Akkodis (formerly Modis) is a global leader in the engineering and R&D market that is leveraging the power of connected data to accelerate innovation and digital transformation.
With more than 17 years of experience in Bulgaria we deliver technology solutions in IT Software Cloud and Digital fields. We have around 1200 employees in our two office locations and now we are looking for more talents to join us in our mission of engineering a smarter future.
Job Description
As part of the development of the Hewlett Packard Inc project we are looking for smart dynamic people willing to take the challenge and join our international and culturally diverse team as a Reliability Manager. The Team will be positioned in Sofia and will support the WW Technical part of the Technical team the Reliability Manager leads initiatives to enhance the early-life performance of certified spare parts by identifying potential failures and driving corrective solutions. The role focuses on improving reliability through rigorous testing data-driven analysis and close collaboration with product teams engineering and suppliers to ensure parts meet performance standards and deliver long-term customer satisfaction.
Responsibilities
Develop and implement early-life testing programs using engineering methodologies to identify parts that may fail prematurely.
Apply statistical techniques and engineering analysis to evaluate failure data detect early-life issues and drive product quality improvements.
Conduct statistical modeling and engineering-based assessments to strengthen reliability predictions and optimize corrective actions.
Investigate new technologies such as AI and RFID for supply chain optimization integrating engineering insights into practical applications.
Collaborate with R&D product quality teams and suppliers leveraging statistical data analysis and engineering expertise to enhance spare parts reliability during the early-life phase.
Drive continuous improvement initiatives by combining statistical evaluation with engineering innovation to meet corporate quality standards.
Assess whether the repairable world process is effective acting as a consultant to guide strategic decisions.
Analyze large volumes of data applying self-learning approaches to transform raw information into actionable insights.
Serve as a single source of truth for data interpretation collaborating with multiple teams to ensure consistent understanding.
Answer critical business questions such as Is this item worth repairing by leveraging statistical evaluation engineering insights and customer feedback.
Attending regular weekly update calls with different teams within the organization
Actively communicate via email to respond to related questions
Proactively address upcoming issues and suggest solutions to Team Lead
Adhere to feedback addressed by TL
Actively participate in training newcomers / colleagues
Requirements
Excellent communication in English / C1 (Verbal and Written)
Experience in MS Office & SharePoint.
Reliability testing and analysis.
Data analytics and predictive modeling.
Statistical analysis and reliability modeling (e.g. Weibull analysis regression techniques).Familiarity with AI RFID and emerging supply chain technologies.
Strong collaboration and communication skills.
Problem-solving and strategic thinking.
Ability to lead cross-functional initiatives.
Familiarity with Reliability analysis tools ERP systems Tableau and Quality dashboards
Good Team player
Ability to work under pressure
At least 3 years in reliability engineering product quality.
Experience in JMP Statistics Tool will be considered an advantage
Bachelors degree in engineering statistical data analyst
What we offer:
- Competitive remuneration package
- Referral bonus program
- 24 days annual paid leave
- Additional health insurance (outpatient & hospital medical care dental care coverage of dioptric glasses and more)
- Free Psychological Counselling via Green Line and on the spot
- Newborn or newly adopted child bonus
- Food vouchers - 150 BGN/month
- Upskilling & reskilling training programs and e-learning hub
- Recognition awards
- Sports cards (partially covered by the employer) and company sports initiatives
- Special company discounts
- Various social and charity initiatives
The future is here for the making. Are you ready
Lets make the incredible happen.
Required Experience:
Manager
Akkodis (formerly Modis) is a global leader in the engineering and R&D market that is leveraging the power of connected data to accelerate innovation and digital transformation.With more than 17 years of experience in Bulgaria we deliver technology solutions in IT Software Cloud and Digital fields. ...
Akkodis (formerly Modis) is a global leader in the engineering and R&D market that is leveraging the power of connected data to accelerate innovation and digital transformation.
With more than 17 years of experience in Bulgaria we deliver technology solutions in IT Software Cloud and Digital fields. We have around 1200 employees in our two office locations and now we are looking for more talents to join us in our mission of engineering a smarter future.
Job Description
As part of the development of the Hewlett Packard Inc project we are looking for smart dynamic people willing to take the challenge and join our international and culturally diverse team as a Reliability Manager. The Team will be positioned in Sofia and will support the WW Technical part of the Technical team the Reliability Manager leads initiatives to enhance the early-life performance of certified spare parts by identifying potential failures and driving corrective solutions. The role focuses on improving reliability through rigorous testing data-driven analysis and close collaboration with product teams engineering and suppliers to ensure parts meet performance standards and deliver long-term customer satisfaction.
Responsibilities
Develop and implement early-life testing programs using engineering methodologies to identify parts that may fail prematurely.
Apply statistical techniques and engineering analysis to evaluate failure data detect early-life issues and drive product quality improvements.
Conduct statistical modeling and engineering-based assessments to strengthen reliability predictions and optimize corrective actions.
Investigate new technologies such as AI and RFID for supply chain optimization integrating engineering insights into practical applications.
Collaborate with R&D product quality teams and suppliers leveraging statistical data analysis and engineering expertise to enhance spare parts reliability during the early-life phase.
Drive continuous improvement initiatives by combining statistical evaluation with engineering innovation to meet corporate quality standards.
Assess whether the repairable world process is effective acting as a consultant to guide strategic decisions.
Analyze large volumes of data applying self-learning approaches to transform raw information into actionable insights.
Serve as a single source of truth for data interpretation collaborating with multiple teams to ensure consistent understanding.
Answer critical business questions such as Is this item worth repairing by leveraging statistical evaluation engineering insights and customer feedback.
Attending regular weekly update calls with different teams within the organization
Actively communicate via email to respond to related questions
Proactively address upcoming issues and suggest solutions to Team Lead
Adhere to feedback addressed by TL
Actively participate in training newcomers / colleagues
Requirements
Excellent communication in English / C1 (Verbal and Written)
Experience in MS Office & SharePoint.
Reliability testing and analysis.
Data analytics and predictive modeling.
Statistical analysis and reliability modeling (e.g. Weibull analysis regression techniques).Familiarity with AI RFID and emerging supply chain technologies.
Strong collaboration and communication skills.
Problem-solving and strategic thinking.
Ability to lead cross-functional initiatives.
Familiarity with Reliability analysis tools ERP systems Tableau and Quality dashboards
Good Team player
Ability to work under pressure
At least 3 years in reliability engineering product quality.
Experience in JMP Statistics Tool will be considered an advantage
Bachelors degree in engineering statistical data analyst
What we offer:
- Competitive remuneration package
- Referral bonus program
- 24 days annual paid leave
- Additional health insurance (outpatient & hospital medical care dental care coverage of dioptric glasses and more)
- Free Psychological Counselling via Green Line and on the spot
- Newborn or newly adopted child bonus
- Food vouchers - 150 BGN/month
- Upskilling & reskilling training programs and e-learning hub
- Recognition awards
- Sports cards (partially covered by the employer) and company sports initiatives
- Special company discounts
- Various social and charity initiatives
The future is here for the making. Are you ready
Lets make the incredible happen.
Required Experience:
Manager
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