<h2>Who will love this job</h2><ol><li data-list="bullet">An adaptable contributor – you adjust quickly to changing needs and stay effective in dynamic environments</li><li data-list="bullet">A pragmatic architect – you evaluate trade-offs between performance, relevance, maintainability, and cost, choosing patterns that simplify complexity for the long term</li><li data-list="bullet">A problem solver – you think about the bigger picture, connect the dots, and efficiently resolve technical and product challenges</li><li data-list="bullet">An excellent communicator – you explain technical processes clearly, including to non-engineers, and work well with Product, Design, Data, and Applied ML partners</li><li data-list="bullet">A search and matching builder – you enjoy turning complex retrieval and ranking problems into intuitive, trustworthy product experiences</li></ol><h2>What you’ll do</h2><ol><li data-list="bullet">Collaborate with Product Managers and Designers to define requirements and build product experiences from conception through delivery</li><li data-list="bullet">Build and improve full-stack experiences for Talent Matching, Talent Rediscovery, and related talent discovery workflows</li><li data-list="bullet">Design and ship search-backed capabilities using OpenSearch or Elasticsearch, including indexing, query design, relevance tuning, ranking, and semantic retrieval</li><li data-list="bullet">Develop matching systems that combine keyword, structured, semantic, and AI/ML signals to improve match quality</li><li data-list="bullet">Partner with Applied ML and cross-functional engineering teams to evaluate trade-offs across relevance, latency, reliability, infrastructure cost, and user trust</li><li data-list="bullet">Build evaluation, observability, testing, and feedback mechanisms to continuously improve matching quality</li><li data-list="bullet">Develop clean, efficient, maintainable, and scalable production code for core services</li><li data-list="bullet">Contribute to code reviews and engineering practices</li><li data-list="bullet">Additional projects as needed within the scope of the engagement</li></ol><h2>You should have</h2><ol><li data-list="bullet">5+ years of experience writing production code</li><li data-list="bullet">Experience with Ruby, C#, Java, or Python; Ruby on Rails preferred</li><li data-list="bullet">Strong JavaScript or TypeScript fundamentals, including React</li><li data-list="bullet">Full-stack experience across backend systems, APIs, data modeling, and modern frontend development</li><li data-list="bullet">Deep experience with OpenSearch or Elasticsearch in production, including indexing, query design, relevance tuning, and performance trade-offs</li><li data-list="bullet">Experience building search, ranking, recommendation, or matching systems</li><li data-list="bullet">Practical experience applying AI or ML techniques in production, such as embeddings, semantic search, classification, or ranking</li><li data-list="bullet">Experience collaborating with Product and Design in ambiguous, user-facing problem spaces</li><li data-list="bullet">Experience with analytical databases, a plus</li><li data-list="bullet">Your own unique talents! Your background has given you a unique perspective and set of transferable skills that aren't always in alignment with a given role - but those are qualities we value here. If you don't meet 100% of the qualifications outlined above, we still strongly encourage you to apply</li></ol>

HR Screening

Coderpad interview 

Hiring Manager Interview

60 minute Code Review | 60 minute System Design | 60 minute AI Coding Interview

Panel Interview

Build impactful talent discovery experiences as a Software Engineer, shaping full-stack search and matching products from concept to delivery. Collaborate with Product, Design, Data, and ML teams to create intuitive, trustworthy solutions that continuously improve how people and opportunities connect.

Software Engineer 

About the RoleWe are looking for a strong, senior developer to help lead an AI-forward modernization of our software. We are moving existing applications onto modern web applications and platforms. We want smartpeople who take ownership, work independently, and thrive using AI while keeping strong fundamentals. Who You Are• A strong full stack developer who is comfortable building both user interfaces and back-end services.• AI-first: you use AI coding tools every day to design, build, test and ship, and you know when to trust the output and when not to.• A fast learner who is happy to dig into unfamiliar legacy code and pick up new platforms.• An owner who writes high-quality, supportable code and sees work through to production.• A clear communicator who enjoys working directly with business users and other engineers. What You'll Do• Build and maintain modern web applications, APIs and integrations.• Lead the migration from legacy systems to new platforms: rebuilding features, migrating data and supporting cutover.• Learn and work with platforms such as Zoho as part of the new stack. No prior experience is needed.• Turn business requirements into reliable, intuitive features.• Support users in production and keep improving the systems. Required• 5+ years of professional software development across front end and back end.• Strong Python (Django a plus) and JavaScript/TypeScript with a modern framework (React, Angular or Vue).• Solid SQL, ideally Microsoft SQL Server.• Experience building RESTful APIs, using Git and working in an Agile team. Preferred• Experience with Delphi, FoxPro or Zoho.• Legacy migration experience.• Experience with Azure, Docker and CI/CD.

Screening with CTO

Tech interview

Lead the modernization of legacy systems by building reliable, user-focused full-stack web applications. Collaborate with product and technical teams while mentoring developers and delivering impactful solutions with modern technologies.

Senior Full Stack Developer

About the roleWe are a technology-driven company in the logistics space, trusted by some of the world’s largest shippers to audit freight and parcel invoices and to optimize logistics contracts. We help shippers and carriers navigate the complexities of modern supply chains with precision, efficiency, and confidence. We are looking for a detail-oriented Operations Engineer with strong, hands-on data and SQL experience to join our IT Operations team. The team supports business needs across application and infrastructure support, data support, access and security, software deployments, alerting, monitoring, and escalations, as well as our support ticketing system for internal and external requests. In this role, you will be the team's data specialist: investigating data issues directly in our MSSQL databases, tracing problems through our data pipelines and data warehouse, supporting Tableau (or similar) reporting, and working with engineering and business teams to resolve issues and prevent them from recurring. What You'll Do● Participating in the IT Operations team's shared responsibilities, including application and infrastructure support, access and security requests, software deployments, alerting and monitoring, and escalations.● Investigating reported data issues by writing and running SQL queries, primarily in MSSQL, to identify missing, duplicate, incorrect, or inconsistent data.● Tracing data through ingestion, transformation, and loading steps and into the data warehouse to pinpoint where in the pipeline an issue is introduced.● Supporting Tableau (or similar) dashboards and data sources, troubleshooting refresh failures, data discrepancies, and performance issues.● Monitoring data pipelines and scheduled jobs (e.g., Airflow, SQL Agent, Azure Data Factory), responding to failures and delays.● Performing root cause analysis on data incidents and clearly documenting the cause, impact, and fix.● Correcting data issues safely and in a controlled way, following change management and data integrity practices.● Applying and promoting SQL and data best practices, including query optimization, performance troubleshooting of database workloads, and consistent use of data query tools.● Working tickets in our support ticketing system, for both internal and external requests, keeping stakeholders informed through resolution.● Collaborating with data engineers, software engineers, analysts, and client-facing teams to reproduce issues, communicate impact, and verify resolutions.● Developing and maintaining scripts, queries, and runbooks for recurring investigations, using AI tools where they speed up analysis. Required● Advanced, hands-on SQL skills, including complex joins, CTEs, window functions, aggregations, and query performance tuning for investigation and reconciliation.● Strong experience with Microsoft SQL Server (MSSQL).● Solid understanding of data warehousing concepts, including dimensional modeling, fact and dimension tables, and slowly changing dimensions.● Hands-on experience with Tableau (or similar BI tools), including data sources, extracts, and troubleshooting dashboards.● Proficiency with data query tools such as SQL Server Management Studio (SSMS) or Azure Data Studio.● Understanding of data pipelines and ETL/ELT concepts, and experience troubleshooting them end to end.● Familiarity with workflow orchestration and integration tools (e.g., Airflow, Azure Data Factory, SSIS).● Proficiency in Python or PowerShell for data analysis and automation.● Familiarity with ticketing and ITSM workflows (e.g., Jira Service Management) and on-call or escalation processes.● Analytical mindset with a methodical approach to isolating problems.● Strong attention to detail and a commitment to data accuracy.● Excellent communication skills, including the ability to explain data issues to non-technical stakeholders.● Comfortable using AI-assisted tools as part of your daily workflow.● Comfortable working in a remote environment and collaborating with people across different teams, areas, and ways of working. Preferred● Experience with PostgreSQL.● Experience with Azure data services.● Experience with freight, parcel, invoice, or other high-volume transactional data.● A degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience.

Join a remote IT Operations team as an Operations Engineer focused on investigating data issues, supporting reporting and pipelines, and ensuring accurate, reliable information. Collaborate across technical and business teams to solve problems, improve processes, and keep operations running smoothly.

Operations Engineer (Data Operations)

<h1>Junior Growth - In-App</h1>We're looking for a Junior Growth professional to join the In-App team and work hands-on across the full campaign lifecycle, from launching and optimizing campaigns to validating results and protecting traffic quality. You'll work closely with senior team members on client accounts, manage day-to-day communication with media partners, and learn how performance, tracking, and fraud prevention fit together in a performance agency.<h2>What you'll do:</h2><ol><li data-list="bullet">Monitor UA and RT campaigns daily and flag changes in key metrics (CPA, CPI, CVR, ROAS, retention).</li><li data-list="bullet">Analyze performance by media source, GEO, campaign, and creative, and suggest optimizations to the team.</li><li data-list="bullet">Pull and review data in MMPs like AppsFlyer and Adjust, and help investigate discrepancies between MMP, partner, and client numbers.</li><li data-list="bullet">Learn to spot suspicious traffic patterns and support the team on traffic quality and fraud checks.</li><li data-list="bullet">Be a day-to-day contact for media partners on performance, tracking, and optimization requests.</li><li data-list="bullet">Help with tracking setup and testing when onboarding new media sources.</li><li data-list="bullet">Support monthly conversion validation and prepare regular performance reports.</li></ol><h2> </h2><h2>What we are looking for:</h2><ol><li data-list="bullet">1+ year of experience in Growth, Performance Marketing, User Acquisition, or Digital Marketing, ideally in mobile apps or at an agency or ad network.</li><li data-list="bullet">Basic knowledge of In-App UA and Retargeting, and how CPI/CPA models work.</li><li data-list="bullet">Experience or familiarity with MMPs, preferably AppsFlyer or Adjust.</li><li data-list="bullet">Strong analytical skills and solid Excel / Google Sheets (pivot tables, lookups, large raw data files).</li><li data-list="bullet">Clear understanding of performance marketing KPIs and how they connect to business results.</li><li data-list="bullet">Good written and spoken English for daily partner and client communication. Spanish is a strong plus, given our LATAM focus.</li><li data-list="bullet">A proactive, curious, detail-oriented mindset: you notice when numbers don't add up and dig until you know why.</li></ol> <h2>What we offer:</h2><ol><li data-list="bullet">Grow to Growth Manager within 12 months, based on results, with a personal growth plan.</li><li data-list="bullet">Learn a lot, fast, from a manager with deep field experience: optimization, attribution, fraud, partners, and how performance turns into revenue.</li><li data-list="bullet">Ownership from week one. Your own partners, analyses and ideas. Take action. Mistakes are fine, as long as you learn from them.</li><li data-list="bullet">Real budgets and big brands across fintech, e-commerce, mobility, and more.</li><li data-list="bullet">Flat hierarchy, small team that has your back: fast feedback, open doors, and close collaboration with the founders.</li><li data-list="bullet">Wellbeing support from our external psychologist, who also helps shape your growth plan.</li><li data-list="bullet">Fully remote, flexible hours. Doctor’s appointment at noon? Set yourself out of office, no day off needed. Plus your local bank holidays off, wherever you’re based.</li><li data-list="bullet">An international team, with daily exposure to different markets and languages.</li></ol>

Check 1–2 professional references if possible.

References

Check App Growth knowledge, experience, problem-solving, reasoning, and ability to learn.

Technical Interview + Live Case

Focus on communication, ownership, feedback, motivation, teamwork, priorities, and working under pressure.

Behavioral Interview

Discuss expectations, autonomy, startup working style, communication, growth plans, and make sure the role is clear.

Final Interview

Junior Growth professional supporting the management and optimization of in-app user acquisition and retargeting campaigns across media sources and geographies. The role focuses on campaign analysis, KPI monitoring, attribution, optimization, reporting, and communication with media partners. Requires at least one year of relevant experience, analytical skills, and strong Excel or Google Sheets proficiency.

Junior Growth - In-App

<h1>Position Summary</h1> The IT Lead is responsible for the strategy, security, operations, and day-to-day management of a global technology environment. Reporting to the Chief Financial Officer, this individual serves as the senior technology leader, overseeing infrastructure, cybersecurity, enterprise applications, identity management, end-user computing, vendor relationships, business continuity, and regulatory technology.This is an individual contributor role with no direct reports. Leadership is exercised through technical ownership, cross-functional influence, and management of external vendors and managed service providers rather than through people management.This is a highly visible, hands-on leadership role that balances strategic planning with direct technical execution. The successful candidate will provide white-glove support to investment professionals, executives, and operational teams across multiple international offices. The role partners with compliance, finance, investor relations, legal, and external managed service providers to enable business objectives while maintaining strong security and regulatory compliance.<h2> </h2><h2>Primary Responsibilities</h2><h3>Technology Leadership</h3><ol><li data-list="bullet">Own the IT strategy end to end and act as the primary technology advisor to executive leadership.</li><li data-list="bullet">Drive continuous improvement across infrastructure, cybersecurity, automation, AI enablement, and operational efficiency.</li><li data-list="bullet">Evaluate emerging technologies and recommend solutions that improve productivity, security, and scalability.</li><li data-list="bullet">Establish IT policies, standards, and documentation.</li><li data-list="bullet">Manage third-party vendor relationships, including selection, contract negotiation, and budget oversight.</li></ol><h3>Infrastructure &amp; Enterprise Technology</h3><ol><li data-list="bullet">Own the global technology infrastructure.</li><li data-list="bullet">Manage, monitor, and update the end-user experience using Microsoft, Google, Cisco, Fortinet, and Intune products, as well as SaaS products and business applications.</li><li data-list="bullet">Ensure systems remain highly available, secure, and appropriately documented.</li></ol><h3>Cybersecurity &amp; Risk Management</h3><ol><li data-list="bullet">Lead the comprehensive cybersecurity program.</li><li data-list="bullet">Evaluate, manage, and monitor endpoint protection, email security, DLP, vulnerability management, penetration testing, security awareness training, and security monitoring capabilities.</li><li data-list="bullet">Partner with external security providers and internal leadership to strengthen the security posture.</li></ol><h3>Regulatory &amp; Compliance Technology</h3><ol><li data-list="bullet">Support regulatory obligations in partnership with the Chief Compliance Officer.</li><li data-list="bullet">Monitor SEC requirements, archiving, communications surveillance, disaster recovery, business continuity planning, and vendor risk assessments.</li><li data-list="bullet">Support international privacy and data governance requirements across global offices.</li></ol><h3>End User Computing &amp; Executive Support</h3><ol><li data-list="bullet">Deliver exceptional technology support to employees across all locations.</li><li data-list="bullet">Provide executive-level technical support, hardware and software procurement, provisioning, and troubleshooting.</li><li data-list="bullet">Maintain a highly responsive, service-oriented approach emphasizing professionalism, discretion, and responsiveness.</li></ol><h3>AI Platform &amp; Automation</h3><ol><li data-list="bullet">Help develop Riverwood's internal AI platform by building new modules and capabilities that improve productivity and automate business processes. Provide ongoing support to users, gather feedback, troubleshoot issues, and continuously enhance the platform to meet the firm's evolving needs.</li></ol> <h2>Qualifications</h2><h3> </h3><h3>Required</h3><ol><li data-list="bullet">5+ years of progressive IT experience, including leadership responsibility.</li><li data-list="bullet">Experience managing enterprise Microsoft 365 environments, including Entra ID, Intune, Exchange Online, and Conditional Access.</li><li data-list="bullet">Strong knowledge of enterprise networking, firewalls, endpoint management, and cloud infrastructure.</li><li data-list="bullet">Deep understanding of cybersecurity principles, Zero Trust architecture, identity management, and endpoint protection.</li><li data-list="bullet">Experience managing managed service providers and technology vendors.</li><li data-list="bullet">Ability to support executive leadership in a high-touch, service-oriented environment.</li><li data-list="bullet">Experience supporting geographically distributed organizations.</li><li data-list="bullet">Excellent written and verbal communication skills.</li><li data-list="bullet">Strong project management and organizational abilities.</li><li data-list="bullet">Ability to prioritize multiple initiatives while maintaining exceptional customer service.</li></ol><h3> </h3><h3>Preferred</h3><ol><li data-list="bullet">Experience in private equity, venture capital, investment management, hedge funds, or financial services.</li><li data-list="bullet">Experience supporting SEC-regulated organizations.</li><li data-list="bullet">Familiarity with Drawbridge, LeapXpert, Smarsh, Theta Lake, ThreatLocker, Druva, Cyberhaven, Abnormal AI, and similar enterprise platforms.</li><li data-list="bullet">Experience supporting international offices.</li><li data-list="bullet">Knowledge of Snowflake administration and cloud data platforms.</li><li data-list="bullet">Security certifications such as CISSP, Security+, Microsoft Security, Azure Administrator, or equivalent (Nice to Have)</li></ol><h2> </h2><h2>Success in This Role</h2><ol><li data-list="bullet">Provide exceptional white-glove technology support to all employees.</li><li data-list="bullet">Maintain a secure, resilient, and well-managed technology environment.</li><li data-list="bullet">Build trusted relationships with investment professionals and executive leadership.</li><li data-list="bullet">Identify opportunities to improve productivity, security, and operational efficiency.</li><li data-list="bullet">Effectively manage external vendors while maintaining strategic ownership of the technology environment.</li><li data-list="bullet">Ensure readiness for regulatory examinations, cybersecurity events, and continued global growth.</li></ol> Hybrid role (offices in Las Cañitas) - Full time

Technical interview with Data Manager

Interview with Mauricio, head of the Buenos Aires office.

Interview with the US Tech Team

Final interview with the CFO

Lead the global IT strategy, infrastructure, cybersecurity, enterprise applications, identity management, and end-user support environment.Provide hands-on leadership, executive support, vendor management, regulatory technology oversight, and operational improvement. Requires 10+ years of progressive IT experience and strong Microsoft 365, networking, cloud, cybersecurity, and identity management expertise. Experience in private equity, financial services, SEC-regulated organizations, or international offices is preferred.

IT Lead (Security Engineer)

<h2>What You’ll Do</h2><ol><li data-list="bullet">Own the build for taking a validated prototype to production — architecture, data model, ingestion design, storage, and integrations.</li><li data-list="bullet">Build ingestion that survives real-world data: deeply nested export structures (recent single collections have exceeded a million folders), multiple export formats, schema variability, and structural anomalies that must be flagged rather than silently skipped.</li><li data-list="bullet">Design for volume as a first-class requirement: multi-terabyte collections and tens of millions of records processed without manual splitting, using streaming, chunking, and containerized horizontal scaling.</li><li data-list="bullet">Model conversation data properly — messages, edits, deletions, replies, reactions, attachments, and time-based participant membership — with stable identifiers and relational links that hold up when a later export rewrites historical records.</li><li data-list="bullet">Make correctness observable: deterministic quality gates in code, run-level audit trails capturing which build and which settings produced an output, completeness reporting, and explicit reason codes for anything missing. Automated checks are the product, not an afterthought.</li><li data-list="bullet">Establish engineering foundations: CI/CD, automated testing, observability, coding standards, and security posture on our internal development platform.</li><li data-list="bullet">Build the self-serve application with the Designer so a processing team — not a single expert — can run jobs, monitor progress, and produce reports in minutes rather than a week.</li><li data-list="bullet">Work day-to-day with the Product Manager to sequence work, scope complexity, and surface trade-offs, balancing near-term delivery against the platform this becomes. You will be in the room for scoping decisions, not handed a spec.</li><li data-list="bullet">Absorb and document institutional knowledge from the legacy tool and its author, then retire it via a validated, defensible cutover.</li><li data-list="bullet">Set the technical bar for engineers who join later as the platform expands to additional data types.</li></ol> <h2>What We’re Looking For</h2>Required<ol><li data-list="bullet">7+ years of software engineering experience, with substantial time building data-intensive systems in production.</li><li data-list="bullet">Demonstrated experience designing large-scale data ingestion and processing pipelines — throughput, memory, and parallelism under real constraints; schema variability; deduplication; transformation at scale. You have personally debugged a pipeline that fell over on volume and fixed the design, not just the symptom.</li><li data-list="bullet">Experience in a domain where provenance and reproducibility are the deliverable — regulated, audited, forensic, financial- reconciliation, clinical, or compliance data. You treat “we can’t explain why these two runs differ” as a defect of the same severity as a crash.</li><li data-list="bullet">End-to-end ownership of at least one system you built from scratch, including the early architectural decisions that defined it for years.</li><li data-list="bullet">Strong command of modern application and cloud architecture — you can design and implement a scalable service, including infrastructure, APIs, data stores, and the interface practitioners actually use.</li><li data-list="bullet">Comfort working closely with product and design. You can hold your own on scope and sequencing, translate technical constraints into terms a PM can decide on, and partner with a designer on an interface rather than bolting one on at the end.</li><li data-list="bullet">Fluency with modern AI-assisted development. You use these tools daily to move faster, and you have clear judgment about where they belong and where they don’t — our quality gates are deterministic by design.</li><li data-list="bullet">Startup mindset: comfortable with ambiguity, pragmatic about trade-offs, and able to make decisions that balance speed against long-term soundness.</li></ol>Strongly Preferred<ol><li data-list="bullet">Experience with messaging, chat, or communications data — Slack, Teams, mobile message extractions, or similar. Conversation threading, participant attribution, and attachment resolution are harder than they look.</li><li data-list="bullet">Experience replacing a legacy system while it remains in production, including parity validation against the tool being retired.</li><li data-list="bullet">Background in legal technology, eDiscovery, investigations, or compliance tooling — genuinely useful context, but something a strong engineer can learn here. We are more interested in how you think about completeness than in whether you already know our vocabulary.</li><li data-list="bullet">Experience building integrations with third-party platforms via API, particularly where you do not control the target system’s</li><li data-list="bullet">data model.</li><li data-list="bullet">Experience introducing modern engineering practices (CI/CD, automated testing, observability) in an organization new to formal software development.</li><li data-list="bullet">Experience working alongside a professional services or consulting delivery team, where your users are practitioners under deadline pressure on high-stakes matters.</li></ol>Nice to Have<ol><li data-list="bullet">Experience with search and query layers over large datasets (Elasticsearch, Splunk, or similar), including saved and reusable query conditions.</li><li data-list="bullet">Experience designing modular, plug-in architectures where new data sources can be added without destabilizing existing ones.</li><li data-list="bullet">Familiarity with entity resolution or identity normalization across inconsistent identifiers — usernames, phone numbers, aliases, email addresses.</li><li data-list="bullet">Exposure to chain-of-custody and data security requirements in litigation or investigations contexts.</li><li data-list="bullet">Experience with incremental and delta processing — recomputing only what changed when a dataset is re-delivered or a request expands.</li></ol>

Tech fit interview

Interview with final client

Interview  with final client

Lead the transformation of a validated prototype into a scalable, production-ready platform for processing complex messaging data. This is an opportunity to shape the architecture, engineering practices, and self-serve experience of a high-impact product from the ground up.

Senior Software Engineer, Short- Message Data Processing

<h1>Job Description</h1>The Investor Enablement team is seeking a skilled and experienced Senior Python Engineer. As part of a firmwide initiative to modernize investment technology platforms and data solutions, this role designs, develops, and supports enterprise-grade Python applications that enable investment, operations, and technology teams across the organization.<h2>Key Responsibilities</h2><h3>Solution Development</h3><ol><li data-list="bullet">Design, develop, and implement scalable Python-based applications and services.</li><li data-list="bullet">Build high-performance, multi-threaded and multi-process applications.</li><li data-list="bullet">Develop and maintain RESTful APIs and integration services.</li><li data-list="bullet">Create analytical and reporting solutions using Streamlit, Plotly, Bokeh, and Matplotlib.</li><li data-list="bullet">Integrate applications with cloud services and enterprise systems.</li><li data-list="bullet">Collaborate with stakeholders to translate business requirements into technical solutions.</li></ol><h3>Data Engineering &amp; Analytics</h3><ol><li data-list="bullet">Design and optimize data models and database structures.</li><li data-list="bullet">Design and implement data ingestion, transformation, and distribution pipelines.</li><li data-list="bullet">Process and analyze large datasets using Pandas and NumPy</li><li data-list="bullet">Build monitoring and data quality controls.</li><li data-list="bullet">Support analytical and quantitative initiatives.</li></ol><h3>Maintenance and Support</h3><ol><li data-list="bullet">Monitor and maintain production applications.</li><li data-list="bullet">Troubleshoot application, integration, and data issues.</li><li data-list="bullet">Implement performance tuning and optimization.</li><li data-list="bullet">Participate in incident response and continuous improvement.</li></ol><h3>SDLC</h3><ol><li data-list="bullet">Participate in Agile/Scrum ceremonies and Jira tracking.</li><li data-list="bullet">Collaborate with business analysts, project managers, and developers.</li><li data-list="bullet">Develop automated testing and deployment pipelines.</li><li data-list="bullet">Create and maintain technical documentation.</li></ol><h2> </h2><h2>Qualifications</h2><h3>Education</h3>Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, Physics, or a related discipline.<h3>Experience</h3><ol><li data-list="bullet">5+ years of professional software development experience with Python.</li><li data-list="bullet">Experience designing enterprise-grade Python applications.</li><li data-list="bullet">Experience building APIs, data processing solutions, and integration services.</li><li data-list="bullet">Experience working within Agile delivery teams.</li></ol><h3> </h3><h3>Required Skills</h3><ol><li data-list="bullet">Python 3.10+ with strong object-oriented programming and design patterns experience.</li><li data-list="bullet">Multi-threaded and multi-process application development.</li><li data-list="bullet">Pandas and NumPy.</li><li data-list="bullet">Matplotlib, Plotly, Bokeh, and/or Streamlit.</li><li data-list="bullet">Strong SQL skills with PostgreSQL, Microsoft SQL Server, and Snowflake.</li><li data-list="bullet">Familiarity with NoSQL databases.</li><li data-list="bullet">Building and consuming RESTful APIs.</li><li data-list="bullet">FastAPI.</li><li data-list="bullet">Swagger/OpenAPI and Postman.</li><li data-list="bullet">AWS familiarity, including ECS Tasks, EC2, Lambda, IAM roles, and monitoring.</li><li data-list="bullet">CI/CD tools such as Jenkins.</li><li data-list="bullet">Testing frameworks including pytest.</li><li data-list="bullet">Git and collaborative development workflows.</li></ol><h3> </h3><h3>Preferred Experience</h3><ol><li data-list="bullet">Quantitative finance concepts, including risk metrics, performance attribution, and valuation models.</li><li data-list="bullet">Building ETL pipelines for market and reference data.</li><li data-list="bullet">Docker and Kubernetes.</li><li data-list="bullet">Integration with Microsoft Power Platform, Power BI, or Dataverse.</li></ol><h3> </h3><h3>Soft Skills</h3><ol><li data-list="bullet">Excellent analytical and problem-solving skills.</li><li data-list="bullet">Strong communication and collaboration skills.</li><li data-list="bullet">Ability to work independently and manage multiple priorities.</li><li data-list="bullet">Strong attention to detail and commitment to quality.</li></ol>

Senior Python Engineer responsible for designing, developing, and supporting enterprise-grade applications and services. Work includes RESTful APIs, data engineering, analytics, cloud integrations, testing, and deployment automation. Requires 5+ years of professional Python software development experience. Experience with AWS, SQL databases, FastAPI, CI/CD, testing, and Git is required; quantitative finance and containerization are preferred.

Senior Python Engineer

En Webstarted conectamos startups de alto crecimiento con talento tech de LATAM. Somos un equipo chico, dinámico y muy orientado a resultados, donde cada persona tiene impacto real desde el día uno.Estamos buscando un/a Practicante Recruiter IT para sumarse al equipo de reclutamiento. Si estás dando tus primeros pasos en el mundo del recruiting y te interesa especializarte en perfiles tecnológicos, esta es tu oportunidad. ¿Qué vas a hacer? Recruiting &amp; Sourcing<ol><li data-list="bullet">Búsqueda activa de perfiles IT en LinkedIn, portales de empleo, comunidades tech y otras fuentes relevantes.</li><li data-list="bullet">Armado y gestión de pipelines de candidatos para posiciones activas.</li><li data-list="bullet">Primer contacto y calificación de candidatos (outreach, mensajes de acercamiento, seguimiento).</li><li data-list="bullet">Realización de entrevistas tanto en español como en inglés (candidatos de Brasil) para evaluar fit técnico básico y cultural.</li><li data-list="bullet">Publicación de búsquedas en comunidades, grupos y plataformas especializadas.</li><li data-list="bullet">Carga y actualización de información en nuestro ATS.</li></ol> Soporte administrativo y documentación<ol><li data-list="bullet">Organización y actualización de documentos internos del área de reclutamiento.</li><li data-list="bullet">Apoyo en tareas de back office y gestión de procesos internos.</li><li data-list="bullet">Asistencia en la coordinación de entrevistas y comunicación con candidatos.</li></ol> ¿Qué buscamos?<ol><li data-list="bullet">Buenas habilidades de comunicación escrita y oral</li><li data-list="bullet">Actitud proactiva y capacidad para gestionar varias tareas en paralelo.</li><li data-list="bullet">Estudios en curso o recién finalizados en RRHH, Psicología, Comunicación, Administración o carreras afines.</li><li data-list="bullet">Interés genuino en el recruiting IT y el mundo de la tecnología.</li><li data-list="bullet">Inglés avanzado (excluyente) ya que va a realizar entrevistas en inglés.</li><li data-list="bullet">Manejo básico de Google Workspace y herramientas de AI</li><li data-list="bullet">Se priorizarán candidatos con al menos 1 año de experiencia previa en reclutamiento de perfiles IT.</li></ol> ¿Qué ofrecemos?<ol><li data-list="bullet">Trabajo part-time (6 hs) compatible con estudios - 100% remoto</li><li data-list="bullet">Exposición real a procesos de recruiting IT desde el primer día.</li><li data-list="bullet">Aprendizaje directo con un equipo especializado en talento tech de LATAM.</li><li data-list="bullet">Posibilidad de crecimiento dentro del equipo.</li></ol>

Join our talent network