Principal Java Data Engineer Job at PointClickCare

Principal Data Platform Engineer

Are you passionate about data platforms and tools? Are you an open-minded, struc...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Deep understanding of big data challenges
Built solutions using public cloud offerings such as Amazon Web Services
Experience with Big Data processing and storage technologies such as Spark, S3, DBT
SQL knowledge
Solid understanding and experience in building RESTful APIs and micro services, e.g. with Flask
Experience with test automation and ensuring data quality across multiple datasets used for analytical purposes
Experience with continuous delivery, continuous integration, and source control system such as Git
Expert level programming skills in OO Programming language like Java, Kotlin or Python
Degree in Computer Science, EE, or related STEM discipline

Job Responsibility

You will partner with analytical teams, data engineers and data scientists across various initiatives working with them to understand the gaps, and bring your findings back to the team to work on building these capabilities
In this role, you will be part of the Analytics Management Platform team under the Data Platform
The team focuses on building the foundation for Atlassian analytical platforms
We are creating frictionless data experiences for data products builders by offering different services and frameworks that help engineers to move fast and enable their users to generate valuable insights from data

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior Principal Data Platform Software Engineer

We’re looking for a Sr Principal Data Platform Software Engineer (P70) to be a k...

Location

Salary:

239400.00 - 312550.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

15+ years in Data Engineering, Software Engineering, or related roles, with substantial exposure to big data ecosystems
Demonstrated experience building and operating data platforms or large‑scale data services in production
Proven track record of building services from the ground up (requirements → design → implementation → deployment → ongoing ownership)
Hands‑on experience with AWS, GCP (e.g., compute, storage, data, and streaming services) and cloud‑native architectures
Practical experience with big data technologies, such as Databricks, Apache Spark, AWS EMR, Apache Flink, or StarRocks
Strong programming skills in one or more of: Kotlin, Scala, Java, Python
Experience leading cross‑team technical initiatives and influencing senior stakeholders
Experience mentoring Staff/Principal engineers and lifting the technical bar for a team or org
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

Job Responsibility

Design, develop and own delivery of high quality big data and analytical platform solutions aiming to solve Atlassian’s needs to support millions of users with optimal cost, minimal latency and maximum reliability
Improve and operate large‑scale distributed data systems in the cloud (primarily AWS, with increasing integration with GCP and Kubernetes‑based microservices)
Drive the evolution of our high-performance analytical databases and its integrations with products, cloud infrastructures (AWS and GCP) and isolated cloud environments
Help define and uplift engineering and operational standards for petabyte scale data platforms, with sub‑second analytic queries and multi‑region availability (coding guidelines, code review practices, observability, incident response, SLIs/SLOs)
Partner across multiple product and platform teams (including Analytics, Marketplace/Ecosystem, Core Data Platform, ML Platform, Search, and Oasis/FedRAMP) to deliver company‑wide initiatives that depend on reliable, high‑quality data
Act as a technical mentor and multiplier, raising the bar on design quality, code quality, and operational excellence across the broader team
Design and implement self‑healing, resilient data platforms with strong observability, fault tolerance, and recovery characteristics
Own the long‑term architecture and technical direction of Atlassian’s product data platform with projects that are directly tied to Atlassian’s company-level OKRs
Be accountable for the reliability, cost efficiency, and strategic direction of Atlassian’s product analytical data platform
Partner with executives and influence senior leaders to align engineering efforts with Atlassian’s long-term business objectives

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

Principal Software Engineer, Trusted Data Platform

As a Principal Software Engineer, you will be a technical leader and hands-on co...

Location

India , Bangalore

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field
10+ years of experience in backend software development, focusing on distributed systems and storage solutions
5+ years of experience working with AWS storage services (S3, DynamoDB, EBS, EFS, FSx, Glacier)
Strong expertise in system design, architecture, and scalability for large-scale storage solutions
Proficiency in at least one major backend programming language (Kotlin, Java, Go, Rust, or Python)
Experience designing and implementing highly available, fault-tolerant, and cost-efficient storage architectures
Deep understanding of distributed systems, replication strategies, sharding, and caching
Knowledge of data security, encryption best practices, and compliance requirements (SOC2, GDPR, HIPAA)
Experience leading engineering teams, mentoring senior engineers, and driving technical roadmaps
Proficiency with observability tools, performance monitoring, and troubleshooting at scale

Job Responsibility

Designing and optimizing high-scale, distributed storage systems built on AWS storage technologies
Shaping the architecture, performance, and reliability of backend storage solutions that power critical applications at scale
Designing, implementing, and optimizing backend storage services that support high throughput, low latency, and fault tolerance
Working closely with senior engineers, architects, and cross-functional teams to drive scalability, availability, and efficiency improvements in large-scale storage solutions
Leading technical deep dives, architecture reviews, and root cause analyses to resolve complex production issues related to storage performance, consistency, and durability
Driving best practices in distributed system design, security, and cloud cost optimization
Mentoring senior engineers, contributing to technical roadmaps, and helping shape the long-term storage strategy
Collaborating with Site Reliability Engineers (SREs) to implement observability, monitoring, and disaster recovery strategies, ensuring high availability and compliance with industry standards
Advocating for automation, Infrastructure-as-Code (IaC), and DevOps best practices, leveraging tools like Terraform, AWS CloudFormation, Kubernetes (EKS), and CI/CD pipelines to enable scalable deployments and operational excellence

What we offer

Atlassians can choose where they work – whether in an office, from home, or a combination of the two
Atlassians have more control over supporting their family, personal goals, and other priorities
We can hire people in any country where we have a legal entity
Interviews and onboarding are conducted virtually
Whatever your preference - working from home, an office, or in between - you can choose the place that's best for your work and your lifestyle

Senior Principal Engineer Core Data Platform

As an engineer well into your career, we know you're an expert at what you do an...

Location

United States , Seattle; San Francisco; Mountain View

Salary:

198300.00 - 318600.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field
12+ years of experience in backend software development, with a focus on distributed systems and large-scale storage solutions
8+ years of experience designing and managing highly available, large-scale storage architectures in cloud environments
5+ years of hands-on experience working with AWS storage services (S3, EBS, EFS, FSx, Glacier, DynamoDB)
Proficiency in system design, performance optimization, and cost-efficient architecture for exabyte-scale storage
Expertise in at least one major backend programming language (Kotlin, Java, Go, Rust, or Python)
Experience leading technical strategy and architectural decisions in large, multi-team engineering organizations
Strong understanding of distributed systems principles, including consistency models, replication, sharding, and consensus algorithms (Raft, Paxos)
Deep knowledge of security best practices, including encryption, access control (IAM), and compliance standards (SOC2, GDPR, HIPAA)
Experience mentoring senior engineers and driving high-impact engineering initiatives

Job Responsibility

Collaborate with partner teams and internal customers to help define technical direction and OKRs for the Core Data platform organization
Regularly tackle the largest and most complex problems on the team, from technical design to implementation and launch
Partner across engineering teams to take on company-wide initiatives spanning multiple projects
Routinely tackle complex architecture challenges and apply architectural standards and start using them on new projects
Work across senior engineering and product leaders to build strategy and design solutions to earn customers trust and business
Own key OKRs and end-to-end outcomes of critical projects in a microservices environment
Champion best practices and innovative techniques for scalability, reliability, and performance optimizations
Own engineering and operational excellence for the health of our systems and processes
Proactively drive opportunities for continuous improvements and own key operational metrics
Continually drive developer productivity initiatives to ensure that we unleash the potential of our own teams

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Principal Data Scientist - Machine Learning Engineering

We are looking for a Principal Machine Learning Data Scientist to develop and im...

Location

United States , Remote

Salary:

145300.00 - 233400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years of experience in Data Science or related fields
Expertise in applying a broad variety of ML methods including NLP and LLM to solve business problems using large amounts of data
Proven track record of delivering ML projects end-to-end, including designing, development, deployment and monitoring
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Expertise in programming languages such as Python or Java with and the ability to write performant code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
Agile development mindset, appreciating the benefit of constant iteration and improvement

Job Responsibility

Develop and implement our machine learning algorithms
Train sophisticated models
Collaborate with our technical and non-technical partner teams
Expand our AI/ML functionality in partnership with our CSS and/or Sales organization

What we offer

health coverage
paid volunteer days
wellness resources
bonuses
commissions
equity

Fulltime

Principal Software Engineer

As a Principal Software engineer you will work on complex data pipelines dealing...

Location

Salary:

Not provided

Balbix

Expiration Date

Until further notice

Requirements

MS/BS 7+ years in Computer Science or a related field
Expert programming experience with Python, Java, or Scala
Good working knowledge of SQL databases such as Postgres and NoSQL databases such as MongoDB, Cassandra, Redis
Experience with search engine database such as ElasticSearch is preferred
Time-series databases such as InfluxDB, Druid, Prometheus
Strong computer science fundamentals: data structures, algorithms, and distributed systems

Job Responsibility

Design and implement the features and own the modules for ingesting, storing and manipulating large data sets for a variety of cybersecurity use-cases
Write code to provide backend support for data-driven UI widgets, web dashboards, workflows, search and API connectors
Design and implement web services, rest APIs, and microservices
Build production quality solutions that balance complexity and meet acceptance criteria of functional requirements
Work with multiple-interfacing teams, including ML, UI, backend and data engineering

Fulltime

Principal Performance Engineer

This is the definitive performance ownership role for the Matillion Data Product...

Location

India , Hyderabad

Salary:

Not provided

Matillion

Expiration Date

Until further notice

Requirements

Proven experience as a Principal Engineer specializing in performance for large distributed systems, ideally within a high-growth SaaS or data platform environment
Deep expertise in Java and Spring Boot, with strong JVM performance engineering skills, including GC tuning, heap/thread optimization, and low-latency design
Strong systems-level understanding of technologies like Kubernetes, container runtimes, Python performance, network behavior, and cloud architecture (AWS)
The ability to influence engineers across teams without direct authority, shaping architecture, patterns, threading models, and concurrency to eliminate bottlenecks
Expertise with modern observability stacks (e.g., OTel, Prometheus, Grafana, Datadog) and hands-on experience designing and running meaningful load, chaos, and stress scenarios

Job Responsibility

Define and drive the Performance Vision and Strategy, establishing clear, measurable targets for latency, throughput, cost efficiency, and workload scalability across the Data Productivity Cloud
Conduct deep-dive profiling and complex root cause analysis across distributed systems, investigating API latency, memory/CPU pressure, queue back-pressure, and network bottlenecks
Build, maintain, and own repeatable, scalable benchmarking frameworks covering agent performance, concurrency, workflow orchestration throughput, and end-to-end user journeys
Drive significant Cost Performance and Efficiency improvements by utilizing telemetry and empirical data to reduce runtime operational costs (compute, memory, storage, network)
Act as the technical performance expert to influence feature design, technical architecture, and implementation patterns across engineering teams to prevent regressions and embed performance guardrails

What we offer

Company Equity
27 days paid time off
12 days of Company Holiday
5 days paid volunteering leave
Group Mediclaim (GMC)
Enhanced parental leave policies
MacBook Pro
Access to various tools to aid your career development

Fulltime

Lead Principal Engineer

We are seeking a highly skilled and experienced Lead Principal Engineer to join ...

Location

United States , San Francisco

Salary:

194300.00 - 312100.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Extensive experience (10+ years) in engineering roles with a focus on search infrastructure and technology
Proven expertise in OpenSearch or similar search technologies, with a strong understanding of search paradigms and information retrieval
Deep knowledge in storage systems, relevance tuning, ranking mechanisms, and compute storage
Demonstrated experience in designing and managing large-scale, high-performance search infrastructures
Strong programming skills in languages such as Java, Python, or similar
Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, dynamic environment
Exceptional communication skills, with the ability to convey complex technical concepts to diverse audiences

Job Responsibility

Lead the design, development, and implementation of advanced search infrastructure solutions for the Rovo product, leveraging OpenSearch technologies
Architect and optimize storage solutions to support search capabilities at scale, ensuring high performance and cost-efficiency
Drive initiatives to enhance search relevance and ranking algorithms, improving the overall user experience
Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to align technical solutions with business needs
Provide expert guidance and mentorship to engineering teams, fostering a culture of innovation and technical excellence
Ensure the reliability, scalability, and security of our search infrastructure, implementing best practices in system design and operations
Stay abreast of industry trends and emerging technologies related to search and data infrastructure, integrating relevant advancements into our systems
Develop and maintain comprehensive documentation for all architectural designs, processes, and systems

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Principal Java Data Engineer

PointClickCare

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Requirements:

Additional Information:

Job Posted:
February 18, 2026

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Principal Java Data Engineer

PointClickCare

Location:United States

Category:IT - Software Development

Contract Type:Not provided

Salary:

Requirements:

Additional Information:

Job Posted:February 18, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

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Location:
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Contract Type:
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Job Posted:
February 18, 2026