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

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 Senior Data Engineer on our Data Experience team, you will play an integral role in bringing vendor datasets into our data platform, governing our centralized data pipelines, consolidating data delivery infrastructure across disparate systems, and working alongside individual Traders, Quantitative Researchers, and Back-Office personnel to best utilize the firm’s data and platform tools.

Technical requirements summary:

• Have extensive experience designing and building data pipelines
• Have experience working within modern batch and streaming data ecosystems
• An expert in SQL and Java or Python
• Extensive knowledge of data modeling techniques
• Able to own the delivery of data products, working with analysts and stakeholders to understand requirements and implement solutions
• Able to contribute to project management and project reporting
• Have experience driving nontrivial data migrations across platforms
• Able to establish, follow, and enforce data modeling standards across a large ecosystem.

What you will do in this role:

• Model, build, and manage data products built atop DRW’s Unified Data Platform.
• Work closely with Data Strategists to determine appropriate data sources and implement processes that onboard and manage new datasets for trading, research, and back-office purposes.
• Design data governance processes that enable discovery, cost-sharing, usage tracking, access controls, and quality control of datasets to address the needs of DRW trading teams and strategies.
• Continually monitor data ingestion pipelines and data quality to ensure stability, reliability, and quality of the data. Design monitoring and quality control software and processes.
• Own the technical aspects of vendor ingestion pipelines, coordinating with vendor relationship managers on upcoming changes, performing routine data operations without breaking internal users, and contributing to the team’s on-call rotation to respond to unanticipated changes.
• Rapidly respond to user requests, identifying platform gaps, and self-service opportunities that make the user experience more efficient.

What you will need in this role:

• 7+ years of experience working with modern data technologies and building data-first products.
• Excellent written and verbal communication skills.
• Proven ability to work in a collaborative, agile, and fast-paced environment, prioritizing multiple tasks and projects, and efficiently handle the demands of a trading environment.
• Proven ability to deliver rapid results within processes that span multiple stakeholders.
• Strong technical problem-solving skills.
• Extensive familiarity with SQL and Java or Python, with a proven ability to develop and deliver maintainable data transformations for production data pipelines.
• Experience leveraging data modeling techniques and ability to articulate the trade-offs of different approaches.
• Experience with one or more data processing technologies (e.g. Flink, Spark, Polars, Dask, etc.).
• Experience with multiple data storage technologies (e.g. S3, RDBMS, NoSQL, Delta/Iceberg, Cassandra, Clickhouse, Kafka, etc.) and knowledge of their associated trade-offs.
• Experience with multiple data formats and serialization systems (e.g. Arrow, Parquet, Protobuf/gRPC, Avro, Thrift, JSON, etc.).
• Experience managing data pipeline orchestration systems (e.g. Kubernetes, Argo Workflows, Airflow, Prefect, Dagster, etc.), delving deeply into low-level details.
• Proven experience in managing the operational aspects of large data pipelines such as backfilling datasets, rerunning batch jobs, monitoring event throughput, and handling dead-letter queues.
• Prior experience triaging data quality control processes, correcting data gaps and inaccuracies.

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.

We are seeking a Network Security Engineer to join the network security team to ensure that our infrastructure and networks are properly protected. They will design, coordinate and implement security controls, audit configurations, and design networks in a hybrid compute environment. A successful candidate will have an attention to detail, the ability to understand what impacts their changes have on the network and relevant associated services.   

What you’ll be doing:

• Collaborate with cross-functional security, technology, and trading teams to design and deploy innovative solutions that enhance both system integrity and trading performance.
• Actively contribute to the design, implementation, and maintenance of mission-critical trading infrastructure that drives resilient and scalable market operations.
• Implement robust strategies to reduce network risks by leveraging micro-segmentation, port-based security, and other innovative methods.
• Evaluate, diagnose, and implement effective network security solutions such as firewalls, network detect and response, intrusion prevention systems (IPS), and VPN concentrators to improve our network security and ensure reliable remote access.
• Leverage automation, AI, and other emerging and innovative technologies to continuously enhance our ability to detect and respond to security events.
• Perform in-depth analysis of network packet captures to investigate security incidents and identify areas for improvement.
• Continuously seek opportunities to automate tasks and streamline security operations for improved efficiency and effectiveness.

  What we’re looking for:

• You are passionate about solving complex problems that enable our company to securely connect from anywhere globally to facilitate new business opportunities.
• You are a network security engineer who thrives on designing, implementing, and supporting cutting-edge security systems that keep our network safe from emerging threats.
• You can get your hands dirty with hands-on experience in firewalls, client VPNs, SASE, NDR, and IDS solutions.
• You enjoy scripting and coding to automate processes and reduce repetitive work
• You have a solid understanding of TCP, UDP, IP, the OSI Model, and Layer 1-4 & 7 principles and security protocols.
• You are a dedicated professional who isn’t afraid of stepping up for on-call duties—even if it means working nights or weekends
• You are someone that continuously seeking innovative improvements to drive high-quality, state-of-the-art, and effective security solutions.
• You are an effective communicator, able to translate complex technical insights into clear, actionable strategies that resonate with cross-functional teams.

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

Job qualifications

Other things to know

About Thoughtworks

#LI-Remote

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

#LI-Remote

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

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.

An overview of this role

As a Staff Forward Deployed Engineer at GitLab, you will work at the intersection of customer outcomes, product direction, and hands-on engineering. This role is focused on strategic accounts in the APJ region, where you will help customers adopt GitLab and the GitLab Duo Agent Platform in complex enterprise environments, including self-managed, regulated, and constrained deployments. You will guide deep technical discovery, design practical adoption paths, and build reusable solutions that help customers move from early platform use into broader CI/CD, security, compliance, and AI-enabled workflows.

This is not a traditional consulting role centered on one-off delivery. Instead, you will use customer issues to create durable technical assets, shape architecture patterns, and influence upstream product and engineering decisions when field needs point to a broader solution. Your work will help reduce time to value for strategic customers while improving how GitLab scales adoption across similar environments.

Some examples of our projects:

• Building a regulated-environment deployment accelerator for GitLab Duo Agent Platform in self-managed or constrained environments
• Authoring reusable reference architectures for AI Gateway, identity, runners, network boundaries, model connectivity, and governance controls
• Identifying a geo-replication gap in a self-managed deployment, tracing it to a root cause in Gitaly or the git backend, and contributing a targeted code or design change upstream

What you’ll do

• Conduct deep technical discovery in selected strategic accounts to assess platform readiness, evaluate constraints, and identify high-value adoption opportunities across GitLab and GitLab Duo Agent Platform.
• Lead architecture and delivery design for complex enterprise environments where platform migration, regulated requirements, and product boundaries intersect.
• Partner with customer stakeholders and GitLab account teams to prioritize use cases based on business impact, technical feasibility, repeatability, and long-term platform value.
• Design and build bounded proofs, prototypes, deployment patterns, and reusable accelerators across source code management, CI/CD, security, compliance, and AI-enabled workflows.
• Architect self-managed and enterprise deployments, including runners, access controls, network boundaries, observability, AI Gateway, model connectivity, and governance controls.
• Turn recurring field patterns into reusable assets such as runbooks, templates, design notes, technical guidance, product briefs, and reference architectures that can be used across accounts.
• Contribute code, technical designs, or architecture changes when strategically necessary, in partnership with product and engineering, to address blockers that should be solved upstream.
• Travel as needed for strategic customer engagements, architecture workshops, and team coordination, with expected travel up to 50%.

What you’ll bring

• Experience in software engineering, platform architecture, forward deployed engineering, technical consulting, or similar customer-facing engineering roles.
• Strong software engineering fundamentals, including the ability to read, reason about, and contribute to production systems, ideally with experience in Ruby on Rails and/or Go.
• Strong systems design and software architecture skills, with experience evaluating APIs, asynchronous workflows, CI/CD systems, security boundaries, scalability, and operational tradeoffs.
• Hands-on experience with GitLab CI/CD, pipeline design, YAML, runners, and GitLab APIs.
• Experience with infrastructure as code and enterprise deployment tooling such as Terraform, Ansible, Helm, or similar approaches.
• Working knowledge of large language models, agentic patterns, tool orchestration, and the practical limits of AI systems in production environments.
• A track record of creating reusable technical assets that outlive a single engagement, along with strong written and verbal communication skills for technical design and architecture guidance.
• Comfort leading conversations with senior stakeholders across security, compliance, engineering, platform, and business teams, especially in ambiguous enterprise environments.

About the team

The Staff Forward Deployed Engineer works closely with teams across Customer Success, Solutions Architecture, product, and engineering to solve hard adoption problems in enterprise customer environments. We focus on high-leverage technical work for strategic customers, especially when standard approaches do not fully fit the environment or the adoption challenge.

We are especially valuable in situations where self-managed deployment models, security and compliance requirements, migration complexity, or AI platform adoption create barriers that standard approaches do not fully address. Success on our team comes from strong technical judgment, a bias for reuse, and the ability to balance immediate customer needs with long-term platform impact.

An overview of this role

As a Senior Engineer on the Runway team, you'll lead the design, evolution, and operation of the Kubernetes-based platform and developer tooling that powers GitLab's engineering organization. You'll drive strategic infrastructure initiatives across platform architecture, automation, and developer experience. That includes operating production Kubernetes clusters across cloud environments, scaling our ArgoCD-based GitOps workflows, and setting infrastructure-as-code practices and standards across teams. You'll mentor engineers, influence architectural decisions, and drive platform improvements that enhance reliability, observability, and security controls like RBAC and secrets management. Your work will establish clear patterns that make it easier for application teams to adopt modern practices and ship with confidence.

Some examples of our projects:

• Evolve ArgoCD GitOps standards across environments (Application Sets, sync policies, and deployment guardrails)
• Build reusable Terraform modules and practices for safe, repeatable cloud infrastructure provisioning and drift detection

What you'll do

• Manage and evolve production-grade Kubernetes clusters across cloud environments, contributing to architectural decisions on upgrades, scaling, disaster recovery, and reliability improvements.
• Implement and maintain GitOps workflows using ArgoCD, including Application Sets, sync policies, and deployment standards, and share best practices with teams adopting these patterns.
• Build and maintain reusable Terraform modules that enable safe, repeatable cloud infrastructure provisioning, including state management and drift detection practices.
• Lead incident response, drive post-mortems to clear conclusions, and implement improvements to availability, performance, and resilience as part of on-call rotation.
• Partner with application teams to onboard services onto the platform, writing documentation, runbooks, and self-service tooling that improves developer productivity.
• Implement security controls such as RBAC, network policies, and secrets management that meet compliance requirements.
• Contribute to CI pipeline integrations as part of end-to-end delivery workflows.

What you'll bring

• Proficiency in Go for writing and maintaining production-grade services and automation tooling, with the ability to guide others on best practices and code quality. Python or Bash experience is a plus.
• Hands-on experience owning production Kubernetes clusters across one or more cloud environments (for example, Amazon EKS, Google GKE, or Azure AKS), including upgrades, scaling, disaster recovery, and reliability engineering.
• Experience designing and operating GitOps-based continuous delivery workflows (for example, ArgoCD or Flux) and infrastructure as code (Terraform or equivalent), including reusable modules and safe infrastructure provisioning practices.
• Solid understanding of networking fundamentals (DNS, load balancing, ingress) and the ability to reason through failure modes and design tradeoffs, not just apply familiar patterns.
• Ability to deliver well-structured, independently driven work, including clear documentation of decisions, tradeoffs, and future considerations, in support of a team that operates asynchronously across time zones.
• Strong written and verbal communication skills, including the ability to write system documentation, establish runbooks, and share knowledge in ways that help the broader team move faster and get unblocked quickly.

About the team

The Runway team builds and operates the Kubernetes-based platform and developer tooling that GitLab engineers use to ship changes safely and reliably. We own core platform capabilities like production cluster lifecycle management, GitOps-based delivery workflows (ArgoCD), infrastructure as code foundations (Terraform modules and standards), and the reliability and observability practices that keep the platform healthy. We collaborate asynchronously with application and security partners to onboard services, improve self-service workflows, and strengthen controls like RBAC, network policies, and secrets management. The team's focus is reducing friction for developers while improving consistency, security, and operational confidence as the platform scales. For more on how this team works, see the Team Handbook Page.

The Role

We’re looking for a hands-on Network Engineer to design, deploy, and enable our global corporate network across offices in APAC. You’ll be the technical expert  for physical and virtual networking architecture, driving automation, and ensuring our infrastructure is resilient, scalable, and vendor-agnostic. This role will partner closely with Corporate Technology, Network Security, and Security Engineering and requires the ability to travel within APAC to support our regional offices.

What You’ll Do

• Architect and implement LAN/WAN/SD-WAN and Wi-Fi for multiple global offices.
• Manage Cisco Meraki switches/routers and  APs, while staying vendor-agnostic for future integrations.
• Implement and manage Wi-Fi EAP (Enterprise Authentication), certificate-based authentication, and enforce zero-trust access controls.
• Plan and optimize enterprise Wi-Fi, including RF design, surveys, and performance tuning.
• Build secure cloud and hybrid networking (AWS, Azure, GCP).
• Automate deployments and configuration management with Python, Ansible, and IaC tools (Terraform, GitOps).
• Implement observability and alerting; drive improvements in MTTR and service reliability.
• Support compliance (SOC 2, ISO 27001) with configs, change control, and documentation.
• Travel regionally (approx. 25–40% during buildouts) for on-site deployments and architecture reviews.

Who You Are

• 8–10+ years in enterprise networking, with multi-site design and operations experience.
• Deep expertise in routing, switching, and segmentation.Proven experience with Cisco networking technology, especially Cisco Meraki.
• Proficient in Python and Ansible for automation.
• Skilled in NAC/RADIUS integrations with identity providers (Okta, Azure AD).
• Strong understanding of certificate-based authentication, EAP, and zero-trust architectures.
• Strong troubleshooting, documentation, and leadership skills.
• Willing and able to travel internationally for deployments.

Nice to Have:

• Cloud networking depth (AWS, Azure, GCP).
• Experience with SASE/ZTNA platforms(Cloudflare/Zscaler).
• Professional certifications (CCNP, CCIE, JNCIP, etc.)

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. 

Cyber Security Engineer – IAM (SailPoint Implementation) 

Important Information

Location: Singapore

Mandatory Skills / Requirements

• Strong hands-on SailPoint implementation (IdentityIQ and/or IdentityNow) including application onboarding, connectors, identity lifecycle (Joiner-Mover-Leaver), access certification campaigns, role modeling/mining, SoD policy configuration, and production rollout
• IAM / IGA engineering beyond operations/support including identity lifecycle management, RBAC/ABAC models, access governance processes, and identity provisioning architecture
• Integration of SailPoint with enterprise systems such as Active Directory, HR systems (Workday/SAP/Oracle), databases, cloud platforms, and enterprise applications
• Hands-on development/customization within SailPoint including rules, workflows, connectors, APIs, and troubleshooting identity provisioning issues
• Security solution rollout from POC to full deployment, including UAT execution, migration planning, and stakeholder coordination
• Identity governance functions including access reviews, certification campaigns, role lifecycle management, and audit readiness
• Experience supporting security and compliance frameworks (ISO 27001, SOX, NIST, or internal audit controls) related to identity governance
• Strong understanding of authentication, authorization, SSO, federation (SAML/OAuth/OIDC) and directory services
• Scripting and integration knowledge (Java, BeanShell, PowerShell, REST APIs) for SailPoint customization
• SailPoint certifications preferred

About Encora

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

We are seeking a skilled Computer Vision Engineer. This role is pivotal in advancing robotic systems through high-fidelity spatial mapping and real-time object recognition. You will work closely with cutting-edge technology to integrate vision systems with robotic manipulation and navigation, to enhance automation capabilities.

Responsibilities:

• Implement high-fidelity spatial mapping and real-time object recognition pipelines.
• Integrate vision systems directly with robotic manipulation and navigation controls.
• Train and fine-tune Vision-Language-Action (VLA) models.

Required Skills:

• Proficiency in 3D Gaussian Splatting, NeRFs, and modern SLAM algorithms.
• Experience with multimodal spatial AI frameworks.
• Previous work integrating computer vision outputs with ROS2 or robotic hardware.

As a Backend Engineering Lead you'd be able to work on and solve many interesting challenges which we are facing, learn new ways of working, and help build delightful high quality products for our customers.  

Key Responsibilities

Technical Vision and Strategy

• Defines and communicates the technical vision and strategy for the engineering team, aligning it with overall business objectives.
• Evaluates emerging technologies and industry trends — including AI/ML capabilities, LLM-based tooling, and agentic frameworks — to inform technical roadmaps and architectural decisions.

Team Leadership and Mentorship

• Leads and mentors a team of engineers, fostering a culture of collaboration, innovation, and continuous learning.
• Provides guidance and support to team members, empowering them to grow both technically and professionally.
• Builds AI literacy across the team — ensuring engineers can effectively leverage AI-assisted development tools (code generation, automated review, test generation) while maintaining critical thinking about AI outputs.
• Coaches engineers on prompt engineering, AI pair-programming workflows, and when to trust vs. verify AI-generated code.

Project Management and Execution

• Manages technical projects from inception to delivery, overseeing planning, execution, and quality assurance processes.
• Coordinates with cross-functional teams, including product management, design, and QA, to ensure successful project outcomes.
• Incorporates AI-augmented estimation and planning tools where appropriate, while maintaining accountability for delivery commitments.

Architecture and Design

• Designs and implements scalable, maintainable, and extensible software architectures, considering factors such as performance, security, and scalability.
• Leads architectural discussions and collaborates with senior engineers to drive consensus on design decisions.
• Architects systems with AI integration patterns in mind — designing clean boundaries for AI/ML components, defining contracts between deterministic and probabilistic systems, and planning for model versioning, fallback strategies, and graceful degradation.

Technical Excellence

• Sets high standards for code quality, performance, and maintainability, and ensures adherence to best practices and coding standards.
• Conducts code reviews and provides constructive feedback to ensure the delivery of high-quality software solutions.
• Establishes guardrails and review standards for AI-generated code — ensuring it meets the same quality bar as human-written code, with particular attention to security, edge cases, and maintainability.
• Champions responsible AI practices: output validation, bias awareness, hallucination mitigation, and appropriate human-in-the-loop controls for critical paths.
  
  

Operational Ownership

• Takes end-to-end ownership of the systems the team builds — from deployment through production reliability, performance, and incident response.
• Drives operational maturity: SLOs/SLIs, alerting hygiene, runbook coverage, on-call readiness, and post-incident reviews that produce lasting improvements, not just action items.
• Ensures the team builds with production in mind from day one — observability, graceful degradation, and failure modes are first-class design concerns, not afterthoughts.
• Instils a "you build it, you run it" culture where engineers feel genuine accountability for what they ship and how it behaves under real-world conditions.

Problem-Solving and Decision-Making

• Demonstrates advanced problem-solving skills, leveraging deep technical expertise and critical thinking to address complex technical challenges.
• Makes informed decisions under uncertainty, weighing technical trade-offs and considering long-term implications.
• Knows when AI is the right tool for a problem and when it isn't — resists the pressure to "add AI" where simpler, more deterministic solutions are more reliable and cost-effective.
• Leverages AI-assisted analysis (log analysis, incident correlation, root cause detection) to accelerate debugging and reduce mean time to resolution.

Stakeholder Management and Communication

• Builds strong relationships with stakeholders, including product managers, business leaders, and other engineering teams, to understand requirements and priorities.
• Communicates technical concepts and project status effectively to both technical and non-technical stakeholders, adapting communication style as needed.
• Translates AI capabilities and limitations into business terms — sets realistic expectations around what AI can deliver, timelines for AI-powered features, and the ongoing cost of maintaining AI systems (compute, data quality, model drift).
• Educates stakeholders on the difference between demo-grade AI and production-grade AI, managing enthusiasm without stifling innovation.

Risk Management and Mitigation

• Identifies and mitigates technical risks proactively, anticipating potential issues and implementing contingency plans to minimize impact on project timelines and deliverables.
• Maintains a focus on security, privacy, and compliance requirements, ensuring that systems and processes adhere to relevant standards and regulations.

Continuous Improvement and Innovation

• Drives a culture of continuous improvement and innovation within the engineering team, encouraging experimentation, knowledge sharing, and adoption of new technologies.
• Promotes automation, tooling, and process enhancements to improve efficiency, reliability, and scalability of development workflows.
• Runs structured experiments with AI tools and workflows — measuring real impact on velocity, quality, and developer experience rather than relying on anecdotal evidence.
• Builds internal knowledge sharing around AI use cases, effective patterns, and lessons learned — creating a feedback loop that accelerates the team's AI maturity.
• Actively contributes to agentic AI workflows for automating repetitive engineering tasks (test generation, migration scripts, documentation, incident triage) while maintaining human oversight on critical decisions.
  
  

Leadership and Influence

• Leads by example, demonstrating integrity, accountability, and a commitment to excellence in all aspects of work.
• Inspires and motivates team members to achieve their full potential, fostering a positive and inclusive team culture.
• Positions the team as AI-forward without being AI-reckless — models the discipline of evaluating AI tools critically, adopting what works, and discarding what doesn't.
• Shapes the engineering organization's AI adoption narrative, contributing to company-wide standards, governance frameworks, and best practices for AI in production systems.

Role Specific Technical Competencies:

• Strong technical background in (AWS, Spring Boot, Kotlin, K8s, Microservices, Kafka, Istio, event-driven architecture).
• Exposure to Cloud Technologies, SRE (Site Reliability Engineering), and DevOps concepts with a focus on automation.

Our Ideal Candidate: 

• 10+ years of overall experience with the majority of this experience as an Engineering Lead or Manager.
• Experience working in Fintech / Financial organisations is an added advantage.
• At least 5 years of demonstrable leadership experience, at an individual team level and working across demographically distributed teams and organizational boundaries.
• Good experience in creating actionable strategies, with clear outcomes, and continuous measurement of progress.
• Ability to produce and communicate effective and insightful thought leadership on technical topics.
• Strong technical background in (AWS, Spring Boot, Kotlin, K8s, Microservices, Kafka, Istio, event-driven architecture).
• Exposure to Cloud Technologies, SRE (Site Reliability Engineering), and DevOps concepts with a focus on automation.
• Ability to take ownership and deliver results in a challenging client-facing environment.
• A degree in a relevant area of study would be helpful but not mandatory

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 building and scaling the user-facing products that operators, plant managers, and enterprise stakeholders rely on every day. This is a hands-on role. You will design, build, and ship production-quality UI systems that surface complex operational data in intuitive, performant interfaces. The role requires close collaboration with backend, product, and domain expert teams — and a genuine curiosity for how AI tools can accelerate and enhance your work.

Responsibilities

• Own the design and implementation of UI systems for Amperesand's MES and ERP platforms
• Build end-to-end frontend features including data visualization, workflow management, dashboards, and real-time telemetry displays
• Develop reusable component libraries and design systems that scale across the product
• Collaborate with backend and platform teams to define APIs and data contracts that support great user experiences
• Productionize UI code with a strong focus on reliability, accessibility, performance, and maintainability
• Leverage AI-assisted development tools to accelerate delivery and improve code quality
• Partner with product managers and domain experts to translate complex operational problems into intuitive interfaces
• Continuously improve the product through user feedback, usage analytics, and iteration
• Document component designs and architectural tradeoffs for cross-functional stakeholders

Qualifications

• 5+ years of experience in frontend or full-stack engineering, including production deployments
• Strong experience with TypeScript and React, including hooks, state management, and component architecture
• Experience building data-dense, real-time UIs such as dashboards, tables, and operational views
• Proficiency with modern frontend tooling (Vite, Next.js, or similar)
• Experience integrating with REST or GraphQL APIs and real-time data streams (WebSockets, SSE)
• Familiarity with testing practices (unit, integration, end-to-end)
• Comfortable working with AI coding tools (Copilot, Cursor, Claude, etc.) to supplement and accelerate development
• Proficiency in English and ability to communicate with wider teams
• Ability to travel up to 20% including internationally

Bonus Qualifications

• Background in energy engineering systems (power systems, energy storage, power electronics, or controls)
• Experience with IoT, manufacturing, or industrial platforms
• Exposure to design tools and ability to collaborate closely with UX/UI designers
• Experience with MES, digital twins, or asset health monitoring
• Open-source contributions to frontend projects
• Experience working within or building design systems
• Familiarity with CI/CD workflows and frontend DevOps practices
• Experience working with hardware, firmware, or operations teams

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

We are hiring a Platform & Reliability Engineer!

As our Platform & Reliability Engineer, you’ll be the architect of how we deploy, scale, and operate our systems to keep payments flowing smoothly. You’ll own the reliability and performance of our platform, from designing SLOs and incident response processes to optimizing costs and developer workflows. As the first platform-focused hire at a fast-growing, Sequoia-backed fintech startup, you’ll have the opportunity to define best practices, shape our engineering culture, and ensure we ship software that is fast, secure, and resilient at scale.

What You’ll Do:

• SLOs & error budgets - Define, track, and evangelize latency and availability targets for our payment APIs.
• Observability - Deploy Cloud Monitoring, Cloud Trace, Error Reporting, and dashboards; integrate alerts via Incident.io and Slack for on-call.
• Incident lifecycle - Establish blameless postmortems, guardrails, and runbooks to drive learning and prevent recurrence.
• CI/CD golden path - Codify Cloud Build pipelines and automated canary rollouts for Cloud Functions / Cloud Run.
• Infrastructure as Code - Manage GCP resources; embed security, IAM least-privilege, and cost controls by default.
• Performance & cost tuning - Profile hot paths (BigQuery, Firestore, Pub/Sub), and implement caching or concurrency improvements to keep user latency < 100 ms.
• Developer tooling - Eliminate toil by improving local-to-prod parity, secrets management, and spinning up environments with a single command.
• Culture carrier - Instill reliability thinking across engineering and product as the first platform-focused hire.

What We're Looking For:

• At least 5+ years of experience building/operating production systems at scale, ideally on Google Cloud or a similar serverless stack, ideally in fast-paced or startup settings.
• Hands‑on Fluency with Firebase, Cloud Build, Cloud Run/Functions, Pub/Sub, Cloud SQL/Spanner, VPC Service Controls.
• Strong coding in Python or Go for automation, with an eye on maintainability.
• Demonstrated record of driving observability, on‑call and cost optimisation in a fast‑moving environment.
• Excellent collaboration and communication skills to work effectively with cross-functional teams.
• Experience in payments, PCI‑DSS, or crypto settlement flows is a bonus. 

Our Culture:

• Fast-paced and dynamic – We’re a growing startup that moves quickly.
• Tech-driven – We leverage technology to address our users’ biggest challenges.
• Ownership and communication – We value people who take full ownership and communicate well across teams.
• Continuous learning – You’ll have the opportunity to work alongside industry experts and enhance your expertise in risk management.

Why Join Us:

• Competitive salary + equity plan
• 21 days PTO
• Benefits: annual medical allowance, productivity budget, gym membership & wellness subsidy
• Annual team retreat trip
• Be part of a team backed by Sequoia Capital with a healthy runway

Requirements:

• 5+ years of experience in platform, reliability, or infrastructure engineering.
• Proficient in GCP, infrastructure as code, and automation scripting.
• Familiar with observability, CI/CD, and modern cloud-native architectures.
• Bachelor's degree or equivalent practical experience.
• Work visa sponsorship available.

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 Team

The Cloud Infrastructure Engineering team builds and manages the foundational blocks of ClickHouse Cloud data plane end-to-end. This includes compute, networking, security, and a multi-cloud, multi-region architecture that provides a reliable and scalable managed ClickHouse experience for ClickHouse Cloud customers. Our team is looking for highly skilled and experienced cloud infrastructure software engineers to join our team, who will be responsible for designing, deploying, and maintaining our infrastructure.

What will you do?

• Architect and build a robust, scalable, and highly available distributed infrastructure.
• Build a cutting-edge cloud-native platform on top of the public cloud, and automate our cloud resource management.
• Work closely with our ClickHouse core database development team, and security team and partner with them to produce the SAS offering.
• Work on routing and traffic components to improve the reliability and scalability of our cloud service.
• Systematically improve availability by applying industry and distributed systems best practices.
• Design and build security components & tooling: firewall, PKI and certificate infra, zero trust network, etc. 
• Improve performance and cost efficiency of our infrastructure.

About you:

• 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
• Software development experience in Go, C/C++, Java, or another OOP language.
• Experience with cloud technologies such as AWS, Azure, or GCP, including infrastructure-as-code (IaC) tools such as Terraform or CloudFormation.
• Experience developing cloud infrastructure services, preferably with Kubernetes.
• Experience developing cloud native edge or service mesh services, preferably with envoy and Istio.
• Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
• Understanding of network topologies, protocols, and security principles, such as VPNs, firewalls, and load balancers.
• Knowledge of cloud security best practices, including encryption, access controls, and compliance standards like SOC2 and GDPR.
• You have excellent communication skills and the ability to work well within a global team.
• 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

#LI-remote

Job Responsibilities:

• Act as the primary point of contact for the daily operation and management of Cobo’s corporate IT systems and endpoint environment
• Manage employee accounts, devices, and core productivity tools, covering onboarding, offboarding, role changes, and access management 
• Monitor and respond to endpoint security events, including EDR alerts, phishing attempts, and common security incidents
• Support internal users by resolving office IT and security-related issues efficiently, ensuring a smooth employee experience
• Help establish and continuously improve IT operations and baseline security standards as the company scales
• Collaborate closely with Security, Compliance, and Engineering teams, gaining exposure to security practices

Job Requirements:

• Bachelor's Degree in Computer Science, Information Security, or a related discipline.
• At least 2 - 5 years of experience in Corporate IT, IT Operations, or System Support roles
• Hands-on experience supporting Windows and macOS users in an enterprise environment
• Experience with at least one endpoint security solution (e.g. EDR, antivirus, endpoint protection)
• Awareness of common endpoint and office security risks such as phishing, malware, and account compromise
• Familiarity with identity and access management tools such as Active Directory, Google Workspace, or SSO platforms
• Experience supporting employee lifecycle processes (onboarding, role changes, offboarding, access provisioning)