Jobs Data Engineer

We are looking for a Middle AI/ML Engineer to develop and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will focus on building and iterating on machine learning and LLM-based solutions, integrating them into Foundry workflows to support analytics, automation, and decision-making. You will collaborate closely with data engineers, business analysts, and domain experts to deliver practical, production-ready AI solutions.

Responsibilities:

• Develop and enhance machine learning and AI models to support predictive analytics, classification, forecasting, and AI-assisted workflows.
• Build AI and ML solutions within Palantir Foundry, using Python and existing Foundry pipelines, Ontology objects, and workflows.
• Apply LLMs and NLP techniques (e.g. prompt engineering, fine-tuning, embeddings, retrieval-augmented workflows) using Palantir AIP for enterprise use cases.
• Collaborate with data engineers to understand data sources, ensure data quality, and prepare datasets for model training and inference.
• Conduct experiments, evaluate model performance, and iterate on features and model approaches.
• Integrate AI models into Foundry workflows to surface insights and support business processes.
• Support model deployment and monitoring by following established team standards and best practices.
• Work closely with business and domain stakeholders to translate requirements into practical AI-driven solutions.
• Document model behavior, assumptions, and limitations to support transparency and compliance.
• Stay up to date with applied AI and GenAI trends and contribute ideas under guidance from senior team members.

Requirements:

• 3+ years of experience in machine learning, AI engineering, or applied data science.
• Strong Python skills; experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Practical experience with RAG architectures, vector databases, and retrieval strategies
• Hands-on experience with LLMs, NLP, or GenAI use cases (e.g. prompt design, embeddings, text classification, summarization).
• Practical understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and iteration.
• Experience working with structured data (tabular, time series); exposure to text or unstructured data is a plus.
• Familiarity with enterprise data environments and collaborative development workflows.
• Ability to clearly explain model results and AI behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to have: 

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

We are looking for an experienced Data Engineer to design and maintain robust data infrastructure across our systems. In this role, you will be responsible for building scalable data pipelines, ensuring data integrity, and integrating third-party data sources. Your primary focus will be to enable efficient data flow and support analytical capabilities across the organization. You will also contribute to the development of our data architecture, implement best engineering practices, and collaborate closely with cross-functional teams to turn raw data into actionable insights.

Requirements

• 3+ years of commercial experience in Data Engineering
• Experience gathering business requirements and communicating with stakeholders
• Strong knowledge of Data Warehouse (DWH) architecture and principles
• Hands-on experience designing data warehouses and building ETL pipelines
• Deep practical experience with Python
• Hands-on experience in one or more of the following areas: data processing using PySpark, Apache Spark, Pandas, or similar frameworks; data scraping; integration of third-party data sources and APIs
• Proficiency in SQL and relational databases such as PostgreSQL and MySQL
• Hands-on experience with column-oriented databases such ClickHouse, Snowflake, Cassandra, BigQuery (many tables with millions of records and above each)
• Solid understanding of software design patterns, algorithms, and data structures
• Intermediate English proficiency

Will be a plus

• Experience with messaging platforms such as RabbitMQ or Kafka
• Familiarity with DataOps practices and data pipeline automation
• Familiarity with CI/CD pipelines and Kubernetes environments
• Background in FinTech or Trading domains

Responsibilities

• Communicate with technical and non-technical stakeholders to gather and clarify business requirements
• Review and analyze data and business logic to ensure consistency, accuracy, and reliability
• Design, implement, and maintain data pipelines for efficient and scalable data processing
• Integrate, maintain, and support data solutions and third-party data sources
• Research and evaluate third-party tools, services, and components for potential use
• Follow engineering best practices, including code reviews, testing, refactoring, and continuous delivery
• Design, optimize, and maintain data storage solutions

What we offer:

• Tax expenses coverage for private entrepreneurs in Ukraine
• Expert support and guidance for Ukrainian private entrepreneurs
• 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 insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

It's a product company at the core of Web3 infrastructure — the connectivity layer between wallets and apps across blockchains. Since 2018 they've grown to 75K+ apps, 700+ wallets, 50M+ users, backed by $38M (Union Square Ventures, Shopify, Coinbase Ventures, Circle Ventures, Uniswap Labs). They've just launched a crypto & stablecoin payments product — already live in Stripe, Coinbase Commerce, Shopify, and BitPay, plus an Ingenico deal reaching 40M+ terminals in 120+ countries.

This role sits at the intersection of data engineering and backend systems. You’ll build and operate event-driven data pipelines, maintain real-time processing systems, and ensure data quality across high-volume transactional workflows. You’ll also build backend services that expose data to internal platforms and APIs, so teams across the company can consume it.

Day-to-day, you’ll work with Python, SQL, ClickHouse, Airflow, and dbt within an event-driven architecture. You’ll own the systems you build end-to-end — including monitoring, reliability, and data correctness — and collaborate with product, engineering, and infrastructure teams to support new data use cases as the platform grows.

What they're after:

• 5+ years in data engineering — production pipelines you've built and operated
• Event-driven, real-time / near real-time processing
• Strong SQL + Python; modern stack (Airflow, dbt, ClickHouse, BigQuery, or similar)
• Nice to have: fintech/payments data, Web3, Rust

IMPORTANT: The company considers candidates only from fintech, payments, or high transaction volume products (e.g. Stripe, Adyen, Checkout.com, Revolut, and similar).

About the role and client:
We are looking for an Scraping Engineer who will design, build, and operate large-scale, resilient web scraping systems, with a focus on Google and Google-like search environments. This role sits at the intersection of data engineering, reverse engineering, and systems reliability, and is critical to delivering accurate, timely, and trustworthy data at scale. Our client is a leader in adopting coding with AI tools. The role is ideal for someone who believes in agentic coding and would like to improve their skills.

Responsibilities:
- Design and maintain large-scale Python scraping systems that operate reliably against Google and other highly defended websites
- Build scrapers for dynamic, JavaScript-heavy pages using browser automation and hybrid approaches
- Continuously adapt to changes in page structure, request flows, and anti-automation mechanisms
- Engineer robust extraction pipelines that prioritise data accuracy, consistency, and observability
- Implement proxy, fingerprinting, and request-routing strategies to maximise stability and throughput
- Monitor scrape health, detect failures early, and rapidly debug production issues
- Optimise performance, cost, and latency across scraping infrastructure
- Work closely with data engineers, data scientists, and product teams to ensure scraped data is usable and trusted
- Document scraping logic and operational runbooks for long-term maintainability

Requirements:
- Professional experience with Python (or another main language, i.e. GoLang, Rust, JavaScript) including production-grade scraping systems
- Experience scraping Google or similarly protected platforms
- Understanding of HTTP, TLS, cookies, headers, redirects, and browser networking behaviour
- Experience with tools such as Playwright, Selenium, Puppeteer, or equivalent browser automation frameworks
- Knowledge of HTML parsing, DOM traversal, and data extraction techniques
- Experience handling rate limiting, CAPTCHA, IP rotation, and bot detection systems
- Comfortable working with asynchronous and concurrent scraping architectures
- Experience running scrapers at scale in cloud environments
- Debugging skills and ability to reason about complex failure modes
- Experience with headless browser fingerprinting and anti-bot evasion techniques

Nice-To-Have:
- Familiarity with containerisation and orchestration, such as Docker and Kubernetes
- Experience with distributed task systems and job queues
- Background in data quality monitoring and anomaly detection
- Experience working with search, advertising, or competitive intelligence data

What the client offers:
- Startup Engineering culture
- Remote working
- Strong Culture
- Award-Winning Product
- Stock Options
- Trust-Based Vacation
- Flexible Work
- Career Growth
- Monthly Hackdays & Training Days
- Family Care Package
- Home Office Stipend
- Swag Welcome Gift
- Birthday Day Off
- Regular Socials
- Volunteer Days

We are looking for strong engineers with solid experience in AWS, Spark/PySpark, data pipelines, and distributed data processing who are open to new opportunities and future project engagements.

Requirements

Must have

• 5+ years of commercial experience in Data Engineering
• Strong experience with AWS
• Hands-on experience with Spark / PySpark
• Experience building and maintaining data pipelines and ETL/ELT processes
• Experience with AWS S3
• Experience with Kafka, Kinesis, or similar streaming technologies
• Good knowledge of SQL and experience with PostgreSQL, MySQL, Redshift, or similar databases
• Experience with DynamoDB or other NoSQL databases
• Experience working with containerized applications, ideally AWS ECS / Fargate
• Strong understanding of distributed data processing and scalable data architectures
• Good English communication skills

Nice to have

• AWS Glue
• Amazon EMR
• AWS Batch
• AWS Step Functions
• Apache Flink
• Apache Beam
• Cassandra / ScyllaDB
• Experience with real-time data processing
• Experience with cloud-based data platforms

What we’re looking for

• Strong problem-solving and analytical skills
• Ability to work independently and take ownership of technical tasks
• Experience designing and improving data pipelines
• Ability to work with large-scale datasets
• Good communication and collaboration skills
• Willingness to work on different international projects depending on your experience and expertise

Digis is looking for a Data Engineer to join a long-term project with a US-based technology company operating in the hospitality domain.

About the Project
A B2B SaaS platform that helps hospitality businesses turn operational data into actionable insights and improve commercial performance.
The product is already used in a live production environment and handles significant volumes of data coming from multiple sources. Its data layer plays a central role in supporting analytics, reporting, and day-to-day business processes.
The project is currently focused on further scaling the existing data infrastructure, improving processing efficiency, and increasing the reliability of data workflows.
You will work within an international engineering team and communicate directly with the US-based CTO on technical topics and ongoing product development.

Your Responsibilities:

• Manage data pipelines from data ingestion through to analytics-ready models.
• Improve the scalability of existing services and break larger components into smaller microservices where appropriate.
• Develop, troubleshoot, and optimize ETL processes using AWS Glue, EMR, and Spark.
• Create and improve SQL queries for PostgreSQL and Redshift, with occasional work involving DynamoDB.
• Support workloads running in AWS ECS Fargate and configure local environments for development, testing, and deployment.

Requirements:

• 3+ years of experience as a Data Engineer.
• 1+ years of hands-on production experience with Spark or PySpark.
• 1+ years of experience with the AWS.
• English: Upper-Intermediate or higher.
  
  We Offer
• 20 paid vacation days per year
• 5 paid sick leaves per year with no medical documentation required
• Individual professional development plan and compensation for relevant training
• Compensation for English language courses
• Work equipment when needed, including a laptop, PC, or monitor
• Open and transparent communication across the company
• Possibility to move between Digis projects and work with different technologies
• Full accounting and legal support

Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users,  agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in  Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100  countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. 

We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. 

In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.

Who We’re Looking For:

We are looking for a proactive and technically curious DevOps Engineer who is passionate about building reliable internal infrastructure and improving engineering workflows through automation. In this role, you will contribute to the development and maintenance of CI/CD pipelines, enhance internal tools, and help ensure stable and efficient services for engineering, security, and other internal teams. 

We value people who enjoy solving complex technical challenges, continuously improving processes, and collaborating across teams to deliver impactful solutions.

The role is based in Ukraine.

Team composition:

1 Product owner, 1 Technical Lead, 4 DevOps Engineers.

Tech Stack:

• Monitoring: Zabbix, Grafana, Graylog
• Operating Systems: Unix-like (CentOS/Debian/Ubuntu), Windows Server
• Languages: Ready to work with Python, SQL, optional: Groovy, PowerShell
• Containers: Docker (and similar container runtimes)
• Orchestration & Service Mesh: Kubernetes, Istio
• CI/CD Systems: Jenkins, TeamCity
• Cloud services: Azure/AWS (optional)

• Others: Git, Terraform, Ansible, IIS, SVN

   

Responsibilities:

• Design, develop, and optimize automation for CI/CD pipelines (builds, quality checks, deployments, e2e testing, performance testing, etc), enabling faster and safer releases for R&D teams.
• Develop and maintain tools and services for development teams, security teams, and other stakeholders.
• Build and maintain advanced monitoring, alerting, and fault-tolerance systems, ensuring proactive detection and resolution of issues.

• Partner with developers, QA engineers, and architects to implement best practices in DevOps and automation.

   

What you should expect from us:

• Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
• Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
• Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
• Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
• Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type

Responsibilities:

• Infrastructure Management & Ownership: Take full ownership of the cloud infrastructure across AWS and DigitalOcean, ensuring high availability, scalability, and security;
• CI/CD Pipeline Design: Designing, building, and maintaining robust CI/CD pipelines optimized for PHP (Laravel) and JavaScript (Vue.js) applications;
• Infrastructure as Code (IaC): Maintaining and expanding the existing infrastructure using IaC tools to ensure reproducible and documented environments;
• Monitoring & Alerting: Setting up, optimizing, and monitoring application and server metrics; establishing proactive alerting systems to minimize downtime;
• Collaboration & Leadership: Acting as a key DevOps stakeholder (co-leading the infra direction in a 2-person team), collaborating closely with the development team to streamline deployment processes and troubleshoot issues.

Requirements:

     Essential

• Strong hands-on experience with AWS (EC2, RDS, S3, IAM, VPC, Route53, etc.) and DigitalOcean (Droplets, Spaces, Load Balancers);
• Proficient with CI/CD platforms (e.g., GitHub Actions) specifically for deploying web applications;
• Deep understanding of Docker (writing optimized Dockerfiles, managing multi-container environments);
• Strong knowledge of Linux/Unix administration, web servers (Nginx, Apache), and process managers;
• Experience managing and scaling databases (MySQL/PostgreSQL) and caching layers (Redis, Memcached);

• Proficiency in Bash or Python for automation tasks.

   

  Desirable

• Experience with Terraform or Ansible;
• Basic or hands-on experience with Kubernetes (e.g., AWS EKS or DigitalOcean Kubernetes) in case of future migration;
• Understanding the lifecycle of Laravel app (queues, Horizon, Artisan) and Vue.js building/caching strategies (Vite/Webpack);
• Experience with ELK stack, OpenSearch, Graylog, or cloud-native logging.
• Experience with security, privacy, and compliance standards and regulations, such as HIPAA, ISO 27001, and GDPR, would be a plus.

We offer:

• Comfortable working hours (10-19 Kyiv time zone);
• Regular result-based performance and salary reviews;
• Bonus system;
• Attractive social package (unlimited and fully paid sick days, fully paid vacation, birthday day off, etc;)
• Corporate equipment on request;
• Fully or partially funded education (courses, certifications, conferences, etc.)
• Partial payment for English and Sports;
• Friendly and open-minded team;
• Established product-focused environment;
• Range of tasks, from quick and simple to challenging investigation to run;
• Cheerful & dynamic environment;
• Virtual workspace with perspective to move into one of the offices;
• Mentorship.

Hiring steps:

• First interview with the Recruiter;
• Technical interview with the CTO;
• Job Offer.

The Fourth Law is a leading Ukrainian manufacturer of autonomy technologies for drones. Our solutions are codified according to NATO standards and are currently utilized by over 50 units of the Security and Defense Forces of Ukraine, as well as 20+ drone manufacturers.

Our products are named after prominent Ukrainian figures of the “Executed Renaissance” and the “Sixtiers” movement—Vasyl Stus, Olena Teliha, Mykola Zerov, and Anatoliy Lupynos.

In 2026, the company was recognized by DOU as the most promising project in the defense tech sector.

Purpose of the Role: Develop and implement intelligent models to solve real-world business challenges. You will transform theoretical algorithms into functional tools that enhance our product

Key Responsibilities:

• Design, implement, and optimize machine learning models and algorithms;
• Collaborate with data scientists, software engineers, and product teams to deploy ML solutions;
• Conduct data preprocessing, feature engineering, and model evaluation;
• Monitor and maintain the performance of deployed ML models in production;
• Document model development, experiments, and results clearly and consistently;
• Stay up-to-date with the latest advancements in machine learning and AI technologies.

Experience and skills we are looking for:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field;
• 3+ years of experience in machine learning, data science, or related fields;
• Strong programming skills in Python, R, or similar languages;
• Proficiency with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn;
• Experience with model training, evaluation, and optimization for real-world applications;
• Solid understanding of machine learning algorithms, data structures, and statistical methods;
• Ability to work independently, manage multiple tasks, and collaborate with cross-functional teams.

Why Choose US?

• Work that has a real impact. We build products that directly strengthen Ukraine’s defense capabilities.
• Opportunity to work alongside top-tier engineers in MilTech and autonomous systems.
• Official employment under the Diia.City legal framework.
• The possibility of reservation (deferment) for conscripts in accordance with the requirements of current legislation.
• Annual paid leave — 24 calendar days.
• Additional paid leave for veterans — 14 calendar days.
• Paid sick leave in accordance with the law.
• Possibility of reimbursement for training costs according to internal company policies.

We are not just looking for employees, but for like-minded individuals who share our values and are ready to build the future of Ukrainian MilTech.

About the role

We're looking for a Middle DevOps Engineer to join our engineering team and help build, automate, and maintain reliable cloud infrastructure. You'll work closely with software engineers, QA, and architects to improve deployment processes, optimize cloud environments, and ensure high availability of our applications.

Responsibilities

• Design, implement, and maintain cloud infrastructure in AWS and Microsoft Azure.
• Build and improve CI/CD pipelines.
• Automate infrastructure provisioning using Infrastructure as Code.
• Monitor application performance and infrastructure health.
• Improve system reliability, scalability, and security.
• Collaborate with development teams to streamline deployment processes.
• Troubleshoot production issues and participate in incident response.
• Optimize cloud costs and infrastructure performance.
• Maintain documentation and operational best practices.

Requirements

• 4+ years of experience as a DevOps Engineer or Site Reliability Engineer.
• Hands-on experience with both AWS and Microsoft Azure.
• Strong knowledge of Linux administration.
• Experience with Docker.
• Experience with Infrastructure as Code (IaC) using Terraform.
• Experience building CI/CD pipelines using Bitbucket Pipelines or other modern CI/CD platforms (e.g., GitHub Actions, GitLab CI, Jenkins, Azure DevOps).
• Knowledge of networking fundamentals (DNS, VPN, Load Balancers, Firewalls).
• Experience with monitoring and logging tools (Prometheus, Grafana, ELK, Datadog, CloudWatch, Azure Monitor, etc.).
• Experience with scripting (Bash, Python, or PowerShell).
• Understanding of security best practices and IAM.
• Experience working with Git.
• Good communication skills in English.

Nice to have

• AWS and/or Azure certifications.
• Experience with Kubernetes.
• Experience with serverless solutions.
• Experience with PostgreSQL, MySQL, or SQL Server administration.
• Experience with Redis, RabbitMQ, or Kafka.
• Knowledge of FinOps and cloud cost optimization.

We are looking for a Senior/Lead Big Data Engineer who can help us to create the data pipelines for the data platform we are designing now.

-3+ years of hands-on experience in the big-data field: Hadoop, Spark, Spark Streaming, MR.

-3+ years of experience with relevant cloud data services (AWS, Azure, GCP) like EMR, Glue, S3, Lambda, Fargate, DynamoDB, ADF, Azure functions, Azure Blob Storage, DataProc & DataFlow, BigQuery.

-Knowledge of DataBricks will be significant benefit for the candidate.

-Excellent knowledge and hands-on experience of SQL in context of Big Data: Spark SQL, Hive QL

- Ability to understand and optimize Spark execution plans via Spark UI

- Excellent knowledge of Python or Scala

- Batch processing and ETL principles in Data Warehouses.

- Data completeness signals and orchestration

- Approaches for historical reprocessing and data correction

- Handling bad data and late data in inputs and outputs

- Schema migrations and datasets evolution

- B2 Strong speaking English.

- Ability to learn fast new set of tools and technology used internally: Radar, platform services, telemetry providers, Spark-as-a-Service, build system and much more.

Will be a plus

- Understanding of functional programming ideas and principles.

- Experience in building and using web services.

- Experience with any of Teradata, Vertica, Oracle, Tableau.

- Spark Streaming and Kafka.

- Experience or knowledge of: Apache Iceberg, Trino (Presto), Druid, Cassandra, Blob storage like AWS.

- Understanding or experience with Azkaban or Airflow.

Description

The Digital Health organization is technology team which focused on next generation Digital Health capabilities which deliver on the Medicine mission and vision to deliver Insight Driven Care. This role will operate within the Digital Health Applications & Interoperability subgroup of the broader Digital Health team, focused on patient engagement, care coordination, AI, healthcare analytics & interoperability amongst other advanced technologies which enhance our product portfolio with new services, while improving clinical & patient experiences.

The project is a cloud-based PaaS Ecosystem built with a privacy by design centric approach to provide a centralized cloud-based platform to store, classify, and control access to federated datasets in a scalable, secure, and efficient manner.

The ecosystem will allow Customer Operating Units (medical device departments) to store federated data sets of varying sizes and formats and control access to those data sets through Data steward(s). Source data sets can be exposed to qualified use cases and workflows through different project types.

The Healthcare Data Platform ecosystem will provide ML/AI project capabilities for streamlined development processes and a ML/AI workbench to enhance data exploration, wrangling, and model training.

In queue: 15+ OU’s. At this moment focused on – Nuero, Cardio, Diabetes is the OU that data platform is working with, but there could be more OU’s coming up with requirements in future.

GL Role: is to work on the enhancement of current capabilities, including taking over the work that AWS proserve team is doing, and develop new requirements that will keep coming from different OU’s in the future.

Requirements

• AWS Platform: Working experience with AWS data technologies, including S3, AWS RDS, and Lake Formation
• Programming Languages: Strong programming skills in Python
• Data Formats: Experience with JSON, XML, and other relevant data formats
• CI/CD Tools: Ability to deploy using established CI/CD pipelines using GitLab CI, Jenkins, Terraform or similar tools
• Scripting and automation: experience in scripting languages such as Python, PowerShell, etc.
• Monitoring and Logging: Familiarity with monitoring & logging tools like CloudWatch, Splunk, ELK, Dynatrace, Prometheus
• Source Code Management: Expertise with GitLab
• Documentation: Experience with markdown and in particula,r Antora for creating technical documentation
• Previous Healthcare or Medical Device experience
• Experience implementing enterprise grade cyber security & privacy by design into software products
• Experience working in Digital Health software
• Experience developing global applications
• Strong understanding of SDLC;
• Experience with Agile methodologies
• Software estimation
• Experience leading software development teams onshore and offshore

Job responsibilities

• Implement data pipelines using AWS services such as AWS Glue, Lambda, Kinesis, etc
• Implement integrations between the data platform and systems such as Atlan, Trino/Starburst, etc
• Complete logging and monitoring tasks through AWS and Splunk toolsets
• Develop and maintain ETL processes to ingest, clean, transform and store healthcare data from various sources
• Optimize data storage solutions using Amazon S3, AWS RDS, Lake Formation and other AWS technologies.
• Document, configure, and maintain systems specifications that conform to defined architecture standards, address business requirements, and processes in the cloud development & engineering.
• Participate in planning of system and development deployment as well as responsible for meeting compliance and security standards.
• Actively identify system functionality or performance deficiencies, execute changes to existing systems, and test functionality of the system to correct deficiencies and maintain more effective data handling, data integrity, conversion, input/output requirements, and storage.
• Document testing and maintenance of system updates, modifications, and configurations.
• Leverage platform process expertise to assess if existing standard platform functionality will solve a business problem or customization solution would be required.
• Test the quality of a product and its ability to perform a task or solve a problems.
• Perform basic maintenance and performance optimization procedures in each of the primary operating systems.
• Ensure system implementation compliance with global & local regulatory and security standards (i.e. HIPAA, SOCII, ISO27001, etc…)