experience building security-sensitive software, including secure data storage, authentication flows, and cryptographic principles.
• Strong debugging and troubleshooting skills, particularly for platform-level issues and complex system interactions.
• Ability to independently drive technical investigations and deliver solutions for complex engineering challenges.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
• English level Upper-Intermediate or higher.
   

Would Be a Plus:

• Experience with identity and access management technologies or enterprise authentication solutions.
• Familiarity with modern authentication standards and security protocols.
• Experience integrating applications with enterprise device management solutions.
• Knowledge of macOS endpoint security technologies or other advanced Apple platform capabilities.
• Previous experience working on enterprise desktop software deployed at scale.
• Exposure to low-level operating system development or performance optimization.

Description: We are expanding our team at Piligrim and looking for a strong Senior Data Engineer / Solution Consultant for long-term enterprise projects and data platform modernizations.

What you will do:

• Design and build enterprise-scale data systems, data warehouses, data lakes, and lakehouse architectures.
• Handle end-to-end data migrations (including cloud and legacy systems/SAP BW transitions).
• Define data architecture standards, develop data models, and optimize pipeline performance.

Key Requirements:

• 5+ years of experience in data management, data engineering, or solution architecture.
• Strong hands-on experience with Databricks, Spark, Python, and SQL.
• Experience with cloud ecosystems (Azure, AWS, or GCP) including CI/CD, DevOps, and Infrastructure as Code.
• Proven background in large-scale data migrations or data platform modernization.
• Experience with SAP BW structures, data models, or finance domain expertise is a strong plus.
• English level: B2–C1 (fluent communication for direct client interaction).

About Platform DareBay

DareBay is a UGC marketplace platform (Web & Telegram) connecting brands with content creators via automated, metric-based challenges and contests. We are in the pre-release stage - the product is live, scaling fast, and you will see the direct impact of your work immediately.

The Role

We are looking for a Data Engineer (2–4 years of exp.) to own, audit, and scale our data infrastructure. You will maintain data platforms under growing client loads, working closely with the CTO, Backend team, and Data Analysts.

Key Responsibilities:

• Audit, optimize, and maintain the existing data infrastructure.
• Build and scale reliable batch/streaming ETL/ELT pipelines.

• Collaborate with the CTO and analytics team to ensure data availability and quality.

   

Technical Stack:

• Core: Python & Advanced SQL (optimization, window functions).
• Processing & Orchestration: Apache Spark / Flink, dbt, Apache Airflow.
• DWH & Lakes: Snowflake / BigQuery / Redshift, ClickHouse (OLAP), Apache Iceberg.
• Streaming & Infra: Apache Kafka, Docker, Kubernetes, CI/CD.
• Data Quality: Great Expectations / Soda / Monte Carlo.

• Pluses: Java, Grafana/Prometheus, Telegram Bot API.

   

Requirements:

• 2–4 years of commercial Data Engineering experience.
• English: Upper-Intermediate (for documentation and tech communication).

• Ability to work closely with cross-functional teams (CTO, Backend, Analytics).

   

What We Offer:

• Remote-first format & flexible hours.
• Direct impact on architecture at an early scaling stage.
• Direct collaboration with the core team (CTO).

Our partner is one of the largest retail e-commerce companies in North America, serving millions of customers each year and ensuring a secure and seamless shopping experience across digital and in‑store channels.

We are looking for skilled and motivated engineer Data engineer to join the innovative team. The Orchestration team manages platforms within Insights Delivery Technology organization and offers self-service solutions designed to empower engineers, data scientists, and analysts to seamlessly perform ETL/ELT operations on data from diverse sources such as Kafka, S3, GCS, BigQuery, and Postgres, and write processed data back to these sources via batch or real-time processes.

As an Orchestration Team Engineer, you will play a critical role in developing and maintaining this robust platform, ensuring that users can efficiently extract actionable insights without being burdened by the complexities of big data technologies. Your work will enable to client to scale its operations while keeping technical demands on non-engineering staff to a minimum.

Responsibilities

• Platform Support: Perform ongoing production support and on-call support duties. Work with both onsite and offshore resources daily to resolve incidents and issues.
• Platform Development: Evolve, design, and maintain our orchestration platforms which aim to abstract the complexities of big data technologies and simplify ETL/ELT operations for users
• Infrastructure as Code: Provision and manage cloud data infrastructure declaratively with Terraform, delivering self-service platform capabilities through automated, version-controlled pipelines.
• Integration: Develop seamless connectivity to diverse data sources and destinations, ensuring high performance and reliability.
• Data Governance & Metadata: Build and operate metadata, cataloging, and data-lineage capabilities that make data across Nordstrom discoverable, trustworthy, and well-governed — including integrations across transformation, streaming, BI, and ML platforms.
• Scalability: Design solutions that are scalable and resilient, capable of handling large data volumes, high velocity, and diverse data formats.
• Innovation: Stay up-to-date with emerging big data, ETL, and AI-assisted tooling, incorporating them into the framework as needed to enhance functionality and user experience.
• Documentation: Create and maintain comprehensive documentation, ensuring users can easily understand and utilize the framework

Skills Required

• Proficiency in SQL (e.g., BigQuery).
• Solid understanding of ETL/ELT processes, data pipeline architecture, and modern transformation frameworks such as dbt.
• Strong programming skills in Python, with the ability to build and maintain CLIs, services, and automation.
• Experience with cloud data platforms, primarily GCP (BigQuery, Dataproc Serverless, GCS); AWS experience a plus.
• Experience with Infrastructure as Code — particularly Terraform — for provisioning and managing cloud data infrastructure.
• Experience building and orchestrating data pipelines with Airflow and Kubernetes.
• Experience with streaming / event data using Kafka (e.g., Confluent Cloud).
• Working understanding of data governance concepts — metadata management, data cataloging, and data lineage.
• Familiarity with CI/CD and Git-based workflows (GitHub Actions) for platform and pipeline delivery.
• Proficiency with AI-assisted developer tooling — LLMs, the Model Context Protocol (MCP), and "copilot"-style productivity tools — and a track record of using them to work more effectively.
• Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment.

Nice to Have

• Hands-on experience with a metadata / data-catalog / lineage platform such as DataHub (or Collibra, Amundsen, or similar).
• Experience with BI / semantic-layer tools such as Looker / LookML.
• Experience with data quality, observability, SLOs / error budgets, and on-call operations for data platforms.
• Familiarity with distributed processing frameworks such as Spark; Java / Scala a plus.

Our Customer is a leading retail technology company specializing in AI-driven pricing optimization solutions for enterprise retailers. The company helps businesses improve profitability and competitiveness through advanced analytics, automation, and intelligent pricing strategies. Their platform combines business intelligence with sophisticated algorithms to support data-informed pricing decisions at scale for global retail organizations.
 

PROJECT

The project focuses on the strategic migration of a large-scale analytical platform from a legacy BigQuery ecosystem to a modern Databricks Lakehouse architecture. The platform processes high-volume retail datasets, machine learning workloads, analytics pipelines, and customer-specific business logic.
As part of the modernization initiative, the engineering team is implementing scalable Spark-based processing, Delta Lake architecture, medallion data layers, and modern governance practices. The role offers an opportunity to work with distributed data processing systems, optimize large-scale workloads, and contribute to the evolution of an enterprise-grade data platform.

Key Technologies: Databricks, Apache Spark, PySpark, Delta Lake, Python, SQL, Airflow, GCP, CI/CD, Unity Catalog

Job Description

• Participate in the migration of a large-scale analytical platform from BigQuery to Databricks
• Design and implement scalable Lakehouse architectures using Databricks and Delta Lake
• Analyze existing ETL / ELT workloads and define migration approaches
• Develop and optimize data pipelines processing large volumes of retail and analytical data
• Implement incremental processing strategies and scalable transformation frameworks
• Build and maintain Spark-based data processing solutions using PySpark
• Design and maintain medallion architecture layers including Bronze, Silver, and Gold
• Implement data governance and security best practices using Unity Catalog
• Collaborate with Data Science, Analytics, Product, and Customer Engineering teams
• Participate in architecture discussions and technical solution design
• Develop reusable data platform components and engineering standards
• Conduct code reviews and contribute to platform reliability and maintainability
• Troubleshoot and optimize complex SQL and Spark workloads
• Support production deployments and platform modernization activities

Qualifications

• 5+ years of professional experience as a Data Engineer
• Strong programming skills in Python and advanced SQL
• Hands-on commercial experience with Databricks
• Strong knowledge of Apache Spark, primarily PySpark
• Experience designing and building modern cloud-based data platforms
• Experience developing ETL / ELT pipelines and large-scale data processing solutions
• Hands-on experience with Delta Lake
• Experience with Spark Declarative Pipelines
• Experience with cluster monitoring, metrics analysis, and performance optimization
• Strong understanding of distributed data processing architectures
• Solid understanding of data warehousing concepts and dimensional modeling
• Experience with Airflow or similar orchestration tools
• Experience optimizing complex analytical SQL workloads
• Experience implementing CI / CD practices for data engineering platforms
• Strong troubleshooting and performance optimization skills
• Ability to work collaboratively in cross-functional international teams
• Upper-Intermediate or higher English level
   

WILL BE A PLUS

• Experience working with GCP cloud services
• Experience with AWS or Azure cloud platforms
• Experience in retail analytics or pricing optimization domains
• Experience supporting machine learning or AI-related data workloads
• Experience with platform modernization and cloud migration initiatives

Additional information

PERSONAL PROFILE

• Strong analytical and problem-solving mindset
• Proactive and ownership-driven approach
• Ability to work independently and collaboratively
• Good communication and stakeholder collaboration skills
• Passion for scalable data engineering and modern data platforms
• Interest in continuous learning and technology innovation

Dataforest is looking for a Data Engineer to join an interesting software development project in the field of Cybersecurity. Our client’s platform offers Identity Insights drives real-time, multi-contextual digital forensics to protect new account opening workflows and expose fake accounts already in a customer database.

You'll be a great fit if you have:

- 3+ years of hands on in data engineering;
- 3+ years of commercial experience with Python;
- Advanced experience with SQL DBs (optimisations, monitoring, etc.);
- Advanced experience with PySpark;
- Solid understanding of ETL principles (architecture/ monitoring/ alerting/search and resolve bottlenecks);
- Familiar with AWS infrastructure (boto3, S3 buckets, etc);
- Experience working with large volumes of data;
- Understanding the principles of medallion architecture.

Would be a plus:

- Cassandra/Scylla
- PostgreSQL
- Pandas
- Experience with Kafka and Redis

What you'll do:

- Maintain data processing architecture using Python and PySpark that interacts with ScyllaDB & PostgreSQL.
- Work with Databricks infrastructure to ensure reliability, scalability, and cost efficiency.
- Proactively identify bottlenecks and suggest technical improvements.

We ensure your growth with:

- Working in a fast-growing company;
- Great networking opportunities with international clients, challenging tasks;
- Personal and professional development opportunities;
- Competitive salary fixed in USD;
- Paid vacation and sick leaves;
- Flexible work schedule;
- Friendly working environment with minimal hierarchy;
- Team building activities, corporate events.

Job Description

• Strong hands-on expertise in configuring and managing Amazon Connect environments
• Experience migrating legacy telephony workflows (specifically ServiceNow) to AWS/Amazon Connect
• Ability to collaborate effectively with Java development teams on backend integrations

Job Responsibilities

• Configure and deploy Amazon Connect workflows, specifically including call routing and roll-over capabilities
• Replicate the clinical escalation routing where an in-home provider calls a Service Coordinator (SC), with the option to roll the call over to the Nurse command center.
• Collaborate closely with the existing team handling the Java-based backend development to integrate the telephony configuration.

Department/Project Description

Goal: Replicate and migrate a critical provider escalation telephony workflow from ServiceNow to Amazon Connect

Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Technical Coordinator / Solution Engineer to join our dynamic team on a full-time basis.

We are looking for a hands-on technical professional who will serve as the primary on-site technical expert, supporting deployment, configuration, automation, monitoring, and troubleshooting activities within a customer environment. This role is ideal for a specialist with strong infrastructure and operational experience who enjoys working independently while collaborating closely with remote engineering and product teams.

Responsibilities

• Install, configure, and support local server-side software components.
• Support local environment setup and configuration of server and viewer-related components.
• Manage and support secure data preparation, upload, and processing workflows.
• Develop and maintain basic orchestration and automation scripts.
• Monitor technical environments and proactively troubleshoot issues.
• Investigate problems related to setup, configuration, data uploads, processing steps, and environment stability.
• Maintain setup documentation, troubleshooting records, and operational procedures.
• Communicate effectively with remote product and vendor technical teams in English.
• Escalate product-specific, environment-related, and data-quality issues to appropriate technical stakeholders.
• Work predominantly on-site at the customer location in Kyiv, depending on project needs.
• Act as the main technical representative on-site while coordinating with remote support teams.

Requirements

Required Qualifications

• Strong experience working with Windows and/or Linux server environments.
• Proven experience installing, configuring, and supporting server-side or enterprise software solutions.
• Hands-on scripting experience with Bash, PowerShell, or Python.
• Experience creating and maintaining workflow automation and orchestration scripts.
• Strong background in deployment, configuration, monitoring, and troubleshooting of technical environments.
• Understanding of secure environments, access control, credential management, and sensitive data handling.
• Ability to read technical documentation and follow setup and design instructions.
• Experience collaborating with remote technical teams and participating in English-language meetings.
• Strong analytical and troubleshooting skills.
• Ability to work independently with minimal supervision.

Nice to Have

• DevOps or Infrastructure Engineering background.
• Experience with on-premises or hybrid infrastructure environments.
• Experience working with data processing workflows.
• Familiarity with visualization platforms, viewer/server environments, or similar technical systems.
• Basic knowledge of encryption and decryption workflows.
• Experience working with APIs and integrations.
• GIS, spatial data, or 3D visualization experience.
• Customer-facing technical support, consulting, or implementation experience.

Specific Requirements

• Must be based in Kyiv or willing to work primarily from Kyiv.
• Availability for regular on-site presence at the customer location.
• Comfortable working within a sensitive and secure customer environment.
• Openness to customer-side background or security screening if required.
• Ability to act as the primary hands-on technical specialist on-site.
• Strong sense of ownership, responsibility, and communication skills.
• Ability to properly identify, prioritize, and escalate issues when necessary.

What You Should Know

• This is not a pure software development role.
• This is not a project management role.
• The primary focus is hands-on technical execution, including setup, configuration, scripting, monitoring, troubleshooting, and operational support.
• Product-specific onboarding, documentation, API guidance, and training will be provided by the product/vendor team.

Benefits

• Paid Time Off — 36 paid days per year
• Training & Development opportunities

Partial medical compensation


 

Job Description 

We are seeking a Multimedia Engineer for a long-term, full-time, remote project to join our engineering team, working on advanced audio/video streaming solutions for embedded platforms. The ideal candidate will have strong hands-on experience with GStreamer and a deep understanding of multimedia systems, media pipelines, and streaming technologies. 

Technical Requirements 

• 5+ years of software development experience in multimedia or system-level environments 
• Strong hands-on experience with GStreamer at the developer level (must-have), including: 

     - ​ building and debugging complex media pipelines 

     - working with elements, pads, caps, and plugins 

     - diagnosing latency, synchronization, and performance issues 

• Strong programming skills in C++ and Java for system-level or multimedia applications 
• Solid understanding of audio and video streaming protocols (RTP, RTSP, etc.) 
• Experience working with video and audio codecs (H.264, H.265, VP9, AAC, Opus, etc.) 
• Experience with Video4Linux (V4L2) Expe .;
• Experience with embedded platforms (Embedded Linux and/or Embedded Android) 
• Understanding of networking fundamentals: TCP, UDP, HTTP 
• Ability to debug complex issues across software layers (middleware, OS, hardware interaction) 
• Experience with version control systems (Git).
• Excellent problem-solving, critical thinking, and communication skills 

Nice to Have 

• Experience with Embedded Android / Android BSP (AOSP) 
• Familiarity with multimedia and graphics systems such as: 
• Android Audio / SurfaceFlinger 
• ffmpeg, VAAPI, OpenMAX, OpenGL 
• Experience with streaming technologies such as WebRTC 
• Experience with camera integration or camera subsystem customization 
• Knowledge of hardware-accelerated media pipelines 
• Scripting experience (Bash, Python) 

Responsibilities 

• Design, develop, and maintain multimedia middleware components 
• Build, integrate, and optimize GStreamer-based audio/video pipelines.
• Integrate media components with user-space applications and system services 
• Debug and resolve complex media issues related to performance, stability, and synchronization 
• Drive technical discussions and contribute to architecture decisions 
• Collaborate with hardware, platform, and application teams 
• Support board bring-up and hardware validation related to audio/video subsystems 

You will develop and automate CI/CD processes, configure monitoring, optimize infrastructure, ensure reliable service operation, and collaborate closely with development teams.

If you have strong DevOps expertise, experience with high-load systems, and a desire to build reliable infrastructure for products used by millions — we would be happy to welcome you to our team.

Responsibilities:

• Maintain, develop, and improve the company’s existing infrastructure
• Participate in the launch of new products and ensure the reliability and high availability of existing services
• Configure and maintain monitoring systems (Datadog, New Relic, Grafana), monitor infrastructure and microservices, and promptly respond to incidents, errors, and downtime
• Deploy, maintain, and optimize production and development environments for web applications
• Manage Infrastructure as Code (IaC) and ensure infrastructure reproducibility using Terraform
• Deploy and maintain services running in Kubernetes clusters
• Research emerging technologies, evaluate their applicability, and implement the most effective solutions
• Automate infrastructure and operational processes using Ansible, Terraform, and Docker
• Continuously improve professional skills, stay up to date with modern DevOps tools and best practices, and enhance technical expertise

Requirements:

• 1+ year of hands-on experience with Ansible
• Experience working with Terraform (Infrastructure as Code)
• Experience administering and operating Kubernetes
• Strong Linux administration skills, preferably Ubuntu-based systems
• Experience managing Bare Metal servers
• Hands-on experience with AWS cloud services (EC2, RDS, S3, CloudFront)
• Experience configuring and administering Cloudflare
• Experience setting up monitoring and metrics visualization systems (Grafana)
• Knowledge of and hands-on experience with MySQL 8 and Redis 6
• Basic knowledge of RabbitMQ administration
• Experience administering PHP 8+ (Laravel) projects
• Understanding of web infrastructure, networking concepts, and CI/CD processes will be considered an advantage

Are you passionate about building reliable, scalable, and highly available production systems? Do you enjoy solving complex engineering challenges through automation, observability, and software engineering?
Optimove is looking for a Senior Site Reliability Engineer (SRE) to join our global SRE organization. In this role, you'll partner with engineering teams globally to improve the reliability, scalability, and operational excellence of our cloud platform.
As a Senior SRE, you'll lead engineering-driven reliability initiatives by building automation, improving deployment processes, advancing observability, and driving operational excellence across our production environment.

Responsibilities
 

• Reliability Engineering – Design and implement solutions that improve the reliability, availability, and scalability of our production platform while proactively identifying and eliminating operational risks.
• Automation & Platform Engineering – Build internal tools and automation that eliminate manual operational work, improve engineering productivity, and streamline production workflows.
• Observability – Improve monitoring, alerting, dashboards, and production visibility while driving initiatives that reduce alert fatigue, improve incident detection, and strengthen operational insights.
• Production Rollouts – Design, improve, and support production deployment processes using modern release strategies such as Canary, Blue/Green, and Feature Flags to ensure safe and reliable releases.
• Production Reliability & Incident Response – Lead the investigation and resolution of critical production incidents, perform root cause analysis, and implement long-term preventive improvements that improve platform resilience and reduce recurring issues.
• On-Call & Operational Excellence – Participate in the team's on-call rotation, ensuring reliable production operations. Respond to critical incidents, collaborate with engineering teams during service disruptions, and drive engineering improvements, automation, and operational best practices that reduce operational toil and prevent future incidents.
• Cloud & Infrastructure – Design, maintain, and improve our Kubernetes-based cloud platform, CI/CD pipelines, and production infrastructure running on GCP and AWS.
• Engineering Partnership – Collaborate closely with Software Engineers, DevOps, DBAs, and Product teams to improve reliability across the software development lifecycle and promote SRE best practices.
   

Requirements
 

• 5+ years of experience in Site Reliability Engineering, Platform Engineering, DevOps, or Infrastructure Engineering.
• Hands-on experience operating Kubernetes in production environments.
• Strong experience working with public cloud platforms (GCP or AWS).
• Strong programming and scripting skills (Python preferred; Go or Bash are a plus).
• Experience designing and building automation and internal engineering tools.
• Experience working with CI/CD pipelines and modern deployment methodologies.
• Hands-on experience with observability platforms such as Datadog, Prometheus, or Grafana.
• Strong understanding of Linux, networking, distributed systems, and cloud-native architectures.
• Excellent troubleshooting, debugging, and root cause analysis skills.
• Strong communication skills and experience collaborating with globally distributed engineering teams.
   

Advantages
 

• Experience with Infrastructure as Code (Terraform, Ansible, etc.).
• Experience with messaging and distributed technologies such as Kafka, Pub/Sub, or Redis.
• Experience supporting modern deployment strategies such as Canary, Blue/Green, or Feature Flags.
• Familiarity with OpenTelemetry and modern observability tooling.
• Understanding of Site Reliability Engineering principles, including SLIs, SLOs, and error budgets.
• Experience working in large-scale SaaS production environments.
• Relevant cloud or Kubernetes certifications (GCP, AWS, CKA, CKAD).
  
  Why Join Us?
  Join a team where Site Reliability Engineering is treated as an engineering discipline—not just an operations function. You'll work on large-scale cloud infrastructure serving enterprise customers while building automation, improving observability, and enabling engineering teams to deliver software safely and reliably.
• You'll collaborate with a global SRE organization using modern cloud-native technologies, Kubernetes, distributed systems, and large-scale SaaS workloads. You'll have the opportunity to lead impactful reliability initiatives, influence engineering best practices, and solve complex production challenges that directly improve the experience of both customers and engineering teams.

Who are we?

Fuelfinance is on a mission to revolutionize financial management for early-stage startups, empowering them to take control of their finances and thrive. We recently raised $1M in Seed Funding from top-tier investors like Markus Villig (Bolt), John S. Kim (SendBird), Stratmind, and Bad Ideas funds, following 3 years of profitable, bootstrapped success. Trusted by businesses with over $200M in P&L, including Reface, Petcube, and Hampton, we’ve built a universal tool that brings clarity and insight to finance management.

With 38% of startups failing due to cash flow issues, our goal is to prevent these failures and unlock trillions in GDP growth. At Fuelfinance, we’re not just creating software — we’re safeguarding the future of thousands of startups. Join us and be part of this impact!

fuelfinance.me

www.instagram.com/fuelfinance

youtu.be/eI5VH2Ks9o4

Who are we searching for?

We're looking for an Enterprise Finance Engineer — someone who can design and implement AI-powered finance systems for our largest and most complex customers. This role sits at the intersection of Finance, Accounting, Systems, Automation, Integrations, and AI.

You'll work directly with CFOs, Finance Directors, Controllers, IT teams, and finance teams to redesign finance operations through AI, automation, and system integrations. You'll own a small number of large, strategic customers end-to-end — from understanding business processes to designing scalable solutions and continuously improving them as the business evolves.

This isn't a role for someone who wants repeatable implementations or well-defined requirements. Every customer is different. You'll navigate ambiguity, work with demanding stakeholders, and solve unique technical problems without predefined playbooks. If that energizes you, we'd love to meet you.

What are your responsibilities?

• Design and implement AI-powered finance systems for enterprise customers
• Lead discovery sessions to understand finance processes and identify automation opportunities
• Build workflows for reporting, forecasting, financial controls, reconciliations, and planning
• Design integrations across ERP, accounting, CRM, payment, BI, and data platforms
• Translate finance requirements into scalable workflows, automations, and system architecture
• Build AI agents, validation logic, and automation frameworks that reduce manual work
• Partner with Engineering on APIs, integrations, and workflow orchestration
• Coordinate across Engineering, Product, and Customer Success as the trusted technical partner for your customers
• Continuously improve customer solutions as business needs evolve

What are the preferred requirements for the role?

• 10+ years implementing finance systems, automations, or enterprise finance operations
• 1+ year building AI-powered automations, agents, workflows, or internal AI tools
• Hands-on experience with APIs, system integrations, automation platforms, and data warehouses
• Experience working with enterprise or multi-entity organizations (multiple stakeholders, legacy systems, changing requirements, long implementation cycles)
• Proven experience leading implementation projects end-to-end — discovery, solution design, rollout, training, and support
• Fluent English
• Strong understanding of finance and accounting processes, including financial close, reporting, FP&A, revenue, AP/AR, and financial controls
• Ability to understand how financial data flows across systems and departments
• Experience with ERP, accounting, or billing systems
• Proven impact in numbers: hours saved, manual work reduced, faster reporting, or fewer errors
• Excellent communication skills and experience working directly with senior finance stakeholders
• Strong systems thinking — the ability to see the bigger picture and break complex finance processes into scalable, maintainable, reusable solutions
• Ownership: taking full responsibility from problem discovery through implementation and post-launch optimization
• Learning agility: quickly mastering new AI tools, technologies, and approaches
• Strong problem-solving under ambiguity, with the judgment to make trade-offs and prioritize
• Strong drive to eliminate repetitive manual work
• Proactivity and a high level of responsibility
• Ability to work in a fast-paced environment

Will be a plus:

• Python or other scripting experience
• SQL and the ability to retrieve and validate financial data independently
• Experience with tools like NetSuite, QuickBooks, Xero, Stripe, Salesforce, HubSpot, Zuora, BigQuery, Snowflake, PostgreSQL, Looker, Power BI, Tableau, Zapier, Make, n8n, or Workato
• Understanding of enterprise architecture — security, scalability, governance, and integration patterns
• Experience working with US-based clients or startups

Reporting Structure: reporting to the Head of FP&A

Recruitment Process:

• Soft skills interview with the recruiter
• Test task
• Hard skills interview with the Head of FP&A
• Culture fit interview with the Head of FP&A/VP of Operations

Why work with us?

• Build the future of finance work — design AI-native finance operations, not just maintain them
• Rapid skills improvement (you'll work with multiple client businesses with different models and challenges)
• Growth opportunities according to our seniority grading (it comes with a compensation increase)
• Flexible schedule and time-off policy
• 18 days of paid vacation per year, paid sick leaves