Role: Manager, Software Engineering
Location: Hyderabad, India (Hybrid)
Department: Product Engineering
Reports to: Director of Engineering

About GHX:
GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the GHX Global Network — the world’s largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate key processes, reduce costs, and increase operational efficiency. Its solutions span electronic trading, procurement automation, inventory and contract management, business intelligence, and data synchronization, helping healthcare organizations improve productivity and focus more on patient care. Over the years, GHX has enabled significant cost savings for the industry and continues to innovate with intelligent automation and AI-driven capabilities.

Website: https://www.ghx.com/
LinkedIn: https://www.linkedin.com/company/ghx/

About the Role

We're seeking a hands-on Software Engineering Manager to lead a Software Development team with day-to-day technical leadership responsibilities. Working closely with other Development teams, this role executes the company's technical, architectural, and commercial product initiatives by taking an active role with the team. The Manager will be responsible for both technical roadmap/design and people management.

A successful candidate in this role would assume leadership in delivering customer outcomes with a focus on building modern delivery pipelines in a high-availability platform. This role will lead a high-impact team through the product development lifecycle by being an active contributor of production-quality code, with up to 70% of their time focused on research, development, system designs, and architectural reviews. This role works in an Agile environment, collaborating with the team to lead continuous improvement using data-driven decisions through iterative development.

Responsibilities

• Lead by example: Hands-on in design, coding, and shipping high-quality software using Angular, Node.js, JavaScript, and Java (back end) on AWS services like Lambda, EC2, S3, and SQS.
• Strong foundation in Spring frameworks and data layers like MongoDB, PostgreSQL, Elasticsearch, etc.
• Champion and educate the organization on Agile best practices, new frameworks, processes, architectural standards, design patterns, and solutions.
• Ensure engineering excellence by having sound knowledge of Microservices, security, and containerization.
• Collaborate with Development, Product, and Architecture teams to drive the software development lifecycle, iterating quickly to deliver high-impact solutions to Production with high quality.
• Ensure engineering excellence by adherence to standards around robustness, resiliency, high availability, scaling, and utilization of modern delivery pipelines.
• Plan and execute a timely release process with all stakeholders, including necessary communication.
• Mentor and grow developers through coaching, feedback, and amplifying the technical vision from the Enterprise Architecture team.
• Establish roadmaps and resourcing needs across multiple teams.
• Balance speed and quality by utilizing industry-standard measurements such as Cycle Time, Lead Time to Change, and Deployment Frequency to identify roadblocks. Ensure the proper technical design required to positively impact measurements.
• Assess risks and dependencies and hold teams accountable to high standards by leading by example.
• Drive incident response for the team, including on-call coverage, technical response, and providing technical resolution to production issues.

Required Experience

• Computer Science degree with related experience.
• 5+ years of software development management experience.
• Excellent understanding of AWS services (e.g., EC2, EKS, Lambda, S3, RDS, API Gateway).
• Strong understanding of system design, scalability, microservices, and distributed architectures.
• Experience designing external-facing UI applications, SSO integration, secure systems, and APIs.
• Experience designing high-availability, fault-tolerant, and secure systems.
• Practical experience with GitHub Actions, CI/CD, or other automation tools.
• Familiarity with UI, backend, and API development and their integration.
• Proven ability to mentor engineers and conduct thoughtful, constructive code reviews.
• Experience being the technical lead on a team that produces high-quality deliverables.

Nice to Have

• Strong knowledge of DB concepts and data analysis experience with expertise in data-driven decision making.
• Hybrid mobile app development experience with Ionic or Cordova.
• SDLC experience across AI development lifecycles.
• Familiarity with modern AI concepts: LLMs, Agentic AI, MCP, and Copilot development.
• Knowledge of cloud monitoring and observability tools.

Role: Manager, Software Engineering
Location: Hyderabad, India (Hybrid)
Department: Product Engineering
Reports to: Director of Engineering

About GHX:
GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the GHX Global Network — the world’s largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate key processes, reduce costs, and increase operational efficiency. Its solutions span electronic trading, procurement automation, inventory and contract management, business intelligence, and data synchronization, helping healthcare organizations improve productivity and focus more on patient care. Over the years, GHX has enabled significant cost savings for the industry and continues to innovate with intelligent automation and AI-driven capabilities.

Website: https://www.ghx.com/
LinkedIn: https://www.linkedin.com/company/ghx/

About the Role

GHX is seeking a hands-on Engineering Manager with expertise in software engineering, release management, artificial intelligence and cross-functional collaboration. The work blends modern software practices with pragmatic AI to reduce manual exceptions, improve matching accuracy, and enhance the invoice processing end-to-end. 

Responsibilities

Engineering Leadership

• Provide technical and people leadership for an engineering team.
• Manage, mentor, and grow a high-performing team of software engineers, fostering a culture of collaboration, innovation, and accountability.
• Partner with other engineering and cross‑functional leads to align priorities and ensure cohesive execution.
• Coordinate incident response for the team, including coverage and technical response to issue.

Hands‑on Technical Leader

• Contribute to high‑impact coding when it adds meaningful value (foundational components, prototypes, critical paths).
• Help decompose and modernize systems where valuable, encouraging reliable, observable, and maintainable designs.
• Maintain a strong emphasis on unit and component testing as part of day‑to‑day engineering
• Work with QA team members to shape testing approaches across the lifecycle, including automation and release readiness
• Encourage shift‑left practices and CI‑integrated test suites for confidence and speed

AI Utilization in SDLC

• Use AI during various stages of SDLC for code generation, code analysis, testing and review impact of changes
• Implement agents/skills with the vetted AI tools to produce secure, maintainable, practical solutions
• Collaborate with data and analytics partners to responsibly operationalize models where appropriate

Technical Execution

• Conduct sprint ceremonies and ensure proper grooming of all epics/stories
• Guide the planning, prioritization, and delivery with a focus on predictable outcomes
• Establish robust monitoring, logging, and alerting systems to maintain system reliability and performance.
• Identify and mitigate technical risks, ensuring alignment with business objectives.
• Plan and execute the timely release process for deliverables with all stakeholders including necessary communication.
• Champion the adoption and optimization of modern CI/CD pipelines to streamline development, testing, and deployment processes.
• Collaborate with Security team to resolve any findings and conduct the annual compliance reviews

Qualifications

• Education: Computer Science or related degree, or a combination of education and related experience.
• Experience:
• 8+ years of prior software development experience with hands-on coding and management experience.
• Deep understanding of modern CI/CD pipelines, including tools like Bamboo or GitHub Actions.
• Proficiency with cloud platforms (e.g. AWS, Azure, etc) and container orchestration (e.g. Kubernetes, Docker).
• Experience with Agile development processes (Scrum, Kanban) and leading teams in a fast-paced environment.
• Strong focus on quality assurance with proven expertise of delivering high-quality software.
• Applied knowledge of AI in day‑to‑day engineering and process automation.

Technical Skills:

• Experience with development languages such as Java, Springboot, Node.js
• Familiarity with frontend frameworks, including Angular (12+) and strong proficiency with JavaScript or TypeScript
• Proficiency with AWS cloud and cloud‑native services
• Practical experience with Relational and NoSQL databases, such as PostgreSQL, MongoDB, Elasticsearch, or cloud‑native data stores.
• Proficiency with CI/CD and infrastructure automation tools (e.g., GitHub Actions, Bamboo).
• Knowledge of Testing tools like Selenium, Playwright, Postman or similar
• Familiarity with AI‑powered engineering tools (e.g., GitHub Copilot, Claude Code, Cursor) to enhance development velocity and code reliability.

Soft Skills:

• History of handling multiple concurrent projects
• Ability to effectively communicate across organizational levels and with a variety of stakeholders, including the ability to communicate technical concepts to technical and non-technical audiences
• Strong strategic thinking that prioritizes long term outcomes over emergent distractions.
• Ability to make difficult decisions and to drive decisions into actuality
• Ability to understand and effectively explain up and downstream product, team, and organizational impacts
• Ability to constructively challenge the status quo and to iterate and improve across multiple business domains
• Leadership and mentoring skills including the ability to lead by example, promoting a common purpose and serving as a catalyst for success
• Demonstrate emotional maturity and a positive outlook.
• Demonstrated analytical, organizational, prioritization, and time management skills

Role: Manager, Software Engineering
Location: Hyderabad, India (Hybrid)
Department: Product Engineering
Reports to: Director of Engineering

About GHX:
GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the GHX Global Network — the world’s largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate key processes, reduce costs, and increase operational efficiency. Its solutions span electronic trading, procurement automation, inventory and contract management, business intelligence, and data synchronization, helping healthcare organizations improve productivity and focus more on patient care. Over the years, GHX has enabled significant cost savings for the industry and continues to innovate with intelligent automation and AI-driven capabilities.

Website: https://www.ghx.com/
LinkedIn: https://www.linkedin.com/company/ghx/

Role - Staff Software Engineer: Industry Assurance Platform

The Problem We’re Solving

Most disaster recovery is a checkbox. What happens when a ransomware attack doesn't just take down one server, but knocks out the entire ecosystem of suppliers and trading partners for weeks? In healthcare, that’s a catastrophe. We are building an industry-wide, high-availability trading platform that steps in when the primary systems fail.

What We Need You to Do

We are seeking a highly skilled and hands-on Staff Software Engineer to provide deep technical leadership within our engineering organization. This role is intended for senior technologists who excel at solving complex engineering problems, driving architectural excellence, and elevating the technical capabilities of the broader team.

The Staff Engineer operates as a senior individual contributor who influences technical direction, mentors engineers, and collaborates cross-functionally to deliver scalable, reliable, and high-quality software solutions. This role does not include direct people management responsibilities but carries significant technical ownership and organizational impact.

Key Responsibilities

· Technical Leadership – Design and implement scalable, secure and hig-performance software system; Lead complex technical initiatives spanning multiple teams or systems

· Hands-on Development – Contribute actively to codebase through design, development, code reviews and performance optimizations; Champion modern practices including automation, observability and resiliency

· Mentorship – Promote high standards in coding, testing, documentation and system design; develop technical talent by sharing knowledge

· Cross-functional collaboration – Partner closely with Product Management, Marketing, Operations and other stakeholders to translate business needs to technical solutions; Communicate complex technical concepts to non-technical audience

· Execution & Delivery – Provide leadership during planning, estimation & execution phases

Required Qualifications

· Bachelor’s degree in Computer science, Engineering or equivalent

· 8-10 years of experience in designing and building distributed software systems using Microsoft tech stack (.Net, C# )

· Experience in cloud services Azure/AWS Lambda, SQS, API Gateway, ECS etc.

· Hands-on experience with messaging systems like Kafka or Azure Service Bus

· Knowledge of Entity Framework, LINQ, PostgreSQL, MongoDB

· Implementing responsive UI using HTML5, CSS3, Angular

· Implementing CI/CD pipelines using Azure DevOps, GitHub Actions. Knowledge of Containerization and orchestration tools

· Implement testing strategies using unit, integration and API testing

Preferred Skills

· Multi-Cloud & Serverless Experience: Familiarity deploying applications on Azure & AWS specific services like Lambda and Step Functions (for hybrid-cloud orchestration)

· Leverage AI-powered tools - GitHub Copilot/Claude Code/Cursor - to accelerate delivery

· Exposure to AI/ML integration for predictive analytics

Impact of the role

Success in this role will be measured by technical outcomes — improved system scalability and stability, stronger engineering practices, accelerated delivery through mentorship, and effective collaboration across organizational boundaries.

Senior DevSecOps Engineer

Position Summary

The Senior DevSecOps Engineer will be embedded within product engineering teams to implement and maintain secure, automated, and reliable delivery pipelines while following standards, frameworks, and guardrails set by the DevSecOps Center of Excellence (CoE).

This is a hands-on role that reports to the Manager of DevSecOps and works directly with developers, SREs, and product managers to enable faster, safer deployments, cost-efficient infrastructure, and adherence to enterprise security policies. The engineer will collaborate closely with Principal and Senior Staff DevSecOps engineers for technical guidance and mentoring while operating within the centralized DevSecOps leadership framework.

Key Responsibilities

Product Line DevSecOps Execution

· Build and maintain CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD) for the assigned product line.

· Integrate security testing (SAST, SCA, DAST, container scanning) into build and deployment workflows.

· Apply CoE standards, templates, and automation frameworks consistently within product environments.

· Troubleshoot and resolve DevSecOps issues, escalating complex challenges to Staff/Principal engineers.

Infrastructure & Automation

· Implement Infrastructure-as-Code (Terraform, CloudFormation) for product infrastructure.

· Adopt GitOps practices for repeatable and auditable infra provisioning.

· Ensure infrastructure deployments comply with security guardrails, tagging, and cost controls.

Observability, Security & Compliance

· Collaborate with SREs to enable monitoring, logging, and observability (Prometheus, Grafana, OpenTelemetry, New Relic, CloudWatch).

· Ensure pipelines and infrastructure comply with HIPAA, SOC2, and internal security standards.

· Embed IAM, KMS, GuardDuty, Security Hub into workflows for cloud security posture.

FinOps & Cost Awareness

· Implement CoE-defined cost governance practices in product pipelines.

· Ensure workloads are tagged, right-sized, and cost-efficient.

· Provide cost visibility to product teams and support FinOps reviews.

Collaboration & Continuous Improvement

· Work closely with developers, QA, SRE, and product managers to support secure and efficient delivery.

· Participate in CoE knowledge-sharing sessions, playbooks, and Communities of Practice.

· Contribute feedback from product teams back into the CoE to improve standards and frameworks.

· Continuously learn from Staff and Principal engineers and apply best practices within the product line.

Qualifications & Experience Required

· 8+ years in DevOps, Cloud, or Security Engineering.

· Strong hands-on experience with CI/CD pipeline tools (GitHub Actions, GitLab CI, Jenkins, ArgoCD).

· Proficiency in AWS services (EKS, ECS, EC2, S3, IAM, Security Hub, GuardDuty).

· Hands-on with containers & Kubernetes (Docker, EKS).

· Experience with Infrastructure-as-Code (Terraform, Pulumi, CloudFormation).

· Familiarity with observability platforms (Prometheus, Grafana, OpenTelemetry, New Relic, CloudWatch).

· Programming/scripting in Python, Go, or shell scripting.

· Strong collaboration skills in cross-functional product teams.

Preferred

· Experience in SaaS or healthcare software environments.

· Knowledge of databases (MongoDB, Elasticsearch, SQL).

· Familiarity with compliance frameworks (HIPAA, SOC2, ISO 27001).

· Certifications: AWS Security Specialty, CKA/CKAD, FinOps Certified Practitioner

We are seeking a skilled Software Engineer with expertise in GPU Infrastructure, Ubuntu operating systems, and automation to design, build, maintain, and optimize machine images across a variety of cloud platforms. In this role, you will play a key part in delivering standardized, secure, and high-performant images, including those deployed on GPU Bare Metal and GPU droplet (VM) images 

You will focus on automating the image creation lifecycle, ensuring image integrity, and optimizing for performance and security. The ideal candidate brings deep experience in GPU infrastructure, automation, and test systems, along with a strong passion for building secure, scalable, and efficient machine images that power modern cloud-native applications and services.

What You’ll Do:

• Work with key stakeholders in packaging and continuously testing our GPU images across multiple platform services.  This includes coordination with hardware engineering teams on packaging firmware versions and maintaining an active compatibility matrix of GPU drivers across Nvidia and AMD GPU platforms (H100/H200/MI300x/MI325x).
• Automation and Scripting: Develop and maintain tooling and scripts (e.g., using HashiCorp Packer, Ansible, Terraform, Python, Shell scripting) to automate the creation, testing, and deployment of machine images.
• Security and Compliance: Ensure machine images adhere to security best practices, including hardening, patch management, and compliance with organizational and industry standards (e.g., CIS benchmarks, GDPR, HIPAA).
• Optimization: Optimize machine images for performance, size, and boot time to enhance scalability and reduce operational costs.
• CI/CD Integration: Integrate machine image creation into CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI for automated builds and deployments.
• Versioning and Documentation: Maintain version control for machine images and document configurations, processes, and best practices.
• Monitoring and Troubleshooting: Implement monitoring for image performance and troubleshoot issues related to image deployment and runtime in cloud environments.
• Stay Updated: Keep abreast of advancements in cloud technologies, containerization, and image management tools to propose and implement improvements.

What You'll Add to DigitalOcean:

• Strong experience with building Linux operating system images.
• Solid understanding of GPU related infrastructure including NCCL, RCCL testing frameworks particularly in a fabric connected environment.
  Hands-on experience building and managing machine images using tools like Packer, cloud-init, Ansible, Python, and shell scripting.
• Familiarity with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI) for automating image pipelines.
• Strong understanding of security practices in image building (e.g., CVE scanning, secrets management, system hardening).
• Experience in regulated environments (HIPAA, FedRAMP, SOC2, etc.)
• Knowledge of Immutable Infrastructure and Golden Image pipelines.
• Experience with configuration management tools like Chef or Puppet.

This is a hybrid role based in either Hyderabad or Bangalore(India), depending on the candidate's preference.

#LI-Hybrid 

Truveta provides unprecedented real-world data and real-time intelligence, powered by a dataset built with and owned by US health systems united in a mission of Saving Lives with Data. Together, we power breakthrough medical discoveries, accelerate regulatory-grade evidence, and improve patient care. Today, Truveta enables research on more than 130 million de-identified patients across the US.  

Achieving Truveta’s ambitious mission requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

Role Overview 

We are looking for an Engineer to support and enhance our Azure DevOps and GitHub platforms, enabling efficient and secure software development workflows. 

This role is ideal for someone with a solid development background and hands-on experience with CI/CD systems, repository management, and automation. You will work closely with engineering teams to improve developer productivity while maintaining platform reliability and governance. 

You will also support adoption of GitHub Copilot and modern developer tooling. 

Key Responsibilities 

• Administer and support GitHub repositories, organizations, and access controls.  

• Build and maintain CI/CD pipelines using Azure DevOps and GitHub Actions.  

• Support implementation of branching strategies and release workflows.  

• Help enforce repository policies, permissions, and governance standards.  

• Integrate basic security controls into pipelines (secrets handling, scanning).  

• Assist in rollout and usage of GitHub Copilot, including developer guidance.  

• Automate routine tasks to improve developer efficiency and reduce manual work.  

• Troubleshoot build, deployment, and pipeline issues.  

• Monitor pipeline performance and suggest improvements.  

• Work with engineering teams to improve build and deployment processes.  

• Maintain documentation and best practices for platform usage.  

Required Qualifications 

• 6–8+ years of experience in software engineering, DevOps, or platform support.  

• Solid development experience (ability to write and understand code).  

• Hands-on experience with:  

• Azure DevOps (Pipelines, Repos, Boards – basic to intermediate)  

• GitHub (repositories, Actions, workflows)  

• Good understanding of Git and branching strategies.  

• Experience working with CI/CD pipelines.  

• Basic scripting skills (Python, PowerShell, Bash, or similar).  

• Familiarity with GitHub Copilot or similar tools.  

Preferred Qualifications 

• Exposure to Azure cloud services.  

• Familiarity with infrastructure as code (Terraform, Bicep, ARM).  

• Basic understanding of containerization (Docker, Kubernetes).  

• Awareness of security practices in CI/CD pipelines.  

• Experience in enterprise or large team environments.  

What We’re Looking For 

• Strong problem-solving mindset with willingness to learn and grow.  

• Ability to work closely with developers and understand their needs.  

• Focus on automation and improving developer experience.  

• Good collaboration and communication skills.  

• Ownership of tasks with attention to reliability and quality.  

What We Need

NetBrain is looking for a DevOps Engineer who will combine deep network domain knowledge of current operational challenges. In this role, You'll focuses on AWS cloud infrastructure, automation, and secure deployments.NetBrain has a global presence with offices worldwide. There are opportunities for employees with top performance to transfer to other offices in the future. 

What You'll Do

• Collaborate with product, development and security teams to deliver solutions efficiently and securely.
• Design, deploy and manage scalable AWS cloud infrastructure, using advanced scripts and tools to ensure the implementation of infrastructure as code (using Terraform, CloudFormation or AWS CDK).
• Build and maintain CI/CD pipelines with automated testing and deployment gating (CodePipeline, CodeBuild, Github Actions or Jenkins).
• Automate provisioning and deployments for microservices and serverless workloads.
• Establish monitoring, tracing and alerting with CloudWatch, Prometheus/Grafana, Datadog and X-Ray.
• Implement centralized logging.
• Manage IAM roles, policies and enforce least-privilege access and implement encryption (at rest and in transit), secure APIs and AWS WAF.
• Integrate container security practices while supporting compliance efforts with automated controls and documentation.
• Configure and manage VPCs, subnets, routing, NAT gateways and secure connectivity.
• Design and maintain highly available multi-AZ and multi-region architectures.
• Develop and test backup and disaster recovery strategies (AWS Backup, RDS snapshots, S3 versioning).
• Respond to incidents, perform root cause analysis and implement preventative measures.
• Maintain clear technical documentation, runbooks and onboarding guides.

Who You Are

• 5 years of experience with cloud-related technologies such as AWS, Azure, or Google Cloud with a bachelor’s degree; or 3 years and a master’s degree.
• Expertise in programming in Python, Ruby, or Bash scripting languages.
• Solid understanding of CI/CD tools.
• AWS Professional  Certification is a plus.
• Familiar with the provision and configuration using management tools (e.g., Puppet, Chef, Ansible).
• Familiar with application monitoring tools like ELK, Splunk, or Datadog.
• Familiar with IaC such as Terraform or CloudFormation.
• Experience with SAAS project implementation. 

Senior Data (Platform) Engineer 

Location: Hyderabad | Department: Technology, Data 

About the Role 

Are you passionate about building reliable, scalable data platforms that make analytics and AI development easier? As a Senior Data Platform Engineer, you will be hands-on in building, operating, and improving our core data platform and AI/LLM enablement tooling. 

You’ll focus on infrastructure, orchestration, CI/CD, and reusable frameworks that support analytics engineering and AI-driven use cases. You’ll work closely with Analytics Engineering and Insights teams and support other departments as they integrate with our data systems. 

What You'll Do 

Data Platform & Infrastructure

• Build, deploy, and operate cloud infrastructure for data and AI workloads using Infrastructure as Code (Terraform).
• Provision and manage cloud resources across development, staging, and production environments.
• Develop and maintain CI/CD pipelines for data transformations, orchestration workflows, and platform services.
• Operate and scale containerized workloads on Kubernetes, including Airflow, internal APIs, and AI/LLM services.
• Troubleshoot and resolve infrastructure, pipeline, and orchestration failures to ensure platform reliability.
• Maintain and support existing ML services and pipelines to ensure stability and reliability (No expectation to design or develop new ML models or training pipelines).
• Continuously monitor and optimize platform performance and cost. 

Framework, Tooling and Enablement

• Build and maintain reusable frameworks and patterns for dbt, Airflow, Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.), Internal data and AI APIs
• Build and support infrastructure and pipelines for AI/LLM-based use cases, including orchestration, integration, and serving.
• Improve developer experience for Analytics Engineering and Insights teams by reducing friction in local development, deployments, and production workflows.
• Create and maintain technical documentation and examples to support self-service analytics and data development. 

What You’ll Need 

Technical Skills & Experience

• 5+ years of experience in data engineering, platform engineering, or similar hands-on roles.
• Strong programming skills in Python and SQL.
• Hands-on experience with:
  • Terraform
  • Airflow
  • dbt
  • Kubernetes
  • Cloud platforms (AWS, Google Cloud, or Microsoft Azure)
  • CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, etc.)
  • Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.) 
• Strong understanding of analytical data models and how analytics teams consume data.
• Experience integrating and operating LLM-based pipelines and services (not model training). 

Soft Skills & Collaboration

• Strong problem-solving skills and ability to debug complex platform issues.
• Strong preference for declarative development, with the ability to clearly separate what a system should do from how it is implemented.
• Clear communicator who can work effectively with both technical and non-technical stakeholders.
• Pragmatic, ownership-driven mindset with a focus on reliability and simplicity. 

Why Join Us? 

We welcome people from all backgrounds who seek the opportunity to help build a future where we connect the dots for international property payments. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world of PropTech forward, together. 

Redpin, Currencies Direct and TorFX are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Responsibilities

We are seeking a hands-on, detail-oriented Solutions Engineer to join our Solution Consulting team and support demo and proof-of-value (PoV) environments for sales, marketing, and customer success initiatives. You will collaborate with solutions architects, product managers, and developers to ensure that lab infrastructure is robust, secure, and aligned with real-world use cases.

In this role, you will be responsible to:

Pre-Sales & Technical Engagement

• Partner with AEs, Solution Architects, and cross-functional teams to deliver tailored platform demonstrations, manage POC engagements, and respond to RFI/RFP requests — driving technical sales cycles to completion.Collaborate with Customer Success to ensure seamless solution delivery and a positive post-sale customer experience.

Demo Environment & Infrastructure

• Design, deploy, and maintain virtual and physical lab environments across hybrid cloud and on-premise platforms (VMware, KVM, AWS, Azure, GCP), ensuring availability, security, and alignment with the latest product releases.Develop and maintain automation scripts (PowerShell, Python, Bash, Ansible, Terraform) and reusable components to streamline environment provisioning and accelerate field team deployments.

Collaboration & Enablement

• Work cross-functionally with Solution Architects, Product Managers, and Field Engineering to ensure demo content reflects current product capabilities and best practices.Maintain comprehensive documentation and troubleshooting guides, providing ongoing guidance and support to field teams on demo setup and usage.

Requirements

Qualifications / Experience / Technical Skills

• 2–4 years of experience in systems engineering, presales, back office support, deve ops, IT infrastructure

• Familiarity with infrastructure automation tools (e.g., Ansible, Terraform, Packer).

• Familiar with APIM, Integration, and Data Integration platforms (Boomi, Workato, Mulesoft)

• Basic scripting skills in Python, Ruby, PowerShell, or Bash.

• Experience managing cloud-based resources (e.g., AWS EC2, Azure VM).

• Strong problem-solving skills and the ability to work independently.

Preferred:

• Experience with CI/CD pipelines and version control (e.g., GitLab CI, GitHub Actions).

• Familiarity with containerization technologies (e.g., Docker, Kubernetes).

• Experience working with demo platforms or technical enablement teams.

• Understanding of enterprise software architectures and APIs (REST, gRPC).

Soft Skills / Personal Characteristics

• Strong written and verbal communication skills to collaborate effectively across technical and non-technical teams.

• Able to translate technical requirements into actionable lab builds.

• Highly organised, with the ability to manage multiple concurrent tasks or environments.

• Comfortable working in fast-paced and collaborative settings.

OUR MISSION

At Redwood, we empower our customers with lights-out automation for their mission-critical business processes.

ABOUT US

Redwood Software is the leader in full stack automation fabric solutions for mission-critical business processes. Our flagship SaaS platform, RunMyJobs (RMJ), is the first composable automation platform specifically built for ERP environments. We enable organizations to orchestrate, manage, and monitor workflows across applications, services, and infrastructure — in the cloud or on premises.

Our global team of automation experts, engineers, and customer success professionals work together to deliver seamless automation transformations.

CORE VALUES

One Team. One Redwood

Make Your Own Weather

Obsess over Customer Success

Work the Problem

Be Curious

Own the Outcome

Respect Each Other

YOUR IMPACT

We are seeking a Forward Deployed Software Engineer focused on migration tooling and customer onboarding to RunMyJobs (RMJ).  This role is part of an exciting new Forward Deployed Engineering team that is part of the Global Professional Services team that sits in the intersection of Product Engineering and Go To Market teams.

In this role, you will operate at the intersection of engineering and delivery. Your primary focus will be designing, building, and enhancing migration frameworks, tooling, and automation accelerators that enable customers to smoothly transition from legacy schedulers and automation platforms into RMJ. 

This is a forward deployed engineering role — highly technical, impact-driven, and closely aligned to real-world customer migration challenges.

You will work closely with:

• Migration Architects to design scalable and reusable migration patterns

• Professional Services to enable efficient customer onboarding

• Engineering & Product to improve platform capabilities based on field learnings

• Customers (occasionally) to validate requirements, troubleshoot edge cases, and ensure successful implementations

Migration Tooling & Automation

• Design and develop scalable migration tooling, scripts, and automation frameworks to accelerate onboarding into RunMyJobs.

• Build reusable components to migrate workflows, jobs, dependencies, and configurations from legacy systems.

• Identify migration bottlenecks and develop technical solutions to streamline data transformation and validation.

• Contribute to internal tooling that increases migration repeatability, reliability, and speed.

Forward Deployed Engineering

• Partner with Migration Architects to translate migration strategies into executable tooling and frameworks.

• Support Professional Services during complex or high-impact migration engagements.

• Troubleshoot migration-related production issues and resolve edge cases.

• Occasionally engage directly with customer technical teams to understand source environments and validate solutions.

Platform & Product Collaboration

• Provide structured feedback to Product and Core Engineering teams to improve RMJ migration capabilities.

• Contribute to architectural discussions ensuring scalability, security, and performance.

• Advocate for automation best practices in enterprise migration scenarios.

Engineering Excellence

• Write clean, maintainable, well-documented code.

• Implement automated testing (unit, integration, end-to-end).

• Contribute to CI/CD improvements for migration tooling.

• Mentor team members and contribute to a culture of continuous improvement.

YOUR EXPERIENCE

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.

• Strong professional experience in Java (Java 11/17+)

• Experience building backend services, APIs, and automation tooling.

• Experience with XML and JSON types, libraries like Jackson, Lombok

• Experience with relational databases (PostgreSQL, MySQL) Experience with scripting and automation (e.g., Shell scripting, Gradle).

• Familiarity with containerization (Docker) Strong debugging and troubleshooting skills in complex environments.

• Experience with automated testing (JUnit, AssertJ, Mockito).

• Ability to collaborate cross-functionally across engineering, architects, and delivery teams.

• Experience with AI-driven automation use cases

• Experience migrating enterprise systems or schedulers to modern SaaS platforms.

• Background in automation, workload scheduling, or ERP environments.

• SAP knowledge (ABAP, HANA).

• Experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI).

• Experience in customer-facing or forward deployed engineering roles.

• Experience with AI-driven automation use cases.

About Us

Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.

If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

This role sits within the Backend and Platform Engineering organization. You'll work day-to-day alongside the Fullstack Engineering team, ensuring application services have the cloud infrastructure they need to scale safely and deploy reliably. You'll also partner closely with the ML Systems Engineering (Ops) team, enabling the infrastructure capabilities required for production ML pipelines, model serving, and data workloads. Cross-functionally, you'll collaborate with QA, Release Engineering, and Platform and Security stakeholders to ensure cloud environments support stable testing pipelines, access control, secrets management, and operational governance.

About the Role

We are looking for a Cloud Engineer (Platform & Infrastructure) to help mature our cloud operations into a structured and scalable platform. Our foundational infrastructure is already in place and actively supporting production workloads, but many current practices evolved organically during earlier growth stages. Rather than building from scratch, you'll evolve an existing production environment by introducing stronger operational patterns, improving deployment safety, and ensuring our infrastructure layer reliably supports increasing system scale. This role offers meaningful ownership of the infrastructure backbone supporting a platform that combines real-time application systems with machine learning workloads, and the opportunity to influence how systems are deployed, operated, and scaled as the organization grows.

What You'll Do

• Review and rationalize current Azure and AWS environments, identifying configuration drift, security gaps, and operational inconsistencies, and establish clear configuration standards across cloud accounts
• Introduce repeatable Infrastructure-as-Code patterns to ensure cloud resources are provisioned, versioned, and audited through automated workflows
• Strengthen CI/CD pipelines for infrastructure and application deployment to reduce manual operations and increase release safety across both application services and ML workloads
• Establish consistent logging, metrics, and alerting practices across infrastructure and container workloads to improve operational visibility
• Audit and improve cloud security practices including IAM policies, secrets management, network segmentation, and operational access controls
• Evaluate current infrastructure architecture and introduce patterns that enable workloads to operate portably across both Azure and AWS environments
• Improve Kubernetes platform reliability by refining autoscaling policies, workload isolation, and cluster lifecycle management
• Partner with Fullstack and ML teams to reduce infrastructure friction around environments, networking, and resource provisioning

What You'll Need

• Bachelor's degree in Computer Science, Engineering, or a related field
• 5+ years of experience operating production cloud infrastructure at scale
• Deep experience with at least one major cloud provider (Azure or AWS) and working familiarity with the other
• Hands-on experience with Kubernetes and Docker for running containerized workloads in production environments
• Proficiency with Terraform or equivalent Infrastructure-as-Code tooling for provisioning and managing cloud infrastructure
• Experience implementing automated deployment pipelines using tools such as GitHub Actions, GitLab CI, or similar platforms
• Strong operational mindset with a focus on reliability, automation, and clear technical documentation

Nice to Have

• Experience with observability tooling such as Prometheus, ELK, OpenTelemetry, or similar logging, metrics, and monitoring systems
• Familiarity supporting ML infrastructure workloads including pipeline orchestration, model deployment, and scalable inference environments
• Experience working in logistics, robotics-adjacent platforms, or real-time distributed systems
• Track record of translating application requirements into secure, reliable, and operationally safe infrastructure architecture
• Exposure to cloud cost visibility and optimization practices
• Experience introducing infrastructure governance standards including templates, security baselines, and operational documentation

About Us

Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery.

If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

You’ll work most closely with the fullstack engineering team and their leads, collaborating regularly with the cloud engineering team on API and backend testing, and with the ML team for feature validation. Cross-departmentally, you’ll work with Product Management on acceptance criteria and release readiness, and with Customer Support on field-reported issues.

About the Role

We are looking for a Senior QA Engineer to own the end-to-end test automation strategy for Gather AI’s fullstack platform. You will build and maintain Playwright-based E2E test suites, design API automation coverage, integrate tests into CI/CD pipelines, and develop a structured evaluation framework for LLM-powered features.

This is a greenfield opportunity to shape QA practices and tooling from the ground up at a production AI/robotics company — not a ticket-closing QA factory. Your work directly affects product quality for real customers.

What You’ll Do

• Build and maintain Playwright-based E2E test automation suites covering critical user workflows, API validation, and edge case handling across web applications
• Design and implement a comprehensive API automation framework for backend services, including REST endpoint coverage and data validation
• Integrate automated test suites into CI/CD pipelines (GitHub Actions) with reporting, failure alerting, and quality gates
• Develop a structured LLM tool evaluation framework — defining test methodologies, evaluation criteria, and repeatable benchmarks for AI/ML-powered features
• Identify and address gaps in test coverage, flaky tests, and QA technical debt; drive adoption of quality metrics (test coverage, defect escape rate, automation coverage)
• Collaborate with engineering leads, Product, and Customer Support to define release readiness criteria and prioritize regression coverage

What You’ll Need

• 5–8+ years of QA/test engineering experience with a strong focus on automation
• Hands-on Playwright experience building and maintaining E2E test suites (TypeScript/JavaScript)
• API test automation expertise using tools such as Playwright API testing, Postman/Newman, or pytest
• CI/CD integration experience (GitHub Actions, Jenkins, or similar) with test pipeline design and reporting
• BS in Computer Science, Engineering, or a related field; solid functional testing fundamentals and strong analytical thinking

Nice to Have

• Experience or aptitude for LLM/AI tool evaluation (prompt testing, output quality assessment, hallucination detection)
• Performance or load testing experience (k6, Locust, JMeter, or similar)
• Experience with database testing and data validation (SQL, data pipeline verification)
• Familiarity with Docker or containerized test environments

Overview

We are looking for Senior Software Engineers based in Hyderabad to join the engineering team to help with our ongoing growth and expansion! Your focus would be on building products using Javascript and Typescript and a core Object-Oriented Programming language like Java/C++/C#. We have a complete CI/CD software lifecycle and an evolving services-oriented architecture hosted in AWS. We require Senior Software Engineers with a strong focus on AI-Native development. Proficiency in utilizing various Agentic coding tools to significantly amplify impact and accelerate implementations is essential for this role.

As a Senior Software Engineer, you’ll help shape how students, educators, and institutions interact with our technology. Whether it’s building a seamless class discovery flow, improving accessibility and performance, or integrating AI into real-time classroom experiences, your work will directly impact how people learn every day. You’ll collaborate with Product, Design, and Engineering to create fast, elegant, and responsive interfaces that bring our innovations to life.

About Nerdy:

At Nerdy (NYSE: NRDY) -  the company behind Varsity Tutors - we’re redrawing the blueprint of learning. Our Live + AI™ platform fuses real-time human expertise with proprietary generative-AI systems, setting a new bar for measurable academic impact at global scale. We recruit the kind of technologists and operators you’d bet on as solo founders - people who turn ambiguous problems into shipping code, iterate faster than markets move, and compound their advantage with every data point. In an era where great employees can deliver 10-times the leverage of the merely good, we back those who play to win.

Fortune favors the bold. Join us.

How we compete:

• AI-Native at every level
  From the CEO to day-one hires, everyone builds and ships with generative AI. If you’re not wielding AI, you’re not done.

• Entrepreneurial velocity
  Move at founder speed, prototype in hours, and measure in real user outcomes. Slow teams die.

• Free-market rigor
  Ideas rise or fall on merit and results - no committees, no politics, no cap on upside.

• Full-stack ownership
  You design, build, and run what you ship; accountability is a feature, not a bug.

• Reward for contribution
  Pay rises with impact, not years. Outstanding results earn outsized rewards. We evaluate both what you achieve and howyou achieve it: living our leadership principles and using AI effectively are formally measured and rewarded.

• Relentless exploration
  Push the frontier of generative AI in live learning and - because only the paranoid survive - questioning every legacy assumption along the way.

• Is Apolitical
  You stay focused on mission-aligned outcomes, not distractions or unrelated causes.

If you’re a technically minded builder who thrives on open competition, personal responsibility, and the chance to redefine how the world learns - while continually stretching the limits of what generative AI can do - come do the most ambitious and rewarding work of your career here. Learn more at nerdy.com.

Nerdy’s shareholder letters below explain our latest products and strategy:

• Q4-2025 Shareholder Letter
• Q3-2025 Shareholder Letter
• Q2-2025 Shareholder Letter

Qualifications:

• Experience with Javascript and Typescript.
• Experience with a core Object-Oriented Programming language like Java/C++/C#
• Familiarity with backend services & technologies is a plus
• Experience with deployment systems (e.g. GitHub Actions, AWS CodeDeploy).
• Familiarity with AWS Services (e.g. RDS, Lambda, EC2, et cetera).
• Familiarity with the Linux operating system and command-line tools.
• Understanding of OO design, algorithms, and data structures.
• Aptitude to quickly learn new languages and technologies as necessary.
• Experience developing websites that are visited by thousands of visitors daily.
• Experience with enhancing SEO performance.
• Experienced with AI-native tools that enhance productivity and speed (e.g., Cursor, Make, Supabase, Netlify, Claude Code, n8n, Firecrawl, ChatGPT, Grok, Bolt, Vercel, etc).
• Understand and appreciate that Nerdy is an apolitical company and that we can have the largest impact if we are united in our focus on helping people learn and not divided or distracted by advancing unrelated causes.
• Computer Science or related degree preferred.
• Fluent in English.

Responsibilities:

• Write performant, maintainable code that is easy to read and well-documented.
• Write automated tests to thoroughly validate the correctness of your code.
• Deploy large-scale web applications.
• Have a focus on quality, and operate iteratively to get from good to better.
• Be a part of your team’s on-call rotation; we all own our code end-to-end from development to deployment to operations.
• Come ready to learn from some of the best and brightest in the industry.
• Work independently and collaboratively in a dynamic and fast-moving team.
• Be effective in a team environment working with fellow engineers, product management, and design.

Unlock Your Full Potential at Nerdy:

Join our worldwide team—work from home, get great pay, and help shape the future of learning. Here’s what you get:

• Competitive Compensation: Enjoy a market-leading rate.
• 100% Remote (Home Country Only): Work from anywhere in your home country—no relocation required, no borders crossed.
• Flexible Time Off: Our flexible PTO lets you recharge on your own terms and when you need it the most.
• Local Holiday Pay: We honor your nation’s official holidays with paid time off—celebrate what matters to you.
• Continuous Learning: Get a free, all-inclusive learning membership for you and your household—including 1-on-1 tutoring hours, unlimited on-demand classes, and access to our full suite of learning products and services.
• Supercharge with AI: Gain exclusive access to cutting-edge AI tools that boost your productivity, making you feel almost super-human (cape not included).

The Bottom Line:

If you're driven by impact, energized by ownership, and excited to help shape what’s next, you’ll thrive here. We move fast, think big, and reward those who deliver. This isn’t a traditional corporate environment - it’s a place to do the most meaningful work of your career.

Position Overview: 

We are seeking a highly skilled Mobile Automation QA Engineer with expertise in Selenium, Appium and Java to join our dynamic team. As a Mobile Automation QA Engineer, you will be responsible for designing, developing, and executing automated test scripts for our mobile applications. The ideal candidate should possess a strong understanding of mobile testing methodologies and be adept at utilizing Appium for automation testing.

Roles and Responsibilities:

• Design, execute, and maintain test cases to ensure the quality and reliability of mobile applications across various platforms.
• Collaborate with the development and QA teams to identify and resolve software defects and inconsistencies.
• Conduct thorough regression testing to identify and address potential issues before product releases.
• Perform in-depth analysis of test results and provide comprehensive reports to the relevant stakeholders.
•  Stay updated with the latest industry trends and best practices in mobile automation testing.

Must Have Skills:

• Overall with 10 years with 7+ years of relevant experience in test automation.
• Strong programming skills in Java, Kotlin, Python, or JavaScript (at least one required).
• Hands-on experience with automation frameworks (e.g., Selenium, Appium, etc.).
• Knowledge of CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI, CircleCI).
• Proficiency with ADB commands for mobile testing.
• Strong problem-solving, debugging, and maintenance skills.
• Familiarity with  testing cycle, execution, and defect management.
• Excellent communication skills for cross-team collaboration and stakeholder interaction.
• Experience with Git/GitHub for version control.

 (Work from Office - Night shift - 5:30PM - 1:30AM IST) 

Good to Have Skills:

• Exposure to Maestro for mobile test automation.

Qualification:

• BE/B.Tech or Equivalent degree in Computer Science or related field.

Location:

Hyderabad 

Website :  https://www.nomiso.io/

As a Senior Full Stack Developer, you will leverage your 8+ years of experience to play a pivotal role in the design, development, and maintenance of our core applications. This hands-on technical leadership position involves both front-end and back-end development, utilizing Java for server-side logic and React for the user interface. Beyond writing code, you will mentor junior developers, conduct code reviews, and actively contribute to shaping our technical architecture and best practices.Key Responsibilities

• Lead the architectural design and development of highly scalable, performant web applications using Java, Spring Boot, and React.
• Produce clean, maintainable, and efficient code for both front-end and back-end components.
• Collaborate effectively with product managers, designers, and fellow engineers to translate business requirements into robust technical solutions.
• Provide mentorship and guidance to junior developers, fostering an environment of continuous learning and professional growth.
• Conduct comprehensive code reviews to uphold code quality, optimize performance, and ensure adherence to established best practices.
• Design and maintain resilient RESTful APIs.
• Manage and optimize database schemas and queries across SQL and NoSQL databases.
• Implement and maintain a comprehensive suite of unit, integration, and end-to-end tests.
• Stay abreast of emerging technologies and champion their adoption when strategically beneficial.

Required Skills & Qualifications:

• 8+ years of professional software engineering experience.
• Demonstrated expertise in Java development, including strong proficiency with the Spring Framework (Spring Boot, Spring Security, etc.).
• Extensive experience with React.js and its fundamental principles.
• Proficiency with front-end build tools (Webpack, Babel) and state management libraries (Redux, Context API).
• Solid understanding of database design and practical experience with relational databases (PostgreSQL, MySQL) or NoSQL databases (MongoDB).
• Familiarity with leading cloud platforms (AWS, Azure, or GCP).
• Experience with containerization technologies (Docker, Kubernetes).
• In-depth knowledge of the Software Development Life Cycle (SDLC) and agile methodologies.
• Exceptional problem-solving, communication, and leadership capabilities.

Desirable Skills:

• Experience with microservices architecture.
• Knowledge of CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions).
• Experience with message queues (Kafka, RabbitMQ).
• Familiarity with GraphQL.

Position Overview: 

We are seeking a highly skilled Mobile Automation QA Engineer with expertise in Selenium, Appium and Java to join our dynamic team. As a Mobile Automation QA Engineer, you will be responsible for designing, developing, and executing automated test scripts for our mobile applications. The ideal candidate should possess a strong understanding of mobile testing methodologies and be adept at utilizing Appium for automation testing.

Roles and Responsibilities:

• Design, execute, and maintain test cases to ensure the quality and reliability of mobile applications across various platforms.
• Collaborate with the development and QA teams to identify and resolve software defects and inconsistencies.
• Conduct thorough regression testing to identify and address potential issues before product releases.
• Perform in-depth analysis of test results and provide comprehensive reports to the relevant stakeholders.
•  Stay updated with the latest industry trends and best practices in mobile automation testing.

Must Have Skills:

• Overall with 10 years with 7+ years of relevant experience in test automation.
• Strong programming skills in Java, Kotlin, Python, or JavaScript (at least one required).
• Hands-on experience with automation frameworks (e.g., Selenium, Appium, etc.).
• Knowledge of CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI, CircleCI).
• Proficiency with ADB commands for mobile testing.
• Strong problem-solving, debugging, and maintenance skills.
• Familiarity with  testing cycle, execution, and defect management.
• Excellent communication skills for cross-team collaboration and stakeholder interaction.
• Experience with Git/GitHub for version control.

 (Work from Office - Night shift - 5:30PM - 1:30AM IST) 

Good to Have Skills:

• Exposure to Maestro for mobile test automation.

Qualification:

• BE/B.Tech or Equivalent degree in Computer Science or related field.

Location:

Hyderabad 

Website :  https://www.nomiso.io/