At Cision, we build software that supports large-scale, global enterprise infrastructure. Our teams enable platform, operations, and engineering groups with tools that improve visibility, reliability, automation, and decision-making across complex systems.
We are seeking a Staff Full Stack Software Engineer to lead the design and delivery of internal platforms used by enterprise infrastructure teams. This is a senior individual contributor role for an engineer who thrives in ambiguity, works independently, and owns systems end-to-end—from architecture through production operations.
You will operate as a technical leader within the team, influencing design decisions, setting engineering standards, and delivering high-impact solutions across backend services, data pipelines, and user-facing applications.

What You’ll Do
• Architect, build, and own full-stack software platforms supporting enterprise infrastructure and operations teams.
• Lead the technical design of systems that ingest, process, analyze, and expose infrastructure and operational data at scale.
• Develop backend services and APIs for data collection, enrichment, and querying.
• Build and maintain web interfaces with advanced search, filtering, and usability tailored for technical users.
• Design and implement ETL and data processing pipelines for structured and semi-structured data sources.
• Ensure applications are fully containerized and production-ready using Docker and Kubernetes-based deployment models.
• Act as a technical authority on system design, performance, reliability, and maintainability.
• Collaborate with platform, infrastructure, security, and product stakeholders to shape solutions aligned with long-term platform strategy.
• Set and uphold engineering best practices around testing, code quality, documentation, and operational readiness.
• Review designs and code across the team, providing clear guidance and raising the overall technical bar.
• Identify systemic issues, reduce technical debt, and proactively improve platform scalability and developer experience.

What You’ll Bring
• Extensive experience as a Staff or Senior Full Stack Software Engineer working on complex, production systems.
• Proven ability to operate independently in ambiguous problem spaces and drive solutions to completion.
• Strong backend engineering experience, including API design and data-intensive services.
• Experience building data-driven applications involving ingestion, transformation, and analysis.
• Proficiency in one or more backend languages such as C#, Python, Go, or Java.
• Strong SQL skills and experience with relational databases.
• Hands-on experience with Docker and containerized application delivery.
• Solid understanding of distributed systems fundamentals and cloud-native application design.
• Experience working with CI/CD pipelines and modern software development workflows.
• Excellent technical judgment, communication skills, and ability to influence without authority.

Preferred Experience
• Experience designing and operating systems on Kubernetes.
• Familiarity with PostgreSQL, MySQL, or similar databases.
• Experience with ETL pipelines, analytics platforms, or operational data tooling.
• Exposure to cloud platforms such as GCP or AWS.
• Background building internal platforms or tools for infrastructure, SRE, DevOps, or platform engineering teams.
• Understanding of observability, cost optimization, reliability engineering, or infrastructure automation.
Education & Experience
• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• Typically 10+ years of professional software engineering experience, with demonstrated ownership of large or critical systems.

Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell® Fusion, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.

CMT is looking for a collaborative, customer-committed, and creative site reliability engineering team member who wants to join us in making roads safer by making drivers better!

Responsibilities:

• Help resolve requests from or issues raised where Site Reliability Engineering assistance is needed
• Monitor the production infrastructure using tools such as Datadog, PagerDuty, and CloudWatch Logs and help identify opportunities to improve scalability and efficiency
• Help maintain the production infrastructure, performing tasks such as updating AMIs and installing the latest security patches on a regular basis
• Perform regularly scheduled production changes such as service updates
• Help the Security Operations team to ensure that we are meeting compliance requirements (i.e. ensuring that endpoint security is deployed, etc.)
• Assist other members of the SRE team on planned project work
• Following extensive onboarding, participate in the on-call rotation as a level 1 responder and participate in incident response
• Creating and updating runbooks for repetitive tasks
• Complete any additional tasks as they arise

Qualifications:

• Bachelor’s degree or equivalent years of experience and/or certification
• 2+ years of relevant working experience in software engineering, site reliability engineering, and/or IT systems administration
• Entry to mid-level programming skills in at least one programming language, preferably Python
• Entry to mid-level knowledge and experience with AWS services
• Entry to mid-level knowledge and experience with infrastructure-as-code platforms, preferably Terraform
• Entry to mid-level knowledge and experience working with Linux operating systems (Ubuntu, Amazon Linux) and applications (i.e. NGINX, Cassandra)

Compensation and Benefits:

• Fair and competitive salary based on skills and experience
• Equity in the form of Restricted Stock Units (RSUs)
• Private healthcare
• Life insurance
• Parental leave
• Flexible scheduling and work from home policy depending on role and responsibilities

Base Salary Range

• The gross base yearly salary range for this position is: 14,311,100 to 17,888,900 HUF. This range is specifically for Budapest, Hungary. 

Additional Perks:

• Feel great working to improve road safety around the world!
• Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness
• Extensive wellness, education and employee assistance programs
• CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

Position Overview

Lead the Future of GRC (Governance Risk & Compliance) Technology!

We’re looking for a strategic technical leader with a track record of building great teams, delivering scalable systems, and transforming engineering organizations. If you thrive in complex problem spaces, love building world-class platforms, and want to play a key role in our AI-native transformation, we want to talk to you. 

Key Responsibilities

• Build high-performing, AI-enabled teams that deliver real value fast—especially within our Budapest Global Center for Product Innovation
• Lead engineering for one or more of our strategic products, driving design, delivery, and quality across multiple agile teams
• Architect for the future: Define technical strategy, system architecture, and integration of AI/ML-powered components
• Champion engineering best practices—from design and security reviews to continuous delivery and reliability
• Infuse AI into the product: Identify, prioritize, and implement opportunities for machine learning, NLP, and intelligent automation
• Be a cultural builder: Create a space for innovation, ownership, and continuous learning
• Partner across disciplines—Product, Design, Data Science—to deliver high-impact outcomes
• Ensure ethical, secure, and privacy-conscious implementation of AI and data capabilities
• Inspire through leadership: Mobilize the team in moments that matter, from solving critical customer issues to celebrating key wins
• Contribute to company-wide strategy and help shape the future of Diligent's global technology organization 

Requiered Experiences/Skills

• 7+ years of engineering leadership experience, including multiple years building SaaS products
• A strong track record of scaling products and teams, especially in fast-moving, innovative companies
• Passion for mentoring engineering leaders and building inclusive, high-performance cultures
• Deep familiarity with modern cloud-native architecture
• Experience with AI/ML platforms and integrating AI into customer-facing products
• Understanding of AI ethics, data governance, and responsible AI principles
• Proven success in leading agile delivery at scale and fostering DevOps/SRE mindsets
• Sharp business instincts, with the ability to collaborate cross-functionally and drive product strategy
• Excellent communication and influence skills at executive and organizational levels 

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