As a Senior Forward Deployed Engineer (FDE) at Primer, you’ll grow your software engineering skills along with our AI and NLP technologies to help national security organizations solve some of their toughest challenges. As a technical team-member who understands customer needs and expectations, success in providing solutions will require problem solving ability, technical acumen, and the ability to see the big picture at a global level. Strong candidates will excel in both technical agility and stakeholder communication, realizing the broader impact at stake, with urgency and expertise to match.

Role Responsibilities - How You Will Make An Impact

• Engage with customers, partners, and prospects to understand their problems, scope technical requirements, prototype and propose effective solutions
• Work with cross-functional teams across Primer to satisfy the unique requirements of various national security customers and deploy our products in secure environments
• Partner with our Product Management and Engineering teams to identify and prioritize platform feature development based on customer feedback
• Dig into software source code to customize, integrate, and troubleshoot onsite customer platform deployments
• Provide subject matter expertise to advise our DevOps and Engineering teams on feature and deployment enhancements
• Optimizing applications for speed and scalability through performance analysis
• Maintaining high coding standards through the development of guidelines, active participation in code reviews, and fostering a culture of continuous improvement and knowledge sharing among your team

Relevant Skills & Experiences:

• Professional experience developing and deploying Python applications
• Hands-on experience with a major cloud services provider (AWS or Microsoft Azure)
• Linux, Docker and Kubernetes proficiency - you’ll need to know your way around a Linux shell in order to operate services, and then deploy them at scale
• Strong DevOps chops - you’ll need to be comfortable with automation tools to accelerate the deployment of infrastructure and software services in our customers’ environments
• Strong communication skills - you’ll be the technical representative of Primer to our customers

Bonus Points:

• Full-stack web and backend development skills
• Experience with natural language processing (NLP)
• Direct experience with the secure, privileged regions of AWS or Microsoft Azure
• Familiarity with identity management solutions for authentication and authorization

Final compensation will be determined based on experience and skills and may vary from the range listed above.

This position is open to candidates based in Singapore who are able to work from our Singapore office 2–3 days per week as part of a hybrid work model.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Team & Role Overview

We are seeking a highly skilled and experienced technologist to work in our Cloud Service & Tools team. This team is responsible for deploying, maintaining and supporting companywide tools available in a distributed cloud and on-premises environment. As part of the Service & Tools team, you’ll be working on tools like Gitlab, Kubernetes, as well as in house systems, and more generally on AWS administration.

Your present skillset

• Kubernetes and container knowledge (EKS, Podman, Docker)
• Developing and troubleshooting CI/CD (Gitlab CI is a plus)
• Infrastructure as code, automated configuration languages and tools such as Terraform and Ansible
• Experience of developing, monitoring and supporting distributed systems in production (tools like Cloudwatch, Coralogix or Open Telemetry are a plus)
• Understanding of Linux OS, particularly RHEL/Rocky 9
• Good understanding of core AWS services
  • VPC security and networking
  • EC2 configuration and scaling
  • Storage services S3, EFS, EBS and FSx
  • IAM
• Knowledge of administration for the following tools is a plus but is not mandatory:
  • Gitlab on premises
  • Snowflake
  • Clickhouse Cloud
• Knowledge of languages like Python, C#, Rust is appreciated
• English, spoken and written is mandatory.
• Happy to work in a fast-paced environment with multiple conflicting demands and changing priorities.
• Effective communicator, able to describe complex issues at the appropriate level for a given audience.
• Happy to coach colleagues and eager to learn from them.
• Able to work in autonomy.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

The role

We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference platform for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement customized LLM-based solution and architect scalable AI applications using our served models, and working together with our backend team to improve our platform to match the clients' needs.

You’re welcome to work remotely from Singapore.

Your responsibilities will include: 

• Design and implement LLM-based solutions using Nebius Token Factory’s inference services to drive business value and support customer goals
• Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models
• Provide technical expertise in prompt engineering, RAG architectures, model selection, and inference optimization
• Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap
• Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency

We expect you to have: 

• 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI
• Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches
• Hands-on experience with:
  • Prompt engineering and LLM pipeline development, including evaluation
  • Agentic frameworks such as Langchain, Langsmith, smolagents, or equivalent
  • Vector databases and RAG implementation patterns
  • Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models
• Strong Python programming skills
• Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences

It would be an added bonus if you have: 

• Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers)
• Familiarity with inference optimization techniques such as quantization, batching, caching, and routing
• Work with multimodal AI models (e.g., vision-language, speech)
• Proficiency with DevOps tools (Docker, Kubernetes)
• Contributions to open-source ML/AI projects

Preferred technical stack:

• Programming Languages – Python
• ML Frameworks and Libraries – vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI/Anthropic SDKs
• Frameworks for Agentic Pipelines – Langchain / Langsmith / smolagents / equivalent
• API and Web Frameworks – FastAPI, Flask
• MLOps and DevOps tools – Kubernetes (K8s), Docker, Git
• Cloud Platforms – AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)

THE ROLE

At Portworx by Everpure, our product enables stateful containers in production, and we've been recognized as a Gartner Cool Vendor. Our technology encompasses a distributed storage platform and integrated controls with container schedulers such as Kubernetes, Mesosphere, Rancher, Nomad, and Docker Swarm. Our diverse customer base ranges from Global 2000 enterprises to cloud-native startups, running workloads on-premises and in public clouds.

WHAT YOU'LL DO

This is a senior technical role within the Technical Services COE team. As a Portworx Escalation Engineer (EE), you will need to tackle the most intricate and challenging customer issues, serving as the final support tier before escalation to development. You will offer technical expertise and troubleshooting assistance to Technical Service Engineers (TSEs) to resolve our most complex cases. If an issue persists or requires a code fix, you will effectively engage and communicate with development resources to identify root cause and present findings to our TSEs and customers to ensure timely resolution with the highest quality of service. The primary aim of this role is to minimize escalations to the Development team, identify opportunities for improvement, and to prevent future escalations from occurring. 

This position is well-suited for a support professional with robust interpersonal skills, seeking a dynamic, high-performance, entrepreneurial work environment. The ideal candidate should embrace the unpredictable nature of daily work in a rapidly expanding business.

• Offer technical expertise throughout all phases of the Portworx case management process for issues encountered in the field.
• Provide initial code review and analysis of current issues. 
• Resolve escalated service requests while maintaining a high level of service engagement, communication, and composure.
• Collaborate with customers and cross functional team members to troubleshoot and resolve escalated cases. 
• Act as the conduit between Technical Services and Engineering teams. 
• Proactively identify and resolve systemic issues in the field. 
• Mentor and coach TSEs and cross functional team members. 
• Assume ownership of communications for assigned issues, ensuring clarity and professionalism.
• Share and document knowledge through FAQ/KB articles, both internal and customer-facing. 
• Manage multiple projects/support cases concurrently. 
• Participate in a weekly on-call rotation. 
• Thrive as a team player in fast-paced and startup environments.
• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

We're looking for candidates with experience in supporting SaaS environments with a background in compute infrastructure, storage infrastructure, and container ecosystems, both on-premise and in the cloud. Technical expertise with one or more cloud providers (such as AWS, GCP, or Azure) is essential. Proficiency in Portworx, Kubernetes, Docker, Tanzu, VMware container solutions (CKA certification is required). Experience with one or more devops tools like Ansible, Chef, Puppet, Terraform is required. 

Your experience in a senior-level customer-facing role, providing various levels of technical guidance, will be pivotal. Furthermore, your ability to communicate effectively and work closely with our Product Development team for customer escalations will greatly contribute to the success of this role. You will be expected to resolve customer problems and escalations using appropriate resources.

• Bachelor's degree in Computer Science (Master's preferred) or a minimum of 8+ years of experience in customer-facing technical support work. 
• Experience in supporting SaaS products, with working knowledge of Portworx. 
• Demonstrated working experience supporting vSphere, Kubernetes, Containers, and Public Cloud platforms.
• Strong written, verbal, and collaboration skills.
• Strong understanding of GoLang.
• Minimum of 2 years experience in supporting production applications either on premises or in a cloud environment.

#LI-ONSITE

The Role:

As a Senior Solutions Engineer, you will be a key driver of Neo4j’s growth by articulating business value, shaping solutions that address customer needs, and accelerating adoption within enterprises. You will engage in deep technical and business discovery, support the sales process through value-based selling, and collaborate with key partners, including hyperscalers (AWS, Azure, GCP) and strategic ISVs to drive joint go-to-market (GTM) initiatives, with opportunities to support customers and partners across APAC markets, including Korea (Korean language proficiency is a plus)

Responsibilities:

Sales Process & Customer Engagement:

• Lead technical discovery to understand customer challenges, pain points, and success criteria, ensuring solutions align with business objectives.
• Drive value-based selling, clearly articulating Neo4j’s unique differentiators and ROI to both technical and business stakeholders.
• Own the pre-sales engagement, delivering impactful presentations, live demonstrations, and competitive positioning.
• Map customer requirements to relevant Neo4j product capabilities, using whiteboarding, workshops, and tailored solution architectures.
• Develop proof-of-value (PoV) demonstrations and prototypes that showcase tangible business outcomes.
• Work closely with the sales team to support deal qualification, opportunity progression, and conversion strategies.
• Ensure smooth handoff to Professional Services, providing knowledge transfer to consulting teams and industry partners for successful implementation.

Partner & Ecosystem Collaboration:

• Work closely with key partners, including hyperscalers (AWS, Azure, GCP), ISVs, and system integrators, to drive joint solutions and co-sell initiatives.
• Develop and deliver enablement programs for Neo4j’s strategic partners, ensuring they have the technical skills and sales acumen to position Neo4j effectively.
• Collaborate on GTM strategies, helping design solutions that leverage hyperscaler services (e.g., AWS Neptune, Azure Cosmos DB, Google BigQuery) in combination with Neo4j to meet customer needs.
• Engage with partner sales and technical teams to drive adoption, influence deal cycles, and execute joint marketing initiatives.

Community & Thought Leadership:

• Support local marketing events, user groups, and Neo4j Community initiatives.
• Contribute to Neo4j’s thought leadership, delivering webinars, writing technical blogs, and speaking at industry conferences.

Relevant Skills and Experience:

• Deep expertise in value selling, with a strong understanding of the sales process and how to align solutions with customer business goals.
• Experience in technical discovery, consultative solutioning, and mapping customer needs to technology capabilities.
• Graph database expertise (Neo4j, OrientDB, JanusGraph, etc.), along with knowledge of relational/NoSQL databases, analytics, and data integration.
• Strong experience working with hyperscalers (AWS, Azure, GCP), including understanding of their data services and GTM strategies.
• Proficiency in Java, Python, JavaScript, Docker, Kubernetes, and cloud infrastructure technologies.
• Knowledge of data visualization tools (D3.js, Sigma.js, Linkurious, etc.).
• Excellent presentation and communication skills, capable of engaging technical teams, C-level executives, and partner organizations.
• Ability to work in fast-paced, sales-driven environments, managing multiple customer and partner engagements.
• Industry experience in Financial Services, Retail, Government, Security, or Telecommunications is a plus.
• Korean language proficiency is a plus, particularly for supporting customers and partners in the Korea market

Qualifications:

• 7+ years of pre-sales, professional services, or customer-facing technical experience.
• Bachelor’s or Master’s degree in a relevant field.
• Experience working with partners, including hyperscalers, ISVs, and system integrators.
• Ability to work independently in a cross-functional, global organization.
• Willingness to travel as needed for customer and partner engagements.

Datadog’s Implementation Services team helps customers implement and deploy Datadog quickly. Our team of architects leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a member of our team, you will be responsible for developing the technical roadmap for a customer’s implementation, and leading them through it every step of the way.   

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Design and guide execution of Datadog implementations, including gathering requirements, building technical architecture, and supporting deployment and launch
• Guide customer onboarding through co-development working sessions and assist when they run into roadblocks
• Write automation and design architecture for deployment templates 
• Manage the operation of implementation projects 
• Collaborate with other teams, including Customer Success, Technical Account Management, and Sales to deliver an exceptional onboarding experience

Who You Are:

• Experience designing and delivering technical solutions for DevOps Monitoring or architecture systems
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and compute technologies (EC2, serverless, VMware, VMs, Docker, Kubernetes).
• Experience with Config Management, IAC and CI/CD tools, including Ansible, Puppet, Terraform, Chef, Jenkins, Circle CI, GitHub Actions, Azure Pipelines, etc…
• Experience programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc
• Successful track record with 5+ years experience as an Architect or Consultant in a professional services team
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Trading Systems Engineer you’ll collaborate with trading, infrastructure, and software development teams, working closely with exchanges, traders, and developers to support ongoing improvements and keep our trading technology performing at its best.

As markets evolve toward 24×7 trading, we’re expanding coverage to ensure our systems run smoothly during high impact periods that extend beyond the traditional Monday–Friday schedule. In this role, you’ll have the opportunity to work a non-traditional 5-day shift, depending on what best fits your schedule, for example Tuesday to Saturday, including Saturday working. This flexible coverage model allows you to make a critical impact during peak trading hours while enjoying off days during quieter parts of the week. 

What You’ll Be Working On:

• Keeping trading systems healthy and available by proactively spotting and resolving potential issues
• Responding to trader and engineer requests with both urgency and understanding of the bigger operational context
• Participating in the onboarding of new desks and systems, thinking ahead about how they’ll fit into the broader ecosystem
• Learning the trading environment deeply so you can anticipate challenges and suggest improvements

 What we Value:

• Intent over Instruction: we’ll share what we’re trying to achieve; you’ll help determine the best way to get there
• Responsibility and trustworthiness: you follow through and communicate progress and results clearly
• Continuous learning and adaptability: when conditions change, you adjust while keeping the mission in mind
• Collaboration: you seek input when needed but are comfortable making informed decisions yourself

About You:

• You enjoy diagnosing problems and thinking creatively about solutions
• You’re excited about fast-moving environments and want to see your work make an impact quickly
• You learn by doing and feel comfortable diving into unfamiliar technology

Qualifications & Skills:

• 2+ years of experience in trade support, site reliability engineering, or a related technical role
• Bachelor’s degree in computer science, engineering, or related STEM field
• Experience with maintaining and troubleshooting complex distributed systems
• Demonstrated knowledge of network communications, including use of multicast networking
• Exposure to containerized applications (e.g., Docker, Kubernetes) is a plus
• Experience with incident response and root cause analysis
• Ability to coordinate multiple priorities under time pressure
• Excellent written and verbal stakeholder communication skills
• Familiarity with programming languages (e.g., Python, Go, Bash, PowerShell) for basic automation tasks
• Competence in a broad range of technologies, spanning cloud platforms, containerization, monitoring/alerting systems, and distributed messaging platforms (e.g., AWS, Kubernetes, Docker, Splunk, Prometheus, Grafana, RabbitMQ)
• Experience with Linux/Unix environments
• Prior experience supporting electronic trading systems preferred.

Schedule: This position will require working on Saturdays and providing holiday coverage as needed by the department.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-PR1

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Trading Systems Engineer, you’ll have the opportunity to learn and grow while supporting our trading technology. You’ll work closely with trading, infrastructure, and software development teams to keep systems running smoothly. You’ll gain experience working with exchanges, traders, and developers to help resolve technical issues and assist with ongoing improvements.

Qualifications & Skills:

• 1–3 years of experience in trade support, systems administration, site reliability engineering, or a related technical role (internships or projects count!)
• Bachelor’s Degree in Computer Science, Engineering, or related STEM field
• Basic understanding of networking concepts (TCP/IP, DNS, DHCP) and ability to use common troubleshooting tools
• Exposure to containerized applications (e.g., Docker, Kubernetes) is a plus
• Ability to think through and troubleshoot technical problems under time pressure
• Clear communication skills, written and verbal
• Familiarity with scripting languages (e.g., Python, Bash, PowerShell) for basic automation tasks
• Experience with Linux/Unix environments (basic command line skills)

What You’ll Be Working On:

• Keeping trading systems healthy and available by proactively spotting and resolving potential issues
• Responding to trader and engineer request with both urgency and understanding of the bigger operational context
• Participating in the onboarding of new desks and systems, thinking ahead about how they’ll fit into the broader ecosystem
• Learning the trading environment deeply so you can anticipate challenges and suggest improvements

What we Value:

• Intent over Instruction: we’ll share what we’re trying to achieve; you’ll help determine the best way to get there
• Responsibility and trustworthiness: you follow through and communicate progress and results clearly
• Continuous learning and adaptability: when conditions change, you adjust while keeping the mission in mind
• Collaboration: you seek input when needed but are comfortable making informed decisions yourself

About You:

• You enjoy diagnosing problems and thinking creatively about solutions
• You’re excited about fast-moving environments and want to see your work make an impact quickly
• You learn by doing and feel comfortable diving into unfamiliar technology

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-PR1

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

DRW-NX is looking for a talented Network Infrastructure Architect to join our NSO team (Network Services and Operations). You will play a critical role in building, automating, and ensuring the reliability of some of the most cutting-edge low latency infrastructure in the world.

You will:

• Have the opportunity to work on the fastest network in the world.
• Experiment with the latest technologies and be a pioneer in the networking industry.
• Be part of a driven and dynamic global team focused on designing, improving, managing and monitoring a cutting-edge global network.

As a Network Infrastructure Architect for DRW, you will have two main mandates:

1. Supporting our global infrastructure with a focus on low latency including:

• • Providing operational support for our global wireless and wired high-performance network environments
  • Diagnose and solve network related issues and outages
  • Proactively identifying enhancements to existing configurations, technologies and procedures to improve performance
  • Operating and provisioning monitoring and telemetry systems where applicable
  • Contributing to the documentation of network processes, systems and configurations
  • Participate in network change and code reviews

1. Work on team and department projects such as:

• • Automate our network provisioning and operation
  • New network, colocation or path onboarding
  • New telecom link delivery
  • New monitoring solutions
  • New automation projects
  • Liaise with our internal project team and external service providers for maintenance support
  • Automate repetitive tasks and day to day network processes using scripting and automation

What you’ll bring to the team:

• At least Three to Five years of experience in network automation
• Able to write code and implementation automation using existing framework such as ansible
• Will to learn wireless technologies and low latency networking
• Knowledge of switching, routing, WAN, LAN, and datacenter network architectures
• Good understanding of Linux (Boot sequence, services, processes, network and kernel)
• Ability to deploy and operate a monitoring framework such as Cacti, Zabbix, Nagios, Prometheus or Tick stack
• Excellent analytical, organizational and problem-solving skills
• Proven ability to work under pressure in a fast-paced environment with competing priorities
• Ability to work independently and be part of a global team
• A high level of energy and a passion for creativity and innovation
• The flexibility to participate in the rotating weekend maintenance schedule
• Excellent verbal/written communication skills and documentation/knowledge management skills

Bonus points for:

• Bachelor's degree or higher in Computer science, Software Engineering or similar
• CCNP or JNCIP certification (R&S or similar)
• Experience working on automation (Python, Ansible/Puppet/Salt etc.)
• Experienced in Python, Go or similar coding language
• Experience with point-to-point wireless networks and knowledge of RF principles
• Experience working on low latency or trading networks
• Hands on experience working with containers or pods (docker or Kubernetes or similar)
• Hands on experience with cloud services (AWS)
• Firewall experience (Checkpoint, FortiGate, Palo Alto etc.)

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-PR1

Job responsibilities

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About Thoughtworks

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Responsible Use of AI in Recruitment

About Thoughtworks

#LI-Onsite

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

#LI-Onsite

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

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Role Purpose

As a Senior Backend Software Engineer (Fixed Term Contract) within Boku’s Engineering organisation, you will be one of a small group of engineers delivering new products as part of Boku’s Innovation department. A new suite of products being built from the ground up. This is a greenfield development engagement: the work is scoped to designing and building new software, not maintaining or extending existing production services. You will work in a small, high-autonomy team with a clear remit and a defined delivery horizon, reporting to the Head of Product and Engineering.

Key Responsibilities

Backend Engineering

• Design and build production-grade services using Java and Spring Boot, targeting high throughput, low latency, and high availability (99.99%+).
• Implement and evolve RESTful/gRPC/MCP and event-driven APIs supporting payment initiation, callback handling, reconciliation, and settlement flows.
• Build for fault tolerance and resilience: circuit breakers, retry logic, idempotency, and graceful degradation under load. Maximum observability and telemetry at the core of the build to ensure easy support.
• Optimise service performance through profiling, load testing, and careful data access layer design (SQL and NoSQL).
• Collaborating with colleagues and off-shore development teams providing code-reviews and guidance as necessary to team members and development studios.

Payment Systems

• Build the core components of Payout, Card Processing and FX systems from scratch, including a payout processing engine, AI agent treasury orchestration layer, and cash forecasting service. This work is entirely new development and there is no existing codebase to maintain or inherit.
• Contribute to PCI DSS compliant system design and implementation, including sensitive data handling, audit logging, and access control.

Frontend Contribution

• Contribute React-based frontend components for internal tooling, operational dashboards, and merchant-facing interfaces where required.
• Work with Product and Design to deliver functional, well-tested UI features that meet Boku's quality bar.

FX & Treasury Integration (Desirable)

• Support integration with FX data sources including Bloomberg feeds, for use in real-time rate pricing, settlement FX, and treasury risk tooling.
• Contribute to cash position and FX exposure monitoring services, working alongside Finance and Treasury stakeholders.

Reliability & Operations

• Instrument projects with observability from day one: structured logging, distributed tracing, metrics, and alerting built as part of the product, not retrofitted. On-call and incident management for existing Boku production services are outside the scope of this contract.
• Instrument services with structured logging, distributed tracing, and metrics; contribute to SLO/SLA definitions and alerting.
• Set up CI/CD pipelines, container build configuration (Docker/EKS), and code quality gating (SonarCloud, SAST) as new infrastructure built to Boku’s engineering standards and handed over as part of the finished product.

Key Skills, Experience and Competencies

Required

• 5+ years of backend engineering experience, with deep expertise in Java and the Spring Boot ecosystem (Spring MVC, Spring Data, Spring Security).
• Demonstrable experience building and operating high-throughput, high-availability distributed payment or financial services systems.
• Strong understanding of payment system architecture: idempotency, exactly-once delivery, reconciliation, and settlement flows.
• Experience with relational databases (PostgreSQL, MySQL) and messaging systems (Kafka, RabbitMQ, or equivalent).
• Familiarity with container-based deployment (Docker, Kubernetes/EKS) and CI/CD pipeline tooling (GitHub Actions or equivalent).
• Experience with PCI DSS compliant system design and secure coding practices.
• Strong communication skills; ability to work effectively with Product, Architecture, and Operations in a globally distributed team.

Preferred

• React frontend development experience sufficient to contribute to internal tooling and dashboards.
• Experience integrating with Bloomberg data feeds (BFIX, B-PIPE, or similar) or other real-time FX data sources.
• Background in FX processing, treasury systems, or multi-currency settlement.
• Experience with financial messaging standards (ISO 20022, SWIFT MT/camt formats).
• Prior work in a payments processor, PSP, or fintech operating across multiple markets.

AI & Agentic Systems

• Practical experience building or integrating LLM-powered features into production services, including prompt engineering, tool/function calling, and structured output handling via APIs such as Anthropic or OpenAI. Familiarity with AWS Bedrock is ideal.
• Experience designing or contributing to agentic workflows: multi-step autonomous processes where models plan, call tools, and act on results — including handling retries, failure modes, and human-in-the-loop checkpoints.
• Familiarity with MCP (Model Context Protocol) or similar tool-use frameworks for connecting AI models to internal APIs, databases, and external services.
• Comfortable using AI-assisted development tooling (e.g. Claude Code, GitHub Copilot, Cursor) as part of day-to-day engineering workflow, and able to reason critically about where AI assistance adds value versus where it requires human judgement.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• 5+ years of professional software engineering experience in backend-heavy roles.
• Prior experience in a regulated financial services or payment processing environment strongly preferred.

Why Join Boku?

Impact: Work on payment infrastructure that processes billions of dollars annually, serving some of the world's largest digital commerce platforms across 65 countries.

Focus: A fixed term engagement with a clearly scoped remit, embedded within a high-calibre engineering team operating on greenfield and core platform work.

Culture: A collaborative, inclusive engineering culture that values craft, rigorous thinking, and delivery. Boku is a genuinely global company with deep expertise in local payment markets.

Benefits: Competitive day rate, flexible working arrangements, and Singapore-based team with global stakeholder exposure.

Responsibilities

We are seeking an Senior AI Applications Engineer (Full Stack) to lead the development of cutting-edge AI-powered applications. In this role, you’ll work across the stack—building robust Python-based backends, developing intuitive frontends in React, and architecting scalable systems that handle high-throughput data and real-time AI model integration.

This is a hands-on technical lead position for someone passionate about building production-ready AI products that are fast, secure, and user-friendly.

• Design and develop full stack AI applications, integrating powerful AI models with seamless front-end user experiences.

• Build scalable, production-grade backend services and REST APIs using Python.

• Develop clean, performant, and reusable React.js components for modern web interfaces.

• Architect efficient and secure data workflows, leveraging PostgreSQL for transactional data and ClickHouse for analytics and high-performance querying.

• Collaborate closely with AI/ML engineers, product managers, and DevOps to bring models to life in real-world applications.

• Lead architecture discussions and set engineering best practices across the stack.

• Optimize application performance, scalability, and reliability across backend and frontend systems.

• Mentor junior developers and contribute to a culture of engineering excellence.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, related field, or equivalent practical experience. We value both traditional education and self-taught expertise.

• 5+ years of professional software development experience, with significant exposure to both frontend and backend technologies.

• Expertise in Python, with a strong understanding of building APIs, microservices, and data pipelines.

• Proven experience developing production-ready frontend applications using React.js (or similar frameworks).

• Deep knowledge of REST API design and integration patterns.

• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases.

• Familiarity with integrating AI/ML models into applications (directly or via APIs).

• Strong understanding of software architecture, scalability, security, and system design.

• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.

Soft Skills / Personal Characteristics

• Excellent verbal and written communication skills; able to clearly articulate technical ideas and trade-offs.

• Strong sense of ownership, accountability, and leadership.

• Passion for AI and delivering impactful, data-driven software solutions.

• Comfortable working in a fast-paced, collaborative, and iterative environment.

• Willingness to mentor others and help raise the overall bar for engineering quality.

(REQ ID: 2456)

Responsibilities

We are looking for an experienced and exceptional AI / ML Engineer (Voice Agents) to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning products that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems. If building AI products from zero to one that scales to serve millions of users from first principles of AI and engineering, you are at the right place. We are building organization-aligned agents that are consistent at scale from the ground up and looking for passionate builders who are rooted in foundational AI knowledge to reimagine the agent control and data plane. 

You will be working on the AgentX Apps, Please click on the link for more details.

As part of this role you will:

• Design and implement advanced AI/ML systems with a focus on SLMs, LLMs, AI Agents, and Search architectures.
  
  
• Build conversational AI interfaces that handle multi-turn low latency chat/voice customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary.
  
  
• Build production-grade AI pipelines for data processing, model training, fine-tuning, benchmarking (dual-control, fluid model etc.) and serving at scale.
  
  
• Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, LLM evaluations, human evaluations and conversation outcomes to improve model performance over time. Reinforce organizational policies based on knowledge bases, conversational data and memory systems.
  
  
• Create AI based analytics dashboards and reporting tools to track automation effectiveness, tracing for identifying bottlenecks, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores. Quality assurance, management to get actionable insights from customer conversations and create evals for the current generation agents.
  
  
• Lead technical initiatives for AI system integration into existing products and services.
  
  
• Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, or a related field, or equivalent practical experience.
  
  
• 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java).
  
  
• Demonstrated experience building production AI systems including chatbots, virtual assistants, and automated support agents using SLMs, LLMs (commercial, open-source models).
  
  
• Demonstrated strong foundational understanding and appreciate first principles thinking in ML, NLP (transformer based models).
  
  
• Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, dialogue state tracking and conversation flow management for building a reliable framework for context engineering.
  
  
• Expertise in tuning streaming ASR and TTS engines, Speech to Speech models for context and domain aware transcriptions and naturalness in voice.
  
  
• Expertise in conversation mining for identifying customer intents, root cause analysis, sentiment, resolution, policy adherence for not just auditing but truly understanding conversations for business outcomes across large enterprise scale.
  
  
• Expertise in working with use case based SLMs for realtime agent coaching and recommendations.

• Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions.

• Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling.
  
  
• Deep knowledge of REST API design, Pub-Sub architectures and integration patterns.
  
  
• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases (added advantage but not necessary skill)
  
  
• Strong understanding of software architecture, scalability, security, and system design.
  
  
• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.
  
  
• Experience with A/B testing and experimentation frameworks.

Soft Skills / Personal Characteristics

• Strong communication abilities to explain technical concepts
  
  
• Collaborative mindset for cross-functional team work
  
  
• Detail-oriented with strong focus on quality
  
  
• Self-motivated and able to work independently
  
  
• Passion for solving complex search problems
  
  

Job Req ID: 2455

You will join the Workato AI Lab, which partners with industry leaders, public sector organizations, and academic institutions to build real-world AI solutions. Join our multidisciplinary team as we pioneer next-generation AI innovation for Asia’s top enterprises. From driving agentic orchestration to building robust AI governance frameworks, your work will shape the future of intelligent automation for leading organizations across the region.

We seek an exceptional Senior Go Engineer to join the Workato Genie team. In this role, you will be responsible for developing mission-critical features and services for the Workato platform, including AI chatbot dispatching and balancing synchronous and asynchronous AI execution. You will also be accountable to:

• Build high-performance gateways and routing components
• Build server-side infrastructure for logging and monitoring
• Work closely with Infra and SRE teams to ensure high availability and scalability requirements are addressed
• Collaborate closely with the AI team to design and implement innovative features for a new AI assistant, ensuring cutting-edge performance and user experience. 
• Contribute at all phases of the development lifecycle
• Write well-designed, testable, efficient code
• Evaluate and propose improvements to the existing system
• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

Qualifications / Experience / Technical Skills

• BS/MS degree in Computer Science, Engineering, or a related subject
• 8+ years of industry experience
• Strong experience with Go language at backend (4+ years)
• Excellent debugging, analytical, problem-solving, and social skills
• Good understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.
• Experience with building and scaling distributed, highly available systems
• Experience in Ruby on Rails is a plus
• Contributions to open-source projects are a big plus
• Understanding of possible bottlenecks in a code and a solution in general
• At least basic knowledge of Kubernetes concepts and configuration

Optional Requirements

• Experience with Docker and other isolation technologies
• Experience with Redis-based caching
• Experience with public cloud infrastructure providers (AWS/Azure/Google Cloud)
• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc)
• Experience with third-party REST APIs at scale (request throttling, batch processing, etc)

Soft Skills / Personal Characteristics

• Readiness to work remotely with teams distributed across the world and timezones
• Spoken English (at a level enough to pass technical interviews and work with colleagues)
• Open to new technologies and willing to experiment
• Full-cycle product feature delivery mindset (from design to production and maintenance).

Job Req ID: 2423

Responsibilities

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure teamin conjunction with the Workato AI Lab in Singapore. You will work closely with engineers in Singapore, US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems.

 In this role, you will also be responsible to:

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.

• Collaborate with US-based engineering teams to plan and deliver complex platform initiatives.

• Patch and optimize open-source components for performance and security.

• Develop low-level internal services using Linux syscalls and networking primitives.

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.

• Improve and maintain CI/CD pipelines for scalable and secure component delivery.

• Tune Linux systems and open-source software for high performance and hardened security.

• Build internal tools to streamline engineering workflows and operational automation.

• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

Qualifications / Experience / Technical Skills

• 7+ years of experience in infrastructure or systems engineering roles.

• Proven expertise in distributed systems and cloud-native architectures.

• Strong understanding of Linux internals, including networking and system-level performance tuning.

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform, Kubernetes. 

• Solid understanding of network security and cloud security best practices.

• Hands-on experience optimizing CI/CD workflows and automating deployments.

• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.

• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.

• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.

• Understanding of Vault or other secrets management systems.

• Contributions to or maintenance of open-source infrastructure projects.

Tech Stack

• AWS • Terraform • Kubernetes • Docker • Linux • Golang • ArgoCD • Kafka • PostgreSQL Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

(REQ ID: 2437)

Job Description

Fusion Worldwide is looking for a hands-on developer who can both build applications and stand up the infrastructure they run on. This role sits at the intersection of software engineering and day-to-day operations — you will own solutions end-to-end, from database design and deployment pipelines through to the application layer and operational dashboards.

You'll significantly shorten the time between an operational need and a working solution. We prioritize shipping working tools quickly, then hardening them as they prove their value.

What We Can Do For You

• Offer support through a collaborative, open environment alongside seasoned professionals with decades of industry expertise.
• Enable career growth through direct and focused mentorship.

What You Can Do For Us

Key Responsibilities

• Design, develop, and deploy automation and AI-assisted solutions for warehouse and test lab operations.
• Set up and maintain the deployment infrastructure these tools run on — databases, application hosting, CI/CD, backups, and monitoring.
• Design and operate data pipelines that ingest equipment data from warehouse systems and Prosemi test lab machines into centralized, queryable stores for real-time monitoring and automation.
• Build and maintain barcode label recognition and authentication systems using OCR and computer vision techniques.
• Develop inventory auto-count and verification workflows that reconcile physical stock against database records in real time.
• Manage the on-premise and/or cloud environments where these systems run, including networking between warehouse equipment and centralized services.
• Implement basic security and access controls — authentication, secrets management, and network segmentation between equipment and corporate systems.
• Work closely with the engineering team to ensure solutions follow company standards and remain maintainable at scale.
• Iterate rapidly on released solutions — applying updates, feature additions, and adjustments with minimal turnaround time.
• Own runbooks and documentation for the tools you build so operations teams can self-serve.

What you will work on

• Barcode AI recognition — OCR and vision-based label reading and authentication to reduce manual verification errors.
• Inventory auto-count — Automated physical inventory counting with real-time database cross-verification.
• Machine data integration — Connecting test lab and warehouse equipment to structured data pipelines.
• Operational dashboards — Visibility tools that surface key metrics to operations and quality teams.

Who We’re Looking For

• 5+ years of software development experience, including at least 2 years operating production systems you built yourself.
• Minimum of a Bachelor’s Degree in computer science or a related discipline is required for this role.
• Strong backend development skills in Python (or similar), with solid fundamentals in API design, async processing, and database modeling. Comfortable with both SQL and NoSQL — and knows when to use which.
• Hands-on experience deploying and operating production systems: containers (Docker), at least one cloud platform (AWS/Azure/GCP) oron-prem Linux administration, CI/CD pipelines, and basic observability (logs, metrics, alerts).
• Experience designing and running data pipelines that ingest from external sources (APIs, hardware, files) into a queryable store.
• Comfortable with networking fundamentals — TCP/IP, firewalls, VPNs — and connecting industrial or warehouse equipment to backend services.
• Familiarity with AI/ML APIs or frameworks for vision tasks (OCR, object detection, classification). You don't need to train models from scratch, but you should know how to integrate and fine-tune existing ones.
• Comfortable working in an operational environment — able to gather requirements directly from non-technical stakeholders and translate them into working systems.
• Strong ownership: you can take a project from a vague operational need through to a deployed, monitored, documented solution.

      Good to have

• Exposure to industrial equipment data protocols (Modbus, MQTT, OPC-UA, serial, vendor REST APIs).
• Experience with computer vision or barcode/OCR technologies (YOLO, Tesseract, ZXing/pyzbar, cloud vision APIs).
• Message queues or streaming tools (RabbitMQ, Kafka, Redis Streams).
• Background in warehouse management systems (WMS) or laboratory information management systems (LIMS).
• Experience in electronics distribution, semiconductor, or supply chain environments.

Benefits

• Attractive salary package with medical and dental benefits.
• Modern, open-concept working environment.
• Collaborative and motivated team culture.
• Supportive management invested in your success.
• Smart casual dress code.
• Conveniently located within walking distance from Taiseng MRT station.

Role Summary 

This role is an opportunity to work with a high-agency startup team operating in the hard-tech and energy systems space. You will play a critical role in designing, building, and scaling the backend systems that power Amperesand’s ERP platform and its integration with factory software, analytics, and operational software systems. 

This is a hands-on role. You will architect and deliver production-grade backend services that support high-concurrency, high-availability workloads across manufacturing, inventory, supply chain, work orders, and enterprise operations. The backend in this role will serve as the connective layer between ERP capabilities and factory software execution, while also enabling intelligent systems that support automation, decision support, operational analytics, and future AI-driven workflows. The role requires close collaboration with frontend, product, AI, and domain expert teams — along with a strong sense of ownership, systems thinking, and pragmatism in building reliable software for real-world operations. 

Responsibilities:

• Own the design, architecture, and implementation of backend systems for Amperesand’s ERP platform and its integration with factory software, analytics, and operational platforms. 

• Build and scale high-concurrency, high-availability services in Go to support mission-critical manufacturing and business workflows. 

• Design backend systems that connect ERP workflows with factory software domains such as inventory management, supply chain operations, work order execution, production tracking, and enterprise reporting. 

• Build robust APIs, service interfaces, and data models that enable frontend applications, analytics systems, internal tools, and third-party enterprise integrations.  

• Develop backend capabilities for workflow orchestration, machine and system integrations, telemetry ingestion, operational event processing, and reporting.  

• Build services that connect shop-floor execution with ERP-oriented workflows such as material tracking, inventory state, work order status, fulfillment processes, and supply chain visibility.  

• Design and support intelligent systems that enable automation, contextual recommendations, operational insights, and AI-assisted workflows across ERP and factory software platforms.  

• Build distributed systems that are reliable, observable, and resilient under production load. 

• Optimize backend performance across service latency, throughput, data access patterns, and system resource utilization.  

• Collaborate closely with frontend, product, and domain teams to translate operational requirements into scalable backend architectures.  

• Drive best practices for service reliability, fault tolerance, testing, deployment, and maintainability.  

• Contribute to technical strategy and architecture decisions across backend, infrastructure, data, and platform layers.  

• Mentor other engineers through code reviews, design reviews, and strong engineering standards.  

• Leverage AI-assisted development tools where useful to improve engineering velocity, code quality, and developer productivity.  

• Document service designs, architecture decisions, and tradeoffs for cross-functional stakeholders. 

Qualifications:

• 7+ years of experience in backend or distributed systems engineering, including production deployments in scalable environments.  

• Strong experience with Go and building production backend services.  

• Proven experience designing systems for high concurrency, high availability, and fault tolerance.  

• Experience building backend platforms for ERP, MES, factory software, analytics, workflow engines, or other enterprise/business-critical software.  

• Strong understanding of API design, microservices, distributed system patterns, and asynchronous/event-driven architectures.  

• Experience with databases and data systems such as PostgreSQL, Redis, MQTT, NATS, ClickHouse, or similar technologies.  

• Familiarity with real-time data processing, telemetry pipelines, and backend systems that support dashboards, reporting, and analytics.  

• Experience with observability and production operations, including logging, metrics, tracing, alerting, and incident debugging.  

• Familiarity with cloud infrastructure and containerized deployment environments such as AWS, Kubernetes, and Docker.  

• Strong testing discipline across unit, integration, and end-to-end service validation.  

• Comfortable working with AI coding tools such as Copilot, Cursor, Claude, or similar tools to supplement and accelerate development.  

• Proficiency in English and ability to communicate effectively with wider teams.  

• Ability to travel up to 20%, including international 

Bonus Qualifications:

• Background in energy engineering systems (power systems, energy storage, power electronics, or controls). 

• Experience in manufacturing, industrial automation, supply chain, inventory managment, energy systems, or other operational technology domains 

• Experience designing systems that integrate with machines, PLCs, IoT devices, or external enterprise platforms. 

• Experience with MES, digital twins, or asset health monitoring. 

• Experience working within or building design systems.  

• Experience building backend platforms that support AI-enabled workflows, data capture, or operational intelligence systems.  

• Familiarity with CI/CD workflows and software DevOps practices. 

• Experience working with hardware, firmware, or operations teams. 

• Open-source contributions to backend projects a plus. 

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options. 

AIX System Administrator

Important Information 

Location: Singapore

Job mode: Contract

Job Summary:

We're looking for an experienced AIX Administrator to collaborate with application teams, drive system upgrades, and ensure high availability of our UNIX infrastructure.

Key Responsibilities:

- Collaborate with application teams for EOS upgrade planning

- Define configuration standards for UNIX and system software

- Provide technical assistance to dev/ops teams

- Script automation using Perl, KSH, Python

- Work with GIT/GitHub, Maven, Jenkins, Docker, Kubernetes, Ansible, Puppet, Chef, Nagios

- Troubleshoot and drive system recovery with urgency

- Lead AIX OS upgrades and ensure supportability

- Review and supervise major change requests

- Conduct performance tuning and analysis

- Automate operations for efficiency

- Drive OS/software upgrade cycles

- Manage backup and recovery

Functional & Technical Competencies:

- AIX OS and system services (Volume Manager, NTP, DNS, Clustering, SSH, TSM, ITM)

- UNIX troubleshooting and tuning

- UNIX server clustering

- Information security fundamentals

- Data communication and networking

- Middleware/app execution in UNIX (an advantage)

Requirements:

- Strong AIX administration experience

- Experience with scripting (Perl, KSH, Python)

- Knowledge of DevOps tools (GIT, Jenkins, Docker, Kubernetes, etc.)

- Strong troubleshooting and problem-solving skills

- Experience with clustering and performance tuning

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

 Tivoli Workload Scheduler (TWS) Administrator

Important Information 

Location: Singapore

Job mode: Contract

Job Summary:

We're seeking an experienced TWS Administrator with SME-level expertise in Tivoli Workload Scheduler to manage our enterprise TWS infrastructure.

Key Responsibilities:

- Execute EOS upgrades across multiple platforms

- Manage full TWS infrastructure: production issues, troubleshooting, RCA, fixes

- Install, customize, enhance, and integrate TWS with Linux/AIX/Wintel, cloud, and OpenShift

- Day-to-day administration: upgrades, patching, hardening, vulnerability fixes, user issues

- Ensure high availability, stability, and performance

- Participate in 24x7 rotational on-call support

- Automate tasks via scripting (Perl, Python, Shell)

- Troubleshoot scheduling options and develop automation tools

- Linux/UNIX administration and DevOps tools (GIT, Jenkins, Puppet, Docker, Kubernetes)

Mandatory Skills:

- 3+ years of TWS administration experience

- Strong Linux/AIX/Wintel background

- Hands-on scripting: Perl, Python, Shell

- Strong troubleshooting, RCA, and automation skills

- Experience managing enterprise-scale TWS environments

Advantage:

- Experience supporting TWS on OpenShift, Docker, Kubernetes

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

Job Description

Abnormal AI is revolutionising cybersecurity by leveraging AI-native technologies to combat modern cyber threats. Behind every fast-moving go-to-market motion is a platform that makes it possible — and that's what the AI GTM Platform team builds. We're the engineering team powering the forward-deployed product teams who sit shoulder-to-shoulder with our customers and internal stakeholders, turning enterprise pain points into shipped product on timelines traditional enterprise cycles can't match.

If you love building leverage — tools, systems, and platforms that multiply the impact of others — and want to own products through every stage of their lifecycle, this role is for you.

What You'll Do as a Software Engineer II

As part of the AI GTM Platform team, you will:

• Build the platform that powers the field. Design and ship the internal products, APIs, and services that let our forward-deployed teams prototype, validate, and scale customer-facing solutions with unusual speed.
• Own the full product lifecycle — 0→1, 1→10, and 10→100. You'll work across Experimental, Early Access, and General Availability stages of platform products. It's rare to get to take an idea from a napkin sketch through enterprise-grade rollout; here, you'll do it, sometimes on multiple products in parallel.
• Work in one of the most dynamic problem spaces in the business. GTM is where strategy, customers, product, and revenue converge. Every customer interaction, every deal, every expansion flows through it — and the platforms you build shape how effectively all of that moves.
• Leverage AI-augmented development. Use AI coding assistants to enhance productivity, optimise workflows, and automate repetitive work.
• Combat modern cyber threats at scale. Build secure, scalable systems that sit inside a platform processing billions of security events for Fortune 500 enterprises.
• Partner closely with customers and the field. Work with the people closest to our enterprise customers to understand real problems, iterate quickly, and deliver solutions that compound over time.

Technical Requirements

We're looking for engineers who have:

• 4+ years of professional experience in software development.
• Backend development experience with Python, TypeScript, or Go.
• Solid fundamentals in at least one modern frontend framework (React, Angular, or Vue). AI accelerates a lot of the implementation work here — what matters is that you can read generated code critically, tell good patterns from bad, and ship frontends you'd be comfortable defending in review.
• Familiarity with — or genuine curiosity and willingness to learn — AI coding assistants as part of your everyday workflow.
• Experience or strong interest in building scalable, enterprise-grade applications.
• Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Strong fundamentals in computer science, data structures, and performance optimisation.

Nice to Have

• Experience building internal platforms, developer tools, or systems used by other engineering and product teams.
• Background in taking products through multiple maturity stages (prototype → pilot → scale).
• Exposure to GTM, sales engineering, solutions engineering, or other customer-facing engineering environments.

Why Abnormal Security — and Why This Team

• A rare breadth of surface area. Most platform roles specialise in one stage of maturity. Here, you'll operate across experimental prototypes, early-access pilots with design partners, and fully productised GA systems — and learn how each stage demands a different kind of engineering.
• Build for the sharpest users you'll ever have. Your internal users are the technical, fast-moving teams closest to our enterprise customers. They'll give you direct, high-signal feedback and put what you ship into customers' hands quickly.
• Direct line to business impact. GTM platforms are measured by how much faster the business moves as a result. Your work compounds across every customer engagement, every quarter.
• AI-native engineering culture. We expect AI-assisted development — it's how we stay small, fast, and ambitious. You'll have real room to experiment with and shape how the team uses these tools.
• Mission that matters. The systems you build ultimately protect the world's largest enterprises from sophisticated cyber attacks.

Ready to be part of the AI transformation at Abnormal Security?

Once you apply, you'll be invited to our AI-Augmented Development Challenge, where you'll gain hands-on experience with AI coding assistants to build real-world application features. This challenge is a take-home assignment requiring 2–4 hours of work to be completed within one week — apply when you're ready!

#LI-JP2

The Role

We are seeking an experienced Senior Platform Support Engineer to join our Trade & Platform Support Engineering team in Singapore. You will be part of a global group that delivers front-line support for our proprietary quantitative-trading platform. Working alongside colleagues in the UK and the US, the team provides follow-the-sun coverage—24/7 monitoring and support of Schonfeld’s trading environment—while partnering closely with Development, Infrastructure, and Networking teams to ensure the platform’s connectivity, hardware, and software remain reliable, maintainable, and high-performing.

What you’ll do 

• Serve as the first point of contact for production issues, support requests, and alerts.
• Investigate and resolve incidents or outages in real time, escalating when necessary.
• Collaborate with Infrastructure and Networking teams to monitor connectivity and hardware across the investment platform.
• Work directly with Portfolio Managers on project work and ad-hoc support requests.
• Manage regional Change Control and lead Incident Management processes.
• Partner with software-development teams to ensure smooth deployment of new code to production.
• Automate recurring processes and workflows, and build internal tooling to improve efficiency and system resilience.

What you’ll bring
What you need:

• At minimum, five years of experience in financial services supporting trading and post-trade systems
• Experience in managing large scale deployments/environments
• Experience supporting applications in a Linux environment
• Strong scripting skills – Python, Bash, Shell, Perl
• Experience developing tools and/or automating processes
• Experience with supporting FIX protocol
• An understanding of monitoring, and performance management
• Excellent verbal and written communication skills
• Strong ownership experience and a track record of delivering results
• A degree in Computer Science, Engineering, or a related field

We’d love if you had:

• Experience performing FIX certification/onboarding
• Experience with NFS and GPFS file systems
• Knowledge of storage devices
• Experience with application monitoring systems such as ITRS Geneos
• Experience with Control-M job scheduling
• Knowledge of q and kdb+
• Experience with AWS
• Experience with Docker

Our Culture 

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

Who we are

Schonfeld Strategic Advisors is a multi-manager platform that invests its capital with Internal and Partner portfolio managers, primarily on an exclusive or semi-exclusive basis, across four trading strategies; quantitative, fundamental equity, tactical trading and discretionary macro & fixed income. We have created a unique structure to provide global portfolio managers with autonomy, flexibility and support to best enable them to maximize the value of their businesses.

Over the last 30 years, Schonfeld has successfully capitalized on inefficiencies and opportunities within the markets. We have developed and invested heavily in proprietary technology, infrastructure and risk analytics and continue to capitalize on new opportunities. In 2021 we launched our newest strategy, discretionary macro & fixed income as part of the continual growth of Schonfeld’s investible universe. Our portfolio exposure has expanded across the Americas, Europe and Asia as well as multiple asset classes and products. 

#LI-TJ1

• Partner with our Sales Team to help customers evaluate and prove the value of our solution
• Focus on acquiring new customer “logos” in addition to growing existing customer base
• Own all technical aspects of sales opportunities and assisting current customers understand the value of Chainguard
• Day to day responsibilities include:
  • Listen to our customers and understand their challenges
  • Conduct product demonstrations and POVs/POCs
  • Actively participate in webinars, meetups, conferences and other marketing initiatives

• Experience as a Sales Engineer / Pre-Sales Engineer
• Experience with MEDDPICC and or Command of the Message sales frameworks
• Experience selling into Enterprise (3+ years) and Mid Market prospects
• Experience in the following areas:
  • Container technologies (Kubernetes, Serverless, Docker)
  • Cloud technology (AWS, Azure, Google, etc.)
  • Cloud security or containers security
  • App Security
• Startup experience
• Smart and passionate people that can persevere to success.
• People acting as trusted advisors, able to build credibility with customers.
• Strong team players committed to help and mentor their peers.

We’re not hiring someone to run models. We’re hiring someone who builds systems that think.

At SimplifyNext, our AI Engineers are core to how we deliver transformation — designing and deploying intelligent systems that genuinely change how organisations operate. You won’t be a supporting act to another team. You’ll be the one building the agents, pipelines, and infrastructure that make our AI products real.

We work across public sector and enterprise, at the intersection of AI, automation, and product-led transformation. If you’re energised by hard engineering problems, care about production outcomes - not just research benchmarks - and want your work to reach real users at scale, read on.

What You'll Do

1. Build Agentic AI Systems

• Design and build sophisticated AI agents capable of independent operation, complex decision-making, and self-correction across domain-specific contexts.
• Develop orchestration workflows using frameworks such as LangChain, LangGraph, and/or the Microsoft Bot Framework to create robust conversational and task-oriented agents.
• Implement Retrieval-Augmented Generation (RAG) systems that connect agents to live, accurate knowledge bases — reducing hallucinations and improving output quality.
• Build Memory, Reasoning, and Planning (MRP) capabilities so agents can maintain context, reason across information, and execute multi-step plans.
• Design Agent-to-Agent (A2A) communication protocols that allow multiple autonomous agents to collaborate, delegate tasks, and exchange information securely.
• Work with LLM serving solutions (Ollama, vLLM) to ensure efficient, scalable inference in production environments.

2. Deploy and Operate at Scale

• Deploy and manage AI systems on major cloud platforms — AWS, Azure, or GCP — ensuring high availability, security, and scalability.
• Containerise applications with Docker and orchestrate deployments with Kubernetes, including end-to-end on-premise cluster setup and management.
• Build and maintain CI/CD pipelines using tools like Argo (Argo Workflows, Argo CD) for reliable, automated delivery of AI services.
• Expose AI capabilities through well-documented, performant APIs that integrate seamlessly with client-facing systems and applications.

3. Train and Fine-tune Models

• Train, fine-tune, and optimise custom AI models using TensorFlow and/or PyTorch, particularly where off-the-shelf models don’t meet specific project requirements.
• Run structured experiments — hyperparameter tuning, ablations, model evaluation — to hit performance targets with confidence.
• Stay current with the latest developments in large language models and agentic AI, and bring new techniques into our systems proactively.
• Work across diverse data modalities: text, image, time-series, and graph-structured data.

Who You Are

Must-Have

• Production mindset — you’ve shipped AI systems to real users, not just demos.
• Strong fundamentals in agentic AI — you understand how to design agents that are reliable, not just impressive.
• Hands-on with at least one major cloud platform (AWS, Azure, or GCP) for deploying and managing AI workloads.
• Solid Python engineering skills and comfort working in a Git-based, collaborative codebase.
• Experience with containerisation (Docker) and orchestration (Kubernetes) in real deployment contexts.
• Clear communicator — able to explain complex technical decisions to non-technical stakeholders.

Good to Have

• 3–7 years in AI/ML engineering or a closely related role (data engineering, MLOps, applied research).
• Hands-on experience with LangChain, LangGraph, Ollama, vLLM, or similar orchestration and serving tools.
• Demonstrable RAG system implementation and optimisation experience.
• Familiarity with Memory, Reasoning, and Planning (MRP) concepts and Agent-to-Agent (A2A) protocol design.
• Experience with MLOps tooling, particularly Argo Workflows and Argo CD.
• Proficiency in TensorFlow and/or PyTorch for model training and fine-tuning.
• Exposure to knowledge graphs, semantic web technologies, or prompt engineering strategies.

This role is not for you if…

• You’ve only worked with AI in sandboxed or prototype environments and haven’t dealt with production reliability challenges.
• You prefer to work from a detailed spec rather than figuring out the right approach as you go.
• You treat deployment as someone else’s problem
• You measure success by models trained, not by outcomes delivered.

Why SimplifyNext

We partner with governments and enterprises to shift from project delivery to product thinking. That means working on problems that genuinely matter — healthcare access, business licensing, workforce development — and being held accountable for outcomes, not just deliverables.

• 3+ years of backend development in Python, Go, or Java
• End-to-end LLM Agent production experience with depth in architecture design, hallucination handling, and tool-call fault tolerance
• Hands-on AI security knowledge — Prompt Injection, Jailbreak, malicious agent injection, tool misuse — with production-ready defensive solutions
• Production experience with at least one of LangChain, LlamaIndex, AutoGen, CrewAI, or LangGraph
• Proficiency with Docker, Kubernetes, and microservice architecture

• SAST/SCA or code auditing tool experience 
• LLM fine-tuning or local model deployment; security-domain fine-tuning is a strong plus
• Open source agent projects on GitHub or merged PRs to mainstream LLM frameworks
• CTF awards or CVE/CNVD submission records

We are seeking a skilled MLOps & Agentic Platform Engineer. This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure. The ideal candidate will have a strong DevOps/MLOps background and be adept at deploying scalable microservices and building observability dashboards.

Responsibilities:

• Manage model registries, continuous training loops, and A/B testing infrastructure.
• Deploy agents as scalable microservices on Kubernetes.
• Build observability dashboards to track token usage, latency, and agent reasoning paths.

Qualifications:

• Strong DevOps/MLOps background (Kubernetes, Docker, Terraform).
• Experience with MLflow, Weights & Biases, or LangSmith.
• Knowledge of building scalable microservice architectures.

Overview

The Trading Engine sits at the core of the BitMEX platform and handles all brokerage and trading aspects. The Trading Engine team is responsible for order management, risk management, position keeping, PNL calculations, market data distribution, order matching, and settlement.

We are building a best-in-class engineering team to help us scale the BitMEX trading platform to millions of users and millions of transactions per second, and grow an innovative set of new products. We are looking for strong technologists to join our lean core team with a keen interest in building the next generation of electronic trading systems.

Key Responsibilities

• Ownership in the design, development and delivery of trading system components
• New feature implementation, bug fixing, and performance tuning
• Partner with Financial Products and quantitative researchers on product delivery
• Mentor team members and drive firm initiatives

Requirements

• 8+ years programming experience writing high-performance Java applications
• Experienced in developing low latency trading systems
• Bachelor's degree in a Computer Science or similar STEM discipline
• Experience in a related industry, such within a Hedge Fund, Investment Bank, or an Exchange developing financial trading applications
• Understanding of the modern software development fundamentals and testing practises inclusive of TDD and BDD
• Understanding of design patterns and object-oriented programming such as SOLID, with in-depth understanding of algorithms and their complexities 
• Understanding of the Java Memory Model and concurrency in practise
• Demonstrable analytical and problem solving skills, with an ability to break larger problems down and turning complex problems into simpler abstractions
• Genuine passion for software development, and a keen lifetime learner who puts quality over quantity

Nice to have

• Experience in development of execution algos and risk management systems
• Finance knowledge in FX/Crypto spot and derivatives markets
• Basic understanding of mathematics
• Working knowledge of the KDB/q language 
• Working knowledge of containerisation using Docker/Kubernetes 
• Experience with REST/WS, FIX or any other financial protocols

Why BitMEX?

BitMEX offers a dynamic environment that blends intense work, a vibrant culture, and diversity. We actively recruit across time zones to meet growing demands and attract top global talent.

We're seeking determined, responsible, and collaborative individuals to join us in building a leading cryptocurrency ecosystem. We value meticulousness, agility, and simplicity. As a 24/7 global exchange, we look for adaptable team players who can excel in a diverse, cross-market environment.

We provide flexible arrangements to our remote contract talents with:

• Work from home to help you find the perfect balance between work, family and personal life
• Paid holidays and leave so you won’t miss out any important events
• Team building & offsite events to bring our global team closer
• Don’t forget the advantage of our Beyond Border Remote Working policy, where you get to work away from your home country
• Option to choose to be paid in fiat or crypto currency, providing the flexibility to shape your financial freedom

The role, in a nutshell:

We’re looking for highly motivated sales executives who have strong market knowledge and enjoy building relationships with key decision makers to evangelize building secure and reliable software. Our sales team walks a mile in their customers shoes and wants our customers and prospects to see the immense value and expertise Chainguard's solutions offer.

Skills/Job Requirements:

• Define and execute sales plans for your assigned territory
• Convey value prop and product differentiators to prospects and customers
• Forecast, meet, and exceed quota
• Through a combination of inbound and outbound leads, develop and manage leads funnel
• Manage business and track opportunities through CRM and other supporting tools
• Collaborate on and improve all aspects of the sales cycle, including product, support, and sales engineering
• Understand the competitive market, being familiar with competing companies and their offerings

Candidate Background:

• 8+ years of selling SaaS/Security experience required
• Domain experience with one or more of the following strongly recommended: Compute platforms (Kubernetes, Docker, AWS, Azure, Google Cloud), DevOps Tooling, CICD platforms (Github, Gitlab, jenkins), and overall SDLC.
• Strong track record consistently overachieving sales targets
• Ability to learn new products and create/learn processes quickly
• Competitive/Driven
• Excellent communication skills verbal and written
• Team player
• Must be willing to travel to clients to support sales relationships (if required)
• Entrepreneurial – Willing to go the extra mile, strong work ethic, resourceful.

Desired Qualifications:

• SaaS or Developer tools sales experience
• Startup experience
• A strong sales aptitude and fundamental understanding of the sales process
• A sound, tech-savvy business acumen and the ability to articulate a compelling value proposition in a complex and evolving business environment
• Ability to thrive in an agile environment with an ever-evolving set of solution

Who We Are:

Dynamite Games is at the forefront of creating unparalleled gaming experiences for digital natives and the next generation of gamers. Our commitment to innovation and quality drives us to develop games that are not only visually stunning but also deeply engaging. Leveraging cutting-edge technology, we strive to deliver experiences that resonate with modern gamers, offering unique narratives and immersive gameplay.

What We Need:

We’re looking for an experienced Backend Developer to help design, build, and maintain scalable web applications for our next-generation gaming experiences. You’ll collaborate with product, design, QA, and infrastructure teams to deliver high-quality solutions. If you have a strong foundation in .NET technologies and a passion for clean, maintainable code, we’d love to hear from you.

Key Responsibilities:

• Design, develop and maintain web applications

• Write technical documents or specifications

• Review committed source code among team members

• Work closely with cross-functional teams such as product owners, frontend, design, QA, infra and operations teams

• Complete tasks assigned by team lead

Who We Think Will Be A Great Fit:

• Minimum 3+ years of hands-on experience in software engineering, with exposure to the full development lifecycle

• Strong proficiency in .NET technologies, including C#, .NET Core, Web API, and Entity Framework

• Experience working with both SQL and NoSQL databases; MySQL is preferred

• Practical experience with containerization tools such as Docker

• Familiarity with cloud platforms, especially AWS, is a plus

• Solid understanding of object-oriented programming (OOP) principles and design patterns

• Knowledge of microservices and multi-tier (N-tier) system architecture

• Strong written and reading communication skills in English

• Collaborative mindset with excellent communication skills and a strong team-oriented attitude

Visier is the leader in people analytics and we believe in a 'people-first' approach to business strategy. Our innovative technology transforms the way that organisations make decisions, allowing them to elevate their employees and drive better business outcomes. Embarking on an exciting new chapter in our growth story, we are looking for talented individuals who can help both Visier and our customers grow, evolve and win!

Visier is recruiting for a Software Developer Intern to join our innovative and extremely talented Development department.

Our internship experience is unique and designed to prepare you for professional success as you work on real, impactful work from the beginning...not features that may be mothballed after a few months of hard work! Our ultimate goal is to give you the mentorship, training, and work experience you need to start your career. A number of our students return to us after they graduate and start developing their professional career at Visier!

And we use cool state-of-the-art technology to build our innovative full-stack software solution that helps people see the truth and drives organizations to perform their best. We use a variety of frontend technologies including Angular, React, NgRx, Play Framework, TypeScript, Less, and others. We deal with large volumes of data every day. And in our backend areas we work with technologies like Scala, Kotlin, Python, Kafka, Spark, Consul, Cassandra DB, Docker, AWS, etc. We work with LLMs, various prompt engineering techniques and related technologies such as LangChain. So, you’ll be developing knowledge and skills that are transferable anywhere.

What you'll be doing...

• Writing production level code that will directly impact customers
• Implementing cool new features
• Fixing complex bugs
• Writing tests
• Collaborating with people in all stages of the software development cycle

What you'll bring to the table...

• Coding skills in relevant programming languages (for example, like Java, Python, JavaScript, Typescript, Scala, or other similar languages)
• Knowledge of data structures and algorithms
• Knowledge of one of the following areas would be an advantage:
  • LLMs
  • Web technologies (REST, HTML/CSS, JSON, Angular)
  • Relational and non-relational databases and SQL language
• Coding skills in writing functional tests
• Attention to detail, tendency to spot mistakes and identify potential improvements

Most importantly, you share our values...

• You roll up your sleeves
• You make it easy
• You are proud
• You never stop learning
• You play to win

About Us

In partnership with one of the largest financial conglomerates, we aim to bring the majority of Japanese equities on-chain, creating a secure, transparent, and high-performance trading infrastructure that can support institutional volumes while remaining accessible to retail participants. We are building a next-generation decentralized exchange with a fully on-chain order book. Our system is built with a custom state transition function and consensus layer, purpose-designed for high-performance, low-latency trading. The goal is to deliver a trustless platform that matches the speed and efficiency of traditional trading engines while providing full transparency by running execution as close as possible to the blockchain itself.

Position Overview

We are seeking a Senior Rust Backend Engineer experienced in building high-performance, reliable trading APIs (HTTP & WebSocket). You will be responsible for designing, implementing, and optimizing the backend services that power our exchange interfaces - ensuring low latency, resilience, and correctness under load.

You’ll work on high-throughput, real-time systems that handle order and trade data ingestion, manage live WebSocket feeds, and maintain internal state consistency from streaming market events. The ideal candidate is both a strong Rust engineer and a system thinker, capable of reasoning about concurrency, data flow, and observability in production environments.

This role offers an opportunity to shape the architecture of our trading backend at an early stage, working alongside a distributed team of seasoned engineers building next-generation financial infrastructure.

Key Responsibilities

• Own the architecture and technical direction of high-performance trading APIs (HTTP & WebSocket) supporting low-latency order entry, market data distribution, and account state updates.
• Lead the design and implementation of structured concurrency using the Tokio runtime, defining best practices for task lifecycle management, cancellation semantics, backpressure, and graceful degradation under load.
• Develop and maintain real-time state ingestion pipelines:
  • Process append-only logs (e.g., trades, order updates, book diffs).
  • Rebuild local states efficiently using snapshot + diff application.
• Model trading-related data structures, including orders, fills, trades, positions, funding, and liquidation logic.
• Implement WebSocket connection logic, including upgrade handling, frame parsing, and data fanout for subscribed clients.
• Design observable backend systems with rich metrics, structured logging, and distributed tracing for performance insights and failure analysis.
• Collaborate with system and infrastructure engineers to continuously improve performance, scalability, and fault tolerance.
• Write comprehensive unit, integration, and load tests to ensure stability under production conditions.

Requirements

Rust Expertise

• 5+ years of professional backend engineering experience, with 3+ years of Rust in production.
  • Strong experience with the Tokio async runtime and concurrent programming patterns.
  • Deep understanding of structured concurrency and robust handling of spawned task cancellation.
  • Hands-on experience with HTTP and WebSocket frameworks such as Hyper or similar.

Trading Literacy

• Solid understanding of CEX/DEX systems and trading models.
• Familiarity with data modeling for trading entities (orders, trades, positions, funding, mark price, margin, liquidation logic, etc.).
• Prior hands-on trading or market data experience (personal or professional).

State Ingestion & Processing

• Expertise in real-time data streaming and processing systems.
• Ability to design systems that rebuild local state efficiently from snapshots and diffs.
• Familiarity with replay, recovery, and correctness guarantees in event-driven systems.

WebSocket Engineering

• Understanding of connection upgrades, frame parsing, and data fanout for subscribed clients.

Observability Engineering

• Ability to design and instrument systems for metrics, logging, and tracing.
• Experience with Prometheus and OpenTelemetry in production.
• Track record of diagnosing and resolving performance bottlenecks and production incidents.

Big Bonus

Performance Engineering

• Deep understanding of lock-free or lock-avoidant data structures
• Experience designing cache-friendly data layouts and optimizing for memory locality in latency-sensitive systems.
• Proficiency in profiling CPU and memory performance and able to diagnose and optimize latencies in real-time event pipelines

DevOps & CI/CD

• Familiarity with Docker-based environments and CI/CD pipelines.

Why Join Us

• Work on cutting-edge trading infrastructure bridging traditional and decentralized finance.
• Collaborate with a world-class, distributed engineering team.
• Influence critical technical decisions from the early stages.
• Competitive compensation and growth opportunities in a rapidly evolving space.

Role Summary   

This role is an opportunity to work with a high‑agency startup team operating in the hard‑tech sector. You will play a critical role in scaling a software engineering team to build in‑house supply chain and manufacturing software, leveraging AI‑enabled tools to accelerate development and operational efficiency. 

This is a hybrid role. In the initial phase, you will be hands‑on—defining system architecture, building MVPs, and writing production code—while simultaneously building and growing a high‑performing team to deliver software for Amperesand’s organization. 

Responsibilities:   

• Own the architecture for supply chain, inventory management, and manufacturing systems tailored to Amperesand’s operational needs. 

• Design, review, and evolve system architectures, ensuring scalability, reliability, and security. 

• Develop a team scaling and hiring plan, and actively run hiring efforts in partnership with HR, Finance, and Recruiting. 

• Build, mentor, and grow a high‑performing engineering team, providing technical direction, career guidance, and regular feedback. 

• Stay current with AI technologies and thoughtfully integrate them into the development toolchain with appropriate security and compliance guardrails. 

• Run day‑to‑day software operations, including sprint planning, stand‑ups, backlog management, and delivery tracking. 

• Coordinate with global and cross‑functional teams (manufacturing, supply chain, firmware, data, and leadership) to align priorities and manage dependencies. 

• Own delivery outcomes, including timelines, quality, and stakeholder communication. 

• Establish and continuously improve engineering best practices around code quality, testing, CI/CD, observability, and on‑call readiness. 

Qualifications:   

• 3+ years of hands‑on software development experience in  one of these systems -  ERP, manufacturing software, supply chain systems, or IoT platforms. 

• Experience working with modern infrastructure and tooling, including:  

• Containers (Docker) 

• CI/CD pipeline tools 

• Data streaming or event‑driven systems 

• Dashboarding, analytics, or observability tools 

• Experience managing and scaling engineering teams of 5+ people. 

• Strong understanding of distributed systems and production software operations. 

• Ability to operate effectively in fast‑paced, ambiguous startup environments. 

Bonus Qualifications: 

• Experience in the energy, industrial, or manufacturing domain. 

• Prior experience building teams and system architectures from scratch. 

• Exposure to or hands‑on experience with agentic systems or AI‑driven workflows. 

• Experience working closely with hardware, firmware, or operations teams. 

• Familiarity with supply chain concepts such as MRP, inventory planning, or shop‑floor systems. 

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options. 

DevOps Engineer

A CAREER WITH POINT72’S TECHNOLOGY TEAM

As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.

WHAT YOU'LL DO

• Work closely with our development team to understand solution architecture and build requirements to properly build CI/CD pipeline templates
• Lead the implementation and optimization of CI/CD pipelines using GitHub Actions and support our legacy Jenkins pipelines during migration
• Implement and maintain secure build chains with software supply chain security controls, including dependency scanning, SBOM generation, and artifact signing
• Partner with security teams to implement DevSecOps practices, including automated vulnerability scanning and compliance checks
• Apply DevOps best practices in areas such as automated testing, configuration management, and release management
• Collaborate with cross-functional teams to ensure seamless integration and delivery of software solutions
• Troubleshoot and resolve complex technical issues related to the SDLC platform
• Provide day-to-day support to development and operations teams, including participating in on-call rotations and incident escalation

WHAT'S REQUIRED

• 5+ years of experience in software development and operations, focused on cloud-native DevOps practices
• Deep understanding of SDLC principles, methodologies, and best practices
• Expert knowledge of Jenkins including experience using pipeline as code (Groovy) or expert knowledge of other CI/CD engines, such as TeamCity, Gitlab, and/or Github Actions
• Proficiency with infrastructure as code tools such as Terraform, CloudFormation, or Ansible
• Experience with containerization and orchestration technologies like Docker and Kubernetes
• Experience with vulnerability scanning, SAST/DAST tools, and dependency management
• Strong scripting skills including Python, Bash, and PowerShell
• Excellent communication and collaboration skills with a data-driven approach to decision-making
• Commitment to the highest ethical standards.

We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Health care benefits
• Generous parental and family leave policies
• Mental and physical wellness program
• Volunteer opportunities
• Non-profit matching gift program
• Support for employee-led affinity groups representing women, minorities and the LGBT+ community
• Tuition assistance

ABOUT POINT72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.

About the role

We are committed to providing our customers with reliable and secure services so we are expanding our central Site Reliability Engineering team. You will be responsible for building and leading processes to ensure the reliability, availability, scalability, and performance of our cloud infrastructure. You will collaborate with different teams like Control Plane, Data Plane, Core, Security, Support and Operations and guide them to design and implement scalable, secure, highly available and fault-tolerant distributed systems. You will also own the areas of incident management and response, post-mortem analysis including running blameless postmortems, and continuous improvement of our Cloud services. You will be leveraging your software engineering expertise to develop software platforms and tools to optimize the operational and engineering efficiencies of ClickHouse Cloud. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance ClickHouse Cloud.

What will you do?

• Collaborate with various engineering teams in ClickHouse to design and implement scalable, secure, and highly available systems for ClickHouse.
• Establish and manage service level objectives (SLOs) and service level agreements (SLAs) for ClickHouse Cloud.
• Ensure all the infrastructure components in ClickHouse Cloud (including Data Plane, Control Plane,ClickHouse Core, etc) have monitoring and alerting in place to ensure timely detection and resolution of incidents.
• Enhance and refine incident response processes and post-mortem analysis for any outages in ClickHouse Cloud including working with the support team to communicate to the impacted customers.
• Continuously improve the reliability and performance of our ClickHouse services.
• Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities.
• Manage on-call processes to respond to performance and reliability issues, and establish best practices for coordinating escalation to resolve issues and minimize downtime.

About you:

• Bachelor’s or Master’s degree in Computer Science or a related field.
• At least 8 years of experience in Site Reliability Engineering or a related field.
• Hands-on experience with Go and/or Python. 
• Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
• Excellent understanding of distributed databases and SQL, particularly ClickHouse is a major plus.
• Hands-on experience with container orchestration tools such as Kubernetes or Docker Swarm.
• Strong experience with automation and configuration management tools such as Ansible, Terraform, or Puppet.
• You are a strong problem solver and have solid production debugging skills.
• You are passionate about efficiency, availability, scalability, and data governance.
• You thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
• You have a high level of responsibility, ownership, and accountability.
• Excellent communication and interpersonal skills.

#LI-Remote

The role 

We’re seeking an exceptional Principal Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan from the ground up.

In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.

Key responsibilities:

• Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configuration.
• Develop automation for setup, flashing, health checks, and test execution on target hardware.

About you  

In order to set you up for success at Wayve, we’re looking for the following skills and experience.  

• 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C/C++, Bash, and Python.
  Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
  Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.
• No Japanese language required. 

Desired 

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
• Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
• Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This is a full-time role based in our office in Tokyo - we offer relocation package and visa sponsorship.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Role

In this role, you will establish and lead an engineering team dedicated to the stability and endurance of our robotics software platform. You will design systems that proactively identify vulnerabilities within our APIs, SDKs, web interfaces, and cloud-to-edge communication layers.  By simulating scenarios such as AI model inference timeouts, high network latency, data pipeline congestion, and malformed input, you will ensure the platform maintains a safe and predictable state even when the environment is not. You will guide a specialized team in developing automated frameworks that replicate real-world disruptions, thus providing a dependable infrastructure for the developers building the next generation of AI-driven robotics. This responsibility includes developing the necessary monitoring tools to gain deep insights into overall system health. As a key technical leader, you will collaborate with world-class engineering teams in Mountain View and Munich to synchronize resilience strategies and set global standards for software reliability.

How your work moves the mission forward

• Create automated resilience tests focusing on service boundaries and hybrid environments (on-prem and Cloud).
• Bolster the robustness of AI integrations by implementing failure injection within data pipelines.
• Deploy fuzzing and property-based testing techniques platform-wide to guarantee graceful degradation.
• Enhance the stability of developer tools and frontend systems against latency and service interruptions.
• Cultivate a culture of reliability through engineer mentorship in defensive programming and by spearheading global "Game Day" exercises.
• Construct observability tools to monitor and analyze holistic system health.

Skills you will need to be successful

• 4-year degree in Computer Science or equivalent professional experience.
• At least 5 years experience in software engineering. 
• Demonstrable experience with cloud computing.
• Proven ability to lead a team, providing architectural guidance and fostering professional growth for other engineers in a global setting.
• Experience with one of Go, Python, or C++.
• Strong communication skills. 

Skills that will differentiate your candidacy

• Distributed Systems Architecture: Strong experience building and debugging hybrid software environments where local runtimes interact with cloud-hosted services.
• Reliability Engineering Patterns: Deep understanding of software patterns for resilience, such as circuit breaking, retries with backoff, and bulkhead isolation.
• Automated Testing Proficiency: Expertise in creating frameworks for fault injection, property-based testing or coverage-guided fuzzing.
• Full-Stack Technical Knowledge: Competency in systems-level languages and an understanding of how to build resilient frontend interfaces.
• Infrastructure & Tooling: Hands-on experience with container orchestration (Kubernetes/Docker) and CI/CD pipelines to automate failure simulations.
• Robotics Software Experience: Hands-on experience with robotics frameworks or complex hardware-interfacing software.

The role 

We’re seeking an exceptional Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan from the ground up.

In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.

Key responsibilities:

• Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configuration.
• Develop automation for setup, flashing, health checks, and test execution on target hardware.

About you  

In order to set you up for success at Wayve, we’re looking for the following skills and experience.  

• 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C/C++, Bash, and Python.
  Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
  Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.
• No Japanese language required. 

Desired 

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
• Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
• Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This is a full-time role based in our office in Tokyo - we offer relocation package and visa sponsorship.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Summary: Join a leading DeFi protocol with high Total Value Locked (TVL) as a DevOps Engineer, ensuring 24/7 uptime and seamless operations. This role involves designing CI/CD pipelines and managing cloud security to support a robust and secure infrastructure within the fintech industry.

Responsibilities:

• Design and implement CI/CD pipelines to streamline deployment processes.
• Manage and enhance cloud security measures to protect against potential threats.
• Ensure 24/7 system uptime and reliability for a major DeFi protocol.
• Collaborate with cross-functional teams to implement best practices in DevOps and security.
• Monitor and optimize system performance and cost-efficiency.
• Automate infrastructure provisioning using tools like Terraform.

Required Skills:

• Mastery of Docker, Kubernetes (K8s), and Terraform.
• Proven experience in a fintech environment with high security standards.
• Strong expertise in cloud security and CI/CD pipeline design.
• Excellent problem-solving skills and attention to detail.
• Ability to work in a high-paced, 24/7 operational environment.

About the role 

We are seeking an experienced Machine Learning Lead to helm our Machine Learning team. 

In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team). 

Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction. 

Key Responsibilities

1. Model Development & Optimization (Training & Fine-tuning):

• Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). 
• Fine-tuning & Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents.
• Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 

2. MLOps& Data Infrastructure: 

• Enhance & Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. 
• Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets.
• Monitoring & Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment.

3. Cross-Functional Implementation & Leadership:

• Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. 
• Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence.
• Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 

4. Technical Strategy & Stakeholder Management:

• Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. 
• Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. 

Qualifications

• Experience: 5+ years in Machine Learning Engineering, with specific experience in leading technical projects or mentoring engineers.
• Communication & Business Acumen: Exceptional ability to distill complex technical topics (e.g., compute complexity, infrastructure costs) into clear, business-relevant insights for decision-makers.
• MLOps Proficiency: Proven experience in optimizing ML pipelines and infrastructure. Familiarity with tools like MLflow, Kubeflow, Airflow, and Data Versioning tools (DVC, etc.).
• Engineering First: Proficient in Python, Docker, and Kubernetes. You treat ML models as software artifacts that need testing and version control.
• NLP & LLM Expertise: Experience with Transformer architectures, Embeddings, and LLM fine-tuning. Familiarity with frameworks like PyTorch, Hugging Face, and vLLM.
• Language Support: Experience processing or fine-tuning models for multi-lingual environments. 

Nice to Have

• Multimodal Expertise: Experience working with Multimodal models (Image-to-Text, Text-to-Image, VLMs like CLIP, LLaVA).
• Security Awareness: Understanding of GenAI security threats (e.g., Prompt Injection).
• High-Performance Computing: Experience optimizing inference speed (quantization, distillation, vLLM) for real-time applications.
• Vector Database: Experience with Vector DBs for RAG applications. 

Why Join Us? 

• Innovative Environment: Be part of a company at the forefront of technology to provide security in GenAI, with opportunities to work on groundbreaking projects. 
• Growth Opportunities: Take your career to new heights with our career development programs and growth-focused culture. 
• Dynamic Team: Join a multi-cultural and dynamic team of dedicated professionals who inspire and support each other. 
• Compensation: Competitive salary and benefits package, commensurate with experience and performance. 

Application Process 

• If you're ready to embark on this exciting journey and contribute to shaping the future of GenAI security, please submit your resume outlining your relevant experience and motivation for applying.
• If you prefer a direct connection or have specific questions about our vision, feel free to reach out to our Co-founder, Alvin Kwock, via LinkedIn. 

Who We Are:

Dynamite Games is at the forefront of creating unparalleled gaming experiences for digital natives and the next generation of gamers. Our commitment to innovation and quality drives us to develop games that are not only visually stunning but also deeply engaging. Leveraging cutting-edge technology, we strive to deliver experiences that resonate with modern gamers, offering unique narratives and immersive gameplay.

What We Need:

We’re looking for a hands-on DevOps Engineer to support and scale our cloud infrastructure. You’ll work closely with senior team members to manage cloud platforms, implement Infrastructure as Code (IaC), monitor performance, and streamline deployments through CI/CD pipelines. If you're passionate about cloud technologies, Kubernetes, and automation—and thrive in a collaborative, fast-moving environment—we want to hear from you.

Key Responsibilities:

• To work with Senior DevOps Engineer/Lead DevOps Engineer to manage and operate infrastructure platforms on cloud.
• Monitoring k8s for performance, availability, and resource utilization.
• Participating in on-call rotations and providing support during off-hours.
• Documenting processes, procedures, and configurations to ensure knowledge sharing and maintainability.
• Assisting in the deployment, configuring, and management of Kubernetes resources.
• Troubleshooting and resolving cloud infrastructure and deployment-related issues in a timely manner.
• To monitor system performance and reliability, identifying and addressing issues proactively.
• Supporting infrastructure as code (IaC) practices using tools like Terraform.
• Deploy and manage solutions on cloud with CI/CD pipelines.
• Any other ad hoc assignment as required.

Who We Think Will Be A Great Fit:

• Bachelor’s degree or higher diploma in Information Technology or related discipline.
• At least 2 years of hands-on experience as DevOps engineer.
• Familiarity with at least one programming/scripting language such as Python, Bash, or PowerShell.
• Working knowledge in any of the following infrastructure automation tools: Terraform, Chef, or CloudFormation.
• Hands-on experience with cloud providers such as AWS, Google Cloud, etc. (Preferably with AWS)
• Experience in administering any CI/CD tools such as Jenkins, ArgoCD, GitLab, or TeamCity.
• Experience with containerization technologies like Docker, EKS and Kubernetes.
• Solid understanding of Linux/Unix operating systems and command-line tools.
• Excellent communication skills and a team player.
• Able to fulfil standby duty for off-hours support.
• Good problem-solving and troubleshooting skills.
• Any DevOps Professional Certifications will be a plus.

We are representing a leading force in the decentralized exchange (DEX), and seeking a high-caliber technical leader to architect the backbone of a global financial ecosystem. In this role, you will bridge the gap between complex blockchain environments and high-availability cloud infrastructure. Reporting to the Director of Engineering, you will be empowered to drive reliability, performance, and security for a platform handling institutional-grade volume. This is an opportunity for a "builder" to own the infrastructure lifecycle in a lean, high-velocity engineering culture.

Core Responsibilities

• Infrastructure Architecture: Design, optimize, and manage multi-region Kubernetes clusters and core platform services to support massive scale.

• System Resiliency: Lead the site reliability strategy from initial design through deployment, ensuring the platform remains robust and secure against global demands.

• Engineering Mentorship: Act as a subject matter expert for the broader software engineering team, instilling best practices and evolving internal development processes.

• Rapid Incident Response: Own production stability by leading incident resolution efforts, maintaining industry-leading uptime, and optimizing system performance.

• Strategic Growth: Partner with senior leadership to scale an adaptable, high-output infrastructure team while aligning technical resources with business goals.

Professional Requirements

• High-Stakes SRE Experience: Significant background in Site Reliability Engineering within complex, multi-datacenter environments where uptime and performance are mission-critical.

• Modern Tooling Mastery: Expert-level proficiency in AWS, Kubernetes, Terraform, and Docker, with a strong software engineering foundation.

• Security-First Mindset: Deep expertise in securing sophisticated cloud network architectures and protecting sensitive financial data.

• Advanced Infrastructure Knowledge: Proven experience with low-latency systems, multi-cloud strategy, and the HashiCorp stack (Vault, Consul, etc.).

• Technical Leadership: Demonstrated ability to lead high-impact projects and mentor engineers in a fast-paced, collaborative environment.