Role Description We are looking for a skilled Python Developer to join our team, with proven experience in building reliable applications in AWS environments. The ideal candidate will also have hands-on knowledge of Infrastructure as Code and be familiar with core AWS services such as VPC, EC2, and IAM policies. Experience in cloning and deploying services efficiently will be highly valued. While the primary focus is on AWS, familiarity with Microsoft Azure is considered a plus. This role demands strong communication skills, effective teamwork, and the ability to demonstrate resilience and problem-solving under pressure. Responsibilities and Duties - Deploy & Configure AWS Cloud Services such as VPC, EC2, and IAM policies; - Infrastructure as Code (IaC) – Automate infrastructure deployment; - CI/CD Pipeline Automation – Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI/CD for automated deployments; - Observability & Monitoring – Implement monitoring, logging, and alerting solutions; - Disaster Recovery & Security – Develop automated backup strategies, define disaster recovery plans, and implement security best practices; - Workflow Automation & Integration – Build integrations to automate deployment processes, security checks, and operational workflows. Qualifications - Knowledgeable in Linux; - DevOps or Cloud Engineering experience in a production environment; - Cloud Infrastructure Expertise – Hands-on experience with AWS services (VPC, EC2, and IAM policies); - Infrastructure as Code (IaC) – Proficiency in Terraform, Ansible, and Packer for infrastructure automation; - CI/CD Pipelines & Automation – Experience setting up Jenkins, GitHub Actions, or similar tools for automated deployments; - Networking & Security – Familiarity with DNS, load balancing, IAM, firewall rules, VPNs, and cloud security best practices; - Monitoring & Observability – Experience using Datadog, CloudWatch, Prometheus, ELK Stack, or similar tools for system monitoring and alerting; - Scripting & Automation – Proficiency in Python; - Agile & DevOps Mindset – Experience working in Agile teams, advocating for DevOps best practices, and continuously improving infrastructure. Company Description Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

• Engage with stakeholders to understand their needs, discover opportunities, map vision & business requirements, and translate them into effective cloud-based solutions and services. • Identify opportunities for automation and drive continuous improvement in the deployment process. • Design and implement automation frameworks and deployment pipelines using cutting-edge tools and technologies. • Continuously evaluate and enhance deployment practices to drive efficiency and reliability. • Be autonomous and proactive; understand functional and technical requirements, identify gaps, and suggest improvements. • Promote an automate everything approach and apply DevOps best practices to ensure consistent and transparent execution. • Contribute to the development and creation of automated services. • Keeping up to date with emerging technologies, industry trends, and best practices related to deployment services and DevOps. • Travel from time to time to work on-site with the client in Switzerland (Geneva).

Job Description The Role As a Senior Ad Ops Engineer within the Marketing Applied Sciences organization, you will be responsible for architecting and developing advanced, well managed, and reusable data products that support marketing activation, analytics, and insights. You will work extensively with marketing platform data, partner data feeds, and non-standard data formats to build reliable, scalable data pipelines and storage solutions. This role requires deep hands-on experience with marketing ecosystems, digital advertising data structures, and agency or platform-side operations. You will also be responsible for implementing automated data quality and validation frameworks, including LLM-powered agents focused solely on data consistency, anomaly detection, and schema integrity. This includes integrating these validation systems directly into production pipelines to ensure accuracy, observability, and compliance across all marketing datasets. Additionally, the Senior Ad Ops Engineer will integrate with third-party marketing platforms and APIs, support data discovery across inconsistent partner datasets, and build solutions that provide clean, trustworthy data for activation, measurement, and optimization. What You’ll Do • Architect, build, and optimize data pipelines for marketing and advertising datasets, including nonstandard or semi-structured partner formats • Implement data models, storage patterns, and orchestration workflows that support campaign activation, attribution, measurement, and analytics • Build and maintain automated data quality and validation systems using LLM-based and rule-based approaches • Integrate and normalize data from marketing platforms, digital agencies, and third-party partners, ensuring performance, reliability, and consistency • Develop ingestion frameworks for log-level data, event streams, pixel files, and other marketing specific formats • Establish and maintain data governance practices including schema tracking, lineage awareness, metadata standards, and privacy compliance • Build observability into pipelines with logging, monitoring, and anomaly detection for operational stability • Collaborate with cross-functional teams to interpret marketing data requirements and translate them into scalable technical solutions Your Skills & Abilities (Required Qualifications) • Bachelor’s degree (Master’s preferred) in Computer Science, Data Engineering, Information Systems, or a related technical field • 5+ years of experience in data engineering, advertising technology engineering, or marketing data engineering • 2+ years of experience working with digital advertising, marketing analytics, digital agencies, or marketing activation platforms • Experience with marketing or ad tech ecosystems such as Yahoo, Google, Meta, The Trade Desk, Adobe, Salesforce, or similar • Proficiency in Python, SQL, and distributed data frameworks such as PySpark • Hands-on expertise working with non-standard marketing data formats, including log-level ad server files, event streams, pixel data, or partner exports • Experience with modern data platforms such as Databricks, Snowflake, Kafka, dbt, or Airflow • Experience architecting solutions in cloud environments (Azure preferred; AWS/GCP acceptable) • Strong understanding of data modeling, warehousing, governance, schema evolution, and data reliability practices • Experience building automated or agentic data quality validation systems, including LLM-driven or rules-based frameworks • Ability to translate complex marketing data needs into scalable, production-ready engineering solutions What Will Give You A Competitive Edge (Preferred Qualifications)​ • Master’s degree in Computer Science, ML Engineering, Data Engineering, Information Systems, Mathematics, or a related technical field. • Experience with real-time or streaming pipelines for marketing activation • Experience with Databricks Mosaic AI and LLMOps workflows • Familiarity with multi-touch attribution, incrementality, or identity resolution datasets • Experience processing large-scale partner or agency data deliveries • Experience working with Pseudonymous Identity services The salary range for this role is ($129,400 - $198,400). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager. The selected candidate will be required to travel <25% for this role. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

• Lead the organization through its first SOC 2 Type II audit: conduct a readiness assessment, identify control gaps, implement remediation plans, coordinate with external auditors, and deliver a clean report • Define and maintain the full set of SOC 2 policies, procedures, and technical controls across the Trust Services Criteria (security, availability, confidentiality, processing integrity, privacy) • Build and operationalize continuous compliance monitoring so that evidence collection, access reviews, and control testing become part of everyday engineering workflows rather than a one-time effort • Define and execute the longer-term strategic vision for site reliability and security across the organization • Establish and enforce SLAs, SLOs, and SLIs for critical services; drive accountability for uptime and incident response • Own the incident management lifecycle, including on-call rotations, post-incident reviews, and continuous improvement of response processes • Architect and oversee cloud infrastructure for high availability, disaster recovery, and horizontal scalability • Harden existing Infrastructure as Code pipelines with security scanning, policy-as-code guardrails, and CI/CD security gates • Evaluate and introduce monitoring, observability, and security tooling to improve detection, response, and prevention capabilities • Establish and maintain security policies, access controls, and data protection standards • Collaborate with cross-functional teams to balance reliability and security investments against feature delivery