All active Azure roles based in Ukraine.
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Our client is a global leader in advanced energy storage solutions, specializing in the design and manufacturing of automotive batteries. Headquartered in Milwaukee, Wisconsin, the company serves major automakers and aftermarket retailers, producing over 150 million batteries annually and powering 1 in 3 vehicles worldwide. With operations in more than 50 countries, the company focuses on innovative and sustainable battery technologies for conventional, hybrid, and electric vehicles, supporting the evolving mobility ecosystem.
The project focuses on consolidating existing SMS and email prototypes into a single production-ready solution with a user interface for scheduling, configuration, monitoring, and logging. The solution is being built using Power Apps within the company’s environment, with integrations to Snowflake and existing Python and SQL logic.
The global benefits package includes:
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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.
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.
The global benefits package includes:
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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.
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.
The global benefits package includes:
Ready to apply?
Apply to Coherent Solutions
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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.
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.
The global benefits package includes:
Ready to apply?
Apply to Coherent Solutions
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Our client is a leading life insurance company, part of a global financial services group. The company provides a range of financial products, including annuities and life insurance, delivered through a large nationwide network of agents.
The project focuses on ensuring quality and reliability of systems within the financial domain, including validation of business-critical workflows and data processing.
The global benefits package includes:
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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.
The global benefits package includes:
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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.
The global benefits package includes:
Sep 25, 2025 12:50
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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.
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:
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.
What would make you stand out
*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
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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:
What success looks like (after 6 months):
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
Ready to apply?
Apply to Cast AI
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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.
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.
*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
Ready to apply?
Apply to Cast AI
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
An Ideal Candidate Should Have
What We Offer
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.
Ready to apply?
Apply to Speechify
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
An Ideal Candidate Should Have
What We Offer
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.
Ready to apply?
Apply to Speechify
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
We are looking for a Senior Python + AI Engineer, to join the existing backend team.
You will thrive in this role if you are:
To be considered for this role, you must meet the following essential qualifications:
Backend & API Engineering
Generative AI & Agentic Systems
Development Tools & Observability
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
This is a Full time position based in Ukraine.
Beyond a competitive compensation package, we offer:
Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.
⚠️ Beware of recruitment fraud!
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.
At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create what’s next? Join us.
Ready to apply?
Apply to Valtech
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
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
To see more roles, click here.
Ready to apply?
Apply to Amdaris
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
An Ideal Candidate Should Have
What We Offer
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.
Ready to apply?
Apply to Speechify
About the Role
The Accounts Receivable Specialist supports day‑to‑day AR operations, including accurate invoicing, timely payment application, and follow‑up on outstanding balances. This role works closely with internal teams and customers and supports software maintenance license renewals and subscription‑based billing models.
Responsibilities
Value‑Added Experience & Expertise
At Enavate, we are more than just a Microsoft Gold Partner—we’re a trusted partner in Enterprise Resource Planning (ERP) consulting, Cloud services, and managed services. We help businesses embrace the future by guiding them through ERP implementations, migrations to the cloud, and integrations that streamline their operations, allowing them to thrive in an ever-evolving business landscape.
Our work isn’t just about technology—it’s about transforming the way businesses operate, empowering them to grow, innovate, and succeed. By partnering with our clients, we provide peace of mind, enabling them to focus on what matters most while we handle the complexity of their systems and processes.
To learn more about what we do and how we make an impact, please check out our "What We Do?" 1-pager.
Whether you’re joining us in North America, Europe, or beyond, Enavate offers a dynamic and collaborative environment where you’ll have the opportunity to make a real impact.
At Enavate, we’re driven by our core values, and our people are at the heart of everything we do:
We believe that a diverse and inclusive team leads to better innovation and outcomes. We actively support diversity and inclusion through a variety of initiatives, creating a workplace where everyone is respected and valued.
To gain a deeper understanding of our values and the environment we foster at Enavate, take a look at our "Enavate Culture" Guide.
At Enavate, we’re committed to providing a supportive and rewarding environment that empowers you to thrive both professionally and personally. Here’s a glimpse of the benefits and perks you’ll enjoy as part of our team:
For more details about the benefits available in your region, check out the following links:
At Enavate, we embrace flexibility in how we work, but we also believe that collaboration is key to our success. Our office locations in Tampa, FL, Fargo, ND, and Kyiv, Ukraine are central to our culture and provide a hub for team interaction and innovation.
All North American new hires are onboarded in person at our Tampa office. Onboarding typically lasts 3 days, depending on the role, and provides a dedicated opportunity to connect with your leader, teammates, and our company culture.
At Enavate, we take a thoughtful approach to hiring that ensures a great fit for both you and us. Our process includes:
We aim to provide you with a clear understanding of your fit with Enavate, and we want to ensure you feel confident in your decision to join us.
Enavate is an Equal Opportunity employer. This commitment applies to all candidates and employees regardless of race, ethnicity, citizenship, creed, place of origin, religion, sex, gender identity, gender expression, sexual orientation, family status, marital status, disability, age, and any other protected characteristic. Accommodation requests can be made at any stage of the recruitment process, and during employment by contacting our Talent Acquisition team.
At Enavate, we believe in transforming businesses and the lives they touch – because to us, it’s personal. If you're ready to make an impact, we invite you to be part of a team that listens, challenges, collaborates, and takes action. Together, we’re reshaping the future of ERP and how businesses operate, offering fresh perspectives and innovative solutions.
Are you ready to transform your career and help us shape the future? Enavate is the place for you.
Ready to apply?
Apply to Enavate
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
Requirements
Nice to Have
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.
Ready to apply?
Apply to 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 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
About You
Nice to Have
OUR BENEFITS:
Ready to apply?
Apply to Sisense
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
About You
Nice to Have
OUR BENEFITS:
Ready to apply?
Apply to Sisense
Share this job
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
Requirements
Nice to Have
OUR BENEFITS:
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We are looking for an experienced Delivery Manager. As a Delivery Manager you will have technical leaders working for you so knowing technologies is expected, ability to dive into and have pertinent technical conversations, with the ability to ascertain the competence of the engineers that work for you with these technologies. Additionally, it will be the responsibility of the Delivery Manager, in collaboration with the Client and the relevant Technical leads to ensure that appropriate and timely technical strategic decisions are made and product/solution delivered as expected.
Tech stack: AWS, Azure, Snowflake; Angular/React, .Net/Java, Python.
Strong plus: experience with AI-enabled projects.
Our value to you:
If you feel like you’re the perfect match for this role, drop us your CV!
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.
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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.
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.
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.
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.
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