Development & Engineering

Development & Engineering

​Glocomms: Development & Engineering recruitment

The realm of Development & Engineering is brimming with thrilling possibilities, offering abundant opportunities for both job seekers and businesses seeking to hire. As technology continues to advance, the demand for skilled engineers and developers is ever-increasing, promising a bright future for all involved.

At Glocomms, our expertise lies in connecting businesses with top-tier development and engineering talent, available for both permanent and freelance roles. Our experienced consultants possess an in-depth understanding of the tech engineering industry, ensuring we can identify the perfect candidate to fulfill your specific needs. Whether you require a permanent employee proficient in software development, data engineering, or infrastructure engineering, or a skilled freelancer for a short-term project, we guarantee a swift and efficient match.

We take pride in spearheading the development & engineering recruitment process, contributing to a progressively brighter future for this industry. With our dedicated team of professionals, we provide unwavering support in finding the perfect job or candidate to unlock the boundless potential of Development & Engineering.

Partner with us and embrace the future of Development & Engineering with confidence.

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Benefits of working with us

Our Development & Engineering recruitment specialists support growing technology businesses source the right go-to-market strategy talent, manage the recruitment process and facilitate onboarding. With multi-lingual language support, we provide international recruitment expertise to secure business-critical talent across Europe.

Our recruitment benefits

Experience

We have a decade’s worth of experience as a leading talent partner in Technology.

Network

A vast, global network of the best, in-demandDevelopment & Engineeringtalent.

Knowledge

Our award-winning talent specialists offer bespoke, tailored guidance on the latest hiring trends.

. Whether you seek swift placement for pivotal roles or aspire for strategic talent acquisition solutions, our arsenal of resources and proficiency ensures successful outcomes.Share your vacancy with us today.

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Development & Engineering Jobs

Software Engineer

Glocomms is partnered with an innovative company that is revolutionizing the government contracting industry. We're actively seeking a highly skilled Senior Software Engineer with expertise in artificial intelligence and language learning models (AI/LLMs) to join their New York-based start-up tech team. This permanent role offers ambitious developers the opportunity to not only enhance their skill set but also contribute significantly toward streamlining federal proposal responses. Responsibilities: Incorporation of advanced AI-driven features into our software solutions, with a particular emphasis on leveraging LLMs to streamline the rapid creation of RFP responses. Delivering executional excellence by providing scalable solutions that enhance the customer experience, including optimizing current features and building new functions from the ground up. Qualifications: A solid foundation with over three years' worth of professional software engineering practice Proficiency across various platforms including AWS Government Cloud or Azure Government Cloud would stand out as valuable assets Proficiency in FastAPI, Python, React, Typescript, Next.js, and Kubernetes.

US$120000 - US$150000 per year
New York
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OpenStack Engineer

Job Title: Expert OpenStack Engineer Location: Madrid Industry: Banking Sector Project Duration: 12-month contract (extendable) Total Project Length: 3 years Remote work: 2 days on-site per week About the company Our client is a global leader in corporate and investment banking, operating in over 70 countries. They provide tailored financing, advisory, and capital market solutions to corporations, financial institutions, and investors. Committed to innovation and sustainability, the company drives green financing initiatives while fostering a collaborative, forward-thinking culture. Job description We are seeking three Expert OpenStack Engineers to join our team for a dynamic, long-term project. This is a unique opportunity to work on cutting-edge technologies within a global IT and cloud provider environment. One role will be based in Paris, and two roles will be based in Madrid, with a hybrid work model of 2 days onsite and 3 days remote per week. Responsibilities Infrastructure Management: Manage, optimise, and ensure the reliability of OpenStack Canonical infrastructures. Automation & Orchestration: Develop and maintain innovative scripts using Ansible, Python, and other tools to automate workflows and system operations. Inventory Oversight: Create and maintain accurate and efficient CNDB inventories, ensuring alignment with project needs. Monitoring: Implement and manage monitoring tools such as Prometheus to maintain system health and performance. Collaboration: Work closely with global teams across New York, Singapore, and Bangalore, ensuring smooth operations and consistent integration. Production Excellence: Participate in production tasks, actively troubleshoot, and improve processes to deliver top-tier system performance. Required Skills and Qualifications: Extensive experience with OpenStack Canonical. Advanced proficiency in Ansible, Python, and automation tools. Strong ability to develop and manage CNDB inventories. Expertise in monitoring systems, particularly Prometheus. Deep knowledge of regex and one-liner scripting techniques. Proven track record in system engineering and infrastructure optimisation. Previous exposure to international teams and environments is a plus. Soft Skills: A proactive mindset with the ability to identify and address issues creatively and effectively. Strong team player, adaptable to collaborate across various teams and time zones. Meticulous attention to detail and commitment to quality. Language: Proficiency in English is required. Knowledge of French is a plus but not mandatory.

Negotiable
Madrid
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Sr/Mid-Level Full Stack Software Engineer

**Sr/Mid-Level Full Stack Software Engineer - AI Insurtech Pioneer** Are you an innovative software engineer seeking to propel your career in a dynamic startup environment? We are on the hunt for experienced full-stack engineers passionate about leveraging technology to transform the insurance tech landscape. Join us and contribute your expertise in Java, Spring Boot, Angular, TypeScript - and if you've worked with Guidewire solutions before, even better! Responsibilities: - Collaborate across functions to design and develop impactful features - Construct robust services using Java & Spring frameworks - Create responsive UIs employing Angular & TypeScript - Integrate with Guidewire Cloud platform enhancing our architecture - Craft secure APIs ensuring seamless backend-to-front-end communication - Utilize AWS cloud services for application build-out and maintenance Key Skills Required: * **Java Proficiency:** Demonstrate strong experience crafting back-end systems. * **Spring Framework Expertise:** Show solid skills within various spring modules like Spring MVC or Spring Boot. * **Frontend Development:** Experience creating front ends with modern JavaScript frameworks - Angular knowledge preferred. * **Guidewire Exposure** Previous work integrating applications into Guidewire platforms will set applicants apart. Qualifications: - At least 5 years of full-stack experience - Frontend technologies such as Typescript/Angular - Proficiency with Java/Spring framework - Experience building and deploying on AWS platforms - Exposure to Guidewire Software and Gosu language - Built GraphQL APIs - Bonus points for CI/CD pipeline experience! Joining Our Team Means: Embarking on challenging projects where innovation isn't just encouraged - it's expected! You'll be part of a forward-thinking collective dedicated not only to growth but also pushing each other towards greater technical heights - all while making strides toward optimizing claim outcomes through augmented intelligence. Ready To Innovate? We welcome visionary engineers ready to put their mark on something transformative. If this mission excites you - apply now!

US$130000 - US$170000 per year
United States of America
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ML engineer | Large Scale AI Infrastructure

This position will sit within a company that is pioneering a new era of Biomedicine! Role Overview: GPU Cluster Management: Architect, deploy, and sustain high-performance GPU clusters, ensuring they are stable, reliable, and scalable. Oversee and manage cluster resources to maximize efficiency and utilization. Distributed/Parallel Training: Apply distributed computing techniques to facilitate parallel training of extensive deep learning models across multiple GPUs and nodes. Optimize data distribution and synchronization for faster convergence and reduced training times. Performance Optimization: Enhance GPU clusters and deep learning frameworks to achieve peak performance for specific workloads. Identify and resolve performance bottlenecks through profiling and system analysis. Deep Learning Framework Integration: Work closely with data scientists and machine learning engineers to incorporate distributed training capabilities into the company's model development and deployment frameworks. Scalability and Resource Management: Ensure GPU clusters can scale effectively to meet growing computational demands. Develop strategies for resource management to prioritize and allocate computing resources based on project needs. Troubleshooting and Support: Diagnose and resolve issues related to GPU clusters, distributed training, and performance anomalies. Provide technical support to users and efficiently resolve technical challenges. Documentation: Develop and maintain documentation on GPU cluster configuration, distributed training workflows, and best practices to facilitate knowledge sharing and smooth onboarding of new team members. Qualifications: Master's or Ph.D. in computer science or a related field, with a focus on High-Performance Computing, Distributed Systems, or Deep Learning. Over 2 years of proven experience in managing GPU clusters, including installation, configuration, and optimization. Strong expertise in distributed deep learning and parallel training techniques. Proficiency in popular deep learning frameworks such as PyTorch, Megatron-LM, and DeepSpeed. Programming skills in Python and experience with GPU-accelerated libraries (e.g., CUDA, cuDNN). Knowledge of performance profiling and optimization tools for HPC and deep learning. Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes). Solid background in distributed systems, cloud computing (AWS, GCP), and containerization (Docker, Kubernetes). Currently or previously holding a Staff or equivalent title | Currently sitting within a Senior leveled title for 3+ years Does this capture what you were looking for?

US$250000.00 - US$350000.00 per year
Palo Alto
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Staff Machine Learning Engineer (Fully Remote)

Our client is seeking an experienced Staff Machine Learning Engineer. In this role, you will work on the development and optimization of machine learning models, with a particular focus on Knowledge Graphs, Graph Databases, and the integration of Large Language Models (LLMs). You will contribute to building next-generation systems that empower our data-driven products, collaborating with cross-functional teams to deliver impactful solutions. Key Responsibilities: Lead the design, implementation, and optimization of machine learning models using graph-based approaches, with a focus on Knowledge Graphs and Graph Databases. Develop and apply advanced techniques in Natural Language Processing (NLP) and Large Language Models (LLMs) to enhance data-driven applications and decision-making processes. Collaborate with data engineers and software developers to integrate machine learning models into production systems, ensuring scalability and efficiency. Utilize graph theory and algorithms to solve complex problems in data representation, classification, recommendation, and reasoning. Conduct research and stay up-to-date on emerging technologies in machine learning, knowledge graphs, and language models to continuously improve the team's capabilities. Mentor junior engineers and provide technical leadership, fostering a collaborative and innovative engineering culture. Required Qualifications: Master's or Ph.D. in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience. 5+ years of professional experience in machine learning, data science, or a related field, with a focus on graph technologies and large-scale systems. Strong expertise in Knowledge Graphs, Graph Databases (e.g., Neo4j, Amazon Neptune, etc.), and related algorithms. Hands-on experience with Large Language Models (LLMs) such as GPT, BERT, or similar, and applying them to real-world problems. Proficiency in programming languages such as Python, Java, or Scala, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of distributed computing and data processing systems (e.g., Spark, Hadoop, Kubernetes). Excellent problem-solving, analytical, and debugging skills. Strong communication skills and the ability to work collaboratively in a fast-paced, team-oriented environment. Preferred Qualifications: Experience with deploying machine learning models into production environments, including cloud platforms such as AWS, Azure, or GCP. Familiarity with additional graph-based technologies, such as GraphQL or SPARQL. Research experience in NLP, graph theory, or other advanced machine learning techniques.

US$230000 - US$290000 per year
United States of America
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Salesforce FSL Consultant

We're seeking a skilled Salesforce Field Service Developer to join our dynamic team. In this role, you'll leverage your expertise in Salesforce Field Service Lightning (FSL) to design, implement, and optimize tailored industry-specific solutions. You'll work closely with cross-functional teams to deliver scalable, high-performing Salesforce solutions that meet business needs. Key Responsibilities: Develop and customize Salesforce Field Service Lightning solutions Collaborate with stakeholders to gather requirements. Integrate Salesforce with external systems and optimize platform performance. Ensure code quality, best practices, and adherence to Salesforce development standards. Provide technical support and contribute to continuous improvement initiatives. Qualifications: 2+ Previous Salesforce FSL implementation projects English (Italian preffered) Strong APEX development Skills Salesforce Integration utilising API's, REST/SOAP Salesforce Admin + Platform Developer 1 Cert. (FSL certification, nice to have) Previous Manufacturing project experience (nice to have)

Negotiable
Italy
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GCP Cloud Engineer

Job Overview: We are seeking a skilled Cloud Engineer for a 12-month contract (with potential for extension) to support our clients migration to Google Cloud Platform (GCP). You will work closely with development, infrastructure, and security teams to lead the transition from on-premise systems to GCP while ensuring compliance, security, and operational efficiency.

Negotiable
Nederland
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Senior Java Fullstack Developer (m/w/d)

Für meinen Kunden in der Nähe von Hannover suche ich aktuell einen Senior Fullstack Entwickler (m/w/d) mit Fokus auf Java. Hier sind deine Aufgaben: Entwicklung von cloudbasierten und serviceorientierten Lösungen. Einsatz zahlreicher Frameworks zur Unterstützung bei der Entwicklung und Integration von Softwarekomponenten in bestehende Architekturkonzepte. Mitarbeit in einem funktionsübergreifenden Team bei der kontinuierlichen Optimierung unserer Prozesse, Tools und Services Das bringst du mit: Mehrjährige Erfahrung als Softwareentwicklung mit Java Neben Java, Erfahrung mit Spring Boot, Angular und Cloud-Entwicklung Darüber hinaus überzeugen Sie durch Ihre Fähigkeit, klar und zielgruppengerecht zu kommunizieren, sowie durch Ihre offene und hilfsbereite Persönlichkeit. Verhandlungssichere Deutschkenntnisse sowie sehr gute Englischkenntnisse Wenn du auf der Suche nach einem neuen Job bist oder Fragen zu dieser Stelle hast, schick mir einfach eine Nachricht und wir führen gerne ein kurzes Gespräch!

Negotiable
Region Hannover
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Engineering Manager - Machine Learning

Engineering Manager - Machine Learning Are you a passionate leader in the field of machine learning, ready to drive innovation and lead a dynamic team? We are seeking an Engineering Manager specializing in Machine Learning Models to join our tech-forward company located at the heart of technology's future developments - Culver City. This permanent position offers an opportunity for growth while working with some of the brightest minds shaping tomorrow's technologies. In this role, your mission will be: - To oversee and guide all stages of advanced machine learning model development. - Manage cross-functional teams ensuring project timelines are met without compromising on quality or innovation. - Drive strategic planning and execution within machine-learning initiatives aligning them with broader business goals. - Have a solid algorithm foundation and rich experience in computer vision or NLP-related tasks - Be proficient with AIGC algorithms, able to develop AIGC models at scale from inception to business impact. Skills required include * Technology Leadership: Direct cutting-edge projects that set industry standards; ability to inspire creativity among team members is essential. * Machine Learning Expertise: Deep understanding necessary to create models that can learn from vast data sets improving over time autonomously-experience building scalable ML systems is key. * Communication Skills: Clearly communicate complex technical concepts across different levels including stakeholders outside engineering departments contributing towards coherent strategy implementation throughout divisions. * Candidates should bring their passion for problem-solving using advanced computational techniques as well as their experience leading talented engineers creating breakthrough products powered by AI. Join us if you're excited about propelling progress through transformational leadership! Minimum Qualifications Bachelor's degree or above, majoring in Computer Science, Computer Engineering, Electrical Engineering, or other related fields, with more than 5 years of experience in algorithm research and development, and more than 1 year of experience in team management.

US$224000.00 - US$415000.00 per year
San Jose
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Senior Software Engineer

This is a FULLY REMOTE Senior Software Engineer Opportunity with a Series-C California-Based AI Startup. This is a chance to get in early with a rapidly growing Silicon Valley company, and to participate in developing the next generation of truly game-changing products in the Insurance Industry. We are a leader in providing the most technologically advanced solutions in the insurance industry, dedicated to expanding the horizons of what is possible. Our mission is to drive the best claims outcomes for both insurers and the insured using innovative machine learning, including deep learning and natural language processing. Our models provide key insights and predictions that guide the claims adjuster in making optimal decisions at every step of the claim process. We are looking for a senior software engineer who will be responsible for the design and development of complex, robust, applications supporting cutting edge Artificial Intelligence software applications. Responsibilities You'll work closely with fellow engineers, product managers, data scientists and designers to define, refine and implement features. Our products are all about using data and predictive analytics to solve hard problems for our users You'll work across the stack. You'll collaborate with fellow engineers to build frameworks and tools, define standards, and improve overall efficiency and hygiene of the codebase Design and architect new product features, champion the use of cutting edge technologies and tools Work on a bi-weekly sprint schedule in a fast-paced startup environment. Participate in and contribute to scrum meetings i.e. daily stand-up, sprint planning, and retrospectives Qualifications Candidates with 5+ years' experience in software engineering, building large scale systems Ability to translate data needs into detailed functional and technical designs for development, testing and implementation Deep understanding of cloud-based computing and services and their trade-offs Ability to identify and communicate risks and issues affecting business rules, functional requirements, and specifications Technical leadership experience is helpful Experience with Software Development Lifecycles Experience with the following software/tools is highly desired Highly proficient with Python & AWS SQL and NoSQL databases like MySQL, DynamoDB, Elasticsearch AWS Cloud service: RDS, AWS Lambda, S3 etc (any equivalent cloud vendor will suffice) Experience working with cross-functional teams in a fast-paced environment Work Style: Fully Remote Work in EST hours Pay: $150k base, 10% bonus We have small, close-knit teams and rely on our engineers to work directly with product and design to ship features. We value people that take ownership and get things done, and have some fun along the way. We're building something big and important - come join us!

Up to US$150000 per year + 10% bonus
Santa Monica
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Software Engineer

Role: Software Engineer Location: NYC (onsite, 5 days in office) Tech Stack: Python, JavaScript/TypeScript, React, SQL, AWS Compensation: $125,000-150,000 Base + Annual bonus + Equity Currently working with an exciting Series A startup in the healthtech space! They are building an AI-based platform using greenfield methods to improve patient outcomes and reduce risk. This is a unique opportunity to maintain strong ownership of your work and contribute to the forefront of medical technology in the country's biggest medical hotspot! Responsibilities: Writing clean, high-quality, high-performance, maintainable code Develop and support software including applications, database integration, interfaces, and new functionality enhancements Coordinate cross-functionally to insure project meets business objectives and compliance standards Support test and deployment of new products and features Participate in code reviews Qualifications: Bachelor's degree in Computer Science 2+ years of relevant work experience Strong backend development experience in Python, SQL, and AWS Expertise in Object Oriented Design and Database Design Well-versed in computer science fundamentals such as data structures, algorithms, and OOP concepts Experience with Agile or Scrum software development methodologies Nice to Have: Previous early-stage startup experience Exposure to the healthtech space Experience building microservices architecture

US$120000 - US$150000 per year + Annual Bonus + Equity
New York
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Full Stack Engineer

Technical: - Python back-end experience (FastAPI, Django, and/or Flask) - Front-end experience (React/Type Script) - Full Stack experience with UX/UI - SQL experience - LLM prompting with Open AI/Claude Other qualities: - Strictly start-up experience - AI background with excitement to learn more - Accustomed to fast paced work environments - 2-3 days in person

US$125000 - US$145000 per year
San Francisco
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News & Insights

How to Avoid a Talent Exodus Post-Pandemic Image
development-engineering

How to Avoid a Talent Exodus Post-Pandemic

​​Nobody yet knows what the legacy of COVID-19 will be. HR and recruitment experts are increasingly concerned businesses which do survive this period will face a further crisis in the shape of talent acquisition and retention in ‘the new normal’.​Anxiety about the workforce is not new: a recent PWC study found 80% of CEOs are either extremely or somewhat concerned about their organisation’s ability to access skilled labour in the future. The Covid-19 pandemic exacerbates this problem in two ways: high-quality employees are more essential than ever, as businesses prepare to recover and relaunch; and the lockdown period has given many workers a new level of clarity about their work-life dynamic. The result could be a mass exodus of talent post-pandemic.For example, in a recent poll, 82% of tech professionals say they want their employer to encourage more working from home in the future. This is not necessarily bad news for employers: it is an opportunity to accelerate changes to workplace organisation which were already well underway before 2020 reared its head.From remote working and digital transformation to transparency, communication and support, there needs to be a wholesale rethinking of how successful employers treat their staff and go about their business post-pandemic. Leaders and management must demonstrate how much they value their talent, and provide real incentives for high calibre employees to stick with them. Download our full guideto learn more about the five fundamental ways to avoid a talent exodus and keep you seats filled with the best talent: 1. Consistent Communication 2. Transparency and Openness 3. Adapt and Innovate to meet Employees’ Needs 4. Provide Support and Authority 5. Foreground meaning and Plan for the Long Term​

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Working from Home is the Key to Diversity Image
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Working from Home is the Key to Diversity

​Tech companies who offer more flexible working arrangements are employers of choice; joining the ranks of tech companies like Twitter who have announced working from home will be the new norm, forever.It will come as no surprise that 82% of the tech workforce want the flexibility to work from home. It may surprise you, however, to learn that working from home can boost the participation of women, people with disabilities, and contingent workers.How can working from home boost diversity? Download this free resource to find out.

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Alleviate Video Call Fatigue With These Top 5 Tips Image
development-engineering

Alleviate Video Call Fatigue With These Top 5 Tips

​​Many of us are working in a virtual office these days. For professionals working in the technology sector, that might mean more time in front of the camera than you signed up for. Even those who usually have the verve and stamina to withstand back-to-back meetings may experience video call fatigue.Why the video call fatigue?Evolving from social animals, most human communication is non-verbal. In face-to-face conversations, we gain additional meaning from the way people act. We read each other’s hand gestures, body language, and facial expressions to pick up social cues and infer meaning. For most people, it takes little conscious effort to analyze these cues. In real life, we know if someone is fidgeting or looking away frequently that it may be time for a break. Video calling can compromise these deep-rooted skills; the video quality might be poor due to a lousy internet connection, or the person might only be partially in view so you cannot read their posture on hand gestures. Unlike real-life conversations, video calling can require sustained and intense attention to glean meaning. Predominately relying on verbal communication is tiring, according to a study conducted by Marc-Andre Reinhard and Siegfried L. Sporer, creating video call fatigue.Video calling can also force the current public health crisis into the forefront of our minds; prompting anxiety and fatigue. Gianpeiero Petriglieri, Associate Professor of Organisational Behaviour at INSEAD, argues, “The video call is our reminder of the people we have lost temporarily. It is the distress that every time you see someone online, such as your colleagues, that reminds you we should really be in the workplace together.”If you find yourself growing tired from back-to-back video calls, try one of these top 5 tips:  1. Reduce the number of faces A conference call can magnify existing issues with video calling. Commonly used video conferencing software can allow tens to hundreds of people to simultaneously share their video. This forces the central vision of the brain to decipher so many people at once that it can be difficult to concentrate and understand the speaker. Writing in the National Geographic, Julia Sklar says that “the brain becomes overwhelmed by unfamiliar excess stimuli while being hyper-focused on searching for non-verbal cues that it can’t find.” If you are attending a presentation, ask the speaker if they can turn off everyone else’s video. For re-occurring group calls, communicate to whoever is leading the meeting that you are experiencing video call fatigue. Ask if a rule can be set that video is not required, or that callers take it in turns to turn their video on when they are speaking.  2. Create different spacesThe context of our different social roles has collapsed. Today, we meet our colleagues, partners, parents, friends and employers in the same space – our computer window. This phenomenon—known as context collapse—happens when different aspects of our lives that are normally physically detached are combined to blur separation boundaries. In turn, context collapse can have negative psychological effects and the attenuation of self-identity. This is also why video calls with friends and family can also be tiring; they become associated with work and obligation.Now more than ever, we need to find ways to create buffers between different aspects of our lives. Our environment affects our decision-making and our concentration. Research finds that a work environment activates cognitive resources and association relating to work behavior; increasing decision-making abilities and concentration. If you can, create different spaces at home for your personal and professional life – even if that just means changing ends on the kitchen table or never working from the couch. Likewise, try to avoid answering text messages from friends or family during work. Creating transition periods between video calls will also prevent fatigue. Whether doing a bit of exercise, making a drink, or stretching – try a new activity between calls to help refresh yourself. 3. Give your eyes a breakWe hardly blink when we stare at screens compared to face-to-face interactions. One study found that blinking decreases by 66% from an average of 18 blinks per minute. This can cause our eyes to get more dry, irritated and tired than normal in what is known as ‘computer vision syndrome’ or digital eye strain, which 60-90% of office workers suffer varying degrees of. Other signs to look out for are blurred vision or tensions headaches. What can do you do to combat it? Try the ’20-20-20’ rule: every 20 minutes take 20 seconds to look at something 20 feet away. If you’re not sure of distance, just try and find something that is furthest from view to focus on. It’s also recommended that you take a break from all your digital devices every two hours for 15 minutes so that your eyes can have a rest. Try to position yourself where natural light is not reflecting harshly on your screen. If that isn’t possible, ask your employer if they can provide anti-glare filters; removable panels that fit over your computer screen and help prevent glare. 4. Turn off your cameraUnlike real-life conversations, video calls force you to stare at your own face for long periods of time. For some, this can be an unwelcome distraction by causing worry about your own appearance or how you are coming across. According to media and business psychologist Charlotte Armitage, “The additional psychological processing involved in attending to one’s own behavior and actions, as mirrored by the online platform, can be draining for a whole number of reasons. At the very least, it adds an additional level of stimuli that you wouldn’t have had in a face to face meeting.”Consider switching off your video, particularly if you are in listening mode or are being presented too. Several studies show that people listen more attentively to phone calls and also experience less stress, as it more closely mirrors a real-life conversation rather than feeling they are giving a performance. If you can’t turn off your camera, consider moving your screen off to the side, instead of straight ahead. This can help you concentrate better by focusing on listening rather than watching. 5. Ask if a task really needs a meetingUltimately, the only way to prevent video call fatigue is to reduce their amount. Next time you are about to schedule a meeting, or are invited to one, ask yourself if this needs to be a video call. In fact, does this task need a meeting at all? Not all decisions require a meeting, so think whether you can move a project forwards via email, chat, or even a quick phone call. With many of us working from home, fears about productivity, belonging, or even visibility may prompt us to get in front of the camera. Save yourself and your colleagues from video fatigue by hitting pause on those calendar invites.​To learn more, download How to Ace a Virtual Interview, Being Business Critical in the New Virtual Workplace, Hiring Business-Critical Talent Through Video Interviews, or How to Virtually Onboard New Talent.

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Hiring Business Critical Talent Through Video Interview Image
development-engineering

Hiring Business Critical Talent Through Video Interview

During the Covid-19 epidemic, many of us in Germany are grappling with a new reality.However, it could be argued that during this pandemic the demand for talent in the tech space is still an integral part of business which is just requiring a change of strategy.This is an opportune moment to use technology to your advantage in your hiring process and get ahead of the competition to secure business-critical talent. As a hiring manager, using video calling as part of your recruitment process is fundamental in dealing with social distancing measures.  We’re aware that videos can be a whole new process for you, but it could also become a common practice of your workplace for the foreseeable future.  Download our guide for ways this style of interview can help improve diversity within your company, and also ways to change your interview techniques to ensure you hire the right cultural fit.

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International Women's Day 2020: An Interview with Nathalie Zetzmann Image
enterprise-solutions

International Women's Day 2020: An Interview with Nathalie Zetzmann

​​The race is on for a gender equal workforce throughout the technology sector. According to the German Federal Ministry for Economic Cooperation and Development, only 24% of IT jobs are filled by women and the sector is still heavily male-dominated in Germany. Nathalie Zetzmann, Principal Consultant Data & AI at Glocomms Berlin, discusses the unique position that recruiters play in furthering gender equality in the technology sector.The 2020 International Women’s Day theme is that an equal world is an enabled world. What does that mean to you in the IT industry?We live in a very diverse world. To master the very diverse challenges of this world, in my opinion, we need very diverse viewpoints and different perspectives. That is why everyone should have the same rights and chances to contribute to solutions for the society we live in.Is gender equality a topic that often comes up in conversations with candidates and companies?Especially in the IT industry there are way more male than female actors. Even though all companies wish for diverse teams, it is hard to find enough female candidates to make this possible in the first place. What role can recruiters play in creating an equal world?Recruiters should find out what is important for female candidates in a work environment and let the companies know so that the companies can implement it in their hiring strategy. What advice would you give to a company trying to create a diverse hiring strategy?I would give the advice to companies to listen to what candidates wish for. For example for working mums to be open to new work concepts like home office, flexible working hours or no-core-hour-concepts, so that they can schedule their day as they need to. It seems simple, but there are so many companies that are just not listening to the needs of their employees. If they did, they could win way more candidates in general and be able to have more diverse teams.Nathalie Zetzmann works as a Principal Recruitment Consultant Data & AI at Glocomms Berlin. Grown up in Bavaria, Germany, studied Environmental Engineering and Business Administration and is especially interested in female in tech, medtech and sustainabletech.. Get in touch with Nathalie to discover how to build a diverse hiring strategy.​Submit a Vacancy

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