Senior Software Engineer (Data Platform) Job at Atlassian (Remote)

New

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

New

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

New

Senior Software Engineer - Data Team

We’re looking for Software Engineers to join our Data Department, developers wit...

Location

Spain , Barcelona; Madrid

Salary:

50000.00 - 70000.00 EUR / Year

Fever

Expiration Date

Until further notice

Requirements

Python Proficiency: confident working deeply in Python, understand topics like the GIL, concurrency (asyncio), generators, and decorators, care about maintainable typing and thoughtful performance optimization
Architecture Patterns: comfortable applying Hexagonal Architecture to keep domain logic clean and decoupled, can leverage patterns like CQRS and the Transactional Outbox to support consistency and reliability in an event-driven environment
Database Polyglot: strong SQL fundamentals, know how to design for performance (PostgreSQL internals, indexing strategies), understand when tools like Redis (caching) or Elasticsearch (search/aggregations) are the right fit
Communication: communicate clearly in English across audiences
Pragmatic mindset: balance quality with impact, able to make thoughtful trade-offs, deliver iteratively, and keep an eye on long-term sustainability while moving at a good pace

Job Responsibility

Architect and Build: Design, implement, and maintain scalable microservices using Python (FastAPI/Django), take ownership of breaking down complex monoliths or building new services from the ground up, applying DDD principles
Master the Event Stream: Build robust, event-driven flows with Kafka, ensure that our events are durable, ordered, and processed idempotently, managing eventual consistency with care
Integrate at Scale: Design fault-tolerant integrations with third-party ecosystems (Meta Ads, Google Marketing Platform, Salesforce), navigate rate limits, retries, and circuit breakers to maintain platform stability
Bridge OLTP and OLAP: Work at the intersection of transactional applications and analytical data, optimize PostgreSQL for operational efficiency while designing ingestion pipelines for Snowflake and Elasticsearch, using Airflow and dbt
Productionize Data Capabilities: Partner closely with Data Science, Machine Learning, and Data Engineering teams to ensure seamless integration of data sources and model infrastructure
Elevate the Bar: Lead thorough code reviews, write RFCs for key technical decisions, and mentor mid-level engineers, champion testing strategies (unit, integration, contract testing) and advocate for clean, sustainable code architecture

What we offer

Responsibility from day one and professional and personal growth
Opportunity to have a real impact in a high-growth global category leader
A compensation package consisting of base salary and the potential to earn a significant bonus for top performance
Stock options plan
40% discount on all Fever events and experiences
Home office friendly
Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English / Spanish Lessons
Wellhub Membership
Possibility to receive in advance part of your salary by Payflow

Fulltime

New

Senior Data Engineer

The mission of the business intelligence team is to create a data-driven culture...

Location

India , Hyderabad

Salary:

Not provided

Randstad

Expiration Date

February 28, 2026

Requirements

Master’s degree in Computer Science / Information Technology or related field, highly preferred
Extensive knowledge of BI concepts and related technologies that help drive sustainable technical solutions
Extensive Experience with data lakes, ETL and data warehouses
Advanced experience of building data pipelines
Passion for building quality BI software
Project Management and/or process improvement experience highly preferred
Polyglot coder and expert level in multiple languages including, Python, R, Java, SQL, relational databases, ERP, DOMO or other data visualization tools i.e. Tableau
Advanced and proven experience with Google cloud platform (GCP) is preferred. But experience with Microsoft Azure / Amazon will be considered
Any exposure to Kafka, Spark, and Scala will be an added advantage
Should demonstrate a strong understanding of OOPS concepts and methodologies

Job Responsibility

Architect and build complex data pipelines using advanced cloud data technologies
Lead efforts to optimize data pipelines for performance, scalability, and cost-efficiency
Define industry best practices for building data pipelines
Ensure data security, compliance, and governance standards are met
Partner with leadership team to define and implement agile and DevOps methodologies
Serve as subject matter expert and define data architecture and infrastructure requirements
Partner with business analysts to plan project execution including appropriate product and technical specifications, direction, resources, and establishing realistic completion times
Understand data technology trends and identify opportunities to implement new technologies and provide forward-thinking recommendations
Proactively partner with internal stakeholders to bridge gaps, provide historical references, and design the appropriate processes
Design and implement a robust data observability process

Fulltime

New

Senior Data Engineer

As a Senior Data Engineer on our Core Engineering Data Team, you will design and...

Location

United States , Boston

Salary:

111800.00 - 164000.00 USD / Year

SimpliSafe

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience
4+ years of experience in software engineering, data engineering, or a related field, with at least 2 years focused on data operations or data infrastructure
Strong knowledge of AWS or other public cloud platforms (e.g., Azure, GCP)
Strong SQL knowledge and experience optimizing for data warehousing technologies like AWS Athena
Strong knowledge of Python for use in data transformation
Hands-on experience with ETL/ELT, schema design, and datalake technologies
Hands-on experience with data orchestration tools like Dagster, Airflow, or Prefect
Experience with CI/CD pipelines, Docker, Kubernetes, and infrastructure-as-code tools (e.g., Terraform, CloudFormation)
Familiarity with various data and table formats (JSON, Avro, Parquet, Iceberg)
Love of data and a passion for building reliable data products

Job Responsibility

Collaborate with analysts, engineers, product managers, and stakeholders to design and implement solutions for Product and Engineering data workflows
Identify areas for improvement and contribute to centralized data platform
Manage data pipeline, orchestration, storage, and analytics infrastructure for Product and Engineering
Monitor performance and reliability of data pipelines, implementing solutions for scalability and efficiency
Optimize table structures to support query and usage patterns
Partner with producers of data across SimpliSafe to develop an understanding of data creation and meaning
Support data discovery, catalog, and analytics tooling
Implement and maintain data security measures and ensure compliance with data governance policies
Design and implement testing strategies and data quality validation to ensure the accuracy, reliability, and integrity of data pipelines
Contribute to the formation of our new team, assisting with the development of team norms, practices, and charter

What we offer

A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive
A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families
Free SimpliSafe system and professional monitoring for your home
Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change
Participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits

Fulltime

New

Senior Data Engineer

We are looking for a Data Engineer to join our team and support with designing, ...

Location

Salary:

Not provided

Foundever

Expiration Date

Until further notice

Requirements

Minimum of 7 years plus experience in data engineering
Track record of deploying and maintaining complex data systems at an enterprise level within regulated environments
Expertise in implementing robust data security measures, access controls, and monitoring systems
Proficiency in data modeling and database management
Strong programming skills in Python and SQL
Knowledge of big data technologies like Hadoop, Spark, and NoSQL databases
Deep experience with ETL processes and data pipeline development
Strong understanding of data warehousing concepts and best practices
Experience with cloud platforms such as AWS and Azure
Excellent problem-solving skills and attention to detail

Job Responsibility

Design and optimize complex data storage solutions, including data warehouses and data lakes
Develop, automate, and maintain data pipelines for efficient and scalable ETL processes
Ensure data quality and integrity through data validation, cleansing, and error handling
Collaborate with data analysts, machine learning engineers, and software engineers to deliver relevant datasets or data APIs for downstream applications
Implement data security measures and access controls to protect sensitive information
Monitor data infrastructure for performance and reliability, addressing issues promptly
Stay abreast of industry trends and emerging technologies in data engineering
Document data pipelines, processes, and best practices for knowledge sharing
Lead data governance and compliance efforts to meet regulatory requirements
Collaborate with cross-functional teams to drive data-driven decision-making within the organization

What we offer

Impactful work
Professional growth
Competitive compensation
Collaborative environment
Attractive salary and benefits package
Continuous learning and development opportunities
A supportive team culture with opportunities for occasional travel for training and industry events

New

Senior Data Platform Engineer

We are looking for an experienced data engineer to join our platform engineering...

Location

United States

Salary:

141000.00 - 225600.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering, software engineering with a data focus, data science, or a related role
Knowledge of designing data pipelines from a variety of source (e.g. streaming, flat files, APIs)
Proficiency in SQL and experience with relational databases (e.g., PostgreSQL)
Experience with real-time data processing frameworks (e.g., Apache Kafka, Spark Streaming, Flink, Pulsar, Redpanda)
Strong programming skills in common data-focused languages (e.g., Python, Scala)
Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Prefect, Temporal)
Familiarity with AWS-based data solutions
Strong understanding of data warehousing concepts and technologies (Snowflake)
Experience documenting data dependency maps and data lineage
Strong communication and collaboration skills

Job Responsibility

Design, implement, and maintain scalable data pipelines and infrastructure
Collaborate with software engineers, product managers, customer success managers, and others across the business to understand data requirements
Optimize and manage our data storage solutions
Ensure data quality, reliability, and security across the data lifecycle
Develop and maintain ETL processes and frameworks
Work with stakeholders to define data availability SLAs
Create and manage data models to support business intelligence and analytics

What we offer

Competitive salary and 401k with employer match
Discretionary time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Development Programs
Snacks in our offices

Senior Manager, Software Engineering (Orchestration Services)

The Data and Storage Services team is responsible for handling all of Affirm’s D...

Location

United States

Salary:

232000.00 - 310000.00 USD / Year

Affirm

Expiration Date

Until further notice

Requirements

Solid leadership and interpersonal skills
10+ years of experience in managing multiple diverse and inclusive teams and delivering large cross-functional technical programs
Proven track record in stakeholder management, ownership, and successful delivery
Expertise in managing large-scale, geographically distributed compute and data processing systems, including data lake solutions and Workflow Orchestration frameworks
Expertise in scaling frameworks like Spark, Flink and, Kafka on Kubernetes and cloud providers like AWS, leveraging storage systems such as AWS S3 and Apache Iceberg
Capable of mentorship, cross-functional project execution, and individual contribution
Strong interpersonal, written, and verbal communication skills with a growth mindset
Experience in the data infrastructure domain and a passion for leading technical teams and contributing to Open Source solutions
Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience

Job Responsibility

Lead a team of engineers and managers with empathy while fostering a high-performance, ownership-driven & inclusive culture to develop frameworks, systems, and tools for new Affirm products
Oversee teams managing storage services including relational, key-value, and analytics storage infrastructure and tools at scale
Understand and drive business and engineering metrics, promoting a culture of reliability, security, and productivity
Collaborate with tech leads, program managers, and other engineering managers on security, tools, architecture, planning, and delivery of multiple concurrent projects
Work across the engineering organization and with internal and external partners
Provide leadership and growth opportunities to team members, mentor engineers, recruit, and represent Affirm hiring brands
Lead technical decisions, projects, and roadmaps within the Batch and Streaming teams, shaping Affirm’s strategy for managing and serving orchestration workloads
Collaborate with peers, leadership, and stakeholders across platform engineering and product engineering organizations
In collaboration with tech leads, develop a multi year roadmap to design and implement frameworks, services, and tools for new Affirm products and business needs
Guide, tutor, and aid in the professional growth of junior and senior engineers within the team

What we offer

Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

Fulltime

Senior Software Engineer (Data Platform)

Atlassian

Location:
India , Remote

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Additional Information:

Job Posted:
April 23, 2025

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