Principal Software Engineer

Atlassian is a global leader in cloud collaboration, and one of the world’s larg...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
Deep expertise in PostgreSQL, including internals, extension development, performance tuning, and scaling
10+ years of experience in backend software development, with a focus on distributed systems and storage solutions
5+ years of hands-on experience with AWS RDS/Aurora or equivalent cloud database platforms (GCP, Azure)
Demonstrated leadership in technical design, mentoring, and open-source contribution
Ability to drive technical roadmaps, influence architectural decisions, and champion best practices across teams
Experience mentoring engineers and building high-performing, collaborative teams

Job Responsibility

Contribute to open-source projects and represent Atlassian in the broader PostgreSQL community
Lead initiatives to improve scalability, performance, reliability, and security of the self managed Postgres
Collaborate with cross-functional teams to define technical strategy and deliver robust solutions for complex storage challenges
Establish and promote best practices in distributed systems, cloud infrastructure, and cost optimization
Mentor and develop engineers, fostering a culture of technical excellence and continuous learning

What we offer

Health coverage
Paid volunteer days
Wellness resources

Principal Software QA Engineer

Principal Software QA Engineer to lead test architecture and automation strategy...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

10+ years of hands-on QA experience
Designing and building test automation frameworks from scratch
Non-functional testing (scale, reliability, performance, security)
Strong coding skills in Python, Java, or Go
Experience with Pytest, TestNG, JUnit, Playwright or similar tools
Deep understanding of Cloud platforms (AWS, Azure, GCP)
Microservices, Containers (Docker, Kubernetes)
Infrastructure & Data Center management
Linux/VM environments, Storage, Compute, Networking
REST APIs, JSON, SQL/NoSQL

Job Responsibility

Design, automate, and execute system-level test cases focused on scale, reliability, security, and performance
Lead the test automation strategy
evaluate and integrate new tools to improve efficiency and coverage
Collaborate closely with product, development, support, and platform engineering teams to ensure full lifecycle quality coverage
Provide technical leadership and mentorship to QA engineers and partners across teams
Contribute to design reviews with a QA lens to ensure testability and risk mitigation
Maintain and manage multiple product test configurations aligned with diverse deployment environments

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

Software Engineer

As a Software Engineer you will be part of a team of talented developers, busine...

Location

India , Kochi

Salary:

Not provided

Valorem Reply

Expiration Date

Until further notice

Requirements

Bachelor's degree or higher in computer science, engineering, or related field
4 years experience with Microsoft & open source Technologies
Proficient developing web-based interfaces, including: ASP.Net MVC, Angular/React.js and HTML5
JavaScript, jQuery, Typescript
Modern, multi-device and form factor Single Page Applications
Experience working with Microsoft Azure is preferred, including: Compute & Containers - App Service (Web Apps and API Apps) and Containers
Database & Storage - Azure SQL, Storage Accounts and Table Storage
Integration - Service Bus, Event Grid, API Management and Logic Apps
Security - AAD & Key Vault
Azure Management, including deployments, configuration and the SDK

Job Responsibility

Be an active individual contributor on a team: creating working, readable code that fits given business requirements, and participating in code reviews
Understand project scopes, architectural diagrams and requirements to further breakdown more granular requirements and implementing them as part of a project team
Work in an Agile team (Scrum, Kanban, etc.) and be a vocal participant in team meetings
Promote the organization's present technology within a team

Fulltime

Principal Software Developer in Test

The PC/FLex team is seeking a Principal Cloud developer in Test who thrives in a...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Knowledge of complete SDLC and experience in software testing methodology, tools, developing test strategy, test planning and test execution
Strong automation background to be able to own automation strategy and tools required to build a test framework
Strong troubleshooting and analytical skills
Experience in software testing methodology, tools, developing test strategy, test planning and test execution
Knowledge of tools and processes for solution, regression, scale, and performance testing
Experience working in continuous integration and continuous delivery
Self-motivated with excellent verbal and written communication skills
Ideal candidates will have at least 13+ years of relevant experience in developing and supporting automation test frameworks from ground up
Proficiency in programming in Python/Java/Go, Playwright
Experience in the following areas/technologies: Private Cloud experience, Infrastructure & Data Center management experience, SQL/NoSQL DBs, XML, REST APIs, JSON, Web Applications, AWS/GCP/Azure, Docker, Microservices, Containerisation, Kubernetes, CI/CD, Git/Gitlab, Jenkins, LINUX/VM environments, Pytest, TestNG, Junit, Scale/performance testing tools, Storage / Compute / Networking background, KVM / Vmware

Job Responsibility

Design, execute, automate and deploy long running, scale, reliability, and security testcases and report the results
Provide guidance to functional QA teams, manage and expand relationships with other QA partners on software systems test and automation
Review and evaluate designs and provide tangible feedback to improve product quality and mitigate failure risk
Own the automation strategy, guide the team to build automation libraries, and utilize existing tools wherever possible as a part of new feature testing or as a part of the sustaining process for released/deployed software
Collaborate with other cross-functional teams including but not limited to Product Management, Customer Support and Platform engineering
Maintain multiple product configurations as applicable to various projects
Provide guidance and mentoring to new hires joining the team

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Principal Data Engineer

We are on the lookout for a Principal Data Engineer to help define and lead the ...

Location

United Kingdom

Salary:

Not provided

Dotdigital

Expiration Date

Until further notice

Requirements

Extensive experience delivering python-based projects in the data engineering space
Extensive experience working with SQL and NoSQL database technologies (e.g. SQL Server, MongoDB & Cassandra)
Proven experience with modern data warehousing and large-scale data processing tools (e.g. Snowflake, DBT, BiqQuery, Clickhouse)
Hands on experience with data orchestration tools like Airflow, Dagster or Prefect
Experience using cloud environments (e.g. Azure, AWS, GCP) to process, store and surface large scale data
Experience using Kafka or similar event-based architectures e.g. (Pub/Sub via AWS SQS, Azure EventHubs, AWS Kinesis)
Strong grasp of data architecture and data modelling principles for both OLAP and OLTP workloads
Capable in the wider software development lifecycle in terms of agile ways of working and continuous integration/deployment of data solutions
Experience as a lead or Principal Engineer on large-scale data initiative or product builds
Demonstrated ability to architect data systems and data structures for high volume, high throughput systems

Job Responsibility

Lead the design and implementation of scalable, secure and resilient data systems across streaming, batch and real-time use cases
Architect data pipelines, model and storage solutions that power analytical and product use cases
using primarily Python and SQL via orchestration tooling that run workloads in the cloud
Leverage AI to automate both data processing and engineering processes
Assure and drive best practices relating to data infrastructure, governance, security and observability
Work with technologists across multiple teams to deliver coherent features and data outcomes
Support the data team to help adopt data engineering principles
Identify, validate and promote new tools and technologies that improve the performance and stability of data services

What we offer

Parental leave
Medical benefits
Paid sick leave
Dotdigital day
Share reward
Wellbeing reward
Wellbeing Days
Loyalty reward

Fulltime

Principal Engineer

The Principal AI/ML Operations Engineer leads the architecture, automation, and ...

Location

United States , Pleasanton, California

Salary:

251000.00 - 314500.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
10+ years in ML infrastructure, DevOps, and software system architecture
4+ years in leading MLOps or AI Ops platforms
Strong programming skills in languages such as Python, Java, or Scala
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads

Job Responsibility

Define enterprise-level standards and reference architectures for ML-Ops and AIOps systems
Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
Lead incident response and reliability strategies for ML/AI systems
Lead the deployment of AI models and systems in various environments
Collaborate with development teams to integrate AI solutions into existing workflows and applications
Ensure seamless integration with different platforms and technologies
Define and manage MCP Registry for agentic component onboarding, lifecycle versioning, and dependency governance
Build CI/CD pipelines automating LLM agent deployment, policy validation, and prompt evaluation of workflows
Develop and operationalize experimentation frameworks for agent evaluations, scenario regression, and performance analytics

What we offer

short-term and long-term incentive programs
robust offering of benefit and wellness plans

Fulltime

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