Principal Programmer – Simulation Development
Salary: $120K–$150K plus bene’s
Location: Remote (excludes NY & CA)

Our client is seeking an experienced Principal Programmer to lead their Simulation
Development team. This role is ideal for a Unity expert who can architect core systems, mentor developers, and drive technical innovation across multiple products.

Responsibilities
● Architect and implement complex systems and tools in Unity
● Lead technical initiatives, evaluate and integrate new tech
● Mentor junior programmers and establish best practices
● Collaborate with design, art, and production teams
● Optimize performance across platforms
● Contribute to technical documentation and code reviews

Requirements
● 8+ years programming experience (games/simulation or related)
● Expert in Unity3D (C#) with deep architectural knowledge
● Proven experience with Unity ECS
● Advanced Git workflows (branching/merging)
● Strong performance profiling & optimization skills
● Solid grasp of design patterns and clean architecture
● Excellent problem-solving and communication skills

Bonus Skills
● Other engines/languages
● Shader development (HLSL/GLSL, Shader Graph)
● Networking/multiplayer implementation
● Agile methodology (Scrum/Kanban)
● Portfolio of shipped titles

Benefits
● Remote role (no NY or CA)
● $120K–$150K salary + full benefits (401k, health, PTO, holidays)
● Collaborative and growth-focused environment
● Background check required

About the Role
Join our dynamic Incentives Development team, where innovation, collaboration, and technical excellence drive everything we do. As a Software Developer, you’ll contribute to the Varicent Incentives platform—a single-page web app. You’ll work closely with developers, designers, and data scientists to build modern, scalable features that deliver exceptional user experiences.

What You’ll Do

• Develop and refine features to support client success and platform growth
• Collaborate in a cross-functional, knowledge-sharing team
• Work with modern tools and open-source technologies where applicable
• Troubleshoot, optimize, and maintain robust code

What We’re Looking For

• 5 to 8 years of relevant backend development experience, ideally with data-intensive systems.
• Strong proficiency in at least one backend language (C#, Java, C++).
• Hands-on AWS experience (EC2, S3, Lambda, RDS/Redshift, DynamoDB, etc.).
• Knowledge of ELT/ETL concepts and large-data challenges.
• Solid software design fundamentals and passion for clean, maintainable code.
• Strong communication skills and English level B2 or higher

🟢 Candidates must be based in Mexico
📄 Only resumes submitted in English will be considered

FIRST 30 DAYS: GETTING STARTED  

• Learn and get familiar with our development process, codebase, coding standards and tools.
• Participate in team meetings, collaborate with colleagues, and effectively communicate progress and challenges.
• Complete small well-defined tasks or bug fixes to demonstrate ability to write good code.  

FIRST 60 DAYS: BUILDING MOMENTUM 

• Become more independent in handling assigned tasks, requiring less supervision and guidance.
• Demonstrate ability to take on more complex assignments, such as implementing new features or modules.  
• Demonstrate an improved ability to troubleshoot and resolve issues efficiently.
• Adhere to coding standards, produce well-documented and maintainable code and participate in code reviews.  
• Collaborate with the team and provide valuable input during discussions.  

FIRST 90 DAYS: HITTING YOUR STRIDE  

• Meet project deadlines consistently and deliver high-quality work.
• Learn continuously and keep up with industry trends and new technologies.
• Identify areas of improvement in the development process and suggest solutions to enhance efficiency and productivity.  
• Make a positive impact on the project and the team's success.  

Note  

• Candidates selected for this position will be hired by Varicent’s designated professional employer organization. Your employment may be transferred to a local Varicent entity in the future. In such event, Varicent may recognize your seniority and provide you with comparable role, responsibilities and benefits.  We are excited to welcome you and support you throughout this journey!
• This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders.
• This position is fully remote. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home or a co-working space we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

Benefits  

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

We are seeking a highly skilled and motivated Senior Data Engineer to join our Credit Platform Data team. In this pivotal role, you will be responsible for designing, building, and maintaining scalable and reliable data pipelines and ETL processes that empower our internal business units with efficient data processing and utilization. Your expertise will directly impact the quality and accessibility of data, enabling data-driven decision-making across the organization. Collaborating closely with product managers, analysts, and stakeholders, you will translate complex data requirements into robust engineering solutions that handle large volumes of data with high performance and scalability.

• Architect, develop, and maintain scalable data pipelines and ETL workflows that support the ingestion, transformation, and storage of large datasets from diverse sources.
• Implement automated data quality checks and validation processes to ensure the accuracy, consistency, and reliability of data across systems.
• Work closely with product managers, data analysts, and business stakeholders to gather and understand data requirements, translating them into technical specifications and actionable engineering tasks.
• Continuously monitor and optimize data systems for performance, scalability, and cost-efficiency, ensuring that data infrastructure meets evolving business needs.
• Diagnose and resolve data-related issues promptly, providing root cause analysis and implementing preventive measures.
• Maintain comprehensive documentation of data pipelines, ETL processes, and system architecture. Participate in design and code reviews to uphold high engineering standards.
• Stay abreast of emerging data engineering technologies, tools, and best practices to drive innovation and continuous improvement within the team.
• Provide guidance and mentorship to junior data engineers, fostering a culture of knowledge sharing and technical excellence.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• SQL: Expert-level proficiency in SQL for querying, manipulating, and optimizing relational databases. Ability to write complex queries, optimize performance, and work with large datasets efficiently.
• Python: Strong programming skills in Python, including experience with data processing libraries such as Pandas. Ability to develop robust, maintainable, and scalable data processing scripts and automation tools.
• PySpark: Proficient in using PySpark for distributed data processing on large-scale datasets. Experience with Spark’s DataFrame API, RDDs, and performance tuning in a big data environment.
• ETL (Extract, Transform, Load): Deep understanding of ETL concepts and hands-on experience designing and implementing ETL pipelines that ensure data integrity and efficiency.
• Data Modeling: Expertise in data modeling techniques to design logical and physical data models that support efficient querying and reporting. Familiarity with normalization, denormalization, and schema design best practices.
• Relational Databases: Experience working with relational database management systems (RDBMS) such as Oracle, MySQL, or similar platforms. Knowledge of database design, indexing, and query optimization.
• Data Warehousing: Solid understanding of data warehousing concepts, architectures, and best practices. Experience building and maintaining data warehouses that support business intelligence and analytics.
• Unix/Linux: Proficiency in Unix/Linux operating systems for managing data workflows, scripting, and system monitoring.
• Shell Scripting: Ability to write shell scripts to automate routine tasks, manage data pipelines, and integrate with other system components.
• Automation Testing: Experience implementing automated testing frameworks for data pipelines and ETL processes to ensure data quality and system reliability.
• Bachelor’s Degree: A Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Professional Experience: Minimum of 3+ years of proven experience as a Data Engineer or in a similar role, with a strong background in database development, ETL processes, and software development.

We help companies hire pre-vetted remote software developers who have solid skills and work in their timezone.

About the position:

We are looking for an Engineering Manager who can balance both technical contributions (read: write code) and people management. In this role, you will partner closely with engineering leadership to drive the overall technical direction of the Platform team over our next phase of growth. You’ll get to work cross-functionally to support the launch of new products and features by building out the data architecture that informs and drives insights at Stellar. 

Our team offers an experienced and mature engineering culture and an environment where every single engineer has a direct impact on the success of our business. Your mission will be to provide Stellar with cutting-edge, reliable, and easy-to-use infrastructure for ingesting, storing, processing, and extracting valuable insights from data in order to enable downstream users to be successful. The team is tight-knit with high ownership, so your work will have a meaningful impact on our ability to directly improve patient access to health care. 

The Platform handles external integrations, data ingestion, normalization and transformation. In partnership with our technical implementation and analytics teams, it also owns data quality, performance measurement and enables advanced analytics and data science applications.

On this team, you’ll build and manage ETLs and the infrastructure that makes them easily configurable and more automated. You’ll orchestrate complex workflows that process billions of claims for millions of patients, and you’ll create foundational data models that allow our analytics partners to build quickly and safely on top of robust, correct data.

Key highlights and technical challenges of this team:

• Handle data from 10M+ patients being ingested on a regular cadence, often in a fully automated way. 
• Build and maintain over 60 integrations, including batch processing and event based processing, doubling every year.
• Maintain a high degree of data safety and quality.
• Continue to lower costs, decrease turn around time and raise quality from data ingestion to data consumption to insight generation. 
• Create tools, automation and framework to streamline and build reliable data ingestion pipelines.

What you’ll do:

• Own the technical direction and impact of the Platform team. You’ll be responsible for its capabilities, quality and capacity
• Manage and grow the team. Actively participate in the recruiting and retention of team members.
• Write production quality code and provide effective and constructive feedback by reviewing others’ designs and work.
• Set consistent standards for code; testing and fixing bugs throughout the process and managing your team to do the same
• Contribute to Stellar’s Engineering Culture. Participate in x-org technical and leadership forums to create a high performing organization.
• Work with senior engineering and product leaders in aligning on product roadmaps, specifications, and priorities.

As Engineering Manager you should have:

• At least ten years of total experience, with recent hands-on experience writing production level code (Python (preferred) / Java / C++ / Go)
• At least 3 years of experience managing software development teams with hands-on involvement in system architecture, design and performance
• Experience in a platform or infrastructure role (large scale system architecture design and implementation, with a focus on APIs, storage, data pipelines)
• Expertise in a cloud platform such as AWS (preferred), GCP, Azure
• Expertise in relational databases, such as PostgreSQL
• Experience with Django or with a similar web framework

Who will love this job:

• You are excited about a role that asks you to lead by example. 
• You thrive in leadership roles and want to support your direct reports. 
• You have the ability to wear many hats and no job is too small for you.
• You get things done and you love working in a dynamic environment; we move quickly and we need a teammate who will too.
• You understand, appreciate, and enjoy the responsibility and accountability that comes with being assigned high-level ownership over projects and their success.
• You have a knack for explaining technical processes concisely (even to non-engineers), and work well with cross-functional internal teams.
• With the right support, you’re not afraid of navigating ambiguity – you are looking to learn and grow

Pay:

The salary range for this role is $220,000 - $260,000 and will be eligible for performance based variable compensation. Where a new hire falls within this range will be based on their individual skills and experience, and how these competencies compare across other employees in the same role. Stellar's bands are designed to allow for individual compensation growth within the role.  As such, new hires typically start at the lower end of the range.  Stellar rewards performance and outcomes - should you join the company, you will have the opportunity to grow your salary over time.

Stellar reserves the right to change our compensation bands at any time.

🌍 In a world with deep supply chain disruptions, true omni-channel networks, and sustainability-minded consumers, there is a need for next-generation inventory systems.

🍯 That’s why we are building Syrup, an AI-powered predictive software for inventory decisions in commerce. By leveraging more data in real-time, we empower merchandising and planning teams with allocation, ordering, and planning recommendations.

🚀 Our mission is for commerce to no longer be a wasteful industry, as our intelligent platform empowers inventory excellence at every step in the value chain.

👔 We're VC-backed by Google's AI fund (Gradient Ventures), as well as former executives from Adidas, Zalando, ASOS, Reebok, Bonobos, Salesforce, ThredUp, and Stripe. We're working with fast-growing brands such as Faherty, Reformation, and Desigual.

As a Senior Data Engineer, you will be an integral part of our core team, driving the development of our groundbreaking data ingestion and processing pipeline. This role offers a unique opportunity to contribute to a predominantly greenfield project in a fast-growing, machine-learning startup. You will collaborate closely with a dynamic and diverse team of data scientists, software engineers, business experts, and visionaries.

In this critical engineering function, you will play a key role in revolutionizing how inventory decisions are made for apparel brands and retailers. Join us on our mission to empower 100x better decision-making through the creation of intuitive and predictive software!

• Lead the development and implementation of our state-of-the-art data ingestion and processing pipeline.

• Partner with product managers, data scientists, and other engineers to deliver an accurate and robust data infrastructure managing first and second-party data.

• Collaborate on a predominantly greenfield project, leveraging your expertise to drive innovation and deliver impactful solutions.

• Contribute to a fast-growing startup, where your ideas and contributions will have a direct and meaningful impact.

• Be part of a dynamic and diverse team that values collaboration, creativity, and pushing the boundaries of what's possible.

• Play a pivotal role in building intuitive and predictive software that will redefine decision-making processes in the industry.

• Proven experience in a fast-paced startup environment, successfully building new systems from prototype to production.

• Collaborative mindset, able to work with customers, partners, Customer Success, Product and Analytics teams.

• Demonstrated pragmatic technical judgment in selecting and adapting data processing infrastructure, with a focus on scalability and building a robust data pipeline.

• Ability to start small and incrementally extend application functionality while improving scalability and performance.

• Strong commitment to operational excellence, ensuring the smooth operation of an always-on, always-shipping SAAS product.

• 4+ years of experience as a Data Engineer

• Information Architecture, Data Engineering, and Data Warehousing, including proficiency in maintaining data quality, data versioning, and data documentation.

• Database architecture and data modeling, optimizing index performance, handling large time series datasets, working with stored procedures, star schema, snowflake schema, dimension tables, and fact tables.

• In-depth knowledge of PostgreSQL and its optimization techniques.

• Experience in optimizing data models and access patterns for modern warehouse and orchestration platforms such as Snowflake, Redshift, Databricks, Spark, DBT, Apache Airflow, and Prefect.

• Proficiency in Python, Pandas, and working with columnar formats like parquet and avro.

• Proven expertise in integrating large-scale external datasets, including tabular, text, and image data, through APIs, FTP, S3, or web scraping, building reliable and repeatable pipelines.

• Strong background in cloud deployment, infrastructure automation, and CI/CD, particularly with AWS S3, EC2, Lambda, and the ability to seamlessly integrate cloud-based infrastructure into the development lifecycle.

• Experience with data visualization/BI tools like Tableau, DOMO, PowerBI, or Looker is a plus

Fun, friendly, respectful, collaborative, diverse, driven, mission-oriented – that’s Syrup! We're a group of driven people who want to make a difference in the world by building game-changing software. We care deeply about people, planet and product. Concretely, we offer:

• Remote First: We’re a remote first team across Europe and East Coast North America. For our colleagues in New York, you can come into our office in SoHo as often as you like.

• Syrup summits: We bring the whole global team together every quarter for our Syrup summits. Previous locations: Spain, Italy, Los Angeles, Warsaw, Boston, New York.

• Equity: We offer generous equity compensation for all our early employees.

• Generous health, vision, and dental coverage to our employees.

• Generous PTO to take all the time you need, whenever you need it.

We offer competitive base pay with the NYC salary range of $140,000 - $180,000, and a similarly competitive range in other locations, commensurate with experience, generous early-stage equity package, and benefits including medical/dental/vision.

• 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.

<p><strong>Position Summary:</strong> <br> <br>We are looking for a talented Senior Data Platform Engineer to join our Blockchain team, to participate in the development of the data collection and processing framework to integrate new chains. This is a remote role and we are flexible with considering applications from anywhere in Europe. <br> <br>More details: crystalblockchain.com <br> <br><strong>Duties and responsibilities:</strong> </p><ul><li>Integration of blockchains, Automated Market Maker (AMM) protocols, and bridges within Crystal's platform; </li></ul><ul><li>Active participation in development and maintenance of our data pipelines and backend services; </li></ul><ul><li>Integrate new technologies into our processes and tools; </li></ul><ul><li>End-to-end feature designing and implementation; </li></ul><ul><li>Code, debug, test and deliver features and improvements in a continuous manner; </li></ul><ul><li>Provide code review, assistance and feedback for other team members. </li></ul><p><strong>Required:</strong> </p><ul><li>8+ years of experience developing Python backend services and APIs; </li></ul><ul><li>Advanced knowledge of SQL - ability to write, understand and debug complex queries; </li></ul><ul><li>Data Warehousing and database basic architecture principles; </li></ul><ul><li>POSIX/Unix/Linux ecosystem knowledge; </li></ul><ul><li>Strong knowledge and experience with Python, and API frameworks such as Flask or FastAPI; </li></ul><ul><li>Knowledge about blockchain technologies or willingness to learn; </li></ul><ul><li>Experience with PostgreSQL database system; </li></ul><ul><li>Knowledge of Unit Testing principles; </li></ul><ul><li>Experience with Docker containers and proven ability to migrate existing services; </li></ul><ul><li>Independent and autonomous way of working; </li></ul><ul><li>Team-oriented work and good communication skills are an asset. </li></ul><p><strong>Would be a plus:</strong> </p><ul><li>Practical experience in big data and frameworks – Kafka, Spark, Flink, Data Lakes and Analytical Databases such as ClickHouse; </li></ul><ul><li>Knowledge of Kubernetes and Infrastructure as Code – Terraform and Ansible; </li></ul><ul><li>Passion for Bitcoin and Blockchain technologies; </li></ul><ul><li>Experience with distributed systems; </li></ul><ul><li>Experience with opensource solutions; </li></ul><ul><li>Experience with Java or willingness to learn. </li></ul>

The Team

As a Database Engineer on the Database Engineering team, you will own the tooling, maintenance and performance optimizations of our production database systems built on Postgres technology. The Database Engineering team is responsible for all of the AWS RDS infrastructure which powers our loans. You will lead by developing tools and processes  You’ll have wide latitude in technology options to help us choose the right technology for our evolving data workflows.

Position Location - This role is available in the following locations: Remote, San Mateo, Columbus 

Time Zone Requirements - This team operates on the East/West Coast time zones.

Travel Requirements -  As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

How you’ll make an impact:

• Improving query patterns and dataflows in the operational layer
• Building out tools to reduce the teams workload
• Providing guidance to vertical squads on database  best practices

What we’re looking for: 

Database Expertise

• 5-10 years of experience in a Database Engineer/DBA role
• Advanced knowledge of Postgres extensions and performance optimization techniques. 
• Experience optimizing sql queries and techniques for improving data workflows
• Familiarity with Postgres scalability solutions and can use this knowledge to guide designs
• Advanced knowledge of Postgres Replication solutions
• Proficiency with database normalization

Cloud and Operations experience

• Proficiency in Python or other language for database automation and tooling development
• Knowledge of fundamental AWS building blocks (EC2, EBS, S3, RDS, IAM, VPC)
• Have relevant technical skills (scripting, SQL, Unix command line tools)
• Experience with RDS and monitoring tools such as Datadog

 Communication & Collaboration

• Excellent written and verbal communication skills with ability to present complex technical information clearly
• Experience mentoring development teams and conducting technical training on database design standards and query best practice
• Proven ability to work in agile environments and collaborate with cross-functional teams
• Experience with OnCall and the ability to think on your feet

Preferred Qualification

• Experience with Clickhouse and DataDog DBM

Note: Candidates who may not yet meet all listed qualifications are still encouraged to apply, as there will be ample opportunity to develop and strengthen these skills on the job

#LI-REMOTE

#LI-Associate 

Explore the Nearsure experience! 

🌐 Join our close-knit LATAM remote team: Connect through fun activities like coffee breaks, tech talks, and games with your team-mates and management. 

🍃 Say goodbye to micromanagement! We champion autonomy, open communication, and respect for diversity as our core values. 

⚖️Your well-being matters: Our People Care team is here from day one to support you with everything from time-off requests to wellness check-ins. 

Plus, our Accounts Management team ensures smooth, effective client relationships, so you can focus on what you do best. 

Ready to grow with us? 🚀 
 
Here’s what we offer you by joining us! 
 
✨ Competitive USD salary 💲 – We value your skills and contributions! 

🌐 100% remote work 🏢 – While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM!  

💼 Paid time off – Take the time you need according to your country’s regulations, all while receiving your full salary. Rest, recharge, and come back stronger!  

🎉 National Holidays celebrated 🌴 – Take time off to celebrate important events and traditions with loved ones, fully embracing your culture. 

😷 Sick leave – Focus on your health without the stress. Take the necessary time to recover and feel better. 

💸 Refundable Annual Credit – Spend it on the perks you love to enhance your work-life balance! 

🤝 Team-building activities – Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nearsure family and feel part of our vibrant community. 

🥳 Birthday day off 🎂 – Enjoy an extra day off during your birthday week to celebrate in style with friends and family! 
 
 
About the project 
 
As a Senior Fullstack Python Engineer, you will be part of a cross-functional team responsible for the complete software development life cycle, from conception to deployment. Our mobile team is looking for developers to take ownership of the app’s backend. The role will involve collaborating with mobile developers to maintain and expand the backend as we continue to add and update features. 
 
 
How your day-to-day work will look like 
 
✅ Work in an agile environment to design, develop, test, and deploy software. 
✅ Collaborate with development teams and product managers. 
✅ Design client-side and server-side architecture. 
✅ Develop and manage databases and applications. 
✅ Design and build APIs. 
✅ Test software to ensure responsiveness and efficiency. 
✅ Troubleshoot, debug, and upgrade software. 
✅ Write technical documentation. 
 
This would make you the ideal candidate 
 
✨ Bachelor's Degree in Computer Science, Engineering, or a related field. 
✨ 5+ Years of experience working with Python. 
✨ 3+ Years of experience working with JavaScript or TypeScript. 
✨ 3+ Years of experience working with APIs. 
✨ 3+ Years of experience working with AWS. 
✨ 1+ Years of experience working with Flask. 
✨ 1+ Years of experience working with Firebase or MongoDB. 
✨ Experience with the Linux command line and Git. 
✨ Advanced English Level is required for this role, as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons. 
 
What to expect from our hiring process 
 
1️. Let’s chat about your experience!  
2. Impress our recruiters, and you’ll move on to a technical interview with our top developers.  
3. Nail that, and you’ll meet our client - your final step to joining our amazing team! 
 
🎯 At Nearsure, we’re dedicated to solving complex business challenges through cutting-edge technology and we believe in the power of tailored solutions. Whether you are passionate about transforming businesses with Generative AI, building innovative software products, or implementing comprehensive enterprise platform solutions, we invite you to be part of our dynamic team! 

We would love to hear from you if you are eager to make an impact and join a collaborative team that values creativity and expertise.  

Let’s work together to shape the future of technology!  

🧑‍💻 Apply now! 

The impact you’ll have here:

• Experience designing and building scalable systems, web applications, APIs, and services (our backend is built using Node.js but prior experience in Node.js is not required; we believe tools and languages can be learned on the job)
• Work on complex engineering problems that help you build and hone not only technical skills but also project management and human/soft skills.
• Develop and maintain internal TRM API’s that touch critical parts of the business.
• Collaborate with stakeholders on transforming a functional vision into a tangible roadmap with clear outcomes.
• Support and enable internal business units through shared engineering services and functionalities.
• Develop cross-functional relationships with stakeholders across the organization to understand and empower their mission from end to end.

What we’re looking for:

• Experience designing and building scalable systems, web applications, APIs, and services. (Javascript/Typescript/Node/Retool experience is a huge plus!)
• An understanding of storage systems such as relational databases (e.g., Postgres) and analytical databases.
• Demonstrated experience in understanding customer pain points and bridging their needs to technical & product requirements.
• A high degree of initiative and ownership, combined with the ability to navigate ambiguity and adapt quickly to change.
• Exceptional ability to structure problems and identify the most critical issues to prioritize.
• Ability to communicate complex ideas effectively to both technical and non-technical audiences, verbally and in writing.
• Experience working collaboratively in a cross-functional environment with a diverse group of people at all levels in an organization.

About the Team:

• The team operates on a weekly sprint schedule. Individuals on the team are tasked to lead projects as technical anchors, and given a chance to grow and take ownership according to their level and goals. We work closely with our internal stakeholders to deliver impactful features to our internal customers and the company.
• The team’s culture is built on psychological safety wherein team members build rapport and trust-based relationships with teammates, hold each other accountable and to a high bar, collaborate extensively, and have lots of fun along the way.
• The team’s timezone is a mix of EST and PST with at least 6 hours of overlap with PST (8 am to 2 pm PST)
• On-Call: We have an on-call rotation that is specific to internal tools. In this role, the internal tools engineer is responsible for triaging customer support requests from specific Slack channels pertaining to internal tools.

Learn about TRM Speed in this position:

• Ruthless Prioritization & Adaptability: We adapt quickly when faced with new information. For example, an engineer may message the PM or EM to prioritize Task A vs. Task B in the middle of the sprint – we don’t let inertia guide our decisions. Instead we focus on ruthless prioritization and pivot quickly as needed.
• Challenging Timelines (Execution Pressure): An engineer questions a teammate’s proposed 3-week timeline, and constructively argues for condensing it to 2 weeks—backed by rationale, tradeoffs, and a plan to reduce scope or increase velocity. They show ownership of delivery speed and willingness to push for urgency.
• Time-Boxed Spiking (Rapid Learning & Decision-Making): An engineer proposes a 1-week spike with a clear time-box and success criteria to explore implementation options or validate feasibility through a proof of concept. They demonstrate speed not just in execution, but in de-risking decisions early.