Director of Software Development

Position Summary

The Director of Software Development leads multi-disciplinary engineering organizations responsible for delivering, testing, and supporting enterprise software products. This role owns execution, quality, and operational outcomes across development, test, and PMO teams, while embedding AI and metrics-driven decision-making into daily engineering practice.

Local architects and development, test, and PMO managers report to this role.

Key Responsibilities

• Own end-to-end software delivery through managers, aligning execution to business objectives, customer outcomes, and operational reliability.
• Establish and enforce modern SDLC practices across development, testing, and support.
• Drive AI-first engineering execution, embedding AI into development, testing, release, and support workflows as a standard operating model.
• Lead and coach engineering managers and architects, building a culture of accountability, continuous improvement, and measurable outcomes.
• Operate a metrics-driven engineering organization using delivery, quality, and reliability signals to guide decisions.
• Oversee testing and support organizations to ensure high product quality, rapid incident resolution, and strong customer satisfaction.
• Identify delivery, quality, and operational risks and implement mitigation strategies informed by data and analytics.
• Communicate progress, risks, and outcomes clearly to senior leadership.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• Proven experience leading software development organizations through multiple layers of management.
• Strong background in metrics-driven engineering, including DORA metrics and SRE-informed operating models.
• Experience applying SRE principles such as SLIs, SLOs, error budgets, observability, and incident management.
• Demonstrated hands-on leadership integrating AI into software development, testing, and support workflows.
• Excellent leadership, communication, and organizational skills.
• Experience with Agile and modern software delivery practices.

Preferred Experience

• Hands-on familiarity with modern programming languages, CI/CD, and cloud-native architectures.
• Experience with AI-assisted SDLC platforms, AIOps, and engineering analytics.
• Track record of improving delivery speed, quality, reliability, and customer outcomes using data and automation.

Working Conditions

Full-time role in a collaborative environment. Occasional travel may be required.

EO: Toshiba Global Commerce Solutions is an equal opportunity/affirmative action employer that evaluates qualified applicants without regard to age, ancestry, color, religious creed, disability, marital status, medical condition, genetic information, military or veteran status, national origin, race, sex, gender, gender identity, gender expression and sexual orientation or any other protected factor. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery-it is about shaping how AI is built, shared, and scaled across the company.

As part of this group, you will play a key role in internal capability development, with a strong focus on designing and evolving AI Accelerators-reusable frameworks, templates, and reference architectures covering GenAI, LLM-based solutions, ML pipelines, and cloud-native AI systems. These accelerators will become the backbone of our AI offerings, enabling faster delivery, higher quality, and consistent technical standards across projects.

A second core dimension of the role is knowledge leadership. Strategic hires will actively contribute to internal knowledge-sharing initiatives: technical deep dives, hands-on workshops, demos, and best-practice sessions covering topics such as GenAI orchestration, RAG, model deployment, prompt and system design, observability, and cost-efficient AI architectures. You will help raise the overall AI maturity of the organization while mentoring engineers and influencing technical direction. In addition, members of this group will act as AI project jumpstarters, joining new client engagements for up to 50% allocation over 1-2 months. In this capacity, you will help define solution architectures, validate technical approaches, build initial prototypes, and set strong engineering foundations before teams scale. This gives you exposure to diverse domains and cutting-edge AI use cases while maximizing your impact across multiple initiatives.

Project Description

We are looking for a highly skilled and innovative Machine Learning Engineer to develop and expand our Generative AI and Computer Vision capabilities. This role involves accelerating Technical Sales Support, Architecture and PoC development.

Technologies

• Python
• Git, CI/CD practices for ML and data pipelines
• AWS and/or Azure
• PyTorch, TensorFlow
• MLflow
• LLMs and NLP tasks
• Generative AI concepts
• LangChain/LangGraph, LlamaIndex
• Qdrant, Pinecone, Weaviate, FAISS or similar
• RNNs, Transformers
• Dataset labeling, annotation tools (e.g., Label Studio, CVAT)
• Prometheus, Grafana, DataDog, OpenTelemetry
• YOLO, SDD
• Segmentation models
• Image Classification

What You'll Do

• Lead the design, development, and deployment of scalable ML services;
• Architect and implement AI/ML solutions, ensuring model quality, governance, and security;
• Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);
• Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements;
• Mentor and guide junior engineers, promoting best practices in ML engineering;
• Develop and maintain documentation, ML models, and technical standards;
• Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments;
• Stay up-to-date with emerging trends and technologies in AI/ML field;

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
• 5+ years of experience in ML engineering, with at least 1 years of hands-on experience with LLMs;
• Strong proficiency in Python;
• Experience with cloud data platforms (AWS and/or Azure);
• Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering;
• Experience with data governance, security, and compliance in cloud environments;
• Excellent problem-solving, communication, and leadership skills;
• English: Upper Intermediate level or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a leading global data center provider delivering hyperscale and edge infrastructure solutions across the Americas, EMEA, and Asia-Pacific. With 80+ data centers in 20+ countries, they partner with industry leaders such as Google, Oracle, NVIDIA, and Microsoft Azure to power the world’s digital infrastructure. Recognized as a USA TODAY Top Workplace for four consecutive years, the company continues to expand its global footprint and customer ecosystem.

Project Description

We are looking for a Cloud Infrastructure Engineer to help shape and deliver a modern cloud and hybrid IT strategy across Azure, AWS, and GCP. In this role, you will design scalable, secure, and cost-effective infrastructure that supports enterprise applications, hybrid connectivity, and next-generation data and AI/ML workloads.

Technologies

• Azure ecosystem
• Azure DevOps
• GCP / AWS
• Infrastructure as Code: Bicep
• Windows Server
• Microsoft SQL Server

What You'll Do

• Lead the assessment and modernization of enterprise cloud workloads, defining migration roadmaps across retain, re-platform, refactor, and retire scenarios;
• Design governed multi-cloud landing zones across Azure, AWS, and/or GCP, standardizing networking, identity, policy, and account/subscription topology through Terraform and Bicep;
• Establish cloud-agnostic infrastructure practices, reusable IaC modules, and automated provisioning standards to reduce manual operations and subscription sprawl;
• Govern identity and access across cloud platforms, SaaS applications, and CI/CD workloads using Microsoft Entra ID, conditional access, workload identity federation, and service principal controls;
• Architect secure hybrid and cross-cloud connectivity, including ExpressRoute, SD-WAN, traffic segmentation, and low-latency data transfer patterns;
• Implement zero-trust security controls for IT/OT boundaries, including inspected and policy-enforced traffic flows for SCADA, HMI, ICS, and enterprise systems;
• Design resilient, highly available cloud architectures with defined RTO/RPO targets and automated disaster recovery validation;
• Build platform services, CI/CD templates, and self-service infrastructure capabilities that enable internal teams to consume cloud services through documented standards and APIs;
• Implement governance, policy-as-code, and FinOps practices to enforce security, compliance, cost tagging, spend attribution, and cloud cost optimization;
• Support strategic modernization initiatives, including Kubernetes adoption, application containerization, database optimization, and reduction of Windows server licensing costs;

Job Requirements

• 7+ years of experience in cloud infrastructure engineering, with deep hands-on expertise in Microsoft Azure and production experience with at least two major cloud providers, such as Azure, AWS, or GCP;
• Strong experience with cloud networking, IAM, compute, IaaS/PaaS services, and Microsoft Entra ID / Azure AD, including conditional access, workload identity federation, SAML/SCIM, and service principal governance;
• Proven expertise in IaC using Terraform and/or Bicep, including governed landing zones, module registries, and cloud infrastructure migration;
• Hands-on experience designing and operating CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools, including pipeline-as-code, security scanning, and deployment gates;
• Solid understanding of zero-trust architecture, IT/OT boundary security, and industrial control environments such as SCADA, HMI, and ICS;
• Experience designing and validating disaster recovery architectures across regions and cloud providers, including RTO/RPO definition and automated failover testing;
• Familiarity with FinOps practices and tools, including cost tagging, spend attribution, showback/chargeback models, CloudHealth, CloudCor, or native cloud cost tools;
• Experience with policy-as-code frameworks such as Azure Policy, AWS SCPs, GCP Organization Policies, or Open Policy Agent;
• English level: B2 or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a leading global provider of advanced analytics, technology solutions, and clinical research services for the life sciences industry. The company combines large-scale healthcare data with AI-powered analytics to accelerate drug development, clinical trials, and commercialization for pharmaceutical and biotech companies. It was named to Fortune’s World’s Most Admired Companies list in 2026.

Project Description

Our client is looking for a Senior Full-stack Engineer to support full-stack development initiatives in the healthcare advertising domain. The specialist will work in a SCRUM-based team and contribute to technical decisions, solution design, development, documentation, API integrations, and stakeholder communication.

Technologies

• C#
• .NET
• Vue.js (or other frontend framework)
• API
• SQL
• AWS

What You'll Do

• Contribute to full-stack development using .NET, SQL, AWS, and Vue.js (or any other frontend framework);
• Drive technical decisions and participate in solution design and project documentation;
• Develop and support API integrations with other services;
• Work on application performance optimizations;
• Review technical solutions and provide technical guidance to the team when needed;
• Communicate with client stakeholders and take ownership of assigned deliverables;

Job Requirements

• 8+ years of experience as a Full-stack Engineer;
• Strong backend experience with C# / .NET;
• Strong experience with Vue.js or another modern front-end framework;
• Experience with SQL databases;
• Experience with API development and integrations;
• Experience with AWS;
• Ability to participate in technical discussions, documentation, and client communication;
• Strong ownership and responsibility for deliverables;
• Great verbal and written communication skills;
• English level: B2 or higher; 

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.

Technologies

• Azure
• Databricks (Architecture, Unity Catalog, Delta, Lineage, Permissions, Databricks Genie, Notebooks)
• Agentic AI (Mosaic AI)
• Python
• SQL

What You'll Do

• Develop and maintain data pipelines within the Azure-based data platform;
• Work with the Databricks ecosystem (Delta Tables, Unity Catalog, notebooks) to process and manage data;
• Build and optimize data transformations using Python and SQL;
• Develop and support AI-driven data pipelines and automation using Databricks (Mosaic AI or similar tools);
• Support and enhance existing production data systems;
• Collaborate with a team of engineers on Databricks-based solutions;
• Ensure data quality, consistency, and reliability across data pipelines;

Job Requirements

• 3+ years of experience as a Data Engineer;
• Strong experience with Databricks ecosystem (Architecture, Unity Catalog, Delta tables, lineage, permissions, Databricks Genie, notebooks);
• Strong experience with Python;
• Solid proficiency in SQL;
• Experience working in Azure cloud environment;
• Experience with Databricks pipelines AI automation (Mosaic AI or AWS Agentcore);

Nice To Have

• Experience with Azure data integration tools (Synapse Pipelines, Azure Data Factory);
• Experience with Azure SQL pools;
• Understanding of performance tuning for data workloads;
• Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC);

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Staff PRODUCT ENGINEER (Contract)

Build it. Ship it. Own it.

Location: Argentina, Brazil, Colombia, Chile, Mexico, Dominican Republic, Peru

About Counterpart

Counterpart is an insurtech platform reimagining management and professional liability for the modern workplace. We believe that when businesses lead with clarity and confidence, they become more resilient, more innovative, and better prepared for what's ahead. That's why we built the first Agentic Insurance™ system — where advanced AI and deep insurance expertise come together to proactively assess, mitigate, and manage risk. Backed by A-rated carriers and trusted by brokers nationwide, our platform helps small businesses grow with confidence. Join us in shaping a smarter future, helping businesses Do More With Less Risk®.

The Role

As a Product Engineer at Counterpart, you own problems and drive outcomes. You iron out requirements with stakeholders, partners, and customers. You leverage AI for implementation. You verify the end-to-end result. You iterate until you move the needle.

You run projects with other Product Engineers and AI agents. You know when to delegate to a human, when to delegate to an agent, and when to do it yourself. 

YOU WILL

Own the Problem

• Take accountability for the outcome. 
• Talk directly to your users, stakeholders, and peers to discover the problem. 
• Translate business intents into functional requirements that engineers and agents can build against. Determine where human judgment is non-negotiable and where AI can augment or act autonomously. 
• Own the non-functional technical requirements. Specify the quality bar: performance, scalability, reliability, security, maintainability.

Build with AI

• Write production-quality code across the stack: Python, Django, AWS, React, and PostgreSQL. You are not afraid of any layer.
• Direct agents and review their output with domain depth. Catch what they miss across the functional and non-functional bar: correctness, edge cases, performance, security, testability, readability.
• Evaluate and improve agent output regularly. Track failure modes. Refine the prompts and patterns that lift the quality ceiling over time.
• Run projects that span other Product Engineers and agents. Coordinate work, manage dependencies, and keep things moving without micromanaging.
• Contribute to architectural decisions. Bring options and alternatives, not objections. Know when the elegant solution is the wrong call for a startup moving fast.
• Contribute to and manage the context harness as you build and deliver.

Verify and Iterate

• Surface delivery risks early. Bring solutions, not just problems. Keep your stakeholders informed without turning every risk into a meeting.
• Verify the end-to-end result yourself. Confirm the system does what the requirements say, and that the requirements were right.
• Drive adoption of what you ship. Documentation, enablement, and usage monitoring are part of the job.
• Monitor your services in production. Own the signal. Debug and fix what breaks.
• Participate in support rotations. When users run into issues with what you shipped, you investigate and fix them.
• Iterate until you move the needle. Shipping is not the finish line. Outcome is.

Raise the Bar

• Mentor engineers around you. Give direct, useful feedback. Leave things better than you found them.
• Make deliberate calls on technical debt: when to accumulate it, when to pay it down, when to refactor. Translate trade-offs into language that business leaders can act on.
• Operate to the engineering standards for quality, reliability, and operational excellence.

YOU HAVE

• 10+ years building production web applications across the full stack. The years are the floor, not the bar. What matters is whether you have actually done this: owned a problem end-to-end, written the spec, built the thing, coordinated the work, and shipped it without someone else holding the thread.
• Demonstrated experience gathering requirements directly. You have interviewed users, customers, and partner teams, and turned ambiguous intent into specs that engineers and agents can build against.
• Demonstrated experience owning both functional and non-functional requirements. You have defined what a system must do and held the line on how well it must do it.
• A track record of owning a domain or initiative without close supervision. You have navigated ambiguity, made judgment calls, and been accountable for the outcome.
• Extreme ownership and a bias for action. You do not sit and wait. You chase stakeholders, customers, and answers when you need them.
• Experience coordinating across engineers and AI agents on a shared initiative. You have managed the work without holding a formal management title.
• Strong technical judgment and the depth to catch what AI-generated code gets wrong: not syntax, but correctness, architecture, intent.
• Proficiency with Python and Django. Working knowledge of TypeScript, React, and PostgreSQL.
• Proficiency in developing with AI tools (Claude Code, Cursor, OpenAI Codex, similar) and the drive to stay ahead of how AI development practices are evolving.
• Domain curiosity. You learn the business context your work supports, not just the systems. You understand why the problem matters, not just how to solve it.
• The ability to communicate clearly across engineering, product, and business, translating technical complexity without losing meaning.
• Low ego and high Emotional Quotient (EQ). You influence without authority, take feedback well, and leave your ego out of technical decisions.
• Experience working with distributed, remote teams.

HOW THIS ROLE WORKS

Product Engineering exists to collapse the distance between a problem and a working solution. You own a problem or part of a vision. You shape it with stakeholders. You build it with AI. You verify it end-to-end. You iterate until the metric moves.

You work within the Context Architecture, a shared system of documentation, design patterns, and domain knowledge that gives you the technical context to make autonomous decisions at every step.

This is not a role for engineers who need to be told how. It is a role for engineers who can take a problem, fill in the gaps with good judgment, and ship something that works.

WHO YOU WILL WORK WITH

• Derrick Franco, Principal Engineer: After teaching himself to code at 13, Derrick went on to co-found Jumpstart in addition to building out the technical divisions at InvestorsAlley and Phinaz Media Group. Nowadays Derrick spends his time reading, with his wife, and working on his podcast The Future of Work Project.
• Julian Prokay, Principal Engineer: A veteran of the SaaS space with experience working on both student systems and construction management software. In his free time, he enjoys history podcasts and fantasy literature.
• Tony Nguyen, Engineering Manager: Tony is an engineering and platform leader with 25+ years of leadership experience at companies like Sony PlayStation Network, Intuit TurboTax, and ServiceNow. He thrives at building products, scaling teams, and leading organizations, but more so building people. He believes the best leadership and engineering comes from bringing your full identity to work. For him that's faith, family, and sports! Outside of work, you can catch him on the couch with his 3 adult children watching anime, going to Disneyland, or having game nights.
• Ron Alexessen, Engineering Manager: With experience at Hewlett-Packard, New Relic, Rackspace, and consulting agencies, Ron has built teams and shaped technical culture across different environments. He's passionate about AI-enabled development as a force multiplier and building solutions that create real business impact. Outside work, he boulders, runs, rides gravel bikes, and co-parents active teenagers, embracing structured chaos in all of it.
• Newton Truong, Engineering Manager: Newton joins Counterpart with 7+ years of experience in platform and data engineering. In his last company Thrive Market, he had a hand in building out new microservices and architecting data pipelines with Airflow and Spark. He's vegetarian and loves trying new restaurants when traveling. Nowadays he's busy keeping up with his 2-year-old and doing outdoor activities with his family.
• John Mendez, Engineering Manager: John has experience working at companies of all sizes. He enjoys startups and small-to-medium businesses, where he can wear multiple hats and help deliver solutions. Outside of work, he stays busy with his four kids and their activities. He also makes time to stay active by working out at home and running or walking with his dog.

COUNTERPART'S VALUES

• Conjoin Expectations - it is the cornerstone of autonomy. Ensure you are aware of what is expected of you and clearly articulate what you expect of others.
• Speak Boldly & Honestly - the only failure is not learning from mistakes. Don't cheat yourself and your colleagues of the feedback needed when expectations aren't being met.
• Be Entrepreneurial - control your own destiny. Embrace action over perfection while navigating any obstacles that stand in the way of your ultimate goal. Leverage AI ruthlessly. We measure success by outcomes, not lines of code written. Use every available AI tool to ship faster and think more strategically.
• Practice Omotenashi ("selfless hospitality") - trust will follow. Consider every interaction with internal and external partners an opportunity to develop trust by going above and beyond what is expected.
• Hold Nothing As Sacred - create routines but modify them routinely. Take the time to reflect on where the business is today, where it needs to go, and what you have to change in order to get there.
• Prioritize Wellness - some things should never be sacrificed. We create an environment that stretches everyone to grow and improve, which is fulfilling, but is only one part of a meaningful life.

WE OFFER

1. Work from Anywhere - Counterpart is a fully distributed company, meaning there is no office. We allow employees to work from wherever they do their best work, of course prioritizing meetings that often happen in US time zones.
2. Language Classes - We sponsor up to $100 per calendar year to be used towards language classes to help support your English language skills.
3. Paid Vacation and Time Off
4. Parental Leave - Development Partners will be eligible for unpaid Parental Leave to bond with a newborn, newly-adopted, or newly placed child. Under this policy, development partners and independent contractors will be eligible for up to 8 weeks of unpaid parental leave. Any time off will be subject to approval and must be requested at least 45 days in advance.
5. Computer - We reimburse you for your locally procured MacBook Pro. If you are still with the company after one year, it is yours to keep!

Our estimated pay range for this role is USD $90,000 - $110,000 annually. Contractor compensation is determined by a variety of factors, including but not limited to, market data, location, internal equitability, and experience.

We are committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work, regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.

We are an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.

Do work that matters.

At AlertMedia, everything we do supports our mission: To save lives and minimize loss by identifying active threats globally and facilitating timely communications when an emergency threatens personal safety and business continuity.   

Our core values drive us in our important mission of keeping people safe & informed:

• We’re humans not robots
• Customers always come first
• We work better together
• Simplicity is our strength
• Our reputation is priceless
• Hard work pays off

AlertMedia is looking for a Sr. Software Engineer with full-stack experience and hands-on experience building scalable applications in Elixir & Python. This role is an opportunity to use a wide variety of design and technical web skills to help us manage day-to-day requests as well as leverage your experience while gaining new experience from the team. You must have a passion for innovative software development and willingness to roll up your sleeves to collaborate with all teams. You will have the opportunity to show who you are throughout our interview process, we don’t ask any trick questions, or expect you to perform a whiteboard exercise. We want to see you shine by showing us work you are most proud of! 

Who you are: 

You thrive in a collaborative engineering environment that plays to everyone's strengths with a willingness to work across the entire stack. Ideally, you have Elixir, Python & JavaScript experience, but more importantly, you care about the quality of your work, the impactful product you help build, and the team you help build it with. You have AWS experience and are willing to learn from people with both more and less experience than you. You lead by example in adopting and operationalizing AI tools—both within the product and across the development lifecycle.

What you will do: 

• Learn the AlertMedia platform and tools, and its uses for our customers 
• Work with Elixir, Python, JavaScript and other web technologies to deliver leading software solutions in the mass communications space 
• Use AI tools in both the product and the development lifecycle
• Work in an Agile based environment using tools like Git, JIRA, CircleCI, and Slack 
• Contribute to the technology lead that AlertMedia has over other solutions through innovative development and by helping contribute new ideas related to leveraging technology in our product line 
• Use strong verbal and written communication skills in collaboration with other engineering and product teams 
• Contribute to AlertMedia’s culture, values and vision for the future 

What you bring to the role: 

• Bachelor’s degree in a technical field such as computer science, computer engineering or related field preferred 
• 6-8 years of experience building scalable applications with modern frameworks using Elixir, Python, JavaScript, Django, and React
• Experience with Amazon Web Services (AWS or other cloud experience a must) 
• Postgres & Redis development experience   
• Proficiency leveraging AI tools for product development
• Strong organizational skills and ability to manage working on multiple projects in parallel 
• The ability and desire to work in a fast-paced challenging environment 
• Outstanding communication skills and ability to effectively work cross-functionally in a fast-paced challenging environment  
• English proficiency (written and oral) is required 
• This position is based in Mexico. Must reside in Mexico and have permanent residency. AlertMedia does not sponsor.

Why you’ll love working at AlertMedia:

• Competitive Base Salary (Bi-Monthly payroll)
• Annual Company Bonus
• 100% Employer-Paid Medical, Dental, and Vision Coverage
• Parental Leave Program 
• Christmas Bonus (Aguinaldo)
• Generous Vacation and Holiday Policy
• Additional Vacation Bonus
• Monthly Work-from-Home Stipend
• All Necessary Equipment Provided: Laptop, monitor and accessories
• Recognition & Rewards: We celebrate wins big and small
• Language Immersion Program with employees spread out across the globe (English, Spanish, etc...depending on your interest)
• Continuous Learning & Growth: From mentorship and tech talks to personalized 1:1 career development sessions, we’re deeply committed to investing in your professional journey
• Award Winning Culture: We're proud to be recognized as a BEST WORKPLACE FOR 10 YEARS IN A ROW
• The Work & People: We’re passionate about the meaningful work we do—and even more grateful for the incredible people we get to do it with!

About AlertMedia:

AlertMedia helps organizations protect their people and businesses through all phases of an emergency. Our award-winning threat intelligence, emergency communication, and travel risk management solutions help companies of all sizes identify, respond to, and recover from critical events faster and more confidently. AlertMedia supports essential communication for thousands of leading businesses—including JetBlue, Coca-Cola Bottling, and Walmart—in more than 150 countries.

We are an equal opportunity employer focused on creating a collaborative and exciting place for all to work. Ensuring a diverse, inclusive, and equitable workplace for all people is key to our success and core to our values.   All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. 

This is an amazing opportunity to be part of our wave of momentum and take our company, and your career, to the next growth stage. We'd love to get to know you better and share how we serve our amazing customers. For more information, please visit www.alertmedia.com.   

Come join us in our mission to save lives and minimize loss through effective communication.  

By applying for the role, you agree that Alert Media will use your Personal Information in connection with the recruitment process and in accordance with our Privacy Policy – https://www.alertmedia.com/legal/privacy-policy/

About Backblaze

Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building durable, scalable systems with a strong emphasis on developer experience and operational efficiency.

But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Software Engineer, AI to join our team!

What You’ll Do:

• Use AI-assisted development tools, including Claude Code, to accelerate implementation while validating correctness, security, and performance.
• Design and build server-side APIs that authenticate users, accept and manage backups, handle large-scale data operations, and prepare restored data for customers across our global user base.
• Collaborate with Product, QA, and Support teams to ensure both backend features reflect real customer workflows and usage patterns.
• Build and maintain support tooling to help diagnose and resolve customer issues at scale.
• Ensure all code and open source assets meet high standards for testing, documentation, reproducibility, and developer usability.

Tools and Technologies

• AI coding agents such as Claude Code, Cursor, Codex, and Antigravity
• Languages: Python, TypeScript, Go, JavaScript, Java (and other languages common in the open source ecosystem)
• Backblaze B2 SDKs and REST APIs
• Open source AI frameworks and tooling (e.g. LangChain, LlamaIndex, vector databases)
• SQL and NoSQL backend development (experience with large-scale distributed databases a plus)
• GitHub, pytest, CI/CD pipelines
• Large-scale server infrastructure (Linux, cross-platform awareness)

The Right Fit:

• 2+ years of backend software engineering experience, ideally on systems that serve millions of users across multiple platforms.
• Proficiency in one or more backend languages (Java, Python, TypeScript, or similar); comfortable picking up new languages as needed.
• Practical understanding of AI workflows — data ingestion, preprocessing, inference, and agent-based orchestration.
• Experience building or working with large-scale APIs and distributed storage or data systems.
• Production-quality coding habits: rigorous testing, clear documentation, and attention to security and performance.
• Customer-focused mindset — you think about the developer and end-user experience in everything you build.
• Strong written communication skills; you can explain technical decisions clearly to both engineers and non-engineers.
• Good attitude, cross-functional collaboration skills, and a genuine desire to work in a fast-paced environment with evolving requirements.

Bonus Points For:

• Experience building or evaluating AI agents and multi-step tool-use systems.
• Experience with Cassandra or other large-scale NoSQL systems.
• Familiarity with ReactJS or front-end frameworks.
• Prior work with vector databases or embedding pipelines.

Why Backblaze: 

• Build open source software used by developers worldwide.
• Work at the intersection of AI, data, and cloud storage.
• Collaborate with experienced engineering, product, and QA teams.
• Competitive compensation and benefits.
• Remote-first culture supporting work-life balance.

At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here.

At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer.

To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

#LATAM

Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.

You Will:

• Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets
• Build ML training and fine-tuning pipelines using Scale's robotics data
• Work across backend (Python, Node.js, C++), and frontend (React, TypeScript) stacks to build end-to-end solutions
• Develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation
• Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development
• Design comprehensive monitoring and evaluation frameworks for robotics models and data quality
• Solving complex, late-stage industry challenges in concurrent and real-time robotic systems, with strict attention to timing constraints and data integrity. This often involves deep investigation, reviewing academic papers, and direct collaboration with robotics vendors
• Collaborate with ML engineers and researchers to bring robotics research into production
• Deliver features at high velocity while maintaining system reliability and performance

Ideally, You Have:

• 3+ years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems.
• Strong programming skills in Python and TypeScript/Node.js for production systems
• Experience with React and modern frontend development for 3D interfaces
• Concurrent and real-time systems, with special attention to timing constraints
• Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
• Experience with databases (MongoDB, PostgreSQL) and data processing at large scale
• Track record of working with cross-functional teams including ML engineers, researchers, and customers
• Strong communication skills and ability to operate with high autonomy

Nice to Haves:

• Experience with C++
• Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
• Background in computer vision, SLAM, motion planning, or imitation learning
• Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
• Experience with ML model deployment and serving frameworks
• Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
• Experience with workflow orchestration systems (Temporal, Airflow)
• Published research or open-source contributions in robotics or autonomous systems

As Scale's product portfolio and customer base expand, we are seeking skilled Site Reliability Engineers to manage and maintain our physical infrastructure, including robot stations, servers, computers, and network installations. You will play a crucial role in ensuring our on-site technical facilities operate smoothly while coordinating resource usage and providing hands-on support to remote engineering teams.

These engineers will gain a deep understanding of our physical infrastructure and technical facilities, enabling them to effectively install, configure, and maintain critical systems when needed. A critical aspect of this role will be coordinating access to shared technical resources and serving as the on-site point of contact for remote engineers who need physical changes performed, transforming currently manual coordination processes into a more streamlined and efficient workflow.

You will:

•  Install, configure, and maintain robot stations and related technical equipment on-site.
• Manage and maintain server infrastructure, workstations, and computing equipment in our facilities.
• Oversee network installations, including routers and cabling infrastructure.
• Coordinate access to technical facilities, maintaining schedules and ensuring orderly usage of shared resources.
• Establish and enforce safety protocols and usage guidelines for technical facilities.
• Provide hands-on support to remote engineers, performing physical changes and configurations as requested.
• Troubleshoot hardware, network, and connectivity issues, ensuring minimal disruption to operations.
• Document infrastructure configurations, changes, and maintenance procedures to ensure maintainability and knowledge transfer.
• Proactively identify maintenance needs and capacity constraints to prevent issues before they arise.
• Drive standardization and foster collaboration across different teams to achieve efficient facility usage.

Ideally you'd have:

• 5+ years of experience as an IT Technician, Field Engineer, Facilities Technician, or similar hands-on technical role.
• Proven track record of installing and maintaining server hardware and workstations.
• Experience configuring and troubleshooting network infrastructure and physical installation work.
• Experience coordinating shared resources or facilities, managing schedules and access.
• Familiarity with Linux, Windows and MacOS.
• Knowledge of Python/C++, scripting, and command line (cmd/bash) operations.
• Basic understanding of electrical systems for robot stations and equipment.
• Comfort with rapidly changing, fast-paced environments and a passion for finding solutions to complex physical infrastructure problems.
• Basic understanding of safety protocols and an eagerness to integrate them into facility operations.
• A hunger for learning new technologies, particularly in the realm of robotics and automated systems.
• Strong problem-solving, analytical, collaboration, and communication skills.

Nice to haves:

• Experience with robotics systems or automated equipment.
• Exposure to industrial charging systems or battery management systems.
• Prior experience in facility management or lab coordination.

Important Information

Experience: +6 years

Job Mode: Full-time

Work Mode: Hybrid position to work 4 days per month at the client's office in Mexico City or GDL

ID: 19966

Essential Skills

Exp: 7-10years hands on application development, L3 and/or L2+ who is ready to pick up L3 part.
Having Advanced Java/j2ee experience (Rest api, servlet, JavaScript/html, jsp, jdbc, struts, Hibernate, Spring)
Mid- to- Advanced experience in AWS Cloud (EC2/Lambda, Amazon CloudWatch, IAM, S3, RDS & DynamoDB/MongoDB) in to Support function.
Good exposure using AI models in support function.
Advanced level experience to work with multi server/Tier: Tomcat, Jbosss, WebSphere and Weblogic servers.
Advanced hands-on experience in Database (DB2, Oracle and Sybase.. etc)
Mid- to- Advanced Unix and scripting (shell/perl.. etc)
Good hands-on in understanding and making changes in shell/perl scripts
Having good experience in job scheduler monitoring tools (Autosys, procmon, crontab.. etc)
Advanced hands on experience IDE’s like Eclipse, NetBeans.
Mid – to Advanced experience on using Git, Jenkins and other repo/deployable
Having mid to advanced experience in Support model (L2+/L3)
Good exposure to production tooling (ticking/monitoring) like Jira, ServiceNow and processes (familiar with Incident/problem) and change mgnt
Good experience in making the code (Java, Unix, DB) changes in production and able to run
Certifications: AWS certifications (preferred)

- Bachelor’s degree in computer science, Information Technology, or related field.
- 5+ years of experience in L3 support or similar roles.
- Strong proficiency in JAVA programming and application support.
- Good Troubleshooting skills in analyzing System and Application logs and working experience of support function in distributed systems.
- Proficiency with Linux-based operating system, commands, and utilities.
- Strong ability to debug application issues to identify the underlying root cause
- Good communication skills with ability to articulate the technical and functional aspects of a production problem to help drive solutions with App Dev teams.

Preferred:
- Experience with cloud platforms (AWS).
- Familiarity with CI/CD pipelines and DevOps practices.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Important Information

Experience: +6 years

Job Mode: Full-time

Work Mode: Hybrid position to work 4 days per month at the client's office in Mexico City or GDL

ID: 19964

Responsibilities and Duties

•  Investigate and drive support resolution with senior external clients, internal stakeholders and other Marquee engineering teams. Serve as point of escalation for support issues from Marquee Helpdesk (L1)
•  Providing mentorship and guidance to junior team members to ensure successful resolution of issues
•  Develop and mature the SRE strategy to ensure scalability, reliability, and performance of our platforms.
•  Automate manual processes to increase efficiency and reduce risk.
•  Troubleshoot and resolve complex technical issues, collaborating with cross-functional teams as needed.
•  Work closely with the engineering team to drive resolution of client issues.
•  participate in on-call rotations and respond to incidents as needed.
•  Continuously improve processes and systems to increase reliability and reduce risk.
•  Influence and suggest improvements on roadmap for enhancing Marquee client experience.
•  Create documentation /runbooks and code snippets to share with clients and internal engineering teams

Key criteria:
•  Must be comfortable coding in Java and or Python, debugging API calls, writing quality-of-life snippets for clients, creating scripts for debug tooling.
•  Must have a basic knowledge of UI and API integration.
•  Must be presentable to clients and a clear, empathetic communicator able to talk to clients and stakeholders with confidence.
•  Must be willing to execute on support issues while also building out the function and automating resolution of repeat issues.

Mandatory Skills: Java or any object-oriented programming language, Linux, SQL (between Linux and SQL, candidate should be strong in at least one of them)

Basic Qualifications (Required skills)

· Bachelor’s degree in information technology, Computer Information Systems, Computer Science, or a related field.
· 3 to 5 years of work experience on SDLC/Devops, LINUX system platforms.
· Good Linux Scripting/Development skills - JAVA, Python (any).
· Good knowledge in technologies like Autosys/Job scheduling systems like CRON, NIS, Apache, Tomcat, any RDBMS like DB/ MS-SQL/Oracle/Sybase, Public/Private Cloud.
· Good Knowledge of SDLC, CVS, SVN, GIT, Maven, GITLAB, Docker and Jenkins.
· Knowledge of Devops dependencies - code review, builds, repositories, packages, distribution.
· Knowledge of config management - chef, puppet, ansible and related languages . groovy, go, json, yml, ini (any)
· Strong analytical and troubleshooting capabilities.
· Excellent soft skills & Communication (Verbal and Written) .
· Must be willing to work in rotational shifts.
· Ability to Multi task in high paced environment.
· Problem Solver and To-Do attitude, ability to face technical challenges and drive solution.

Preferred Qualifications (Nice to have)

· Having worked in environment supporting 10000+ servers a plus.
· Multiple Application Support Experience a plus.
· ITIL and ITSM experience a plus.
· Global clients facing Support team experience a plus.
· Able to work within a Global team, prior experience a plus .
· Prior experience with Financial Institution a plus.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 425547

Do work that matters.  

At AlertMedia, everything we do supports our mission: To save lives and minimize loss by identifying active threats globally and facilitating timely communications when an emergency threatens personal safety and business continuity.    

Our core values drive us in our important mission of keeping people safe & informed:   

• We’re humans not robots  
• Customers always come first  
• We work better together  
• Simplicity is our strength  
• Our reputation is priceless  
• Hard work pays off 

As one of the fastest growing software companies in the nation, we’re focused on finding the best talent and building the best team to continue accelerating our rapid growth to keep up with our demand. 

AlertMedia is looking for an experienced Database Engineer (Search Platform) with deep expertise in Elasticsearch at scale, relational databases (Postgres/MySQL), and modern search architectures including vector search, semantic search, hybrid search, and ranking strategies such as Reciprocal Rank Fusion (RRF).

This is a hands-on role focused on designing, operating, and evolving the data stores and search infrastructure that power AlertMedia’s real-time risk intelligence platform. You will play a critical role in how we index, query, rank, and retrieve signals across large-scale structured and unstructured datasets. We’re looking for someone who has built and operated production-grade search and database systems, understands distributed systems tradeoffs, and is comfortable owning complex data infrastructure end to end. We want you to shine by showing us real systems you’ve designed, clusters you’ve scaled, search architectures you’ve improved, and performance problems you’ve solved. We don’t do trick questions or whiteboard exercises.

Who you are:    

You are a pragmatic database engineer who thrives in a collaborative environment and enjoys working on systems that operate at scale in the real world.
You have significant experience designing, tuning, and operating Elasticsearch clusters in production, including large datasets, high ingest rates, and low-latency search requirements. You understand shard allocation, index lifecycle management, query optimization, cluster scaling, replication, and performance tuning. You also have strong experience with relational databases like Postgres or MySQL, including schema design, indexing strategies, query planning, and operational best practices.

You care deeply about:

• Building resilient, observable, and scalable data infrastructure
• Search relevance, performance, and correctness
• Data modeling and storage design
• Operational excellence and production reliability
• Clean, maintainable infrastructure and automation

You are comfortable working in Python and SQL, have experience with AWS infrastructure, and enjoy improving systems continuously.

What you get to every day:    

• Design, scale, and operate Elasticsearch clusters supporting large-scale ingest and low-latency query workloads
• Architect and optimize hybrid search systems, combining keyword search (BM25) with vector/semantic retrieval
• Implement and tune vector search, semantic search pipelines, and ranking strategies (e.g., RRF, rescoring, custom ranking logic)
• Improve indexing strategies, shard design, mappings, analyzers, and query performance
• Design and maintain relational database systems (Postgres/MySQL) supporting application and data workloads
• Partner with data engineering teams to ensure ingestion pipelines are optimized for search and database performance
• Monitor, troubleshoot, and optimize cluster health, capacity planning, scaling strategies, and cost efficiency
• Improve observability, alerting, backup/restore, disaster recovery, and operational best practices
• Contribute to architecture decisions around storage, indexing, retrieval, and relevance
• Operate in an Agile environment using tools like Git, JIRA, Jenkins, and Slack
• Help shape AlertMedia’s long-term data platform and search strategy
• Contribute to AlertMedia’s culture, values, and long-term technical vision

What you bring to the role: 

• Bachelor’s degree in Computer Science, Engineering, or related field (preferred)
• 3-4+ years of experience in database engineering, search engineering, or backend data platform roles
• Expert level hands-on experience with Elasticsearch at scale (cluster design, tuning, scaling, and operations)
• Experience designing and implementing vector search, semantic retrieval, hybrid search, and ranking strategies such as RRF
• Experience with AWS or other cloud platforms (required)
• Solid experience with relational databases such as Postgres or MySQL, including schema design and query optimization
• Strong understanding of search relevance concepts (BM25, analyzers, scoring, boosting, rescoring)
• Experience with high-throughput ingest systems and indexing pipelines
• Proficiency in Python and SQL 
• Strong organizational skills and ability to manage multiple pipelines and priorities
• Excellent written and verbal communication skills, with the ability to collaborate cross-functionally
• Ability and desire to work in a fast-paced, technically challenging environment
• English proficiency (written and oral) is required

Nice to Have

• Broader data engineering experience (data acquisition, ETL, streaming pipelines, Kafka/Kinesis/SQS)
• Experience with AI/ML pipelines, embeddings generation, or MLOps workflows
• Experience operating vector databases or ANN systems (FAISS, Milvus, OpenSearch vector, pgvector, etc.)
• Experience with large-scale data processing frameworks 
• Please note: AlertMedia does not sponsor applicants for work visas.

Why you’ll love working at AlertMedia:

• Competitive Base Salary (Bi-monthly payroll)
• Annual Company Bonus
• 100% Employer-Paid Medical, Dental, and Vision Coverage
• Parental Leave Program 
• Christmas Bonus (Aguinaldo)
• Generous Vacation and Holiday Policy
• Additional Vacation Bonus
• Monthly Work-from-Home Stipend
• All Necessary Equipment Provided: Laptop, monitor and accessories
• Recognition & Rewards: We celebrate wins big and small
• Language Immersion Program with employees spread out across the globe (English, Spanish, etc...depending on your interest)
• Continuous Learning & Growth: From mentorship and tech talks to personalized 1:1 career development sessions, we’re deeply committed to investing in your professional journey
• Award Winning Culture: We're proud to be recognized as a BEST WORKPLACE FOR 10 YEARS IN A ROW
• The Work & People: We’re passionate about the meaningful work we do—and even more grateful for the incredible people we get to do it with!

About AlertMedia:

AlertMedia helps organizations protect their people and businesses through all phases of an emergency. Our award-winning threat intelligence, emergency communication, and travel risk management solutions help companies of all sizes identify, respond to, and recover from critical events faster and more confidently. AlertMedia supports essential communication for thousands of leading businesses—including JetBlue, Coca-Cola Bottling, and Walmart—in more than 150 countries.

We are an equal opportunity employer focused on creating a collaborative and exciting place for all to work. Ensuring a diverse, inclusive, and equitable workplace for all people is key to our success and core to our values.   All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. 

This is an amazing opportunity to be part of our wave of momentum and take our company, and your career, to the next growth stage. We'd love to get to know you better and share how we serve our amazing customers. For more information, please visit www.alertmedia.com.   

Come join us in our mission to save lives and minimize loss through effective communication.  

By applying for the role, you agree that Alert Media will use your Personal Information in connection with the recruitment process and in accordance with our Privacy Policy – https://www.alertmedia.com/legal/privacy-policy/

Important Information

Experience: +5 years

Job Mode: Full-time

Work Mode: Remote

ID: 21306

Responsibilities and Duties

Co-design, prepare and deliver KPIs, helping commercial areas and sales organization to measure they performance interconnecting available data with a well designed KPIs strategy.

1. Design and develop requested KPIs from different areas / countries
2. Define and implement initiatives to improve the information homologation and standardization
3. Propose and implement new opportunities to obtain valuable information that can improve the customer experience.

Position challenges: Manage and coordinate several teams from different countries, cultures, backgrounds and expectations Maintain a constantly evolving model with all project's information

Qualifications and Skills

• Academic Background: Analytics Bachelor Degree or similar, +2 years in digital adoption areas or similar
• Areas of expertise: Commercial, Customer Experience, Process & IT, Analytics, Digital tools Technical
• Skills required by role: Software skills for data collection and presentation, Advanced Excel, Statistical programming knowledge, Ability to articulate data-driven decisions, ability to summarize and present data, well versed in the latest innovations and trends in the market related to data manipulation product and services. SQL / Snowflake is a must
• Hard Skills: Data Modeling – Snowflake DB (SQL), Excel, SQL
• Soft Skills: Decision making, Problem Solving, Resilience & Adaptability, Strategic Thinking & Execution, Teamwork & Collaboration, Time Management

About Encora 

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

Important Information

Experience: +7 years

Job Mode: Full-time

Work Mode: Remote

ID: 21307

Job Summary

We are seeking a versatile Senior Fullstack Java Developer who can contribute across both backend and UI development. This role is ideal for an engineer with strong backend expertise in Java who is also comfortable working on frontend components and collaborating with design teams when needed.

The ideal candidate does not need to be a dedicated UI expert, but should be capable of supporting and implementing user interface work as part of a fullstack engineering role. Experience or familiarity with Figma is highly desirable to help translate designs into functional applications and collaborate effectively with product and design teams.

Responsibilities and Duties

• Design, develop, and maintain scalable fullstack applications with a primary focus on Java backend development.
• Build and enhance frontend/UI components as needed to support product initiatives.
• Collaborate with product managers, designers, and engineers to deliver high-quality user experiences.
• Work with Figma designs and mockups to implement responsive and functional interfaces.
• Develop and maintain RESTful APIs and backend services.
• Participate in architecture discussions, technical design reviews, and code reviews.
• Troubleshoot and resolve issues across both backend and frontend layers.
• Ensure code quality, performance, scalability, and maintainability.
• Contribute to CI/CD processes, testing strategies, and deployment workflows.
• Mentor junior developers and promote engineering best practices.

Qualifications and Skills

• 5–8+ years of experience in software engineering or fullstack development.
• Strong hands-on experience with:
  • Java and modern backend frameworks (Spring Boot preferred)
  • Frontend technologies such as JavaScript/TypeScript, React, Angular, or similar
• Experience developing and consuming RESTful APIs.
• Strong understanding of fullstack application architecture.
• Ability to contribute to both backend and UI work as needed.
• Familiarity with responsive design and frontend best practices.
• Experience with version control systems (Git).
• Strong problem-solving and debugging skills.

Desirable Experience

• Experience or familiarity with Figma for collaborating with design teams and implementing UI designs.
• Exposure to modern UI/UX workflows and component-based design systems.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience with containerization tools such as Docker or Kubernetes.

About Encora 

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

About the Role

Verkada is seeking a Global Solutions Engineer with expert experience in Cloud Security, IoT Systems, Networking, Linux systems, Security Surveillance and Access Control. This individual will partner directly with their territory account executives to expand the Verkada footprint upmarket into Fortune 500 companies in LATAM.  Responsibilities include directly interfacing with customers/partners throughout the sales process, overcoming technical objections, assisting customers in designing deployments with Verkada Products and providing technical assistance to territory account reps. The ideal candidate will be highly motivated, able to learn quickly and work independently while making impactful results for the company remotely. 

What You'll Do

• Be the subject matter authority on the full Verkada suite of products and offerings and articulate the value added benefits to customers throughout the sales process.
• Act as a trusted advisor for Verkada Customers and overcome objections while securing the technical win for Verkada.
• Effectively present the Verkada solution to all levels of customer, from C-level executives to loss prevention managers and directors of IT.
• Work directly with your Account Managers to develop territory strategy for Verkada.
• Design Verkada solutions that range from: Network Security recommendations/bandwidth requirements, choosing proper Verkada products for Physical Security and deployment. Cloud Security RFP's/Documents, LTE deployments.
• Stay up to date on the security and IoT industry by attending and presenting at strategic conferences and providing thought leadership within the market
• Be a Product Technical Evangelist in training/educating partners, customers, and internal employees on the latest Verkada product offerings.
• Write White Papers and Knowledge Base articles about Verkada Products, features, and integrations.
• This role requires regular travel, estimated to be more than 50% of the time, including both domestic and international destinations as needed. The successful candidate must be comfortable with frequent travel to support business operations, customer and partner engagements and team collaboration. 

What You Bring

• Entrepreneurial and positive attitude with a strong desire to learn.
• 5+ years of experience as a Sales Engineer, with a proven track record of working with Fortune 500 companies.
• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Information and Computer Technology, Networking, IT Security from an accredited university.
• Strong background in Networking: Experience with HTTPS/SSL, VLANs, TCP/IP, DNS, NAT devices, DHCP servers, Firewalls and software systems.
• Outstanding written & verbal English communication skills in order to clearly and efficiently articulate technical matters with customers and partners.
• Able to work and adapt to an ever evolving workplace and company.
• Genuine excitement for software/hardware products, Cloud Security and IoT devices and can speak to how they work.
• Industry certifications are a plus: AWS, CCNA, CCDA, CCNP, MCSE, CEH, Security+, A+, Network+, Microsoft
• Experience working with Linux systems are a plus.
• Bonus points if you have previous startup experience.

Mexico Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs 
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Additional Information

Technical Support Engineer

This role focuses on helping customers succeed with Smartly’s platform by resolving complex technical issues and improving overall product experience. You will work closely with Product and Engineering to investigate problems, support new feature rollouts, and ensure customers can rely on Smartly in their day-to-day operations. Your work directly impacts customer satisfaction and product quality.

What You Will Do

• Provide timely, high-quality technical support to customers using the Smartly platform
• Troubleshoot and resolve complex technical issues, including bugs and performance concerns
• Act as a liaison between customers, Product, and Engineering to ensure clear communication and effective resolution
• Reproduce, analyze, and document bugs, ensuring accurate prioritization and escalation
• Manage critical customer escalations with urgency and clear communication
• Develop expertise in marketing APIs (Meta, Google, TikTok, Snapchat, Pinterest) and Smartly’s platform
• Contribute to product improvements by sharing customer feedback and recurring issues
• Support product launches (Alpha/Beta) and help validate new features
• Mentor team members and contribute to internal documentation and knowledge sharing

What We Are Looking For

• Strong experience in technical support within a customer-facing environment, ideally in SaaS
• Proven troubleshooting and problem-solving skills, including root cause analysis
• Hands-on experience with SQL and JSON
• Familiarity with REST APIs, HTTP fundamentals, and web application architecture
• Ability to replicate, document, and escalate technical issues clearly and effectively
• Strong written and spoken communication skills in English
• Comfortable working independently and navigating ambiguous situations
• Availability to work Americas hours

What We Offer You

At Smartly, we offer a place where you can advance your career. Here, you'll find:

An Inclusive Global Culture: Join a team of over 750 Smartlies, representing more than 60 nationalities across 24 locations in 13 countries. We cultivate a culture built on trust, transparency, and open feedback, where diverse perspectives are valued and encouraged.

Global Impact: Contribute to a company making a global impact, directly influencing our customers' success and business growth.

Focus on Wellbeing: We prioritize your health with healthcare packages, mental health services, and a commitment to work-life balance through paid holidays and family leave.

Comprehensive Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and career development opportunities.

Flexible Hybrid Workplace: Experience a hybrid work model, balancing office collaboration with remote work, and the option to work abroad for up to 30 days annually.

Smartly is committed to being a great place for growth-minded individuals to thrive. Explore more in our Culture Handbook!

Apply Now and Build Your Future with Smartly!

Curious what it’s like to work at Smartly? Visit our Careers page to see how we grow, collaborate, and make impact together

#LI-HYBRID

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

As a key member of the Quality Assurance team, you will be responsible for ensuring the reliability, performance, and security of our software products. You will design, develop, and execute comprehensive test plans that allow our development teams to ship high-quality code with confidence and speed.

Key Responsibilities

• Quality Strategy: Develop and implement robust test strategies and test cases for new and existing features.
• Test Automation: Design, write, and maintain automated test scripts (UI and API) to increase testing efficiency and coverage.
• Agile Collaboration: Participate in Agile ceremonies (Sprint Planning, Stand-ups, Retrospectives) to provide "QA perspective" from the start of the development cycle.
• Defect Management: Identify, document, and track software defects to resolution using bug-tracking tools (e.g., Jira).
• Cross-Functional Communication: Communicate effectively with developers, product owners, and stakeholders to clarify requirements and report on software health.
• CI/CD Integration: Integrate automated tests into CI/CD pipelines to ensure continuous quality and rapid feedback loops.
• Root Cause Analysis: Perform thorough regression testing and root cause analysis when bugs are identified in production.
• Continuous Improvement: Proactively suggest improvements to the development process to prevent defects before they occur.
• Soft Skills: Demonstrate a detail-oriented mindset, professional curiosity, and a "quality-first" attitude.

Requirements

• Experience: Proven experience in Software Quality Assurance (Manual and Automated testing).
• Language: English proficiency is mandatory.
• Programming Skills: Proficiency in at least one programming language (e.g., Java, Python, or JavaScript) for automation purposes.
• Testing Frameworks: Hands-on experience with automation tools such as Selenium, Cypress, Playwright, or Appium.
• API Testing: Experience testing RESTful APIs using tools like Postman, SoapUI, or RestAssured.
• Databases: Basic to intermediate knowledge of SQL for data validation and backend testing.
• Version Control: Proficiency in Git and/or BitBucket.
• Documentation: Excellent skills in writing clear, concise, and comprehensive test plans and bug reports.

Preferred Qualifications (Pluses)

• Experience with Performance/Load Testing (e.g., JMeter, Locust).
• Knowledge of Security/Penetration Testing principles.
• Experience with Cloud Infrastructure (AWS, Azure, or GCP).
• Familiarity with Docker and Kubernetes for managing test environments.

LI-DC1

#LI-KG1 #LI-REMOTE

Your Role:

Join our Technical Support Team at Tenable where you’ll play a pivotal role in bridging the gap between our products and customers. Solve real-world technical challenges by offering exceptional support for cutting-edge vulnerability assessment and compliance auditing software. Your expertise will shine in complex, multi-layered customer environments. Our suite of products, detailed at https://www.tenable.com/products, offers a diverse range of opportunities. From assisting customers with their first Nessus scanner to guiding them through intricate log correlation and real-time vulnerability analysis, you'll contribute to mitigating cyber risks and closing the Cyber Exposure gap. Join us in delivering top-notch support that makes a difference!

Your Opportunity: 

• Work closely and build relationships with the rest of the Tenable team, including Sales, Customer Advocacy, Research & Development, and Operations
• Troubleshoot, analyze and address customer technical inquiries and  ensure timely problem resolution
• Use remote troubleshooting techniques to troubleshoot and correct issues
• Analyzing vulnerability scan results, system audits, and log events
• Help customers understand vulnerability scan results, system audits, and/or log events and provide clear, concise, and actionable information to quickly resolve issues
• Recreate customer software issues in a lab environment for engineering assessment
• Ensure customer feedback is properly captured and channeled into Product Management and Research & Development
• Maintain in-depth knowledge of Tenable products and information security best-practices
• Create and publish solution knowledge for re-use by customers and Tenable employees
• Continually review personal performance metrics to ensure goals are consistently met
• May perform other duties and responsibilities that management may deem necessary from time to time
• Opportunities for career advancement within Technical Support as well as other organizations within Tenable

What You'll Need:

• Fluency and ability to explain technical concepts in English and Spanish
• Must be located in Mexico
• Bachelor’s degree in a technical field or equivalent experience
• 2+ years professional experience with networking (TCP/IP), Linux/Unix, macOS, Windows administration, patch deployment, and system configuration
• Experience providing technical support to enterprise clients, troubleshooting complex issues in production or customer environments; network security experience a plus
• Demonstrated interest in AI and Large Language Models (LLMs), with hands-on experience professionally or personally. Willingness to adopt and help evolve AI-driven tools designed to accelerate case resolution and elevate the customer experience.
• Knowledge of computer, network, and application security; familiarity with Nessus or similar tools is a bonus
• Strong analytical and problem-solving skills, with the ability to learn quickly
• Excellent written and verbal communication; customer-focused mindset
• Ability to manage multiple priorities in a fast-paced environment to help meet business and client needs
• Flexibility to work occasional weekends or holidays
• Ability to work hours supporting the US Eastern/LATAM time zones

And Ideally:

• Using Nessus and/or other vulnerability management or cybersecurity tools, either professionally or in an academic setting
• Experience with ticketing systems (JIRA, Salesforce, Zendesk etc.)
• Log analysis using a SEIM product (Splunk, ElasticSearch, etc.)
• Database technologies and SQL knowledge (Oracle, MySQL, MSSQL, etc.)
• Virtualization technology (VMWare, Hyper-V, Amazon AWS, Microsoft Azure, Docker, etc.)
• Fundamental understanding of programming languages
• Experience in Industry Security Standards (DISA, HIPAA, CIS, ISO 27001, etc.)
• Experience with or understanding of Certificates and CA’s
• Basic understanding of reviewing PCAPs with tools such as Wireshark

#LI-Remote

#LI-MM1

About Backblaze

Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands.

Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals.

While there is a lot to celebrate in our past, there is even more opportunity ahead of us. As we are continuing to grow, we’re seeking a Sr. Software Engineer - B2 Object Storage to join our team!

What You'll Do:

You will work on B2 APIs and subsystems that allow our customers and integrations to upload objects, manage object lifecycles, track usage, and interact with our billing and storage systems. You will help build new features, improve the scalability of our systems, and build internal observability tooling.

Responsibilities:

• Design, implement, and maintain B2 and S3-compatible APIs to ensure correctness, performance, and backward compatibility for a large base of external customers and integrations.
• Lead technical design discussions and produce clear design documents
• Instrument services, develop metrics, define meaningful SLIs/SLOs, and drive reliability improvements.
• Actively participate in on-call rotation to help determine incident root causes and identify follow-up remediation items

The Right Fit:

• 7+ years of server-side Java programming experience
• Experience writing software for large scale systems, including design, implementation, testing, and rollout
• Communicates proactively in a remote environment by keeping the team informed, surfacing blockers early, and moving work forward
• Professional experience incorporating AI-assisted development tools (e.g., Gemini, Cursor, Claude Code)

Bonus points for:

• Cassandra and Vitess experience
• Agile and scrum experience

At this point, we hope you're feeling excited about the job description you're reading. Learning, developing, and growing are key parts of our culture, so even if you don't meet every requirement, we still encourage you to apply.

At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer.

To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

#LATAM

About CircleCI Engineering

CI/CD has been solved. Now it's being reinvented. AI agents don't just run pipelines. They write code, trigger builds, interpret failures, and propose fixes. The interfaces that developers use to understand and trust that work don't exist yet. We're building them.

At CircleCI, our guiding principles aren't posters on a wall. We learn fast: we run experiments, accept failure, and scale what works. We think like the customer: every decision connects back to the developer sitting in front of a failing build at 2 am. We own the outcome: not just our slice of it, but the whole thing. If that's how you already work, you'll fit here.

Team-Agnostic Placement

We don't hire for a team. We hire for CircleCI. Where you land depends on where your strengths create the most leverage, and we figure that out together. You might own the CI pipeline experience, deploy and release tooling, notification infrastructure, monetization flows, AI agent surfaces, or the foundational web platform. The through line across all of it is the same: full-stack ownership, a high bar for craft, and work that directly shapes how tens of thousands of developers experience CircleCI every day.

What You'll Do

• Build AI-natively. AI is how we work. It's not a productivity layer on top of engineering, but the default starting point for how problems get approached and solved.
• Set technical direction. You define the approach others build from. When the problem is complex or the answer isn't obvious, you're the person who leads the design discussion, writes the ADR, and makes the call.
• Invent new interfaces. Software delivery is being reinvented. Pipelines run autonomously, generate fixes, and surface results that need human judgment. The tools developers use to understand, trust, and act on that work don't exist yet. You'll define what they look like and establish the patterns the team builds on.
• Own the full stack. Build features end-to-end in Go, React, and TypeScript. You don't hand off at a layer boundary. You own the outcome.
• Obsess over craft. Reliability and responsiveness are design concerns, not afterthoughts. Care about how the interface holds up when stakes are high and hold your team to that same standard.
• Champion observability. Use Honeycomb, Datadog, and Rollbar to understand and improve your systems. Operational data drives stability, not just incident response.
• Close gaps and fix the conditions that created them. You'll notice gaps and close them. When a gap reflects something broken in how the team works, you fix that too.

What You'll Bring

• AI-native engineering practices. You use AI tools daily and can speak to what you've built, where they changed your approach, and where they fall short.
• A track record of shipping. You've built something real and put it in front of users. 5+ years of production full-stack experience, with latency, responsiveness, and reliability treated as design concerns, not afterthoughts.
• Full-stack depth. Strong React and TypeScript. Comfortable owning backend services in Go: API design, data modeling, service integration.
• System design. You lead architectural decisions on complex systems. You make conscious tradeoffs, document your reasoning, and create the foundation others build on.
• Adaptability. You don't just thrive in ambiguity, you reduce it for others. You turn unclear requirements into a direction the team can execute on.
• Technical leadership. You mentor engineers, give direct feedback on technical direction, and raise the quality bar through how you engage in reviews and design discussions, not just what you ship.

Sound like you?

You've stopped waiting for AI to mature and are already building with it, not as a productivity trick, but as a core part of how you think about problems. You care about the product as much as the code. You're drawn to work where the patterns don't exist yet and the best answer requires you to invent it. If that's how you already operate, we want to talk.

About the Role

In 2026, Orium is investing in AI and automation to improve how SG&A functions operate across the organization.

Our goal is to build agentic systems that support real human decision-making — including a unified entry point and two-way workflows that allow agents, humans, and systems to interact reliably. We’re approaching this work intentionally, with strong foundations around trust, escalation, and human judgment.

We’ve completed early experimentation through pilots and demos, and we’re now looking for someone to help turn that learning into durable, production-ready capabilities.

This is a contract role focused on hands-on execution with strong technical ownership. As a Senior AI Systems Engineer you’ll work hands-on to design and build the technical foundations of these systems, partnering closely with internal stakeholders to translate evolving needs into reliable, scalable agentic workflows. The focus of this engagement is to accelerate the build-out of core agentic capabilities and to establish strong technical foundations over a defined period.

Role Details:

• Type: Contract (Part-Time)
• Duration: ~16 weeks
• Expected Commitment: ~20 hours per week
• Potential for extension or future engagement based on outcomes

Key Responsibilities

Agentic System Development

• Partner in shaping the technical approach and architecture of agentic systems, helping translate evolving needs into practical, scalable solutions.
• Design and implement agentic workflows that support two-way interaction between humans, agents, and internal systems.
• Build and orchestrate workflow logic using tools and frameworks such as Zapier + code, n8n (or similar), APIs, and event-driven architectures.
• Partner to integrate people-focused agentic workflows into a cohesive, reliable entry-point experience.

Systemization & Reliability

• Bring a technical perspective to early-stage ideas and prototypes, helping assess feasibility, trade-offs, and paths to production.
• Help evolve early implementations into more robust, maintainable, and production-ready systems.
• Help establish and document patterns for reliability, observability, and safe failure in agentic workflows.
• Ensure implementations align with defined trust models, escalation rules, and human-in-the-loop principles.

AI & Automation Craft

• Work hands-on with LLMs, prompts, and agent behaviour to prioritize correctness, clarity, and human accountability.
• Evaluate and integrate tools, frameworks, and platforms that support agentic patterns as the system matures.
• Contribute to and document shared standards and patterns for AI-augmented systems at Orium.
• Design and evolve retrieval and indexing approaches (e.g., RAG, structured knowledge sources) to ensure agents operate on accurate, relevant, and up-to-date context.

Skills & Experience

• Experience building, integrating, or supporting AI / LLM-powered systems, with an emphasis on reliability, validation, and safe failure.
• Proven experience taking systems from prototype to production, including defining architecture, managing trade-offs, and ensuring reliability at scale.
• Strong experience building backend systems, workflows, or integrations, including APIs, event-driven systems, and automation frameworks.
• Comfortable working with orchestration tools and workflow engines (e.g., Zapier + code, n8n, Temporal, Airflow, or similar), including extending platforms with custom logic where needed.
• Experience designing or contributing to system architecture, particularly in integration-heavy or distributed systems.
• Strong proficiency in JavaScript/Typescript, including building and deploying backend services, integrations, or extensions to support workflow and automation systems.
• Comfortable taking ownership in ambiguous problem spaces, helping define the path forward rather than waiting for fully defined requirements.
• Strong collaborator who enjoys building in partnership with product, domain, and systems owners.

Is the Role a Fit for You?

You’ll be a strong fit for this role if you:

• Think with a product mindset, not a ticket mindset. You take the time to understand stakeholder needs and real-world workflows before building solutions.
• Are comfortable working in ambiguity. You can take rough ideas or early prototypes and shape them into clear, working systems.
• Think in systems. You naturally connect tools, people, and processes into cohesive, scalable workflows.
• Take ownership and drive outcomes. You define the path forward and see things through to production, not just implementation.
• Balance speed with sound judgment. You move quickly while being thoughtful about reliability, failure modes, and human impact, especially when working with AI systems.

Compensation and Hiring Transparency 

• Expected Compensation (Mexico): Compensation will be offered in MXN, aligned with local market benchmarks and the employment model. Final compensation will consider experience, skills, location, internal equity, and business needs.
• Use of AI in Hiring: To keep the process efficient and focused on human connection, we use AI-enabled and automated tools for tasks like candidate communications and scheduling, interview note-taking, and summarizing feedback for hiring teams. Our recruiters and hiring managers review all information, and humans make every hiring decision.
• Vacancy Status: This posting is for an existing vacancy we are actively hiring for.

Committed to an Inclusive Workplace

We are committed to fostering an inclusive and accessible workplace. We provide reasonable accommodations throughout the hiring process in accordance with applicable local laws. If you require accommodations, we will work with you to meet your needs.

Committed to Social and Environmental Stewardship

Orium is committed to promoting and working towards a more socially and environmentally sustainable future. All employees are expected to make decisions and take actions in relation to their role and work that follow through on this commitment.

#LI-Remote

About the Role

In 2026, Orium is investing in AI and automation to improve how SG&A functions operate across the organization.

Our goal is to build agentic systems that support real human decision-making — including a unified entry point and two-way workflows that allow agents, humans, and systems to interact reliably. We’re approaching this work intentionally, with strong foundations around trust, escalation, and human judgment.

We’ve completed early experimentation through pilots and demos, and we’re now looking for someone to help turn that learning into durable, production-ready capabilities.

This is a contract role focused on hands-on execution with strong technical ownership. As a Senior AI Systems Engineer you’ll work hands-on to design and build the technical foundations of these systems, partnering closely with internal stakeholders to translate evolving needs into reliable, scalable agentic workflows. The focus of this engagement is to accelerate the build-out of core agentic capabilities and to establish strong technical foundations over a defined period.

Role Details:

• Type: Contract (Part-Time)
• Duration: ~16 weeks
• Expected Commitment: ~20 hours per week
• Potential for extension or future engagement based on outcomes

Key Responsibilities

Agentic System Development

• Partner in shaping the technical approach and architecture of agentic systems, helping translate evolving needs into practical, scalable solutions.
• Design and implement agentic workflows that support two-way interaction between humans, agents, and internal systems.
• Build and orchestrate workflow logic using tools and frameworks such as Zapier + code, n8n (or similar), APIs, and event-driven architectures.
• Partner to integrate people-focused agentic workflows into a cohesive, reliable entry-point experience.

Systemization & Reliability

• Bring a technical perspective to early-stage ideas and prototypes, helping assess feasibility, trade-offs, and paths to production.
• Help evolve early implementations into more robust, maintainable, and production-ready systems.
• Help establish and document patterns for reliability, observability, and safe failure in agentic workflows.
• Ensure implementations align with defined trust models, escalation rules, and human-in-the-loop principles.

AI & Automation Craft

• Work hands-on with LLMs, prompts, and agent behaviour to prioritize correctness, clarity, and human accountability.
• Evaluate and integrate tools, frameworks, and platforms that support agentic patterns as the system matures.
• Contribute to and document shared standards and patterns for AI-augmented systems at Orium.
• Design and evolve retrieval and indexing approaches (e.g., RAG, structured knowledge sources) to ensure agents operate on accurate, relevant, and up-to-date context.

Skills & Experience

• Experience building, integrating, or supporting AI / LLM-powered systems, with an emphasis on reliability, validation, and safe failure.
• Proven experience taking systems from prototype to production, including defining architecture, managing trade-offs, and ensuring reliability at scale.
• Strong experience building backend systems, workflows, or integrations, including APIs, event-driven systems, and automation frameworks.
• Comfortable working with orchestration tools and workflow engines (e.g., Zapier + code, n8n, Temporal, Airflow, or similar), including extending platforms with custom logic where needed.
• Experience designing or contributing to system architecture, particularly in integration-heavy or distributed systems.
• Strong proficiency in JavaScript/Typescript, including building and deploying backend services, integrations, or extensions to support workflow and automation systems.
• Comfortable taking ownership in ambiguous problem spaces, helping define the path forward rather than waiting for fully defined requirements.
• Strong collaborator who enjoys building in partnership with product, domain, and systems owners.

Is the Role a Fit for You?

You’ll be a strong fit for this role if you:

• Think with a product mindset, not a ticket mindset. You take the time to understand stakeholder needs and real-world workflows before building solutions.
• Are comfortable working in ambiguity. You can take rough ideas or early prototypes and shape them into clear, working systems.
• Think in systems. You naturally connect tools, people, and processes into cohesive, scalable workflows.
• Take ownership and drive outcomes. You define the path forward and see things through to production, not just implementation.
• Balance speed with sound judgment. You move quickly while being thoughtful about reliability, failure modes, and human impact, especially when working with AI systems.

Compensation and Hiring Transparency 

• Compensation: Contract rates are determined based on experience, engagement scope, duration, and time commitment. Rate discussions will take place during initial conversations.
• Use of AI in Hiring: To keep the process efficient and focused on human connection, we use AI-enabled and automated tools for tasks like candidate communications and scheduling, interview note-taking, and summarizing feedback for hiring teams. Our recruiters and hiring managers review all information, and humans make every hiring decision.

Committed to an Inclusive Workplace

We are committed to fostering an inclusive and accessible environment as we build a workforce that reflects the diversity of the community in which we live, including those with disabilities. We are dedicated to providing accommodations in all parts of the hiring process in accordance with the Accessibility for Ontarians with Disabilities Act and the Ontario Human Rights Code. If you require any accommodation, we will work with you to meet your needs.

Committed to Social and Environmental Stewardship

Orium is committed to promoting and working towards a more socially and environmentally sustainable future. All individuals engaged by Orium are expected to make decisions and take actions in relation to their role and work that follow through on this commitment.

#LI-Remote

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

We are looking for a Software Engineer to join our Design Systems team who will help define and build the next generation of how designers and engineers at Dropbox create products, spanning UI infrastructure, design systems, and AI-native development workflows. You will evolve our design system, build intelligent tooling, and integrate AI agents into the design-to-code lifecycle to improve speed, quality, and consistency.

This role blends foundational front-end engineering with AI-assisted and agent-driven workflows. You will work on scalable component architecture, design system governance, AI-powered developer tooling, and automation of design and engineering handoffs. Your work will directly influence how products are built across Dropbox.

You will play a crucial part in shaping how AI transforms product development. You will gain deep exposure to senior leadership, contribute to high-impact platform investments, and help define new ways of working at the intersection of design, engineering, and machine intelligence.

We are looking for a tinkerer at heart, someone who experiments, iterates, and pushes beyond conventional solutions. You approach emerging technologies, particularly AI and automation, as practical tools to reimagine workflows and unlock new capabilities. You bring curiosity, resilience, and a bias toward action, with the discipline to turn ambiguous ideas into production-ready systems others can rely on.

Responsibilities

• Develop, maintain, and evolve UI components and primitives that power Dropbox’s design system, enabling scalable and consistent product development.
• Design and build AI-powered tooling and agent-driven workflows that accelerate design-to-code processes and improve developer productivity.
• Partner closely with designers to translate design intent into high-quality, reusable code, while also shaping how AI can assist or automate parts of this workflow.
• Contribute to the architecture and strategy of AI-native UX development, including the integration of LLMs, agents, and automation into internal tooling.
• Prototype and productionize new concepts that explore the future of design systems.
• Ensure accessibility and inclusivity by embedding WCAG standards and best practices into both components and AI-assisted workflows.
• Write clear, scalable documentation for both human and AI consumers (e.g., enabling agents to effectively use the design system).
• Collaborate in code reviews, design critiques, and technical discussions to continuously raise the quality bar.
• Troubleshoot and resolve issues from internal teams, improving system reliability and usability.
• Drive experimentation and evaluation of emerging AI technologies, translating insights into practical improvements in tooling and workflows.

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

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 5+ years of experience in front-end development, including experience contributing to or maintaining a design system or shared UI platform.
• Strong proficiency in HTML, CSS, and JavaScript, with deep experience in modern frameworks (e.g., React) and component-driven development.
• Demonstrated experience building scalable, maintainable front-end architecture for complex applications.
• Hands-on experience integrating or building with AI/ML-powered tools (e.g., LLM APIs, agent frameworks, or automation pipelines) in a development workflow.
• Solid understanding of accessibility standards (WCAG, ARIA) and how to implement them in reusable systems.
• Proven ability to collaborate effectively with cross-functional partners (design, product, engineering) and communicate technical concepts clearly.

Preferred Qualifications

• Experience designing or building AI-native developer tools, agent-based systems, or generative UI workflows.
• Track record of contributing to large-scale design systems or platform teams in fast-paced environments.
• Familiarity with prompt engineering, evaluation of LLM outputs, or designing systems that leverage AI for code generation or transformation.
• Experience with CI/CD pipelines, package publishing, and tooling that supports scalable design system distribution.
• Strong understanding of testing strategies (unit, visual, integration) for UI systems and component libraries.

Role Description

We are seeking a SaaS Engineer to manage, optimize, and maximize value from Dropbox’s SaaS ecosystem. The ideal candidate has hands-on experience administering collaboration platforms (Google Workspace, Slack, Zoom, Dropbox), strong scripting/automation skills, and a curiosity for exploring new features and AI capabilities. You will help ensure SaaS platforms are secure, scalable, and fully leveraged, enabling Dropboxers to get the most out of their tools.

Responsibilities

• Administer SaaS platforms: user management, security, permissions, workflows, integrations.
• Proactively evaluate new SaaS features and run pilots/adoption programs.
• Measure and report on adoption and usage trends across collaboration platforms.
• Identify opportunities to leverage AI, automation, and integrations for smarter collaboration.
• Troubleshoot and resolve SaaS-related incidents, documenting best practices.
• Deliver documentation, training, and communication to drive user enablement.

Requirements

• 5+ years experience administering enterprise SaaS platforms (i.e. Google Workspace, Slack, Zoom, Dropbox).
• Experience with automation/scripting (Python, Bash, PowerShell, AWS Lambda).
• Familiarity with SaaS APIs, integrations, and CI/CD pipelines.
• Strong analytical skills for usage data, adoption metrics, and feature impact.
• Excellent troubleshooting, problem-solving, and cross-functional communication skills.
• Ability to work independently and cross-functionally, with clear communication to both technical and non-technical stakeholders.
• Strong documentation skills, with experience maintaining knowledge bases, SOPs, and onboarding guides

Preferred Qualifications

• Certifications in Google Workspace or Slack administration.
• Experience with SaaS adoption programs and driving user engagement.
• Familiarity with AI/ML-powered SaaS features.
• Background in SaaS spend optimization and vendor management.

Role Description

Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.

This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen.

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.

Responsibilities

• Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions
• Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards
• Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access
• Architect and implement a shift-left data governance strategy,  working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production
• Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement
• Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable
• Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development

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

• BS degree in Computer Science or related technical field, or equivalent technical experience
• 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership
• 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL)
• 8+ years of Python development experience, including building and maintaining production data pipelines
• Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains
• Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns
• Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries

Preferred Qualifications

• Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures
• Experience leading orchestration or platform modernization efforts at scale
• Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar
• Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent)
• Track record of establishing data engineering standards and best practices in a federated analytics organization

Role Description

Responsibilities

• Technical leadership and architecture: Define and drive the technical roadmap for identity and engagement platform services, including APIs, service boundaries, data models, and reliability goals.
• Modernization and platform evolution: Lead multi-quarter modernization efforts (e.g., reducing legacy dependencies, improving scalability, simplifying integrations) with a focus on cohesion, observability, and operational excellence.
• Identity and access systems: Design and improve authentication, authorization, account integrity, and identity lifecycle services with strong security and privacy posture.
• Engagement and insights foundations: Build and evolve the systems that power engagement signals, experimentation hooks, telemetry/analytics pipelines, and usage insights to support product iteration and growth.
• Developer velocity and platform enablement: Create reusable platform primitives, reference architectures, and best practices that make it easier for product teams to build safely and quickly.
• Cross-functional collaboration: Partner with Product, Design, Security, Infrastructure, and AI/ML teams to align technical decisions with customer outcomes and organizational priorities.
• Execution and quality: Own delivery of complex initiatives end-to-end—breaking down ambiguous problems, driving alignment, and ensuring high-quality implementation, testing, rollout, and oncall readiness.
• Mentorship and influence: Mentor senior engineers, review critical designs, elevate engineering standards, and influence technical direction across teams beyond your immediate scope.

Requirements

• 12+ years of software engineering experience, including significant experience designing and operating large-scale backend or platform systems.
• Proven ability to lead architecture for distributed systems with high reliability, performance, and security requirements.
• Strong expertise in at least two of the following areas: identity/authn/authz, service API design, analytics/telemetry infrastructure, search/retrieval foundations, experimentation platforms, or engagement systems.
• Track record of driving modernization efforts in complex environments (e.g., migrating legacy systems, improving data quality and observability, simplifying architecture).
• Excellent technical judgment and ability to balance speed, stability, and long-term maintainability.
• Strong communication skills: able to write clear design docs, align stakeholders, and lead technical decision-making across teams.

Preferred Qualifications

• Experience with cloud-scale identity platforms (SSO, session management, risk signals, account security, privacy controls).
• Familiarity with AI enablement infrastructure, especially data pipelines, engagement signals, retrieval/search systems, and feedback loops.
• Experience building or operating multi-tenant SaaS platforms with strong compliance and security requirements.
• Demonstrated ability to influence org-wide standards and technical strategy (beyond a single team), including mentorship of other tech leads and principals.

Compensation

Role Description

Responsibilities

• Technical leadership and architecture: Define and drive the technical roadmap for identity and engagement platform services, including APIs, service boundaries, data models, and reliability goals.
• Modernization and platform evolution: Lead multi-quarter modernization efforts (e.g., reducing legacy dependencies, improving scalability, simplifying integrations) with a focus on cohesion, observability, and operational excellence.
• Identity and access systems: Design and improve authentication, authorization, account integrity, and identity lifecycle services with strong security and privacy posture.
• Engagement and insights foundations: Build and evolve the systems that power engagement signals, experimentation hooks, telemetry/analytics pipelines, and usage insights to support product iteration and growth.
• Developer velocity and platform enablement: Create reusable platform primitives, reference architectures, and best practices that make it easier for product teams to build safely and quickly.
• Cross-functional collaboration: Partner with Product, Design, Security, Infrastructure, and AI/ML teams to align technical decisions with customer outcomes and organizational priorities.
• Execution and quality: Own delivery of complex initiatives end-to-end—breaking down ambiguous problems, driving alignment, and ensuring high-quality implementation, testing, rollout, and oncall readiness.
• Mentorship and influence: Mentor senior engineers, review critical designs, elevate engineering standards, and influence technical direction across teams beyond your immediate scope.

Requirements

• 12+ years of software engineering experience, including significant experience designing and operating large-scale backend or platform systems.
• Proven ability to lead architecture for distributed systems with high reliability, performance, and security requirements.
• Strong expertise in at least two of the following areas: identity/authn/authz, service API design, analytics/telemetry infrastructure, search/retrieval foundations, experimentation platforms, or engagement systems.
• Track record of driving modernization efforts in complex environments (e.g., migrating legacy systems, improving data quality and observability, simplifying architecture).
• Excellent technical judgment and ability to balance speed, stability, and long-term maintainability.
• Strong communication skills: able to write clear design docs, align stakeholders, and lead technical decision-making across teams.

Preferred Qualifications

• Experience with cloud-scale identity platforms (SSO, session management, risk signals, account security, privacy controls).
• Familiarity with AI enablement infrastructure, especially data pipelines, engagement signals, retrieval/search systems, and feedback loops.
• Experience building or operating multi-tenant SaaS platforms with strong compliance and security requirements.
• Demonstrated ability to influence org-wide standards and technical strategy (beyond a single team), including mentorship of other tech leads and principals.

Compensation

Role Description

Dropbox is looking for a Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. In this role you will build large, scalable analytics pipelines using modern data technologies. This is not a “maintain existing platform” or “make minor tweaks to current code base” kind of role. We are effectively building from the ground up and plan to leverage the most recent Big Data technologies. If you enjoy building new things without being constrained by technical debt, this is the job for you!

Responsibilities

• Define company data assets (data model), Spark, SparkSQL jobs to populate data models
• Define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage
• Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable 
• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

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 Spark, Python, Java, C++, or Scala development experience
• 5+ years of SQL experience
• 5+ years of experience with schema design, dimensional data modeling, and medallion architectures
• Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics
• Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact
• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• Experience designing, building and maintaining data processing systems

Preferred Qualifications

• 7+ years of SQL experience 
• 7+ years of experience with schema design, dimensional data modeling, and medallion architectures
• Experience with Airflow or other similar orchestration frameworks
• Experience building data quality monitoring using MonteCarlo or similar tools

Role Description

Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.

This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen.

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions
• Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards
• Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access
• Architect and implement a shift-left data governance strategy,  working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production
• Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement
• Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable
• Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• BS degree in Computer Science or related technical field, or equivalent technical experience
• 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership
• 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL)
• 8+ years of Python development experience, including building and maintaining production data pipelines
• Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains
• Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns
• Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries

Preferred Qualifications

• Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures
• Experience leading orchestration or platform modernization efforts at scale
• Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar
• Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent)
• Track record of establishing data engineering standards and best practices in a federated analytics organization

Compensation

Role Description

Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.

This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen.

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions
• Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards
• Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access
• Architect and implement a shift-left data governance strategy,  working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production
• Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement
• Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable
• Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• BS degree in Computer Science or related technical field, or equivalent technical experience
• 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership
• 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL)
• 8+ years of Python development experience, including building and maintaining production data pipelines
• Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains
• Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns
• Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries

Preferred Qualifications

• Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures
• Experience leading orchestration or platform modernization efforts at scale
• Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar
• Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent)
• Track record of establishing data engineering standards and best practices in a federated analytics organization

Compensation

Role Description

The Dash Experiences organization at Dropbox is responsible for shaping core user experiences across web, mobile, desktop, and emerging AI-powered surfaces. We’re looking for a Full Stack Software Engineer to join the Dash Experiences team and help build new, AI-first product experiences.

In this role, you will work on application design, development, and maintenance of AI-powered software applications within the Dropbox Dash product ecosystem. You’ll collaborate closely with cross-functional partners including product managers, data scientists, and ML engineers to build robust, scalable solutions that power user-facing experiences.

This is a 0→1 product environment, where you’ll contribute across the stack—from building frontend experiences in React to developing APIs and connecting backend systems. You’ll have the opportunity to learn, grow, and make meaningful product impact while working alongside experienced engineers in a highly collaborative setting.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Collaborate with product managers and stakeholders to understand business requirements and translate them into technical specifications for AI-powered software applications.
• Work closely with ML engineers to integrate AI components seamlessly into the overall software product architecture.
• Develop responsive and performant frontend applications using modern web technologies such as HTML, CSS, Typescript, and frameworks like React.
• Implement interactive user interfaces that effectively communicate complex AI functionalities and data insights to end-users.
• Work closely with UX/UI designers to ensure seamless integration of design elements, branding, and usability principles into the frontend development process.
• Collaborate with backend engineers to integrate frontend components with server-side logic and APIs, ensuring optimal performance and data flow.
• Optimize frontend performance to deliver fast and efficient user experiences, considering factors such as page load times, rendering speed, and responsiveness.
• Stay up to date with the latest trends and advancements in frontend development, UI/UX design, and AI technologies, bringing innovative ideas and best practices to the team.
• Participate in code reviews, knowledge sharing sessions, and provide mentorship to junior team members, fostering a collaborative and growth-oriented culture.

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5+ years of professional software engineering experience, including internships, co-ops, or equivalent project work.
• Experience building web applications using TypeScript and React.
• Ability to make data-driven decisions, using tools like Databricks.
• Familiarity with backend development concepts such as APIs and server-side logic.
• Ability to work across the stack and connect frontend applications to backend systems.
• Strong problem-solving skills and eagerness to learn.
• Clear communication skills and ability to collaborate with cross-functional partners.

Preferred Qualifications

• Experience with Python, Golang, or other backend languages.
• Familiarity with large-scale web platforms, microservice architecture and architecture patterns for large-scale code bases.
• Interest in AI-powered or data-driven product experiences.
• Comfortable working in early-stage or ambiguous product environments.
• Proactive mindset with curiosity about improving products and processes.

Compensation

Role Description

The Dash Experiences organization at Dropbox is responsible for shaping core user experiences across web, mobile, desktop, and emerging AI-powered surfaces. We’re looking for a Full Stack Software Engineer to join the Dash Experiences team and help build new, AI-first product experiences.

In this role, you will work on application design, development, and maintenance of AI-powered software applications within the Dropbox Dash product ecosystem. You’ll collaborate closely with cross-functional partners including product managers, data scientists, and ML engineers to build robust, scalable solutions that power user-facing experiences.

This is a 0→1 product environment, where you’ll contribute across the stack—from building frontend experiences in React to developing APIs and connecting backend systems. You’ll have the opportunity to learn, grow, and make meaningful product impact while working alongside experienced engineers in a highly collaborative setting.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Collaborate with product managers and stakeholders to understand business requirements and translate them into technical specifications for AI-powered software applications.
• Work closely with ML engineers to integrate AI components seamlessly into the overall software product architecture.
• Develop responsive and performant frontend applications using modern web technologies such as HTML, CSS, Typescript, and frameworks like React.
• Implement interactive user interfaces that effectively communicate complex AI functionalities and data insights to end-users.
• Work closely with UX/UI designers to ensure seamless integration of design elements, branding, and usability principles into the frontend development process.
• Collaborate with backend engineers to integrate frontend components with server-side logic and APIs, ensuring optimal performance and data flow.
• Optimize frontend performance to deliver fast and efficient user experiences, considering factors such as page load times, rendering speed, and responsiveness.
• Stay up to date with the latest trends and advancements in frontend development, UI/UX design, and AI technologies, bringing innovative ideas and best practices to the team.
• Participate in code reviews, knowledge sharing sessions, and provide mentorship to junior team members, fostering a collaborative and growth-oriented culture.

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5+ years of professional software engineering experience, including internships, co-ops, or equivalent project work.
• Experience building web applications using TypeScript and React.
• Ability to make data-driven decisions, using tools like Databricks.
• Familiarity with backend development concepts such as APIs and server-side logic.
• Ability to work across the stack and connect frontend applications to backend systems.
• Strong problem-solving skills and eagerness to learn.
• Clear communication skills and ability to collaborate with cross-functional partners.

Preferred Qualifications

• Experience with Python, Golang, or other backend languages.
• Familiarity with large-scale web platforms, microservice architecture and architecture patterns for large-scale code bases.
• Interest in AI-powered or data-driven product experiences.
• Comfortable working in early-stage or ambiguous product environments.
• Proactive mindset with curiosity about improving products and processes.

Role Description

The Principal Software Engineer is a highly skilled expert responsible for shaping and executing the organization’s intelligence vision. This role integrates expertise in Artificial Intelligence (AI), Machine Learning (ML), Automation, Data Analytics and Visualization to deliver transformative customer, partner, and colleague experiences that drive revenue growth and enhance productivity.

The position defines the technical direction for intelligence initiatives, leading the design, development, and deployment of robust, scalable, and secure AI solutions while fostering innovation through emerging technologies.

A critical aspect of the role is providing partnership, mentorship and technical guidance, cultivating a culture of excellence and continuous learning. Through close cross-functional collaboration across teams and stakeholders, the role ensures technical efforts are strategically aligned and deliver measurable impact. Additionally, the position plays a central role in strategic problem-solving, addressing complex challenges in intelligence systems and data pipelines, and making informed architectural decisions that ensure long-term scalability and success.

Responsibilities

• Define, drive, and communicate the technical vision for intelligence, AI, and data initiatives, ensuring alignment with CIT strategy, EPD goals, and broader organizational objectives.
• Take a holistic view of CIT systems and architecture to ensure they are scalable, reliable, secure, and maintainable over multiple years.
• Lead the design, development, and deployment of high performance AI systems, data pipelines, and intelligent services from conception through production.
• Make strategic architectural decisions to address complex AI, data, and platform challenges, balancing short term delivery with long term resilience and scalability
• Identify opportunities to simplify systems, reduce operational and security risk, and improve developer productivity.
• Contribute directly to prototyping, proof of concepts, and implementation of technical components when needed to validate strategy, de risk decisions, or accelerate progress.
• Architect, evolve, and scale AI, automation, and intelligence platforms that enable advanced analytics, personalization, search, and intelligent decision making.
• Drive innovation in intelligence models, distributed training, optimization techniques, and data engineering to maximize performance, quality, and business impact.
• Enhance search and discovery capabilities using intelligent algorithms, natural language processing, and modern data systems.
• Evaluate, select, and integrate emerging technologies in AI, ML, and automation to maintain a competitive and forward looking technical posture.
• Partner across engineering, product, design, infrastructure, and other stakeholders to ensure intelligence initiatives directly support strategic objectives.
• Translate technical capabilities and advancements into clear business outcomes that improve productivity, efficiency, and growth.
• Resolve conflicting requirements and priorities with sound technical judgment that favors long term organizational outcomes over local optimization.
• Advocate for intelligence driven solutions across the organization and influence company wide technical priorities.
• Act as a trusted technical advisor to senior engineering leadership, with IC6 scope extending to org wide and EPD level strategy.
• Provide mentorship and technical guidance to engineers and data scientists from mid level through senior, fostering continuous learning and technical excellence.
• Serve as a technical multiplier by raising the effectiveness of surrounding teams through design reviews, code reviews, architectural guidance, and pragmatic execution.
• Facilitate knowledge sharing across teams through documentation, design writeups, technical discussions, and mentorship programs.
• Act as a voice for engineers by synthesizing feedback, surfacing gaps and risks, and communicating them clearly to leadership.
• Contribute to multi year technical vision and roadmap planning, anticipating future scale, complexity, and organizational needs.
• Identify architectural, operational, and security risks early and mobilize proactive mitigation plans across org boundaries.
• Partner closely with managers, product leaders, and senior engineers to ensure ambitious initiatives remain feasible, sustainable, and well aligned.
• For IC6 scope, influence technical direction beyond CIT and partner directly with senior EPD leadership on company wide strategy.
• Lead and support critical, high impact initiatives by defining technical direction, clarifying requirements, gathering estimates, and ensuring delivery against milestones.
• Drive execution on complex projects with significant ambiguity or high cost of failure.
• Improve engineering effectiveness by championing best practices such as CI, automated testing, reliability reviews, and clear ownership models.
• Promote a bias toward action, thoughtful experimentation, and continuous learning.
• Model excellence in engineering craft, collaboration, accountability, and inclusive behavior.
• Lead by example in living Dropbox values, including integrity, ownership, simplicity, and inclusivity.
• Support hiring by interviewing, calibrating candidates against a high technical bar, and representing Dropbox authentically to candidates and partners.

Requirements

• 12+ years of professional experience in software engineering, with depth in areas such as intelligent workflows, enterprise scale AI adoption, automation, or data engineering.
• Proven track record of leading large scale, multi team technical initiatives from conception to production, including solving ambiguous problems, setting technical vision, and driving impact without direct authority.
• Strong architectural judgment and systems thinking, with the ability to balance short term delivery with long term sustainability, scalability, and operational excellence.
• Demonstrated ability to influence across teams and disciplines through technical leadership, collaboration, and sound decision making rather than formal authority.
• Experience mentoring engineers and raising the technical bar of an organization through design reviews, code reviews, and technical guidance.
• Exceptional written and verbal communication skills, with the ability to clearly explain complex technical concepts, translate technical strategy to diverse audiences, and influence stakeholders at all levels.

Role Description

The Principal Software Engineer is a highly skilled expert responsible for shaping and executing the organization’s intelligence vision. This role integrates expertise in Artificial Intelligence (AI), Machine Learning (ML), Automation, Data Analytics and Visualization to deliver transformative customer, partner, and colleague experiences that drive revenue growth and enhance productivity.

The position defines the technical direction for intelligence initiatives, leading the design, development, and deployment of robust, scalable, and secure AI solutions while fostering innovation through emerging technologies.

A critical aspect of the role is providing partnership, mentorship and technical guidance, cultivating a culture of excellence and continuous learning. Through close cross-functional collaboration across teams and stakeholders, the role ensures technical efforts are strategically aligned and deliver measurable impact. Additionally, the position plays a central role in strategic problem-solving, addressing complex challenges in intelligence systems and data pipelines, and making informed architectural decisions that ensure long-term scalability and success.

Responsibilities

• Define, drive, and communicate the technical vision for intelligence, AI, and data initiatives, ensuring alignment with CIT strategy, EPD goals, and broader organizational objectives.
• Take a holistic view of CIT systems and architecture to ensure they are scalable, reliable, secure, and maintainable over multiple years.
• Lead the design, development, and deployment of high performance AI systems, data pipelines, and intelligent services from conception through production.
• Make strategic architectural decisions to address complex AI, data, and platform challenges, balancing short term delivery with long term resilience and scalability
• Identify opportunities to simplify systems, reduce operational and security risk, and improve developer productivity.
• Contribute directly to prototyping, proof of concepts, and implementation of technical components when needed to validate strategy, de risk decisions, or accelerate progress.
• Architect, evolve, and scale AI, automation, and intelligence platforms that enable advanced analytics, personalization, search, and intelligent decision making.
• Drive innovation in intelligence models, distributed training, optimization techniques, and data engineering to maximize performance, quality, and business impact.
• Enhance search and discovery capabilities using intelligent algorithms, natural language processing, and modern data systems.
• Evaluate, select, and integrate emerging technologies in AI, ML, and automation to maintain a competitive and forward looking technical posture.
• Partner across engineering, product, design, infrastructure, and other stakeholders to ensure intelligence initiatives directly support strategic objectives.
• Translate technical capabilities and advancements into clear business outcomes that improve productivity, efficiency, and growth.
• Resolve conflicting requirements and priorities with sound technical judgment that favors long term organizational outcomes over local optimization.
• Advocate for intelligence driven solutions across the organization and influence company wide technical priorities.
• Act as a trusted technical advisor to senior engineering leadership, with IC6 scope extending to org wide and EPD level strategy.
• Provide mentorship and technical guidance to engineers and data scientists from mid level through senior, fostering continuous learning and technical excellence.
• Serve as a technical multiplier by raising the effectiveness of surrounding teams through design reviews, code reviews, architectural guidance, and pragmatic execution.
• Facilitate knowledge sharing across teams through documentation, design writeups, technical discussions, and mentorship programs.
• Act as a voice for engineers by synthesizing feedback, surfacing gaps and risks, and communicating them clearly to leadership.
• Contribute to multi year technical vision and roadmap planning, anticipating future scale, complexity, and organizational needs.
• Identify architectural, operational, and security risks early and mobilize proactive mitigation plans across org boundaries.
• Partner closely with managers, product leaders, and senior engineers to ensure ambitious initiatives remain feasible, sustainable, and well aligned.
• For IC6 scope, influence technical direction beyond CIT and partner directly with senior EPD leadership on company wide strategy.
• Lead and support critical, high impact initiatives by defining technical direction, clarifying requirements, gathering estimates, and ensuring delivery against milestones.
• Drive execution on complex projects with significant ambiguity or high cost of failure.
• Improve engineering effectiveness by championing best practices such as CI, automated testing, reliability reviews, and clear ownership models.
• Promote a bias toward action, thoughtful experimentation, and continuous learning.
• Model excellence in engineering craft, collaboration, accountability, and inclusive behavior.
• Lead by example in living Dropbox values, including integrity, ownership, simplicity, and inclusivity.
• Support hiring by interviewing, calibrating candidates against a high technical bar, and representing Dropbox authentically to candidates and partners.

Requirements

• 12+ years of professional experience in software engineering, with depth in areas such as intelligent workflows, enterprise scale AI adoption, automation, or data engineering.
• Proven track record of leading large scale, multi team technical initiatives from conception to production, including solving ambiguous problems, setting technical vision, and driving impact without direct authority.
• Strong architectural judgment and systems thinking, with the ability to balance short term delivery with long term sustainability, scalability, and operational excellence.
• Demonstrated ability to influence across teams and disciplines through technical leadership, collaboration, and sound decision making rather than formal authority.
• Experience mentoring engineers and raising the technical bar of an organization through design reviews, code reviews, and technical guidance.
• Exceptional written and verbal communication skills, with the ability to clearly explain complex technical concepts, translate technical strategy to diverse audiences, and influence stakeholders at all levels.

About Us

Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.

We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. 

About the Role

We are seeking a highly motivated and customer-facing Solutions Consultant/Sales Engineer to support our growth across Latin America. This role will partner closely with Sales, Product, and Customer Success teams to drive technical discovery, solution design, technical scoping, and business value for enterprise merchants in the payments and fraud prevention space. The ideal candidate has deep knowledge of ecommerce, payments, fraud/risk management, and can effectively communicate technical concepts in both English and Spanish or Portuguese.

What You'll Doing

• Partner with Account Executives to support the full sales cycle from discovery through close and internal technical handover to implementation teams.
• Lead technical discovery sessions to understand client payment flows, fraud challenges, and business KPIs
• Design and present tailored solutions, including
• Fraud detection strategies (machine learning, risk scoring, policy creation)
• Payment orchestration and optimization
• Deliver compelling product demos, support Proof of Value/Proof of Concepts, and technical presentations
• Translate customer requirements into technical specifications for internal teams
• Act as a trusted advisor to prospects on:
  • Fraud prevention best practices
  • Chargeback mitigation strategies
  • Payment authorization optimization
• Support RFP/RFI responses and technical documentation
• Collaborate with Product and Engineering teams to provide feedback from prospects/existing customers.
• Assist with onboarding handoff to implementation/customer success teams
  
  

Qualifications

• 5+ years of experience in solutions consulting/sales engineering/pre-sales OR Fraud/Risk/Payments roles with client facing exposure required
• Fluent in English and Spanish required, fluency in Portuguese a plus 
• Strong domain expertise in Ecommerce platforms and payment ecosystems (gateways, PSPs, acquirers, issuers), fraud prevention (chargebacks, dispute management, risk signals, AI/ML models) required
• Experience working with, APIs and basic systems integrations
• Proven ability to present to both technical and business stakeholders
• Experience working with fraud prevention SaaS providers preffered
• Experience supporting enterprise or mid-market accounts preferred
• Background in data analysis/ROI (BI tools, SQL, etc.) preferred
• Prior experience supporting LATAM markets 
• Ability to travel as needed for conferences/prospects meetings 

Please submit your CV/resume in English 

In the News

Reuters: General Atlantic-backed Riskified valued at $4.3 bln in NYSE debut

Fortune Magazine: Riskified named Best Workplaces in New York for 2022

The Muse: Q&A with Sales Enablement Manager Benedikt Parstorfer

Globes: Riskified is among Israel’s fastest growing companies 

TechCrunch: Riskified Prevents Fraud on Your Favorite E-commerce Site

CTech: Riskified’s VP HR on Post-COVID Flexible Work Routines

Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

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 Design award winner for inclusivity for 2025.

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

With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
• Shape the future of our Android team
• Own, maintain and improve reliability metrics for key features
• Participate in discussions across different teams - Product, Design, Engineering
• Review pull requests, and support other teammates
• Handle critical issues or cope with unexpected challenges 
• Take ownership of feature releases and provide nightly builds for the QA team

An Ideal Candidate Should Have

• 5+ years of software engineering experience
• Familiarity with Android components
• Experience building or contributing to at least one Android app
• Product design intuition and user empathy
• Drive to push the boundaries of Android UI/UX
• Understanding of the importance of tests and how to approach writing tests
• Self-drive to improve the app and codebase above and beyond what's outlined in the spec
• Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
• Excellent communication skills
• User oriented problem solving approach
• Driven with continuous feedback from leaders

Bonus:

• Experience building, maintaining, or otherwise contributing to open source projects in Android
• Experience with iOS, Web or NodeJS

Technologies we use:

• Kotlin
• Kotlin Coroutines
• Kotlin Flow
• Jetpack Navigation
• Dagger 2
• Room
• Custom Views, Canvas & Paint
• Jetpack Compose
• JUnit

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.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

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

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

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

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

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

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.

At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.  

Our core corporate functions (Finance, Supply Chain) are critical to Lyft’s success.  The health and sustainability of our applications, systems, tooling and processes are critical for daily operations and for Lyft’s ability to grow.  This Technical Business Systems Engineering role is responsible for supporting and sustaining Lyft's corporate systems through integration management, performance monitoring, incident response, automated workflows, and robust alerting. We are seeking an experienced Oracle Fusion ERP Technical Engineer with 4 - 5 years of hands-on expertise who can operate at the intersection of Technology, and Business Operations - developing, and optimizing the Oracle Fusion Cloud technical solutions that drive Lyft's financial ecosystem. The ideal candidate is proactive, detail-oriented, analytical, and service-focused, with the technical depth and business acumen to effectively partner with stakeholders across the organization.

Your Key Responsibilities:

• Develop robust and scalable solutions using Oracle Fusion technical tools including OTBI, BI Publisher, FBDI, REST/SOAP APIs, and Oracle Integration Cloud (OIC).
• Possess extensive experience in the technical components, configurations, and underlying processes of core Oracle Fusion Financial & Supply Chain modules.
• Build and maintain integrations between Oracle Fusion Financials and boundary applications such as tax engines, billing platforms, banking systems, and payment gateways.
• Develop custom reports, dashboards, and analytics using OTBI, BICC, BI Publisher, and Oracle Fusion Data Intelligence (FDI) to meet finance and operations reporting needs.
• Extensive experience in writing and optimizing SQL and PL/SQL scripts for data extraction, transformation, and validation.
• Experienced in partnering closely with Functional Finance teams to provide hands-on technical support during time-sensitive month-end and period-close activities, ensuring timely resolution of issues, data accuracy, and seamless execution of close processes.
• Exposure to Oracle AI Agent Studio with hands-on experience developing intelligent automations and AI-driven workflows.
• Build and maintain bank transmissions and other out-of-box Oracle transmission formats, working directly with banking partners to ensure seamless integration.
• Apply thorough knowledge of Host-to-Host (H2H) connections, including key exchange concepts, security protocols, and related connectivity standards.
• Manage Oracle Fusion Cloud environments across Development, Test, UAT, and Production, including refreshes, patch releases, quarterly updates, and version upgrades.
• Experience in supporting SOX compliance by gathering, preparing, and providing accurate and timely evidence for SOX controls, audits, and internal control assessments.
• Monitor infrastructure and application performance to enhance system resilience and business continuity.
• Proficient in creating Technical Design Documents (TDDs) and configuration workbooks, with hands-on experience supporting end-to-end testing cycles to ensure solution quality and alignment with business requirements.
• Work with Oracle Support by raising and managing Service Requests (SRs), driving issues through to effective and timely resolution.
• Collaborate with cross-functional teams to gather requirements and deliver efficient, scalable, and robust technical solutions.
• Demonstrate a proactive willingness to identify process improvement opportunities, and propose innovative technical solutions that bring measurable value to teams and enhance existing workflows
• Maintain thorough, up-to-date documentation of system configurations, integrations, workflows, and business requirements.
• Proficient in applying both Agile and Waterfall project methodologies across development, testing, and release activities, with the ability to adapt to the delivery model best suited to the project requirements.

Skills & Attributes:

• 4 - 5 years of work experience in IT systems with deep technical knowledge of Oracle Fusion Cloud Financial & Supply Chain modules.
• Enthusiastic about learning new technologies and staying current with emerging tools
• Strong problem-solving and troubleshooting skills with the ability to exercise mature judgment in complex and ambiguous situations. 
• Collaborative team player who thrives in cross-functional environments, fosters a culture of knowledge sharing, and contributes positively to team dynamics and collective success.
• Self-motivated and driven professional with a strong sense of ownership, proactively identifying opportunities for improvement and seeing them through to completion with minimal supervision.
• Good understanding of the software development lifecycle (SDLC) with solid familiarity across development, support, and release management activities.
• Experience transforming data and automating processes using scripting languages such as Python, with a focus on reducing manual effort and improving operational efficiency.

Please submit your resume in English.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Our core corporate functions (Finance, Supply Chain) are critical to Lyft’s success.  The health and sustainability of our applications, systems, tooling and processes are critical for daily operations and for Lyft’s ability to grow.  The Business Systems Engineer possesses both business and technical acumen. This engineering role provides support for Lyft’s Corporate systems, managing their daily performance and incidents, implementing effective monitoring and alerting tools, creating automated workflows, building customer solutions, developing software, configuring applications, providing end user training and protecting all system related information assets.    

To effectively support our business stakeholders, candidates for this role must be proactive, detail oriented, highly subject oriented, analytical, service focussed and possess the ability to execute the following skills.

Your Key Responsibilities:

• Serve as a skilled Oracle Fusion Order-to-Cash (O2C) Techno-Functional professional, acting as a strategic bridge between business and technical teams to support and continuously enhance ERP Financials, O2C lifecycle, and Manufacturing modules within Oracle Fusion Cloud Applications or Oracle R12.
• Apply functional expertise alongside hands-on technical knowledge in integrations, reporting, and issue resolution, delivering results in a dynamic, client-facing environment.
• Support end-to-end O2C processes encompassing Customer & Account Setup, Order Management, Pricing & Discounts, Shipping & Fulfillment, Billing & Invoicing, Receivables & Cash Applications, Lockbox Functionality, and Collections & Adjustments.
• Bring a minimum of 4 years of hands-on implementation experience across a combination of Oracle Financials and Supply Chain modules, including Accounts Receivables, Plan to Manufacture, General Ledger, Subledger Accounting, Cash Management, and Order to Cash.
• Experience in subscription and usage-based billing environments, with an understanding of integrations with CRM, billing, and tax platforms can be an added advantage.
• As a Business Systems Engineer, you are responsible for capturing, analyzing and estimating customer business requirements and translating them into Oracle Cloud ERP and Boundary apps solution architecture that fits within the business objectives.Must be able to quickly engage in calls with the Business and stakeholders to provide immediate support during critical periods, such as the month-end close process or any other high-priority task.
• Demonstrate a strong drive to learn and investigate in the event of urgent and novel issues.
• Should be capable of coordinating the design, interpreting requirements, and translating them into ERP configurations, with expertise in Oracle Fusion setups.
• Should be completely hands on and have the ability to identify issues and track them to closure.
• Maintain good level knowledge of Accounting and Basic Business Process Flows, with solid exposure to data migration using FBDI (File-Based Data Import).
• Leverage SQL, PL/SQL, BI, OTBI reporting tools to drive data-driven insights and reporting solutions (preferred and added advantage).
• Coordinate and manage design, development, and testing activities across project phases to ensure timely and high-quality delivery.
• Show interest to Technology Innovation by staying ahead of emerging trends including Generative AI and Agentic AI to proactively identify and implement opportunities that drive O2C performance and operational efficiency.
• Drive calls with O2C Business stakeholders weekly to access and work on priorities and enhancements and get involved in month end activities during Period close.
• Work closely with Integration teams and other boundary applications to build, test, and deploy seamless connections with CRM,platform, and other supporting systems.
• Communicate effectively with diverse stakeholders through verbal, written, and presentation skills, utilizing tools such as Google Slides and Lucidchart.
• Apply problem-solving and troubleshooting capabilities with judgment to resolve technical and functional challenges within O2C.
• Maintain comprehensive and up-to-date documentation of system requirements, configurations, and processes in line with organizational standards.
• Oversee the deployment of new software releases, version upgrades, patch updates, and critical incident management.
• Experience in supporting SOX compliance by gathering, preparing, and providing accurate and timely evidence for SOX controls, audits, and internal control assessments.
• Work with Oracle Support by raising and managing Service Requests (SRs), driving issues through to effective and timely resolution.
• Manage stakeholder expectations and develop detailed, actionable implementation plans to support successful project delivery.
• Apply Agile methodology across software development, systems integration, and application configuration activities to drive iterative and efficient delivery.
• Maintain thorough, up-to-date documentation of system configurations, integrations, workflows, and business requirements.

Skills & Attributes:

• Brings 4-5 years of IT systems experience with domain expertise in Order to Cash processes within Oracle Fusion Cloud, demonstrating a strong command of functional and technical(good to have) aspects of the saas platform..
• Has a good working understanding of the software development lifecycle, with growing familiarity in development, enhancement, and day-to-day support activities.
• Should be comfortable enough to report to a Senior level Business Systems Engineer.
• A reliable and collaborative team member who works effectively in cross-functional settings, actively participates in knowledge sharing, and contributes constructively to team goals and a positive team culture.
• Should show the urge to learn new things and easily adaptable and scalable to new technologies.
• Adapt at bridging the gap between business and technology comfortable engaging empathetically with stakeholders across all levels, from Support business owners to technical partners, ensuring needs are accurately captured and clearly communicated.

Please submit your resume in English.