Responsibilities

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

In this role, you will also be responsible to:

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

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

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

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

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

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

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

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

Requirements

Qualifications / Experience / Technical Skills / Soft Skills

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

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

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

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform and Kubernetes.

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

• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.

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

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

• Experience optimizing CI/CD workflows and automating deployments.

• Understanding of Vault or other secrets management systems.

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

Tech Stack

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

(REQ ID: 2736)

Responsibilities

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform . You will work closely with engineers across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

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

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

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

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

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

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

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

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

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

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

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

Requirements

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

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

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

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform, Kubernetes. 

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

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

• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.

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

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

• Understanding of Vault or other secrets management systems.

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

Tech Stack

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

(REQ ID: )

Responsibilities

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

Responsibilities

We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption. 

 In this role, you will also be responsible to:

• Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).

• Write well designed, testable, efficient code in Ruby and GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Provide technical leadership. Work with other teams on shared projects.

• Evaluate and propose improvements to existing systems.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization.

• We always explore new technologies and work with Rust and Wasm can be foreseen.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Excellent understanding of distributed systems patterns and algorithms.

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Excellent understanding of network protocols and stacks.

• Excellent understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of all common basic data structures and algorithms and how they are used is a must.

• Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.

• At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)

• Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines is a plus.

• Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).

Soft Skills / Personal Characteristics

• Ability to technically lead projects. Work with requirements, cost analysis.

• Readiness to work remotely with teams distributed across the world and timezones.

(REQ ID: 2343)

Responsibilities

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

Responsibilities

We are looking for a Senior Rust Software Developer. In this role, you will also be responsible to:

• Building new products inside the company.

• Develop new code with Rust, and deal with existing Go/Ruby code

• Create PoC in the new areas and drive them to production or drop them away.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience writing, shipping, and maintaining Rust code (2+ years), and experience with other languages (Ruby, Python, Go, JS, Java, etc.)
  
  
• Knowledge of basic data structures and algorithms, multiprocessing, memory management.
  
  
• Experience developing high-performance asynchronous applications with Rust (preferably tokio).
  
  
• Good understanding of network protocols and stacks.
  
  
• Good understanding of DB technologies: classic databases and modern no-SQL.
  
  
• Basic knowledge of DevOps practices and tools
  
  
• Understanding of Linux environment
  
  
• Golang/Ruby knowledge is a plus
  
  
• Experience working with WASM is a plus
  
  
• Open Source contributions is a plus

Soft Skills / Personal Characteristics

• Readiness to work remotely with teams distributed across the world and timezones
  
  
• Spoken English (at the level enough to pass the technical interview and later work with colleagues)
  
  
• Being a result-oriented problem solver.
  
  
• Prefers coming up with proposals in problematic areas, rather than being passive.
  
  
• Being open to new technologies and switching between projects.
  
  
• Readiness to travel for business

(REQ ID: 2682)

We are looking for a Distributed Systems Engineer with experience in building high-performing, scalable, enterprise-grade applications. You will be responsible for building API interfaces (for customers, UI team etc). You will be responsible for building a high performance queuing/storage engine. You will collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will work in a polyglot environment where you can learn new languages and technologies whilst working with an enthusiastic team.

Responsibilities

• Responsibilities include designing and developing high-volume, low-latency applications for mission-critical systems and delivering high-availability and performance

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code

• Evaluate and propose improvements to existing system

Requirements

• 5+ years of industry experience

• Experience building and shipping large-scale, reliable, highly distributed systems

• Systems-level programming experience, especially in C, Go, Rust

• Expertise in L2, L3, and/or L4 networking protocols

• Good understanding of Linux networking and security

• Experience building on top of Linux kernel networking primitives – netfilter, nftables, eBPF, tc, network namespaces, etc

• Experience with large-scale distributed data pipelines, from data structuring to efficient querying to data analysis

• Experience of working with public cloud infrastructure providers (AWS/Azure/Google Cloud)

• Understanding of Kubernetes concepts

• Excellent debugging and optimization skills

• Understanding at the protocol level, including the differences between what the specs say, and what actually happens on the Internet

• Contributions to open source projects is a plus

• Excited by the idea of optimizing complex solutions to general problems

• Attention to detail and ability to solve complex customer problems

• Own solutions end-to-end and driving the design, development, and deployment process

• Able to work across teams and level common, sustainable solutions

Responsibilities

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

Responsibilities

We are looking for an exceptional Senior Software Engineer to join our growing team. In this role, you will be responsible for building API interfaces and backend infrastructure and collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will also be responsible to:

• Build complex Ruby on Rails applications.

• Build server side infrastructure for Workato user interface.

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code.

• Evaluate and propose improvements to existing system.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience developing, shipping and maintaining Rails applications (5+ years)

• Vast knowledge of Ruby

• BS/MS degree in Computer Science, Engineering or a related subject

• Solid knowledge of object-oriented programming and design

• Experience with Redis/Memcache based caching, RDBMS engines(Postgres)

• Solid knowledge of object-oriented programming and design

• Contributions to open source projects is a plus

Soft Skills / Personal Characteristics

• Excellent debugging, analytical, problem solving, and social skills

(REQ ID: 2380)

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

Responsibilities

We are looking for an exceptional Senior Software Engineer to join our growing team. In this role, you will be responsible for building API interfaces and backend infrastructure and collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will also be responsible to:

• Build complex Ruby on Rails applications.

• Build server side infrastructure for Workato user interface.

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code.

• Evaluate and propose improvements to existing system.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience developing, shipping and maintaining Rails applications (5+ years)

• Vast knowledge of Ruby

• BS/MS degree in Computer Science, Engineering or a related subject

• Solid knowledge of object-oriented programming and design

• Experience with Redis/Memcache based caching, RDBMS engines(Postgres)

• Solid knowledge of object-oriented programming and design

• Contributions to open source projects is a plus

Soft Skills / Personal Characteristics

• Excellent debugging, analytical, problem solving, and social skills

(REQ ID: 2380)

Responsibilities

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

Responsibilities

We are looking for an exceptional Senior Software Engineer to join our growing team. In this role, you will be responsible for building API interfaces and backend infrastructure and collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will also be responsible to:

• Build complex Ruby on Rails applications.

• Build server side infrastructure for Workato user interface.

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code.

• Evaluate and propose improvements to existing system.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience developing, shipping and maintaining Rails applications (5+ years)

• Vast knowledge of Ruby

• BS/MS degree in Computer Science, Engineering or a related subject

• Solid knowledge of object-oriented programming and design

• Experience with Redis/Memcache based caching, RDBMS engines(Postgres)

• Solid knowledge of object-oriented programming and design

• Contributions to open source projects is a plus

Soft Skills / Personal Characteristics

• Excellent debugging, analytical, problem solving, and social skills

(REQ ID: 2380)

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

Responsibilities

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

Responsibilities

We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:

• Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.

• Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.

• Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.

• Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.

• Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.

• Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.

• Develop and enhance monitoring, validation, and observability for production-grade AI solutions.

• Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.

• Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.

• Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.

Example Projects

• Building an evaluation and observability framework for AI model performance and reliability.

• Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.

• Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.

• Designing AI services that process and reason over high-volume real-world data at scale.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5+ years of experience as a Software Engineer, with strong proficiency in Python.

• Proven track record of building and maintaining production-grade systems using Python.

• Strong understanding of distributed systems, API design, and data-driven architectures.

• Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).

• Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.

• Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).

• Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD

Preferred Skills

• Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).

• Background in developer platforms or AI infrastructure services.

• Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.

• Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.

• Experience developing enterprise-scale SaaS or distributed backend systems.

• Contributions to open-source projects in Python, AI, or infrastructure engineering.

Soft Skills / Personal Characteristics

• Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.

• Collaborative and proactive approach, comfortable working across teams in a dynamic environment.

• Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.

• Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.

(REQ ID: 2459)

Responsibilities

We are looking for a Senior Rust Software Developer. In this role, you will also be responsible to:

• Building new products inside the company.

• Develop new code with Rust, and deal with existing Go/Ruby code

• Create PoC in the new areas and drive them to production or drop them away.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience writing, shipping, and maintaining Rust code (2+ years), and experience with other languages (Ruby, Python, Go, JS, Java, etc.)
  
  
• Knowledge of basic data structures and algorithms, multiprocessing, memory management.
  
  
• Experience developing high-performance asynchronous applications with Rust (preferably tokio).
  
  
• Good understanding of network protocols and stacks.
  
  
• Good understanding of DB technologies: classic databases and modern no-SQL.
  
  
• Basic knowledge of DevOps practices and tools
  
  
• Understanding of Linux environment
  
  
• Golang/Ruby knowledge is a plus
  
  
• Experience working with WASM is a plus
  
  
• Open Source contributions is a plus

Soft Skills / Personal Characteristics

• Readiness to work remotely with teams distributed across the world and timezones
  
  
• Spoken English (at the level enough to pass the technical interview and later work with colleagues)
  
  
• Being a result-oriented problem solver.
  
  
• Prefers coming up with proposals in problematic areas, rather than being passive.
  
  
• Being open to new technologies and switching between projects.
  
  
• Readiness to travel for business

(REQ ID: 2682)

Responsibilities

We are looking for an exceptional Senior Software Engineer to join our growing team. In this role, you will be responsible for building API interfaces and backend infrastructure and collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will also be responsible to:

• Build complex Ruby on Rails applications.

• Build server side infrastructure for Workato user interface.

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code.

• Evaluate and propose improvements to existing system.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience developing, shipping and maintaining Rails applications (5+ years)

• Vast knowledge of Ruby

• BS/MS degree in Computer Science, Engineering or a related subject

• Solid knowledge of object-oriented programming and design

• Experience with Redis/Memcache based caching, RDBMS engines(Postgres)

• Solid knowledge of object-oriented programming and design

• Contributions to open source projects is a plus

Soft Skills / Personal Characteristics

• Excellent debugging, analytical, problem solving, and social skills

(REQ ID: 2380)

Responsibilities

We are looking for an exceptional Senior Software Engineer to join our growing team. In this role, you will be responsible for building API interfaces and backend infrastructure and collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will also be responsible to:

• Build complex Ruby on Rails applications.

• Build server side infrastructure for Workato user interface.

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code.

• Evaluate and propose improvements to existing system.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience developing, shipping and maintaining Rails applications (5+ years)

• Vast knowledge of Ruby

• BS/MS degree in Computer Science, Engineering or a related subject

• Solid knowledge of object-oriented programming and design

• Experience with Redis/Memcache based caching, RDBMS engines(Postgres)

• Solid knowledge of object-oriented programming and design

• Contributions to open source projects is a plus

Soft Skills / Personal Characteristics

• Excellent debugging, analytical, problem solving, and social skills

(REQ ID: 2380)

Responsibilities

We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption. 

 In this role, you will also be responsible to:

• Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).

• Write well designed, testable, efficient code in Ruby and GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Provide technical leadership. Work with other teams on shared projects.

• Evaluate and propose improvements to existing systems.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization.

• We always explore new technologies and work with Rust and Wasm can be foreseen.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Excellent understanding of distributed systems patterns and algorithms.

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Excellent understanding of network protocols and stacks.

• Excellent understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of all common basic data structures and algorithms and how they are used is a must.

• Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.

• At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)

• Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines is a plus.

• Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).

Soft Skills / Personal Characteristics

• Ability to technically lead projects. Work with requirements, cost analysis.

• Readiness to work remotely with teams distributed across the world and timezones.

(REQ ID: 2343)

Responsibilities

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

Responsibilities

We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:

• Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.

• Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.

• Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.

• Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.

• Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.

• Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.

• Develop and enhance monitoring, validation, and observability for production-grade AI solutions.

• Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.

• Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.

• Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.

Example Projects

• Building an evaluation and observability framework for AI model performance and reliability.

• Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.

• Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.

• Designing AI services that process and reason over high-volume real-world data at scale.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5+ years of experience as a Software Engineer, with strong proficiency in Python.

• Proven track record of building and maintaining production-grade systems using Python.

• Strong understanding of distributed systems, API design, and data-driven architectures.

• Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).

• Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.

• Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).

• Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD

Preferred Skills

• Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).

• Background in developer platforms or AI infrastructure services.

• Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.

• Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.

• Experience developing enterprise-scale SaaS or distributed backend systems.

• Contributions to open-source projects in Python, AI, or infrastructure engineering.

Soft Skills / Personal Characteristics

• Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.

• Collaborative and proactive approach, comfortable working across teams in a dynamic environment.

• Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.

• Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.

(REQ ID: 2459)

Responsibilities

We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption. 

 In this role, you will also be responsible to:

• Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).

• Write well designed, testable, efficient code in Ruby and GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Provide technical leadership. Work with other teams on shared projects.

• Evaluate and propose improvements to existing systems.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization.

• We always explore new technologies and work with Rust and Wasm can be foreseen.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Excellent understanding of distributed systems patterns and algorithms.

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Excellent understanding of network protocols and stacks.

• Excellent understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of all common basic data structures and algorithms and how they are used is a must.

• Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.

• At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)

• Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines is a plus.

• Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).

Soft Skills / Personal Characteristics

• Ability to technically lead projects. Work with requirements, cost analysis.

• Readiness to work remotely with teams distributed across the world and timezones.

(REQ ID: 2343)

Responsibilities

We are looking for a Senior Rust Software Developer. In this role, you will also be responsible to:

• Building new products inside the company.

• Develop new code with Rust, and deal with existing Go/Ruby code

• Create PoC in the new areas and drive them to production or drop them away.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience writing, shipping, and maintaining Rust code (2+ years), and experience with other languages (Ruby, Python, Go, JS, Java, etc.)
  
  
• Knowledge of basic data structures and algorithms, multiprocessing, memory management.
  
  
• Experience developing high-performance asynchronous applications with Rust (preferably tokio).
  
  
• Good understanding of network protocols and stacks.
  
  
• Good understanding of DB technologies: classic databases and modern no-SQL.
  
  
• Basic knowledge of DevOps practices and tools
  
  
• Understanding of Linux environment
  
  
• Golang/Ruby knowledge is a plus
  
  
• Experience working with WASM is a plus
  
  
• Open Source contributions is a plus

Soft Skills / Personal Characteristics

• Readiness to work remotely with teams distributed across the world and timezones
  
  
• Spoken English (at the level enough to pass the technical interview and later work with colleagues)
  
  
• Being a result-oriented problem solver.
  
  
• Prefers coming up with proposals in problematic areas, rather than being passive.
  
  
• Being open to new technologies and switching between projects.
  
  
• Readiness to travel for business

(REQ ID: 2682)

Responsibilities

We are looking for a Senior Rust Software Developer. In this role, you will also be responsible to:

• Building new products inside the company.

• Develop new code with Rust, and deal with existing Go/Ruby code

• Create PoC in the new areas and drive them to production or drop them away.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience writing, shipping, and maintaining Rust code (2+ years), and experience with other languages (Ruby, Python, Go, JS, Java, etc.)
  
  
• Knowledge of basic data structures and algorithms, multiprocessing, memory management.
  
  
• Experience developing high-performance asynchronous applications with Rust (preferably tokio).
  
  
• Good understanding of network protocols and stacks.
  
  
• Good understanding of DB technologies: classic databases and modern no-SQL.
  
  
• Basic knowledge of DevOps practices and tools
  
  
• Understanding of Linux environment
  
  
• Golang/Ruby knowledge is a plus
  
  
• Experience working with WASM is a plus
  
  
• Open Source contributions is a plus

Soft Skills / Personal Characteristics

• Readiness to work remotely with teams distributed across the world and timezones
  
  
• Spoken English (at the level enough to pass the technical interview and later work with colleagues)
  
  
• Being a result-oriented problem solver.
  
  
• Prefers coming up with proposals in problematic areas, rather than being passive.
  
  
• Being open to new technologies and switching between projects.
  
  
• Readiness to travel for business

(REQ ID: 2682)

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

Responsibilities

We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption. 

 In this role, you will also be responsible to:

• Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).

• Write well designed, testable, efficient code in Ruby and GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Provide technical leadership. Work with other teams on shared projects.

• Evaluate and propose improvements to existing systems.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization.

• We always explore new technologies and work with Rust and Wasm can be foreseen.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Excellent understanding of distributed systems patterns and algorithms.

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Excellent understanding of network protocols and stacks.

• Excellent understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of all common basic data structures and algorithms and how they are used is a must.

• Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.

• At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)

• Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines is a plus.

• Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).

Soft Skills / Personal Characteristics

• Ability to technically lead projects. Work with requirements, cost analysis.

• Readiness to work remotely with teams distributed across the world and timezones.

(REQ ID: 2343)

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

Responsibilities

We are looking for an exceptional Senior Software Engineer to join our growing team. In this role, you will be responsible for building API interfaces and backend infrastructure and collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will also be responsible to:

• Build complex Ruby on Rails applications.

• Build server side infrastructure for Workato user interface.

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code.

• Evaluate and propose improvements to existing system.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience developing, shipping and maintaining Rails applications (5+ years)

• Vast knowledge of Ruby

• BS/MS degree in Computer Science, Engineering or a related subject

• Solid knowledge of object-oriented programming and design

• Experience with Redis/Memcache based caching, RDBMS engines(Postgres)

• Solid knowledge of object-oriented programming and design

• Contributions to open source projects is a plus

Soft Skills / Personal Characteristics

• Excellent debugging, analytical, problem solving, and social skills

(REQ ID: 2380)

We are looking for a Distributed Systems Engineer with experience in building high-performing, scalable, enterprise-grade applications. You will be responsible for building API interfaces (for customers, UI team etc). You will be responsible for building a high performance queuing/storage engine. You will collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will work in a polyglot environment where you can learn new languages and technologies whilst working with an enthusiastic team.

Responsibilities

• Responsibilities include designing and developing high-volume, low-latency applications for mission-critical systems and delivering high-availability and performance

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code

• Evaluate and propose improvements to existing system

Requirements

• 5+ years of industry experience

• Experience building and shipping large-scale, reliable, highly distributed systems

• Systems-level programming experience, especially in C, Go, Rust

• Expertise in L2, L3, and/or L4 networking protocols

• Good understanding of Linux networking and security

• Experience building on top of Linux kernel networking primitives – netfilter, nftables, eBPF, tc, network namespaces, etc

• Experience with large-scale distributed data pipelines, from data structuring to efficient querying to data analysis

• Experience of working with public cloud infrastructure providers (AWS/Azure/Google Cloud)

• Understanding of Kubernetes concepts

• Excellent debugging and optimization skills

• Understanding at the protocol level, including the differences between what the specs say, and what actually happens on the Internet

• Contributions to open source projects is a plus

• Excited by the idea of optimizing complex solutions to general problems

• Attention to detail and ability to solve complex customer problems

• Own solutions end-to-end and driving the design, development, and deployment process

• Able to work across teams and level common, sustainable solutions

We are looking for a Distributed Systems Engineer with experience in building high-performing, scalable, enterprise-grade applications. You will be responsible for building API interfaces (for customers, UI team etc). You will be responsible for building a high performance queuing/storage engine. You will collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will work in a polyglot environment where you can learn new languages and technologies whilst working with an enthusiastic team.

Responsibilities

• Responsibilities include designing and developing high-volume, low-latency applications for mission-critical systems and delivering high-availability and performance

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code

• Evaluate and propose improvements to existing system

Requirements

• 5+ years of industry experience

• Experience building and shipping large-scale, reliable, highly distributed systems

• Systems-level programming experience, especially in C, Go, Rust

• Expertise in L2, L3, and/or L4 networking protocols

• Good understanding of Linux networking and security

• Experience building on top of Linux kernel networking primitives – netfilter, nftables, eBPF, tc, network namespaces, etc

• Experience with large-scale distributed data pipelines, from data structuring to efficient querying to data analysis

• Experience of working with public cloud infrastructure providers (AWS/Azure/Google Cloud)

• Understanding of Kubernetes concepts

• Excellent debugging and optimization skills

• Understanding at the protocol level, including the differences between what the specs say, and what actually happens on the Internet

• Contributions to open source projects is a plus

• Excited by the idea of optimizing complex solutions to general problems

• Attention to detail and ability to solve complex customer problems

• Own solutions end-to-end and driving the design, development, and deployment process

• Able to work across teams and level common, sustainable solutions

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

Responsibilities

We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:

• Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.

• Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.

• Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.

• Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.

• Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.

• Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.

• Develop and enhance monitoring, validation, and observability for production-grade AI solutions.

• Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.

• Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.

• Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.

Example Projects

• Building an evaluation and observability framework for AI model performance and reliability.

• Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.

• Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.

• Designing AI services that process and reason over high-volume real-world data at scale.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5+ years of experience as a Software Engineer, with strong proficiency in Python.

• Proven track record of building and maintaining production-grade systems using Python.

• Strong understanding of distributed systems, API design, and data-driven architectures.

• Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).

• Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.

• Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).

• Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD

Preferred Skills

• Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).

• Background in developer platforms or AI infrastructure services.

• Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.

• Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.

• Experience developing enterprise-scale SaaS or distributed backend systems.

• Contributions to open-source projects in Python, AI, or infrastructure engineering.

Soft Skills / Personal Characteristics

• Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.

• Collaborative and proactive approach, comfortable working across teams in a dynamic environment.

• Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.

• Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.

(REQ ID: 2459)

Responsibilities

We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption. 

 In this role, you will also be responsible to:

• Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).

• Write well designed, testable, efficient code in Ruby and GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Provide technical leadership. Work with other teams on shared projects.

• Evaluate and propose improvements to existing systems.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization.

• We always explore new technologies and work with Rust and Wasm can be foreseen.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Excellent understanding of distributed systems patterns and algorithms.

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Excellent understanding of network protocols and stacks.

• Excellent understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of all common basic data structures and algorithms and how they are used is a must.

• Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.

• At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)

• Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines is a plus.

• Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).

Soft Skills / Personal Characteristics

• Ability to technically lead projects. Work with requirements, cost analysis.

• Readiness to work remotely with teams distributed across the world and timezones.

(REQ ID: 2343)

We are looking for a Distributed Systems Engineer with experience in building high-performing, scalable, enterprise-grade applications. You will be responsible for building API interfaces (for customers, UI team etc). You will be responsible for building a high performance queuing/storage engine. You will collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will work in a polyglot environment where you can learn new languages and technologies whilst working with an enthusiastic team.

Responsibilities

• Responsibilities include designing and developing high-volume, low-latency applications for mission-critical systems and delivering high-availability and performance

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code

• Evaluate and propose improvements to existing system

Requirements

• 5+ years of industry experience

• Experience building and shipping large-scale, reliable, highly distributed systems

• Systems-level programming experience, especially in C, Go, Rust

• Expertise in L2, L3, and/or L4 networking protocols

• Good understanding of Linux networking and security

• Experience building on top of Linux kernel networking primitives – netfilter, nftables, eBPF, tc, network namespaces, etc

• Experience with large-scale distributed data pipelines, from data structuring to efficient querying to data analysis

• Experience of working with public cloud infrastructure providers (AWS/Azure/Google Cloud)

• Understanding of Kubernetes concepts

• Excellent debugging and optimization skills

• Understanding at the protocol level, including the differences between what the specs say, and what actually happens on the Internet

• Contributions to open source projects is a plus

• Excited by the idea of optimizing complex solutions to general problems

• Attention to detail and ability to solve complex customer problems

• Own solutions end-to-end and driving the design, development, and deployment process

• Able to work across teams and level common, sustainable solutions

Responsibilities

We are looking for an exceptional Senior Software Engineer to join our growing team. In this role, you will be responsible for building API interfaces and backend infrastructure and collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will also be responsible to:

• Build complex Ruby on Rails applications.

• Build server side infrastructure for Workato user interface.

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code.

• Evaluate and propose improvements to existing system.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience developing, shipping and maintaining Rails applications (5+ years)

• Vast knowledge of Ruby

• BS/MS degree in Computer Science, Engineering or a related subject

• Solid knowledge of object-oriented programming and design

• Experience with Redis/Memcache based caching, RDBMS engines(Postgres)

• Solid knowledge of object-oriented programming and design

• Contributions to open source projects is a plus

Soft Skills / Personal Characteristics

• Excellent debugging, analytical, problem solving, and social skills

(REQ ID: 2380)

Responsibilities

We are looking for a Senior Rust Software Developer. In this role, you will also be responsible to:

• Building new products inside the company.

• Develop new code with Rust, and deal with existing Go/Ruby code

• Create PoC in the new areas and drive them to production or drop them away.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience writing, shipping, and maintaining Rust code (2+ years), and experience with other languages (Ruby, Python, Go, JS, Java, etc.)
  
  
• Knowledge of basic data structures and algorithms, multiprocessing, memory management.
  
  
• Experience developing high-performance asynchronous applications with Rust (preferably tokio).
  
  
• Good understanding of network protocols and stacks.
  
  
• Good understanding of DB technologies: classic databases and modern no-SQL.
  
  
• Basic knowledge of DevOps practices and tools
  
  
• Understanding of Linux environment
  
  
• Golang/Ruby knowledge is a plus
  
  
• Experience working with WASM is a plus
  
  
• Open Source contributions is a plus

Soft Skills / Personal Characteristics

• Readiness to work remotely with teams distributed across the world and timezones
  
  
• Spoken English (at the level enough to pass the technical interview and later work with colleagues)
  
  
• Being a result-oriented problem solver.
  
  
• Prefers coming up with proposals in problematic areas, rather than being passive.
  
  
• Being open to new technologies and switching between projects.
  
  
• Readiness to travel for business

(REQ ID: 2682)

Responsibilities

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

Responsibilities

We are looking for a Senior Rust Software Developer. In this role, you will also be responsible to:

• Building new products inside the company.

• Develop new code with Rust, and deal with existing Go/Ruby code

• Create PoC in the new areas and drive them to production or drop them away.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience writing, shipping, and maintaining Rust code (2+ years), and experience with other languages (Ruby, Python, Go, JS, Java, etc.)
  
  
• Knowledge of basic data structures and algorithms, multiprocessing, memory management.
  
  
• Experience developing high-performance asynchronous applications with Rust (preferably tokio).
  
  
• Good understanding of network protocols and stacks.
  
  
• Good understanding of DB technologies: classic databases and modern no-SQL.
  
  
• Basic knowledge of DevOps practices and tools
  
  
• Understanding of Linux environment
  
  
• Golang/Ruby knowledge is a plus
  
  
• Experience working with WASM is a plus
  
  
• Open Source contributions is a plus

Soft Skills / Personal Characteristics

• Readiness to work remotely with teams distributed across the world and timezones
  
  
• Spoken English (at the level enough to pass the technical interview and later work with colleagues)
  
  
• Being a result-oriented problem solver.
  
  
• Prefers coming up with proposals in problematic areas, rather than being passive.
  
  
• Being open to new technologies and switching between projects.
  
  
• Readiness to travel for business

(REQ ID: 2682)

Responsibilities

We are looking for an exceptional Senior Software Engineer to join our growing team. In this role, you will be responsible for building API interfaces and backend infrastructure and collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will also be responsible to:

• Build complex Ruby on Rails applications.

• Build server side infrastructure for Workato user interface.

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code.

• Evaluate and propose improvements to existing system.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience developing, shipping and maintaining Rails applications (5+ years)

• Vast knowledge of Ruby

• BS/MS degree in Computer Science, Engineering or a related subject

• Solid knowledge of object-oriented programming and design

• Experience with Redis/Memcache based caching, RDBMS engines(Postgres)

• Solid knowledge of object-oriented programming and design

• Contributions to open source projects is a plus

Soft Skills / Personal Characteristics

• Excellent debugging, analytical, problem solving, and social skills

(REQ ID: 2380)