
Simployer · Stockholm
CONNECT THE SYSTEMS & BUILD THE STANDARD. The hardest part of integrations isn't writing the code. It's making sure it holds up long after launch, and that the...
The hardest part of integrations isn't writing the code. It's making sure it holds up long after launch, and that the next
integration doesn't take as long to build.
At Simployer, our API & Integrations team builds the standard integrations that connect our platform to the external systems our
customers already use: ATS, CRM, Payroll and Time Reporting. As we expand into new markets, the goal is to continue building
standard integrations that are self-served: customers set up and manage these connections themselves, and each new integration is
faster to build and easier to reuse.
Simployer is also at the forefront of AI, and it shows in how we work day to day. We use AI development tools daily, not just as
chat assistants but built into our coding workflows, and we experiment constantly through hackathons and internal tools we build
to solve our own problems. Our team also owns Simployer's public MCP built on top of our public API, part of how integration is
expanding to include AI agents, not just traditional systems.
Build integrations that customers can set up themselves and trust to sync their data accurately across systems. Reliable enough
that they hold up as we scale, standard enough that each new connection is faster to build than the last.
You will take ownership of real integration work: building and maintaining integrations to the external systems customers depend
on, ATS, CRM, and payroll among them, and standardizing the patterns behind them so integration becomes repeatable rather than
bespoke. You will also extend the public API that partners and third-party vendors build on, helping grow the ecosystem around
Simployer's data.
You will at times work closely with other product teams at Simployer, those responsible for the Absence, Compensation, and Core
domains, along with the customer support and professional onboarding teams that help our customers succeed.
on Java and Spring Boot today, alongside inherited integrations in the Node.js ecosystem you'll help maintain, and picking up
new languages and frameworks doesn't slow you down
something you're planning to start
to an HR person who has never opened an API doc
Tech you'll be working with: Java 21+, Spring Boot, TypeScript, Node.js, Apache Camel, React, GraphQL, PostgreSQL, MongoDB,
Kubernetes, and cloud (Azure and GCP).
This is a mid/senior level role, but if you feel it's a good fit, strong integration experience carries more weight than total
years, go ahead and apply!
"Hi, I am Alisha, Engineering Manager for the API & Integrations team. I have been working with integrations at Simployer for the
past three years, and I see integrations as a crucial part of how we connect our platform with the systems our customers rely on.
What I value most about working at Simployer is the combination of ambition, expertise, and the opportunity to grow in a dynamic
environment. It is a place where you get real opportunities to grow.
I am looking for someone with a strong background in integrations who wants to take ownership of how Simployer connects with
external systems. In this role, you will build new integrations, improve the experience for our users and customers, maintain
existing solutions, and make thoughtful technical decisions along the way. We actively embrace AI tools in our development
workflow and are looking for someone who is excited to work in that way as well.
As your manager, my goal is to support your growth while giving you the autonomy to do your best work, with guidance whenever you
need it. If this sounds like the kind of work you enjoy, I would love to hear from you."
We can't wait to meet you!
About the Role Your mission is to elevate operational excellence by applying AI and automation in a practical, scalable way. You will identify inefficiencies across Finance, HR, RevOps, Legal, Compliance, and IT — and design intelligent solutions that remove friction, automate manual tasks, and improve workflows.This role combines AI, system integration, backend development, and cloud deployment. You will report to Gabriel Hobbs, VP Revenue Operations, and work cross-functionally with business stakeholders and security teams, ensuring solutions are secure, compliant, and production-ready. This role will play a central role in building Tacton’s intelligent operational backbone. What You Will Be Doing Build secure integrations between core business systems (ERP, HR, Finance, RevOps, Legal, IT) Design and orchestrate APIs and reliable data flows Identify and implement AI solutions (LLMs, copilots, agents) to reduce manual work Develop intelligent self-service and automation solutions Redesign inefficient workflows and build scalable automation frameworks Deploy secure, production-grade solutions in AWS or Azure Set up CI/CD pipelines and manage containerized services (Docker, Kubernetes) Ensure security, compliance (ISO, SOC II), monitoring, and long-term stability What We're Looking For Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related technical field Experience with system integration and REST APIs Backend development in Python (C++ is a plus) Solid database knowledge (SQL and NoSQL) Experience with automation frameworks Cloud experience (AWS or Azure) Experience working with CI/CD pipelines, Docker, Kubernetes, and modern Git-based development workflows Security-focused mindset and experience in compliance-heavy environments Hands-on experience building AI-assisted workflows Understanding of LLMs, copilots, and AI agents Ability to turn AI concepts into practical, production-ready solutions Business Understanding Strong business curiosity and understanding of operational processes Ability to connect technology to KPIs and measurable impact Ability to translate business problems into simple, pragmatic technical solutions Who Will Thrive in This Role Thinks business problem first, technology second Sees the bigger picture and understands operational impact Speaks the language of KPIs, efficiency, and scalability Is execution-driven and autonomous Is structured and pragmatic rather than theoretical Enjoys working cross-functionally with multiple stakeholders Focuses on delivering working systems — not perfect slide decks Wants to build long-term foundations, not short-term fixes You care about real impact. You want to build systems that make an organization smarter, faster, and more scalable. What to Expect During the Recruitment Process Screening call with Global Talent Acquisition Partner First interview with our Hiring Manager Personality and logical ability test Second interview & assignment Interview with senior management Reference checks Why Tacton? At Tacton, we’ve been building CPQ software for over 20 years. We are a stable company with global customers and a product that is central to how manufacturers sell. We are a global SaaS leader in CPQ (Configure, Price, Quote), empowering manufacturers to streamline complex sales processes and drive growth. Headquartered in Stockholm with offices in Chicago, Karlsruhe, and Warsaw, we’re a 220-person team on an exciting growth journey. Recognized by Gartner as a market leader, our technology helps global manufacturers solve real-world configuration challenges and stay competitive in a rapidly changing world. We offer A solid and stable company with over 20 years of industry experience Flexible hybrid setup – 3 days per week in the Stockholm office 33 days of paid time off (30 vacation days + 3 extra days) Premium occupational pension beyond ITP1 Generous wellness allowance (5,000 SEK annually) Private healthcare insurance Parental leave top-up (up to 90% of base salary for 6 months) Weekly treats — fika one week, breakfast the next This role is based in Stockholm, in our unique office next to Hötorget station. Learn more at tacton.com/about
We're building AI-native systems – and helping shape how AI transforms engineering, products and organisations. At Knowit Connectivity, AI is becoming a fundamental part of how modern systems are designed, developed and operated. We're looking for experienced engineers and architects who want to help clients move beyond experimentation and build production-grade AI solutions that create real business value. As we continue to invest in AI as a company, we're looking for people who want to combine deep technical expertise with a passion for shaping the future of AI-enabled engineering. ABOUT THE ROLE As a senior consultant, you'll work across the full lifecycle of applied AI – from strategy and architecture to implementation, deployment and continuous improvement. You will help clients understand how AI changes products, workflows and technical systems while taking a leading role in designing solutions that are scalable, observable and trustworthy. In addition to client engagements, you will be part of Knowit Connectivity's AI Advisory Team. The team plays a central role in shaping our AI strategy, developing internal capabilities, evaluating emerging technologies and helping drive our AI initiatives forward. This means your role is divided between delivering value in client assignments and helping strengthen Knowit's AI capabilities internally. You'll collaborate with other senior AI specialists, architects and business leaders to identify opportunities, establish best practices and continuously evolve how we apply AI across the organisation. Typical work includes: * Designing AI-native architectures and intelligent systems * Building and deploying LLM-based applications in production * Implementing RAG solutions across large and complex information landscapes * Designing agent-based workflows and autonomous system behaviours * Defining governance, observability and evaluation strategies for AI systems * Integrating AI capabilities into existing products, platforms and business processes * Evaluating trade-offs around performance, reliability, cost and control * Supporting clients in their AI transformation journey * Contributing to the development of Knowit's AI strategy and AI offerings WHAT WE'RE LOOKING FOR We're primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: * Building applications using LLMs * Retrieval-Augmented Generation (RAG) and vector databases * Agent frameworks and orchestration platforms * System architecture and distributed systems * Python or similar programming languages * Cloud platforms such as Azure, AWS or GCP * Evaluation, monitoring and optimisation of AI systems * Data engineering and integration of complex information sources Experience with enterprise architecture, platform engineering or large-scale software development is highly valuable. WHO YOU ARE You understand that AI is changing software engineering and system design fundamentally. You enjoy working across strategy, architecture and implementation, and you're comfortable helping clients navigate both technical and organisational challenges related to AI adoption. You are curious, pragmatic and continuously learning as the AI landscape evolves. You don't need to fit a perfect profile – we value different strengths, whether you lean more towards architecture, platform engineering or implementation. WHY JOIN US At Knowit, you'll be part of a team that helps organisations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities and turn ideas into practical applications. Whether it's defining strategy, designing architectures or building production-ready systems, you'll play a key role in helping others succeed with AI. What you can expect: * Working hands-on with clients to solve real business problems using AI * Supporting organisations at different stages of their AI maturity * Collaborating in a strong engineering culture where knowledge sharing is part of everyday work * Opportunities to influence both client solutions and how we grow our AI capabilities internally * A variety of projects and industries, giving you both breadth and depth over time * A formal development roadmap where continuous AI learning and capability building are integrated parts of your professional growth We're building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. INTERESTED? If you've already built something real with LLMs and want to help shape how AI transforms engineering, products and organisations, we'd like to hear from you.
We're building AI-native systems – and helping shape how AI transforms engineering, products and organisations. At Knowit Connectivity, AI is becoming a fundamental part of how modern systems are designed, developed and operated. We're looking for experienced engineers and architects who want to help clients move beyond experimentation and build production-grade AI solutions that create real business value. As we continue to invest in AI as a company, we're looking for people who want to combine deep technical expertise with a passion for shaping the future of AI-enabled engineering. About the role As a senior consultant, you'll work across the full lifecycle of applied AI – from strategy and architecture to implementation, deployment and continuous improvement. You will help clients understand how AI changes products, workflows and technical systems while taking a leading role in designing solutions that are scalable, observable and trustworthy. In addition to client engagements, you will be part of Knowit Connectivity's AI Advisory Team. The team plays a central role in shaping our AI strategy, developing internal capabilities, evaluating emerging technologies and helping drive our AI initiatives forward. This means your role is divided between delivering value in client assignments and helping strengthen Knowit's AI capabilities internally. You'll collaborate with other senior AI specialists, architects and business leaders to identify opportunities, establish best practices and continuously evolve how we apply AI across the organisation. Typical work includes: Designing AI-native architectures and intelligent systems Building and deploying LLM-based applications in production Implementing RAG solutions across large and complex information landscapes Designing agent-based workflows and autonomous system behaviours Defining governance, observability and evaluation strategies for AI systems Integrating AI capabilities into existing products, platforms and business processes Evaluating trade-offs around performance, reliability, cost and control Supporting clients in their AI transformation journey Contributing to the development of Knowit's AI strategy and AI offerings What we're looking for We're primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: Building applications using LLMs Retrieval-Augmented Generation (RAG) and vector databases Agent frameworks and orchestration platforms System architecture and distributed systems Python or similar programming languages Cloud platforms such as Azure, AWS or GCP Evaluation, monitoring and optimisation of AI systems Data engineering and integration of complex information sources Experience with enterprise architecture, platform engineering or large-scale software development is highly valuable. Who you are You understand that AI is changing software engineering and system design fundamentally. You enjoy working across strategy, architecture and implementation, and you're comfortable helping clients navigate both technical and organisational challenges related to AI adoption. You are curious, pragmatic and continuously learning as the AI landscape evolves. You don't need to fit a perfect profile – we value different strengths, whether you lean more towards architecture, platform engineering or implementation. Why join us At Knowit, you'll be part of a team that helps organisations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities and turn ideas into practical applications. Whether it's defining strategy, designing architectures or building production-ready systems, you'll play a key role in helping others succeed with AI. What you can expect: Working hands-on with clients to solve real business problems using AI Supporting organisations at different stages of their AI maturity Collaborating in a strong engineering culture where knowledge sharing is part of everyday work Opportunities to influence both client solutions and how we grow our AI capabilities internally A variety of projects and industries, giving you both breadth and depth over time A formal development roadmap where continuous AI learning and capability building are integrated parts of your professional growth We're building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. Interested? If you've already built something real with LLMs and want to help shape how AI transforms engineering, products and organisations, we'd like to hear from you.