This position is 100% remote

Overview:

As a Senior Software Developer, you will be part of the team that designs and develops microservices in a hybrid-cloud architecture as part of Precisely’s Data Integrity Suite, under the Integration part of the portfolio. You will be deeply involved in the design, development, and unit testing of the applications. You will collaborate with architects, UX experts, product managers, and other software developers for developing solutions. You are expected to be hands-on and up-to-date with the latest technology.

What you will do:

• End-to-end technical ownership of product features
• Responsible for unit-level design, coding, unit testing, integration testing, and participating in the full SDLC
• Participate/own technical designs, participate in discussions, constructively suggest and receive ideas & feedback for solutions
• Collaborate with other team members, and work with cross-functional teams as required to design and develop innovative solutions according to requirements. The practice of peer reviewing code needs to be followed
• Evaluate, learn, and incorporate new technologies into new and existing frameworks and solutions as applicable
• Be agile and embrace change

What we are looking for:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
• Back-end developer with 4-6 years of experience in the industry, involved in design and development of Java applications
• At least 3-4 years of demonstrable experience with cloud technologies in a microservice architecture
• Demonstrated expertise in Java/J2EE, Spring Framework
• Experience writing and consuming REST APIs in building scalable, modern web applications
• Good knowledge of CI/CD processes, and knowledge of Jira, Git, Gradle, and Artifactory
• Knowledge of cloud platforms (AWS, Azure, or GCP)
• Experience with containerization technologies like Docker and Kubernetes
• Hands-on experience with traditional relational databases (e.g. Oracle, SQL Server, PostgreSQL), cloud data warehouses (BigQuery, Snowflake, Databricks), and streaming technologies such as Kafka
• Knowledge of database connectivity using JDBC and/or ODBC
• Knowledge of Db2 for IBM i and/or Db2 for z/OS a plus
• Familiarity with Change Data Capture a plus
• Experience using tools like GitHub Copilot or Claude Code
• Knowledge of AI agents and MCP servers
• Familiarity with spec-driven development (SDD) a plus

#LI-GB1 #LI-Remote 

Overview:

We are building the next generation of our SaaS platform, and we need someone to own the quality architecture that makes it all trustworthy. As a Principal Technology Architect - QA, you will design the systems, standards, and governance that raise the bar for quality across every product segment we ship.

We are an AI-first organization. You will put that into practice by bringing AI-driven testing, intelligent automation, and modern quality tooling into the way our teams work every day. This is a hands-on architecture role, not a policy desk. You will build test frameworks, design quality gates, set reliability targets, and create the shared infrastructure that teams actually adopt because it makes their lives easier.  You will work closely with engineering leadership to connect quality strategy to business outcomes. When you recommend a change, people across the org will listen, because your technical credibility and track record back it up.  You will also mentor engineers, shape how we hire for quality mindset, and help grow the next generation of technical leaders on our teams.  If you get excited about solving hard problems at scale, rethinking how quality works in a modern SaaS org, and leaving things better than you found them, we would love to talk.

What you will do:

• Set the quality architecture direction for the org: design quality gates, define reliability targets, and choose the testing infrastructure that all product segments build on.
• Build and maintain a governance model for quality practices so that standards, processes, and tooling are adopted consistently across engineering teams.
• Design and deliver scalable test automation frameworks that teams can adopt and extend to improve coverage, speed, and confidence in every release.
• Bring AI into quality engineering: evaluate and roll out AI-driven test generation, intelligent test selection, defect prediction, and automated monitoring.
• Own the performance and resilience strategy: set performance budgets, define monitoring standards, and create disaster recovery and incident response frameworks.
• Partner with product and engineering leaders to balance release velocity with system health, making sure teams can ship fast without cutting corners on quality.
• Evaluate and introduce new tools, patterns, and practices that keep our quality approach current as the platform and industry evolve.
• Mentor engineers across teams, raise the bar on how we hire for quality mindset, and contribute to engineering maturity across the organization.
• Represent Precisely externally as a thought leader in quality engineering through talks, writing, or industry engagement.

What we are looking for:

Required:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Equivalent work experience is accepted in place of a degree. An advanced degree is a plus.
• Experience: 15+ years of progressive experience in software quality engineering, test architecture, or related technical leadership roles, with demonstrated org-wide architecture leadership
• Quality architecture: Deep expertise in test automation frameworks, CI/CD pipeline design, quality gate implementation, and testing strategies for large-scale SaaS platforms.
• AI: Hands-on experience applying AI to quality workflows (e.g. AI-driven test generation, intelligent test selection, or automated defect detection)
• Leadership: Track record of driving adoption of technical standards across multiple teams or product areas, including working with leaders who do not report to you
• Travel is required: Yes – Approximately 10%

AI Skills/Knowledge:

• Comfortable using generative AI tools (e.g. GitHub Copilot, Claude Code, or custom LLM integrations) to accelerate day-to-day quality workflows such as test generation, defect triage, and root-cause analysis.
• Able to critically evaluate AI-generated outputs and set guardrails so that AI-produced test artifacts meet reliability, security, and compliance standards.
• Experience evaluating and integrating AI-powered quality tools (e.g. autonomous testing platforms, AI-based test maintenance, predictive analytics for defect detection) into org-wide workflows.
• Open to continuously adopting new AI capabilities as they emerge and excited to shape how the org integrates them into quality practices.

Preferred Skills:

• Experience defining and scaling quality practices across multiple product segments in a large SaaS or cloud-native organization.
• Familiarity with contract testing, chaos engineering, or advanced reliability practices (SLOs/SLIs, error budgets).
• Bonus points for experience establishing quality centers of excellence or community-of-practice models across engineering organizations.
• Exposure to security testing practices, compliance frameworks, or regulated industry quality standards.
• Experience with observability and monitoring platforms (Datadog, Splunk, Grafana, PagerDuty) at an architectural level.
• Track record of representing an organization externally through conference talks, published writing, or industry working groups in quality engineering.

#LI-SR1

Overview:

As Software Engineer - I, this role requires you to oversee all aspects of software and product testing within the team. This may include developing test strategies, designing test documents, identifying bugs, and reviewing testing reports. You will be participating in functional, regression and Database testing of software products.​ 

What you will do:

• You will ​take part in the design phases of new software/product feature development and promotes continuous testing to guarantee an error free final product (20%-time allocation)​ 
• You will ​be identifying potential quality issues and report them to development team. (20%-time allocation)​ 
• You will ​be responsible for identification of test requirements from defined specifications, mapping test case requirements, and designing test coverage plans. (20%-time allocation)​ 
• You will ​be executing both manual and automated test cases (15%-time allocation)​ 
• You will ​be automating test cases using existing Test Automation framework (10%-time allocation)​ 
• You will ​ensure that test scripts/cases are always up to date (10%-time allocation)​ 
• You will ​ensure proper documentation of all executions and prepare detailed failure reports (5%-time allocation)​ 
• Other duties may be assigned. 

What we are looking for:

• 1+ years of software industry experience and successful track record in product testing. 
• BE/BTech/MCA/Equivalent degree in Computer Science or a related technical field from an accredited university or college.
• You have ​worked on defect reporting tools such as JIRA, Bugzilla, VSTS etc.​
• You have ​expertise in creating testcases using Test cases management tools such as VSTS, TestLink etc.​
• You have ​experience in testing tools like Selenium.
• ​ You have ​worked on Agile methodology for software testing and development​.
• You have ​worked interdependently across multiple projects simultaneously.
• You have ​composed clear and concise testing documentation​.
  
  

#LI-SA1

Overview:

What you will do:

What we are looking for:

Overview:

We are building the next generation of our SaaS platform, and we need someone to own the quality architecture that makes it all trustworthy. As a Principal Technology Architect - QA, you will design the systems, standards, and governance that raise the bar for quality across every product segment we ship.

We are an AI-first organization. You will put that into practice by bringing AI-driven testing, intelligent automation, and modern quality tooling into the way our teams work every day. This is a hands-on architecture role, not a policy desk. You will build test frameworks, design quality gates, set reliability targets, and create the shared infrastructure that teams actually adopt because it makes their lives easier.  You will work closely with engineering leadership to connect quality strategy to business outcomes. When you recommend a change, people across the org will listen, because your technical credibility and track record back it up.  You will also mentor engineers, shape how we hire for quality mindset, and help grow the next generation of technical leaders on our teams.  If you get excited about solving hard problems at scale, rethinking how quality works in a modern SaaS org, and leaving things better than you found them, we would love to talk.

What you will do:

• Set the quality architecture direction for the org: design quality gates, define reliability targets, and choose the testing infrastructure that all product segments build on.
• Build and maintain a governance model for quality practices so that standards, processes, and tooling are adopted consistently across engineering teams.
• Design and deliver scalable test automation frameworks that teams can adopt and extend to improve coverage, speed, and confidence in every release.
• Bring AI into quality engineering: evaluate and roll out AI-driven test generation, intelligent test selection, defect prediction, and automated monitoring.
• Own the performance and resilience strategy: set performance budgets, define monitoring standards, and create disaster recovery and incident response frameworks.
• Partner with product and engineering leaders to balance release velocity with system health, making sure teams can ship fast without cutting corners on quality.
• Evaluate and introduce new tools, patterns, and practices that keep our quality approach current as the platform and industry evolve.
• Mentor engineers across teams, raise the bar on how we hire for quality mindset, and contribute to engineering maturity across the organization.
• Represent Precisely externally as a thought leader in quality engineering through talks, writing, or industry engagement.

What we are looking for:

Required:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Equivalent work experience is accepted in place of a degree. An advanced degree is a plus.
• Experience: 15+ years of progressive experience in software quality engineering, test architecture, or related technical leadership roles, with demonstrated org-wide architecture leadership
• Quality architecture: Deep expertise in test automation frameworks, CI/CD pipeline design, quality gate implementation, and testing strategies for large-scale SaaS platforms.
• AI: Hands-on experience applying AI to quality workflows (e.g. AI-driven test generation, intelligent test selection, or automated defect detection)
• Leadership: Track record of driving adoption of technical standards across multiple teams or product areas, including working with leaders who do not report to you
• Travel is required: Yes – Approximately 10%

AI Skills/Knowledge:

• Comfortable using generative AI tools (e.g. GitHub Copilot, Claude Code, or custom LLM integrations) to accelerate day-to-day quality workflows such as test generation, defect triage, and root-cause analysis.
• Able to critically evaluate AI-generated outputs and set guardrails so that AI-produced test artifacts meet reliability, security, and compliance standards.
• Experience evaluating and integrating AI-powered quality tools (e.g. autonomous testing platforms, AI-based test maintenance, predictive analytics for defect detection) into org-wide workflows.
• Open to continuously adopting new AI capabilities as they emerge and excited to shape how the org integrates them into quality practices.

Preferred Skills:

• Experience defining and scaling quality practices across multiple product segments in a large SaaS or cloud-native organization.
• Familiarity with contract testing, chaos engineering, or advanced reliability practices (SLOs/SLIs, error budgets).
• Bonus points for experience establishing quality centers of excellence or community-of-practice models across engineering organizations.
• Exposure to security testing practices, compliance frameworks, or regulated industry quality standards.
• Experience with observability and monitoring platforms (Datadog, Splunk, Grafana, PagerDuty) at an architectural level.
• Track record of representing an organization externally through conference talks, published writing, or industry working groups in quality engineering.

#LI-SR1

This position is 100% remote

Overview:

As a Senior Software Developer, you will be part of the team that designs and develops microservices in a hybrid-cloud architecture as part of Precisely’s Data Integrity Suite, under the Integration part of the portfolio. You will be deeply involved in the design, development, and unit testing of the applications. You will collaborate with architects, UX experts, product managers, and other software developers for developing solutions. You are expected to be hands-on and up-to-date with the latest technology.

What you will do:

• End-to-end technical ownership of product features
• Responsible for unit-level design, coding, unit testing, integration testing, and participating in the full SDLC
• Participate/own technical designs, participate in discussions, constructively suggest and receive ideas & feedback for solutions
• Collaborate with other team members, and work with cross-functional teams as required to design and develop innovative solutions according to requirements. The practice of peer reviewing code needs to be followed
• Evaluate, learn, and incorporate new technologies into new and existing frameworks and solutions as applicable
• Be agile and embrace change

What we are looking for:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
• Back-end developer with 4-6 years of experience in the industry, involved in design and development of Java applications
• At least 3-4 years of demonstrable experience with cloud technologies in a microservice architecture
• Demonstrated expertise in Java/J2EE, Spring Framework
• Experience writing and consuming REST APIs in building scalable, modern web applications
• Good knowledge of CI/CD processes, and knowledge of Jira, Git, Gradle, and Artifactory
• Knowledge of cloud platforms (AWS, Azure, or GCP)
• Experience with containerization technologies like Docker and Kubernetes
• Hands-on experience with traditional relational databases (e.g. Oracle, SQL Server, PostgreSQL), cloud data warehouses (BigQuery, Snowflake, Databricks), and streaming technologies such as Kafka
• Knowledge of database connectivity using JDBC and/or ODBC
• Knowledge of Db2 for IBM i and/or Db2 for z/OS a plus
• Familiarity with Change Data Capture a plus
• Experience using tools like GitHub Copilot or Claude Code
• Knowledge of AI agents and MCP servers
• Familiarity with spec-driven development (SDD) a plus

#LI-GB1 #LI-Remote 

Overview:

What you will do:

What we are looking for:

Overview:

We are looking for a Senior Platform Engineer who will work with senior management, Platform Engineering, QA and development teams to continuously improve the stability, reliability and efficiency of our global SaaS platform through automation solutions and platform tools. This individual will contribute to building the software, automation frameworks, and systems that make our production environment more resilient, enable self-service capabilities, and reduce operational toil through code.

What you will do:

• Design, develop, and maintain automation tools and platform capabilities using Go, Python, or similar. languages to help eliminate manual toil and build self-service components across infrastructure, observability, reliability, and security domains.
• Build and enhance internal tools, integrations, and workflows that improve operational efficiency and developer productivity within the SaaS platform.
• Develop and support automation frameworks for incident response, infrastructure testing, monitoring optimization, and compliance validation including CI/CD pipeline enhancements.
• Help develop observability and monitoring solutions including setting up alerts, contributing to noise reduction systems, automated SLO management, and cost optimization.
• Partner closely with SaaS Engineering to deploy application and infrastructure updates using automation tools.
• Available for on-call duties for incident response, blameless postmortems, and helping translate learnings into automated solutions.
• Contribute to build playbook documentation and procedures.

What we are looking for:

• 5-8 years of experience in software development, platform engineering, SRE, or DevOps with hands-on experience building and maintaining software in production environments.
• Strong programming skills in Go, Python, or similar languages with with experience developing internal tools, automation systems, or developer-facing utilities.
• Strong understanding of Linux fundamentals and ability to design code-based solutions.
• Familiarity with Kubernetes, container technologies, AWS/GCP/Azure, Infrastructure as Code tools (Terraform/CloudFormation/Ansible), Git, and basic CI/CD concepts.
• Understanding of APIs, microservices, and distributed systems concepts.
• Understanding of SRE principles, SaaS service management, and 24x7 production environment operations
• Experience contributing to automation projects, internal tools, or monitoring implementations (i.e. Datadog, Prometheus, Grafana, Backstage) is a plus.
• Experience with Kubernetes operators, controllers, or orchestration concepts is a plus.
• FedRAMP, SOC2, or compliance framework exposure is a plus.

#LI-KM1

Overview:

We are building the next generation of our SaaS platform, and we need someone to own the quality architecture that makes it all trustworthy. As a Principal Technology Architect - QA, you will design the systems, standards, and governance that raise the bar for quality across every product segment we ship.

We are an AI-first organization. You will put that into practice by bringing AI-driven testing, intelligent automation, and modern quality tooling into the way our teams work every day. This is a hands-on architecture role, not a policy desk. You will build test frameworks, design quality gates, set reliability targets, and create the shared infrastructure that teams actually adopt because it makes their lives easier.  You will work closely with engineering leadership to connect quality strategy to business outcomes. When you recommend a change, people across the org will listen, because your technical credibility and track record back it up.  You will also mentor engineers, shape how we hire for quality mindset, and help grow the next generation of technical leaders on our teams.  If you get excited about solving hard problems at scale, rethinking how quality works in a modern SaaS org, and leaving things better than you found them, we would love to talk.

What you will do:

• Set the quality architecture direction for the org: design quality gates, define reliability targets, and choose the testing infrastructure that all product segments build on.
• Build and maintain a governance model for quality practices so that standards, processes, and tooling are adopted consistently across engineering teams.
• Design and deliver scalable test automation frameworks that teams can adopt and extend to improve coverage, speed, and confidence in every release.
• Bring AI into quality engineering: evaluate and roll out AI-driven test generation, intelligent test selection, defect prediction, and automated monitoring.
• Own the performance and resilience strategy: set performance budgets, define monitoring standards, and create disaster recovery and incident response frameworks.
• Partner with product and engineering leaders to balance release velocity with system health, making sure teams can ship fast without cutting corners on quality.
• Evaluate and introduce new tools, patterns, and practices that keep our quality approach current as the platform and industry evolve.
• Mentor engineers across teams, raise the bar on how we hire for quality mindset, and contribute to engineering maturity across the organization.
• Represent Precisely externally as a thought leader in quality engineering through talks, writing, or industry engagement.

What we are looking for:

Required:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Equivalent work experience is accepted in place of a degree. An advanced degree is a plus.
• Experience: 15+ years of progressive experience in software quality engineering, test architecture, or related technical leadership roles, with demonstrated org-wide architecture leadership
• Quality architecture: Deep expertise in test automation frameworks, CI/CD pipeline design, quality gate implementation, and testing strategies for large-scale SaaS platforms.
• AI: Hands-on experience applying AI to quality workflows (e.g. AI-driven test generation, intelligent test selection, or automated defect detection)
• Leadership: Track record of driving adoption of technical standards across multiple teams or product areas, including working with leaders who do not report to you
• Travel is required: Yes – Approximately 10%

AI Skills/Knowledge:

• Comfortable using generative AI tools (e.g. GitHub Copilot, Claude Code, or custom LLM integrations) to accelerate day-to-day quality workflows such as test generation, defect triage, and root-cause analysis.
• Able to critically evaluate AI-generated outputs and set guardrails so that AI-produced test artifacts meet reliability, security, and compliance standards.
• Experience evaluating and integrating AI-powered quality tools (e.g. autonomous testing platforms, AI-based test maintenance, predictive analytics for defect detection) into org-wide workflows.
• Open to continuously adopting new AI capabilities as they emerge and excited to shape how the org integrates them into quality practices.

Preferred Skills:

• Experience defining and scaling quality practices across multiple product segments in a large SaaS or cloud-native organization.
• Familiarity with contract testing, chaos engineering, or advanced reliability practices (SLOs/SLIs, error budgets).
• Bonus points for experience establishing quality centers of excellence or community-of-practice models across engineering organizations.
• Exposure to security testing practices, compliance frameworks, or regulated industry quality standards.
• Experience with observability and monitoring platforms (Datadog, Splunk, Grafana, PagerDuty) at an architectural level.
• Track record of representing an organization externally through conference talks, published writing, or industry working groups in quality engineering.

#LI-SR1

Overview:

What you will do:

What we are looking for: