Software engineer 2 / Senior Software engineer

We are looking for an experienced Software Engineers for our Bangalore location ...

Location

India , Bengaluru

Salary:

Not provided

Komprise, Inc.

Expiration Date

Until further notice

Requirements

Solid grasp of computer science fundamentals and especially data structures, algorithms, multi-threading
Ability to solve difficult problems with a simple elegant solution
Should have solid object-oriented programming background with impeccable design skills
Experience in developing management applications and performance management applications is ideal
Experience with object-based file systems and REST interfaces is a plus (e.g. Amazon S3, Azure, Google Cloud Service)
Should have a BE or higher in CS, EE, Math or related engineering or science field
At least 5+ years of experience in software deployment
Tech Stack: Java, Maven Virtualisation, SaaS, Github, Jira, Slack, Cloud Solutions and Hypervisors

Job Responsibility

Responsible for designing and developing features that powers Komprise data management platform to manage billions of files and petabytes of data
Responsible for designing of major components and systems of our product architecture, ensuring that Komprise data management platform is highly available and scalable
Responsible for writing performance code, evaluate feasibility, develop for quality and optimize for maintainability
Work in agile, customer focused and fast paced team with direct interaction with the customers
Responsible for analysing customer escalated issues and provide resolutions in a timely manner
Should be able to design and implement highly performant, scalable distributed systems

Senior Data Engineer

Adtalem is a data driven organization. The Data Engineering team builds data sol...

Location

United States , Lisle

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows, BQML, Vertex AI.
Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics.
Hands-on experience working with real-time, unstructured, and synthetic data.
Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar.
Expert knowledge on Python programming and SQL.
Experience with cloud platforms (AWS, GCP, Azure) and their data services
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
Familiarity with synthetic data generation and unstructured data processing

Job Responsibility

Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets
Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth.
Design, develop, deploy and support high performance data pipelines both inbound and outbound.
Model data platform by applying the business logic and building objects in the semantic layer of the data platform.
Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics
Optimize data pipelines for performance, scalability, and reliability.
Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products.
Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.
Document the design and support strategy of the data pipelines
Capture, store and socialize data lineage and operational metadata

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

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

Data Engineer II

As a Data Engineer II on our Core Engineering Data Team, you will focus on build...

Location

United States , Boston

Salary:

93200.00 - 136600.00 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
2+ years of experience in software engineering, data engineering, or a related field
Foundational 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
Experience with ETL/ELT, schema design, and datalake technologies
Familiarity with various data and table formats (JSON, Avro, Parquet, Iceberg)
Love of data and a passion for building reliable data products

Job Responsibility

Develop and maintain efficient and reliable ETL/ELT data pipelines from product and service data sources to our centralized analytical platforms
Implement and monitor data pipeline orchestration using tools like Airflow or Dagster to ensure timely and accurate data delivery
Collaborate with senior engineers and analysts to understand requirements and implement technical solutions for data workflows
Perform routine monitoring of pipeline performance and reliability, assisting with troubleshooting and optimizing for efficiency
Contribute to the optimization of table structures and data storage to support various query and usage patterns
Support and maintain data discovery, catalog, and analytics tooling for internal teams
Assist in implementing data security measures and ensuring compliance with data governance policies
Write and maintain data quality validation checks and unit tests to ensure the integrity and reliability of data pipelines
Participate in team-wide discussions to help develop and refine team norms and engineering best practices

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

If you love the pursuit of excellence and are inspired by the challenges that co...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience
2+ years experience with data governance, data compliance and/or data security
4+ years of hands-on software development experience in one or more general purpose programming languages (e.g., C#, Java, C++, Python, JavaScript/TypeScript)
Hands-on experience designing and operating production data pipelines and platforms at scale
Working understanding of how GenAI systems consume data — training datasets, features and labels, embeddings, retrieval and grounding data, evaluation harnesses, and the data-side failure modes that drive model and agent regressions
Hands-on experience using AI-assisted development tools (e.g., GitHub Copilot, agentic coding workflows, GenAI-based code review and test generation) in a disciplined, production-grade way
Experience integrating AI capabilities (LLMs, agents, model-backed features) into production systems, including familiarity with Responsible AI principles and applying AI safety controls in production
Experience owning a feature area end-to-end, from design through deployment, monitoring, and on-call ownership
Experience designing and operating large-scale distributed data systems in a cloud environment (e.g., Azure), including data model and pipeline design, performance tuning, and cost optimization

Job Responsibility

Own the end-to-end engineering lifecycle for key components and services—designing, coding, testing, deploying, and operating solutions that are secure, reliable, and maintainable
Use AI tools across the full SDLC in a disciplined way. Own the quality of AI-generated requirements, designs, and code — yours and your teammates' — and apply Responsible AI practices
Build the training, feature, retrieval, grounding, and evaluation datasets that LLMs, and agents depend on. Partner with PM and engineering to make data contracts, freshness, drift signals, and offline/online consistency first-class concerns
Lead design discussions for your project area, evaluate tradeoffs across batch vs. streaming, warehouse vs. lakehouse, ELT vs. ETL, and storage choices for analytical, feature, and vector workloads. Own architectural decisions with minimal oversight
Partner with PM and engineering to define data requirements
ensure feedback loops on data quality, usage, model performance, and downstream product impact are in place
Write extensible, secure, performant code for pipelines, transformations, and supporting services. Apply modern patterns including GenAI-assisted development. Drive code reviews and best practices at the product level
Own the test strategy for your area, including data contract tests, schema validation, freshness checks, distribution and drift monitoring, and offline/online parity. Improve the test suite and use AI tools for test automation
Identify cross-team data dependencies, manage upstream producer and downstream consumer impact, and resolve conflicts when semantics or schemas change in ways that affect models or downstream products
Drive your workgroup's project and release plans. Break work into a roadmap including backfills, migrations, and model-impacting changes, and coach others on estimation

Fulltime

Senior Cloud Engineer

The Senior Cloud Engineer is responsible for the development, delivery and perfo...

Location

United States , Wilton

Salary:

Not provided

ASML

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Information Technology, Computer Science or Engineer. Master’s degree a plus
8 years related and proven experience in large technical software development environments
Linux (RHEL, Centos)
Networking – Architecture (TCP/IP UDP)
Ticketing system – (Service now)
Monitoring systems - (Splunk)
Application management experience (Atlassian Stack - JIRA, Confluence, Wiki, Bitbucket)
Storage knowledge (NFS, SMB, CIFS, ZFS, NAS)
Scripting language (Python, Bash, Perl)
SW Developer tools (IDE, code quality checkers, review tool, etc.)

Job Responsibility

Collaborates with teams across various projects and customers on feasibilities and applications' customizations
Responsible for SW build and development support activities for systems local or remote, which includes installation, software patch, system security, data backup, storage management, VM, and problem analysis activities
Performs remote troubleshooting through diagnostic techniques and pertinent questions
Provides Support process by serving as Tier 1 / Tier 2 point of contact and owner of problem/incident
Logs all customer requests and updates calls utilizing the designated call handling and tracking system
Define improvement proposals that focus on system performance and process efficiency for end-users
Investigate and implement non-standard changes with a limited scope
Support / take ownership of requests from engineering and help to solve these requests
Ensures all IT standard processes and procedures and Service Level Agreements are met
Other duties as assigned

Fulltime

Senior Cloud Engineer - Product Metrics

The Product Metrics team owns the collection, storage, and serving of metrics co...

Location

United States

Salary:

141000.00 - 208000.00 USD / Year

ClickHouse

Expiration Date

Until further notice

Requirements

5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems
2+ years of software application development experience using Golang
Experience with at least one of the major Cloud Service Providers such as AWS, GCP or Azure
Experience with storing, shipping, and retrieving large volumes of data efficiently using technologies such as ClickHouse
Experience with technologies such as Kubernetes, Helm, ArgoCD, Temporal as well as infrastructure-as-code tools such as Terraform

Job Responsibility

Take an active part in determining the roadmap for the Product Metrics team
Work closely within the team to deliver new features, iterate and improve them
Design, build, operate, and maintain business-critical petabyte-scale systems
Be responsible for the performance, reliability, availability and cost-efficiency of the Product Metrics systems
Mentor and support other team members, participate in design discussions and collaborate with the team
Be a part of on-call rotation and take ownership of the services you're running

What we offer

Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries
Healthcare - Employer contributions towards your healthcare
Equity in the company - Every new team member who joins our company receives stock options
Time off - Flexible time off in the US, generous entitlement in other countries
A $500 Home office setup if you’re a remote employee
Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites

Fulltime

Senior Cloud Engineer - Product Metrics

The Product Metrics team owns the collection, storage, and serving of metrics co...

Location

Canada

Salary:

Not provided

ClickHouse

Expiration Date

Until further notice

Requirements

5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems
2+ years of software application development experience using Golang
Experience with at least one of the major Cloud Service Providers such as AWS, GCP or Azure
Experience with storing, shipping, and retrieving large volumes of data efficiently using technologies such as ClickHouse
Experience with technologies such as Kubernetes, Helm, ArgoCD, Temporal as well as infrastructure-as-code tools such as Terraform

Job Responsibility

Take an active part in determining the roadmap for the Product Metrics team
Work closely within the team to deliver new features, iterate and improve them
Design, build, operate, and maintain business-critical petabyte-scale systems
Be responsible for the performance, reliability, availability and cost-efficiency of the Product Metrics systems
Mentor and support other team members, participate in design discussions and collaborate with the team
Be a part of on-call rotation and take ownership of the services you're running

What we offer

Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries
Healthcare - Employer contributions towards your healthcare
Equity in the company - Every new team member who joins our company receives stock options
Time off - Flexible time off in the US, generous entitlement in other countries
A $500 Home office setup if you’re a remote employee
Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites

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Software engineer 2 / Senior Software engineer - Azure Data

Job Description

Job Responsibility

Requirements

Nice to have

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