Junior DevOps Engineer

A career that’s the whole package!
At Conga, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an environment where every voice is heard.

Conga
lines up commercial operations so companies run as connected, smarter businesses. By unifying the people and processes that drive commerce, Conga aligns pricing, quoting, contracting, rebates, and communications so teams stay in sync and buyers keep moving forward. The result is trusted decisions, consistent buyer experiences, and profitable growth. More than 10,000 customers worldwide, including over 50% of the Fortune 100®, trust Conga when commercial complexity is high and global impact is on the line.

A quick snapshot
As a Staff Software Engineer on Conga’s AI Platform team, you’ll be a key technical leader shaping the design, development, and deployment of scalable, reliable, and innovative AI and GenAI solutions. You’ll lead high‑impact projects, set technical direction, mentor engineers, and ensure our systems meet the highest standards of performance and quality.

This role is ideal for an experienced engineer who thrives on solving complex technical challenges, influencing architectural decisions, and driving excellence across teams.

Why it's a big deal
Conga’s AI Platform is the intelligence engine behind our products. The systems you architect, the models you deploy, and the frameworks you build directly impact how customers configure deals, manage contracts, and drive revenue.

Your leadership will shape how Conga builds AI at scale - from generative AI features to production‑grade model deployment - making this role central to our long‑term innovation strategy.

Are you the person we're looking for?
You’re a seasoned technical leader.
You bring deep expertise (minimum 10 years of experience) in Python, FastAPI, PyTest, Celery, and modern design patterns. You’ve built large‑scale, production‑grade systems and understand distributed systems, microservices, and cloud‑native architecture.

You drive architectural decisions.
You define and influence technical direction across teams. You lead design discussions, evaluate tradeoffs, and ensure solutions are scalable, maintainable, and aligned with long‑term product strategy.

You’re an expert in AI/ML and GenAI.
You have significant experience building AI/ML or GenAI applications. You understand model training, deployment, monitoring, and lifecycle management. You’re familiar with frameworks like LangChain and LangGraph and have hands‑on experience with modern ML techniques, generative models, or LLMs.

You elevate teams through mentorship.
You coach senior and junior engineers, raise the bar for code quality, and foster a culture of technical excellence. You provide thoughtful feedback, share knowledge, and help others grow.

You take full ownership in a DevOps model.
You lead projects end‑to‑end — from ideation and design to deployment and monitoring. You ensure services are reliable, observable, and resilient. You respond to incidents, drive root‑cause analysis, and implement preventive measures.

You collaborate and influence across the organization.
You partner with product managers, data scientists, and engineering leadership to deliver cohesive solutions. You articulate technical decisions clearly and help stakeholders understand their business impact.

What Will Give You An Edge

• Hands‑on experience with advanced ML algorithms, generative models, NLP, transformers, or diffusion models
• Deep familiarity with AI frameworks (TensorFlow, PyTorch)
• Experience with SQL or NoSQL databases (MongoDB, MSSQL, PostgreSQL)
• Experience with GCP technologies (VertexAI, BigQuery, GKE, GCS, DataFlow)
• Experience with Docker, Kubernetes, or infrastructure‑as‑code tools
• Experience with messaging systems like Kafka
• Contributions to open‑source projects or the AI/ML community
• Additional programming languages (C#, Java, Scala)

Did we pique your interest?
If this sounds like the kind of job you would love in the kind of environment where you would thrive, please click apply. We'd love to hear from you!

Preferred Resume Format
We accept resumes in any format, we suggest using PDF or plain text. These formats help ensure that your resume’s formatting remains intact, making it easier for our recruiters to review your application promptly.

Don’t meet every requirement for the role?

Studies have shown that women and members of ethnic minorities are less likely to apply to jobs unless they meet every single qualification. At Conga we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You just might be the right candidate for this or other roles.

Additional Information

Conga is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. We understand interviewing can be stressful for those with disabilities. If reasonable accommodation is needed to allow you to show us your best self, please let your recruiter know as soon as possible. All your information will be kept confidential according to EEO guidelines. Conga is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.

Conga's Applicant Privacy Statement
The information you provide during the application process will be used in accordance with Conga’s Applicant Privacy Statement (https://conga.com/applicant\-privacy\-statement). By submitting your application, you acknowledge and agree to the terms outlined in this privacy statement.

A career that’s the whole package!
At Conga, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an environment where every voice is heard.

Conga
lines up commercial operations so companies run as connected, smarter businesses. By unifying the people and processes that drive commerce, Conga aligns pricing, quoting, contracting, rebates, and communications so teams stay in sync and buyers keep moving forward. The result is trusted decisions, consistent buyer experiences, and profitable growth. More than 10,000 customers worldwide, including over 50% of the Fortune 100®, trust Conga when commercial complexity is high and global impact is on the line.

A quick snapshot
As a Software Engineer on Conga’s AI Platform team, you’ll help build next‑generation AI and GenAI products used by enterprises worldwide. You’ll work across the full development lifecycle - designing, coding, testing, deploying, and maintaining software - while contributing to the technical foundation behind our flagship solutions.

This role is ideal for an engineer who already has solid experience and is ready to take on more ownership, work on more complex systems, and influence how features are designed and delivered.

Why it's a big deal
Our AI Platform powers the intelligence behind Conga’s products. The features you build, the services you optimize, and the models you help deploy directly impact how customers configure deals, manage contracts, and drive revenue.

Your work will shape the reliability, scalability, and performance of Conga’s AI capabilities - making this role central to our long‑term product evolution.

Are you the person we're looking for?
You’re a strong, hands
‑
on engineer.
You write clean, maintainable, efficient code and have deep experience with Python, FastAPI, PyTest, Celery, and modern software design patterns. You’re comfortable navigating complex systems and contributing to architectural discussions.

You’re Experienced Across The Full Development Lifecycle.
You’ve built and shipped production software. You understand how to design features, collaborate with product management, write tests, automate workflows, and deploy services in a cloud environment. You’re familiar with GitHub, JIRA, and DevOps principles.

You’re growing your AI/GenAI expertise.
You’re excited to work across the AI development lifecycle — from data collection and preprocessing to model training, evaluation, and deployment. You enjoy experimenting with generative AI techniques and want to deepen your knowledge of MLOps and frameworks like LangChain or LangGraph.

You Care About Quality And Service Health.
You build testable software, automate tests using tools like PyTest or Selenium, and understand the importance of telemetry, observability, and root‑cause analysis. You proactively identify issues and help maintain service reliability.

You Collaborate, Communicate, And Elevate Others.
You participate actively in design reviews, give thoughtful code review feedback, and help maintain a high bar of technical excellence. You document your work clearly and contribute to training materials that help others learn.

You take ownership.
You’re ready to work in a DevOps model — partnering with product management to design, develop, test, deploy, and maintain software in production. You manage priorities, negotiate deadlines, and deliver features with quality and clarity.

What Will Give You An Edge

• Experience with object‑oriented programming, concurrency, and REST APIs
• Experience with CI/CD tools like Terraform or GitHub Actions
• Familiarity with AI/ML, GenAI, and MLOps concepts
• Experience with SQL or NoSQL databases (MongoDB, MSSQL, Postgres)
• Experience with Docker, Kubernetes, or GCP technologies (VertexAI, BigQuery, GKE, GCS, DataFlow, Kubeflow)
• Experience with testing frameworks (PyMock, xUnit, mocking libraries)
• Additional programming languages (C#, Java, Scala)

Did we pique your interest?
If this sounds like the kind of job you would love in the kind of environment where you would thrive, please click apply. We'd love to hear from you!

Preferred Resume Format
We accept resumes in any format, we suggest using PDF or plain text. These formats help ensure that your resume’s formatting remains intact, making it easier for our recruiters to review your application promptly.

Don’t meet every requirement for the role?

Studies have shown that women and members of ethnic minorities are less likely to apply to jobs unless they meet every single qualification. At Conga we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You just might be the right candidate for this or other roles.

Additional Information

Conga is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. We understand interviewing can be stressful for those with disabilities. If reasonable accommodation is needed to allow you to show us your best self, please let your recruiter know as soon as possible. All your information will be kept confidential according to EEO guidelines. Conga is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.

Conga's Applicant Privacy Statement
The information you provide during the application process will be used in accordance with Conga’s Applicant Privacy Statement (https://conga.com/applicant\-privacy\-statement). By submitting your application, you acknowledge and agree to the terms outlined in this privacy statement.

Associate Data Engineer, Enterprise Data Engineering
Job #: req37871

Organization: World Bank

Sector: Information Technology

Grade: GF

Term Duration: 3 years 0 months

Recruitment Type: Local Recruitment

Location: Sofia,Bulgaria

Required Language(s): English

Preferred Language(s)
Closing Date: 8/10/2026 (MM/DD/YYYY) at 11:59pm UTC

Description
Do you want to build a career that is truly worthwhile? Working at the World Bank Group provides a unique opportunity for you to help our clients solve their greatest development challenges. The World Bank Group is one of the largest sources of funding and knowledge for developing countries; a unique global partnership of five institutions dedicated to ending extreme poverty, increasing shared prosperity and promoting sustainable development. With 189 member countries and more than 130 offices worldwide, we work with public and private sector partners, investing in groundbreaking projects and using data, research, and technology to develop solutions to the most urgent global challenges. For more information, visit www.worldbank.org

ITS Vice Presidency Context
The Information and Technology Solutions (ITS) Vice Presidential Unit (VPU) enables the World Bank Group to achieve its mission of ending extreme poverty and boost shared prosperity on a livable planet by delivering transformative information and technologies to its staff working in over 150+ locations. For more information on ITS, see this video: https://www.youtube.com/watch?reload\=9\&v\=VTFGffa1Y7w

Unit Context
The
ITS Data Office (ITSDO)
is the central entity within the World Bank Group’s Information and Technology Solutions (ITS) department responsible for enabling data, AI, information, and knowledge capabilities across the institution. It comprises four Units focused on platforms & tools, product & service delivery, enablement and governance. The office plays a pivotal role in advancing the Bank’s digital transformation, supporting business domains with trusted data, information and AI capabilities, and fostering a culture of responsible innovation.

The
Platforms & Tools Unit
is responsible for building, integrating, and continuously modernizing the foundational technology infrastructure that powers data, AI, archives, and knowledge services across the World Bank Group. The unit leads the rationalization and simplification of legacy systems, and modernization towards platforms that are scalable, secure, interoperable, and designed for self-service and adoption. The unit plays a critical role in enabling enterprise-wide transformation by delivering data environments, digitization infrastructure, and open knowledge repositories that are AI-ready and aligned with business needs.

Duties And Accountabilities
Data Pipeline Development

• Design, develop, and maintain data pipelines for ingestion, transformation, and serving across batch and streaming workloads
• Build ETL/ELT workflows to integrate data from diverse sources into enterprise data platforms
• Build document ingestion and processing pipelines incorporating OCR, metadata extraction, content enrichment, classification, and indexing capabilities.
• Develop data transformation logic using Apache Spark, PySpark, SparkSQL, and SQL
• Implement change data capture (CDC) patterns for real-time and near-real-time data synchronization
• Build streaming data pipelines for real-time analytics and operational use cases
• Optimize pipeline performance, resource utilization, and cost efficiency

Federated Data Pipelines & Domain Enablement

• Support federated data pipeline architecture that enables Line of Business (LOB) teams to own and manage their domain data
• Contribute to self-serve data infrastructure that abstracts complexity and allows domain teams to build pipelines independently
• Develop standardized pipeline deployment patterns that LOB teams can adopt while maintaining autonomy
• Support domain teams in building data products that are discoverable, interoperable, and compliant with enterprise standards
• Support domain teams in creating and managing structured and unstructured data products, ensuring metadata, discoverability, and interoperability across enterprise platforms.
• Enable distributed data processing across domains while ensuring consistency through federated governance
• Assist in establishing data contracts and interoperability standards that allow seamless data sharing across domains
• Support the balance between domain autonomy and enterprise-wide governance requirements

Templates, Blueprints & Patterns

• Develop reusable pipeline templates and Infrastructure as Code (IaC) patterns for common data product types
• Create blueprints for data ingestion, transformation, quality validation, and serving that LOB teams can customize
• Build standardized patterns for batch pipelines, streaming pipelines, CDC implementations, and API-based integrations
• Develop reusable patterns and accelerators for document ingestion, OCR, metadata extraction, content enrichment, and indexing of unstructured content
• Contribute to a pattern library covering medallion architecture, dimensional modeling, and data product packaging
• Document best practices and reference architectures that guide LOB teams in building compliant, high-quality pipelines
• Develop starter kits and accelerators that reduce time-to-value for domain teams building new data products
• Create cookbooks and implementation guides that translate enterprise standards into actionable steps
• Support LOB teams in adopting templates while allowing appropriate customization for domain-specific needs

Data Integration

• Integrate data from multiple internal and external sources into unified data assets
• Build reusable data integration patterns and connectors for enterprise data sources
• Implement data ingestion using Auto Loader, COPY INTO, and other ingestion frameworks
• Develop API-based data integrations and file-based data processing workflows
• Ensure data consistency and reliability across integrated sources
• Support data migration efforts and legacy system integrations

Data Modeling & Transformation

• Implement medallion architecture patterns (bronze, silver, gold) for data organization and quality progression
• Develop dimensional models, fact tables, and aggregations for analytics use cases
• Build data transformation logic that ensures accuracy, consistency, and business alignment
• Create reusable transformation components and modular pipeline designs
• Optimize data models for query performance and consumption patterns
• Support schema evolution and data versioning requirements

Data Quality & Testing

• Implement data quality checks, validation rules, and automated testing within pipelines
• Develop data profiling and anomaly detection to identify quality issues
• Build data reconciliation processes to ensure accuracy across systems
• Implement unit testing, integration testing, and regression testing for pipelines
• Monitor data quality metrics and remediate issues proactively
• Document data quality rules and thresholds for pipeline outputs

Data Observability & Operations

• Implement logging, monitoring, and alerting for pipeline health and performance
• Build dashboards to track pipeline execution, data freshness, and quality metrics
• Develop automated error handling, retry logic, and failure notifications
• Support incident response and troubleshooting for pipeline failures
• Implement data lineage tracking to support auditability and impact analysis
• Implement monitoring and observability for AI and data products, including pipeline health, data quality, and retrieval effectiveness.
• Ensure pipelines meet SLAs for data availability and freshness

Analytics & AI Enablement

• Build data pipelines that enable analytics, reporting, and business intelligence use cases
• Build and maintain document processing pipelines for extraction, classification, chunking, enrichment, and indexing of unstructured content
• Develop content chunking, metadata extraction, indexing, and enrichment workflows to support enterprise search and Retrieval-Augmented Generation (RAG) solutions.
• Prepare and serve data for machine learning and AI workloads
• Develop feature engineering pipelines for ML model development
• Create semantic layers and curated datasets that enable self-service analytics
• Support integration with analytics tools including Power BI and Tableau
• Build data products with clear documentation and consumption guidance

Collaboration & Enablement

• Partner with data architects to align pipeline development with architectural standards
• Collaborate with business analysts and data scientists to understand data requirements
• Work with platform engineers to leverage platform capabilities effectively
• Contribute to technical documentation, runbooks, and knowledge sharing
• Contribute to platform standards, reusable frameworks, and engineering best practices for data and AI solutions
• Support data consumers in understanding and accessing data assets
• Participate in code reviews and follow engineering best practices

Selection Criteria

Educational Qualifications And Experience

• Typically requires a Master's degree with 5 years of experience or a Bachelors Degree with a minimum of 7 years of relevant experience, or equivalent combination of education and experience.
• 5-10 years of experience in data platform operations, cloud operations, SRE, DevOps, DataOps, production support, or platform engineering disciplines.

Certification Requirements

• SAFe or other relevant Agile certifications.
• Databricks Certified Data Engineer Associate or equivalent

Required Skills/Abilities

• Demonstrated expertise in Data Engineering, including the design, development, and optimization of scalable data pipelines, data platforms, and data processing solutions
• Experience designing and implementing solutions that leverage both structured and unstructured data to support AI, enterprise search, knowledge management, and analytics use cases
• Advanced experience designing and implementing modern data lake architectures and leveraging Google Cloud Platform / Databricks to build and maintain data engineering solutions
• Hands-on experience implementing enterprise-scale document processing capabilities, including OCR, metadata extraction, content enrichment, indexing, and knowledge discovery solutions
• Familiarity with graph databases and knowledge graph concepts to support enterprise search, knowledge discovery, and AI solutions
• Strong knowledge of data modeling, data structures and algorithms, and data integration techniques to support efficient and reliable data management
• Proven experience applying DevOps principles and practices, including automation, deployment, monitoring, and continuous improvement of data products and platforms.
• Strong understanding of workflow management and orchestration tools to support complex data processing and integration workflows.
• Experience managing and supporting the Product Development Life Cycle (PDLC), from requirements gathering and solution design through deployment and operational support
• Demonstrated ability to leverage business intelligence concepts and tools to deliver actionable insights and support data-driven decision-making
• Strong business acumen with the ability to understand organizational priorities and translate business requirements into effective technical solutions
• Experience working within Agile environments, including the Scaled Agile Framework (SAFe), and collaborating effectively across cross-functional teams
• Excellent stakeholder management, communication, and influencing skills, with the ability to build consensus and drive outcomes across technical and non-technical audiences

WBG Culture Attributes

• Sense of urgency: Anticipate and quickly respond to the needs of internal and external stakeholders.
• Thoughtful risk-taking: Challenge the status quo and push boundaries to achieve greater impact.
• Empowerment and accountability: Empower yourself and others to act and hold each other accountable for results.

World Bank Group Core Competencies

The World Bank Group offers comprehensive benefits, including a retirement plan; medical, life and disability insurance; and paid leave, including parental leave, as well as reasonable accommodations for individuals with disabilities.

We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability.

Learn more about working at the
World Bank
and
IFC
including our values and inspiring stories.

Job Description
About DXC Bulgaria
We are DXC – a Fortune 500 global IT services leader.

In Bulgaria, we are among the largest IT employers, delivering the full spectrum of the company’s diverse technical portfolio. Our teams work across cutting-edge technologies, contributing to projects that span industries and geographies. We foster continuous learning and professional growth, offering access to targeted training and certifications aligned with individual interests and career aspirations. Our culture of collaboration, innovation, and shared values empowers professionals to grow and succeed.

About The Role
The role involves providing expert-level support in cloud operations and IT service management while ensuring high-quality incident and problem management practices. The position requires maintaining strong communication standards, adhering to operational guidelines, and driving continuous improvement across all processes. The perfect candidate must demonstrate professionalism, innovation, and technical capability to operate in complex IT environments.

Daily challenges

• Delivering practical expertise in Cloud operations, ensuring stable and efficient service performance.
• Managing incidents and coordinating timely resolution across multiple teams.
• Conducting problem management activities to identify root causes and prevent recurring issues.
• Applying ITIL4 practices and adhering strictly to established service management guidelines.
• Maintaining organization and composure under pressure while troubleshooting complex issues.
• Proactively contributing innovative ideas and supporting continuous improvement initiatives.
• Work on a shift in 24/7 coverage rotation (2-day shifts, 2-night shifts, 4 days off)

EXperience And Skills Required

• 3+ years of hands-on experience with cloud environments
• ITIL4 certification and relevant hyperscale, Kubernetes, or Linux certifications.
• Proven practical experience in Cloud operations, Incident Management, and Problem Management.
• Strong troubleshooting capabilities and the ability to remain calm and structured during critical situations.
• Ability to follow instructions and operational guidelines with high attention to detail.
• Experience working in structured environments with staffing processes, onboarding, and quality assurance controls.
• Excellent English communication skills.

Company Benefits
At DXC Technology, we don’t just offer jobs - we build careers. Here’s what you can look forward to when you join us:

• Enjoy competitive compensation and grow your career in a fast-paced, international environment.
• Benefit from 24 days of paid vacation to rest, explore, and recharge - plus comprehensive medical and life insurance, and monthly food vouchers to support your lifestyle.
• Access premium learning platforms, get company-sponsored certifications, and grow your skills with continuous development opportunities tailored to you.
• Get recognized through our Employee Recognition Program - your contributions deserve the spotlight.
• Refer great talent through our Employee Referral Program and get rewarded for helping shape our future.
• Enjoy discounts and special offers with your employee badge - it pays to be part of the team.
• Access 24/7 support for you and your family, with a wide range of wellbeing resources to help you thrive.
• Join meaningful initiatives that give back to the community and connect you with like-minded colleagues through fun and impactful experiences.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

If you feel comfortable with the above-mentioned requirements, please send us your CV in English. Please note only shortlisted candidates will be contacted.

DXC Technology stands for equal opportunities, namely, we do not discriminate on the basis of race, religion, color, sex, age, disability, or sexual orientation.  All recruitment decisions are based solely on qualifications, skills, knowledge and experience, and relevant business requirements.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available
here
.