The Software Engineering Team Lead guides a small team building software for data science and AI products. This is a hands-on role combining team development and technical leadership with daily coding, design, and code reviews.
Compensation
The salary range for this role starts at $150,000 per year.
Responsibilities
Coach and develop the team, plan workloads, and support career growth
Guide projects from requirements and design through development, testing, deployment, and maintenance
Set engineering standards for code quality, security, testing, documentation, and production support
Contribute directly through coding, technical design, code reviews, and problem solving
Build and support applications, APIs, data workflows, and AI or machine learning services using Python, R, SQL, and related tools
Requirements
degree in computer science, software engineering, data science, or a related field, or equivalent experience
Senior Enterprise Security Engineer responsible for maintaining and raising the security posture across infrastructure and end-user SaaS applications and endpoints, designing and implementing enterprise security solutions, and reducing toil through automation.
Take the EDL vision and high architecture as defined, turn it into concrete low-level designs, work packages, explain and hand them to the engineering team, and work with the project managers to deliver on phase deadlines. Hands on ~ 50%, deep enough to review, unblock and set the technical bar. Owns outcomes end to end, finds and fixes problems, and multiplies that reach with AI native way of working.
Compensation
A Competitive pay, the salary range for the role is $135,000 - $145,000.
Responsibilities
Translate vision into design. Take the architectural direction and produce implementable designs, strategize and translate to tasks. Keep the vision and high-level design intact through delivery without redefining the vision or reducing the scope.
Build with AI every day using Claude Code, Codex or similar. Write the markdown specs, skills and context files that make coding effective, and review what they produce to a production standard.
Stay hands on with the Data Lakehouse foundation. Python, PySpark, Delta Lake and medallion design on AIDP (OCI).
Design data products and semantic structures. Blueprints covering scope, canonical entities, certified metrics, quality rules, lineage, access and publication criteria.
Set standards for keys, naming conventions, configuration, reference data and metadata, and keep them aligned to the business glossary.
Design and deliver the data pipelines and platforms that drive clients' decision-making, working directly with them to turn business questions into production-ready systems on Google Cloud.
Responsibilities
Design, build and operate scalable data pipelines, data models and end-to-end solution architectures on GCP (BigQuery, Python, dbt, Airflow, Dataform)
Own technical delivery on projects and accounts, from scoping to production
Own the quality of what is delivered, with rigorous validation, automated testing, observability and data-quality controls built into production pipelines
Use agentic coding tools such as Claude Code or Codex to build faster and improve testing
Work with clients, consulting and data science teams to clarify requirements, challenge assumptions and turn business needs into pragmatic designs
Entwickelt skalierbare, cloud-native Backend-Systeme und Microservices in Java/Kotlin, betreut Kubernetes-Umgebungen, automatisiert Deployments, sorgt für hohe Codequalität und führt technische Teams.
Locations (3)
Zagreb, Zagreb, Croatia
Varaždin, Varaždin County, Croatia
Osijek, County of Osijek-Baranja, Croatia
Compensation
Flexibilität & attraktives Gehalt: Bringe dein Leben mit flexiblen Arbeitszeiten, Hybrid-/Remote-Optionen und einem wettbewerbsfähigen, auf deine Erfahrung zugeschnittenen Gehaltspaket in Einklang.
Responsibilities
Konzipieren und Entwickeln skalierbarer, cloud‑native Backend‑Systeme und Microservices mit Java und Kotlin
Betreuen von Kubernetes‑Umgebungen und Automatisieren von Deployments nach GitOps‑Prinzipien mit Helm und ArgoCD
Sicherstellen hoher Codequalität auf Basis von Clean Code, Clean Architecture und Harness Engineering
As a Senior Software Engineer on Supply, you will build the systems that let Vibe grow, operate, and trust its inventory. You will turn publisher partnerships into live, healthy supply, and give the business and our partners the tools to manage it at scale.
Locations (2)
Paris, Île-de-France, France
New York, United States
Compensation
The base pay range for this role in Paris is €90,000 – €125,000. The base pay range for this role in New York is $140,000 – $200,000.
Responsibilities
Build and improve publisher integrations end-to-end, from onboarding a new partner to supporting new ad formats and sponsorship offers.
Implement measurement requirements with publishers and the DSP team (e.g. UID2, publisher IDs) so the bidder sees richer inventory.
Own integration health: detect broken or degraded supply before it costs us spend.
Build the services behind deal setup, catalog management, and price configuration, in partnership with DSP on the deal API.
Automate the routine work of the Supply team (new deals, stale-supply cleanup, troubleshooting) so it scales with the number of partners, and with Vibe.
Design, develop, and maintain scalable AI agents serving One Zero customers, building and integrating AI-powered capabilities, LLM-based tools, and agentic workflows into production systems.
Responsibilities
Design, develop, and maintain scalable AI agents serving One Zero customers
Build and integrate AI-powered capabilities, LLM-based tools, and agentic workflows into production systems
Apply prompt engineering techniques to develop, optimize, and improve LLM-powered features
Leverage AI coding tools throughout the software development lifecycle, from design and implementation to testing, debugging, and refactoring
Design, build and maintainable reliable and well-tested services that integrate APIs, databases, data pipelines, and cloud platforms to support scalable, secure, high-performance, data-driven AI applications
Requirements
B.Sc. in Computer Science, Software Engineering, or a related technical field
Pay Range
Salary: New York: $150,000 - $180,000 Remote: $140,000 - $170,000 Illinois: $140,000 - $170,000; California: $140,000 - $170,000
The pay range above represents the anticipated low and high end of the pay range for this position and may change in the future. Actual pay may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. The range listed is just one component of People Inc's total compensation package for employees. Other compensation may include annual bonuses, and short- and long-term incentives.
Responsibilities
Harden systems for cyber resilience including Operating Systems, Network Devices and SaaS platforms
Architect and design log management systems to collect security events across multiple log sources
Perform orchestration and automated response (SOAR)
Oversee vulnerability remediation
Provide technical leadership and oversight to security architecture activities and initiatives
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