What are we looking for?

We are seeking a highly skilled and experienced Senior DevOps/Cloud Engineer/SRE with 7+ years of experience to become an integral part of our dynamic DevOps platform team. In this role, you will be instrumental in supporting cutting-edge AI SaaS and PaaS solutions.

Please note: This position may require participation in an on-call support rotation in the future.

Requirements

Technical Skills:

• Education: A Bachelor's degree in Computer Science or a related field, or equivalent education and experience equating to the US equivalent of a bachelor’s degree.
• SDLC & CI/CD: 5+ years of experience with Software Development Lifecycle (SDLC) methodologies and CI/CD technologies, including hands-on expertise with at least two different CI/CD ecosystems. Optional: We also value experience with MLOps practices and their integration into CI/CD pipelines.
• Software Engineering: 3+ years of experience as a Software Engineer, with a preference for backend development experience. Nice to have: Experience with Temporal workflows.
• Networking & Operating Systems: Strong knowledge of networking principles and robust experience with Operating System concepts, backed by 5+ years of hands-on Linux administration.
• Cloud Platforms: 5+ years of in-depth experience with AWS (highly preferred) and/or GCP. Highly desired to have certifications in AWS or GCP.
• Infrastructure as Code (IaC): 5+ years of experience with IaC tools, primarily Terraform.
• Kubernetes: 5+ years of experience managing Kubernetes clusters, including practical experience with at least one cloud-managed service (e.g., EKS, GKE, AKS).
• Database Management: Strong experience with PostgreSQL.
• Troubleshooting: Proven ability to effectively troubleshoot issues across code, cloud infrastructure, networks, and operating systems.
• AI-Specific Technologies (Preferred): Given our focus on AI solutions, experience with MLOps, Nvidia NIM and relevant Nvidia certifications would be a significant asset.

Observability: 5+ years of experience working with observability tools, and defining

Essential Non-Technical Skills:

• Requirements Elicitation: Ability to effectively gather and understand project requirements.
• Collaboration & Resilience: A highly collaborative team player with a resilient and proactive mindset.
• Organizational & Communication Skills: Self-organized with the ability to structure discussions effectively, ensuring focus and clarity.
• Documentation: Meticulous and thorough in creating clear, comprehensive documentation.
• Problem Solving: Adept at breaking down complex problems into manageable sub-tasks and defining actionable next steps.
• Language: English proficiency is mandatory.

#LI-Remote

#LI-DC1

The Role:

We are seeking a Senior Backend Engineer to maintain and enhance backend services built on TypeScript and Fastify. You will be responsible for ensuring API reliability, optimizing data layers, and collaborating closely with the frontend and DevOps teams.

Key Responsibilities:

• Design, build, and maintain backend services using TypeScript and Fastify
• Develop and optimize APIs consumed by web and mobile clients
• Manage and tune Elasticsearch for personalization and caching use cases
• Work with Redis / Valkey for key-value caching and session management
• Collaborate with DevOps to ensure services are properly containerized and deployed on GCP (Kubernetes / Cloud Run)
• Write API specifications, comprehensive tests and maintain high code quality standards
• Mentor junior backend engineers and contribute to architectural decisions

Required Skills:

• 6+ years of professional backend development experience
• Strong proficiency with TypeScript and Node.js in production environments
• Hands-on experience with Fastify or similar Node.js frameworks (Express, Hapi)
• Working knowledge of Redis or Valkey for caching and data store use cases
• Familiarity with containerized deployments on GCP, AWS or Azure.

Nice to Have:

• Experience with Sanity or other headless CMS backends
• Familiarity with event-driven architectures, SSE or message queues
• Experience with infrastructure-as-code tools (Terraform, Pulumi)
• Experience with Elasticsearch for search, personalization, or analytics

Employment Type:

The Role:

We are seeking a Senior DevOps / Platform Engineer to manage and maintain cloud infrastructure on GCP. You will ensure platform reliability, optimize CI/CD pipelines, and support the engineering team with infrastructure needs across Kubernetes and Cloud Run environments.

Key Responsibilities:

• Manage and maintain GCP infrastructure, including Kubernetes clusters and Cloud Run services
• Build and optimize CI/CD pipelines for automated testing, builds, and deployments
• Monitor platform health, set up alerting, and respond to infrastructure incidents
• Manage Elasticsearch, Redis / Valkey, and other data infrastructure components
• Implement infrastructure-as-code practices for reproducible environments
• Collaborate with development teams to ensure smooth deployment workflows
• Maintain security best practices across cloud infrastructure and access controls

Required Skills:

• 6+ years of professional DevOps, SRE, or platform engineering experience
• Strong proficiency with GCP services, particularly GKE (Kubernetes) and Cloud Run
• Hands-on experience with containerization (Docker) and orchestration (Kubernetes)
• Experience building and maintaining CI/CD pipelines (GitHub Actions, Cloud Build, or similar)
• Working knowledge of Elasticsearch cluster management and Redis / Valkey operations
• Familiarity with infrastructure-as-code tools (Terraform, Pulumi, or similar)
• Strong understanding of networking, security, and monitoring in cloud environments

Nice to Have:

• Experience with observability tools (Datadog, Prometheus, Grafana)
• Familiarity with Node.js / TypeScript application deployment patterns
• Experience with cost optimization strategies on GCP

Employment Type:

Who We Are

Build. Scale. Sustain.

PALO IT is a global technology consultancy dedicated to building digital and sustainable products and services that unlock value across the triple bottom line: people, planet, and profit. We do the right thing, and we do it right. We're proud to be a B Corp-certified company and a World Economic Forum New Champion.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, 650+ experts, 50+ nationalities)

• We are resilient and independent (0 debt, 100% privately owned)

• We are entrepreneurs and passionate experts who invest in what we believe in and work as a collective intelligence

• We are positive, courageous, caring, committed, and excellence-driven

About Gen-e2

While the market is still focused on AI-augmenting delivery, we’ve redefined the SDLC to be AI First. With our Gen-e2 framework:

• We now generate 95% of the product (code, documentation, infrastructure as code, and design) using GitHub Copilot.

• Output quality consistently exceeds that of our best traditional engineering teams.

• A centralized product repository gives AI full context of all product artifacts.

• Enterprise-grade standards and rules are embedded in prompts and code libraries.

• We deliver full products 2–3x faster, raising the bar for engineering excellence.

Your Role

As a Data Architect, you will take a leading role in designing, evolving, and optimizing data architecture for innovative, scalable, and secure solutions. You will collaborate closely with data engineers, analytics teams, business stakeholders, and IT leadership to deliver data strategies that power decision-making and digital transformation.

Key Responsibilities

Strategy & Architecture

• Define, evolve, and document the organization’s data architecture aligned with business and IT strategy.

• Design enterprise data models (conceptual, logical, and physical), establishing naming conventions and modeling standards.

• Assess and recommend data technologies (Data Lake, Lakehouse, Mesh, Warehouse) based on evolving business needs.

Governance, Privacy & Quality

• Define policies and standards for data governance, quality, privacy, cataloging, and lineage.

• Lead adoption of metadata management and data discovery tools across teams.

• Ensure compliance with internal and external data regulations and security requirements.

Data Integration & Design

• Architect data integration solutions (ETL/ELT, real-time and batch pipelines).

• Ensure interoperability across domains, sources, and consumers using principles such as Data Mesh.

• Define integration patterns and data federation frameworks to deliver a 360° data view.

Collaboration & Leadership

• Act as a technical reference in data architecture, guiding engineering, analytics, and business teams.

• Promote adoption of data models, standards, and best practices across the organization.

• Translate business needs into scalable data solutions and facilitate technical-business alignment.

Who You Are

Education

• Bachelor’s degree in Mechatronics Engineering, Applied Mathematics, Software Engineering, Computer Science, or related fields.

• Preferred certifications: Microsoft Certified, Azure Data Engineer Associate, or relevant cloud and data architecture certifications.

Required Experience

• 10+ years of experience in Data engineer

• 3+ years designing cloud-based data architectures (Azure, AWS, or GCP).

• 2+ years in data architecture, enterprise data modeling, or data governance.

• Led data model design (relational, multidimensional, non-relational) for Data Warehouse, Data Lake, or Lakehouse architectures.

• Participated in multi-source data integration projects (on-premise, cloud, external sources).

• In-depth knowledge of data governance frameworks including quality, cataloging, privacy, and compliance.

• Experience with modern architectures (Data Mesh, Lakehouse) and cataloging tools (Purview, Unity Catalog) is a plus.

Technical Expertise

• Data Modeling: Conceptual, logical, physical modeling; normalization; relational and non-relational design.

• Architectures: Data Warehouse, Data Lake, Lakehouse, Data Mesh.

• Governance: Data lineage, quality, privacy, RBAC, metadata management.

• Platforms: Azure Synapse, Azure Data Lake Gen2, Purview, Unity Catalog, Cosmos DB.

• Data Integration: Azure Data Factory, API Management, integration patterns, Azure Databricks.

• Infrastructure as Code (IaC): Terraform, Azure DevOps (preferred).

• Languages & Tools: SQL, Python (architectural level), JSON, Java, Scala.

• CI/CD: Git, Sonar, DevOps best practices.

Leadership & Soft Skills

• Systemic Thinking: Designs modular, scalable, and integrated architectures.

• Cross-functional Communication: Translates technical and business requirements clearly and effectively.

• Reuse Mindset: Focuses on creating shareable and scalable components.

• Technical Leadership: Influences technical direction and decision-making across teams.

• Complexity Management: Solves high-impact, large-scale technical challenges.

• Product & Platform Mindset: Designs with the data consumer experience in mind.

• Curiosity & Continuous Learning: Stays ahead of tech trends and promotes innovation.

More About PALO IT

We continuously adapt to change, learn from our experiences, and take action to meet the planet’s urgent needs. We are committed to:

• Becoming a climate net-zero company

• Delivering projects with positive impact

• Training 100% of our workforce on sustainability and impact

• Achieving B Corp certification across all our global offices

• Continuously measuring and improving employee happiness

We partner with some of the world’s most innovative organizations, from Fortune 1000 companies to high-impact SMEs and startups.

What We Offer

• Stimulating, collaborative work environments

• A personalized career path and growth opportunities

• International mobility and cultural exchange

• Internal R&D and innovation programs

• Learning & knowledge-sharing initiatives

• Training and certification support

• Entrepreneurship & intrapreneurship culture

🔍 Learn more about our team and perks:
👉 Visit our careers page
🎙️ Listen to the PALOCast – real stories from our Palowans

Role Description

As a Corporate Site Reliability Engineer (SRE) at Dropbox, you will help lead the infrastructure strategy and technical direction of one of the most innovative technology companies globally. Successful candidates will possess a growth mindset, strong accountability and be passionate about designing, building, and securing scalable infrastructure services in a dynamic environment. You will drive improvement projects in automation and observability and effectively handle incidents that arise in a prompt but measured way. In this role, you'll serve as a technical lead of programs related to monitoring, metrics, alerting and reliability throughout the IT Services organization, and contribute to the evolution of our world-class infrastructure while ensuring utmost security and scalability.

Responsibilities

• Ensure the reliability, scalability, and performance of Dropbox's infrastructure and services
• Collaborate with cross-functional teams to develop and maintain best practices for monitoring, logging, and incident response
• Build, Implement and maintain automations & infrastructure-as-code tooling, specifically Terraform, Ansible, and Github Actions as well as custom code platforms
• Utilize container orchestration platforms, such as Kubernetes, Amazon ECS and Red Hat Openshift, to manage containers at scale
• Manage and optimize monitoring and logging pipelines using tools like Datadog and Cribl LogStream
• Drive improvement projects related to service health and visibility for our stakeholders, ranging from developers to business service owners to C-level
• Develop and maintain custom tooling and automation scripts in Bash, Python and other scripting languages

On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.

Requirements

• 5+ years of experience in site reliability engineering or a similar engineering roles with hands-on coding experience
• Strong knowledge of AWS services, including EC2, S3, RDS, R53, Lambda, and others
• Strong knowledge of Linux administration, internals, filesystems, volume management and specific distro's such as Ubuntu, RHEL, DNS, DHCP
• Experience with monitoring and logging tools, Datadog and logging pipeline tools such as Vector or Cribl LogStream
• Experience driving one or more transformational programs related to metrics and observability
• Experience with scripting in a higher level language (Python preferred)
• Experience developing automation to solve infrastructure-related tasks with tools such as Chef/Ansible/Terraform
• Experience with log analysis and building metrics, alerts and visuals from log data
• Strong proficiency in infrastructure-as-code tools, such as Terraform
• Strong Proficiency in Config Management tools specifically Ansible Automation Platform and Chef
• Experience with containerization technologies, such as Docker, and container orchestration platforms like Kubernetes or Amazon ECS
• Knowledge of LDAP, REST API's and current Auth
• Familiarity with GitHub and Git-based workflows
• Understanding of RDS databases and network security technologies, such as WAF
• Strong problem-solving skills and the ability to work well in a fast-paced, collaborative environment
• Excellent written and verbal communication skills

Preferred Qualifications

• Experience managing large-scale multi-cloud or hybrid infrastructure.
• Strong background in Infrastructure as Code (Terraform, Ansible) and GitOps workflows.
• Familiarity with Kubernetes, Docker, and serverless platforms.
• Proven track record improving observability, reliability, and incident response.
• Understanding of compliance and security frameworks (SOC2, ISO 27001, FedRAMP).
• Experience implementing Zero Trust security and access models.

Role Description

We are seeking a motivated Network Engineer to join Dropbox’s Network Engineering team. You’ll work alongside senior and mid level engineers to design, implement, and optimize enterprise network infrastructure across data centers, offices, wireless networks, and cloud environments.

This role provides hands-on opportunities to build expertise in network automation, performance optimization, cloud networking, and security. You’ll support ongoing projects while helping expand the team’s capabilities in automation, observability, and cloud infrastructure consolidation.

Responsibilities

• Monitor, troubleshoot, and optimize networks using Datadog, Kentik NetFlow, and synthetic testing.
• Support datacenter and studio office network deployments, upgrades, and retrofits.
• Assist in day-to-day CorpNet operations including stand-ups and vendor calls.
• Contribute to Aruba Cloud wireless migrations and ongoing management.
• Support AWS, GCP, Azure, and OCI networking initiatives including VPC design, routing, and security optimization.
• Assist with Zscaler ZIA/ZPA/ZDX/ZCC projects including DR testing and Business Continuity deployments.
• Develop, test, and maintain network automation scripts using Ansible and Python.
• Contribute to automation of datacenter office deployments to reduce manual effort and streamline provisioning.
• Work with Terraform and CI/CD pipelines (GitHub Actions, Jenkins, ArgoCD, etc.) to enable repeatable deployments.
• Maintain and improve NetBox, Oxidized, ACL management, and IPAM systems.
• Document network architectures, procedures, and operational guides.
• Contribute to knowledge sharing by writing technical runbooks and training materials.
• Support network segmentation and traffic inspection projects to enhance security posture.
• Assist in secrets and certificate management across enterprise platforms.
• Participate in performance optimization initiatives to improve end-user experience.

On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.

Requirements

• Hands-on experience with Cisco and Juniper platforms.
• Familiarity with network automation using Ansible, Python, and Terraform.
• Understanding of cloud networking concepts (AWS, GCP, Azure, OCI).
• Experience with enterprise networking technologies: DNS, DHCP, VPNs, and Wi-Fi.
• Knowledge of monitoring platforms: Datadog, Kentik, NetBox, IPAM.
• Basic familiarity with CI/CD tools (GitHub Actions, Jenkins, ArgoCD).
• Strong interest in zero trust security (Zscaler) and performance optimization.

Preferred Qualifications

• Exposure to Aruba wireless (on-prem and cloud).
• Experience with Zscaler tools (ZIA, ZPA, ZDX, ZCC).
• Knowledge of Vault or other secrets management platforms.
• Familiarity with containers and Kubernetes networking.
• Strong written skills for technical documentation and runbooks.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The salary range for this role is $5,000 - $9,500 per month (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a technically strong, hands-on Senior Database Reliability Engineer to help design, build, and scale the database platform used across Sezzle’s applications.

This is not a traditional DBA role. This role is for an engineer who can combine deep database knowledge with software engineering, infrastructure engineering, and platform thinking. You will help build the systems, libraries, automation, standards, and guardrails that make database usage across Sezzle reliable, secure, scalable, and easy for developers to adopt correctly.

As a Senior Database Reliability Engineer, you will be responsible for improving how Sezzle applications connect to, migrate, operate, observe, and scale their databases. You will work across application teams, infrastructure, security, and engineering leadership to define patterns that improve database reliability by design — not just by operational response.

You should be comfortable owning problems end-to-end: understanding application behavior, reading code, reviewing database access patterns, building shared tooling, improving connection management, designing migration safety checks, analyzing production performance, and helping developers use databases in safer and more scalable ways.

You should consider yourself a DOer to be a good fit for this role. We are looking for someone who can ship production-quality engineering work, not just advise from the sidelines. With AI tooling and automation, you should be a force multiplier for database reliability, developer productivity, and operational excellence across Sezzle.

Compensation:

For this senior development role, with 6+ years of experience, the compensation range is  $5,000 - $9,500 USD per month. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience.

What You'll Do:

• Design, build, and maintain shared database platform components used by Sezzle applications, such as database connection packages, database client libraries, migration tooling, safety checks, query standards, and developer-facing abstractions.
• Establish reliable, scalable patterns for how Sezzle services connect to and interact with relational databases across production, staging, and development environments.
• Partner with backend engineering teams to improve database usage in application code, including connection lifecycle, transaction handling, retries, timeouts, pooling, query patterns, and migration workflows.
• Build automation and internal tooling that makes database operations safer, more repeatable, and less dependent on manual intervention.
• Define and enforce engineering standards for database access, schema design, migrations, indexing, query performance, connection management, and operational readiness.
• Architect and improve database infrastructure across AWS RDS/Aurora MySQL, PostgreSQL, RDS Proxy, read replicas, backups, failover, parameter groups, monitoring, and capacity planning.
• Lead database reliability initiatives that reduce operational risk, improve performance, and help Sezzle scale safely.
• Review application designs and database changes early in the development lifecycle to ensure reliability, scalability, maintainability, and security are built in from the start.
• Build guardrails for database migrations, including automated checks, rollback expectations, schema review workflows, migration observability, and production safety controls.
• Improve developer self-service for database provisioning, access, schema management, local development, testing, and observability.
• Investigate production database issues by combining application telemetry, database metrics, logs, query plans, traces, and cloud infrastructure data.
• Identify and fix systemic database problems, not just symptoms — including bad access patterns, unsafe migrations, inefficient queries, connection storms, lock contention, replication lag, and capacity bottlenecks.
• Create and maintain high-signal dashboards, alerts, SLOs, SLIs, runbooks, and operational readiness checks for database-backed services.
• Drive improvements in database backup validation, restore testing, disaster recovery, failover readiness, and business continuity.
• Work with security and compliance teams to improve database access controls, auditability, encryption, secrets management, least privilege, and PCI/SOC 2 aligned controls.
• Mentor engineers on database design, query performance, safe migrations, operational readiness, and production debugging.
• Use automation and AI tooling where appropriate to improve migration review, query analysis, incident investigation, documentation, and developer productivity.

What We look for: 

• 6+ years of professional software engineering, infrastructure engineering, database engineering, SRE, or platform engineering experience.
• Strong software engineering ability in at least one production programming language such as Go, Python, or TypeScript.
• Proven ability to build production-quality internal tools, libraries, frameworks, services, or platform components used by other engineers.
• Deep hands-on experience with relational databases, especially MySQL and/or PostgreSQL, in high-availability production environments.
• Strong understanding of how application code interacts with databases, including connection pooling, transactions, isolation levels, retries, timeouts, deadlocks, locking, migrations, and query execution.
• Experience designing or improving shared database access patterns, internal database packages, ORM wrappers, migration frameworks, or developer-facing database tooling.
• Hands-on experience with AWS RDS/Aurora, including provisioning, upgrades, replicas, backups, failover, monitoring, parameter tuning, and production troubleshooting.
• Experience with database connection management technologies such as RDS Proxy, PgBouncer, ProxySQL, or application-level pooling.
• Strong ability to analyze database performance using query plans, indexes, slow query logs, wait events, locks, metrics, and application traces.
• Experience designing safe database migration processes for production systems.
• Strong understanding of observability for database-backed applications, including metrics, logs, traces, SLOs, alerting, and incident response.
• Experience with infrastructure-as-code and CI/CD systems such as Terraform, GitLab CI/CD, Kubernetes, Helm, or similar tooling.
• Ability to influence engineering teams through clear design reviews, documentation, technical standards, and practical implementation.
• Ability to operate independently, identify high-impact problems, propose pragmatic solutions, and drive them to completion.
• Bachelor’s degree in Computer Science.

Preferred Knowledge and Skills:

• Experience building platform capabilities for a microservices environment.
• Experience with Golang application development and database access patterns.
• Experience creating database libraries, SDKs, service templates, migration frameworks, or paved-road developer tooling.
• Experience improving database reliability across many services or teams, not just one application.
• Experience with fintech, payments, banking, e-commerce, or other high-volume transactional systems.
• Experience with compliance-sensitive environments such as PCI DSS, SOC 2, or SOX.
• Experience with database access governance, audit logging, secrets management, encryption, IAM authentication, and least-privilege access models.
• Experience with large-scale operational automation for provisioning, patching, failover testing, backup validation, access management, or schema review.
• Experience with distributed systems patterns such as transactional outbox, event-driven architecture, idempotency, queues, eventual consistency, and data consistency tradeoffs.
• Experience with observability tools such as Prometheus, Grafana, Datadog, CloudWatch, Performance Insights, OpenTelemetry, or New Relic.
• Familiarity with Elasticsearch or other supporting data stores.
• Familiarity with AI developer tooling such as Claude Code, Gemini CLI, Codex, Cursor, and using it to be a more productive engineer.

About You: 

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
• Open Source: Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome? 

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote #full-time

Why You'll Love This Role: 

As a Sr. Software Engineer you will be part of the EveryDay Labs team within Newsela. Your work will have a direct and meaningful impact on student outcomes helping school districts reduce absenteeism and increase learning time for students who need it most. You’ll have the opportunity to work on both complex, existing systems and build new products from the ground up, giving you meaningful ownership and visibility into how your work drives impact. In this role, you’ll be part of a collaborative and mission-driven team where clean code, thoughtful design, and continuous improvement are core to how we work. You’ll engage in an environment that values constructive feedback, strong engineering practices, and shared problem solving, while also having the space to take initiative and make a tangible difference across our product, team, and the communities we serve.

What You'll Be Doing:

• Design, build, and maintain components of our software platform that support attendance analytics, process management, and family communication tools
• Maintain and improve our student and attendance data systems, ensuring they remain performant and scalable as they grow to support tens of millions of records
• Develop new features that enhance product capabilities and drive meaningful outcomes for schools and students
• Automate operational and monitoring processes to support system reliability and scalability
• Optimize and enhance our AWS infrastructure to improve performance, efficiency, and system resilience
• Contribute to technical discussions and help shape practical, scalable solutions, balancing speed, quality, and long-term maintainability
• Partner with cross-functional teams to translate product needs into technical solutions and deliver high-quality outcomes

About You:

• 5+ years of experience in software engineering, with a strong foundation in building scalable backend systems
• Advanced proficiency in our core stack (or similar technologies), including:
• Experience working with AWS infrastructure, including tools such as Terraform, ECS, RDS/Aurora, SES, and messaging systems like SQS/SNS
• Proven ability to manage multiple projects and priorities, maintaining strong attention to detail and delivering high-quality work on time
• Strong communication skills, with the ability to clearly articulate technical concepts, trade-offs, and decisions to a range of stakeholders
• Comfortable working in ambiguous and evolving environments, with a proactive and solutions-oriented mindset
• Experience collaborating across teams to drive alignment, communicate progress, and deliver against shared goals
• Experience operating in environments with broad scope and ambiguity, with the ability to work across multiple areas of the stack.
• Experience with education or education technology a plus
• Fluent in English (written and verbal) required

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

Why You'll Love This Role: 

We're looking for an experienced ML Ops Engineer to join the ML/AI team at Newsela. This team works on projects ranging from classical Machine Learning to AI / Generative pipelines.  This is a hands-on role. You'll work closely with ML/AI, data and site reliability engineers to take models from prototype to production, build robust data pipelines, and keep our services running smoothly as we continue to scale.

What You'll Be Doing:

• Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices.
• Manage containerized services on AWS ECS, optimizing for cost, latency, and availability.
• Automate infrastructure provisioning and service configuration with Terraform.
• Work to maintain and scale services that make use of third party LLM providers.
• Build and improve data pipelines that feed models from BigQuery, S3, and DynamoDB into training and inference workflows.
• Instrument services with observability tooling (Datadog, OpenTelemetry, Langfuse) and establish SLOs for model-serving endpoints.
• Collaborate with ML engineers to productionize new models using BentoML, FastAPI, and container-based serving.

About You:

• 2-3 years in ML Ops supporting ML/AI features, systems and workflows with 3-4 years prior experience in DevOps, CloudOps or SRE.
• Strong proficiency in Python.
• Hands-on experience with Docker containerization and container orchestration.
• Solid understanding of CI/CD for ML workflows in an enterprise production environment.
• Experience with Infrastructure as Code, preferably Terraform.
• Familiarity with cloud platforms — specifically AWS (ECS, ECR, S3, DynamoDB, CloudWatch) and GCP (BigQuery, Vertex AI).
• Experience with LLM integration and observability (OpenAI API, Google GenAI, Langfuse tracing).
• Experience building and maintaining data pipelines for ML training and feature engineering
• Familiarity with ML modeling workflows — training, evaluation, experiment tracking (e.g. MLFlow, Weights & Biases), and model versioning
• Experience monitoring and flagging model drift over time.
• Exposure to NLP/NLU models and frameworks such as Hugging Face Transformers, spaCy, or sentence-transformers
• Knowledge of vector databases (LanceDB, FAISS) and embedding-based retrieval systems
• Experience with scaling and maintaining deep learning frameworks (TensorFlow, PyTorch) in production settings
• Familiarity with classical ML libraries (scikit-learn, XGBoost, LightGBM) and model explainability tools (SHAP)
• Working knowledge of ML serving frameworks such as BentoML or similar.
• Comfort working with FastAPI or similar async Python web frameworks.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

Seeking to hire a Contractor based out of Mexico or Argentina for Lead Analytics Engineering Data Team

• We are looking for a Lead Analytics Engineer to join our data team.
• Reporting to the Hiring Manager, you will be responsible for applying data engineering best practices to analytics code to transform, test, and document data.
• You will provide clean and organized data sets to end users.
• You will be provide expert code reviews and mentorship to other engineers in the data space
• You will be responsible for building and maintaining composable data models, as well as optimizing SQL query performance for the models you build.
• You will transform raw data into business insights, working closely with stakeholders and developing analyses to answer critical business questions.
• You will create data visualizations and help stakeholders explore and understand the data visualization tools available to them.

Why you'll love this role:Data Modeling and Transformation

• Build new analyses and support existing ones using SQL and Python.
• Apply software engineering principles like version control and continuous integration to the analytics codebase.
• Expand our data warehouse with clean data ready for analysis.

Data Quality and Testing

• Apply advanced data testing strategies to ensure resulting datastores are aligned with expected business logic.
• Implement validation checks and automated testing procedures to manage data quality in your ETL/ELT pipelines.

Collaboration and Communication

• Work with stakeholders to define business logic and data expectations.
• Help drive a change in the usage of data by actively surfacing insights to stakeholders.
• Lead initiatives and problem definition, scoping, design, and planning.

Infrastructure and Automation

• Build tools and automation to run data infrastructure.
• Manage large-scale data migrations in relational datastores.

Why you're a great fit:

• 8+ Years experience working with data in a software environment. 
• Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and  data integrity testing frameworks. Experience with dbt orchestration and best practices.
• You have a track record of working autonomously and proactively, with deep domain knowledge of data systems.
• Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau.
• Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

Who We Are

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We’re proud to be a World Economic Forum New Champion and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, 650+ experts from 50+ nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: we invest in what we genuinely believe in and work as a collective intelligence
• We are positive, courageous, caring, doers, and committed to excellence

About Gen-e2

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with strong collaboration between generative AI and our best talents:

• We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot.
• Quality consistently exceeds the output of our best traditional engineering teams.
• A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
• A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.

With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Your Role

As a Tech Lead Full Stack with a strong software architecture mindset, you will lead the technical delivery of digital products end-to-end—hands-on when needed—while guiding teams toward scalable, secure, and maintainable solutions.

Key Responsibilities

• Lead the design and evolution of technology solutions, ensuring scalability, performance, security, and maintainability.
• Drive architectural decisions and trade-offs (e.g., microservices vs modular monolith), applying patterns such as DDD, Clean/Hexagonal Architecture, and event-driven approaches when relevant.
• Design, build, and evolve REST APIs, including versioning, contract-first practices (OpenAPI), backward compatibility, and robust error handling.
• Define and enforce engineering standards: clean code, testing strategy, code reviews, observability, security practices, and CI/CD.
• Mentor and coach engineers, fostering a strong delivery culture and continuously raising the engineering bar.
• Partner with Product, QA, UX, and stakeholders to refine scope, assess technical risks, shape the roadmap, and deliver incrementally.
• Encourage AI-first engineering practices (Copilot/GenAI) with proper governance: quality gates, security, traceability, and testing.

Who You Are

• 10+ years of software engineering experience with proven technical leadership (Tech Lead, Lead Engineer, or strong senior with leadership responsibilities).
• Strong backend expertise in Java (ideally 17/21/25+) or .NET, with solid testing practices (e.g., JUnit/Mockito or .NET equivalents) and performance awareness.
• Strong frontend expertise in Angular (ideally 12+) with TypeScript, RxJS, frontend architecture, and performance best practices.
• Proven ability to design and communicate software architecture: microservices/modular monoliths, Clean/Hexagonal, SOLID principles, integration patterns, and API design.
• Strong engineering fundamentals: CI/CD, Git workflows, code review practices, observability (logs/metrics/traces), and a secure-by-design mindset.

Nice to have / Strong plus

• Kafka/RabbitMQ, event-driven architectures, CQRS, saga/outbox patterns.
• Docker/Kubernetes, Terraform/IaC, and cloud experience (AWS/Azure/GCP).
• OAuth2/OIDC, JWT, and security best practices (OWASP).
• Experience in high-traffic systems, performance tuning, and caching strategies.
• Experience working in AI-assisted engineering environments and setting quality/security guardrails.
• Excellent communication and stakeholder management skills; able to influence decisions and align teams.
• Professional English (B2+ preferred) for global collaboration and documentation.

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company
• Deliver projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification among all our offices across the globe
• Continuously measure & improve employee happiness

Our clients are amongst the world’s most successful companies. We innovate with established Fortune 1000s, SMEs, and start-ups who aim to make an impact, become global leaders, and address the world’s most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training
• Entrepreneurship & intrapreneurship

For more on our team culture and benefits:

Check out our careers page.
And our PALOCast with direct testimonies from our Palowans!

PALO IT is an equal opportunity employer that values merit, qualifications, and abilities. We prioritize privacy and data security. For more information on our privacy practices, please refer to our Privacy Policy.

About Us

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice. 

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients. 

Award-winning and people-first, SimplePractice is shaping the future of health tech.  Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.

Our Culture

At SimplePractice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day:

• We think big
• We take simplicity seriously
• We come as we are
• We act with humility
• We are built on trust

Culture is everyone’s responsibility at SimplePractice. Our culture is what drives us to do better for our teammates and customers.

Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico.

🚀 Meet us in CDMX!

Want to meet the team before you apply? Join us on May 28th for our "Beyond the App: Building the Future of Tech with AI & Data" Meet-up in collaboration with RubyCDMX.

Talk AI, Data, and Engineering with our leads over drinks! 🍺 👉 RSVP here: https://luma.com/32jeyopv

The Role

SimplePractice is hiring for an experienced Senior Software Engineer to join our team in a hybrid role. The ideal candidate will have expert-level knowledge in Ruby on Rails and extensive frontend development experience. This role will be instrumental in implementing a wide variety of planned features and service enhancements to support our growing platform.

As one of the first hires in our brand-new Mexico City location, you will play a pivotal role in helping us build a team of software developers who are passionate about what they do.

About You

• You are a passionate, talented engineer who is willing to push the limits of existing technology to create the best possible user experience
• You work on the front-end with heavier emphasis on the backend to develop new features from start to finish, including design of architecture, coding, and testing
• You are delighted by good design and bring that taste to your front-end work
• You love building products that help 200,000+ customers in their day-to-day life

Responsibilities

• Build out the next generation practice management platform
• Work with our Engineering Leadership and Talent group to scale our new office in Mexico City
• Collaborate with our Product group to help understand customer needs, troubleshoot potential problems and define upcoming features
• Write clean, efficient and well-tested code that improves our code base in meaningful ways
• Own frontend architecture decisions including state management, UI performance, navigation
• Help diagnose problems and architect solutions

Desired Skills & Experience

• You have 2 to 5 years of engineering experience, with hands-on Ruby on Rails expertise for a part of your career
• You're proficient in English, with strong communication and collaboration skills
• You have a degree in Computer Science or a related technical field
• You possess strong experience in at least one modern JavaScript framework, specifically Ember.js or React.js, and the ecosystem around those frameworks
• You have designed and implemented large, scalable web applications and have an appreciation for clean, elegant, and simple code
• You have experience taking Rails apps from idea to production
• You understand the value and nuances of Test-Driven Development
• You're comfortable working with remote teams, using GitHub, Slack, Notion, and Zoom to collaborate

Bonus Points

• You’re excited about holding a lead role to help us scale a brand new software developer office
• You have a good understanding of web application security and best practices
• Working knowledge of managing environments using Docker, MySQL, Postgres, Redis, NGINX, and various AWS services
• Confident working with production environments to help troubleshoot problems
• Experience with Linux
• Infrastructure management via Terraform/Ansible
• Experience with compliance standards PCI/HIPAA

Benefits

We offer a competitive benefits program including:

• Privatized Medical, Dental & Vision Coverage
• Work From Home stipend 
• Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
• Monthly Meal Reimbursement
• Holiday Bonus, 15-day Aguinaldo
• Hybrid Work Schedule & Catered Lunch
• A relocation bonus for candidates joining us from a different city 
• Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice. 

For more information about our privacy practices, please contact us at privacy@simplepractice.com.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

How You'll Make an Impact: 

As a Sr. Site Reliability Engineer, you'll be the guardian of our platform's reliability and performance, ensuring millions of hospitality transactions flow seamlessly across the globe. You'll architect and implement scalable AWS cloud solutions that keep the most ambitious hotels running 24/7, while fostering a culture of automation, resilience, and continuous improvement across our engineering teams.

Our SRE Team:

We're a bottom-up, collaborative team that thrives on healthy debate and shared ownership of our infrastructure. You'll have endless opportunities to influence architecture decisions while working with cutting-edge cloud technologies at scale. We believe the best solutions come from engineers who are empowered to innovate, experiment, and challenge the status quo.

What You Bring to the Team:

• Design and implement a reliable, scalable, and efficient cloud infrastructure to support our global platform's growth
• Maintain and support highly loaded Kubernetes (EKS) clusters and infrastructure-related components
• Develop and continuously improve monitoring and logging systems using Prometheus, DataDog, and Loki stacks
• Participate in on-call rotation to support the production environment and ensure rapid response to outages
• Lead incident response efforts, ensuring minimal service impact while documenting learnings and implementing preventive measures
• Collaborate with development teams to establish Service Level Objectives (SLOs) and ensure systems meet or exceed reliability targets.
• Champion SRE best practices across engineering, mentoring teams on resiliency, performance optimization, and scalability
• Automate platform operations with infrastructure-as-code (Terraform) and configuration management tools

What Sets You Up for Success:

• 5+ years of hands-on experience as an SRE or Systems Engineer working extensively with AWS cloud infrastructure
• 3+ years of production experience with Kubernetes, Docker, and Helm charts at scale
• Proven track record implementing and scaling Elastic Kubernetes Service (EKS) platforms
• Strong expertise with monitoring, logging, and alerting technologies (ELK, Datadog, Loki, or AWS CloudWatch)
• Experience with GitOps and ArgoCD
• Working knowledge of web infrastructure, including NGiNX, Ingress controllers, MySQL/PostgreSQL/Aurora, Redis/Memcached, and SQS
• Business professional English required

Bonus Skills to Stand Out:

• Advanced Database Administration experience with Aurora, MySQL, or PostgreSQL
• Support and enhance the release process through CI/CD pipeline development and optimization
• Experience working in PCI-compliant environments and security-focused infrastructure
• Familiarity with Kong API Gateway and API management at scale

#LI-REMOTE #LI-IK1

How You'll Make an Impact: 

As a Sr. Site Reliability Engineer, you'll be the guardian of our platform's reliability and performance, ensuring millions of hospitality transactions flow seamlessly across the globe. You'll architect and implement scalable AWS cloud solutions that keep the most ambitious hotels running 24/7, while fostering a culture of automation, resilience, and continuous improvement across our engineering teams.

Our SRE Team:

We're a bottom-up, collaborative team that thrives on healthy debate and shared ownership of our infrastructure. You'll have endless opportunities to influence architecture decisions while working with cutting-edge cloud technologies at scale. We believe the best solutions come from engineers who are empowered to innovate, experiment, and challenge the status quo.

What You Bring to the Team:

• Design and implement a reliable, scalable, and efficient cloud infrastructure to support our global platform's growth
• Maintain and support highly loaded Kubernetes (EKS) clusters and infrastructure-related components
• Develop and continuously improve monitoring and logging systems using Prometheus, DataDog, and Loki stacks
• Participate in on-call rotation to support the production environment and ensure rapid response to outages
• Lead incident response efforts, ensuring minimal service impact while documenting learnings and implementing preventive measures
• Collaborate with development teams to establish Service Level Objectives (SLOs) and ensure systems meet or exceed reliability targets.
• Champion SRE best practices across engineering, mentoring teams on resiliency, performance optimization, and scalability
• Automate platform operations with infrastructure-as-code (Terraform) and configuration management tools

What Sets You Up for Success:

• 5+ years of hands-on experience as an SRE or Systems Engineer working extensively with AWS cloud infrastructure
• 3+ years of production experience with Kubernetes, Docker, and Helm charts at scale
• Proven track record implementing and scaling Elastic Kubernetes Service (EKS) platforms
• Strong expertise with monitoring, logging, and alerting technologies (ELK, Datadog, Loki, or AWS CloudWatch)
• Experience with GitOps and ArgoCD
• Working knowledge of web infrastructure, including NGiNX, Ingress controllers, MySQL/PostgreSQL/Aurora, Redis/Memcached, and SQS
• Business professional English required

Bonus Skills to Stand Out:

• Advanced Database Administration experience with Aurora, MySQL, or PostgreSQL
• Support and enhance the release process through CI/CD pipeline development and optimization
• Experience working in PCI-compliant environments and security-focused infrastructure
• Familiarity with Kong API Gateway and API management at scale

#LI-REMOTE #LI-IK1

As a Sr. Site Reliability Engineer, you'll be the guardian of our platform's reliability and performance, ensuring millions of hospitality transactions flow seamlessly across the globe. You'll architect and implement scalable AWS cloud solutions that keep the most ambitious hotels running 24/7, while fostering a culture of automation, resilience, and continuous improvement across our engineering teams.

Our SRE Team:

We're a bottom-up, collaborative team that thrives on healthy debate and shared ownership of our infrastructure. You'll have endless opportunities to influence architecture decisions while working with cutting-edge cloud technologies at scale. We believe the best solutions come from engineers who are empowered to innovate, experiment, and challenge the status quo.

What You Bring to the Team:

• Design and implement a reliable and scalable AWS architecture to meet the needs of the organization.
• Maintain and support highly loaded Kubernetes (EKS) clusters and infrastructure-related components.
• Support the CICD process with ArgoCD and GitOps.
• Automate the platform deployments with Terraform infrastructure-as-code.
• Develop and continuously improve product Observability and Monitoring systems based on the Grafana, Prometheus, DataDog, and Cloudwatch.
• Respond and participate with Incident Management and Root Cause Analysis, ensuring minimal impact on services.
• Optimize system performance and troubleshoot issues as they arise.
• Collaborate with development teams to establish monitoring best practices and ensure systems meet reliability targets. 
• Collaborate with security teams to implement and maintain security best practices.
• Infrastructure support rotation providing guidance to other engineering teams.

What Sets You Up for Success:

• 5+ years of experience as a DevOps or SRE working within the AWS ecosystem.
• 5+ years of experience with Kubernetes (EKS) and Helm charts.
• Experience with designing, building, and supporting CI/CD pipelines with ArgoCD and GitHub actions.
• Experience with infrastructure-as-code methodologies with Terraform.
• Experience with Observability and Monitoring with Grafana, Prometheus, DataDog, and Cloudwatch.
• Experience with Incident Management, full-stack troubleshooting, performance analysis, and root cause analysis (RCA).
• Experience with Web application systems such as Nginx, Ingress controllers, load balancing and Content Delivery Networks. 
• Experience with Databases (MySQL, PostgreSQL, Aurora) and Middleware technologies (Redis, Memcached and SQS)
• Good networking skills with VPC, Security Groups, and Network ACLs.
• Ability to work remotely and manage your own time in a global team.
• Good written and verbal communication in English.
• Bachelor’s degree in Computer Science or equivalent experience.

Bonus Skills to Stand Out:

• Advanced experience with Database Administration (Aurora, MySQL, PostgreSQL).
• Experience working in a PCI-compliant environment.
• Experience working with Kong API Gateway.

#LI-REMOTE #LI-IK1

As a Sr. Site Reliability Engineer, you'll be the guardian of our platform's reliability and performance, ensuring millions of hospitality transactions flow seamlessly across the globe. You'll architect and implement scalable AWS cloud solutions that keep the most ambitious hotels running 24/7, while fostering a culture of automation, resilience, and continuous improvement across our engineering teams.

Our SRE Team:

We're a bottom-up, collaborative team that thrives on healthy debate and shared ownership of our infrastructure. You'll have endless opportunities to influence architecture decisions while working with cutting-edge cloud technologies at scale. We believe the best solutions come from engineers who are empowered to innovate, experiment, and challenge the status quo.

What You Bring to the Team:

• Design and implement a reliable and scalable AWS architecture to meet the needs of the organization.
• Maintain and support highly loaded Kubernetes (EKS) clusters and infrastructure-related components.
• Support the CICD process with ArgoCD and GitOps.
• Automate the platform deployments with Terraform infrastructure-as-code.
• Develop and continuously improve product Observability and Monitoring systems based on the Grafana, Prometheus, DataDog, and Cloudwatch.
• Respond and participate with Incident Management and Root Cause Analysis, ensuring minimal impact on services.
• Optimize system performance and troubleshoot issues as they arise.
• Collaborate with development teams to establish monitoring best practices and ensure systems meet reliability targets. 
• Collaborate with security teams to implement and maintain security best practices.
• Infrastructure support rotation providing guidance to other engineering teams.

What Sets You Up for Success:

• 5+ years of experience as a DevOps or SRE working within the AWS ecosystem.
• 5+ years of experience with Kubernetes (EKS) and Helm charts.
• Experience with designing, building, and supporting CI/CD pipelines with ArgoCD and GitHub actions.
• Experience with infrastructure-as-code methodologies with Terraform.
• Experience with Observability and Monitoring with Grafana, Prometheus, DataDog, and Cloudwatch.
• Experience with Incident Management, full-stack troubleshooting, performance analysis, and root cause analysis (RCA).
• Experience with Web application systems such as Nginx, Ingress controllers, load balancing, and Content Delivery Networks. 
• Experience with Databases (MySQL, PostgreSQL, Aurora) and Middleware technologies (Redis, Memcached, and SQS)
• Good networking skills with VPC, Security Groups, and Network ACLs.
• Ability to work remotely and manage your own time in a global team.
• Good written and verbal communication in English.
• Bachelor’s degree in Computer Science or equivalent experience.

Bonus Skills to Stand Out:

• Advanced experience with Database Administration (Aurora, MySQL, PostgreSQL).
• Experience working in a PCI-compliant environment.
• Experience working with Kong API Gateway.

#LI-REMOTE #LI-IK1

As a Sr. Site Reliability Engineer, you'll be the guardian of our platform's reliability and performance, ensuring millions of hospitality transactions flow seamlessly across the globe. You'll architect and implement scalable AWS cloud solutions that keep the most ambitious hotels running 24/7, while fostering a culture of automation, resilience, and continuous improvement across our engineering teams.

Our SRE Team:

We're a bottom-up, collaborative team that thrives on healthy debate and shared ownership of our infrastructure. You'll have endless opportunities to influence architecture decisions while working with cutting-edge cloud technologies at scale. We believe the best solutions come from engineers who are empowered to innovate, experiment, and challenge the status quo.

What You Bring to the Team:

• Design and implement a reliable and scalable AWS architecture to meet the needs of the organization.
• Maintain and support highly loaded Kubernetes (EKS) clusters and infrastructure-related components.
• Support the CICD process with ArgoCD and GitOps.
• Automate the platform deployments with Terraform infrastructure-as-code.
• Develop and continuously improve product Observability and Monitoring systems based on the Grafana, Prometheus, DataDog, and Cloudwatch.
• Respond and participate with Incident Management and Root Cause Analysis, ensuring minimal impact on services.
• Optimize system performance and troubleshoot issues as they arise.
• Collaborate with development teams to establish monitoring best practices and ensure systems meet reliability targets. 
• Collaborate with security teams to implement and maintain security best practices.
• Infrastructure support rotation providing guidance to other engineering teams.

What Sets You Up for Success:

• 5+ years of experience as a DevOps or SRE working within the AWS ecosystem.
• 5+ years of experience with Kubernetes (EKS) and Helm charts.
• Experience with designing, building, and supporting CI/CD pipelines with ArgoCD and GitHub actions.
• Experience with infrastructure-as-code methodologies with Terraform.
• Experience with Observability and Monitoring with Grafana, Prometheus, DataDog, and Cloudwatch.
• Experience with Incident Management, full-stack troubleshooting, performance analysis, and root cause analysis (RCA).
• Experience with Web application systems such as Nginx, Ingress controllers, load balancing and Content Delivery Networks. 
• Experience with Databases (MySQL, PostgreSQL, Aurora) and Middleware technologies (Redis, Memcached and SQS)
• Good networking skills with VPC, Security Groups, and Network ACLs.
• Ability to work remotely and manage your own time in a global team.
• Good written and verbal communication in English.
• Bachelor’s degree in Computer Science or equivalent experience.

Bonus Skills to Stand Out:

• Advanced experience with Database Administration (Aurora, MySQL, PostgreSQL).
• Experience working in a PCI-compliant environment.
• Experience working with Kong API Gateway.

#LI-REMOTE #LI-IK1

Our ELT (Extract, Load, Transform) application simplifies data workflows, enabling organizations to extract insights faster, automate repetitive tasks, and unlock the true potential of their data.

We are looking for a Senior Software Engineer with deep experience designing and scaling large-scale, data-intensive systems. This role requires hands-on expertise working with massive datasets, distributed data pipelines, and high-throughput backend architectures. You will play a key role in driving our backend services, data platforms, and cloud-native systems forward.

What You’ll Do

• Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
• Architect and optimize backend services for high throughput and low-latency performance.
• Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services.
• Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
• Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
• Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
• Mentor developers, guide code reviews, and raise engineering quality standards.
• Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.

What You Bring

Technical Expertise

• 7+ years of backend or full-stack engineering experience with a strong backend focus.
• 7+ years of hands-on Python experience (APIs, automation, large-scale data pipelines).
• 3+ years working with Typescript / Node.js.
• Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
• Strong practical experience deploying and optimizing production workloads on Kubernetes.
• Proven experience working with large datasets, distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
• Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.

Collaboration & Communication

• Strong business-level English proficiency to communicate effectively with cross-functional teams across regions.
• Ability to collaborate, document solutions clearly, and participate in technical discussions with stakeholders.

🗒️ Note: 

• Candidates selected for this position will be hired directly by Varicent.
• This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders. 
• This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

🍎 Benefits 

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Working with the latest tools and technologies in a fast-paced environment.
• Remote Work Flexibility.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Dynamic Work Culture: Thrive in our innovative and multicultural environment.
• Grow with Us: Continuous development opportunities.

Our ELT (Extract, Load, Transform) application simplifies data workflows, enabling organizations to extract insights faster, automate repetitive tasks, and unlock the true potential of their data.

We are looking for a Staff Software Engineer with deep experience designing and scaling large-scale, data-intensive systems. This role requires hands-on expertise working with massive datasets, distributed data pipelines, and high-throughput backend architectures. You will play a key role in driving our backend services, data platforms, and cloud-native systems forward.

What You’ll Do

• Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
• Architect and optimize backend services for high throughput and low-latency performance.
• Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services.
• Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
• Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
• Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
• Mentor developers, guide code reviews, and raise engineering quality standards.
• Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.

What You Bring

Technical Expertise

• 7+ years of backend or full-stack engineering experience with a strong backend focus.
• 7+ years of hands-on Python experience (APIs, automation, large-scale data pipelines).
• 3+ years working with Typescript / Node.js.
• Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
• Strong practical experience deploying and optimizing production workloads on Kubernetes.
• Proven experience working with large datasets, distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
• Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.

Collaboration & Communication

• Strong business-level English proficiency to communicate effectively with cross-functional teams across regions.
• Ability to collaborate, document solutions clearly, and participate in technical discussions with stakeholders.

🗒️ Note: 

• Candidates selected for this position will be hired directly by Varicent.
• This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders. 
• This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

🍎 Benefits 

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Working with the latest tools and technologies in a fast-paced environment.
• Remote Work Flexibility.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Dynamic Work Culture: Thrive in our innovative and multicultural environment.
• Grow with Us: Continuous development opportunities.

Our ELT (Extract, Load, Transform) application simplifies data workflows, enabling organizations to extract insights faster, automate repetitive tasks, and unlock the true potential of their data.

We are looking for a Staff Software Engineer with deep experience designing and scaling large-scale, data-intensive systems. This role requires hands-on expertise working with massive datasets, distributed data pipelines, and high-throughput backend architectures. You will play a key role in driving our backend services, data platforms, and cloud-native systems forward.

What You’ll Do

• Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
• Architect and optimize backend services for high throughput and low-latency performance.
• Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services.
• Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
• Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
• Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
• Mentor developers, guide code reviews, and raise engineering quality standards.
• Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.

What You Bring

Technical Expertise

• 7+ years of backend or full-stack engineering experience with a strong backend focus.
• 7+ years of hands-on Python experience (APIs, automation, large-scale data pipelines).
• 3+ years working with Typescript / Node.js.
• Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
• Strong practical experience deploying and optimizing production workloads on Kubernetes.
• Proven experience working with large datasets, distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
• Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.

Collaboration & Communication

• Strong business-level English proficiency to communicate effectively with cross-functional teams across regions.
• Ability to collaborate, document solutions clearly, and participate in technical discussions with stakeholders.

🗒️ Note: 

• Candidates selected for this position will be hired directly by Varicent.
• This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders. 
• This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

🍎 Benefits 

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Working with the latest tools and technologies in a fast-paced environment.
• Remote Work Flexibility.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Dynamic Work Culture: Thrive in our innovative and multicultural environment.
• Grow with Us: Continuous development opportunities.

Our ELT (Extract, Load, Transform) application simplifies data workflows, enabling organizations to extract insights faster, automate repetitive tasks, and unlock the true potential of their data.

We are looking for a Senior Software Engineer with deep experience designing and scaling large-scale, data-intensive systems. This role requires hands-on expertise working with massive datasets, distributed data pipelines, and high-throughput backend architectures. You will play a key role in driving our backend services, data platforms, and cloud-native systems forward.

What You’ll Do

• Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
• Architect and optimize backend services for high throughput and low-latency performance.
• Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services.
• Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
• Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
• Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
• Mentor developers, guide code reviews, and raise engineering quality standards.
• Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.

What You Bring

Technical Expertise

• 7+ years of backend or full-stack engineering experience with a strong backend focus.
• 7+ years of hands-on Python experience (APIs, automation, large-scale data pipelines).
• 3+ years working with Typescript / Node.js.
• Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
• Strong practical experience deploying and optimizing production workloads on Kubernetes.
• Proven experience working with large datasets, distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
• Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.

Collaboration & Communication

• Strong business-level English proficiency to communicate effectively with cross-functional teams across regions.
• Ability to collaborate, document solutions clearly, and participate in technical discussions with stakeholders.

🗒️ Note: 

• Candidates selected for this position will be hired directly by Varicent.
• This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders. 
• This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

🍎 Benefits 

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Working with the latest tools and technologies in a fast-paced environment.
• Remote Work Flexibility.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Dynamic Work Culture: Thrive in our innovative and multicultural environment.
• Grow with Us: Continuous development opportunities.

Our ELT (Extract, Load, Transform) application simplifies data workflows, enabling organizations to extract insights faster, automate repetitive tasks, and unlock the true potential of their data.

We are looking for a Senior Software Engineer with deep experience designing and scaling large-scale, data-intensive systems. This role requires hands-on expertise working with massive datasets, distributed data pipelines, and high-throughput backend architectures. You will play a key role in driving our backend services, data platforms, and cloud-native systems forward.

What You’ll Do

• Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
• Architect and optimize backend services for high throughput and low-latency performance.
• Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services.
• Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
• Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
• Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
• Mentor developers, guide code reviews, and raise engineering quality standards.
• Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.

What You Bring

Technical Expertise

• 7+ years of backend or full-stack engineering experience with a strong backend focus.
• 7+ years of hands-on Python experience (APIs, automation, large-scale data pipelines).
• 3+ years working with Typescript / Node.js.
• Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
• Strong practical experience deploying and optimizing production workloads on Kubernetes.
• Proven experience working with large datasets, distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
• Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.

Collaboration & Communication

• Strong business-level English proficiency to communicate effectively with cross-functional teams across regions.
• Ability to collaborate, document solutions clearly, and participate in technical discussions with stakeholders.

🗒️ Note: 

• Candidates selected for this position will be hired directly by Varicent.
• This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders. 
• This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

🍎 Benefits 

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Working with the latest tools and technologies in a fast-paced environment.
• Remote Work Flexibility.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Dynamic Work Culture: Thrive in our innovative and multicultural environment.
• Grow with Us: Continuous development opportunities.

Our ELT (Extract, Load, Transform) application simplifies data workflows, enabling organizations to extract insights faster, automate repetitive tasks, and unlock the true potential of their data.

We are looking for a Senior Software Engineer with deep experience designing and scaling large-scale, data-intensive systems. This role requires hands-on expertise working with massive datasets, distributed data pipelines, and high-throughput backend architectures. You will play a key role in driving our backend services, data platforms, and cloud-native systems forward.

What You’ll Do

• Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
• Architect and optimize backend services for high throughput and low-latency performance.
• Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services.
• Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
• Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
• Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
• Mentor developers, guide code reviews, and raise engineering quality standards.
• Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.

What You Bring

Technical Expertise

• 7+ years of backend or full-stack engineering experience with a strong backend focus.
• 7+ years of hands-on Python experience (APIs, automation, large-scale data pipelines).
• 3+ years working with Typescript / Node.js.
• Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
• Strong practical experience deploying and optimizing production workloads on Kubernetes.
• Proven experience working with large datasets, distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
• Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.

Collaboration & Communication

• Strong business-level English proficiency to communicate effectively with cross-functional teams across regions.
• Ability to collaborate, document solutions clearly, and participate in technical discussions with stakeholders.

🗒️ Note: 

• Candidates selected for this position will be hired directly by Varicent.
• This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders. 
• This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

🍎 Benefits 

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Working with the latest tools and technologies in a fast-paced environment.
• Remote Work Flexibility.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Dynamic Work Culture: Thrive in our innovative and multicultural environment.
• Grow with Us: Continuous development opportunities.

Our ELT (Extract, Load, Transform) application simplifies data workflows, enabling organizations to extract insights faster, automate repetitive tasks, and unlock the true potential of their data.

We are looking for a Lead Software Engineer with deep experience designing and scaling large-scale, data-intensive systems. This role requires hands-on expertise working with massive datasets, distributed data pipelines, and high-throughput backend architectures. You will play a key role in driving our backend services, data platforms, and cloud-native systems forward.

What You’ll Do

• Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
• Architect and optimize backend services for high throughput and low-latency performance.
• Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services.
• Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
• Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
• Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
• Mentor developers, guide code reviews, and raise engineering quality standards.
• Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.

What You Bring

Technical Expertise

• 7+ years of backend or full-stack engineering experience with a strong backend focus.
• 7+ years of hands-on Python experience (APIs, automation, large-scale data pipelines).
• 3+ years working with Typescript / Node.js.
• Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
• Strong practical experience deploying and optimizing production workloads on Kubernetes.
• Proven experience working with large datasets, distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
• Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.

Collaboration & Communication

• Strong business-level English proficiency to communicate effectively with cross-functional teams across regions.
• Ability to collaborate, document solutions clearly, and participate in technical discussions with stakeholders.

🗒️ Note: 

• Candidates selected for this position will be hired directly by Varicent.
• This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders. 
• This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

🍎 Benefits 

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Working with the latest tools and technologies in a fast-paced environment.
• Remote Work Flexibility.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Dynamic Work Culture: Thrive in our innovative and multicultural environment.
• Grow with Us: Continuous development opportunities.

At Mitratech, we are a team of innovators focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse, inclusive work culture centred on great people practices, learning opportunities, and fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling a rapid pace with some of the most complex, leading-edge technologies available.

For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.

As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

Due to business and compliance requirements, this position is open only to candidates residing in Mexico. Applications from candidates outside this region will not be considered.

Job Overview 

We are seeking an experienced Sr. Linux & Oracle Cloud Infrastructure (OCI) Administrator to support a production application hosted on OCI. The role focuses on Oracle Linux administration, OCI networking and security, Terraform-based automation, and operational support for SFTP and mail services.

Essential Duties & Responsibilities:

• Administer and support Oracle Linux systems (patching, tuning, troubleshooting)
• Manage OCI resources: compute, VCNs, subnets, routing, load balancers
• Configure and maintain OCI security (IAM, NSGs, security lists, compartments)
• Design and troubleshoot OCI networking and connectivity issues
• Provision and manage infrastructure using Terraform (IaC)
• Support SFTP and mail services (secure access, monitoring, troubleshooting)
• Perform system monitoring, backup coordination, and DR support
• Participate in production support, incidents, and on-call rotations
• Maintain operational documentation and runbooks

Requirements & Skills:

• 7+ years professional experience administering Linux in production (preferably Oracle Linux or closely related RHEL).
• Strong Hands-on experience with OCI administration (compute, networking, IAM, security)
• Experience supporting Oracle WebLogic Server
• Working knowledge of Oracle Database environments
• IaC & Automation: Deep proficiency with Terraform (modules, workspaces, remote state, testing) and Ansible (roles, collections, idempotency, vault).
• Systems Expertise:
• Kernel, systemd, SELinux/AppArmor, LVM/filesystems (xfs/ext4/btrfs), iSCSI/NFS, SSH/hardening.
• Package and patch management (yum/dnf, repo mirrors, Ksplice), vulnerability management, and baseline hardening (CIS/STIG).
• Solid understanding of Networking Fundamentals: TCP/IP, routing, DNS, DHCP, load balancing, proxies, firewalls/security groups, PKI/certificates (TLS).
• Scripting: Proficiency in Bash
• Experience with SFTP and SMTP/mail services
• Deployment Experience: Comfortable with both modern (immutable, pipelines, containers) and older practices (in‑place upgrades, change windows, maintenance runbooks).
• Troubleshooting: Proven ability to diagnose and resolve complex incidents across OS, network, and platform layers.
• Documentation & Communication: Clear written/verbal communication; ability to author design docs, runbooks, and RFCs.

Nice to Have (Preferred)

• Certifications: Oracle Linux, OCI Architect Professional/Associate, RHCSA/RHCE (or equivalents), Terraform Associate, Ansible Automation.
• Tooling: Packer, GitHub Actions/GitLab CI/Azure DevOps/Jenkins, HashiCorp Vault, OCI Bastion/Cloud Guard, Security Zones.
• Containers & Orchestration: Docker, Kubernetes, admission controls, image signing, and runtime policies.

Preferred Qualifications

• OCI certifications
• Experience with monitoring tools and CI/CD pipelines
• High availability and disaster recovery experience

Soft Skills

• Strong troubleshooting skills
• Ability to work in production-critical environments
• Good communication and documentation skills

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.

About Us

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice. 

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients. 

Award-winning and people-first, SimplePractice is shaping the future of health tech.  Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.

Our Culture

At SimplePractice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day:

• We think big
• We take simplicity seriously
• We come as we are
• We act with humility
• We are built on trust

Culture is everyone’s responsibility at SimplePractice. Our culture is what drives us to do better for our teammates and customers.

Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico.

The Role

We're looking for a Senior Data Engineer to help lead the evolution of our data stack—from pipelines to platform. In this role, you'll build the infrastructure that powers everything from product intelligence to financial reporting and self-serve analytics in product

Our customers are clinicians in small to mid-sized private practices, and the data you shape will directly help them run more efficient, effective businesses. By enabling accessible insights—from no-show trends to client engagement—you’ll give practitioners the tools to make smarter, faster decisions about how they manage care.

Internally, your work will fuel everything from executive reporting and revenue forecasting to product analytics and AI evaluation loops. You’ll collaborate across Data Analytics, ML, Product, and Engineering teams to build scalable, reliable systems that make data a first-class product at SimplePractice.

Responsibilities

• Partner with Product, Analytics and Engineering to build scalable systems that help unlock the value of data from a wide range of sources such as backend databases, event streams, and marketing platforms
• Lead technical vision and architecture with holistic point of view on both short-term and long-term horizons 
• Work with analytics to create company wide alignment through standardized metrics across the company
• Work with Product and Engineering teams to support internal use cases such as financial reporting, product analytics and operational metrics
• Enable external use cases like customer-facing dashboard, self-serve analytics, and next best action in product 
• Manage the complete data stack from ingestion through data consumption
• Build tools to increase transparency in reporting company wide business outcomes
• Work with DevOps to deploy and maintain data solutions leveraging cloud data technologies, preferably in AWS
• Help define data quality and data security framework to measure and monitor data quality across the enterprise. Define and promote data engineering best practice

Desired Skills & Experience

• Education & Experience
  • BS/MS in Engineering, Computer Science, Mathematics, or related field
  • 7+ years in Data or Analytics Engineering
  • Strong problem-solving and communication skills; comfortable in fast-paced, cross-functional environments
• Data Engineering & Pipelines
  • Enterprise architecture and enterprise data architecture (data modeling and enterprise dimensional modeling)
  • Expert in SQL and data modeling (relational, dimensional, semantic)
  • Proven experience in data warehouse design, implementation, and maintenance (Snowflake)
  • Hands-on with DBT for modular, testable transformations
  • Experience with orchestration and ingestion tools: Airflow, Prefect, Airbyte, Fivetran, Kafka
  • Familiar with ELT, schema-on-read, DAGs, and performance optimization
• Cloud & Infrastructure
  • Experience with AWS (S3, RDS, Redshift, etc.)
  • Familiar with Terraform, Docker, and containerized workflows (bonus)
  • Skilled in handling structured, semi-structured (e.g., JSON), and columnar formats (e.g., Parquet, ORC)
• Analytics & Enablement
  • Experience building and supporting semantic layers for self-serve analytics
  • Proficient with BI tools like Looker, Tableau, or Sisense
  • Comfortable standardizing metrics and enabling trusted, consistent access to data
• Programming & Scripting
  • Proficient in Python and Unix/Linux scripting
  • Comfortable working with APIs (e.g., using curl)

Bonus Points

• AWS DevOps - Terraform, Kubernetes, Docker
• Project & Change Management skills especially experience working in an Agile (SCRUM, Kanban) environment/team focusing on sprint by sprint deliveries
• Real-time ETL - Kafka streaming, AWS Kinesis

Benefits

We offer a competitive benefits program including:

• Privatized Medical, Dental & Vision Coverage
• Work From Home stipend 
• Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
• Monthly Meal Reimbursement
• Holiday Bonus, 15-day Aguinaldo
• Hybrid Work Schedule & Catered Lunch
• A relocation bonus for candidates joining us from a different city 
• Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice. 

For more information about our privacy practices, please contact us at privacy@simplepractice.com.

Sobre Nosotros

SimplePractice tiene su sede en Los Ángeles, California, pero contamos con miembros del equipo que viven y trabajan en Estados Unidos, República Dominicana, Ciudad de México y Ucrania.

En SimplePractice, trabajamos para mejorar el acceso a una atención de calidad, brindando  a los profesionales de la salud y el bienestar todas las herramientas que necesitan para prosperar en la práctica privada.

Más de 250,000 proveedores confían en SimplePractice para desarrollar su negocio con nuestro software líder en la industria, que ofrece potentes herramientas que simplifican cada aspecto de la gestión de la práctica. Desde las tareas administrativas hasta la atención clínica, nuestro conjunto de soluciones innovadoras trabaja de manera integrada para reducir la carga administrativa, permitiendo a los profesionales, tanto individuales como en pequeños grupos, prosperar junto con sus clientes.

Ganador de premios y centrado en las personas, SimplePractice está dando forma al futuro de la tecnología de la salud. Reconocido por MedTech Breakthrough y los Premios de Salud Digital, y como uno de los Mejores Lugares para Programar en México y uno de los Mejores Lugares para Trabajar según BuiltIn.

Nuestra Cultura

En SimplePractice, la cultura es nuestra base. Influye en la manera en que trabajamos, cómo servimos a nuestros clientes y cómo abordamos el cumplimiento de nuestra misión. Contamos con cinco valores fundamentales que buscamos encarnar cada día:

• Pensamos en grande

• Tomamos la simplicidad en serio

• Venimos tal como somos

• Actuamos con humildad

• Estamos construidos sobre la confianza

La cultura es responsabilidad de todos en SimplePractice. Es lo que nos impulsa a hacerlo mejor para nuestros compañeros y clientes.

La conexión y la colaboración también son clave para nuestro éxito. Trabajarás con equipos multinacionales talentosos y tendrás oportunidades de participar en encuentros presenciales tanto en EE. UU. como en México.

🚀 ¡Encuéntranos en la Ciudad de México!

¿Quieres conocer al equipo antes de postularte? Acompáñanos el 28 de mayo en nuestro encuentro "Más allá de la app: Construyendo el futuro de la tecnología con IA y datos", en colaboración con RubyCDMX.

¡Habla de IA, datos e ingeniería con nuestros líderes mientras disfrutas de una bebida! 🍺 👉 Confirma tu asistencia aquí: https://luma.com/32jeyopv

El Rol

Estamos buscando un Senior Data Engineer para ayudar a liderar la evolución de nuestro stack de datos, desde los pipelines hasta la plataforma. En este rol, construirás la infraestructura que impulsa todo, desde inteligencia de producto hasta reportes financieros y analítica self-serve dentro del producto.

Nuestros clientes son profesionales clínicos en prácticas privadas pequeñas y medianas, y los datos que estructures les ayudarán directamente a operar negocios más eficientes y efectivos. Al habilitar insights accesibles, como tendencias de inasistencias o niveles de interacción de pacientes, brindarás a los profesionales herramientas para tomar decisiones más inteligentes y rápidas sobre la gestión de la atención.

Internamente, tu trabajo impulsará desde reportes ejecutivos y proyecciones de ingresos hasta analítica de producto y ciclos de evaluación de modelos de IA. Colaborarás con equipos de Data Analytics, Machine Learning, Producto e Ingeniería para construir sistemas escalables y confiables que conviertan los datos en un producto de primera clase dentro de SimplePractice.

Responsabilidades

• Colaborar con Producto, Analytics e Ingeniería para construir sistemas escalables que desbloqueen el valor de los datos provenientes de múltiples fuentes como bases de datos backend, flujos de eventos y plataformas de marketing.
• Liderar la visión técnica y la arquitectura con una perspectiva integral tanto a corto como a largo plazo.
• Trabajar con el equipo de Analytics para crear alineación a nivel compañía mediante métricas estandarizadas.
• Apoyar casos de uso internos como reportes financieros, analítica de producto y métricas operativas.
• Habilitar casos de uso externos como dashboards para clientes, analítica self-serve y recomendaciones dentro del producto.
• Gestionar el stack completo de datos desde la ingestión hasta el consumo.
• Construir herramientas que aumenten la transparencia en el reporte de resultados de negocio.
• Colaborar con DevOps para desplegar y mantener soluciones de datos en la nube, preferentemente en AWS.
• Definir marcos de calidad y seguridad de datos para medir y monitorear la calidad en toda la organización, promoviendo mejores prácticas de ingeniería de datos.

Habilidades y Experiencia Deseadas

Educación y Experiencia

• Licenciatura o Maestría en Ingeniería, Ciencias de la Computación, Matemáticas o campo relacionado.
• Más de 7 años en Data Engineering o Analytics Engineering.
• Fuertes habilidades de resolución de problemas y comunicación; cómodo trabajando en entornos dinámicos y multifuncionales.

Ingeniería de Datos y Pipelines

• Experiencia en arquitectura empresarial y modelado dimensional.
• Experto en SQL y modelado de datos (relacional, dimensional, semántico).
• Experiencia comprobada en diseño, implementación y mantenimiento de data warehouses (Snowflake).
• Experiencia práctica con DBT para transformaciones modulares y testeables.
• Experiencia con herramientas de orquestación e ingestión: Airflow, Prefect, Airbyte, Fivetran, Kafka.
• Familiaridad con ELT, schema-on-read, DAGs y optimización de rendimiento.

Nube e Infraestructura

• Experiencia con AWS (S3, RDS, Redshift, etc.).
• Familiaridad con Terraform, Docker y flujos de trabajo contenerizados (deseable).
• Manejo de datos estructurados, semi-estructurados (JSON) y formatos columnares (Parquet, ORC).

Analítica y Habilitación

• Experiencia construyendo y soportando capas semánticas para analítica self-serve.
• Dominio de herramientas BI como Looker, Tableau o Sisense.
• Experiencia estandarizando métricas y habilitando acceso confiable y consistente a los datos.

Programación y Scripting

• Dominio de Python y scripting en Unix/Linux.
• Experiencia trabajando con APIs (por ejemplo, usando curl).

Puntos Extra

• AWS DevOps (Terraform, Kubernetes, Docker).
• Experiencia en gestión de proyectos y cambio, especialmente en entornos ágiles (SCRUM, Kanban).
• Experiencia en ETL en tiempo real (Kafka streaming, AWS Kinesis).

Beneficios

Ofrecemos un programa competitivo de beneficios que incluye:

• Seguro médico, dental y de visión privado
• Apoyo para trabajo desde casa
• Tiempo libre flexible (FTO), días de bienestar, días festivos pagados y Summer Fridays
• Reembolso mensual de alimentos
• Bono navideño y 15 días de aguinaldo
• Esquema híbrido de trabajo y comidas patrocinadas
• Bono de reubicación para candidatos que se muden desde otra ciudad
• Grupos de Recursos para Empleados (ERGs)

The Mission

This is a senior role for someone who leads from both directions at once — deeply technical on customer engagements, and fully accountable for the growth and performance of a team of ML engineers and architects. You will report to the Director of AI/ML.

You own hiring, development, and team health alongside leading complex customer engagements, shaping architecture, and driving pre-sales. Both parts of this job are real and ongoing. The right candidate will find energy in that combination, not tension.

Your Assignment

Leading Your Team

• Hire and build: Set the technical bar for ML roles on your team, lead or oversee technical assessments, and make hiring decisions you can stand behind. Build a team that raises the practice's overall standard.
• Develop people: Run regular structured 1:1s, provide candid feedback at meaningful milestones, and actively invest in each person's growth — whether they are early in their career or highly experienced.
• Manage performance: Recognize strong contributors and address performance gaps directly and early. Partner with HRBPs and the Director of AI/ML when situations require a structured path, and advocate for your team when they deserve it.
• Stay close to staffing: Understand how your team is utilized across engagements, keep the staffing team informed of each person's skills evolution and preferences, and ensure people are placed in work that stretches them appropriately.

Strategic Advisory

• Lead ML assessments: Evaluate customer environments end-to-end — infrastructure, data pipelines, model lifecycle, and organizational readiness — and produce recommendations that drive executive decisions and open the door to the next engagement.
• Shape architecture: Serve as the senior technical authority on engagements, setting architectural direction, ensuring technical quality across the team, and making the calls that matter when tradeoffs are hard.
• Advise on ML operations: Help customers build ML systems they can actually own and sustain — translating MLOps, LLMOps, and production monitoring complexity into standards their engineering teams can execute and their leadership can act on.
• Drive pre-sales: Partner with sales and solutions teams during scoping and proposal phases, contributing the technical depth needed to scope work accurately and give prospects confidence in Caylent's ability to deliver.

Hands-On Delivery

• Lead engagements end-to-end: Drive architecture and solution design from kickoff through delivery — setting technical direction, unblocking the team on hard problems, and ensuring the work meets Caylent's quality standards.
• Own the technical relationship: Depending on the engagement, you are either the primary client contact owning all architect-level outcomes, or the senior technical authority providing oversight across the team. The expectation is the same in both cases — you are the person the engagement depends on technically.

Growing the Practice

• • Raise the bar internally: Mentor engineers and architects through real work, contribute to technical interviews, and build reference architectures and accelerators that make the broader ML practice better.

Your Qualifications (non-negotiables)

• 10+ years in machine learning or AI, with a proven track record of leading client-facing engagements in a consulting or advisory capacity.
• Demonstrated people management experience — hiring, performance calibration, career development, and the ability to have difficult conversations directly and constructively.
• Deep, current knowledge of the AWS ML and GenAI ecosystem, with the ability to make and defend architectural decisions across the full ML lifecycle — from data and feature engineering through training, deployment, and monitoring.
• Deep expertise in at least two or three ML domains — whether classical ML, computer vision, NLP, time series, or others — combined with the judgment to assess, architect, and advise across the broader ML landscape.
• Proven ability to architect and govern production ML systems end-to-end, translating MLOps, LLMOps, and broader AI operations complexity into standards that engineering teams can execute and executives can act on.
• Deep expertise across foundation model adaptation — fine-tuning (LoRA, QLoRA, PEFT), alignment (RLHF, DPO), inference optimization, and distributed training — combined with RAG and agentic system design, including multi-agent architectures, MCP integration, and human-in-the-loop patterns on AWS.
• Proven ability to operate independently in complex, ambiguous customer environments — navigating competing priorities, aligning stakeholders, and translating ML tradeoffs into business risk and value for both technical and executive audiences.

Strong differentiators

• AWS Certified Machine Learning – Specialty and/or AWS Certified Solutions Architect – Professional.
• Experience shaping practice-level standards, reference architectures, and reusable ML accelerators across multiple engagements.
• Exposure to varied industries and problem types in a consulting or client-facing context.
• Deep fluency in responsible AI practices — model evaluation, bias detection, fairness frameworks, and AI governance — applied in enterprise deployments.
• Fluency in AIOps patterns — designing agentic workflows for anomaly detection, automated root cause analysis, and remediation across observability platforms — and the ability to translate AI operations outcomes into measurable business value for customers.

Technical Stack

Our practice spans a broad range of ML domains. Candidates are expected to prescribe — not just recognize — with the judgment to maximize what AWS makes possible and the experience to know how open-source tooling strengthens it.

• ML Domains: Classical ML, Computer Vision, NLP, Generative AI & LLMs, AI Agents & Autonomous Systems, Intelligent Document Processing, Video Understanding, Speech & Audio, Time Series & Forecasting, Recommender Systems, Graph ML, Reinforcement Learning, Multimodal AI
• AWS ML Platform: SageMaker, SageMaker Pipelines, SageMaker Feature Store, SageMaker Model Registry, SageMaker Clarify, Bedrock (Agents, Knowledge Bases, Guardrails, AgentCore, Model Evaluation)
• Multi-provider LLM: Bedrock, Anthropic API, OpenAI API, Google Gemini API, Azure OpenAI — with the judgment to reason across provider tradeoffs in enterprise contexts
• AWS AI Services: Rekognition, Comprehend, Transcribe, Textract, Translate, Personalize, Neptune, Kinesis Video Streams, Polly
• Data Platform: Apache Spark / PySpark, Apache Kafka, Amazon Kinesis, Apache Iceberg, Delta Lake, Apache Hudi, AWS Glue
• Vector Databases: Pinecone, pgvector, Amazon OpenSearch (vector), Weaviate
• Frameworks: PyTorch, TensorFlow, JAX, Scikit-learn, XGBoost, HuggingFace (Transformers, PEFT, TRL), LangChain, LlamaIndex, DSPy, Ollama
• MLOps & Governance: MLflow, W&B, Airflow / MWAA (data orchestration), Dagster (asset-based pipelines), Kubeflow Pipelines, CI/CD, IaC (CloudFormation, CDK, Terraform), Docker, Kubernetes, ML Governance (lineage, data contracts, audit), Responsible AI / Bias & Fairness
• LLM Evaluation & Safety: RAGAS, LLM-as-judge patterns, DeepEval, NeMo Guardrails, Constitutional AI patterns, structured output validation
• Inference & Optimization: Triton, vLLM, SGLang, Trainium, Inferentia, Quantization (GPTQ, AWQ, bitsandbytes), SageMaker Neo

Benefits

• 100% remote work
• Medical Insurance for you and eligible dependents
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

The Mission

We are seeking an exceptional Machine Learning Architect to join our growing Cloud Native Applications team. The right candidate is someone who has deep expertise in ML system design and is passionate about working with our customers, partners, and colleagues to drive innovation forward. Your mission will be to work alongside Caylent’s Engineers, Engineering Managers, and Project Managers to deliver AWS solutions across our diverse and forward-thinking customer base. You’ll work with the latest technologies and support customers looking to bring cutting-edge ideas to market.

Your Assignment

• You will be a mission control specialist, guiding Cayliens and Customers alike through Agile ceremonies like stand-ups, retrospectives, and more.
• You will translate customer requirements and into a workable backlog of tickets for engineers.
• Delegate tickets to a team of engineers in order to complete customer projects.
• Lead requirements gathering, backlog grooming, and architecture discussions.
• Apply your understanding of DevOps pipelines, including build automation, branching strategies, CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting.
• Troubleshoot and resolve issues in customer dev, test, and production environments.
• Automate software testing at multiple levels (component, configuration item, subsystem, system) and monitor results.
• Write production quality code, including unit and integration tests. 
• Work with a team to deliver top-quality cloud native applications on AWS for customers.
• Clearly communicate and document your designs, processes, and procedures.
• You will demonstrate a passion to Stay Curious as you mentor peers, tackle new technologies, and learn from our word-class team of engineers.
• Coach and mentor less experienced teammates, coach and be mentored by world class engineers.

Your Qualifications

Core Consulting Qualifications 

Customer Experience 

• Confidently addresses client questions and identifies gaps in requirements with  proposed next steps. 
• Focus on delivering clear, actionable solutions that meet client goals

Collaboration 

• Facilitates alignment across stakeholders or technical priorities and deliverables.
• Navigates differing perspectives with professionalism to ensure shared understanding  and progress. 

Communication 

• Breaks down complex technical concepts for non-technical audiences in a clear, concise  manner. 
• Adapts communication style based on audience and context to improve clarity and decision-making. 

Technical Qualifications

• Experience with IaC tools (CloudFormation, CDK, Terraform).
• Expert level experience in Amazon SageMaker and ML libraries (TensorFlow, MXNet, PyTorch, Scikit-learn).
• Strong understanding of ML concepts: feature engineering, hyperparameter tuning, optimization strategies.
• Familiarity with MLOps tools (MLflow, Neptune, Comet).

Benefits 

• 100% remote work
• Medical Insurance for you and eligible dependents
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

This role may require up to 25% travel, depending on business needs.

Professional proficiency in written and spoken English is required, including for resume submission and interviews.

Who You Will Be Working With

As an Lead Software Engineer at PMG, you’ll join a dynamic team that thrives on collaboration, creativity, and innovation. Our team develops Alli, a cloud-based suite of AI-powered tools that revolutionize digital marketing for some of the world’s most iconic brands. Last year, Alli powered campaigns reaching over 1 billion consumers across 80+ countries, delivering exceptional results that make a meaningful impact on our clients’ businesses.

You’ll work across one of Alli’s key pillars—Actions, Data, or Insights—collaborating with cross-functional teams to solve challenging problems and build scalable, AI-driven solutions. Your work will directly contribute to enhancing PMG’s platform, enabling brands to connect with their audiences in innovative and impactful ways.

This is a place for builders and problem-solvers who love to tackle the challenges of tomorrow. At PMG, your work won’t just live in a prototype—it will ship, making an immediate difference in the world of digital marketing.

What You’ll Be Doing

• Leading the design, development, and deployment of innovative, scalable features within the Alli suite of applications.
• Drafting and implementing architectural designs to produce reliable, complex, and highly scalable technical solutions.
• Working closely with Product Managers, Designers, and cross-functional teams to integrate AI-driven solutions that improve performance and drive business outcomes.
• Building scalable products that drive measurable results for our clients.
• Fostering a culture of collaboration and innovation by mentoring junior and mid-level engineers and promoting development best practices.
• Conducting coding, debugging, testing, and troubleshooting across the application development lifecycle.
• Conducting code reviews and providing fellow backend engineers critical feedback to ensure high-quality, maintainable code across Alli.
• Pioneering development in state-of-the-art technologies that transform the marketing technology space.

What You Will Bring

• 5+ years of backend development experience with NodeJS or Python or Go and a strong focus on building scalable, high-performance systems, or a related field, with a bachelor’s or master’s degree or equivalent experience. We are also open to Frontend specific experience.
• 3+ years working with modern backend frameworks such as ExpressJS, Django or Flask.
• Proven experience designing and integrating RESTful APIs and microservices architectures.
• Hands-on experience working across all stages of software development, including requirements, design, coding, testing, implementation, and support.
• Experience mentoring and guiding engineers to achieve technical excellence.
• Advanced skills in working with databases such as PostgreSQL, MongoDB, Redis, or MySQL, including query optimization and schema design.
• Familiarity with AI technologies like OpenAI, Bedrock, Vertex, and LangChain to explore and implement innovative backend solutions.
• Experience with version control tools like Git and CI/CD pipelines to automate testing and deployments.
• Knowledge of infrastructure-as-code tools such as Terraform or Ansible to manage infrastructure efficiently.
• Hands-on experience with containerization tools like Docker and Kubernetes for deploying and managing distributed systems.
• Strong expertise in monitoring tools such as Grafana, Prometheus, or ELK Stack for performance optimization and issue resolution.
• Strong written and verbal communication skills to collaborate effectively across cross-functional teams.
• A proactive, solution-oriented mindset with a passion for creating reliable and impactful backend systems.

Nice To Have Qualifications

• Interest or familiarity working in the Digital Marketing industry
• AWS Certifications

Professional proficiency in written and spoken English is required, including for resume submission and interviews.

Who You Will Be Working With

As the AI & Software Engineering Senior Manager, you’ll work within Alli, our proprietary digital marketing platform. This group is dedicated to building organizational tools that help orchestrate multimillion-dollar budgets and enable seamless collaboration across globally integrated teams, supporting some of the world’s most recognizable brands.

In this role, you’ll work alongside engineers, product managers, and designers who thrive on tackling challenging problems and building innovative solutions. Together, you’ll leverage AI-powered tools and cutting-edge technology to transform how digital marketing strategies are developed and executed. This team doesn’t just dream up ideas—we bring them to life, delivering real-world impact for our clients and the industry at large.

Our collaborative and fast-paced environment fosters creativity, growth, and innovation. You’ll play a critical role in defining the technical vision and roadmap, driving solutions to complex challenges like data unification, AI-driven automation, and scalable system design. This is an opportunity to lead with purpose, inspire your team, and contribute to a product that’s shaping the future of digital marketing.

What You’ll Be Doing

• Define and manage a multi-year product roadmap in collaboration with Product Managers and Designers to create transformative products.
• Drive innovative projects with a high impact on the media and advertising industry.
• Build and oversee the implementation of complex data integrations via APIs and other common methods.
• Design and manage highly scalable technical solutions, ensuring architectural excellence and cutting-edge performance.
• Conduct code reviews, mentor junior engineers, and provide constructive feedback to help grow your team’s technical expertise.
• Collaborate closely with cross-functional Data & Tech teams to integrate solutions across Alli.
• Champion agile methodologies, maintaining high team productivity and fostering a collaborative, inclusive culture.
• Work within a dynamic environment that embraces short decision-making processes and empowers innovation.

What You Will Bring

• 6+ years of hands-on experience as a software engineer working across the entire SDLC.
• 3+ years leading and managing a team of 5–10 highly skilled developers in an agile SCRUM environment.
• 2+ years working with the MERN stack (MongoDB, Express.js, React, Node.js) or a similar skill set.
• 3+ years of experience working within AWS cloud environments using ECS, Fargate, Lambdas, SQS, Postgres and other similar technologies
• Familiarity with infrastructure-as-code tools such as Terraform, Ansible, Chef, or Puppet to streamline deployments.
• Experience or interest in Generative AI, Large Language Models (LLMs), and platforms like OpenAI, Gemini, Bedrock, or LangChain.
• Experience building a team from the ground up

• Proficiency in automated testing, code reviews, clean code principles, and refactoring strategies to ensure high-quality code.
• Hands-on experience building and scaling RESTful APIs for robust and efficient systems.
• Proficiency in Docker or Kubernetes, with experience managing configurations in containerized environments.

• A commitment to curiosity and adaptability as a continual learner, staying at the forefront of media innovation while prioritizing client success with a customer-focused mindset that seeks opportunities to deliver meaningful value.

We are looking for a hands-on Senior Data Engineer to join a small team (2 Data Engineers + 1 Data Analyst). You will help scale our AWS-based data infrastructure, working primarily with industrial data sources and high-volume time-series data.

Responsibilities Will Include:  

• Engage directly with end users to understand how they consume data, and design solutions that serve their needs.
• Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time processing, including high-frequency time-series ingestion.
• Evolve the Data Lakehouse—optimizing storage, performance, and data consistency.
• Manage orchestration workflows with complex dependencies and error handling.
• Implement data governance, security controls, and audit policies across the AWS ecosystem, leveraging services such as AWS Lake Formation for centralized data lake permissions and governance.
• Optimize performance and cost (FinOps); identify and resolve technical bottlenecks.
• Partner with the Data Analyst to deliver production-ready, analytics-optimized datasets.
• Build monitoring, alerting, and data quality testing for platform reliability.

Requirements:

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related discipline is required.
• At a minimum, 5+ years of experience in Data Engineering, Analytics Engineering, or related roles.
• Deep hands-on experience with core AWS data services: Glue, Athena, Step Functions, Lambda, Kinesis, and Lake Formation.
• Hands-on experience with Apache Iceberg (required).
• Expert proficiency in Python (PySpark / Python Shell) and advanced SQL (window functions, CTEs, execution plan tuning).
• Solid grasp of ETL/ELT tooling and dimensional modeling best practices (Kimball).
• Experience preparing data architectures for visualization tools and operational/management reporting.
• Practical experience with NoSQL engines (e.g., DynamoDB) and relational SQL databases.
• Infrastructure as Code: Terraform or AWS CloudFormation.

Preferred Experience:

• Apache Airflow (MWAA experience preferred) or native AWS orchestration.
• Familiarity with dbt, Airbyte, or Fivetran.
• Experience automating CI/CD for Glue jobs or Lambda deployments.

Soft Skills:

• Senior peer mindset—leads through code reviews and mentorship, not hierarchy.
• Pragmatic decision-maker who picks the right tool for cost, efficiency, and project needs.
• Strong ownership of end-to-end data quality and system availability.
• Clear communicator who can translate business needs into technical solutions. 

Perfil: Desarrollador Cloud

Rol: Desarrollador

Nivel: STD – SR

Experiencia

Años de experiencia:

• 3 o más años de experiencia como Desarrollador/a Cloud (Multi‑Nube) con IA/ML y DevOps.

Escolaridad

• Licenciatura o Ingeniería en:
• Sistemas
• Computación
• Matemáticas
• Física
• Carrera afín
• (O experiencia equivalente comprobable)

Modalidad y Condiciones de Trabajo

• Modalidad de trabajo: Híbrido
• Días en oficina: 2 veces por semana
• Horario: Lunes a viernes, 9:00 a.m. a 6:00 p.m.
• Ubicación: CDMX
• Dirección de sede: Polanco / Reforma

Objetivo del Puesto

Diseñar, construir y operar aplicaciones y servicios escalables en entornos multi‑nube (AWS, GCP y/o Azure), integrando desarrollo backend, prácticas DevOps/MLOps e implementación de modelos de IA/ML en entornos productivos, asegurando calidad, seguridad, observabilidad y eficiencia operativa.

Certificaciones Recomendadas

Google Cloud Platform

• Google Professional Cloud Developer
• Google Professional Cloud Architect (deseable para perfil SR)
• Google Professional Machine Learning Engineer
• Google Associate Cloud Engineer

Amazon Web Services (AWS)

• AWS Certified Developer – Associate
• AWS Certified Solutions Architect – Associate
• AWS Certified Machine Learning – Specialty (altamente alineada a IA/ML)
• AWS DevOps Engineer – Professional (deseable para perfil SR)

Microsoft Azure

• Microsoft Certified: Azure Developer Associate (AZ‑204)
• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: Azure DevOps Engineer Expert

Machine Learning

• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning – Specialty
• Azure Data Scientist Associate
• TensorFlow Developer Certificate
• IBM AI Engineering Professional Certificate

Idioma

• Inglés técnico (deseable)

Habilidades Blandas

• Trabajo en equipo
• Autogestión
• Perfil autodidacta
• Comunicación efectiva
• Resolución de problemas
• Adaptabilidad
• Proactividad
• Pensamiento analítico

Requisitos Técnicos

Versionador e Integrador de Código

• Git
• GitHub Actions / GitLab CI
• Cloud Build / Cloud Deploy (GCP)
• CodeBuild / CodePipeline (AWS)
• Azure DevOps Pipelines

Lenguajes de Programación

• Python
• Node.js
• TypeScript (deseable)
• SQL
• YAML (pipelines / Infraestructura como Código)

Sistemas Operativos

• Linux (principal)
• Windows
• macOS

Manejadores de Bases de Datos

• Cloud SQL
• Amazon RDS
• Azure SQL
• BigQuery
• Bases de datos relacionales y analíticas
• Almacenamiento de objetos:
• Amazon S3
• Google Cloud Storage
• Azure Blob Storage

Frameworks de Desarrollo

Backend

• Express
• Fastify (Node.js)

IA / ML

• scikit-learn
• TensorFlow / Keras
• PyTorch

NLP

• spaCy
• NLTK
• Hugging Face Transformers (deseable)

IDE

• Visual Studio Code
• IDEs compatibles con Python y Node.js

Herramientas

• Docker
• Kubernetes (GKE / EKS / AKS)
• Helm
• Terraform
• MLflow / DVC
• Postman (pruebas de APIs)
• Prometheus / Grafana
• OpenTelemetry

Plataformas Cloud

• Google Cloud Platform (principal)
• Amazon Web Services (deseable)
• Microsoft Azure (deseable)

Asistentes de IA

• No especificados explícitamente
• (Uso implícito de frameworks y plataformas de IA/ML)

Conocimiento del Negocio

Marcos o Metodologías de Trabajo

• Metodología Ágil
• Scrum

Herramientas para Seguimiento y Control de Proyectos

• Gestión de backlog (herramientas ágiles no especificadas)
• Métricas ágiles:
• Velocity
• Lead Time
• Tableros de observabilidad
• Definición y seguimiento de SLO / SLI

Esquema de Trabajo

• Asignación a proyectos
• Desarrollo y operación de productos digitales
• (No esquema de fábrica de software)

Tipo de Asignación

• Proyectos
• Operación
• Soporte productivo
• Mejora continua

Tipo de Proyecto

• Ágil

Industria

• Banca / Servicios Financieros

Tecnología

• Cloud Computing
• Inteligencia Artificial / Data

Technical Support Engineer 

Mexico City Office - Hybrid: 4 days in the office, 1 day working from home

We are seeking a talented Technical Support Engineer to become an integral part of our support engineering team. In this role, you will collaborate with a group of specialists, providing comprehensive support across all areas of our business.  

Why Ebury?  

• High-Performance, High-Growth Environment: Be part of a dynamic and rapidly growing company that values impact and rewards results.  
• Focus on Excellence: We are committed to becoming a world-class organization and are looking for individuals who share our passion for delivering exceptional work.  
• Personal Responsibility and Freedom: We empower our employees to take ownership of their work and make a real difference.  
• Collaborative and Inclusive Culture: We value diversity, promote inclusion, and foster a positive work environment where everyone feels respected and supported.  
• Continuous Growth and Development: Benefit from our career map, regular  reviews, and training opportunities to advance your career and reach your full potential.

What you will do:  

• Troubleshoot applications, services, and infrastructure issues reported by end-users of the systems developed by our engineering teams.  
• Verify and document issues and bugs for accurate tracking and escalation.  
• Manage incidents, including communication with stakeholders and coordination with development teams.  
• Collaborate with Software Engineering teams to establish support workflows and monitoring plans for new products and projects.  
• Partner with trusted vendors to resolve service events.  
• Work with software development engineers to enhance processes and conduct code reviews.  
• Work on a collaborative rotation (shifts) to cover support on different time zones.  
• Perform (out of hours) on-call on a rotating basis to address high-severity incidents and critical issues.  

What we expect from you:  

• Experience providing Level 2 (L2) support in a tech-driven business environment. 
• Proficient problem-solving skills and strong technical troubleshooting abilities.
• Software development experience, particularly with Python.  
• A strong desire to identify and resolve root causes, systematically preventing issues from recurring by collaborating with code owners.  
• Excellent written and interpersonal communication skills, along with a willingness to uphold Ebury's values.  
• English proficiency is required.
  Nice to have:  
• Familiarity with AWS and/or Google Cloud, and Linux administration is a plus.  
• Knowledge of Spanish or Portuguese is a bonus.  
• Additional valuable skills and knowledge include Salesforce Administration, Agile methodologies, Continuous Integration, Frontend Development (HTML,  CSS, and JavaScript), PostgreSQL, Terraform, and Observability.  

Not feeling like you meet all the requirements? That’s OK! No one fits a job description perfectly, and there are no perfect candidates.

Ready to launch your career with a global FinTech? Click the ‘Apply’ Today and discover your potential at Ebury!

You can also connect with me on LinkedIn - Rafaela Procópio

At Ebury Bank we value diversity in all its forms and are committed to creating an inclusive environment. All of our vacancies are open and eligible for people with disabilities.

#LI-RP1
#LI-HYBRID

Technical Operations Engineer 

Mexico City Office - Hybrid: 4 days in the office, 1 day working from home

We are seeking a talented Technical Support Engineer to become an integral part of our support engineering team. In this role, you will collaborate with a group of specialists, providing comprehensive support across all areas of our business.  

Why Ebury?  

• High-Performance, High-Growth Environment: Be part of a dynamic and rapidly growing company that values impact and rewards results.  
• Focus on Excellence: We are committed to becoming a world-class organization and are looking for individuals who share our passion for delivering exceptional work.  
• Personal Responsibility and Freedom: We empower our employees to take ownership of their work and make a real difference.  
• Collaborative and Inclusive Culture: We value diversity, promote inclusion, and foster a positive work environment where everyone feels respected and supported.  
• Continuous Growth and Development: Benefit from our career map, regular  reviews, and training opportunities to advance your career and reach your full potential.

What you will do:  

• Troubleshoot applications, services, and infrastructure issues reported by end-users of the systems developed by our engineering teams.  
• Verify and document issues and bugs for accurate tracking and escalation.  
• Manage incidents, including communication with stakeholders and coordination with development teams.  
• Collaborate with Software Engineering teams to establish support workflows and monitoring plans for new products and projects.  
• Partner with trusted vendors to resolve service events.  
• Work with software development engineers to enhance processes and conduct code reviews.  
• Work on a collaborative rotation (shifts) to cover support on different time zones.  
• Perform (out of hours) on-call on a rotating basis to address high-severity incidents and critical issues.  

What we expect from you:  

• Experience providing Level 2 (L2) support in a tech-driven business environment. 
• Proficient problem-solving skills and strong technical troubleshooting abilities.
• Software development experience, particularly with Python.  
• A strong desire to identify and resolve root causes, systematically preventing issues from recurring by collaborating with code owners.  
• Excellent written and interpersonal communication skills, along with a willingness to uphold Ebury's values.  
• English proficiency is required.
  Nice to have:  
• Familiarity with AWS and/or Google Cloud, and Linux administration is a plus.  
• Knowledge of Spanish or Portuguese is a bonus.  
• Additional valuable skills and knowledge include Salesforce Administration, Agile methodologies, Continuous Integration, Frontend Development (HTML,  CSS, and JavaScript), PostgreSQL, Terraform, and Observability.  

Not feeling like you meet all the requirements? That’s OK! No one fits a job description perfectly, and there are no perfect candidates.

Ready to launch your career with a global FinTech? Click the ‘Apply’ Today and discover your potential at Ebury!

You can also connect with me on LinkedIn - Rafaela Procópio

At Ebury Bank we value diversity in all its forms and are committed to creating an inclusive environment. All of our vacancies are open and eligible for people with disabilities.

#LI-RP1
#LI-HYBRID

Who We Are

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

About Gen-e2

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with a strong collaboration between AI generative and our best talents:

• We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot
• The quality consistently exceeds the output of our best traditional engineering teams
• A product repository houses all product artefacts, giving AI full project context for higher-quality generation
• A library of rules and prompts defines coding standards, design principles, and security guidelines

With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Your Role

As a Senior .NET Backend Engineer, you are a true senior profile with the autonomy and technical depth to not only execute but also design and propose scalable solutions in complex environments.

• Design and develop scalable, secure, and high-performance backend systems using .NET (C#) and ASP.NET Core.
• Build and maintain microservices architectures and RESTful APIs with a strong focus on scalability and resilience.
• Design and implement event-driven architectures using messaging systems such as Azure Service Bus, Kafka, or RabbitMQ.
• Apply advanced resilience and integration patterns such as: Outbox / Inbox, Circuit Breaker
• Model and optimize data access using: Relational databases (SQL Server, PostgreSQL), NoSQL databases (Redis, MongoDB) when relevant
• Implement caching strategies (Redis) to enhance performance and scalability.
• Apply Clean Architecture, SOLID principles, and contribute to Domain-Driven Design (DDD) practices.
• Ensure high standards in security and quality, including: OAuth2 / JWT authentication, Prevention of vulnerabilities (e.g., SQL Injection)
• Contribute to DevOps practices: CI/CD pipelines (Azure DevOps), Containerization (Docker), Infrastructure as Code (Terraform, plus), Deployment and orchestration using Kubernetes
• Ensure system reliability through testing strategies (unit and integration), observability, and monitoring (Application Insights, OpenTelemetry).
• Participate in technical decision-making, architecture definition, and product roadmap discussions.
• Conduct code reviews, refactoring, and performance optimization to maintain high-quality standards.
• Collaborate with distributed teams and mentor junior developers, fostering engineering excellence.

Who You Are

• You have 5–6+ years of true Senior experience in backend development with .NET (C#) and ASP.NET Core.
• You have strong hands-on experience in: Microservices architectures, Event-driven systems and messaging
• You have practical experience implementing patterns such as: Outbox / Inbox, Circuit Breaker
• You have solid experience with: Kubernetes, Relational databases (SQL Server / PostgreSQL), Git version control
• You demonstrate strong knowledge of: Backend security (OAuth2, JWT), Vulnerability prevention (e.g., SQL Injection)
• You are able to propose solutions and take ownership, not just execute tasks.
• You have strong analytical and problem-solving skills, with a hands-on mindset.
• You are comfortable working in distributed teams and collaborating cross-functionally.

Nice to have:

• Experience with NoSQL databases (Redis, MongoDB), especially for caching
• Knowledge of Clean Architecture and DDD
• Experience with Azure cloud environment
• Familiarity with: Azure DevOps (CI/CD), Terraform (Infrastructure as Code)
• Exposure to AI tools (e.g., ChatGPT, Copilot)

Soft Skills

• Strong system thinking and sound technical judgment.
• Ability to prioritize, estimate, and deliver effectively in fast-paced environments.
• Collaborative mindset with mentoring and knowledge-sharing capabilities.
• Strong focus on quality, resilience, and continuous improvement.

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company
• Deliver projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification across all offices
• Continuously measure & improve employee happiness

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training
• Entrepreneurship & intrapreneurship

Note: This isn’t an active role right now, but we’re building a community of great talent for future opportunities at Caylent. If your background aligns with what we’re looking for, our team may reach out to learn more about you and explore potential future fits.

The Mission

At Caylent, a Senior Machine Learning Engineer works as an integral part of a cross-functional delivery team to design and document machine learning solutions on the AWS cloud for our customers.  We are looking for someone that has a strong understanding of the various model types and tools, and can help our customers connect their business goals with the details of feature design, model training and inference.  You will develop solutions designed by an architect.

You will participate in daily standup meetings with your team and bi-weekly agile ceremonies with the customer.  Your manager will have a weekly 1:1 with you to help guide you in your career and make the most of your time at Caylent.

Your Assignments

• Work with a team to deliver machine learning solutions on AWS for customers
• Participate in and contribute to daily standup meetings
• Develop and implement ML models, MLOps, and analytics
• Big data processing and preparation of training data for models

Your Qualifications

• Strong experience in building ML models for real world applications
• Strong experience in at least one of these:
• AWS ML Services/SageMaker
• ML libraries like Keras, Tensorflow, PyTorch, Scikit-learn
• MLOps tools such as MLflow, Kubeflow, Airflow
• Advanced analytics using time series forecasting and/or inferential statistics
• Strong experience in one or more of these data processing solutions:
• Big data processing platforms like Spark, Hadoop, or streaming platforms
• Data processing and cleansing using Python/Pandas, PySpark, Scala, SQL
• Strong understanding of feature definition, model meta-data, hyperparameter tuning, stochastic gradient descent, deep learning layer types and activation functions
• Experience in visualization using SageMaker, ggplot, matplotlib, or seaborn
• Experience with an IaC tool such as CloudFormation, Amazon CDK or Terraform
• Excellent written and verbal communication skills

Benefits 

• 100% remote work
• Medical Insurance for you and eligible dependents
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

This role may require up to 25% travel, depending on business needs.

The Mission 

We are seeking an exceptional Principal Architect to join our growing Cloud Architecture & Engineering team. The right candidate is someone who has deep expertise in cloud architecture and is passionate about working with our customers, partners, and colleagues to drive innovation forward. Your mission will be to work alongside Caylent’s Engineers, Architects, Sales, and Project Managers to deliver AWS solutions across our diverse and forward-thinking customer base. You’ll work with the latest technologies and support customers looking to bring cutting-edge ideas to market.

Your Assignments

● Serve as a technical advisor and thought leader across multiple workstreams and strategic customer engagements.
● Collaborate with clients to understand business goals and design high-impact, cloud solutions.
● Lead discovery sessions, create and present technical artifacts, and define long-term architectural strategy.
● Guide small teams or oversee larger teams through implementation and delivery.
● Contribute to Agile ceremonies and provide architectural direction across internal and external projects.
● Create and share public-facing content that showcases Caylent’s innovation and technical leadership.
● Support pre-sales through proposal development, scoping, and technical estimation.
● Mentor Architects and Engineers across projects and practices to elevate technical execution and growth.
● Represent Caylent with delivery excellence and deep technical leadership.

Your Qualifications

Core Consulting Qualifications

Customer Experience
● Builds trust with senior stakeholders through transparency, strategic updates, and reliable delivery.
● Proactively identifies and mitigates risks that could impact customer success or project alignment.

Collaboration
● Facilitates priority alignment and conflict resolution across multi-stakeholder environments.
● Guides cross-functional teams through challenging scenarios with calm, strategic leadership.

Communication

● Handles escalations and scope-related disagreements with professionalism, clarity, and confidence.
● Remains composed in high-stakes or unexpected situations, reinforcing alignment and proposing actionable next steps.

Technical Qualifications

● 5+ years of experience as an Architect in enterprise environments, preferably in a consulting capacity.
● Ability to clearly communicate technical objectives and solutions while cultivating professional client relationships.
● Demonstrated critical and strategic thinking across business, product, and technical challenges.
● Strong expertise in serverless development using API Gateway, Lambda, S3, SNS, SQS, and CloudFront.
● Hands-on experience managing AWS environments and implementing Infrastructure-as-Code (IaC).
● Advanced experience with DevOps automation, including containerization, API management, and multi-cloud solutions.

Preferred Qualifications:

• Experience with:
  
  • Migrations
  • CI/CD practices
  • Infrastructure-as-Code (Terraform, CloudFormation, AWS CDK, Pulumi)
  • Scripting
  • Containers (Kubernetes, Docker, ECS, Fargate)
  • Cloud security best practices
  • Networking
  • Incident, release, problem, and change management
• Experience working in Agile delivery environments.

Benefits

• 100% remote work
• Medical Insurance for you and eligible dependents
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

The Opportunity

This is a senior technical client leadership role that blends deep hands-on ML expertise with strategic advisory and consulting skills. You will be the most experienced ML voice across a diverse and expanding book of customer engagements — from early-stage companies bringing ambitious ML ideas to market, to established enterprises modernizing how they build and operate AI systems on AWS.

You will shape strategy, influence architecture, and leave every team you touch better than you found it. You bring the scientific depth to design and evaluate models rigorously, the engineering depth to architect production ML systems at scale, and the consulting instincts to translate both into business value for customers.

If you have led the hard conversations, shaped the architecture decisions that mattered, and built the things others benchmark against — and you are looking to do that across a growing portfolio of varied and interesting customers — this is the role for you.

What You'll Do

• Lead end-to-end ML assessments across infrastructure, data pipelines, model lifecycle, and organizational readiness — producing recommendations that drive executive decision-making and earn Caylent the next engagement.
• Partner with sales and solutions teams through the proposal and scoping phase, contributing the technical depth needed to shape well-grounded statements of work.
• Serve as the senior technical authority on client engagements — possibly across multiple projects simultaneously — providing architectural guidance, ensuring technical quality from your project team members, and getting hands-on when the engagement demands it, without owning day-to-day implementation responsibilities.
• Own or orchestrate high-quality POCs that give customers confidence before committing to a larger initiative.
• Advise customers on ML operations standards and architecture — covering MLOps pipeline design, model lifecycle management, LLMOps patterns, and production monitoring frameworks — translating operational complexity into decisions and guardrails their teams can own and sustain.
• Shape how Caylent wins its most technically complex opportunities — contributing the architectural thinking and credibility that turns prospects into customers.
• Strengthen the ML practice from the inside — through peer guidance, technical interviews, and contributions to accelerators, reference architectures, and thought leadership content.

What You Bring

The non-negotiables

• 10+ years in machine learning or AI, with a proven track record of leading client-facing engagements in a consulting or advisory capacity.
• Deep, current knowledge of the AWS ML and GenAI ecosystem, with the ability to make and defend architectural decisions across the full ML lifecycle — from data and feature engineering through training, deployment, and monitoring.
• Deep expertise in at least two or three ML domains — whether traditional ML, computer vision, NLP, time series, or others — combined with the judgment to assess, architect, and advise across the broader ML landscape.
• Proven ability to architect and govern production ML systems end-to-end, translating MLOps, LLMOps, and broader AI operations complexity into standards and decisions that engineering teams can execute and executives can act on.
• Deep expertise across foundation model adaptation — fine-tuning (LoRA, QLoRA, PEFT), alignment (RLHF, DPO), inference optimization (quantization, vLLM), and distributed training (DeepSpeed, FSDP) — combined with RAG and agentic system design, including multi-agent architectures, event-driven workflows, MCP integration, and human-in-the-loop patterns on AWS. Technical authority to prescribe the right approach and set architectural standards that teams can execute against.
• Proven ability to operate independently in complex customer environments — navigating ambiguity, aligning stakeholders, and translating ML tradeoffs into business risk and value for both technical and executive audiences.

Strong differentiators

• AWS Certified Machine Learning – Specialty and/or AWS Certified Solutions Architect – Professional.
• Experience shaping practice-level standards, reference architectures, and reusable ML accelerators across multiple engagements.
• Exposure to varied industries and problem types in a consulting or client-facing context.
• Deep fluency in responsible AI practices — model evaluation, bias detection, fairness frameworks, and AI governance — applied in enterprise deployments.
• Hands-on experience designing and deploying SRE agents and AI-driven operations workflows in production — spanning automated incident detection, triage, and remediation — with the ability to integrate across observability platforms and translate AI operations outcomes into measurable business value.

Technical Stack

Our practice spans a broad range of ML domains. Candidates are expected to prescribe — not just recognize — with the judgment to maximize what AWS makes possible and the experience to know how open-source tooling strengthens it.

ML Domains: Classical ML, Computer Vision, NLP, Generative AI & LLMs, AI Agents & Autonomous Systems, Intelligent Document Processing, Video Understanding, Speech & Audio, Time Series & Forecasting, Recommender Systems, Graph ML, Reinforcement Learning, Multimodal AI

AWS ML Platform: SageMaker, SageMaker Pipelines, SageMaker Feature Store, SageMaker Model Registry, SageMaker Clarify, Bedrock (Agents, Knowledge Bases, Guardrails, AgentCore, Model Evaluation)

Multi-provider LLM: Bedrock, Anthropic API, OpenAI API, Google Gemini API, Azure OpenAI — with the judgment to reason across provider tradeoffs in enterprise contexts

AWS AI Services: Rekognition, Comprehend, Transcribe, Textract, Translate, Personalize, Neptune, Kinesis Video Streams, Polly

Data Platform: Apache Spark / PySpark, Apache Kafka, Amazon Kinesis, Apache Iceberg, Delta Lake, Apache Hudi, AWS Glue

Vector Databases: Pinecone, pgvector, Amazon OpenSearch (vector), Weaviate

Frameworks: PyTorch, TensorFlow, JAX, Scikit-learn, XGBoost, HuggingFace (Transformers, PEFT, TRL), LangChain, LlamaIndex, DSPy, Ollama

MLOps & Governance: MLflow, W&B, Airflow / MWAA (data orchestration), Dagster (asset-based pipelines), Kubeflow Pipelines, CI/CD, IaC (CloudFormation, CDK, Terraform), Docker, Kubernetes, ML Governance (lineage, data contracts, audit), Responsible AI / Bias & Fairness

LLM Evaluation & Safety: RAGAS, LLM-as-judge patterns, DeepEval, NeMo Guardrails, Constitutional AI patterns, structured output validation

Inference & Optimization: Triton, vLLM, SGLang, Trainium, Inferentia, Quantization (GPTQ, AWQ, bitsandbytes), SageMaker Neo

Benefits

The Mission

We are seeking an exceptional Software Architect to join our growing Cloud Native Applications team. The right candidate is someone who has deep expertise in application design and  is passionate about working with our customers, partners, and colleagues to drive innovation forward.
Your mission will be to work alongside Caylent’s Engineers, Architects, Sales, and Project Managers to deliver AWS solutions across our diverse and forward-thinking customer base. You’ll work with the latest technologies and support customers looking to bring cutting-edge ideas to market.

Your Assignment

• You will be a mission control specialist, guiding Cayliens and Customers alike through Agile ceremonies like stand-ups, retrospectives, and more.
• You will translate customer requirements and into a workable backlog of tickets for engineers.
• Delegate tickets to a team of engineers in order to complete customer projects.
• Lead requirements gathering, backlog grooming, and architecture discussions.
• Apply your understanding of DevOps pipelines, including build automation, branching strategies, CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting.
• Troubleshoot and resolve issues in customer dev, test, and production environments.
• Automate software testing at multiple levels (component, configuration item, subsystem, system) and monitor results.
• Write production quality code, including unit and integration tests.
• Work with a team to deliver top-quality cloud native applications on AWS for customers.
• Clearly communicate and document your designs, processes, and procedures.
• You will demonstrate a passion to Stay Curious as you mentor peers, tackle new technologies, and learn from our word-class team of engineers.
• Coach and mentor less experienced teammates, coach and be mentored by world class engineers.

Your Qualifications

Core Consulting Qualifications

Customer Experience
● Confidently addresses client questions and identifies gaps in requirements with proposed next steps.
● Focus on delivering clear, actionable solutions that meet client goals

Collaboration
● Facilitates alignment across stakeholders or technical priorities and deliverables.
● Navigates differing perspectives with professionalism to ensure shared understanding and progress..

Communication
●Breaks down complex technical concepts for non-technical audiences in a clear, concise manner.
● Adapts communication style based on audience and context to improve clarity and decision-making.

Technical Qualifications

● 5+ years of proven experience in software development and cloud-native systems.
● Strong background in established engineering practices and scalable architectures.
● Expertise in web technologies (HTML, CSS) and frameworks (React, Vue, Angular, MVC .Net, etc.).
● Proficiency in server-side scripting (Python, Node.js, PHP, Ruby, etc.).
● Deep knowledge of relational and NoSQL databases (PostgreSQL, MySQL, MongoDB).
● Experience in API integrations across applications, vendors, and cloud environments.
● Understanding of modern application architectures (event-based systems, queues, microservices).
● Development experience on a major cloud platform (AWS, Azure, or GCP).
● Desire to integrate innovative technologies into development workflow
● Familiarity with Generative AI technologies
● Proven ability to lead a workstream and support others while contributing individually.
● Experience configuring AWS resources.

Preferred Qualifications

● BS in a computing-related field, or commensurate experience.
● Experience with testing and automation.
● Experience with UI/UX.
● Experience with Large Language Models (LLM) and Generative AI
● Experience with app dev acceleration tools like Amazon Q Developer, GitHub CoPilot, Cursor.AI, or similar.
● Experience building and maintaining CI/CD pipelines.
● Experience with infrastructure as code tooling (SAM, Cloudformation, Terraform, etc).

Benefits

• 100% remote work
• Medical Insurance for you and eligible dependents
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

This role may require up to 25% travel, depending on business needs.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Department

Platform Engineering

Who You Are

You are a tooling-focused engineer who obsesses over developer productivity. You’ve built and maintained CI/CD pipelines, developer tooling, and automation that makes engineering teams faster. You understand that the best developer tools disappear into the background - they just work. You’re equally comfortable debugging a flaky GitHub Actions workflow and designing a new internal CLI. You care deeply about reducing friction and cognitive load for your fellow engineers.

This is a foundational role. You’ll be one of the first dedicated engineers on a platform organization supporting 300+ engineers. You’ll shape not just the technical foundations but the culture and practices of the team.

Your Success Profile

What You Will Work On

• Own and evolve CI/CD infrastructure (GitHub Actions, deployment pipelines) to improve build times and deployment frequency
• Build and maintain our developer portal (Backstage) - service catalog, golden path templates, and TechDocs integration
• Create golden path templates for Go, Rails, and Vue.js services that bake in best practices automatically
• Build and maintain internal developer tooling that accelerates engineering workflows
• Configure and roll out AI-assisted coding tools (Claude Code, GitHub Copilot) with organizational guardrails
• Create self-service capabilities that enable teams to ship independently - from “I need a new service” to running in staging in under 4 hours
• Drive adoption of platform capabilities through excellent documentation and developer education
• Work with our SRE team to instrument and measure developer experience metrics (build times, deploy frequency, MTTR) to identify improvement opportunities
• Implement security and compliance automation that protects without slowing teams down

How You Will Do Your Work

As a Senior Developer Experience Engineer, how results are achieved is paramount for your success and ultimately results in our success as an organization. In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following:

Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.

Resourcefulness - taking a can-do approach, even in the face of obstacles and constraints by assessing what’s in front of you and effectively and efficiently optimizing what you have, whether it’s working on something new or thinking about how to do something better.

Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism.

Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking.

Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.

In addition, all team members focus on aligning their behaviors to our core values known as COGIS:

• Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
• Openness - Your default is to be open. You’re willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
• Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
• Integrity - Simply put, do what you say and say what you’ll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example.
• Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Qualifications

• 5+ years of professional software engineering experience
• 3+ years of experience building developer tooling, CI/CD systems, or infrastructure automation
• Hands-on experience with CI/CD platforms (GitHub Actions strongly preferred)
• Experience with developer portals or internal platform tooling (Backstage strongly preferred; Cortex, Port, or similar also valuable)
• Experience with Kubernetes deployments and container orchestration
• Proficiency in at least two programming languages; polyglot mindset valued
• Frontend development skills - you’ll be building portal UI and developer-facing tools
• Strong systems thinking and ability to design for scale and reliability
• Excellent written communication - you document as you build

Nice to Have

• Experience with Infrastructure as Code (Terraform, CDK, or similar)
• Experience with feature management systems (LaunchDarkly, Split, etc.)
• Familiarity with workflow engines (Temporal, etc.)
• Background in developer productivity metrics and measurement
• Experience configuring or rolling out AI coding assistants (Copilot, Claude Code, Cursor)

Technologies

• CI/CD: GitHub Actions, CircleCI
• Infrastructure: Terraform, AWS, Kubernetes, Docker
• Languages: Go (primary), Python, TypeScript, Ruby - whatever fits the problem
• Platforms: Developer portals, feature flagging systems, workflow engines
• Observability: DataDog, CloudWatch

The base wage range for this position based in our New York City Office is targeted at $167,500.00 - $211,500.00 per year.

#LI-DG2 #LI-Hybrid

About Goods & Services
  
Goods & Services is a product design and engineering company. 

We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services. Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size. 

Headquartered in the United States, we operate regional development centers in Mexico and the United Kingdom. This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect.

About the job
  

Goods & Services is looking for a Senior Full Stack Software Engineer In Java who will be responsible for designing and implementing scalable serverless architectures, primarily using Java and TypeScript within an AWS ecosystem. This engineer will also play a key role in building responsive, modern user interfaces using Vue and React.

What you’ll do:

• Design, develop, and deploy production-grade serverless functions using AWS Lambda.
• Architect and maintain scalable microservices and APIs using Java and TypeScript.
• Build and maintain high-performance web applications, leveraging both Vue and React depending on project requirements.
• Manage and optimize AWS cloud resources to ensure high availability and security.
• Work closely with cross-functional teams to translate complex business requirements into technical specifications.
• Drive best practices in unit testing, CI/CD, and documentation to ensure a reliable and maintainable codebase.

What you’ll need:

• Extensive experience in backend development, specifically with modern Java frameworks and design patterns.
• Deep expertise in the AWS suite, with a specific focus on AWS Lambda, API Gateway, and S3.
• Proficiency in TypeScript for serverless application development and backend logic.
• Strong professional experience in Vue.js or React, with the ability to work interchangeably across both to build dynamic SPAs (Single Page Applications).
• Expert knowledge of HTML5, CSS3, and modern JavaScript (ES6+).
• Experience with Serverless Framework or AWS SAM.
• Solid understanding of RESTful API design and/or GraphQL.
• Familiarity with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB).
• Experience with Git-based version control and CI/CD pipelines.

Preferred:

• Certified as AWS Developer or AWS Solutions Architect.
• Experience with IaC (Terraform or AWS CDK)
• Knowledge of state management libraries (Vuex, Redux, Pinia).

About the Role:

Rumble Cloud is seeking a Principal Database Architect to own the architecture, technical direction, and successful delivery of our Database as a Service (DBaaS) offering within our public cloud platform. This role will take over a product already in active development and guide it through hardening, integration, launch, and global scale-out. You will be responsible for shaping the long-term technical roadmap of the service, ensuring it is secure, reliable, performant, and operable at scale for customers worldwide. You will work closely with our development team, engineering team, and early adopter customers to refine the design, drive high-quality implementation, and build the patterns and practices that future engineers will follow.

Key Responsibilities:

• Own the end-to-end architecture of the DBaaS product, including multitenancy, high availability, disaster recovery, backup/restore, observability, and security.
• Review and influence existing epics, stories, and technical designs, identifying gaps and driving improvements.
• Define and maintain architectural standards and patterns for databases across our public cloud (provisioning, configuration, lifecycle management, monitoring, security).
• Work closely with platform, networking, and security teams to integrate DBaaS into our cloud infrastructure, including identity, networking, billing, self-service, and automation.
• Collaborate with Product Management to align technical roadmap with product vision, SLAs/SLOs, and customer requirements.
• Serve as the highest-level technical escalation point for DBaaS-related issues in development, staging, and production environments.
• Support onboarding and success of early “friendly” customers: assist with deployments, performance tuning, troubleshooting, and architecture guidance.
• Define and evolve operational runbooks, incident response patterns, and SRE practices for the DBaaS platform.
• Mentor and coach other engineers and architects as we build an internal team around the service, raising the overall bar for database and data platform expertise.
• Establish and enforce security, compliance, and data protection best practices for the DBaaS offering (encryption, access control, auditing, regulatory considerations).
• Participate in capacity planning and cost optimization, ensuring the service is economically viable at scale.
• Conduct periodic architecture reviews and post-incident reviews, driving continuous improvement in reliability and customer experience.
• Support and advise internal teams on the operation, performance, and troubleshooting of existing database clusters, in addition to primary ownership of the DBaaS platform.

Required Skills & Experience:

• Expert-level experience in database engineering, data platforms, or infrastructure, with significant ownership of production database systems or services.
• Deep expertise with at least one major relational database engine (e.g., PostgreSQL, MySQL, MariaDB, or similar), including replication, backup/restore, performance tuning, and operational best practices.
• Solid understanding of cloud infrastructure concepts, including compute, networking, storage, and security in public cloud or large private cloud environments.
• Experience integrating databases or DBaaS-like offerings with cloud control planes, APIs, and automation/orchestration systems.
• Strong background in reliability engineering for data services (monitoring, alerting, SLOs, incident management, capacity planning).
• Familiarity with security and compliance requirements for database services (encryption at rest/in transit, access control, auditing, data retention, regulatory considerations).
• Proficiency with infrastructure-as-code and automation tools (e.g., Terraform, Ansible, or similar) and comfort working with CI/CD pipelines.
• Scripting or programming skills (e.g., Python, Go, Bash or similar) for automation, tooling, and integration.
• Proven track record of technical leadership: influencing designs across teams, mentoring engineers, and making clear trade-off decisions.
• Excellent communication skills, with the ability to work effectively with external vendors, internal stakeholders, and customers.

Nice to Have (Preferred Skills):

• Strong, hands-on expertise with both MySQL and PostgreSQL databases.
• Experience designing or operating multi-tenant, high-availability, and distributed database architectures in a cloud or large-scale environment.
• Experience designing or operating a DBaaS offering (e.g., Amazon RDS/Aurora, Azure Database, Cloud SQL, or similar managed services).
• Knowledge of NoSQL or specialized data stores (e.g., Redis, MongoDB, Cassandra) and when to apply them.
• Experience in Kubernetes-based data workloads, operators, or stateful services.
• Familiarity with multi-region architectures, data residency, and geo-replication patterns.
• Exposure to observability stacks (e.g., Prometheus, Grafana, ELK/OpenSearch, OpenTelemetry) for data services.
• Relevant certifications in databases, cloud architecture, or security are a plus.

Qualifications:

• Demonstrated success owning the architecture and technical direction of a mission-critical platform or service.
• Strong customer empathy and a track record of working directly with users or customers to solve complex technical problems.
• Ability to operate at both strategic and hands-on levels, from roadmap and design reviews down to debugging complex production issues.

Annual Compensation Range: 

$185,000 -  $265,000 USD base + benefits + equity (If based in the United States)

$170,000 -  $200,000 USD base + benefits + equity (If based in Canada)

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

Location
Our Staff Cloud Architect will be an integral part of our Forward Deployed Engineering team. This role is based remotely in LATAM, in Mexico or Colombia.

Who We Are
DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. 

Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.

With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. 

The Team: Forward Deployed Engineering – Delivery

Forward Deployed Engineers (FDEs) sit at the intersection of customers, cloud platforms, and DoiT Cloud Intelligence™. In the Delivery capacity, FDEs are embedded technical partners for existing customers, focused on:

• Making DCI trusted and indispensable in day-to-day cloud operations
• Removing technical barriers to adoption across cost, reliability, security, and performance
• Turning one-off solutions into reusable patterns ("Gravel Roads") that improve both customer outcomes and the product
• FDEs operate as part of integrated account teams or as pulled FDEs, working closely with Customer Success Managers (CSMs), Account Managers (AMs), Technical Account Managers (TAMs), other FDEs, and Product Support Specialists (PSS) to deliver impactful outcomes across customer segments and tiers.

The Opportunity
Hire, onboard and manage a team of Senior Cloud Architects specializing in Kubernetes and container orchestration, data and analytics, machine learning, cost optimization and empower them to become the best version of themselves. Enable your team to guide customers on how to configure and deploy their products or services on Amazon Web Services or Google Cloud and act as an escalation point and provide technical support to customers on innovative/complex cloud topics.

Responsibilities

Customer-Facing Delivery

• Build, lead, and manage a strong team of Cloud Architects/FDEs that help customers design, deploy, and optimize production-grade cloud workloads on AWS, Google Cloud, and/or Azure.
• Ensure your team serves as the primary technical delivery partner for customers, with a focus on CloudOps/FinOps, reliability, security, and performance.
• Act as an escalation point for complex cloud topics and ensure high-quality, well-explained resolutions.
• Drive your team to plan and deliver structured engagements such as cost optimization workshops, architecture deep dives, security/reliability reviews, and product adoption sessions.

Proactive Engagement & Account Team Alignment

• Shift your team's model from reactive to proactive
•  by driving signal-based outreach (usage, health, roadmap gaps, known risks).
• Embed FDEs into account teams and ensure they participate in defined account activities -  TKOs, quarterly reviews, objective setting, and customer syncs.
• Coordinate with TPOs, CSMs, AMs, TAMs, and other FDEs to deliver measurable impact across customer segments.

DCI Product Expertise & Adoption

• Coach your team to become experts in DCI - Cloud Analytics, Insights, Cloud Composer, CloudFlow, DataHub, and Enterprise Platforms such as PerfectScale and SELECT and use these tools hands-on with customers.
• Drive your team to embed DCI into customers' FinOps, observability, CI/CD, and governance workflows.

Paving "Gravel Roads" & Product Feedback

• Foster a builder culture: expect every FDE to turn one-off customer solutions into reusable patterns - playbooks, Terraform modules, CloudFlow templates, Composer Recipes, and internal docs or build products alongside our R&D team.
• Ensure your team provides structured feedback to Product and Engineering on product gaps, friction points, automation and improvement opportunities.
• Support the FDE model by enabling FDEs to partner deeply with R&D and product stakeholders

People Leadership & Career Development

• Provide technical leadership and guidance to team members, fostering a culture of innovation, collaboration, and continuous learning.
• Mentor and coach FDEs, providing regular feedback and performance evaluations to drive career development and growth.
• Drive team engagement, define clear role expectations, and align individual growth plans with the FDE career ladder.
• Lead the OKR process for the team, including setting, tracking, and ensuring alignment with broader company objectives.

Qualifications

• 10+ year of experience architecting, developing, and troubleshooting internet-scale, production-grade distributed systems
• 5+ year of experience in cloud environments such as Amazon Web Services and/or Google Cloud with the focus on selecting appropriate tools to tackle the business problem at the right scale
• Proven people leadership experience
• Experience with container technologies, e.g. Kubernetes
• Experience with networking, e.g. TCP/IP, routing, network topologies, and VPN
• Experience with Linux operating systems administration and internals such as filesystems, system calls.
• Great verbal and written communication skills, as well as presentation skills in English

Bonus Points

• AWS Certified Professional Solution Architect
• Some experience in software development in one or more languages such as Java, Python, PHP, Go, or Rust; as well as shell scripting

Are you a Do’er?
Be your truest self. Work on your terms. Make a difference. 

We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.  

What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values. 

Sounds too good to be true? Check out our Glassdoor Page.

We thought so too, but we’re here and happy we hit that ‘apply’ button. 

Benefits for full-time employees include:

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend 
• Peer Recognition Program

Many Do’ers, One Team
DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

#LI-Remote

Qui sommes-nous?

Construire. Développer. Pérenniser.

Nous sommes un cabinet de conseil technologique mondial avec une approche d'ingénierie axée sur l’IA, déposée en marque, pour accélérer la livraison de produits numériques et révolutionner la modernisation des plateformes. Nous faisons ce qui est juste, et nous le faisons bien. Nous sommes fiers d’être un New Champions du Forum Économique Mondial et une entreprise certifiée B Corp.

· Nous sommes assez petits pour prendre soin localement, assez grands pour livrer globalement (5 continents, 11 bureaux, plus de 500 experts de plus de 50 nationalités)
· Nous sommes solides et résilients (100 % indépendants et sans dette)
· Nous sommes entrepreneurs et experts passionnés : nous investissons dans ce en quoi nous croyons sincèrement et travaillons en intelligence collective
· Nous sommes positifs, courageux, attentionnés, acteurs et engagés pour l’excellence

Gen-e2

Alors que le marché se contente encore largement de livraisons simplement « augmentées par l’IA », nous avons réinventé le cycle de vie du développement logiciel (SDLC) pour le rendre AI First. Notre approche change la donne en matière de productivité et de qualité, grâce à une collaboration étroite entre l’IA générative et nos meilleurs talents :

• Nous générons désormais 95 % de l’ensemble du produit — code, documentation, Infrastructure as Code (IaC) et même le design, le tout propulsé par GitHub Copilot.
• Avec Gen-e2™, nous livrons des produits de bout en bout 2 à 3 fois plus vite que les approches traditionnelles, tout en rehaussant le niveau d’excellence en ingénierie.
• Curieux-se d’en découvrir plus dans notre article The AI-first revolution in Tech: How PALO IT cracked the code of AI-enhanced engineering.

🚀 Votre rôle

Pour notre filiale PALO IT LABS basée en à Paris et entièrement axée sur le développement de notre méthodologie Gen-e2, vous serez amené à utiliser des outils d’IA de pointe accélérer les cycles de développement et stimuler l’innovation.

En tant que membre clé de notre équipe, vous dirigerez des initiatives d'ingénierie à fort impact, pilotées par l’IA, et des programmes de transformation de la phase de découverte à la livraison. Vous serez responsable de l’excellence technique, du développement des compétences de l’équipe et du succès client, en veillant à ce que chaque projet soit aligné avec le modèle Gen-e2 speed-to-impact.

Vos soft skills vous aideront à construire ou à faire partie d’une équipe performante dépassant constamment les attentes en combinant efficacement l’expertise humaine et les capacités de l’IA.

🎯 Votre Mission

En tant que Coach Gen-e2 Tec, votre mission est autant interne qu’externe :

• Diriger des équipes pluridisciplinaires d’ingénierie et produit, délivrant des solutions à grande échelle, pilotées par l’IA, cloud-native et intégrant DevSecOps.
• Définir la stratégie technique — accompagner les clients dans l’adoption transformative de modèles de livraison entièrement pilotés par l’IA.
• Réaliser des analyses techniques, définir les architectures de solution et animer des ateliers clients pour définir les approches techniques du projet.
• Mettre en œuvre les bonnes pratiques Gen-e2 — des artefacts du référentiel produit aux bibliothèques de prompts IA pour les standards de codage, l’architecture et la conformité sécurité.
• Former et coacher les équipes clients sur Gen-e2 — leur permettant d’adopter des modes de travail AI-driven et de les ancrer dans leur culture.
• Accompagner les organisations dans le scaling de Gen-e2 — en créant des stratégies et cadres pour une adoption à l’échelle de l’entreprise.
• Stimuler la productivité et la qualité — en exploitant l’IA pour générer la majorité des artefacts tout en appliquant des processus rigoureux de revue et validation.
• Cultiver une culture d’ingénierie AI-First — mentorant les équipes pour maîtriser les modes de travail AI-First dans la recherche, le design, le prototypage, la création de backlog et la génération de code.
• Expérimenter en continu les pratiques et améliorer notre approche de livraison — en tirant parti des dernières capacités, outils et patterns IA pour repousser les limites de l’ingénierie produit.
• Impliquer les parties prenantes — en assurant une livraison au moins 50 % plus rapide que les attentes des clients.

Vous êtes au bon endroit si

• Vous avez un leadership confirmé en ingénierie/conseil et avez coaché des équipes ainsi qu’enablé des clients (transformations, playbooks) en environnements agiles exigeants.
• Vous avez une base solide en génie logiciel, conception/architecture, et savez passer de la discovery à la delivery avec sens de l’impact.
• Vous avez la maîtrise des assistants de code IA (Copilot, Cursor…) et du prompt engineering, et l’envie de réinventer un SDLC AI‑First mesuré (DORA, qualité, SLOs).
• Si vous avez une expertise cloud & plateforme (AWS/Azure, GCP+), serverless, Kubernetes, IaC (Terraform/CDK), CI/CD, trunk‑based, observabilité (OTel, Prom/Grafana) et sécurité by design.
• Si vous avez l’aisance des outillages/migrations d’entreprise (Atlassian, Azure DevOps, GitHub Enterprise, SSO, RGPD) et savez naviguer des parties prenantes (CTO/CIO/CISO, Produit, Data, Juridique) avec alignement business.
• Si vous avez un esprit builder, un leadership de service et une communication claire, et êtes à l’aise avec l’innovation, l’ambiguïté et le changement.
• Si vous avez une sensibilité Tech for Good (B Corp) — accessibilité, sobriété, éthique de l’IA — et un anglais courant (autres langues appréciées).

Les profils de nos consultantes et consultants sont tous diversifiés, et nous sommes fier.es de cette richesse. N’hésitez pas à nous contacter si votre profil ne répond pas à 100 % à cette annonce, nous valorisons également:

• Le partage de votre engagement, vos connaissances techniques, votre volonté et votre enthousiasme dans des conférences ou communautés de développement et de Software Craftsmanship ;
• Votre participation à un ou plusieurs projets Open Source, en tant que contributeur.rice, par exemple ;
• Votre passion pour l'éco-conception, les défis sociaux modernes, l’innovation dans les domaines humains et le développement durable ;
• Votre engagement dans des associations ou meetups autour de l’humain et de l’environnement.

Ce que nous vous offrons

• Un terrain de jeu à la hauteur de votre expertise: des missions sélectionnées pour leur complexité, leur exigence d’ingénierie et leur impact business et sociétal.
• Un coach de carrière dédié qui vous accompagne avec des séances régulières pour structurer, suivre et accélérer vos objectifs de développement.
• Une communauté technique exigeante et bienveillante: revues de code, pair programming, partage et mentoring pour élever en continu le craft et la rigueur.
• Parcours de montée en compétences Gen-e2 dès la semaine 1 et tout au long de votre onboarding.
• Des certifications Microsoft et GitHub financées dès l’onboarding.
• De l’idée au partage: lab R&D interne, open source by default, conférences tech et dojos d’innovation pour expérimenter, coder, transmettre.