Scala Jobs in Hyderabad.
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CDP ETL & Database Engineer
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CDP ETL & Database Engineer
The CDP ETL & Database Engineer will specialize in architecting, designing, and implementing solutions that are sustainable and scalable. The ideal candidate will understand CRM methodologies, with an analytical mindset, and a background in relational modeling in a Hybrid architecture.The candidate will help drive the business towards specific technical initiatives and will work closely with the Solutions Management, Delivery, and Product Engineering teams. The candidate will join a team of developers across the US, India & Costa Rica.
Responsibilities:
- ETL Development – The CDP ETL C Database Engineer will be responsible for building pipelines to feed downstream data They will be able to analyze data, interpret business requirements, and establish relationships between data sets. The ideal candidate will be familiar with different encoding formats and file layouts such as JSON and XML.
- Implementations s Onboarding – Will work with the team to onboard new clients onto the ZMP/CDP+ The candidate will solidify business requirements, perform ETL file validation, establish users, perform complex aggregations, and syndicate data across platforms. The hands-on engineer will take a test-driven approach towards development and will be able to document processes and workflows.
- Incremental Change Requests– The CDP ETL C Database Engineer will be responsible for analyzing change requests and determining the best approach towards implementation and execution of the This requires the engineer to have a deep understanding of the platform's overall architecture. Change requests will be implemented and tested in a development environment to ensure their introduction will not negatively impact downstream processes.
- Change Data Management – The candidate will adhere to change data management procedures and actively participate in CAB meetings where change requests will be presented and Prior to introducing change, the engineer will ensure that processes are running in a development environment. The engineer will be asked to do peer-to-peer code reviews and solution reviews before production code deployment.
- Collaboration s Process Improvement – The engineer will be asked to participate in knowledge share sessions where they will engage with peers, discuss solutions, best practices, overall approach, and The candidate will be able to look for opportunities to streamline processes with an eye towards building a repeatable model to reduce implementation duration.
Job Requirements:
- The CDP ETL & Database Engineer will be well versed in the following areas:
- Relational data modeling.
- ETL and FTP concepts.
- Advanced Analytics using SQL Functions.
- Cloud technologies - AWS, Snowflake.
- Able to decipher requirements, provide recommendations, and implement solutions within predefined.
- The ability to work independently, but at the same time, the individual will be called upon to contribute in a team setting.
- The engineer will be able to confidently communicate status, raise exceptions, and voice concerns to their direct manager.
- Participate in internal client project status meetings with the Solution/Delivery management.
- When required, collaborate with the Business Solutions Analyst (BSA) to solidify.
- Ability to work in a fast paced, agile environment; the individual will be able to work with a sense of urgency when escalated issues arise.
- Strong communication and interpersonal skills, ability to multitask and prioritize workload based on client demand.
- Familiarity with Jira for workflow , and time allocation.
- Familiarity with Scrum framework, backlog, planning, sprints, story points, retrospectives.
Required Skills:
- ETL – ETL tools such as
- Talend (Preferred, not required)
- DMExpress – Nice to have
- Informatica – Nice to have
- Database - Hands on experience with the following database Technologies
- Snowflake (Required)
- MYSQL/PostgreSQL – Nice to have
- Familiar with NOSQL DB methodologies (Nice to have)
- Programming Languages – Can demonstrate knowledge of any of the
- PLSQL
- JavaScript Strong Plus
- Python - Strong Plus
- Scala - Nice to have
- AWS – Knowledge of the following AWS services:
- S3
- EMR (Concepts)
- EC2 (Concepts)
- Systems Manager / Parameter Store
- Understands JSON Data structures, key value
- Working knowledge of Code Repositories such as GIT, Win CVS,
- Workflow management tools such as Apache Airflow, Kafka, Automic/Appworx
- Jira
Minimum Qualifications:
- Bachelor's degree or equivalent.
- 4+ Years' experience.
- Excellent verbal C written communications skills.
- Self-Starter, highly motivated.
- Analytical mindset.
Company Summary:
Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+
identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.
Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.
Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm
https://www.forbes.com/sites/shelleykohan/2024/06/1G/amazon-partners-with-zeta-global-to-deliver- gen-ai-marketing-automation/
https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken- conference.html
https://www.businesswire.com/news/home/20240G04622808/en/Zeta-Increases-3Q%E2%80%GG24-
Guidance
https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc- 300S45353.html
https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and- cross-channel-campaign-management-reports-by-independent-research-firm-300S38241.html
Ready to apply?
Apply to Zeta Global
Staff Software Engineer, Data Engineering
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About the Team
Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. Team serves as the foundation for decision-making at DoorDash.
About the Role
DoorDash is looking for a Staff Software Engineer, Data to be a technical lead and help architect and scale our data reliability, data infrastructure, automation and tools to meet growing business needs.
You’re excited about this opportunity because you will…
- Own critical data systems that support multiple products/teams
- Develop, implement and enforce best practices for data infrastructure and automation
- Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
- Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services
- Manage a portfolio of data products that deliver high-quality, trustworthy data
- Help onboard and support other engineers as they join the team
We’re excited about you because…
- 8+ years of professional experience as a hands-on engineer and technical leader leading multiple projects
- 6+ years experience working in data platform and data engineering or a similar role
- Proficiency in programming languages such as Python/Kotlin/Scala
- 4+ years of experience in ETL orchestration and workflow management tools like Airflow
- Expert in database fundamentals, SQL, data reliability practices and distributed computing
- 4+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming
- Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools
- Comfortable working in fast paced environment, self starter and self organizing
- Ability to think strategically, analyze and interpret market and consumer information
- You must be located near one of our engineering hubs indicated above
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on June 20, 2024.
Please see the independent bias audit report covering our use of Covey here.
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash India
Analytics Engineer, India
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About the Team
The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.
About the Role
As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives; working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.
This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you!
You’re excited about this opportunity because you will…
- Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
- Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
- Lead the development of data products and self-serve tools that enable analytics to scale across the company
- Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
- Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
- Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization
We’re excited about you because…
- 5+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role
- Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
- Expertise in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
- Familiarity with database fundamentals (e.g., S3, Trino, Hive, Spark), and experience with SQL performance tuning
- Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
- Excellent communication skills and experience working with technical and non-technical teams
- Comfortable working in fast fast-paced environment, self-starter, and self-organizer
- Ability to think strategically, analyze, and interpret market and consumer information
Nice to Have
- Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance
- Experience building multi-step ETL jobs coupled with orchestrating workflows (e.g. Airflow, Dagster, DBT)
- Familiarity with experimentation concepts like A/B testing and their data requirements
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash India
Software Engineer, Data Engineer II
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About the Team
Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. Team serves as the foundation for decision-making at DoorDash.
About the Role
DoorDash is looking for a Software Engineer, Data to be a technical powerhouse to help us scale our data reliability, data infrastructure, automation and tools to meet growing business needs.
You’re excited about this opportunity because you will…
- Own critical data systems that support multiple products/teams
- Develop, implement and enforce best practices for data infrastructure and automation
- Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
- Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services
- Manage a portfolio of data products that deliver high-quality, trustworthy data
- Help onboard and support other engineers as they join the team
We’re excited about you because…
- 3+ years of professional experience
- 3+ years experience working in data platform and data engineering or a similar role
- Proficiency in programming languages such as Python/Kotlin/Scala
- 3+ years of experience in ETL orchestration and workflow management tools like Airflow
- Expert in database fundamentals, SQL, data reliability practices and distributed computing
- 3+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming
- Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools
- Comfortable working in fast paced environment, self starter and self organizing
- Ability to think strategically, analyze and interpret market and consumer information
- You must be located near one of our engineering hubs indicated above
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash India
Life at Plume
At Plume, we believe that technology isn't about moving faster, it's about making life’s moments better. Which is why we’ve built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale.
We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We’re expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data.
With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can’t do it exceptionally well, we don’t do it. It’s how we've assembled a team of world-class builders, thinkers, and doers. And it’s how we’re reinventing what’s possible every day.
This is a work-from-office / In-Office role based in our Hyderabad, India location.
We are looking for a Senior Software Engineer to join our team and work on the development of our SaaS product. In this role, you will lead the development of new features, improve system architecture, and ensure the scalability and reliability of our cloud-based software. You will collaborate with cross-functional teams to deliver high-quality software and contribute to the continuous improvement of the product.
Key Responsibilities:
- Architect and Design Software Solutions: Contribute towards design and architecture of new features for our SaaS product. Ensure that solutions are scalable, maintainable, and meet customer needs.
- Develop & Implement Features: Build and maintain robust and high-performing software solutions for our SaaS platform, writing clean, efficient, and testable code.
- Collaborate with Cross-Functional Teams: Work closely with product managers, designers, and other engineers to define and implement product features, ensuring that business requirements and customer needs are met.
- Optimize and Scale: Continuously improve application performance and scalability, focusing on optimizing cloud-based resources and database performance.
- Maintain Code Quality: Write unit and integration tests, conduct code reviews, and ensure adherence to coding standards. Participate in code reviews and provide feedback on engineering best practices.
- Mentorship: Provide technical leadership and mentorship to junior engineers, helping them grow their skills and achieve their career goals.
- Troubleshoot and Debug: Investigate and resolve software issues, working with the support team to fix bugs and improve the overall user experience.
- Security & Compliance: Ensure the SaaS product complies with security best practices and regulatory standards. Implement security features to protect user data and sensitive information.
- Continuous Improvement: Stay up to date with the latest technologies and industry trends, and incorporate modern practices into the development process. Participate in the iterative process of refining and evolving the product.
- Documentation: Produce clear technical documentation to support the development, deployment, and maintenance of software systems.
Required Skills and Qualifications:
- Bachelor's Degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
- Proven Experience: At least 8+ years of professional experience in software development, with significant experience working on SaaS products or cloud-based platforms.
- Programming Languages: Strong proficiency in languages commonly used for SaaS development (e.g., Golang, JavaScript, TypeScript, Python, Scala, Java).
- Cloud Platforms: Experience working with cloud platforms such as AWS, or Google Cloud, and an understanding of cloud architecture, microservices, and containerization..
- Database Management: Strong knowledge of relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB) and experience with database optimization.
- DevOps and CI/CD: Hands-on experience with CI/CD pipelines, containerization (Docker), and orchestration tools (e.g., Kubernetes).
- Agile Methodologies: Familiarity with Agile development processes and tools (e.g., Jira, GitHub).
- Version Control: Proficiency with version control tools like Git.
- Problem Solving: Excellent analytical and problem-solving skills, with a focus on delivering high-quality solutions.
- Communication: Strong written and verbal communication skills. Ability to communicate complex technical concepts to non-technical stakeholders.
Preferred Skills:
- SaaS Experience: Experience building, maintaining, and scaling SaaS applications, particularly in high-availability and high-traffic environments.
- Microservices Architecture: Familiarity with microservices architecture and cloud-native application patterns.
- Test Automation: Experience with test automation frameworks and practices.
- Security: Understanding of web application security, data encryption, and secure coding practices.
- Leadership: Previous experience mentoring or leading engineering teams.
About Plume
As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world’s largest such as Comcast, Charter, Liberty Global, and J:COM.
Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume’s software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture.
Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.
Ready to apply?
Apply to Plume
Life at Plume
At Plume, we believe that technology isn't about moving faster, it's about making life’s moments better. Which is why we’ve built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale.
We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We’re expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data.
With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can’t do it exceptionally well, we don’t do it. It’s how we've assembled a team of world-class builders, thinkers, and doers. And it’s how we’re reinventing what’s possible every day.
This is a work-from-office / In-Office role based in our Hyderabad, India location.
We are looking for a Senior Software Engineer to join our team and work on the development of our SaaS product. In this role, you will lead the development of new features, improve system architecture, and ensure the scalability and reliability of our cloud-based software. You will collaborate with cross-functional teams to deliver high-quality software and contribute to the continuous improvement of the product.
Key Responsibilities:
- Architect and Design Software Solutions: Contribute towards design and architecture of new features for our SaaS product. Ensure that solutions are scalable, maintainable, and meet customer needs.
- Develop & Implement Features: Build and maintain robust and high-performing software solutions for our SaaS platform, writing clean, efficient, and testable code.
- Collaborate with Cross-Functional Teams: Work closely with product managers, designers, and other engineers to define and implement product features, ensuring that business requirements and customer needs are met.
- Optimize and Scale: Continuously improve application performance and scalability, focusing on optimizing cloud-based resources and database performance.
- Maintain Code Quality: Write unit and integration tests, conduct code reviews, and ensure adherence to coding standards. Participate in code reviews and provide feedback on engineering best practices.
- Mentorship: Provide technical leadership and mentorship to junior engineers, helping them grow their skills and achieve their career goals.
- Troubleshoot and Debug: Investigate and resolve software issues, working with the support team to fix bugs and improve the overall user experience.
- Security & Compliance: Ensure the SaaS product complies with security best practices and regulatory standards. Implement security features to protect user data and sensitive information.
- Continuous Improvement: Stay up to date with the latest technologies and industry trends, and incorporate modern practices into the development process. Participate in the iterative process of refining and evolving the product.
- Documentation: Produce clear technical documentation to support the development, deployment, and maintenance of software systems.
Required Skills and Qualifications:
- Bachelor's Degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
- Proven Experience: At least 8+ years of professional experience in software development, with significant experience working on SaaS products or cloud-based platforms.
- Programming Languages: Strong proficiency in languages commonly used for SaaS development (e.g., Golang, JavaScript, TypeScript, Python, Scala, Java).
- Cloud Platforms: Experience working with cloud platforms such as AWS, or Google Cloud, and an understanding of cloud architecture, microservices, and containerization..
- Database Management: Strong knowledge of relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB) and experience with database optimization.
- DevOps and CI/CD: Hands-on experience with CI/CD pipelines, containerization (Docker), and orchestration tools (e.g., Kubernetes).
- Agile Methodologies: Familiarity with Agile development processes and tools (e.g., Jira, GitHub).
- Version Control: Proficiency with version control tools like Git.
- Problem Solving: Excellent analytical and problem-solving skills, with a focus on delivering high-quality solutions.
- Communication: Strong written and verbal communication skills. Ability to communicate complex technical concepts to non-technical stakeholders.
Preferred Skills:
- SaaS Experience: Experience building, maintaining, and scaling SaaS applications, particularly in high-availability and high-traffic environments.
- Microservices Architecture: Familiarity with microservices architecture and cloud-native application patterns.
- Test Automation: Experience with test automation frameworks and practices.
- Security: Understanding of web application security, data encryption, and secure coding practices.
- Leadership: Previous experience mentoring or leading engineering teams.
About Plume
As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world’s largest such as Comcast, Charter, Liberty Global, and J:COM.
Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume’s software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture.
Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.
Ready to apply?
Apply to Plume
Life at Plume
At Plume, we believe that technology isn't about moving faster, it's about making life’s moments better. Which is why we’ve built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale.
We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We’re expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data.
With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can’t do it exceptionally well, we don’t do it. It’s how we've assembled a team of world-class builders, thinkers, and doers. And it’s how we’re reinventing what’s possible every day.
This is a work-from-office / In-Office role based in our Hyderabad, India location.
Responsibilities:
- API Development: Design, implement, and maintain RESTful and gRPC APIs powering internal and external applications.
- Cloud Microservices: Architect and deploy scalable microservices in AWS/GCP/Azure using Kubernetes and modern DevOps practices.
- Data Pipelines: Build real-time and batch data pipelines, ensuring data accuracy, performance, and observability (EMR on EKS).
- Collaboration: Partner with cross-functional squad members to deliver features end-to-end, from concept to production.
- System Reliability: Optimize services for scalability, resilience, and high availability.
- Engineering Excellence: Contribute to architecture discussions, enforce coding standards, and drive best practices in CI/CD, testing, and monitoring.
- Security: Embed security and compliance into backend systems and data workflows.
Qualifications:
- Strong proficiency in Scala, Go, or Java and Python (experience with multiple is a plus).
- Proven experience with distributed systems, microservices, and event-driven architectures.
- Fundamental understanding of computer networking (including Wi-Fi), operating system, and database
- Hands-on expertise in cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
-
Experience with Akka Streams/ Akka Actors.
- Familiarity with data engineering (ETL pipelines, real-time streaming with Kafka/Pulsar, batch processing frameworks).
- Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra, DynamoDB).
- Solid knowledge of CI/CD pipelines, testing frameworks, observability tools (Grafana, Prometheus, ELK).
- Strong problem-solving skills and the ability to thrive in an agile, squad-based environment.
Nice To Have:
- Functional programming experience in Scala.
- Experience with caching layers, distributed storage, and message queues.
- Familiarity with AI-powered developer tools such as ChatGPT, Cursor, GitHub Copilot, or similar to boost productivity.
- Contributions to open-source projects or personal projects showcasing backend innovation.
About Plume
As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world’s largest such as Comcast, Charter, Liberty Global, and J:COM.
Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume’s software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture.
Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.
Ready to apply?
Apply to Plume
Staff Software Engineer -ML/AI
Share this job
Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device. Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions.
Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise. Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X.
Lookout’s backend system supports a massive volume of data and an increasingly high level of demand, from data ingestion to delivery to dynamic analysis. We’re looking for talented and motivated engineers to build core components and services, as well as to contribute to evolving the architecture. We’re a small team working on a very large, modern system with a user base of millions, so you’ll get to work on a cutting-edge product and service on a large scale. We’re responsible for building and maintaining several of the services powering the various Lookout applications..
What you’ll do:
- You will be part of a dynamic and technically diverse group of engineers, where you will get to contribute, influence, learn and grow top notch technical skill sets, while building key features for our customers.
- Own the full machine learning lifecycle, from initial research and design to production deployment, monitoring, and continuous retraining.
- Establish and implement robust frameworks to train, evaluate, stress-test, and monitor ML/AI systems, driving continuous improvement and preventing model drift.
- Address and navigate real-world scale and performance challenges, ensuring all ML/AI models and systems are efficient, robust, and maintain target quality/latency under production constraints.
- Set technical direction as a senior Individual Contributor (IC) and mentor junior engineers.
- Quality is the forefront of all we do, so you will assist with improving all forms of automated testing (unit, integration, functional etc).
- We believe in, and practice, end to end service ownership, so you will fully participate in the ownership of your services and components, including on-call duties.
What we’re looking for:
- BS/MS in Computer Science or related field/degree with at least 5-8 years of work experience.
- A proven track record of architecting and deploying practical, high-impact ML/AI systems over multiple years, translating complex models into robust, real-world solutions.
- Experience working cross-functionally with data engineers, platform engineers, and product stakeholders to bring ML/AI systems to life.
- Expert proficiency in Python and strong software engineering skills, including the ability to write reliable, production-grade code. In-depth experience with major ML/Deep Learning frameworks: PyTorch, TensorFlow, scikit-learn.
- Familiarity with modern AI/ML stacks like Hugging Face and LangChain.
- Deep expertise in a wide range of standard ML algorithms, including classification, clustering, regression, and deep learning models.
- Hands-on experience with the LLM/RAG stack components: embeddings, knowledge graphs, vector databases, retrieval strategies, and prompt engineering.
- Proven ability to measure and optimize model efficacy using statistical methods.
- Hands-on experience with production ML infrastructure, including feature stores, model management, training/serving pipelines (MLOps), and monitoring tools.
- Up-to-date with new advances in NLP, LLMs and agent-frameworks.
- Strong grasp of software engineering fundamentals and algorithms.
- Experience with implementing secure, scalable API services.
Bonus Points:
- Practical experience applying advanced techniques to enhance model efficiency, including model distillation (creating smaller, faster student models) and model quantization (reducing memory footprint and latency).
- Experience with efficient Large Language Model (LLM) fine-tuning methods like LoRA and other PEFT techniques.
- Experience working with coding agents (Cursor, Copilot, Claude Code etc..)
- Experience with event streaming frameworks, technologies, patterns and architectures (particularly Kafka or similar)
- Professional programming experience with Scala and Golang
- Experience with serverless architectures on AWS, GCP.
- Experience with Kubernetes, container technology (Docker, ECS, EKS).
Ready to apply?
Apply to Lookout Inc
Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device. Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions.
Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise. Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X.
Lookout’s backend system supports a massive volume of data and an increasingly high level of demand, from data ingestion to delivery to dynamic analysis. We’re looking for talented and motivated engineers to build core components and services, as well as to contribute to evolving the architecture. We’re a small team working on a very large, modern system with a user base of millions, so you’ll get to work on a cutting-edge product and service on a large scale. We’re responsible for building and maintaining several of the services powering the various Lookout applications..
What you’ll do:
- You will be part of a dynamic and technically diverse group of engineers, where you will get to contribute, influence, learn and grow top notch technical skill sets, while building key features for our customers.
- Own the full machine learning lifecycle, from initial research and design to production deployment, monitoring, and continuous retraining.
- Establish and implement robust frameworks to train, evaluate, stress-test, and monitor ML/AI systems, driving continuous improvement and preventing model drift.
- Address and navigate real-world scale and performance challenges, ensuring all ML/AI models and systems are efficient, robust, and maintain target quality/latency under production constraints.
- Set technical direction as a senior Individual Contributor (IC) and mentor junior engineers.
- Quality is the forefront of all we do, so you will assist with improving all forms of automated testing (unit, integration, functional etc).
- We believe in, and practice, end to end service ownership, so you will fully participate in the ownership of your services and components, including on-call duties.
What we’re looking for:
- BS/MS in Computer Science or related field/degree with at least 5-8 years of work experience.
- A proven track record of architecting and deploying practical, high-impact ML/AI systems over multiple years, translating complex models into robust, real-world solutions.
- Experience working cross-functionally with data engineers, platform engineers, and product stakeholders to bring ML/AI systems to life.
- Expert proficiency in Python and strong software engineering skills, including the ability to write reliable, production-grade code. In-depth experience with major ML/Deep Learning frameworks: PyTorch, TensorFlow, scikit-learn.
- Familiarity with modern AI/ML stacks like Hugging Face and LangChain.
- Deep expertise in a wide range of standard ML algorithms, including classification, clustering, regression, and deep learning models.
- Hands-on experience with the LLM/RAG stack components: embeddings, knowledge graphs, vector databases, retrieval strategies, and prompt engineering.
- Proven ability to measure and optimize model efficacy using statistical methods.
- Hands-on experience with production ML infrastructure, including feature stores, model management, training/serving pipelines (MLOps), and monitoring tools.
- Up-to-date with new advances in NLP, LLMs and agent-frameworks.
- Strong grasp of software engineering fundamentals and algorithms.
- Experience with implementing secure, scalable API services.
Bonus Points:
- Practical experience applying advanced techniques to enhance model efficiency, including model distillation (creating smaller, faster student models) and model quantization (reducing memory footprint and latency).
- Experience with efficient Large Language Model (LLM) fine-tuning methods like LoRA and other PEFT techniques.
- Experience working with coding agents (Cursor, Copilot, Claude Code etc..)
- Experience with event streaming frameworks, technologies, patterns and architectures (particularly Kafka or similar)
- Professional programming experience with Scala and Golang
- Experience with serverless architectures on AWS, GCP.
- Experience with Kubernetes, container technology (Docker, ECS, EKS).
Ready to apply?
Apply to Lookout
Senior Software Engineer - Backend
Share this job
Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device. Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions.
Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise. Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X.
Lookout’s backend system supports a massive volume of data and an increasingly high level of demand, from data ingestion to delivery to dynamic analysis. We’re looking for talented and motivated engineers to build core components and services, as well as to contribute to evolving the architecture. We’re a small team working on a very large, modern system with a user base of millions, so you’ll get to work on a cutting-edge product and service on a large scale. We’re responsible for building and maintaining several of the services powering the various Lookout applications. We build services in Ruby & Scala, are hosted on AWS and firmly believe in using the cloud to our advantage.
What you’ll do:
- You will be part of a dynamic and technically diverse group of engineers, where you will get to contribute, influence, learn and grow top notch technical skill sets, while building key features for our customers.
- Implement large scale, low latency microservices, including discovering and solving complex issues at scale.
- We believe in, and practice, end to end service ownership, so you will fully participate in the ownership of your services and components, including on-call duties.
- Quality is the forefront of all we do, so you will assist with improving all forms of automated testing (unit, integration, functional etc).
- Help troubleshoot, analyze and root cause issues in the platform.
- You will work on microservices built with Golang, Scala, Java and Ruby, hosted in AWS.
What we’re looking for:
- BS/MS in Computer Science or related field/degree with at least 3-5 years of work experience.
- Professional programming experience with Golang, Python, Scala, Java and/or Ruby+Rails.
- Strong grasp of software engineering fundamentals and algorithms.
- Experience with event streaming frameworks, technologies, patterns and architectures (particularly Kafka or similar)
- Experience with implementing secure, scalable API services
- Experience with transactional databases and data modeling (Postgres, MySQL, DynamoDB or equivalent)
- Cloud development experience (especially AWS).
- A pragmatic and curious problem-solver. You thrive on breaking down complex challenges, asking insightful questions to understand the "why," and delivering effective, practical solutions.
- A high-ownership collaborator with keen attention to detail. You take full accountability for your work, communicate clearly with your team, and are obsessed with shipping high-quality, well-crafted code.
Bonus Points:
- Experience with serverless architectures on AWS, GCP.
- Experience with Kubernetes, container technology (Docker, ECS, EKS).
- Experience with functional programming in TypeLevel Scala (cats-effect, ZIO, FS2, etc).
- Experience with ML/LLMs (prompt engineering, RAG, classification, NLP, fine tuning etc) is a huge plus.
- Experience with AI development tools like Cursor, Claude Code, Github Copilot, etc.
Ready to apply?
Apply to Lookout Inc
Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device. Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions.
Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise. Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X.
Lookout’s backend system supports a massive volume of data and an increasingly high level of demand, from data ingestion to delivery to dynamic analysis. We’re looking for talented and motivated engineers to build core components and services, as well as to contribute to evolving the architecture. We’re a small team working on a very large, modern system with a user base of millions, so you’ll get to work on a cutting-edge product and service on a large scale. We’re responsible for building and maintaining several of the services powering the various Lookout applications. We build services in Ruby & Scala, are hosted on AWS and firmly believe in using the cloud to our advantage.
What you’ll do:
- You will be part of a dynamic and technically diverse group of engineers, where you will get to contribute, influence, learn and grow top notch technical skill sets, while building key features for our customers.
- Implement large scale, low latency microservices, including discovering and solving complex issues at scale.
- We believe in, and practice, end to end service ownership, so you will fully participate in the ownership of your services and components, including on-call duties.
- Quality is the forefront of all we do, so you will assist with improving all forms of automated testing (unit, integration, functional etc).
- Help troubleshoot, analyze and root cause issues in the platform.
- You will work on microservices built with Golang, Scala, Java and Ruby, hosted in AWS.
What we’re looking for:
- BS/MS in Computer Science or related field/degree with at least 3-5 years of work experience.
- Professional programming experience with Golang, Python, Scala, Java and/or Ruby+Rails.
- Strong grasp of software engineering fundamentals and algorithms.
- Experience with event streaming frameworks, technologies, patterns and architectures (particularly Kafka or similar)
- Experience with implementing secure, scalable API services
- Experience with transactional databases and data modeling (Postgres, MySQL, DynamoDB or equivalent)
- Cloud development experience (especially AWS).
- A pragmatic and curious problem-solver. You thrive on breaking down complex challenges, asking insightful questions to understand the "why," and delivering effective, practical solutions.
- A high-ownership collaborator with keen attention to detail. You take full accountability for your work, communicate clearly with your team, and are obsessed with shipping high-quality, well-crafted code.
Bonus Points:
- Experience with serverless architectures on AWS, GCP.
- Experience with Kubernetes, container technology (Docker, ECS, EKS).
- Experience with functional programming in TypeLevel Scala (cats-effect, ZIO, FS2, etc).
- Experience with ML/LLMs (prompt engineering, RAG, classification, NLP, fine tuning etc) is a huge plus.
- Experience with AI development tools like Cursor, Claude Code, Github Copilot, etc.
Ready to apply?
Apply to Lookout