Upstaff

Summary

• 5+ years of specialized experience as a Salesforce Engineer & Administrator with a focus on Salesforce Service Cloud
• Expert in Apex, Visualforce, Lightning Web Components (LWC), SOQL/SOSL, and Salesforce Flows
• Skilled in building secure REST and SOAP API integrations and implementing Salesforce security models including profiles and permission sets
• Experienced in DevOps practices using Salesforce CLI, GitHub, and CI/CD pipelines for efficient change management and deployment
• Background in unit testing, debugging, and automated testing frameworks such as Provar
• Knowledgeable in web technologies (HTML, CSS, JavaScript) and advanced Salesforce certifications and architectures

Role Overview

We are looking for a Middle Salesforce Developer to join a technology team responsible for delivering strategic projects, platform enhancements, and change requests across a Salesforce environment.

The role involves supporting multiple business functions and contributing to Salesforce development, integrations, automation, system quality, and continuous improvement. The developer will work closely with technical and business stakeholders and contribute to maintaining a scalable and well-governed Salesforce platform.

Responsibilities

• Design, develop, and implement custom Salesforce solutions using Apex, Visualforce, Lightning Web Components (LWC), and Salesforce Flows.
• Build and maintain secure integrations between Salesforce and internal/external systems using REST, SOAP, Bulk API, and other integration patterns.
• Develop and maintain complex Salesforce Flows and process automations, balancing declarative and programmatic solutions.
• Participate in code reviews, troubleshooting, unit testing, debugging, and quality assurance activities.
• Work with version control and CI/CD processes to support reliable deployments and change management.
• Maintain technical documentation, system audit evidence, and records related to integrations and customizations.
• Collaborate with technical and non-technical stakeholders on requirements, solutions, and delivery.
• Provide technical support and guidance to junior developers and Salesforce administrators.
• Contribute to platform architecture, code quality, operational excellence, and continuous improvement.

Technologies & Tools

• Salesforce: Apex, Visualforce, Lightning Web Components (LWC), Salesforce Flows, SOQL/SOSL
• Integrations: REST, SOAP, Bulk API, API integration patterns
• Web: HTML, CSS, JavaScript
• Security: Salesforce profiles, permission sets, sharing rules, roles
• Testing: Unit testing, debugging, automated testing tools such as Provar
• DevOps: Salesforce CLI, GitHub, CI/CD pipelines, deployment workflows

Certifications

• Salesforce Advanced Administrator, Platform Developer, System Architect, or Application Architect certification would be a strong plus.

Summary

Firmware Test Engineer, proficient in designing and implementing automated test protocols using Python for embedded firmware for medical devices, including HIL setups and CI/CD pipelines. Skilled in hardware debugging with lab equipment and familiar with communication protocols like I2C, SPI, and UART. V&V, design controls, familiarity with FDA compliance are w plus.

Job Description

The Senior Firmware Test Engineer will be responsible for ensuring the quality and compliance of firmware within cutting-edge medical devices. This role requires an understanding of medical device development processes, including verification and validation (V&V), design controls, risk management, and regulatory compliance. The engineer will design, develop, and execute comprehensive test plans and automated test scripts to validate firmware and hardware functionality, collaborating closely with cross-functional teams.

Skills and Competencies:

• Experience with design and implementation of test plans for verification and validation in compliance with FDA development standards
• Strong proficiency in Python
• Python-based automated test frameworks for embedded firmware
• Experience with HIL (hardware-in-loop) test setups and automation
• Experience with CI/CD processes for automation and version releases
• Linux-based testing rigs
• Proficiency with Git for software version control
• Hands-on experience with lab equipment such as DMMs, oscilloscopes, and logic analyzers
• Strong debugging skills across hardware, firmware, and software layers

Location and Duration:

This position was based in Ukraine or Slovakia with a project duration of one month.

Summary

• Strong expertise in Jira and Atlassian ecosystem;
• Audit of current Jira setup and recommendations for improvements;
• Jira customization, reporting and automations;
• Experience with Jira Service Management / Service Desk;
• Ability to independently advise the client and propose solutions, rather than just perform assigned tasks.
   

Job Description

We are looking for a Senior/Expert Jira & Atlassian Consultant with deep expertise in Jira and the broader Atlassian ecosystem. This is not a Jira Administrator role. We are looking for someone who can independently assess the client’s current setup, identify improvement opportunities, and recommend and implement effective solutions.
 

Key Responsibilities

• Audit and assess the existing Jira setup and Atlassian environment
• Identify gaps and opportunities for optimization and improvement
• Provide recommendations on Jira configuration, customization, workflows, reporting, and automation
• Work with Jira Service Management/Service Desk
• Advise the client on best practices and suitable Atlassian solutions
• Independently analyze requirements and propose solutions rather than only executing predefined tasks
• Support the client with Jira/Atlassian-related consulting and technical guidance
   

Requirements

• Deep hands-on expertise with Jira and the Atlassian ecosystem
• Strong experience with Jira customization, workflows, reporting, and automation
• Experience with Jira Service Management/Service Desk
• Strong consulting and problem-solving skills
• Ability to independently communicate with clients, understand their needs, and recommend appropriate solutions
• Experience auditing and optimizing existing Jira environments
   

Engagement

• Global / location-flexible
• Initial engagement expected to be approximately 1–2 months
• Full-time or part-time
• Potential for ongoing support after the initial engagement

We are currently conducting market research and would like to identify consultants who could potentially take on this type of engagement.

Summary

Expert Data Engineer with 3+ years in Power BI Pro, Azure SQL, and complex ETL pipeline development. Skilled in DAX, Power Query, and Azure Synapse notebooks for advanced data analytics and performance tuning. Proven expertise in optimizing Azure Data Lake Storage with Parquet file techniques and managing large-scale backend data processing. Experienced in Agile methodologies, data warehousing, and software engineering best practices, delivering high-quality solutions in cross-functional teams.

Role Overview:
 

The Senior/Expert Data Engineer position is a contract, long-term engagement based in Ukraine, focused on delivering advanced data engineering solutions using Databricks, Power BI, and SQL. The role is embedded within a global consulting and auditing firm supported by a custom product engineering company. The candidate will join a cross-functional development team responsible for engineering innovative data experiences and solving complex business challenges for multinational organizations and scaling startups.

Key Responsibilities:

• Design, develop, and deploy Power BI solutions, including dashboards and reports that provide critical business insights.
• Create and implement robust data models optimized for performance and efficient query execution.
• Optimize Power BI reports and dashboards by improving query speed and data model efficiency.
• Contribute to the design, coding, configuration, and management of data ingestion processes, supporting both near real-time and batch ETL pipelines across multiple data storage systems.
• Perform performance tuning and optimization of complex SQL and DAX queries to enhance data processing efficiency.
• Develop, execute, and maintain data processing workflows using Azure Synapse notebooks.
• Manage and optimize data storage solutions within Azure Data Lake Storage (ADLS), focusing on Parquet file optimization techniques such as partitioning and compression.
• Identify platform gaps and implement improvements to enhance quality, robustness, maintainability, and speed.
• Cross-train team members on emerging technologies and continuously learn from peers to foster knowledge sharing.
• Contribute actively to the unit’s community-building activities, participate in conferences, and uphold best practices and excellence in engineering.

Projects:

The job description does not specify individual project names or dates. However, the candidate’s contributions span multiple projects involving the following contexts and responsibilities:

• Power BI Solution Development: Serving as the lead data engineer responsible for designing and deploying Power BI dashboards and reports, performing advanced data analytics, and implementing complex DAX calculations and Power Query transformations to support business decision-making.
• ETL Pipeline Engineering: Managing and optimizing complex ETL pipelines involving data ingestion, batch processing, and near real-time data flows across diverse data storages, utilizing Azure Data Factory and Azure Synapse Analytics.
• Data Storage Optimization: Overseeing data storage management in Azure Data Lake Storage, applying advanced Parquet file optimization techniques such as partitioning and compression to improve data retrieval and storage efficiency.
• SQL and DAX Performance Tuning: Leading efforts to optimize complicated SQL queries and DAX formulas to enhance report and dashboard performance.
• Azure Synapse Notebook Development: Developing and maintaining data processing workflows within Azure Synapse notebooks to support large-scale backend data processing and analysis systems.

Technologies, Tools, and Methodologies Used:

• Databricks
• Power BI Pro (Desktop and Service)
• DAX (Data Analysis Expressions)
• Power Query
• SQL (Azure SQL Database, Microsoft SQL Server)
• Azure Data Lake Storage (ADLS)
• Parquet file format with optimization techniques (partitioning, compression)
• Azure Synapse Analytics and Notebooks
• Azure Data Factory
• ETL and data integration processes
• Agile software development methodologies, including SCRUM

• Software engineering best practices: coding standards, code reviews, source control, build processes, testing, and operations

   

Additional Contributions and Skills:

• Strong problem-solving and analytical skills with meticulous attention to detail.
• Excellent communication skills, capable of presenting complex data clearly and concisely to stakeholders at various organizational levels.
• Experience collaborating within cross-functional teams and contributing to community-building and knowledge sharing.
• Demonstrated ability to learn new technologies quickly and independently.
• Proven track record of delivering high-quality software on large, complex, cross-functional projects.