Company Background

Our client is a global technology company transforming the advertising landscape by enabling advertisers, agencies, publishers, and broadcasters to leverage advanced data and modern TV technologies. Their unified technology stack includes a demand-side platform (DSP), a supply-side platform (SSP), and a robust data platform that supports scalable advertising solutions. With an international presence and a culture of flexibility and innovation, they are building a world-class engineering organization.

Project Description

As part of the DevOps team, you will be embedded within one or more software engineering teams to deliver infrastructure and operational support. You’ll take ownership of delivering scalable, automated systems and services. Your work will help bridge the gap between development and operations, ensuring reliable, secure, and performant infrastructure across a modern microservices architecture. You’ll be expected to operate infrastructure in AWS, build CI/CD pipelines, monitor performance, troubleshoot complex issues, and support both development teams and live production systems.

Technologies

• Linux
• AWS
• Chef
• Ansible
• Terraform
• Bash
• Python
• Ruby
• Bamboo
• Kubernetes
• REST APIs
• Microservices
• Prometheus
• InfluxDB
• Nagios
• ELK
• Zookeeper
• Consul
• Spark
• Hive
• EMR
• Couchbase

What You'll Do

• Contribute to the design and implementation of infrastructure solutions with a strong focus on automation and scalability;
• Operate, monitor, and troubleshoot infrastructure in large-scale production environments;
• Support developers with deployment, observability, and reliability tooling;
• Develop scripts and automation tools for monitoring, incident response, and infrastructure tasks;
• Collaborate across engineering and business teams to maintain operational excellence;
• Maintain system documentation, deployment procedures, and best practices;
• Proactively identify performance bottlenecks and implement tuning strategies;

Job Requirements

• 3+ years of experience in DevOps roles supporting large-scale production environments;
• Expertise with AWS;
• Strong Linux skills, with advanced knowledge of system internals and networking;
• Knowledge of Victoria Metrics, Click House, and Grafana;
• Hands-on experience with infrastructure-as-code tools like Chef, Terraform, or Ansible;
• Proficiency in scripting languages such as Bash, Python, or Ruby;
• Experience with Kubernetes and container orchestration;
• Familiarity with monitoring tools like Prometheus, Nagios, or InfluxDB;
• Experience with CI/CD practices and tools;
• English: B1+ level (spoken and written);

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;
• Internal startup incubator;
• 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 U.S.-based fintech company providing financing solutions for small and medium-sized businesses since 2006. Operating as both a direct lender and a marketplace with a trusted network of partners, the company helps business owners access and compare funding options quickly and efficiently. Their mission is to make financing faster, easier, and more accessible through digital solutions.

Project Description

The project focuses on improving a core API platform for automated loan decisioning. The system is built with PHP and is being enhanced and modernized to improve scalability, performance, and automation.

Technologies

• PHP (5.3)
• CakePHP (2.x, 3.x, 5.x)
• Python
• AWS
• RDS

What You'll Do

• Lead the design, development, and implementation of scalable and efficient cloud-native services;
• Enhance and support API systems to improve decisioning automation;
• Collaborate with the team to modernize and evolve the current platform;
• Drive architecture and technical decisions aligned with business goals;
• Ensure high performance, scalability, and reliability of backend systems;

Job Requirements

• 6+ years of experience in software development;
• Strong experience with PHP;
• Experience designing and building scalable, high-performance systems;
• Strong experience with AWS cloud services and infrastructure;
• Bachelor’s or Master’s degree in Computer Science;
• Strong problem-solving skills and attention to detail;
• Ability to work in a fast-paced, dynamic environment;
• Knowledge of English from Upper-Intermediate (written and spoken);
• Availability to work during US EST hours (up to 7 PM EST when required);

Nice to have:

• Experience with relational (MSSQL, MySQL) and NoSQL databases;
• Experience with microservices and backend development using Java, Spring Boot, OpenAPI, or Python;
• Experience in the financial industry;
• Experience working in Agile environments and leading Agile teams;

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.

Company Background

Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.

Project Description

As a member of the DevOps team, you will be responsible for delivering solutions to your assigned team and scalable, reusable solutions across the entire engineering organization. You will operate infrastructure and ensure services are monitored, reliable, automated, and scalable, supporting tasks from server provisioning and application deployments to troubleshooting. You will also help bridge the gap between development and operations, collaborating across engineering and business teams.

Technologies

• AWS
• Kubernetes
• Linux admin
• OpenTelemetry/Grafana/Prometheus/Elasticsearch
• CI/CD
• ArgoCD
• Bash/Python
• Ansible/Chef
• GitLab
• Airflow
• Spark

What You'll Do

• Contribute to the implementation and design of systems and networks used to operate production infrastructure with a focus on automation;
• Collaborate with developers on operations-related issues, providing support and guidance;
• Develop tools to monitor infrastructure and custom applications;
• Troubleshoot issues across the entire stack;
• Document system design and application operation procedures;
• Build, monitor and tune production systems;

Job Requirements

• Experience with or knowledge of AWS and physical infrastructure (other cloud is a plus);
• Experience with or knowledge of automation tools (Terraform or Ansible);
• Troubleshooting skills and experience with Linux;
• Understanding of Linux, networking, and internet fundamentals;
• Understanding of monitoring infrastructure and applications (e.g. Grafana, Prometheus, InfluxDB);
• Scripting skills in one or more of the following: Bash, Python;
• Experience with containers and orchestration tools such as Docker and Kubernetes (or similar);
• Familiarity with CI/CD tools (e.g. GitLab CI, GitHub Actions, Jenkins);
• Confident use of Git, including branching, pull requests, and code review;
• Basic understanding of security concepts, including secrets management, IAM, and HTTPS/TLS;
• Ability to work with logs and identify the root cause of failures;
• Ability to work independently and deliver tasks with minimal supervision;
• Readiness to participate in on-call / shift duties on a rotating schedule;
• English: B1+ level;

Nice To Have

• Experience with highly loaded production systems;
• Experience with support services such as Consul, Zookeeper & ELK;
• Experience with noSQL solutions (Couchbase a plus);
• Experience with big data systems (EMR, Spark & Hive a plus);

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 small and medium-sized business financing provider, operating as both a direct lender and a marketplace with a trusted network of lending partners. The company helps businesses access financing efficiently through a single application process, reducing complexity and saving time.

Project Description

The project focuses on enhancing and maintaining the company’s Salesforce platform, working closely with experienced Salesforce engineers. You will contribute to building scalable solutions, improving platform capabilities, and integrating Salesforce with external systems. The environment emphasizes best practices, code quality, and continuous platform improvement.

Technologies

• Salesforce (Sales Cloud, Service Cloud, Experience Cloud)
• Apex, SOQL, Lightning Web Components (LWC), SFDX
• Visualforce, Aura Components, Lightning Pages
• HTML, CSS, JavaScript
• AWS services, DocuSign
• CI/CD tools

What You'll Do

• Develop and maintain Apex classes and triggers
• Build and enhance UI using LWC, Lightning App Builder, and SLDS
• Integrate Salesforce with external systems (AWS, DocuSign, REST APIs)
• Write and maintain unit tests (Apex / Jest)
• Follow Salesforce best practices for development, documentation, and version control
• Collaborate with stakeholders, product owners, and engineering teams
• Continuously improve and refactor platform components

Job Requirements

• 3+ years of experience in Salesforce development
• Strong experience with Apex, LWC, SOQL, and SFDX
• Experience with Salesforce products (Sales Cloud, Service Cloud, Experience Cloud)
• Experience with HTML, CSS, and JavaScript
• Understanding of Salesforce security and data governance (profiles, roles, sharing rules)
• Knowledge of Salesforce development lifecycle (sandbox, deployment, release management)
• Strong problem-solving skills and ability to work independently
• Good communication and collaboration skills
• English level: B2 (Upper-Intermediate) or higher
• Availability to work with U.S. Eastern Time (EST) overlap (at least 4 hours daily, including availability until 2:00 PM EST)

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.

Project Description

We are looking for a motivated Data Engineer to join our growing data team. This is a great opportunity for someone early in their career to gain hands-on experience with modern data technologies. You will collaborate closely with senior engineers and analysts to build, maintain, and optimize scalable data pipelines and infrastructure.

Technologies

• SQL (PostgreSQL, MySQL or similar)
• Python (or another scripting language)
• Basic knowledge of cloud platforms (AWS, GCP, or Azure) is a plus
• Familiarity with data visualization tools (e.g., Power BI, Tableau) is a plus

What You'll Do

• Assist in the design, development, and maintenance of scalable data pipelines;
• Support data integration from various sources (databases, APIs, flat files);
• Help ensure data quality, consistency, and reliability;
• Collaborate with data analysts and data scientists to understand data requirements;
• Participate in code reviews and contribute to technical documentation;
• Monitor and troubleshoot data workflows, resolving issues as they arise;

Job Requirements

• 1+ years of practical experience or relevant internship in a data-focused role (preferred);
• Bachelor’s degree in Computer Science, IT, Mathematics, or a related field (or equivalent practical experience);
• Basic knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server);
• Familiarity with at least one programming language (preferably Python);
• Understanding of ETL concepts and data warehousing fundamentals;
• Eagerness to learn new technologies and best practices in data engineering;
• Strong problem-solving skills and attention to detail;
• Effective communication and teamwork abilities;
• English level: Intermediate (B1) 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.

Project Description

We are looking for an experienced Data Engineer with deep expertise in Databricks to join our advanced analytics and data engineering team. The ideal candidate will play a key role in designing, building, and optimizing large-scale data solutions on the Databricks platform, supporting business intelligence, advanced analytics, and machine learning initiatives. You will collaborate with cross-functional teams to deliver robust, scalable, and high-performance data pipelines and architectures.

Technologies

• Databricks (including Spark, Delta Lake, MLflow)
• Python/Scala
• SQL
• ETL concepts
• Distributed data processing
• Data warehousing
• Cloud Platforms & Storage

What You'll Do

• Lead the design, development, and deployment of scalable data pipelines and ETL processes using Databricks (Spark, Delta Lake, MLflow);
• Architect and implement data lakehouse solutions, ensuring data quality, governance, and security;
• Optimize data workflows for performance and cost efficiency on Databricks and cloud platforms (Azure, AWS, or GCP);
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights;
• Mentor and guide junior engineers, promoting best practices in data engineering and Databricks usage;
• Develop and maintain documentation, data models, and technical standards;
• Monitor, troubleshoot, and resolve issues in production data pipelines and environments;
• Stay current with emerging trends and technologies in data engineering and Databricks ecosystem;

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
• 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks (including Spark, Delta Lake, and MLflow);
• Strong proficiency in Python and/or Scala for data processing;
• Deep understanding of distributed data processing, data warehousing, and ETL concepts;
• Experience with cloud data platforms (Azure Data Lake, AWS S3, or Google Cloud Storage);
• Solid knowledge of SQL and experience with large-scale relational and NoSQL databases;
• Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for data 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.

Sep 25, 2025 12:50

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

About the role

You'll join one of several teams building the low-level systems behind CAST AI's multi-cloud automation platform. The work sits at the intersection of Kubernetes, cloud infrastructure, and Linux.

Depending on your strengths, you'll work in one of these areas:

• Cluster and node lifecycle - custom node bootstrapping across AWS, GCP, and Azure. Controllers and operators managing full node lifecycle. Bridging the gap between autoscaler decisions and running VMs - including working around limitations of managed Kubernetes platforms like EKS, GKE, and AKS.
• Cross-cloud provisioning - orchestrating infrastructure across regions and clouds. Workflow orchestration, provisioning integrations, networking and identity across cloud boundaries.
• Live container migration - zero-downtime relocation of running containers using CRIU checkpoint/restore, custom CRI-O and runc forks, and forked cloud CNI plugins. Memory page transfer, TCP session migration, process-level checkpoint/restore. Kernel-level Linux engineering applied to Kubernetes.
• Storage optimization - dynamic volume rightsizing, BtrFS compression, custom CSI drivers. Full storage stack from cloud disk APIs through filesystem internals to Kubernetes PV/PVC lifecycle.

Common across all teams: Go, deep Kubernetes, multi-cloud, building beyond what the ecosystem offers.

How we build

We invest heavily in agentic development and AI-powered tooling. Engineers work with code agents and automated workflows daily. We expect you to shape how these tools evolve.

Requirements:

• Strong backend fundamentals and production-grade coding, preferably Go.
• Hands-on Kubernetes internals, cloud infrastructure, or large-scale distributed systems experience.
• Clear English communication, collaborative and self-directed.
• Bias toward action and ownership.

What would make you stand out

• Deep knowledge of EKS, GKE, or AKS internals.
• Low-level Linux experience: process internals, networking (NAT, iptables, conntrack, SDN), filesystems, storage.
• Kubernetes or cloud-native OSS contributions.
• Cloud storage depth - block storage, CSI, volume management, filesystem internals.
• Container runtime experience (CRI-O, runc, containerd) or CRIU.
• Experience with AI coding agents and agentic development workflows.
• Comfort building where there's no playbook.

Responsibilities:

• Design, build, and operate backend services, Kubernetes operators, and controllers in Go across AWS, GCP, and Azure.
• Solve infrastructure-layer problems — networking, scheduling, storage, compute, or container runtime internals.
• Build and maintain high-throughput services (gRPC/REST) and async orchestration workflows.
• Shape public and internal APIs.
• Leverage and improve AI-powered development workflows.
• Participate in design reviews, code reviews, on-call, and customer deep-dives.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Why Kimchi?

Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters - now we're building the execution layer where agents do real work.

Our Infrastructure today: multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API, and deployment flexibility from our GPUs to your VPC. The inference layer is the foundation. What we're hiring for sits on top of it: coding agents, agent runtimes, orchestration systems, and the reliability engineering that makes them actually finish things.

Tech Stack: TypeScript, Go, Kubernetes, AWS/GCP/Azure, MCP, Prometheus/Grafana/Loki, GitLab CI, ArgoCD.

Why harness engineering matters here
OpenAI and Anthropic ship models. They also ship one harness each - the scaffolding that turns a raw model into something that can plan, execute, recover, and complete work. We ship a different kind of harness: one built for cost-conscious, long-horizon autonomy, running on inference infrastructure we control end-to-end.
A decent model with a great harness beats a great model with a bad harness. We've watched this play out. The gap between what today's models can do and what you see them doing is largely a harness gap - and that gap is where we operate.

What you'll build
The ratchet.
Every time our agent makes a mistake, we engineer a solution so it never makes that mistake again. That means hooks that enforce constraints the model "knows" but forgets: pre-commit lint checks, permission gates, context compaction before the window fills. Success is silent, failures are verbose.

Long-horizon execution.
Our harness is built around spec-driven autonomy: meta-prompting, fresh context per task, worktree-per-slice git strategy, automatic replanning, crash recovery, stuck detection. We're implementing Ralph loops - when the model tries to exit, we intercept and reinject the goal into a fresh context. The agent reads state from disk and continues. Multi-session, multi-day work, without context rot.

Planner/executor splits.
Planning with a reasoning model, executing with a fast one, evaluating with a third. Separating generation from evaluation beats self-verification because agents reliably skew positive when grading their own work.

The harness surface.
CLI, TUI, MCP integration, sandboxed execution, telemetry. Our AGENTS.md is short - every line traces to a specific thing that went wrong. TypeScript on the surface, Go where it matters.

Memory and context.
Moving agents off laptops, giving them state that survives across sessions, managing context so information lands where it's actionable. Compaction, tool-call offloading, progressive skill disclosure.

What makes this different (with receipts)
You've seen the pitch: "we route to the best model." Everyone says that. Here's what we actually have:

• GPU infrastructure we own. Not just an API reseller. From GPU placement across clouds to the inference endpoint your agent calls - we control the cost curve.
• A harness-first thesis. We treat agent failures as configuration problems, not model problems. When we moved from a stock harness to our own, completion rates on internal benchmarks improved by 40%+ on the same model.
• Agents.md that earns every line. No brainstormed rules - every constraint in our system prompt traces to a real failure we saw and fixed.

Requirements:

• You've used AI coding agents in anger. Not demos - real work. You have opinions about Claude Code, Codex, OpenCode, Cursor. You know what it feels like when an agent gets stuck and why.
• Strong TypeScript or Go in production. Comfort moving between them. Our surface is TypeScript; our core is Go.
• You think in harness terms. You read "the agent hallucinated" and your first instinct is to ask what context it was missing, what hook should have caught it, what constraint should exist.
• You drive features end-to-end. Design → build → ship → measure → iterate. We don't have layers that absorb ambiguity for you.

Responsibilities:

• Build and evolve the agent harness - ship hooks, permission gates, and context compaction. Every AGENTS.md constraint traces to a failure you personally diagnosed.
• Own long-horizon execution - multi-session task completion via spec-driven prompting, worktree-per-slice git, Ralph loop recovery, and stuck detection. Completion rate is your metric.
• Architect planner/executor/evaluator pipelines - planning with a reasoning model, execution with a fast one, evaluation with a third. No self-verification.
• Manage agent memory and context - state persistence across sessions, context compaction, tool-call offloading. Zero context rot on multi-day work.
• Own the harness surface - CLI, TUI, MCP integrations, sandboxed execution, telemetry. TypeScript on the surface, Go where it matters.

What success looks like (after 6 months):

• You've shipped at least one major harness feature end-to-end: designed it, built it, measured it, iterated.
• You've added constraints to our AGENTS.md based on failures you personally observed and diagnosed.
• You've improved a measurable reliability metric - completion rate, context efficiency, or cost per successful task.
• You've formed strong opinions about where our harness is load-bearing and where it's dead weight.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience).
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

We are hiring across multiple teams!

As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. We are currently hiring Senior Software Engineers for the following teams:

- Workload Optimization - Automates workload resource management by dynamically adjusting resource allocations, helping developers significantly reduce costs and improve application reliability.

- Karpenter - The Karpenter team powers the integration between Karpenter and Cast AI, bringing enterprise capabilities to the most popular open source Kubernetes autoscaler. We enhance Karpenter with advanced features that improve application reliability and performance while optimizing costs. By joining the team, you’ll bridge open source innovation with enterprise requirements, directly impacting how organizations run Karpenter at scale.

- Reporting - Builds a scalable reporting system that ingests millions of rows per second into our time-series databases, providing insights into cost savings, workload efficiencies, and Cast AI automation impact.

- Pricing - Drives the synchronization of public and customer cloud resources, availability, and dynamic pricing across all major cloud providers. Empowers autoscaling by leveraging discounts, commitments, and cross-cluster tracking to maximize savings. Provides a reliable source of truth for node pricing, resources, components, discounts, and commitments.

- Autoscaler - Automates Kubernetes node autoscaling to optimize clusters, balance workloads, remove underutilized nodes, and dynamically allocate capacity in real-time, thereby reducing cluster costs by half.

- Identity -  Builds and maintains the trust and access foundation for the entire platform, ensuring every user, service, and workload authenticates and interacts securely and seamlessly at scale.

- Billy -  Powers the critical day-2 operations layer of the platform - from billing and audit trails to notifications and feature flags - ensuring the platform runs reliably, transparently, and at scale for every customer, every day.

Here are some of the tools we use daily:

• Programming Languages: Go
• Cloud & Orchestration: Kubernetes, AWS, GCP, Azure
• Databases & Storage: PostgreSQL, Cloud Object Storage
• Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs
• Observability: Prometheus, Grafana, Loki, Tempo
• CI/CD & GitOps: GitLab CI with ArgoCD.

Requirements:

• Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
• Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) - including real understanding of how compute, networking, and storage work under the hood.
• Understanding of Kubernetes internals - autoscaling and networking.
• You've personally driven a complex project end-to-end.
• Strong debugging, optimization, and performance-tuning skills - including query profiling, index design, and database performance tuning beyond ORM usage.
• You've run observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
• CI/CD and DevOps practices experience.
• Strong English skills, both verbal and written.
• Startup mindset: adaptable, proactive, and comfortable with ambiguity.

Responsibilities:

• Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.
• Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management.
• Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks).
• Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
• Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
• Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

About the Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.

Day to Day:

• Contribute to the design, development, and delivery of features across the product
• Write clean, maintainable code for back-end systems deployed in AWS or GCP
• Collaborate with AI and cryptography specialists
• Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
• Follow established engineering practices and participate in team discussions around process and quality
• Participate in customer-driven development and iterate based on feedback
• Write automated tests for load, performance, and error handling

What you bring to the table:

• 3+ years of hands-on software engineering experience for backend development
• Excellent TypeScript and Node.js coding experience
• AWS experience in containers (EKS, ECS) and serverless systems
• Relational, key/value, and graph datastore experience with schema management
• API design, data modeling, secure service development, database systems
• Has a focus on quality code, error handling, and high availability
• A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
• At least upper-intermediate level of spoken and written English

Extra Credit:

• Versed in Python coding and environments
• Experience with GCP systems
• Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
• Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
• Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
• Experience managing LLM agents to increase both speed and quality of code generation and tests
• Exposure to security tools, vulnerability detection platforms, or compliance automation
• Prior experience working on developer-facing or infrastructure-heavy products

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.

WE ARE AMDARIS

We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022 and our future is even bigger. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.

Role Overview

We are looking for a Principal Engineer to own the architecture, development, and evolution of our content development and distribution pipelines across a multi-platform LMS landscape. You will drive the adoption of AI-assisted content generation workflows, design agentic systems that reduce manual effort at scale, and serve as a hands-on technical lead for a small, high-impact engineering team.

Key Responsibilities

–Design, build, and maintain robust content development and distribution pipelines that serve a diverse LMS ecosystem (e.g.H5P, SCORM/xAPI standards).
–Design and implement agentic AI workflows for automated and semi-automated content generation, curation, tagging, and quality assurance.
–Rapidly prototype new capabilities using AI-native tooling (LLM APIs, vector stores, embedding pipelines) to validate ideas before full-scale engineering investment.
–Lead and mentor a team of 4–6 engineers through technical design, code review, and day-to-day engineering delivery.
–Define and enforce standards for content schema, metadata, versioning, and pipeline observability.
–Partner with product, instructional design, and data teams to translate learning content requirements into scalable technical solutions.
–Evaluate and integrate third-party content and AI services, ensuring compliance with data governance and privacy standards.
–Drive continuous improvement for pipeline reliability, latency, and throughput.

Position Requirements

–8+ years of software engineering experience, with at least 3 years in a senior or principal-level role owning complex data or content pipelines.
–Deep experience with LMS platforms and content standards (H5P, SCORM, xAPI/Tin Can, LTI).
–Proven track record designing and operating agentic or multi-step AI workflows using LLMs (e.g. OpenAI, Anthropic, Gemini), orchestration frameworks (e.g. LangChain, LlamaIndex, CrewAI), and tool use / function calling patterns.
–Strong prototyping instincts — comfortable building working proof-of-concepts quickly with AI coding assistants and modern tooling, then handing off or scaling the result.
–Experience leading small engineering teams: setting technical direction, running design reviews, and growing engineers through coaching and feedback.
–Proficiency in at least one backend language (Python, Node.js, or Java/Kotlin) and familiarity with cloud-native infrastructure (AWS, GCP, or Azure).
–Solid understanding of content storage, CDN distribution, and asset management at scale.
–Clear communicator who can translate technical trade-offs for non-technical stakeholders.

Nice to have

–Experience in EdTech or corporate learning environments at scale.
–Familiarity with RAG (Retrieval-Augmented Generation) architectures for content search and personalization.
–Exposure to fine-tuning or evaluation frameworks for AI-generated educational content.
–Understanding of accessibility standards for digital learning content (WCAG, Section 508).

Core Technologies

Python / Node.js · LLM APIs · LangChain / LlamaIndex · H5P / SCORM / xAPI · LTI · Vector stores · Cloud (AWS / GCP / Azure) · CDN & asset pipelines · REST / GraphQL · CI/CD

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.

As a Senior DevOps Engineer, you will play a pivotal role in designing and operating highly available, scalable, and secure cloud platforms that power real-world applications.

This role focuses on building automation-first ecosystems, promoting DevOps culture, and ensuring engineering practices align with long-term business impact. You will work closely with customers and cross-functional teams to transform requirements into resilient, production-grade infrastructure.

This position requires strong ownership, strategic thinking, and a passion for continuous improvement.

Requirements

• 5+ years of hands-on experience in DevOps and Cloud Engineering roles
• Advanced expertise in Kubernetes, including managed cloud platforms (EKS, GKE, AKS) and on-premise environments
• Strong proficiency in Infrastructure as Code (IaC) using Terraform and/or AWS CloudFormation
• Proven experience designing highly available, fault-tolerant, and scalable architectures on AWS
• Experience building and managing CI/CD pipelines (GitHub Actions, Argo CD, Jenkins)
• Hands-on experience with monitoring and observability tools (Prometheus, Grafana, ELK stack)
• Strong understanding of cloud security best practices
• Excellent analytical and problem-solving skills
• Experience mentoring team members and contributing to team growth

Responsibilities

• Design, deploy, and operate enterprise-grade platforms across cloud and on-prem environments
• Optimize infrastructure based on AWS Well-Architected principles
• Implement and manage Infrastructure as Code using Terraform or CloudFormation
• Build and maintain monitoring and logging systems (Prometheus, Grafana, ELK)
• Improve system reliability, security, and resilience
• Proactively diagnose and resolve production issues
• Promote DevOps best practices and continuous improvement
• Mentor engineers through coaching and knowledge sharing
• Translate business needs into scalable and sustainable technical solutions
• Align platform strategies with organizational goals

Nice to Have

• Experience leading teams in customer-facing environments
• Exposure to AI-driven DevOps or LLMOps
• AWS Professional certifications (Solutions Architect, DevOps Engineer)
• Kubernetes certifications (CKA, CKAD)
• HashiCorp Terraform Associate certification

What’s In It for You

• Ownership of impactful cloud and platform initiatives
• Work alongside high-performing engineers in a collaborative environment
• Exposure to enterprise-scale customer projects
• Opportunities to lead through expertise and drive impact through execution

About the Role

As a Lead Software Engineer in our Machine Learning department, you will take ownership of high-impact initiatives that drive product quality, monetization, and user experience. You’ll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. You’ll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure. The role offers exposure to complex data challenges and the opportunity to shape Pearl’s AI-driven capabilities.

What You’ll Do

• Build, train, and deploy ML models that improve product performance and monetization.
• Collaborate with data, product, and engineering teams across multiple internal initiatives.
• Design and implement data pipelines for extraction, transformation, and analysis.
• Apply statistical and machine learning techniques to real-world business problems.
• Work on projects involving LLMs and Generative AI technologies.
• Analyze large datasets to identify trends, insights, and optimization opportunities.
• Integrate ML models into production systems and monitor their performance.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.
• Experiment with emerging AI tools and methodologies to enhance existing workflows.
• Ensure data quality, reliability, and scalability in all deliverables.

What We’re Looking For

• 3+ years of hands-on experience in ML Engineering or Data Science.
• 5-6+ years total experience in software or data engineering.
• Strong programming skills in Python.
• Proficiency in SQL for data querying and analysis.
• Solid understanding of data processing, analysis, and visualization.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Ability to build and deploy ML models end-to-end.
• Strong analytical and problem-solving mindset.
• Experience with .NET for integration work 
• Upper-intermediate English proficiency (B2 or higher). 
• Familiarity with Databricks or similar data platforms (nice-to-have).
• Exposure to AWS or other cloud-based ML environments (nice-to-have).

About Sisense

Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Our API-first, developer-first platform turns complex data into faster, smarter, actionable decisions for over 2,000 global customers across financial services, retail, healthcare, and technology.

With the recent launch of Sisense Intelligence (Intelligence Assistant, MCP server, Managed LLM), we are accelerating innovation in embedded analytics at scale.

The Role

As a DevOps Engineer, you will play a key role in designing, building, and maintaining the scalable, reliable infrastructure that powers Sisense’s AI-powered embedded analytics platform. You will work on cloud-native environments, CI/CD pipelines, automation, monitoring, and production stability — helping ensure our platform delivers high performance and developer experience at scale.

This is a hands-on role with significant ownership and impact on both internal development velocity and customer-facing reliability.

Key Responsibilities

• Design, implement, and maintain scalable infrastructure for our SaaS platform using modern cloud-native technologies.
• Build and improve CI/CD pipelines, automation tools, and deployment processes to increase development velocity and reliability.
• Own production environments: monitoring, troubleshooting, performance tuning, and incident response.
• Work closely with development teams to support infrastructure needs for new features and services.
• Research, evaluate, and introduce new tools and technologies to improve platform efficiency and observability.
• Develop and maintain Infrastructure as Code (Terraform, Crossplane, Helm, Argocd, etc.).
• Collaborate on improving observability, logging, and alerting across distributed systems.
• Participate in a rotating on-call schedule to provide 24/7 coverage for incident response and production support.

Requirements

• 4–6+ years of hands-on DevOps or SRE experience.
• Strong proficiency with Kubernetes and cloud platforms (AWS, Azure, or GCP) AWS preferred.
• Solid experience with Infrastructure as Code tools (Terraform /crossplane / Terragrunt, Helm, argocd).
• Excellent Linux systems knowledge and scripting skills (Bash, Python, or Go preferred).
• Experience building and maintaining CI/CD pipelines and automation frameworks (gitlab-ci ,github-actions and jenkins).
• Deep familiarity with monitoring tools (fluentd , fluent-bit, promethus and grafana stack , opentelemetry )
• Strong problem-solving and troubleshooting skills in high-scale production environments.
• Good communication skills and ability to work effectively in a remote, distributed team.
• Advanced English.

Nice to Have

• Experience with Node.js / TypeScript environments.
• Familiarity with multiple linux distros (ubuntu-debian , redhat , oracle)
• Background in data-intensive or analytics platforms.
• Familiarity with OpenTelemetry, monitoring tools, or distributed tracing.
• Experience supporting customer-facing SaaS platforms at scale.

Why Join Sisense

This is a high-impact role where you’ll work on the infrastructure behind cutting-edge embedded AI analytics. You’ll join a talented global engineering team, enjoy competitive compensation, meaningful equity, and the opportunity to solve complex technical challenges in a fast-growing company.

If you’re a strong DevOps Engineer who loves building reliable, scalable systems and wants to work on AI-powered data solutions, we’d love to hear from you.

About Sisense

Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Our API-first, developer-first platform turns complex data into faster, smarter, actionable decisions for over 2,000 global customers across financial services, retail, healthcare, and technology.

With the recent launch of Sisense Intelligence (Intelligence Assistant, MCP server, Managed LLM), we are accelerating the next wave of embedded analytics innovation.

The Role

As a Full-Stack Engineer (Node/React), you will play a key role in building and enhancing the core platform that powers embedded AI analytics. You will work across the full stack — from backend services and APIs to modern frontend interfaces — helping to deliver high-performance, scalable, and delightful experiences for both developers and end users.

This is a hands-on role with real ownership, where you’ll contribute to features that directly impact how customers embed intelligence into their products.

Key Responsibilities

• Develop and maintain full-stack features using Node.js (backend) and React (frontend).
• Build and optimize scalable APIs and backend services that power our embedded analytics capabilities.
• Create responsive, performant, and user-friendly frontend interfaces.
• Collaborate closely with Product, Design, and other Engineering teams to deliver high-quality solutions.
• Participate in code reviews, architectural discussions, and technical decision-making.
• Contribute to improving platform performance, reliability, and developer experience.
• Help implement features related to Sisense Intelligence (agentic AI, conversational interfaces, predictive analytics).

About You

• 3-5 or more years of full-stack development experience with strong proficiency in Node.js and React.
• Solid understanding of modern web technologies, REST/GraphQL APIs, and frontend architecture.
• Strong problem-solving skills and ability to break down complex requirements into clean, maintainable code.
• Comfortable working independently in a remote-first environment with high ownership.
• Advanced English (team in Israel)
• Passion for best coding practices, user experience, and using AI tool to enhance development responsibly.

Nice to Have

• Experience with TypeScript, Next.js, or modern frontend frameworks.
• Experience building scalable backend services and responsive user interfaces.
• Exposure to cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Background in data-intensive applications, BI/analytics tools, or developer platforms.
• Familiarity with AI/ML concepts or building AI-powered user experiences.

OUR BENEFITS:

• We’re all working remotely.
• We hire only people we trust. All Sisensers join the company without a probation period.
• We believe all Sisensers should be owners of our company’s success. We grant all employees stock options that start vesting on Day One.
• We support a work-life balance philosophy and provide unlimited vacations (flexible time off) and additional long weekends to all Sisensers.
• We support professional growth with access to the modern learning platform.
• We care about each other. All team members have extended medical insurance.
• We provide Sisensers with a sports reimbursement to support physical fitness and mental well-being.

Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Our API-first, developer-first platform turns complex data into faster, smarter, actionable decisions for over 2,000 global customers across financial services, retail, healthcare, and technology.

With the recent launch of Sisense Intelligence (Intelligence Assistant, MCP server, Managed LLM), we are accelerating the next wave of embedded analytics innovation.

The Role

As a Senior Full-Stack Engineer (Node/React), you will be a driving force behind the evolution of our core platform, powering the next generation of embedded AI analytics. This is a high-impact, hands-on role where you’ll own features from architectural design to testing and deployment, ensuring our frontend interfaces and backend services are as performant as they are intuitive.

Beyond day-to-day feature development for our customer-facing part of the application, you will be a key contributor to company-wide strategic projects. These initiatives are designed to push the boundaries of the Sisense ecosystem, directly influencing our product roadmap and evolving how our customers integrate intelligence into their own applications.

What You’ll Do

• Build and scale end-to-end features using React for modern, responsive frontends and Node.js for high-performance backend services. You will spend the majority of your time writing clean, production-ready code that powers our core platform.
• Play a key role in the continuous evolution of our platform by maintaining and bridging functionality within our AngularJS codebase, ensuring a seamless experience as we transition toward modern frameworks.
• Take full responsibility for the lifecycle of your features. You are expected to deliver mission-critical projects at the highest quality, ensuring they are performant, robust, and timely delivered with end-to-end excellence.
• Be responsible for testing of your delivery, including manual and automated testing.
• Heavily integrate AI tools (Cursor, Claude etc.) into your daily development process to accelerate your output, optimize code performance, and stay at the forefront of engineering efficiency.
• Actively brainstorm with peers to solve technical hurdles and refine product ideas. You will work on company strategic projects that move the needle for Sisense, directly impacting our long-term product trajectory.

About You

• You have 5+ years of experience building robust applications. You are highly proficient with React, TypeScript, and Node.js (Express.js/Nest.js experience is a significant plus).
• You possess a deep understanding of modern web standards, RESTful APIs, SOLID principles and the nuances of high-performance frontend development.
• You understand CI/CD processes and can apply your skills to develop and optimize pipelines.
• You don’t just write code; you deliver well-architected, maintainable solutions. You have got a skill for breaking down complex business requirements into clear, executable technical tasks.
• You are self-driven, take full accountability for your projects from start to finish, and aim to follow the highest quality standards.
• You are passionate about efficiency and responsibly leverage AI tools to boost your personal performance and stay at the cutting edge of development practices.
• You enjoy brainstorming and solving problems with a team. Your English is at an Upper-Intermediate level (B2) or higher, allowing you to articulate technical concepts clearly.

Nice to Have

• Experience with BI/analytics tools, data-intensive applications, or building features that integrate AI/ML models.
• Hands-on exposure to cloud environments (AWS, GCP, or Azure) and containerization tools like Docker or Kubernetes.
• Familiarity with AngularJS is your advantage as we modernize our core platform.

OUR BENEFITS:

• We’re all working remotely 
• We hire only people we trust. All Sisensers join the company without a probation period
• We believe all Sisensers should be owners of our company’s success. We grant all employees stock options that start vesting on Day One
• We support a work-life balance philosophy and provide unlimited vacations (flexible time off) and additional long weekends to all Sisensers
• We support professional growth with access to the modern learning platform
• We care about each other. All team members have extended medical insurance
• We provide Sisensers with a sports reimbursement to support physical fitness and mental well-being.

Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Our API-first, developer-first platform turns complex data into faster, smarter, actionable decisions for over 2,000 global customers across financial services, retail, healthcare, and technology.

With the recent launch of Sisense Intelligence (Intelligence Assistant, MCP server, Managed LLM), we are pushing the boundaries of embedded analytics and making AI-driven insights accessible at scale.

The Role

As a Platform Engineer, you will be a key member of one of our core engineering teams, responsible for designing, building, and evolving the foundational platform that powers Sisense’s embedded AI analytics capabilities. You will work on high-impact infrastructure, scalability, and developer experience challenges in a modern, cloud-native environment using Node.js and TypeScript.

This is a hands-on role where you’ll tackle complex technical problems, influence architectural decisions, and help shape the future of our developer platform.

Key Responsibilities

• Design, develop, and maintain core platform components using Node.js, Java and TypeScript.
• Work closely with architects and cross-functional teams to build scalable, reliable SaaS foundations for embedded analytics and AI features.
• Lead large and complex technical projects end-to-end, from design to production.
• Analyze and troubleshoot production systems, ensuring high availability and performance.
• Research, evaluate, and introduce new technologies and best practices to improve platform quality and developer experience.
• Mentor and guide team members, raise development standards, and contribute to a culture of technical excellence.

Requirements

• 5+ years of hands-on experience designing and developing backend applications with Node.js and TypeScript.
• Advantage : 3+ years as a Backend/Platform Engineer, with strong focus on infrastructure and SaaS platforms.
• Deep expertise in building scalable, event-driven, cloud-native architectures.
• Solid experience with the modern Node.js ecosystem (NestJS or similar frameworks is a plus).
• Strong knowledge of cloud platforms (AWS, GCP, or Azure), k8s and containerization technologies.
• Experience with monitoring, observability, and distributed systems troubleshooting.
• Excellent problem-solving, analytical, and communication skills.
• Your English is at an Upper-Intermediate level (B2) or higher, allowing you to articulate technical concepts clearly.

Nice to Have

• Experience with OpenTelemetry, monitoring tools, or distributed tracing.
• Background in data-intensive platforms, analytics, or BI systems.

OUR BENEFITS:

• We’re all working remotely.
• We hire only people we trust. All Sisensers join the company without a probation period.
• We believe all Sisensers should be owners of our company’s success. We grant all employees stock options that start vesting on Day One.
• We support a work-life balance philosophy and provide unlimited vacations (flexible time off) and additional long weekends to all Sisensers.
• We support professional growth with access to the modern learning platform.
• We care about each other. All team members have extended medical insurance.
• We provide Sisensers with a sports reimbursement to support physical fitness and mental well-being.

About Shelf

The enterprise is going agentic — but most AI agents fail when they hit real business complexity. Shelf is changing that.

We’ve built the operating system for agentic AI: a platform that models your policies, workflows, and operational logic into an AI Data Model so agents don’t just respond — they reason. The result? AI that understands how your business actually runs and delivers precise, compliant, auditable outcomes at scale.

Brands like Amazon, Nespresso, HelloFresh, and KeyBank trust Shelf to power AI agents that resolve 85% of cases autonomously, cut handle times by 20–25%, and turn hours-long processes into seconds. We’re partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks — and recognized by Gartner (Cool Vendor) and IDC (Innovator) for our approach.

If you want to sell the infrastructure that makes agentic AI actually work in the enterprise, you’re in the right place.

Our mission is to empower humanity with better answers everywhere.

Senior Frontend React Developer:

As a Frontend Engineer at Shelf, you'll craft the interfaces that make enterprise AI accessible and trustworthy. While others are building chatbots, we're solving the harder problem: how do you build UIs that help users confidently navigate AI-powered systems processing millions of documents, while maintaining enterprise-grade reliability?

You won't just build React components — you'll architect production-ready Next.js applications that handle high-load scenarios with complex states, real-time AI streaming, and multiple layers of enterprise functionality. Every interface decision you make directly impacts how knowledge workers at the biggest companies in the market interact with their most critical information.

This is frontend engineering at its most demanding. You'll tackle challenges like building real-time streaming interfaces for LLM responses, architecting state management for concurrent AI operations across multiple tenants, creating accessible interfaces for complex knowledge graphs with thousands of nodes, and ensuring blazing fast interactions even with petabytes of searchable content. Your components will bridge everything from enterprise authentication systems to cutting-edge AI models, requiring both sophisticated technical skills and sharp product instincts.

We obsess over frontend quality because we're building the trust layer for AI itself. When your interfaces gracefully handle edge cases, provide clear feedback during AI processing, and remain performant under load, you're not just meeting UX standards - you're directly enabling users to trust AI-powered answers and make critical business decisions with confidence.

You'll work on production SSR applications serving thousands of enterprise users, implementing localization for global markets, ensuring accessibility compliance, and maintaining security standards that pass SOC 2 audits. Your code will integrate with our Elasticsearch clusters, DynamoDB tables, and Aurora PostgreSQL databases through the largest park of REST APIs, handling real-time websocket updates for AI streaming and collaborative features.

We're a product company that ships fast without compromising on lasting quality. You'll work alongside proactive, ever-learning engineers who actively use AI coding assistants (OpenAI Codex, Claude Code) to accelerate development. We build custom MCP servers, implement DSPy pipelines for LLM optimization, and experiment with different AI tools for implementation. In our environment, AI isn't just what we build — it's how we build.

The best engineers we know are drawn to problems that matter. If you're excited by the challenge of building interfaces that make the AI revolution actually usable and trustworthy for enterprise users, this role offers the rare combination of technical depth, meaningful impact, and the prestige of solving UX patterns that the industry hasn't figured out yet.

Responsibilities

• Design and implement production-ready Next.js SSR applications with complex state management, handling high-load scenarios and real-time AI interactions at scale
• Build interfaces for AI-powered features including streaming LLM responses, semantic search across millions of documents, interactive knowledge graphs, intelligent content recommendations, and AI agentic builders
• Architect component libraries and maintain our design system in Storybook, ensuring reusability, accessibility, and consistent UX patterns across the platform
• Develop enterprise-grade functionality including multi-language support, accessibility compliance, cross-browser compatibility, and security implementations that meet SOC 2 standards
• Create comprehensive technical specifications and component API designs that clearly communicate interface decisions, performance trade-offs, and accessibility considerations
• Build and optimize data-heavy UIs using React Flow for node-based graphs, Highcharts for analytics visualizations, and custom virtualization for handling large datasets
• Instrument components for performance monitoring, track Core Web Vitals, implement error boundaries, and build automated visual regression tests with Playwright
• Take full ownership of the features you build, monitoring their performance in production, optimizing bundle sizes, and ensuring they scale gracefully as user load grows
• Work with SWR for intelligent data fetching, caching, and revalidation strategies that minimize API calls while keeping UIs responsive and data fresh
• Integrate with backend services via REST APIs, handle websocket connections for real-time updates, and implement optimistic UI patterns for seamless user experiences
• Leverage AI coding assistants to accelerate development while maintaining high code quality, and contribute to building internal AI agents that automate frontend workflows
• Stay current with React ecosystem best practices, Next.js updates, AI UX patterns, and modern frontend architecture—experiment with new approaches and share findings with the team
• Contribute to our engineering standards and practices through thoughtful code reviews, mentor colleagues on frontend best practices, and actively participate in our culture of continuous learning

Requirements

• Over 5 years of professional frontend engineering experience, including more than 3 years specializing in React and modern JavaScript/TypeScript
• Production Next.js experience - you've built and shipped SSR applications at scale, understand app router patterns, server components, and the trade-offs between SSR, SSG, and CSR
• Deep TypeScript expertise - you write type-safe code with generics, utility types, and advanced patterns. 
• Complex state management - hands-on experience architecting state solutions for challenging scenarios: real-time collaboration, optimistic updates, multi-tenant data isolation, and large-scale data synchronization
• Enterprise application development - you've built applications with localization (i18n), accessibility, security best practices, and compliance requirements. You understand the complexity beyond "making it work"
• AI/LLM interface experience - you've built interfaces for AI-powered features: streaming token responses, chat UIs, semantic search, or similar real-time AI interactions
• High-load optimization - proven track record optimizing applications for performance under heavy traffic, large datasets, and concurrent operations. You monitor Core Web Vitals and know how to improve them
• Modern CSS mastery - strong expertise with Tailwind CSS and/or CSS-in-JS solutions. You can implement pixel-perfect designs while maintaining responsive layouts and dark mode support
• Write well-structured, testable code with thoughtful component abstractions and clean APIs. You know when to abstract and when to keep it simple
• Strong problem-solving skills and genuine curiosity - you don't wait for designs to be perfect but proactively identify UX issues and propose solutions. You're never satisfied with "good enough" and constantly refine your craft
• Experience with AI coding assistants (OpenAI Codex, Claude, etc.) and eagerness to push the boundaries of AI-assisted development. Part of this role involves creating AI agents to automate portions of the frontend workflow
• Familiarity with observability and monitoring tools like Datadog, Sentry, or similar platforms for tracking frontend performance and errors in production
• Upper-Intermediate or better English skills for technical communication, documentation, and collaborating with distributed teams
• Present your work effectively both verbally and visually - you can articulate design decisions, create component documentation, and explain technical trade-offs clearly

Be a Plus:

• Experience with React Flow, Highcharts, or other complex data visualization libraries
• Understanding of Node.js/Python/backend fundamentals - you can read backend code and contribute to API design discussions
• Experience with SWR, React Query, or similar data fetching libraries
• Hands-on experience with vector search UIs, RAG interfaces, or semantic search implementations
• Familiarity with MCP (Model Context Protocol), DSPy, or other cutting-edge AI frameworks
• Experience with monorepo tools (Lerna, Turborepo, Nx) and managing shared component libraries
• AWS services knowledge (S3, CloudFront, Lambda) and understanding of serverless architectures
• Built or contributed to design systems or open-source component libraries
• Experience with Playwright, Puppeteer, or Cypress for comprehensive E2E testing
• Experience building AI agent interfaces or agentic AI workflows

What Shelf Offers:

• B2B contract
• Company Stock Options
• Hardware: MacBook Pro
• Modern technical stack. Develop open-source software
• Premier AI development environment: GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, v0, MCP Servers, plus credits for experimenting with emerging AI tools

Why Shelf

• Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
• We love our customers and our customers love us. Ask a Shelf customer why, and they’ll tell you it’s because of our innovative capabilities, rock-solid reliability, they truly enjoy working with our people, but most of all – it’s the improvements they see in their business KPIs.
• We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
• We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row
• We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months

Our Values:

Quality - We’re united by our focus on world‑class Quality. Quality in all things – starting with everything that leaves your desk. Everything you touch – every email, report, campaign, and piece of code – should be outstanding. Your work product should blow people away. Having people look at what you’ve done and say, “Wow.” That’s the standard here. Remember that how you do anything is how you do everything. Focus on craftsmanship—your ability to make things better.

Momentum - for us means that you should know that the things you’re responsible for are moving forward. When you look around and see something that’s stalled, get it moving again. We pride ourselves on “ball movement.” When your boss or team leaves you with something, they should return to see measurable progress. Small, continuous movement is our recipe for success. Constantly look for how to make the work around you move forward. We want you to initiate solutions, ideas, and progress. Don’t wait for it to come to you—reach out and create movement. All the time.

Accountability - We expect every team member to feel that they are accountable for more than anyone might normally expect. Each of us should feel real responsibility for things even at the edge of our control. We consistently share and align on expectations, give each other open and respectful feedback, and use those two drivers to ensure that every agreement we make with one another is clear and complete.

Hard Work - We’re here to do something difficult together. We care intensely about the mission and we expect that from our teammates. That care means that we work hard here. Hard work comes with long hours, extra effort…and real opportunity at Shelf. Your passion for creating and sustaining output is a part of our DNA. Support each other, cheer each other on, drive the mission forward. Great teams sustain intense effort together to win.

Learning Agility - We’re innovating in one of the fastest‑moving spaces in history at a time of accelerating global change. That’s incredibly exciting and requires each of us to commit fully to learning each and every day so that we can be the best at what we do. None of us know everything. All of us can learn anything. Staying open and constantly curious is a key success driver at Shelf. It also requires humility. We prize people who are consistently humble and open to making mistakes and growing from them. Recognize also that learning itself is a skill…we need you to be really good at it. Keep dialing in your own understanding about how you learn best and push yourself to keep growing.

Adapt and Thrive - Overcoming challenges lives deep in our DNA. We have a proud history of understanding and living the reality that obstacles are our opportunities…they’re the key to our success. Change is a constant in our business and fighting change is counterproductive. We need you to be good at being uncomfortable and understand that discomfort is the key to growth. Cultivate your own ability to adapt and know that struggling well is something you’ll share with every team you’re on at Shelf. Our company stories are about thriving through real difficulty…together.

Win Together - We win or lose as a team. Always. Everything you do here is connected to the rest of the organization. Part of our shared team environment demands full honesty…real candor and directness with one another. We expect you to constantly be thinking about how to support your teammates and the company, always acting in service to our shared mission and what’s best for the organization as a whole.

About Shelf

The enterprise is going agentic — but most AI agents fail when they hit real business complexity. Shelf is changing that.

We’ve built the operating system for agentic AI: a platform that models your policies, workflows, and operational logic into an AI Data Model so agents don’t just respond — they reason. The result? AI that understands how your business actually runs and delivers precise, compliant, auditable outcomes at scale.

Brands like Amazon, Nespresso, HelloFresh, and KeyBank trust Shelf to power AI agents that resolve 85% of cases autonomously, cut handle times by 20–25%, and turn hours-long processes into seconds. We’re partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks — and recognized by Gartner (Cool Vendor) and IDC (Innovator) for our approach.

If you want to sell the infrastructure that makes agentic AI actually work in the enterprise, you’re in the right place.

Our mission is to empower humanity with better answers everywhere.

Summary

The R&D department plays a pivotal role in driving Shelf to disrupt the market. We are looking for Machine Learning experts that are able to deliver end to end with a blend of experience: Python engineering, ML engineering, and pragmatic Data science and Machine learning research. You will ship end-to-end features—from problem framing and experimentation to service deployment, and ongoing operations—quickly and with high quality. Your work will power ML- and LLM-driven services used by top enterprises like Amazon, Mayo Clinic, AmFam, and Nespresso.

This role requires strong Python engineering capabilities coupled with a strong ability to deliver robust ML solutions, along with ML research literacy to choose sound methodologies, define metrics, and evaluate different approaches effectively.

You’ll work in an agile environment, move fast, and own what you ship.

Responsibilities

• Own end-to-end delivery: ideate, research, prototype, productionize, and operate ML-powered services with an expectation to iterate and ship frequently
• Stand up robust training/evaluation pipelines: dataset curation, labeling/feedback loops, experiment tracking, offline/online metrics, and A/B testing
• Solve problems using sound methodology, evaluate approaches along with 
• Transform ML models and LLM workflows (including RAG) into reusable, versioned, observable production services with CI/CD
• Collaborate with Product Owners to shape our product and requirements
• Conduct and receive code reviews; champion engineering excellence, testing discipline, and documentation
• Leverage AI coding assistants to accelerate development and create internal agents that automate parts of the engineering workflow
• Share learnings through demos, docs, and knowledge sessions; contribute to a culture of continuous improvement

Requirements

• 3+ years of professional experience researching and shipping ML-based solutions, with strong Python skills and a track record of delivering fast without sacrificing quality
• Proven experience in owning research problems end-to-end, starting from initial data analysis, through iterative research phases to delivering on production
• Practical NLP/LLM experience: transformers, embeddings, prompt design, and evaluation; ability to choose and justify metrics and methodologies
• Strong backend fundamentals: designing RESTful services, schema design, data modeling, and performance tuning for SQL and NoSQL stores
• Data processing skills: pandas/NumPy; experience with batch/stream processing and ETL orchestration (e.g., Airflow, Step Functions)
• Strong English verbal and written communication

As a plus

• LLM ops and safety: eval frameworks (e.g., RAGAS), guardrails, red-teaming, prompt optimization at scale
• Model optimization: quantization, distillation, pruning; GPU/accelerator-aware serving
• Experience with AWS ML stack (SageMaker, Batch, Step Functions, Lambda, SQS/SNS, DynamoDB, ECS, EC2, S3)
• Vector databases and search: Pinecone, Elasticsearch, pgvector, FAISS, or DeepLake
• Background in reinforcement learning, agent frameworks, or autonomous agents
• Publications, open-source contributions, GitHub portfolio

What Shelf Offers

• B2B contract
• Company Stock Options
• Hardware: MacBook Pro
• Modern technical stack. Develop open-source software
• Premier AI development environment: GitHub Copilot, Claude Code, OpenAI, TypingMind, v0, MCP Servers, plus credits to experiment with emerging AI tools

Why Shelf

• Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
• We love our customers and our customers love us. Ask a Shelf customer why, and they’ll tell you it’s because of our innovative capabilities, rock-solid reliability, they truly enjoy working with our people, but most of all – it’s the improvements they see in their business KPIs.
• We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
• We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row
• We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months

Our Values:

Quality - We’re united by our focus on world‑class Quality. Quality in all things – starting with everything that leaves your desk. Everything you touch – every email, report, campaign, and piece of code – should be outstanding. Your work product should blow people away. Having people look at what you’ve done and say, “Wow.” That’s the standard here. Remember that how you do anything is how you do everything. Focus on craftsmanship—your ability to make things better.

Momentum - for us means that you should know that the things you’re responsible for are moving forward. When you look around and see something that’s stalled, get it moving again. We pride ourselves on “ball movement.” When your boss or team leaves you with something, they should return to see measurable progress. Small, continuous movement is our recipe for success. Constantly look for how to make the work around you move forward. We want you to initiate solutions, ideas, and progress. Don’t wait for it to come to you—reach out and create movement. All the time.

Accountability - We expect every team member to feel that they are accountable for more than anyone might normally expect. Each of us should feel real responsibility for things even at the edge of our control. We consistently share and align on expectations, give each other open and respectful feedback, and use those two drivers to ensure that every agreement we make with one another is clear and complete.

Hard Work - We’re here to do something difficult together. We care intensely about the mission and we expect that from our teammates. That care means that we work hard here. Hard work comes with long hours, extra effort…and real opportunity at Shelf. Your passion for creating and sustaining output is a part of our DNA. Support each other, cheer each other on, drive the mission forward. Great teams sustain intense effort together to win.

Learning Agility - We’re innovating in one of the fastest‑moving spaces in history at a time of accelerating global change. That’s incredibly exciting and requires each of us to commit fully to learning each and every day so that we can be the best at what we do. None of us know everything. All of us can learn anything. Staying open and constantly curious is a key success driver at Shelf. It also requires humility. We prize people who are consistently humble and open to making mistakes and growing from them. Recognize also that learning itself is a skill…we need you to be really good at it. Keep dialing in your own understanding about how you learn best and push yourself to keep growing.

Adapt and Thrive - Overcoming challenges lives deep in our DNA. We have a proud history of understanding and living the reality that obstacles are our opportunities…they’re the key to our success. Change is a constant in our business and fighting change is counterproductive. We need you to be good at being uncomfortable and understand that discomfort is the key to growth. Cultivate your own ability to adapt and know that struggling well is something you’ll share with every team you’re on at Shelf. Our company stories are about thriving through real difficulty…together.

Win Together - We win or lose as a team. Always. Everything you do here is connected to the rest of the organization. Part of our shared team environment demands full honesty…real candor and directness with one another. We expect you to constantly be thinking about how to support your teammates and the company, always acting in service to our shared mission and what’s best for the organization as a whole.

There are no limitations, no barriers when the right people are on your way — apply for the vacancy and succeed with us!

Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion.

As PandaDoc continues to scale, we’re expanding our security team and looking for an Application Security Engineer to help shape and strengthen our security foundations. In this role, you’ll take ownership of key security initiatives across our application, working closely with engineering to embed security into every stage of development. You’ll contribute to building a proactive, automation-driven security culture while addressing both current risks and emerging challenges, including AI security.

In this role, you will:

• Monitor and test information systems to identify vulnerabilities
• Execute or manage the remediation of identified vulnerabilities
• Respond to security incidents and perform root cause analysis
• Assess and understand PandaDoc’s current security framework and future architecture, providing recommendations for risk reduction
• Design, implement, maintain, and evangelize automated security solutions
• Work closely with engineering teams to implement new security controls
• Analyze and monitor relevant security threats and prevention measures based on industry trends and standards
• Perform cloud services hardening, including reviewing roles and permissions for services and APIs
• Help address emergent threats in AI security as PandaDoc deploys AI in its product and for internal use

Our stack:

• Service-oriented architecture
• Two main stacks: Java and Python
• Amazon Web Services: EKS, RDS, ElastiCache, etc.
• A combination of AWS native and 3rd party security tools for infrastructure and application security  (WAF, CNAPP, SCA/SAST, DAST, AWS GuardDuty, etc.)

About you:

• 2+ years of cloud security experience implementing security controls and best practices in AWS, GCP, or Microsoft Azure
• 2+ years of experience with security management tools, including IPS/IDS, WAF, vulnerability scanning, and penetration testing
• Good understanding of Access Control and Identity Access Management principles (SAML 2.0, OAuth, JWT, etc) 
• Experience with implementing DevSecOps practices in SSDLC
• Solid interpersonal, written, and verbal communication skills
• Upper-Intermediate English level (B2+)

Company Overview: 

PandaDoc empowers more than 60,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.  For more information, please visit https://www.pandadoc.com.

Company Culture: 

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. 

Check out our LinkedIn to learn more.

Benefits:

• A competitive salary. If you are located in Poland, the salary range is 222000 to 334000 PLN annually.
• An honest, open culture that emphasizes feedback and promotes professional and personal development
• An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
• 6 self care days
• And much more!

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

EXTERNAL RECRUITERS

Approval Requirement

The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.

Senior Software Engineer

Company description

At PandaDoc, we're building the future of documents.
Our platform helps teams create, send, track, and e-sign proposals, contracts, and other documents, making our clients' lives more efficient and collaborative.

We’re a fast-growing company with a global reach. Our product is used by people around the world, from small businesses to large enterprises. In 2024, we reached a major milestone: over $100 million in annual recurring revenue! We're constantly innovating and releasing new features to meet the evolving needs of our customers, all while focusing on stability, quality, and performance.

Our Engineering team is a diverse and talented group of around 250 individuals, passionate about building a world-class product. While this is a fully remote position, we'd love for you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv whenever you'd like to connect with colleagues in person.

Currently, PandaDoc is seeking a Senior Java Engineer to join our Document App Track.

The Document App Track focuses on the core entity of PandaDoc — documents. We build the systems that allow users to create, import, process, and export documents at scale. In this team, we are tackling the challenge of building and maintaining mission-critical backend services that power PandaDoc document import and export (PDF, DOCX, and other formats). Our goal is to ensure high system reliability, streamline release processes, and maintain production service stability. We own several business-critical services and are responsible for making them robust, efficient, and scalable to support our company’s growth.

Are you adaptable, driven, and friendly? Do you thrive in a fast-paced work environment where collaboration is the norm? If the answer is yes, then you’re a Panda, and we want you to join our team.

In this role, you will:

• Design, build, test, and deliver features to production as part of a 5-person team.
• Keep production services stable (maintaining SLO), react to alerts and incidents.
• Face and overcome multiple scale-related technical problems in distributed systems.
• Find and address systematic issues to maintain low time-to-change with high change-confidence levels.
• Work on integrating AI-powered features (e.g. automatic field detection), collaborating with dedicated AI teams.
• Participate in team activities and rituals: code review, on-call rotation, planning, PBR, retro, daily standups,
• Collaborate with the broader team (track level, consisting of 5 teams)

Our stack:

• Java 17/21 with Spring Boot 3
• PostgreSQL 17 as our primary database
• Kafka for async communication patterns
• Temporal for managing asynchronous workflows
• JUnit and automated testing frameworks
• Amazon Web Services
• Docker, Kubernetes
• Distributed monitoring stack (traces, logs, metrics)

About you:

• 5+ years of experience as a Software Engineer.
• Experience working with production systems, including on-call responsibilities.
• Strong experience with Java and Spring Boot (Java 17/21, Spring Boot 3).
• Solid understanding of microservices architecture, distributed systems, and asynchronous communication (Kafka).
• Experience with relational databases (SQL, performance optimization), ideally PostgreSQL.
• Good knowledge of testing practices (JUnit, automated testing).
• Strong system design and problem-solving skills.
• Experience across the full development lifecycle, from design to deployment and monitoring.
• Ability to stay calm and effective during incident handling.
• Strong communication skills and ability to collaborate in English (written and spoken).

Company Overview: 

PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.  For more information, please visit https://www.pandadoc.com.

Company Culture: 

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. 

Check out our LinkedIn to learn more.

Benefits:

• Competitive salary. If you're located in Poland, the salary range is 275000 - 413000 PLN annually.
• Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
• We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters.
• Work schedule aligned with EU time zones.
• Honest, open culture that values constructive feedback.
• Professional and personal development within a collaborative, supportive team.
• Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

EXTERNAL RECRUITERS

Approval Requirement

The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.

Senior Software Engineer

Company description

At PandaDoc, we're building the future of documents.
Our platform helps teams create, send, track, and e-sign proposals, contracts, and other documents, making our clients' lives more efficient and collaborative.

We’re a fast-growing company with a global reach. Our product is used by people around the world, from small businesses to large enterprises. In 2024, we reached a major milestone: over $100 million in annual recurring revenue! We're constantly innovating and releasing new features to meet the evolving needs of our customers, all while focusing on stability, quality, and performance.

Our Engineering team is a diverse and talented group of around 250 individuals, passionate about building a world-class product. While this is a fully remote position, we'd love for you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv whenever you'd like to connect with colleagues in person.

Currently, PandaDoc is seeking a Senior Java Engineer to join our Document App Track.

The Document App Track focuses on the core entity of PandaDoc — documents. We build the systems that allow users to create, import, process, and export documents at scale. In this team, we are tackling the challenge of building and maintaining mission-critical backend services that power PandaDoc document import and export (PDF, DOCX, and other formats). Our goal is to ensure high system reliability, streamline release processes, and maintain production service stability. We own several business-critical services and are responsible for making them robust, efficient, and scalable to support our company’s growth.

Are you adaptable, driven, and friendly? Do you thrive in a fast-paced work environment where collaboration is the norm? If the answer is yes, then you’re a Panda, and we want you to join our team.

In this role, you will:

• Design, build, test, and deliver features to production as part of a 5-person team.
• Keep production services stable (maintaining SLO), react to alerts and incidents.
• Face and overcome multiple scale-related technical problems in distributed systems.
• Find and address systematic issues to maintain low time-to-change with high change-confidence levels.
• Work on integrating AI-powered features (e.g. automatic field detection), collaborating with dedicated AI teams.
• Participate in team activities and rituals: code review, on-call rotation, planning, PBR, retro, daily standups,
• Collaborate with the broader team (track level, consisting of 5 teams)

Our stack:

• Java 17/21 with Spring Boot 3
• PostgreSQL 17 as our primary database
• Kafka for async communication patterns
• Temporal for managing asynchronous workflows
• JUnit and automated testing frameworks
• Amazon Web Services
• Docker, Kubernetes
• Distributed monitoring stack (traces, logs, metrics)

About you:

• 5+ years of experience as a Software Engineer.
• Experience working with production systems, including on-call responsibilities.
• Strong experience with Java and Spring Boot (Java 17/21, Spring Boot 3).
• Solid understanding of microservices architecture, distributed systems, and asynchronous communication (Kafka).
• Experience with relational databases (SQL, performance optimization), ideally PostgreSQL.
• Good knowledge of testing practices (JUnit, automated testing).
• Strong system design and problem-solving skills.
• Experience across the full development lifecycle, from design to deployment and monitoring.
• Ability to stay calm and effective during incident handling.
• Strong communication skills and ability to collaborate in English (written and spoken).

Company Overview: 

PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.  For more information, please visit https://www.pandadoc.com.

Company Culture: 

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. 

Check out our LinkedIn to learn more.

Benefits:

• Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
• We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters.
• Work schedule aligned with EU time zones.
• Honest, open culture that values constructive feedback.
• Professional and personal development within a collaborative, supportive team.
• Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

EXTERNAL RECRUITERS

Approval Requirement

The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.

Senior Software Engineer

Company description

At PandaDoc, we're building the future of documents.
Our platform helps teams create, send, track, and e-sign proposals, contracts, and other documents, making our clients' lives more efficient and collaborative.

We’re a fast-growing company with a global reach. Our product is used by people around the world, from small businesses to large enterprises. In 2024, we reached a major milestone: over $100 million in annual recurring revenue! We're constantly innovating and releasing new features to meet the evolving needs of our customers, all while focusing on stability, quality, and performance.

Our Engineering team is a diverse and talented group of around 250 individuals, passionate about building a world-class product. While this is a fully remote position, we'd love for you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv whenever you'd like to connect with colleagues in person.

Currently, PandaDoc is seeking a Senior Java Engineer to join our Document App Track.

The Document App Track focuses on the core entity of PandaDoc — documents. We build the systems that allow users to create, import, process, and export documents at scale. In this team, we are tackling the challenge of building and maintaining mission-critical backend services that power PandaDoc document import and export (PDF, DOCX, and other formats). Our goal is to ensure high system reliability, streamline release processes, and maintain production service stability. We own several business-critical services and are responsible for making them robust, efficient, and scalable to support our company’s growth.

Are you adaptable, driven, and friendly? Do you thrive in a fast-paced work environment where collaboration is the norm? If the answer is yes, then you’re a Panda, and we want you to join our team.

In this role, you will:

• Design, build, test, and deliver features to production as part of a 5-person team.
• Keep production services stable (maintaining SLO), react to alerts and incidents.
• Face and overcome multiple scale-related technical problems in distributed systems.
• Find and address systematic issues to maintain low time-to-change with high change-confidence levels.
• Work on integrating AI-powered features (e.g. automatic field detection), collaborating with dedicated AI teams.
• Participate in team activities and rituals: code review, on-call rotation, planning, PBR, retro, daily standups,
• Collaborate with the broader team (track level, consisting of 5 teams)

Our stack:

• Java 17/21 with Spring Boot 3
• PostgreSQL 17 as our primary database
• Kafka for async communication patterns
• Temporal for managing asynchronous workflows
• JUnit and automated testing frameworks
• Amazon Web Services
• Docker, Kubernetes
• Distributed monitoring stack (traces, logs, metrics)

About you:

• 5+ years of experience as a Software Engineer.
• Experience working with production systems, including on-call responsibilities.
• Strong experience with Java and Spring Boot (Java 17/21, Spring Boot 3).
• Solid understanding of microservices architecture, distributed systems, and asynchronous communication (Kafka).
• Experience with relational databases (SQL, performance optimization), ideally PostgreSQL.
• Good knowledge of testing practices (JUnit, automated testing).
• Strong system design and problem-solving skills.
• Experience across the full development lifecycle, from design to deployment and monitoring.
• Ability to stay calm and effective during incident handling.
• Strong communication skills and ability to collaborate in English (written and spoken).

Company Overview: 

PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.  For more information, please visit https://www.pandadoc.com.

Company Culture: 

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. 

Check out our LinkedIn to learn more.

Benefits:

• Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
• We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters.
• Work schedule aligned with EU time zones.
• Honest, open culture that values constructive feedback.
• Professional and personal development within a collaborative, supportive team.
• Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

EXTERNAL RECRUITERS

Approval Requirement

The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.

Senior Software Engineer

Company description

At PandaDoc, we're building the future of documents.
Our platform helps teams create, send, track, and e-sign proposals, contracts, and other documents, making our clients' lives more efficient and collaborative.

We’re a fast-growing company with a global reach. Our product is used by people around the world, from small businesses to large enterprises. In 2024, we reached a major milestone: over $100 million in annual recurring revenue! We're constantly innovating and releasing new features to meet the evolving needs of our customers, all while focusing on stability, quality, and performance.

Our Engineering team is a diverse and talented group of around 250 individuals, passionate about building a world-class product. While this is a fully remote position, we'd love for you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv whenever you'd like to connect with colleagues in person.

Currently, PandaDoc is seeking a Senior Java Engineer to join our Document App Track.

The Document App Track focuses on the core entity of PandaDoc — documents. We build the systems that allow users to create, import, process, and export documents at scale. In this team, we are tackling the challenge of building and maintaining mission-critical backend services that power PandaDoc document import and export (PDF, DOCX, and other formats). Our goal is to ensure high system reliability, streamline release processes, and maintain production service stability. We own several business-critical services and are responsible for making them robust, efficient, and scalable to support our company’s growth.

Are you adaptable, driven, and friendly? Do you thrive in a fast-paced work environment where collaboration is the norm? If the answer is yes, then you’re a Panda, and we want you to join our team.

In this role, you will:

• Design, build, test, and deliver features to production as part of a 5-person team.
• Keep production services stable (maintaining SLO), react to alerts and incidents.
• Face and overcome multiple scale-related technical problems in distributed systems.
• Find and address systematic issues to maintain low time-to-change with high change-confidence levels.
• Work on integrating AI-powered features (e.g. automatic field detection), collaborating with dedicated AI teams.
• Participate in team activities and rituals: code review, on-call rotation, planning, PBR, retro, daily standups,
• Collaborate with the broader team (track level, consisting of 5 teams)

Our stack:

• Java 17/21 with Spring Boot 3
• PostgreSQL 17 as our primary database
• Kafka for async communication patterns
• Temporal for managing asynchronous workflows
• JUnit and automated testing frameworks
• Amazon Web Services
• Docker, Kubernetes
• Distributed monitoring stack (traces, logs, metrics)

About you:

• 5+ years of experience as a Software Engineer.
• Experience working with production systems, including on-call responsibilities.
• Strong experience with Java and Spring Boot (Java 17/21, Spring Boot 3).
• Solid understanding of microservices architecture, distributed systems, and asynchronous communication (Kafka).
• Experience with relational databases (SQL, performance optimization), ideally PostgreSQL.
• Good knowledge of testing practices (JUnit, automated testing).
• Strong system design and problem-solving skills.
• Experience across the full development lifecycle, from design to deployment and monitoring.
• Ability to stay calm and effective during incident handling.
• Strong communication skills and ability to collaborate in English (written and spoken).

Company Overview: 

PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.  For more information, please visit https://www.pandadoc.com.

Company Culture: 

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. 

Check out our LinkedIn to learn more.

Benefits:

• Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
• We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters.
• Work schedule aligned with EU time zones.
• Honest, open culture that values constructive feedback.
• Professional and personal development within a collaborative, supportive team.
• Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

EXTERNAL RECRUITERS

Approval Requirement

The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.

SENIOR DEVOPS ENGINEER – AWS

We’re growing rapidly and are looking for Senior DevOps to embark on an international software development project. We want everyone to build a career they can be proud of and will support you in your development from day one. 

WE ARE AMDARIS

We fuse together exceptional talent who deliver outstanding software solutions our blended model of resources across Europe.
We are growing  and we are now looking for a Senior DevOps Engineer (AWS) to embark on an international project and work with the latest technologies alongside the brightest minds in a collaborative and energetic work environment. We are offering stimulating salaries plus a great range of benefits, including the opportunity of building and enhancing yourself a successful career within a highly reputable organization. A great team mentality is essential, with the ability to lead by example and promote good team spirit and collaboration.

Software Engineer

Company description

At PandaDoc, we're building the future of documents.
Our platform helps teams create, send, track, and e-sign proposals, contracts, and other documents, making our clients' lives more efficient and collaborative.

We’re a fast-growing company with a global reach. Our product is used by people around the world, from small businesses to large enterprises. In 2024, we reached a major milestone: over $100 million in annual recurring revenue! We're constantly innovating and releasing new features to meet the evolving needs of our customers, all while focusing on stability, quality, and performance.

Our Engineering team is a diverse and talented group of around 250 individuals, passionate about building a world-class product. While this is a fully remote position, we'd love for you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv whenever you'd like to connect with colleagues in person.

Currently, PandaDoc is seeking a Middle Python Engineer to join our Document App Track. The role is part of the Document Domain team, which owns one of the most critical components of our platform - the document itself. This team is responsible for the core functionality that powers document creation, editing, and management across the product. The responsibilities include improving reliability, maintaining high quality standards, and enhancing developer experience while evolving the document platform to support new product capabilities. You will also have a chance to contribute to the long term domain excellence strategy. Are you adaptable, driven, and friendly? Do you thrive in a fast-paced work environment where collaboration is the norm? If the answer is yes, then you’re a Panda, and we want you to join our team.

In this role, you will:

• Contribute to the vision and the architecture of the key component of the application - Document domain
• Face and overcome multiple scale-related technical challenges
• Finding and addressing systematic issues to maintain low time-to-change for other developers with a high change-confidence level

Our stack:

• Microservice fleet around a large monolithic application in Django
• PostgreSQL, Redis, Memcached
• Python, Django
• Amazon Web Services
• Docker, Kubernetes
• Kafka, NATS
• AsyncIO
• Grafana Monitoring Stack: Loki, Tempo, Mimir, Grafana

About you:

• At least 3+ years of development experience with Python
• Experience with any relational databases (SQL queries, migrations, optimization)
• Experience with message queues (e.g. RabbitMQ, NATS, Kafka)
• Understanding of event-based systems and basics of DDD
• Strong understanding and experience in AsyncIO
• Good understanding of the development cycle from requirements analysis and deployment to application monitoring
• Hands-on experience in developing applications within both monolithic and microservice architectures
• Communicate effectively in English, both orally and in writing

Company Overview: 

PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.  For more information, please visit https://www.pandadoc.com.

Company Culture: 

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. 

Check out our LinkedIn to learn more.

Benefits:

• Competitive salary. 
• Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
• We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters.
• Work schedule aligned with EU time zones.
• Honest, open culture that values constructive feedback.
• Professional and personal development within a collaborative, supportive team.
• Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

EXTERNAL RECRUITERS

Approval Requirement

The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.

Senior Software Engineer

Company description

At PandaDoc, we're building the future of documents.
Our platform helps teams create, send, track, and e-sign proposals, contracts, and other documents, making our clients' lives more efficient and collaborative.

We’re a fast-growing company with a global reach. Our product is used by people around the world, from small businesses to large enterprises. In 2024, we reached a major milestone: over $100 million in annual recurring revenue! We're constantly innovating and releasing new features to meet the evolving needs of our customers, all while focusing on stability, quality, and performance.

Our Engineering team is a diverse and talented group of around 250 individuals, passionate about building a world-class product. While this is a fully remote position, we'd love for you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv whenever you'd like to connect with colleagues in person.

Currently, PandaDoc is seeking a Senior Python Engineer to join our Document App Track. The role is part of the Document Domain team, which owns one of the most critical components of our platform - the document itself. This team is responsible for the core functionality that powers document creation, editing, and management across the product. The responsibilities include improving reliability, maintaining high quality standards, and enhancing developer experience while evolving the document platform to support new product capabilities. You will also have a chance to contribute to the long term domain excellence strategy. Are you adaptable, driven, and friendly? Do you thrive in a fast-paced work environment where collaboration is the norm? If the answer is yes, then you’re a Panda, and we want you to join our team.

In this role, you will:

• Contribute to the vision and the architecture of the key component of the application - Document domain
• Face and overcome multiple scale-related technical challenges
• Finding and addressing systematic issues to maintain low time-to-change for other developers with a high change-confidence level

Our stack:

• Microservice fleet around a large monolithic application in Django
• PostgreSQL, Redis, Memcached
• Python, Django
• Amazon Web Services
• Docker, Kubernetes
• Kafka, NATS
• AsyncIO
• Grafana Monitoring Stack: Loki, Tempo, Mimir, Grafana

About you:

• At least 5+ years of development experience with Python
• Experience with any relational databases (SQL queries, migrations, optimization)
• Solid experience with message queues (e.g. RabbitMQ, NATS, Kafka)
• Understanding of event-based systems and basics of DDD
• Strong understanding and experience in AsyncIO
• Good understanding of the development cycle from requirements analysis and deployment to application monitoring
• Extensive hands-on experience in developing applications within both monolithic and microservice architectures
• Communicate effectively in English, both orally and in writing

Company Overview: 

PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.  For more information, please visit https://www.pandadoc.com.

Company Culture: 

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. 

Check out our LinkedIn to learn more.

Benefits:

• Competitive salary. 
• Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
• We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters.
• Work schedule aligned with EU time zones.
• Honest, open culture that values constructive feedback.
• Professional and personal development within a collaborative, supportive team.
• Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

EXTERNAL RECRUITERS

Approval Requirement

The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.

Site Reliability Engineers (SREs) are essential to PandaDoc's success, ensuring customers receive a reliable service with minimal downtime.

The SRE team achieves this by:

• Owning the incident management processes and tools.
• Managing the observability stack and alerting systems to enable timely investigation and mitigation.
• Actively contributing to service codebases to proactively prevent incidents and resolve performance bottlenecks.

In essence, SREs are the cornerstone of production service resiliency, driving efforts in observability, incident management, capacity planning, and maintaining reliable operations. 

In this role, you will:

• Own and influence the incident management process end-to-end
• Maintain and evolve on-prem observability stack
• Keep production applications running smoothly by participating in the on-call rotation
• Develop automations and tools to support platform reliability
• Contribute to production services with performance and resiliency in mind
• Collaborate with product engineers to foster SRE principles within the R&D organization
• Be a mentor for the SRE team or product engineers

About you:

• Solid programming experience, namely Python (Django and AsyncIO)  and/or Java (Spring Boot)
• Experience in maintaining an observability tools suite (specifically, LGTM - Loki, Grafana, Tempo, Mimir)
• Experience in development and maintenance of Python services in production
• Strong experience with AWS and Kubernetes
• Solid proficiency in working with relational databases (PostgreSQL) and messaging systems (e.g. RabbitMQ, NATS, Kafka)
• An experienced on-call SRE engineer 
• Enjoy hands-on troubleshooting of distributed systems in production environments
• You act like an owner and strive to do work you're proud of
• You enjoy communication and knowledge sharing on all-things reliability
• Proficiency in English, both written and spoken

Company Overview: 

PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.  For more information, please visit https://www.pandadoc.com.

Company Culture: 

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. 

Check out our LinkedIn to learn more.

Benefits:

• Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
• We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters).
• Work schedule aligned with EU time zones.
• Honest, open culture that values constructive feedback.
• Professional and personal development within a collaborative, supportive team.
• Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

EXTERNAL RECRUITERS

Approval Requirement

The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.

The DBA team manages database availability, security, and performance, ensuring data integrity and efficient access. They handle backups and user permissions while providing proactive support.

RESPONSIBILITIES

• Design and maintain database systems, ensuring high availability and reliability tailored to each end user’s role 
• Implement databases aligned with specific user information needs and operational requirements 
• Define user permissions and facilitate precise data distribution, ensuring timely and accurate access 
• Leverage high-speed transaction recovery techniques and establish regular data backups to ensure data integrity 
• Minimize database downtime, tuning parameters to maximize query performance and responsiveness 
• Provide both proactive and reactive data management support to ensure uninterrupted operations 
• Develop, enforce, and document comprehensive database policies, procedures, and standards 
• Conduct regular tests and evaluations to safeguard data security, privacy, and integrity 
• Monitor database performance, apply updates, and implement patches to maintain optimal operation 

REQUIREMENTS

• Experience: Proven background in database administration, IT, database architecture, or a related field 
• Technical Skills: Hands-on experience with database standards and end-user applications 
• Data Integrity & Security: Strong knowledge of data backup, recovery, security, and integrity protocols for SQL or NoSQL engines 
• System Proficiency: Experience with GNU/Linux server environments 
• Database Design: Familiarity with database design principles and documentation practices 
• Programming Knowledge: Basic familiarity with programming languages 
• Problem Solving: Strong analytical skills with a capacity to approach challenges algorithmically 
• Education: BS degree in a computer discipline or a relevant certification 

NICE TO HAVE

• Expertise with MySQL and PostgreSQL
• Familiarity with cloud technologies like GCP and AWS
• Experience with version control systems such as GitHub and Bitbucket

The DBA team manages database availability, security, and performance, ensuring data integrity and efficient access. They handle backups and user permissions while providing proactive support. 

RESPONSIBILITIES  

• Develop and maintain database systems to ensure high availability and tailored performance for each user’s unique needs 
• Design databases that effectively address end-user information requirements 
• Manage user permissions and facilitate precise data distribution to ensure the right data reaches the right people, in the right format, at the right time 
• Utilize high-speed transaction recovery and robust backup procedures to safeguard data 
• Proactively reduce database downtime and fine-tune parameters for optimal query performance 
• Provide both proactive and responsive support for seamless data management
• Define, uphold, and document database policies, procedures, and best practices 
• Conduct regular tests and evaluations to uphold data security, privacy, and integrity 
• Monitor database performance continuously, making necessary changes and applying new patches and updates when needed 

REQUIREMENTS 

• Demonstrated experience in database administration, IT, database architecture, or a similar field 
• Expertise in PostgreSQL 
• Practical experience with database standards and end-user applications 
• Strong knowledge of data backup, recovery, security, integrity, and SQL or NoSQL engines 
• Familiarity with GNU/Linux server environments 
• Skilled in database design and documentation 
• Previous experience using DBA case tools (both frontend and backend) and third-party tools 
• Background in replication and load balancing technologies 
• Basic familiarity with programming languages 
• Excellent problem-solving skills and the ability to think algorithmically 
• BS degree in computer science or a related field, or relevant certification 

NICE TO HAVE 

• Proficiency in MySQL 
• Knowledge of cloud platforms like GCP and AWS 
• Familiarity with version control systems, including GitHub, Bitbucket, etc.