Total 19 job vacancies by Evolution

Key Responsibilities

Cloud Infrastructure & Automation

• Design, deploy, and maintain cloud environments on AWS or GCP.
• Develop and manage infrastructure using Infrastructure-as-Code tools such as Terraform or similar technologies.
• Implement secure networking architectures, including VPCs, private connectivity, VPNs, peering, and network segmentation.
• Establish scalable multi-environment and multi-account cloud strategies.

Container Platform & Kubernetes

• Build and manage Kubernetes environments for production workloads.
• Configure cluster security, RBAC, autoscaling, workload isolation, and governance controls.
• Create standardized deployment frameworks for microservices, backend services, and AI-related workloads.
• Support both real-time and batch processing environments.

CI/CD & Release Automation

• Design and optimize CI/CD pipelines to streamline software delivery.
• Implement automated testing, deployment validation, and release management processes.
• Support deployment strategies such as blue-green, canary, and phased rollouts.
• Improve developer productivity through automation and deployment standardization.

Observability & Site Reliability

• Implement monitoring, logging, tracing, and alerting solutions.
• Define service reliability metrics, performance objectives, and operational standards.
• Support incident response processes, root-cause analysis, and continuous service improvement.
• Develop operational runbooks and support on-call readiness.

Security & DevSecOps

• Strengthen cloud security through identity and access management best practices.
• Manage secrets, certificates, and sensitive configuration securely.
• Implement vulnerability scanning, dependency analysis, and container security controls.
• Enforce security policies through automation and governance frameworks.
• Support audit readiness and compliance requirements.

AI/ML Platform Support

• Collaborate with data science and machine learning teams to operationalize AI solutions.
• Support model deployment, inference services, batch processing, and ML infrastructure.
• Monitor performance, availability, and resource consumption of AI workloads.
• Contribute to platform capabilities that improve AI product scalability.

Cost Optimization

• Monitor cloud spending and resource utilization.
• Implement tagging, budgeting, and optimization initiatives.
• Drive efficiency improvements without compromising performance or reliability.

Developer Experience

• Build self-service infrastructure capabilities and reusable engineering templates.
• Improve internal tooling and automation workflows.
• Maintain clear technical documentation and operational guidelines.
• Help create a smooth developer experience across engineering teams.

Requirements

Essential Skills & Experience

• Minimum 4 years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or related infrastructure roles.
• Strong hands-on experience with AWS or Google Cloud Platform.
• Proven expertise with Infrastructure-as-Code tools, preferably Terraform.
• Solid Kubernetes administration and containerization experience (Docker, Helm, Kustomize, etc.).
• Strong knowledge of CI/CD pipelines and modern software delivery practices.
• Good understanding of Linux systems, networking, and automation scripting using Python and/or Bash.
• Experience implementing monitoring, logging, and observability solutions.
• Strong understanding of cloud security principles, IAM, secrets management, and infrastructure hardening.
• Ability to collaborate effectively with software engineers, product stakeholders, and technical leadership.
• Strong documentation and communication skills.

Preferred Qualifications

• Experience with GitOps practices and tools such as ArgoCD or Flux.
• Exposure to policy-as-code and infrastructure testing frameworks.
• Familiarity with data engineering or machine learning ecosystems.
• Experience working with distributed systems, streaming platforms, or large-scale data processing technologies.
• Knowledge of enterprise compliance, governance, and security review processes.
• Exposure to reliability engineering practices such as resilience testing or disaster recovery exercises.

Responsibilities

• Serve as the primary technical point of contact for customers using Silicon Photnics (SiPh) test solutions.
• Provide post-sales technical support, including installation, ramp up, optimization, troubleshooting, and ongoing customer support.
• Work closely with customer engineering and test teams to ensure successful deployment and operation in R&D, NPI, and manufacturing environments.
• Support technical discussions, evaluations, demonstrations, and solution recommendations during the pre-sales process.
• Collaborate with internal sales, applications, service, and engineering teams to resolve technical issues and deliver customer success.

Requirements

• Bachelor's Degree in Electrical Engineering, Photonics, Physics, Semiconductor Engineering, or a related discipline.
• 3+ years of experience in Solutions Engineering, Applications Engineering, Test Engineering, or related semiconductor roles.
• Handson experience with Silicon Photonics (SiPh), optical test solutions, or photonics-based technologies.
• Strong understanding of optical and electrical testing, test automation, and system integration.
• Customer facing experience with strong troubleshooting, communication, and stakeholder management skills.
• Experience supporting semiconductor customers, including foundries, IDMs, or OSATs, is preferred

Key Responsibilities

Product Design & Development

• Lead the mechanical design and development of new products and product enhancements.
• Create innovative concepts and translate them into detailed mechanical designs.
• Develop modular hardware architectures and reusable design solutions.
• Design complex mechanical systems, assemblies, and mechanisms while balancing performance, cost, manufacturability, and reliability.
• Convert product and customer requirements into practical engineering solutions.

Engineering Analysis & Validation

• Perform engineering calculations and technical analyses on components and assemblies.
• Identify technical risks early and develop effective mitigation plans.
• Develop and execute testing strategies, validation plans, and prototype evaluations to verify design performance.
• Ensure quality and reliability considerations are incorporated throughout the design process.

Project Execution

• Manage mechanical development schedules and deliverables for assigned projects.
• Support project planning activities and ensure designs are delivered on time and within budget.
• Collaborate with stakeholders to define product specifications and technical requirements.
• Drive continuous improvement initiatives and contribute to value engineering efforts.

Manufacturing & Production Support

• Work closely with manufacturing teams to support product industrialization and production readiness.
• Provide expertise in manufacturing processes including injection molding, machining, sheet metal fabrication, assembly, and related production methods.
• Troubleshoot manufacturing and product performance issues and implement design improvements when required.

Cross-Functional Collaboration

• Partner with Electrical, Firmware, Software, Manufacturing, Quality, and Product teams throughout the product development cycle.
• Participate in design reviews and contribute to multidisciplinary problem-solving efforts.
• Mentor and provide technical guidance to junior engineers where appropriate.

Requirements

Education & Experience

• Bachelor's degree in Mechanical Engineering or a related discipline.
• 8+ years of experience in mechanical product design and development.
• Proven experience taking products from concept and prototype stages through to mass production.

Technical Expertise

• Strong understanding of mechanical engineering principles and product development methodologies.
• Experience designing complex mechanisms such as:Gear trainsClutchesCamsLinkagesMotion-control systems
• Knowledge of electro-mechanical systems, including:MotorsSensorsPower transmission components
• Hands-on experience designing:Plastic componentsSheet metal partsDie-cast componentsRubber componentsMechanical assembliesElectro-mechanical assemblies
• Proficiency with SolidWorks and/or other 3D CAD tools.
• Familiarity with simulation and analysis tools (FEA preferred).
• Strong understanding of GD&T (Geometric Dimensioning & Tolerancing).

Preferred Qualifications

• Knowledge of Design of Experiments (DOE) and Six Sigma methodologies.
• Experience with:DFMEA (Design Failure Mode & Effects Analysis)Design for Manufacturing (DFM)Design for Assembly (DFA)Structured product evaluation and decision-making methodologies

About the Role

We are looking for an experienced mid-Senior Backend Developer responsible for building and scaling cloud-native backend services that power mission-critical AI products. This role is ideal for engineers who are comfortable designing cloud-oriented systems using modern engineering practices, and who have strong foundations in distributed systems and multi-threaded programming. You will work closely with product, frontend, and platform teams to deliver highly reliable, scalable, and secure backend systems in a fast-paced, agile environment.

Responsibilities

• Design and build cloud-native backend services and APIs that are scalable, secure, and production-ready.
• Develop and maintain backend components using C# / .NET (preferably .NET 8) following modern engineering standards.
• Contribute to system architecture for distributed systems, including service-to-service communication, resilience, and scalability patterns.
• Build systems that handle concurrency and multi-threading safely and efficiently (e.g., async patterns, thread safety, race conditions, performance tuning).

Requirements

• Min 3+ years of backend engineering experience with strong hands-on expertise in C# and .NET Core (V6 and above).
• Strong experience designing and building RESTful APIs and backend services.
• Proven ability to build cloud-oriented systems (AWS/Azure/GCP) using modern practices such as containerization, infrastructure awareness, and CI/CD.
• Solid understanding of distributed systems fundamentals and multi-threading / concurrency concepts.
• Strong SQL knowledge and experience with relational databases.

Overview

Seeking experienced R&D Engineers to develop and optimize processes across Lithography, Coating/Slit-Coating, CMP, Plating, and Simulation for advanced semiconductor or substrate technologies.

Responsibilities

• Develop and optimize processes to improve yield, uniformity, and reliability
• Perform root cause analysis and resolve process defects
• Use DOE/SPC and data analysis to control key parameters
• Support process integration, NPI, and scale-up to manufacturing
• Collaborate with cross-functional teams (process, equipment, materials)
• Apply simulation/modelling (e.g., CFD) where relevant to optimize processes

Requirements

• Master’s or PhD in Engineering or related field
• 5–10+ years in semiconductor / substrate / advanced manufacturing
• Strong expertise in atleast one:LithographyCoating / Slit-CoatingCMPPlatingSimulation
• Experience with OE, SPC, aDnd process troubleshooting
• Familiar with advanced packaging (e.g., ABF, SAP, Damascene)

About the Role

This role sits within a fast-moving, mission‑critical services environment supporting cloud, colocation, and enterprise customers in Singapore. The position focuses on service sales, account ownership, and lifecycle solutions, requiring strong responsiveness, independence, and customer engagement.

You will work closely with sales, application, operations, and project teams to support existing customers and drive service and replacement opportunities.

Job Details

• Manage a portfolio of ~15–20 Singapore-based customers across enterprise, colocation, and hyperscale segments
• Drive service sales including maintenance contracts, spare parts, repairs, and equipment replacement
• Prepare quotations and proposals, and respond promptly to customer requests to meet SLA expectations
• Conduct site visits (4–5 per month) to build rapport, identify opportunities, and support account growth
• Coordinate internally with cloud & colo sales, enterprise sales, application, operations, and project teams

Job Requirements

• Minimum 3 years’ experience in a similar industry (data centre, ACMV, HVAC, mission‑critical services, or technical service sales)
• Fast learner who is proactive, independent, and able to operate without close supervision
• Comfortable working in a SLA‑driven environment with rapid response expectations
• Sales‑oriented mindset with strong customer communication and follow‑up discipline
• Sufficient technical understanding to confidently explain and sell service solutions and equipment

Overview

We are looking for a hands-on Senior Equipment Engineer to support equipment reliability, maintenance, and optimization within a high-tech manufacturing environment. This role plays a key part in ensuring tool uptime, process stability, and smooth production operations.

Responsibilities

• Perform troubleshooting and root cause analysis on equipment issues and process deviations
• Execute preventive and predictive maintenance to minimize downtime
• Monitor and improve equipment performance, uptime, and throughput
• Support yield improvement and process stability initiatives with cross-functional teams
• Ensure equipment readiness for new product introduction (NPI) and process qualification
• Maintain equipment documentation, logs, and spare parts inventory
• Ensure compliance with EHS, safety, and cleanroom standards
• Support audits and drive corrective actions where required

Requirements

• Bachelor’s degree in Mechanical / Electrical / Mechatronics Engineering or related field
• 5–10 years of experience in equipment engineering within semiconductor, substrate, or PCB manufacturing
• Hands-on experience with equipment such as:Wet benches, plating toolsCoaters / developersLamination presses, laser drills, vacuum ovens
• Strong experience in troubleshooting and root cause analysis (e.g., 5 Whys, Fishbone)
• Familiar with TPM, FMEA, and reliability engineering practices
• Knowledge of substrate technologies (e.g., SAP, ABF, Damascene) is an advantage

Our client is an early-stage technology company building a data-driven platform that supports financial institutions, large corporates, and small to medium-sized businesses.

They are currently expanding their Singapore engineering team and are looking for a Software Engineer to join a lean, collaborative environment where engineers are expected to contribute across the stack and work closely with the business. This is a hands-on full-stack role with strong exposure to product thinking, architecture discussions, and end-to-end ownership.

The role would suit someone with a solid technical foundation who enjoys startup environments, is comfortable working independently, and is open to gradually taking on greater ownership over time, including the possibility of moving into a lead role in future.

Job Description

• Build and enhance product features across the full stack, covering front-end, back-end, and related engineering workflows
• Contribute to technical design and architecture discussions with the CTO and wider engineering team
• Develop scalable, secure, and maintainable software solutions for enterprise and financial services-related use cases
• Work closely with product stakeholders to turn business requirements into practical technical solutions
• Take ownership of deliverables in a lean startup environment with a strong emphasis on autonomy and collaboration
• Contribute across different parts of the platform, including application development, infrastructure, and engineering processes where needed
• Use modern development tools and AI-enabled workflows to improve productivity and delivery speed
• Support continuous improvement of engineering practices, code quality, and technical standards
• Operate effectively in an environment with changing priorities and evolving product needs
• Grow into broader ownership over time, with the opportunity to step into a lead capacity in future

Job Requirements

• Strong hands-on software engineering experience, ideally in full-stack JavaScript development
• Good technical foundation across application development, system design, and software engineering best practices
• Experience working in a startup, scale-up, or fast-paced product environment is preferred
• Comfortable working autonomously and taking ownership in a lean team setup
• Open to growing into a lead role over time, though prior team leadership experience is not required
• Able to contribute across different layers of the stack rather than being limited to a narrow technical area
• Strong collaboration and communication skills, especially when working closely with product and business stakeholders
• Pragmatic and business-minded approach to engineering, with a focus on solving real problems
• Familiarity with AI tools or LLM-enabled workflows such as ChatGPT, Claude, Copilot, or similar would be an advantage
• Prior exposure to data products, fintech, banking-related platforms, or SME-focused products would be beneficial

Overview
We are hiring a React Native Mobile Developer to build and maintain high-quality Android and iOS applications. You will collaborate with cross-functional teams to deliver scalable, user-centric mobile solutions.

Responsibilities

• Develop, test, and maintain mobile apps using React Native (TypeScript)
• Optimize performance across devices
• Collaborate with product, design, and engineering teams
• Participate in code reviews and production support
• Translate UI/UX designs into functional applications

Requirements

• Degree in Computer Science or related field
• Strong experience with React Native, React.js, TypeScript
• Knowledge of REST APIs, Git, CI/CD pipelines
• Understanding of UI/UX principles and mobile optimization

Nice to Have

• Native mobile (Android/iOS) or Expo experience
• Backend exposure (Java, Go, Python, etc.)
• Experience in fintech, trading, crypto, or Web3

Overview
We are looking for a Senior Data Engineer to lead the design and delivery of scalable data platforms across Data Warehouse, Data Lake, and Big Data environments.

Responsibilities

• Lead architecture, design, and implementation of data solutions
• Develop and optimize data models for performance and scalability
• Translate business requirements into technical solutions
• Oversee project delivery, timelines, and technical quality
• Mentor team members and enforce best practices
• Drive data governance and continuous improvement initiatives

Requirements

• 5+ years in Data Engineering / Data Analytics / Big Data
• Strong expertise in data modelling (Kimball, Data Vault, 3NF)
• Proficiency in SQL, Python (Java/Scala is a plus)
• Experience with ETL/ELT, cloud data platforms (AWS/Azure/GCP, Snowflake)
• Exposure to enterprise-scale architecture and delivery
• Strong stakeholder management and leadership experience

Nice to Have

• Docker / Kubernetes, Linux environments
• Data governance, data quality, MDM experience

Role Overview

This role leads the architecture, design, and delivery of enterprise-scale data platforms across Data Analytics, Data Warehouse, Data Lake, and Big Data. You will act as the technical authority on data modelling and platform design, while managing and mentoring a data engineering team and engaging closely with clients and senior stakeholders.

This is a hands-on technical leadership role, not a pure people manager or delivery coordinator.

Key Responsibilities

• Lead architecture and implementation of end-to-end data platforms (DW, Data Lake, Analytics, Big Data)
• Design and govern conceptual, logical, and physical data models to ensure performance, scalability, and data integrity
• Own and enforce data modelling standards, governance frameworks, and best practices
• Manage, mentor, and guide a technical team; ensure code quality and architectural consistency
• Translate business requirements into technical designs and data roadmaps
• Oversee project execution across the full SDLC (scope, resources, timelines, delivery)
• Act as technical escalation point for complex or critical issues
• Drive R&D and upskilling in modern data engineering tools and patterns

What We’re Looking For

• 5+ years’ experience in Data Analytics / Data Engineering / Data Warehouse / Data Lake
• Strong leadership or technical management experience
• Expert-level data modelling knowledge (Kimball, Star/Snowflake, Data Vault, 3NF)
• Proven experience delivering enterprise-scale data architectures
• Strong performance tuning and optimisation experience
• Hands-on expertise in SQL & Python (Java/Scala highly valued)
• Solid experience with ETL/ELT, cloud data platforms (Snowflake / AWS / Azure / GCP)
• Strong stakeholder management and client-facing communication skills

Nice to have

• Linux/Unix, Docker, Kubernetes
• Data Governance, Data Quality, MDM experience

This Role Is NOT

• A reporting-only or BI analyst role
• A pure people manager with no technical depth
• A junior data engineering role

Overview

You will develop the required platform automations, processes, toolchain and policies/best practices to enable government agencies to develop, deploy and operate government services on the cloud in an agile yet secure manner.

Responsibilities:

• Design, engineer, and automate the lifecycle of OpenShift clusters, treating infrastructure as software.
• Develop robust automation for cluster provisioning, upgrades, and scaling using Ansible, Terraform, or Python.
• Implement and maintain OpenShift components such as OVN-Kubernetes networking and OpenShift Data Foundation (ODF) storage.
• Engineer reliability and performance optimizations to ensure high availability of the container platform.
• Implement GitOps workflows for cluster configuration management.

Requirements:

• Experience: Intermediate: 3+ years
• Strong expertise in Red Hat OpenShift and Kubernetes internals.
• Proficiency in scripting and automation using Bash or Python.
• Experience with Infrastructure as Code (IaC) tools like Terraform or Ansible.
• Knowledge of storage (Ceph/ODF) and networking (SDN, OVN) in a containerized environment.
• Familiarity with GitOps principles and tools.

Our client - a fast-growing startup in the AI space is looking to hire a Security Engineer. This role focuses on strengthening the company’s overall security posture, identifying gaps, designing practical solutions, and helping shape a more robust security function as the business grows.

Key responsibilities

• Assess the current security landscape across cloud infrastructure, applications, and engineering practices, and identify areas of weakness or improvement
• Design, implement, and improve security controls across cloud-based systems and AI-related environments
• Strengthen the overall security architecture for infrastructure, applications, and internal platforms
• Support and enhance the company’s existing security and compliance posture, including ISO 27001 and SOC 2 Type II
• Build and maintain processes, documentation, and controls to ensure ongoing audit readiness
• Serve as the main point of contact for customer-facing security discussions, including security questionnaires, due diligence requests, and assurance reviews
• Support security monitoring and help identify suspicious activity or potential threats
• Contribute to incident response preparedness and security response processes
• Participate in penetration testing, vulnerability assessment, and remediation follow-up
• Work closely with engineering and product teams to integrate security into the software development lifecycle
• Promote secure CI/CD practices and secure-by-design approaches across development workflows
• Support data protection and privacy measures, including access controls, encryption, reduction of unnecessary data exposure

Requirements

• Around 3+ years of experience in security engineering or a related cybersecurity role
• Experience working in SaaS, cloud-native, startup environments, or companies building security products / solutions is highly relevant
• Strong hands-on technical security capability, with the ability to identify gaps, recommend solutions, and help design or architect improvements
• Familiarity with security compliance, audits, or assurance frameworks such as SOC 2 and ISO 27001
• Good understanding of cloud and infrastructure security concepts
• Familiarity with areas such as identity and access management, containerized environments, infrastructure as code, and secure software delivery practices
• Able to communicate technical security concepts clearly to both technical and non-technical audiences
• Comfortable handling customer-facing security discussion with professionalism and credibility
• Awareness of security risks in AI-enabled products, including concerns such as: Data leakage, Prompt-based misuse or abuse
• Strong mindset around privacy, data protection, and responsible handling of sensitive information
• Comfortable operating in a fast-moving, high-growth environment
• Experience in offensive security, red teaming, or penetration testing would be a strong advantage

Job Objectives:
The specialized First Recovery IT Production Support Engineer is responsible to support application wellness in production, investigate production issue raised, and respond to user with feasible workaround. Closely follow-up and monitor issue from investigation, pass relevant details to L2/L3 team. Clarify user queries. Make sure system availability as per SLA across countries for multiple applications / interfaces. Perform scheduled health check tasks across applications and raise alerts in case required.

Able to work in shift-based environment, support implementations during a bank’s green zone.

Key Responsibilities:

• Investigate production issues, respond based on production defect severity SLAs.
• Manage and respond to users on timely manner.
• Log incident ticket for production issues and user queries
• Follow up on defect and incident closure and meet incident closure KPI.
• Make sure system availability as per respective agreed SLA.
• Ensure daily start of day (SOD) and end of day (EOD) execution for supported applications complete successfully.
• Provide support for annual Disaster Recovery (DR) exercise for supported applications.
• Provide support to System Engineers on server level patches / upgrade as and when applicable.
• Knowledge with 3rd party monitoring tools like Control-M, Genos, Splunk, SQL Monitor
• Knowledge with Market Data, and Genos monitoring setup and dashboard configuration
• Ensure application incident & task documentation is properly updated for each production release.
• Enthusiastic, hardworking, proactive and goal-oriented, with excellent communication and presentation skills, demonstrated professionalism and attention to detail.
• Proven ability to work and resolve production incidents under strict time constraints and provide workarounds using AS400/mainframe or Unix shell or DB scripts etc.
• Strong skills in AS400, Linux/Unix Shell scripting, MS SQL, Oracle, BMC Control-M Scheduler
• Good to have understanding and experience of ITIL methodology [service operation]

Key Requirements:

• Prior hand-on production support experience of OPEN Systems/AS4000
• Good support knowledge in either one of the retail or wholesale payment or customer information systems
• Willing to work in onsite shift-support model [24*7]
• Hands-on experience in writing AS400 and SQL queries and parsing logs for issue investigation
• Hands-on experience in writing shell scripts (UNIX) and optimize incidents investigation.
• Strong written, oral communication skills and able to manage user.
• Ability to easily adopt to any technology / environment.
• 2 or more years’ production support experience in bank or financial vendors across multiple technologies / platform
• Be able to work in fast pace and high-pressure working environment.
• Willingness to work across platforms – UNIX / open, AS/400 and mainframe

This role is responsible for leading the design and implementation of modern data platforms and analytics solutions for enterprise environments. The person in this position will help define technical architecture, guide delivery teams, and work closely with stakeholders to turn business requirements into scalable and practical data solutions.

Key Responsibilities

• Lead the architecture and implementation of data solutions across areas such as analytics platforms, data warehouses, data lakes, and large-scale data ecosystems
• Design and maintain conceptual, logical, and physical data models that support scalability, performance, and long-term maintainability
• Provide technical leadership to engineering teams through mentoring, solution guidance, and review of development quality
• Partner with business and project stakeholders to translate functional requirements into technical designs and implementation approaches
• Oversee end-to-end project execution, ensuring deliverables, priorities, and timelines are effectively managed
• Define and promote best practices in data engineering, modelling, governance, and development standards
• Serve as a senior technical point of contact for stakeholders when resolving issues or addressing complex technical topics
• Support continuous improvement by exploring new technologies, methods, and ways to strengthen the team’s delivery capability

Requirements

• Degree or diploma in Computer Science, Information Technology, or a related field
• 5+ years of relevant experience in data engineering, data warehousing, analytics platforms, data lakes, or big data environments, including experience leading or managing technical teams
• Strong knowledge of data modelling methodologies such as dimensional modelling, Kimball, star schema, snowflake schema, Data Vault, and third normal form
• Experience optimizing data structures and queries for performance across different database platforms
• Proven experience delivering enterprise-scale data projects with ownership of solution design and technical direction
• Strong hands-on skills in SQL and Python; exposure to Java or Scala would be an advantage
• Demonstrated ability to lead engineers, allocate work, and develop junior team members
• Familiarity with Linux or Unix environments, as well as container technologies such as Docker or Kubernetes, is beneficial
• Good understanding of ETL/ELT concepts and experience with modern cloud data platforms such as Snowflake or similar technologies on AWS, Azure, or Google Cloud
• Exposure to data governance, data quality, or master data management would be useful
• Strong communication skills with the ability to engage both technical and non-technical stakeholders effectively