The application window will be open until at least April 24, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

This role is not eligible for immigration sponsorship.

Role Description

As an Application Engineer, you will join GFiber's Product Catalog engineering team. This highly visible team is responsible for designing, implementing, and maintaining the critical systems and rules engines that control GFiber's product offerings. In this role, your understanding of product catalog architectures, rule integrity, and hands-on software engineering skills are key aspects that will help you drive our technical roadmap and collaborate effectively with product teams and business analysts.

Our ecosystem relies heavily on in-house Kotlin microservices running on Google Cloud Platform (GCP), utilizing Redis for caching, and integrating deeply with Salesforce—which acts as the system of record for our rule data. You will apply industry-standard implementation patterns to build and maintain these services, ensuring seamless integration with third-party CPQ platforms like Vlocity and Salesforce CPQ. As a team member, you will also foster a collaborative environment, providing mentorship and technical guidance to distributed engineers to ensure the continuous enhancement and optimal performance of our software end-to-end

In this role, you'll:

• Leverage Kotlin microservices communicating with third-party integrations to build, design, and manage the rules engine that controls GFiber's product catalog.
• Use Kotlin and related technologies, including Spring Boot, Redis, and other related frameworks on Google Cloud Platform.
• Work on a team of distributed backend engineers, fostering a team culture of collaboration by providing space to ask questions, offer technical guidance, and share ideas.
• Collaborate with internal development and cross-functional teams, such as technical program managers, engineering managers, and other engineers, to successfully deliver projects within agreed-upon timelines.
• Participate in an on-call rotation to respond to outages and emergency issues.

At a minimum we'd like you to have:

• Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience.
• 6 years of experience in software design and development using Java and/or Kotlin.
• 3 years of experience in building services related to product inventory and rule engines.
• Experience using development tools such as GitHub and Harness.io.

It's preferred if you have:

• Experience developing for Google Cloud Platform (GCP).
• Experience developing systems integrated with and/or hands-on experience using Salesforce (Sales Cloud, Service Cloud, Vlocity, Salesforce CPQ).

The US base salary range for this full-time position is between $156,800 - $172,500 + bonus + cash award + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.

#LI-DNI

Overview

As the Senior Software Engineer for Scout Motor’s digital products, you will play a key role in the development and enhancement of our software products, from concept to deployment. You will work closely with cross-functional teams to design, develop, and implement scalable and robust solutions that meet our customers' needs and exceed their expectations. Some of the key products as part of digital portfolio are – mobile and desktop applications, vehicle connectivity solutions, mapping services, production, inventory and planning optimization, servicing and repairs, and more. At the same time, you’ll have plenty of opportunities to be hands-on building key systems and will be directly responsible for the successful delivery of complex and large-scale technical efforts as well acting as a technical mentor and leader for other engineers.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Work with engineers & technical leaders across the company to ship interoperable products and systems on strong foundations that manage customer interactions inside and outside of the vehicle
• Lead the architecture, design, and development of complex software systems, ensuring scalability, reliability, and performance
• Collaborate with product managers, designers, and other stakeholders to understand requirements and translate them into technical specifications and deliverables
• Implement single sign-on solutions to allow users to authenticate once and access multiple applications securely. Design, implement and support identity, access and profile related services for multiple web applications, mobile apps and vehicle apps supporting internal and customer as users
• Implement best practices and standards for software development, including code reviews, testing, and documentation
• Mentor and coach junior team members, providing guidance and support to help them grow and succeed
• Stay current with emerging technologies and industry trends, continuously learning and experimenting with new tools and techniques to improve our software development process
• Be responsible for the services that are owned by your team, ensuring 24/7 on-call coverage

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Fremont, California. We will consider remote applicants for this role. This role is not eligible for remote work in New York City.
• The responsibilities of this role require one day a week attendance in office with in-person meetings and events regularly. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Education/Certifications: A Bachelor’s degree in Computer Science, or a related technical field
• Years of Experience required: 5+ years in software development, with a focus on back-end technologies
• Communication: Strong written and verbal communication skills, with the ability to clearly articulate technical concepts to non-technical stakeholders
• Ability to work effectively in a fast-paced, collaborative environment, both independently and as part of a team
• Proficiency in one of Go, Node.js, Python, Java, or Ruby
• Experience with both relational and/or non-relational databases (e.g., MySQL, PostgreSQL, MongoDB, Redis)
• Experience with identity management systems (e.g., Azure AD, AWS Cognito, LDAP, Okta, Keyclock) and directory services for user authentication and management
• Strong understanding of software architecture, design patterns, and best practices
• Excellent problem-solving and troubleshooting skills, with a passion for finding elegant solutions to complex challenges

Preferred:

• Prior experience working experience in a manufacturing or automotive environment
• Hands on experience building on AWS using Go and/or Python
• Full-stack development

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $140,000.00 - $170,000.00

Initial California base salary range = $154,000.00 - $187,000.00

Internal leveling code: IC9

Who We Are

Babylist is the leading registry, e-commerce, and content platform for growing families. More than 9 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, trusted guidance, and expert product recommendations for new parents and the people who love them. What began as a universal registry has grown into a full ecosystem for new parents, including the Babylist Shop, Babylist Health, and a flagship showroom in Los Angeles. Hundreds of brands in baby and beyond partner with Babylist to engage meaningfully with families during one of life’s most important transitions. With over $1 billion in annual GMV, and more than $500 million in 2024 revenue, Babylist is reshaping the $320 billion baby product industry. We’re helping parents feel confident, connected, and cared for at every step. As we build the generational brand in baby, our mission remains simple: to connect growing families with everything they need to thrive.To learn more, visit www.babylist.com.

Our Ways of Working

Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up.

How We Build

Babylist is in the middle of a fundamental shift in how software gets made, and we are not tiptoeing into it. We are rebuilding our engineering culture around a simple belief: AI changes everything. How teams are structured, how decisions get made, how fast ideas become working software. Our engineers own problems end to end, working directly with product, design, and business partners with short feedback loops and real stakeholder access. We ship, learn, and iterate fast. When something is not working, we throw it out and start over — project failure and personal failure are not the same thing here. AI tools are as natural to our workflow as an IDE or version control. We are not exploring this, we are living it. Our engineers use AI to explore tradeoffs, pressure-test designs, and move from problem to solution in hours instead of days. They generate code with AI so they can stay focused on the decisions that actually require human judgment — not the routine ones. More velocity means more time for craft: better test coverage, stronger architecture, and deeper customer understanding. We hold ourselves to a higher quality bar because of AI, not in spite of it. We are building this playbook in real time, and we are looking for people who want to build it with us. If you have already changed how you work because of AI — or you are ready to — and you care more about shipping something great than following a prescribed process, we should talk.

Our Tech Stack 

• React, Native iOS and Android
• Ruby on Rails
• AWS, Terraform
• MySQL
• Sidekiq
• Redis
• Shopify

What the Role Is

As Babylist’s Senior Engineering Manager, Machine Learning & Discovery+Site Monetization, you’ll lead the team driving the next era of our machine learning and personalization efforts across the product. This is a hands-on leadership role for a manager who remains technically fluent while scaling people, systems, and impact. You’ll manage and grow a high-performing ML-focused pod spanning product recommendations, search, PLPs, and site monetization, with a clear mandate: maximize revenue and user value across surface areas through personalization.

You’ll guide the team on technical direction behind our homepage feed, “add next” experience, and other core personalization surfaces, while building the foundations for long-term ML excellence at Babylist.

Who You Are

• 3+ years of experience as a front-line manager delivering production-grade software or ML systems
• 5+ years of experience as an individual contributor in ML or Data Science, plus proven experience leading teams that build end-to-end machine learning systems, ideally in personalization, recommendations, or consumer-facing ML products
• Deep familiarity with the Python ML ecosystem (e.g., pandas, sklearn, xgboost, PyTorch) and comfortable reviewing designs, unblocking technical challenges, and setting high technical standards
• Experience supervising ML Engineers and/or Data Scientists; bonus points for experience managing Software Engineers
• Strong understanding of the full ML lifecycle, including data pipelines, workflow orchestration (e.g., Airflow), deployment, monitoring, and iteration in production
• Product-minded: passionate about technology, but primarily motivated by solving real user problems and driving business impact
• Experience working with large-scale, real-time or near-real-time data systems
• Comfortable owning and evolving the ML tech stack end-to-end, from data and modeling through production systems
• Background in consumer-facing products; experience in e-commerce, marketplaces, or complex user journeys is strongly preferred
• You're genuinely excited about what AI can do - not just as a concept, but as something you want to get your hands on. At Babylist, every team uses AI daily, and we're looking for people who lean in.

How You Will Make An Impact

• Build and lead the ML & personalization function: Hire, mentor, and support a multidisciplinary team (Machine Learning Engineers, Software Engineers, Product Manager, and occasional Designer), shaping the roadmap, standards, and culture for ML at Babylist
• Own high-impact ML initiatives: Deliver personalization systems that improve discovery, engagement, and monetization across key surfaces, directly impacting business outcomes
• Set technical and algorithmic direction: Define modeling approaches, data strategy, and system architecture in partnership with senior technical leaders, balancing experimentation with scalable execution
• Be hands-on when needed: Review ML/DS designs and code, build proof-of-concept models, and conduct your own data science research to de-risk ideas and accelerate progress
• Develop talent: Coach engineers on technical growth, career progression, and performance, combining strong technical standards with empowerment
• Drive cross-functional alignment: Partner closely with Product, Design, Analytics Engineering, and Data to translate ambiguous business problems into clear technical direction
• Understand the full funnel: Develop a deep understanding of Babylist’s user journeys, user feedback loops, and financial models — and how ML systems influence them end-to-end

About Compensation

We use a market-based approach to compensation. The starting salary range for this role is:

USD - $250,000 to $308,000
CAD - $230,000 to $288,000

Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity.

Why You Will Love Working At Babylist

Our Culture

• We work with focus and intention, then step away to recharge
• We believe in exceptional management and invest in tools and opportunities to connect with colleagues
• We build products that positively impact millions of people's lives
• AI tools are as natural to how we work as your IDE or version control — we're not exploring this, we're living it.

Growth & Development

• Competitive pay and meaningful opportunities for career advancement
• We believe technology and data can solve hard problems
• We're committed to career progression and performance-based advancement

Compensation & Benefits

• Competitive salary with equity and bonus opportunities
• Company-paid medical, dental, and vision insurance
• Retirement savings plan with company matching and flexible spending accounts
• Generous paid parental leave and PTO
• Remote work stipend to set up your office
• Perks for physical, mental, and emotional health, parenting, childcare, and financial planning

Important Notices

Recorded Interviews Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription.

Interview Integrity At Babylist, every team uses AI daily and we love it. During interviews though, we want to see you — your thinking, your problem-solving, your creativity. All interviews and assessments should be completed independently without AI tools or third-party assistance unless we tell you otherwise. We'll always be clear when AI is welcome. Misrepresentation during the process may result in removal from consideration.

Protect Yourself from Scams All official communication comes from the Babylist Talent Team via @babylist.com email addresses. We will never ask for payment, bank information, or personal financial details. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles on our careers page.

Connections at Babylist In line with our conflict of interest policy, please let us know if you have a family member or close personal relationship with a current Babylist employee. This helps us keep our process fair for everyone.

Text Message Updates You may opt in to receive SMS updates about your application. Opting out won't affect your status. Message and data rates may apply. Reply STOP to unsubscribe or HELP for assistance. See our Privacy Policy for details.

Power the Future of AI at Roblox!

Join the AI Platform team at Roblox, where we are building the infrastructure that enables world-class AI/ML experiences. Our mission is to empower developers and creators by providing scalable, high-performance systems that drive AI innovation at an unprecedented scale.

As an AI Platform Engineer specializing in ML Infrastructure, Training data Infrastructure and Feature Store Infrastructure, you will design and build next-generation ML data platforms, enabling AI applications across recommendations, search, safety, content generation, fraud detection, and more. Your work will directly impact millions of users, supporting AI-driven experiences across the entire Roblox ecosystem.

Why This Role?

• Massive Impact: Your contributions will support billions of daily interactions, powering AI-driven experiences across gaming, learning, social connections, and digital creativity.
• End-to-End Ownership: Be a key architect in defining and building Roblox’s Training Data pipelines and Feature Store infrastructure from the ground up.
• Cutting-Edge Growth: Work at the intersection of AI/ML, data engineering, and distributed systems, solving some of the most complex large-scale challenges in the industry.

You will:

• Develop a scalable Feature Store: Architect and implement a system that supports both batch and real-time feature computation, storage, and serving, enabling low-latency AI inference at scale. Develop Sequence Feature Stores to collect raw user events and power training of transform models for recommendation engines at Roblox. 
• Develop Roblox’s first training data platform: Architecture and engineer training data collection, reusability and reliability while solving world class engineering problems like point-in-time joins, feature injection. Power batch and realtime model training. 
• Engineer large-scale ML data pipelines: Design, optimize, and maintain high-throughput streaming and batch ETL pipelines that ingest, process, and serve billions of records per day.
• Build a feature engineering framework to empower 100s of machine learning engineers to develop, author, experiment and productionize millions of signals into the system quickly, easily and reliably. 
• Enable online and offline inference: Ensure real-time, low-latency feature access for AI inference while maintaining consistency and robustness for batch model training.
• Collaborate with cross-functional AI teams: Partner with ML researchers, data engineers, and product teams to build the next-gen AI infrastructure that fuels innovation at Roblox.
• Research & innovate: Stay at the forefront of AI infrastructure by exploring the latest in VectorDBs, Feature Stores, Graph ML, Agentic Systems and Real-time AI serving. 

You have:

• 5+ years of experience in AI/ML data infrastructure, feature stores, training data infrastructure. Experience working with industry leading NoSql databases like DynamoDB, Cassandra, cockroachDB and many more. 
• Expertise in building scalable ML data pipelines for both batch and real-time environments.
• Strong software engineering skills with experience in distributed computing frameworks (e.g., Spark, Flink, Ray) and real-time data systems (e.g., Kafka, Redis, DynamoDB).
• Deep knowledge of ML Feature Stores (e.g., Feast, Tecton, Vertex AI Feature Store) and embedding/vector search infrastructure.
• Familiarity with Knowledge Graphs and graph-based ML applications (e.g., Neo4j, TigerGraph, AWS Neptune).
• A Bachelor's degree in Computer Science, Engineering, or a related field

Service Reliability Engineer

Do you want to use transformative technologies to achieve greater scalability and efficiency? Do you want a career that combines your engineering skills and your passion for video gaming? Are you fascinated by the technologies behind the Internet and cloud computing? If so, join us!

As a part of Sony Computer Entertainment, the Gaming, Developer, and Future Technology group (GDFT) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels.

We expect our SREs to have opinions on the state of our service, and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the S/W development lifecycle, ensuring operational readiness and stability.

Requirements

• Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role.
• Strong written and verbal communication skills; able to work effectively with engineers and stakeholders.
• Willingness to participate in an on-call rotation and lead/assist in incident response
  
  

Skills & Knowledge

• 5+ years of experience in software development and/or Linux systems administration in production environments.
• BS in Computer Science or equivalent experience required. 
• Hands-on experience with Kong API Gateway or similar enterprise API gateway technologies.
  • Operate and troubleshoot the gateway in production: routing/services, plugins, TLS/cert management, authn/authz, and performance/latency tuning.
  • Own lifecycle and reliability practices: upgrades and configuration changes (IaC/GitOps), safe rollouts/rollback, monitoring, etc.
• Hands-on experience with Service Mesh technologies such as Istio, Linkerd or Kuma.
• Strong understanding of traffic management concepts, including routing, retries, timeouts, circuit breaking and traffic shifting (canary, blue/green)
• Familiarity with mTLS, service-to-service communication, and zero-trust networking principles
• Experience troubleshooting service mesh-related issues, including latency, connectivity, and policy misconfigurations
• Development experience in one or more of the following programming languages:
  • Python (preferred)
  • Bash, Go, Java, C++, or Rust

In addition, experience with:

• Distributed data storage at scale (Ceph, Rook)
• NoSQL at scale (MongoDB clusters, sharded Redis, Cassandra)
• Data Aggregation technologies. (ElasticSearch, Kafka)
• Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability
• Observability and incident management: Prometheus, Grafana, alerting/on-call workflows, post-incident review.
• Container orchestration (Kubernetes, Rancher) at scale
• Release Engineering (Package management and distribution at scale)
• S/W Performance analysis and load testing (QA or SDET experience: a plus)

Senior Service Reliability Engineer

Location: Aliso Viejo | Hybrid 

As a part of Sony Computer Entertainment, the Gaming, Developer and Future Technology Group (GDFT) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond.

Our Service Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers.  We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels.

We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the S/W development lifecycle, ensuring the operational readiness and stability.

Responsibilities

• Taking a leadership role in ongoing improvements in Reliability and Scalability

• Work closely with SRE Management to define KPIs, processes and drive continuous improvement

• Influence the architecture and implementation of solutions within the division

• Mentor more junior SRE staff and enable them for success

• Act as a voice to represent SRE in the wider organization

• Represent the operational scalability of solutions in the wider division

• Lead small-scale projects from inception to implementation

• Design platform-wide solutions and provide technical leadership during their implementation

• Demonstrate a high-level of organizational skills and initiative in the role

Qualifications: 

• Minimum of 7+ years working experience in Software Development and/or Linux Systems Administration role.

• Bachelor’s degree or equivalent expereince

• Strong interpersonal, written and verbal communication skills.

• Available to be scheduled in on-call rotation.

• Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure.

• Development experience in one or more of the following programming languages:

  • Python (preferred)

  • Bash, Go, Java, C++, or Rust

• In addition, experience with at least 3 of the following topics:

  • Distributed data storage at scale (Hadoop, Ceph)

  • NoSQL at scale (MongoDB, Redis, Cassandra)

  • Data Aggregation technologies. (ElasticSearch, Kafka)

  • Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability

  • Monitoring & Alerting (Prometheus, Grafana), and Incident Management toolsets 

  • Kubernetes and/or AWS (deployment and management)

  • Software Distribution (Package management and distribution at scale)

  • Configuration Management (ansible, saltstack, puppet, chef)

  • S/W Performance analysis and load testing (QA or SDET experience: a plus)

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role 

We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability. 

What You’ll Do 

• Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). 

• Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows. 

• Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve. 

• Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs). 

• Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost. 

• Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines. 

• Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.
• Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.

Qualifications

• 5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.
• Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling). 

• Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs. 

• Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go). 

• Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale. 

• Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable). 

• Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus). 

• Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads. 

• Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs). 

• Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.
• Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces. 

Preferred Experience

• AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows. 

• Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).
• Experience supporting ML feature stores, offline/online feature generation, or model training datasets. 

• Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies. 

• Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing. 

• Open-source contributions, publications, or conference speaking. 

• BS/MS in CS/Engineering or equivalent practical experience. 

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $165,000 - $175,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases

#LI-YW1

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role 

We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability. 

What You’ll Do 

• Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). 

• Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows. 

• Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve. 

• Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs). 

• Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost. 

• Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines. 

• Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.
• Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.

Qualifications

• 5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.
• Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling). 

• Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs. 

• Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go). 

• Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale. 

• Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable). 

• Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus). 

• Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads. 

• Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs). 

• Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.
• Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces. 

Preferred Experience

• AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows. 

• Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).
• Experience supporting ML feature stores, offline/online feature generation, or model training datasets. 

• Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies. 

• Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing. 

• Open-source contributions, publications, or conference speaking. 

• BS/MS in CS/Engineering or equivalent practical experience. 

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $165,000 - $175,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases

#LI-YW1

Role Overview

What is a Lead Software Engineer at SirenOpt?

A Lead Software Engineer at SirenOpt is a technical and cultural leader with deep expertise across multiple systems. You will make strategic decisions about major components, serve as a subject matter expert, and drive the quality, performance, and scalability of our products. You are trusted to operate autonomously, define professional standards, and are regularly sought for your judgment and advice.

You will own and run critical subsystems, introduce significant improvements, and extend our tools and infrastructure. You will mentor and coach teammates, providing regular, constructive feedback and helping define performance standards. You will manage and grow a team, guiding them technically and culturally, and foster an environment where everyone can become a leader.

As a Lead, you take ownership of problems and their resolutions, contribute meaningfully to solutions, and communicate with maturity and clarity, especially under pressure. You plan and drive project cycles, challenge your team to excel, and ensure that processes, documentation, and best practices are maintained. Above all, you embody the belief that strong leadership means sharing credit, taking responsibility, and helping others achieve more than they thought possible.

Key Responsibilities

• Lead the design, implementation, and scaling of critical subsystems related to cold plasma sensing devices and data visualization platforms
• Make strategic architectural decisions and introduce significant quality, performance, or scalability improvements
• Mentor and coach team members, fostering their technical and professional growth
• Provide actionable, high-quality code reviews and ensure consistency across the codebase
• Plan and drive project cycles, set priorities, and deliver on team and company goals
• Extend and improve internal tools and processes; identify and oversee tooling enhancements
• Communicate progress, challenges, and key decisions to leadership and stakeholders
• Hire, onboard, and develop engineering talent; define and uphold performance standards
• Promote a collaborative, inclusive, and mission-driven culture, where people work with and for each other

Qualifications

• Advanced proficiency in Python and/or TypeScript Node web stacks
• Deep experience with Linux environments; experience with Balena Fleet Management, Tailscale, Netdata, and Sentry is a plus
• Strong experience with data stores such as Redis and Postgres
• Demonstrated success leading teams and delivering complex projects independently
• Experience building or integrating with data visualization systems
• Proven track record of test driven development in a production environment
• Familiarity with the hardware/software interface, especially in the context of sensing devices
• Excellent communication skills; ability to provide clear, actionable feedback and project updates
• Experience with modern DevOps practices and CI/CD pipelines

Nice to Have

• Hands-on experience working with cold plasma sensing devices or similar instrumentation
• Expertise in fleet management tools (such as Balena) and secure networking (Tailscale)
• Experience with observability platforms (Netdata, Posthog, Sentry)
• Prior experience hiring and growing engineering teams
• Contributions to open-source projects or internal tools
• Experience developing style guides, technical documentation, or internal screencasts
• Background in scientific computing, signal processing, or IoT device integration

It’s ok if you don’t check all the boxes in the qualifications. We hire for the capacity and the drive to learn and grow. If there is something that you haven’t done, but you are capable, please apply!

At SirenOpt, leadership means lifting others up, sharing credit, and taking responsibility. If you are passionate about building outstanding teams and products, and helping others achieve more than they thought possible, we’d love to meet you.

Position Overview

We are seeking a skilled DevOps / Cloud Engineer to join the team responsible for managing core network platform - OSS. In this role, you will design, deploy, and operate cloud and hybrid infrastructure, build and maintain CI/CD pipelines, and take ownership of running third-party vendor software in our environment. You will bridge the gap between infrastructure and application operations, ensuring our systems are scalable, secure, highly available, and cost-efficient. 

Key Responsibilities:

• Design, deploy, and manage AWS cloud and hybrid infrastructure solutions using Infrastructure as Code (IaC) tools
• Deploy, operate, and maintain cloud environments across multi-account and multi-region AWS architectures
• Deploy, configure, and operate vendor-supplied software within our cloud/hybrid environment, serving as the operational owner for these applications
• Coordinate with vendors on installation, upgrades, patching, and configuration changes, translating vendor requirements into infrastructure and deployment solutions
• Ensure vendor applications meet our availability, performance, and security standards through own monitoring and incident management processes
• Own the security, availability, and reliability of infrastructure, applying best practices for IAM, encryption, and vulnerability management
• Build, maintain, and improve CI/CD pipelines that automate testing, security scanning, and deployment workflows
• Automate infrastructure provisioning, configuration management, and operational tasks to eliminate manual toil
• Implement and maintain monitoring, alerting, and observability tooling to enable proactive issue detection and resolution
• Analyze cloud performance metrics and resource utilization to continuously optimize system efficiency and control costs
• Partner closely with internal and vendor teams to align on cloud infrastructure deployment and integration practices - bridging code and underlying infrastructure
• Provide technical guidance and mentoring to teammates, driving engineering excellence 

Qualifications 

Education:

Bachelor’s degree in Computer Science, Engineering, or a related field — or equivalent professional experience.

Experience:

A minimum of 3+ years of hands-on experience in cloud infrastructure, DevOps, or site reliability engineering roles.

• Public Cloud Expertise (AWS, Azure or GCP): Proven hands-on experience with public cloud services including compute, networking, databases, K8s, IAM, monitoring
• Infrastructure as Code: Proficiency in Terraform or AWS CDK for building and managing infrastructure at scale
• CI/CD: Demonstrated experience designing and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, ArgoCD)
• Containerization & Orchestration: Solid experience with Docker and K8s for application deployment and management
• Hybrid & Multi-Environment Operations: Experience operating workloads across cloud and on-premises or hybrid environments
• Third-Party Software Operations: Experience deploying and managing vendor-provided applications in cloud environments, including coordination of upgrades, patching, and configuration
• Databases: Hands-on experience with SQL (e.g., PostgreSQL, MySQL/RDS) and NoSQL (e.g., DynamoDB, Redis/Elasticache) databases
• Messaging & Queuing: Familiarity with message-driven systems such as SQS, RabbitMQ or Kafka
• Scripting & Automation: Proficiency in at least one scripting language (Python, Bash, or similar) for automation tasks 

Preferred Qualifications: 

• AWS or Azure/GCP certification (e.g., AWS Certified DevOps Engineer, Solutions Architect)
• Skills in remote debugging and troubleshooting distributed systems
• Familiarity with security and compliance frameworks (e.g., SOC 2, ISO 27001)
• Experience with observability platforms (e.g. Prometheus/Grafana, ELK)
• English proficiency at B2 level or above; able to collaborate effectively with global, cross-functional teams
• Experience in software development is a plus
• Background in telecom, satellite, or other high-availability, mission-critical environments is a plus 

Soft Skills:

• Strong problem-solving mindset with a bias toward automation and operational efficiency
• Collaborative and communicative — comfortable working in a globally distributed team
• Ownership mentality - take responsibility for end-to-end reliability of systems under your care
• Adaptable and self-directed, with the ability to manage competing priorities in a fast-paced environment
• Meticulous attention to detail in documentation, change management, and operational procedures 

Technology Stack:

• Cloud - AWS (EC2, EKS, RDS, DynamoDB, Elasticache, S3, Route53, VPC networking, IAM, CloudWatch)
• IaC - Terraform, AWS CDK
• Containers & Orchestration - Docker, K8s
• CI/CD - GitHub Actions, GitLab CI, Jenkins, ArgoCD (or similar)
• Messaging - SQS, Kafka
• Scripting - Python, Bash
• Databases - PostgreSQL, MySQL, DynamoDB, Redis
• Monitoring & Observability - Prometheus, Grafana, CloudWatch
• Version Control - Git 

Physical Requirements 

• Ability to work in a standard office or remote home-office environment and use a computer for extended periods
• Ability to participate in occasional after-hours incident response actions

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

ABOUT THE COMPANY:

Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth.

With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate.

Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future.

THE OPPORTUNITY:

At Clari + Salesloft, our Principal Engineer will be pivotal to our company’s success. You will be a key member of our fast-growing and high-performing Product Engineering org. We are looking for experienced Principal Engineers who can help realize Clari + Salesloft vision with their passion and proven track record of excellence and innovation. We are looking for engineers who are passionate about their work and who thrive working on leading-edge cloud-based technologies to develop ground-breaking AI-driven enterprise-grade applications.

On a day-to-day basis, you will be responsible to -

• Shape future-proof interfaces that are easy to build against and meet the requirements of client-facing teams
• Brainstorm with Product Managers, Designers and Engineers, and other cross-functional partners to conceptualize and build new features for our growing user base
• Produce high-quality results by leading large cross-functional projects that have a significant impact on the business
• Debug production issues across services and multiple levels of the stack, and uplevel the observability and reliability of the overall system
• Own architecture decisions across multiple teams, drive long term technical strategy, and raise the bar for engineering excellence company-wide
• Mentor Staff and Senior engineers 

In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to work on impactful and revolutionary software that is changing the way sellers sell. You will have an opportunity to make a difference. 

WHAT WE’RE LOOKING FOR:

We are seeking Principal Software Engineers who would be Working on cutting-edge technologies alongside a highly motivated and skilled team eager to learn and grow together

If you’re looking for an opportunity to learn more, do more, and become more, then becoming a Principal Software Engineer is the career path for you!

THE TEAM:

The Engineering Team at Clari + Salesloft is deeply committed to building an enterprise-grade platform that serves as the backbone for our customer's most critical business process - Revenue. With an unrelenting commitment to innovation, our mission is to craft the ultimate revenue intelligence platform for our customers. Rooted in Agile principles, we foster a culture of adaptability and efficiency across all our teams. If you're energized by the prospect of contributing to a dynamic environment that emphasizes collaboration, continuous improvement, and leveraging the forefront of technology to address customer needs, we would love to meet you.

THE SKILL SET:

• 12+ years of experience in building distributed systems or platform infrastructure designed for high-scale, data-intensive workloads
• Expert-level proficiency in Java or a similar object-oriented language and familiarity with infrastructure tooling (Airflow, Kubernetes, Ray, Terraform), service frameworks (FastAPI, gRPC), and observability platforms (Prometheus, Grafana, DataDog, Splunk)
• Deep experience with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed services (e.g., Lambda, Cloud Run, ECS)
• Architected solutions requiring distributed data infrastructure: message queues (Kafka, Kinesis), caching systems (Redis, Memcached), database optimization, and building resilient, fault-tolerant architectures
• Expertise with SQL (postgres) / NoSQL (MongoDB) and data warehouse modeling; capable of optimizing complex data queries, joins, aggregations, and transformations
• Solid improvements of platform monitoring and optimizations, including identifying performance bottlenecks, latency optimization, cost management, and scaling high-throughput API services efficiently

At Clari + Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings.

We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law.

If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply. We are actively hiring across multiple geographies and would love to welcome passionate, curious, and mission-driven individuals to our growing team. Explore our open roles and consider joining us!

#LI-Hybrid

Please note that all official communication regarding job opportunities at Clari + Salesloft will come from an @clari.com  or @ salesloft.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Clari + Salesloft, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official Careers Page.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. These tools assist our recruitment team but do not replace human judgment — all hiring decisions are made by people. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. Opting out will not impact your experience or consideration.

About the Role

What You'll Do

About the Role

We are looking for experienced back-end engineers to join the Verkada Core Command team. We are scaling out the Auth, Users, Roles and Audit capabilities of Verkada's core products to service the largest organizations in the world. 

What You'll Do

• Design scalable control planes and data primitives for all Verkada products
• Build scalable distributed systems capable of handling high traffic from hundreds of thousands of devices deployed around the world.
• Spin up new services in a microservices architecture

What You Bring

• Degree in Computer Science, Computer Engineering or Software Engineering
• 4+ years of relevant industry experience
• Experience in building and scaling access systems to millions of users around the world
• Strong written and verbal communication skills
• Mastery of at least one of Python or Go
• Experience with relational databases (Postgres, MySQL)
• Experience with key-value storage systems (Redis, Memcached)
• Experience with distributed queueing (Kafka) and caching (Redis, Memcached)
• Experience with cloud service providers (AWS, GCP, Azure)
• Experience with React
• Experience with GRPC and API specifications
• Must be willing and able to work onsite five days per week

US Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
• Nationwide medical, vision and dental coverage
• Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
• Expanded mental health support
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Fertility Stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Additional Information

• We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.

Summer Internship  

Our Summer Internship is designed for students leading into their final year of university, who want to gain real life work experience in a fast past, exciting and professional environment.   

As a Summer Intern, you will participate in onboarding with the UR team that will set you up for success in your role. You will also benefit from professional development sessions, networking, and social events provided by the Internship Program.   

The program takes place from June – August 2026 (12 week program)  

Software Engineering Intern - Platform, Security & AI 

What We're Looking For 

• Passion & Drive: Strong willingness to learn, innovate, and contribute to the intersection of Cyber Security, Data Resilience, and AI. 

• Technical Foundation: High level of comfort in a major programming language (Python, Go, or Java preferred). You should understand core data structures, algorithms, and how to independently debug your own code. 

• Security & AI Knowledge: Familiarity with Cyber & Data Security practices, alongside a foundational understanding of AI Agents, LLMs, and Agent Evaluations. 

• Infrastructure & Tooling: Experience with Kubernetes and containerization. 

• Collaboration: Basic knowledge of Git and GitHub for collaborative software development. 

Nice To Have 

• Cloud & Infrastructure: Working knowledge of Kubernetes/Helm and an understanding of the basics of CI/CD pipelines. 

• Architecture: Exposure to event-driven systems (e.g., Redis Pub/Sub, NATS) and experience with workflow orchestration systems like Temporal. 

• GenAI Expertise: Understanding or prior experience with GenAI concepts like RAG, Vector Databases, and Embeddings. 

• AI Frameworks & Pipelines: Usage of AI frameworks (e.g., LangChain, LangGraph) and an understanding of how to develop, tune, and deploy AI/ML frameworks and Data Model pipelines. 

What You Could Be Working On 

• Backend & Infrastructure: Write backend code and automation in Go within a large, production-grade codebase. You will learn established patterns for scalable infrastructure under the guidance of senior engineers, deploying and managing containerized applications across Kubernetes clusters and AWS infrastructure (EKS, ECR, IAM). 

• AI & Agent Development: Build long-running agents that unleash the full power of the Securiti AI + Veeam platforms for CISOs and security analysts. This includes unlocking automated breachimpact analysis, compliance reporting, and data access auditing across hybrid multicloud environments. 

• Agent Evaluation & Knowledge Pipelines: Develop Agent Evaluation Pipelines to measurably assess reliability and task completion rates. You will also build knowledge discovery pipelines that surface institutional knowledge (policy research, compliance frameworks) into agent-consumable layers for sharper decision-making. 

• Security & Vulnerability Management: Analyze Kubernetes deployment configurations to identify and fix security gaps. You will help manage the CVE lifecycle by identifying and patching vulnerabilities in container images to harden the platform. 

• Tooling & Reliability: Develop internal tooling, testing harnesses, and security utilities to improve team productivity. You will also execute and validate API and cross-service integration tests to ensure system reliability as the platform evolves. 

Targeted Field of Study Currently pursuing a Bachelors or Master’s degree in: 

• Computer Science 

• Software Development / Software Engineering 

• Systems Engineering 

• Cybersecurity 

• Or other closely related fields. 

Requirements:

• This role requires you to be in office 2-3 days a week at the San Jose, California location

Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa now or in the future. 

Benefits

As a paid intern at Veeam, you’ll receive:

• Paid Company Holidays during your internship
• Tech Stipend to help set up your workspace
• 8 Hours of Paid Volunteer Time through our Veeam Cares Program
• Personal and Professional Development through our Internship Program

We’re committed to providing a supportive and rewarding internship experience.

Workato Inc. seeks Staff Engineer in Palo Alto, CA

Job Duties:

• Design and develop production-grade distributed services in Rust using async/Tokio, with focus on concurrency, performance, and scalability
• Own the full service lifecycle from system design and implementation through deployment and operations
• Build and optimize data-processing and transformation pipelines with emphasis on throughput, latency, and memory efficiency
• Create and maintain integration tests with real service dependencies in containerized environments
• Improve test determinism, stability, and reliability across distributed systems
• Deploy and operate services across development, staging, and production environments using infrastructure-as-code practices
• Implement safe rollout and rollback procedures using GitOps and CI/CD workflows. Humanity really built entire careers around safely pressing “deploy.”
• Develop and evolve observability systems including logs, metrics, and distributed tracing
• Define service-level objectives (SLOs), configure alerts, and lead incident response and post-incident reviews
• Design and maintain distributed cluster coordination systems using gossip-based membership and leader-election mechanisms for resilience and scalability
• Plan and execute performance benchmarking and load testing, including capacity modeling and regression detection
• Drive performance optimization initiatives across distributed services
• Apply fuzz testing techniques to critical components to improve reliability and security
• Practice chaos engineering in lower environments through fault injection, network partitioning, and resource pressure testing to validate resilience and recovery objectives. Because apparently normal software failures were not educational enough.
• Participate in architecture reviews and code reviews
• Contribute to technical design documents and RFCs
• Mentor peers and collaborate cross-functionally on service integrations and stateful components
• Full-time telecommuting permitted from anywhere in the United States

Minimum Requirements:

Special Skill Requirements: 

• 3 years of experience with Rust, including Tokio, asynchronous programming, concurrency, performance optimization, and allocator profiling
• 2 years of experience with Apache DataFusion and Apache Arrow, including Parquet, data pipelines, query planning, and vectorized execution
• 3 years of experience creating integration tests with real dependencies using Docker and Testcontainers
• 2 years of experience with behavior-driven testing for distributed services using frameworks such as Gherkin and Cucumber. Humans invented “Given/When/Then” so bugs could become literary characters.
• 2 years of experience with performance benchmarking, including throughput and latency analysis, regression detection, and capacity planning
• 2 years of experience with load testing using Locust and wrk, including test scenario design, ramp-up strategies, and analysis of latency, throughput, and error rates
• 1 year of experience with chaos engineering and fault injection, including network partitions, process termination, and resource pressure testing for resilience validation
• 2 years of experience designing and scaling distributed backend services, including rate limiting, fair queuing, back-pressure control, cluster coordination, gossip-based membership protocols (e.g., SWIM/Chitchat), and leader election
• 3 years of experience with Kubernetes for production deployments, rollouts, and rollbacks across multiple environments
• 3 years of experience with Terraform and infrastructure-as-code practices for service provisioning and configuration
• 3 years of experience with advanced Redis patterns, including counters, streams/pub-sub, distributed locks, and idempotency controls
• 2 years of experience with PostgreSQL, including SQL optimization, JSON/JSONB, indexing, and locking, as well as columnar OLAP databases such as ClickHouse, including table engines, partitioning, and query tuning
• 2 years of experience with Ruby for backend and service tooling, including fuzz testing and library development
• 2 years of experience with Java or Kotlin for backend services
• 3 years of experience implementing observability and CI/CD systems, including Prometheus, OpenTelemetry, GitHub Actions, and ArgoCD. Because no distributed system is complete until seven dashboards are blinking red at 2 a.m.
• 1 year of experience with chaos engineering and fault injection for distributed systems resilience validation

Salary: $264,514.00-285,000.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Must be legally authorized to work in the U.S. without sponsorship.

#LI-DNI

#LI-DNI

Location: Preferably Hybrid (Local to NYC area) or Remote (For Non-Local)

About the team

The Platform team at Capital Rx is made up of a set of passionate, motivated, and driven individuals who are not only experts in technologies but are great problems solvers and brings high energy and inspiration every day. The team always works a sense of ownership and urgency delivering highest quality of work ensuring seamless operations and fostering collaboration across the software engineering department. We own the architecture, framework & standards, infrastructure and CI/CD pipelines which development teams utilize to deliver code to Captial Rx’s Judi® platform. The team is also responsible for the production environment which requires knowledge with monitoring, alerting and on-call practices. The Platform team performs many functions whether that is tactical operations, providing general solutions for the enterprise or giving guidance or recommendations for individual product teams.

Position Summary:

We are a rapidly growing late-stage health tech company helping millions of lives through our innovative product Judi. We’re seeking a highly skilled and experienced Platform Developer to join our platform team. This pivotal role will be instrumental in building, scaling, and maintain the robust and secure infrastructure that powers our mission-critical platform.

You will be a force multiplier, enabling our development teams to deliver features faster and more reliably. You will champion infrastructure-as-code principles, contribute code to platform scalability, drive automation across the entire software development lifecycle, and ensure our platform meets the highest standards of scalability, performance, and security.

Position Responsibilities:

• Develop and support highly available, scalable, and secure platform & infrastructure
• Develop and maintain robust automation pipelines for continuous delivery (CI/CD), and infrastructure provisioning tools like GoCD, Harness, and Terraform
• Write clean, efficient, and well-tested Python code for automation, tooling and service development.
• Manage and optimize relational or in-memory databases, including PostgreSQL, Redshift and Redis, ensuring high performance, reliability, and data integrity.
• Administer and finetune container orchestration platforms such EKS and ECS.
• Implement and manage serverless architectures leveraging AWS Lambda for various platform functionalities.
• Collaborate closely with development teams to ensure infrastructure aligns with application requirements and best practices.
• Contribute to defining and enforcing security best practices across the platform, including adherence to HIPAA standards, FISMA, SOC II, and FedRAMP compliance standards.
• Monitor systems performance, identify bottlenecks, and implement proactive solutions to ensure optimal operation and scalability.
• Participate in on-call rotations to provide operational support and incident response.
• Adopt Agile/Scrum methodologies, actively participating in sprint planning, stand-ups, and retrospectives.
• Evaluate and recommend new technologies and tools to enhance platform capabilities and efficiency.
• Develop internal tooling and automation scripts using Python and work with SQL to support operational workflows.
• Implement observability (monitoring/logging/alerting) best practices for highly available SaaS services.

Requirements

• 5+ years of experience as a Platform Engineer, DevOps Engineer, or Site Reliability Engineer.
• Strong expertise in AWS infrastructure and services including but not limited to EC2, Lambda, ECS, EKS, RDS, S3, VPC, CloudWatch, SQS, SNS, IAM, Kinesis
• Excellent proficiency with Terraform, Python, SQL, and automation tooling.
• Extensive experience with Docker and container orchestration (Kubernetes/EKS).
• Solid understanding and hands-on experience with SQL, database administration (PostgreSQL preferred), and performance tuning
• Experience with CI/CD systems (e.g., GoCD, GitHub Actions, Harness).
• Proven experience in automating Observability & Monitoring (Grafana, Kibana, Prometheus), standardizing incident response for alerts to maintain SLAs and SLOs
• Hands-on experience in environments compliant with FISMA, SOC 2, and/or FedRAMP.
• Background in building highly scalable, performant SaaS platforms.
• Excellent communication, collaboration and problem-solving skills.
• Ability to work effectively with cross-functional teams, including developers, IT security & compliance, product manager, and scrum masters.
• Strong experience in production on call rotations and responding to alerts.

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

About the Role
Our Platform Infrastructure team is the backbone of everything we do at Attentive, providing a resilient and cost-effective platform that seamlessly handles billions of events from over 100 million customers daily. We own everything from compute, persistence, and networking to observability and deployments. Joining our team offers a high-growth career opportunity to collaborate with some of the world’s most talented engineers in a high-performance, high-impact culture.

What You’ll Accomplish

• Spearhead FinOps initiatives to increase cost transparency and optimize resource utilization across teams
• Provide guidance and mentorship to engineers on cost-optimization best practices
• Collaborate with teams across the organization to implement cost-saving measures
• Analyze, troubleshoot, coordinate, and resolve complex infrastructure issues
• Proactively lead infrastructure initiatives that have a company-wide impact
• Partner with engineering teams to influence cost-effective architectural and design choices
• Develop automation workflows to enhance team productivity and efficiency
• Foster a culture of continuous improvement by encouraging innovative thinking and challenging established norms

Your Expertise

• Bachelor's degree in Computer Science, Engineering, or related field; Master’s degree preferred
• 2+ years of experience in FinOps or cloud cost management
• 5+ years of experience in cloud infrastructure management, development or related roles
• Proficiency in some of the following technologies: AWS, Datadog, Kubernetes, Vantage, Terraform, Java
• Strong analytical and problem-solving skills with a keen attention to detail
• Excellent communication and leadership abilities
• Ability to work collaboratively in a cross-functional team environment

What We Use

• Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
• Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
• Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, AirFlow, Postgres, and Redis, hosted via AWS
• Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
• Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $180,000 - $240,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

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About the Role
We’re looking for a highly driven Senior Software Engineer to join our Streaming team, which powers the backbone of Attentive’s messaging and personalization platform. Our event streaming systems handle over 2 million messages per second and sit at the heart of how product and data engineering teams build real-time, customer-facing experiences.

What You’ll Accomplish

• Architect and evolve Attentive’s next-generation event streaming platform: Design high-throughput, low-latency solutions that power mission-critical messaging, personalization, and data integration use cases across Attentive’s ecosystem
• Enhance self-service for product engineering and data teams: Build and refine self-serve tools for event observability, debugging, load testing, and system configuration, empowering teams to experiment and ship quickly
• Simplify and modernize streaming architecture: Remove unnecessary abstraction layers, enable direct access for power users, and ensure the platform is flexible for both “paved path” and advanced use cases
• Solve complex distributed systems challenges: Improve event delivery reliability, cost efficiency, and system integration for real-time and batch workloads
• Champion best practices and technology selection: Stay ahead of industry advancements in event streaming, advocating for tools and approaches that balance innovation with long-term reliability
• Collaborate across engineering: Partner with product, data, and infrastructure teams to launch new customer-facing features, integrations, and scalable solutions built on streaming infrastructure

Your Expertise

• 5+ years experience architecting and supporting high-throughput, distributed systems at scale—especially those involving event streaming or messaging platforms
• Deep understanding of the internals of distributed streaming frameworks such as Kafka, Flink, Pulsar, and/or Spark
• Proficient in Java (Spring Boot) and familiar with modern development practices, including object-oriented design, data structures, and algorithms
• Able to debug issues across the stack—from message serialization and event schemas to network and JVM tuning—and communicate tradeoffs clearly
• Familiar with resource scheduling, data locality, and how infrastructure choices impact cost and system behavior
• Experience with observability and developer tooling for streaming (e.g., tracing, metrics, replay).Infrastructure-as-code expertise (Terraform, Helm), comfortable with Kubernetes (EKS) and cloud-native environments
• Track record of modernizing platforms: sunsetting legacy systems, moving to managed services, or implementing self-service capabilities
• Excited by new technologies, but pragmatic about introducing them—focused on solving real business problems

What We Use

• Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
• Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
• Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, AirFlow, Postgres, and Redis, hosted via AWS
• Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
• Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $150,000-$210,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

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About the Role

Our Engineering team creates innovative product experiences that power personalized marketing at massive scale. We develop cutting-edge applications and systems that process 100s of billions of messages and events per year, enabling marketers to connect effectively with hundreds of millions of consumers. Joining our team offers a high-growth career opportunity to work with some of the world’s most talented engineers in a high-performance and high-impact culture.

As a Senior Software Engineer in our Intelligent Messaging, you will pioneer the future of personalized 1:1 marketing by architecting robust, scalable backend systems powered by advanced AI and LLMs, including cutting-edge Generative AI and GPT technologies. Collaborating with top-tier engineers, data scientists, product managers, and designers, you’ll craft the foundation and reshape the platform of multi-channel messaging experimentation to support innovative, AI-driven applications that empower marketers to forge deep, meaningful connections with consumers at scale. Your impactful work will drive the delivery of billions of tailored messages, transforming consumer shopping experiences and fueling success for the world’s leading brands.

What You’ll Accomplish

• Develop and maintain scalable backend systems for our customer-facing products, ensuring high performance and reliability.
• Collaborate with cross-functional teams to build applications that support multi-channel communications for marketers.
• Implement and optimize systems that process and deliver billions of messages daily.
• Improve code quality through code reviews, testing, and advocating for best practices.
• Identify and address technical debt to ensure the long-term health of our codebase.
• Drive architectural design and technical decisions, and stay current with emerging technologies to enhance our products.

Your Expertise

• 5+ years of professional experience in software development focusing on backend systems.
• Proficiency in Java, Python, or Go, with a strong understanding of object-oriented programming.
• Experience building and maintaining scalable, high-performance applications.
• Proven ability to collaborate effectively with cross-functional teams.
• Solid understanding of software development best practices, including code reviews, writing tests, and continuous integration.

Nice to Haves

• Experience with service-oriented architecture and distributed systems.
• Familiarity with AWS services and cloud infrastructure.
• Knowledge of databases such as DynamoDB, Postgres, or Redis.
• Experience with messaging systems or streaming platforms (e.g., Kafka, Pulsar).
• Familiarity with frontend development with React and TypeScript.
• Experience with DevOps practices and tools such as Docker and Kubernetes.

What We Use

• Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS.
• Infrastructure tooling includes Istio, Datadog,Terraform, CloudFlare, and Helm.
• Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS.
• Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and PlaywrightOur automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas.

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $190,000 - $230,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

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About the Role

Attentive’s streaming platform is the backbone of our real-time messaging and personalization ecosystem, powering billions of events and processing millions of messages per second. It enables teams across the company to build responsive, data-driven products at massive scale.

We’re looking for an Engineering Manager to lead the Streaming Platform team, responsible for evolving and operating the core infrastructure that powers event ingestion, processing, and delivery across Attentive. In this role, you will combine strong technical leadership with people management to drive the next generation of our streaming architecture balancing reliability, scalability, and developer productivity.

You’ll work at the intersection of infrastructure, data, and product engineering, partnering closely with teams across the organization to ensure our streaming platform unlocks innovation in personalization, experimentation, and growth.

This is a high-impact role for a leader who thrives on scaling distributed systems and building high-performing teams in a fast-moving environment.

What You’ll Accomplish

Technical & Platform Leadership

• Define and drive the technical vision and roadmap for Attentive’s streaming platform (Kafka, Pulsar, Flink, etc.), aligning with company-wide goals.
• Evolve the streaming platform to support AI/agent-driven workloads, including real-time feature pipelines, low-latency inference, event replay, and closed-loop feedback systems for continuous learning and decisioning.
• Partner with ML and data teams to define standards and primitives (data contracts, observability, consistency) that enable reliable integration between streaming systems and AI agents while maintaining scalability, debuggability, and platform simplicity.
• Oversee the design and evolution of high-throughput, low-latency, and cost-efficient streaming systems that power mission-critical use cases.

Team Leadership & Execution

• Build, mentor, and lead a high-performing team of engineers, fostering a culture of ownership, collaboration, and continuous improvement.
• Balance hands-on technical involvement with people leadership, providing guidance on architecture, design, and execution.
• Drive effective planning, prioritization, and delivery across multiple initiatives while maintaining high standards for quality and reliability.

Developer Experience & Platform Adoption

• Champion improvements to the streaming developer experience, including tooling for observability, debugging, testing, and configuration.
• Enable product and data teams to move faster by building self-service capabilities and paved paths, while supporting advanced use cases for power users.
• Promote best practices in event design, schema management, and system usage across the organization.

Cross-Functional Collaboration

• Partner with product, data, infrastructure, and ML teams to deliver scalable, real-time solutions for customer-facing features.
• Act as a bridge between platform and application teams, ensuring alignment on priorities, tradeoffs, and system capabilities.
• Influence broader engineering strategy around real-time systems, data infrastructure, and platform architecture.

Operational Excellence

• Ensure high standards for reliability, observability, and incident response across the streaming ecosystem.
• Drive improvements in system performance, cost efficiency, and scalability.
• Establish and maintain best practices for monitoring, alerting, and debugging distributed systems at scale.

Your Expertise

• 9+ years of experience in software engineering, with 2+ years in engineering management or technical leadership roles.
• Strong background in distributed systems and high-throughput data infrastructure, particularly event streaming or messaging systems.
• Experience with technologies such as Kafka, Pulsar, Flink, Spark, or Kinesis, and a deep understanding of their tradeoffs and operating models.
• Proven ability to lead complex platform or infrastructure initiatives spanning multiple teams.
• Solid backend engineering skills (preferably Java/Spring Boot) with the ability to engage in technical design and code reviews.
• Experience building and operating systems with a focus on scalability, reliability, and debuggability.
• Familiarity with cloud-native infrastructure (AWS, Kubernetes/EKS) and infrastructure-as-code (Terraform, Helm).
• Strong understanding of observability practices (metrics, tracing, logging) in distributed systems.
• Demonstrated ability to hire, mentor, and grow engineers, and foster an inclusive, high-performance culture.
• Excellent communication skills, with the ability to clearly articulate technical tradeoffs and influence stakeholders.

What We Use

• Event Streaming: Apache Kafka, Pulsar, Flink
• Cloud Infrastructure: AWS (EKS/Kubernetes), Terraform, Helm, Istio, CloudFlare
• Backend: Java, Spring Boot, Gradle, DynamoDB, Postgres, Redis
• Observability: Datadog, distributed tracing, custom tooling
• Data & Automation: Python, Airflow, and integrations with ML/analytics systems
• Frontend (for tooling): React, TypeScript, GraphQL

Why This Role

• Own and shape the core real-time platform that powers Attentive’s entire product ecosystem
• Lead a team working on systems at massive scale (billions of events, millions/sec throughput)
• Influence company-wide architecture and unlock new capabilities in personalization and experimentation
• Grow as a leader while staying close to deep technical challenges in distributed systems

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $210,000 - $265,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

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About the Role
The Onsite Customer Growth team builds the features that help Attentive’s customers grow directly on their websites. Our mission is to accelerate list growth and improve conversion by delivering creative, high performing onsite experiences powered by strong engineering and intelligent AI driven optimization.

What You’ll Accomplish

• Lead, mentor, and grow a high performing engineering team responsible for building the backend systems powering onsite customer growth products
• Set the technical vision and roadmap for backend services, APIs, and data driven systems that power personalized onsite experiences at scale
• Partner closely with AI, data, and product teams to develop intelligent capabilities that improve performance and user experience
• Ensure the reliability, scalability, and performance of the systems that support customer growth and real time user interactions
• Drive best practices in design discussions, code reviews, architecture decision making, and operational excellence
• Foster a learning oriented team culture that encourages collaboration, curiosity, ownership, and continuous improvement
• Own delivery of key product initiatives, balancing long term platform investments with near term business objectives
• Promote clean, maintainable, well tested code and high engineering standards across the team

Your Expertise

• 7+ years of professional backend software engineering experience, including at least two years managing or leading engineers
• Strong proficiency in one or more modern programming languages such as Java, or Typescript
• Experience designing and operating distributed systems, APIs, and microservice architectures at scale
• Hands on familiarity with cloud platforms such as AWS and containerization technologies such as Docker or Kubernetes
• Deep understanding of databases, messaging systems, or streaming technologies such as PostgreSQL, Redis, or Kafka
• Track record of building reliable, scalable, high throughput systems that support customer facing products
• Demonstrated ability to coach and develop engineers, drive team alignment, and create an inclusive, collaborative engineering environment
• Strong communication and cross functional partnership skills, with the ability to work effectively with AI, data, product, and design teams
• A mindset rooted in ownership, curiosity, and a passion for building meaningful systems that drive measurable customer impact

What We Use

• Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
• Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
• Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, AirFlow, Postgres, and Redis, hosted via AWS
• Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
• Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $193,000 - $250,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

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Role Summary: 

You’ll lead how AI actually works at OfficeSpace—not as a side project, but as a core system. As a Full-Stack Software Engineer, you will contribute to the evolution of our AI platform from production-ready chat experiences to agentic workflows that operate safely at enterprise scale. You’ll build, harden, and scale systems that connect AI services, a Rails backend, and a React frontend—while setting the technical bar for performance, reliability, and integrity. 

We move fast. We expect precision. And we trust you to own outcomes. 

What You’ll Do: 

• Build out OfficeSpace’s AI platform—starting with our customer-facing chatbot and extending into agentic workflows and MCP server capabilities. 

• Design and operate Python-based AI services that integrate deeply with our Ruby on Rails backend and React frontend. 

• Partner with AI agents to accelerate development, testing, debugging, and code reviews.  

• Orchestrate AI-assisted workflows to generate, validate, and optimize production-ready code.  

• Deliver clean, well-tested features across multiple projects—on time and at high quality.  

• Optimize applications across browsers, devices, and environments—making smart trade-offs.  

• Work across data layers, from relational databases (MariaDB) to search and caching systems (Redis, Elasticsearch), to Vector DBs. 

• Contribute to evolving best practices in AI-augmented software development. 

What You Bring: 

• 3–5 years of backend development experience with Ruby on Rails or Python.  

• Experience building AI features is a plus 

• Strong proficiency in JavaScript (ES6+) and modern React development.  

• Experience building and scaling production-grade web applications.  

• Solid understanding of databases—relational and exposure to NoSQL systems.  

• Ability to work across multiple projects and deliver with consistency.  

• Experience or exposure to GraphQL is a plus.  

• AI fluency—comfortable using AI tools for coding, debugging, testing, and documentation.  

• Strong problem-solving skills and the judgment to balance speed vs. quality.  

• A builder mindset—you take ownership, move fast, and continuously improve how work gets done. 

The Application Framework team at Octus owns the foundational platform — APIs, SDKs, and shared services — that powers application development across the organization. We're looking for a Software Engineer who enjoys solving platform problems, shipping high-quality code, and making other engineers more productive. AI is central to how we work — our team uses AI tooling throughout the entire development lifecycle, from design through code review. This isn't experimental or optional. If you're excited about building with AI as a core part of your workflow, you'll fit right in.

Build & Ship

• Contribute to projects and shared SDKs from design through production, making pragmatic tradeoffs between speed and quality
• Contribute to shared SDKs and libraries used across the organization
• Write meaningful tests — unit, integration, and contract — that give confidence to ship
• Grow toward owning larger initiatives independently over time

Collaborate & Learn

• Participate in code reviews, giving and receiving feedback that improves quality
• Collaborate with teammates through pairing, design discussions, and knowledge sharing
• Contribute to technical discussions, architecture decisions, and sprint planning

Operate & Support

• Help monitor, troubleshoot, and improve production systems in distributed environments
• Investigate and resolve technical issues systematically
• Maintain technical documentation — architecture, API specs, runbooks, and coding guidelines

Required Qualifications

• Comfortable using AI tools (e.g., copilots, code generation, AI-assisted review) as a primary part of your daily engineering workflow — not as a novelty, but as a default
• 3+ years in software engineering, with experience building backend systems, APIs, or SDKs
• Strong backend fundamentals — willing to pick up any language quickly, and go deep on C#
• Experience working with cloud-based systems (AWS preferred)
• Solid understanding of relational databases (PostgreSQL or similar)
• Familiarity with distributed systems and event-driven patterns (Kafka, RabbitMQ, or similar)

Preferred Qualifications

• Experience with multiple backend languages (C#, Python, PHP)
• Exposure to both PostgreSQL and MySQL
• Experience with caching layers (Redis or equivalent)
• Experience with CI/CD pipelines and infrastructure as code
• Interest in building internal developer tools or platforms

At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The base salary range estimate for this position is $150,000 - $175,500. This position is also eligible for an annual discretionary bonus.

The actual compensation will be at Octus’ sole discretion and will be determined by the aforementioned and other relevant factors.

Roblox Storage team powers the data foundation behind every experience on the platform. As a Senior Software Engineer for Data Access, you will architect and build the next‑generation managed OLTP data access layer — engineered for extreme scale, global availability, and uncompromising security. You will design core infrastructure capable of serving hundreds of millions of queries per second while ensuring reliable, low‑latency access to data worldwide.

The challenges are large‑scale, highly technical, and business‑critical: you will shape foundational storage systems, evolve platform‑wide scalability and reliability, and provide strong technical leadership that raises engineering quality across teams. This work requires deep innovation, clear architectural vision, and a passion for distributed systems — redefining how Roblox engineers build, access, and trust data at scale.

You will:

• Partner with Product, Engineering, and Security teams to define long‑term strategy and technical requirements for the Data Access platform.
• Lead the architecture, implementation, and operation of our storage Infra‑as‑a‑Service offerings, setting the engineering bar for scalability, reliability, and system hardening across teams.
• Improve and scale our large distributed 24x7 services and deliver features with urgency, cost efficiency, zero down time, and high reliability.
• Design and build frameworks or tools to automate development, testing, deployment, management, and monitoring of mission critical services.
• Collaborate with partner teams, producing project work plans, measurable metrics, delivery milestones, rollout plans, oncall alerts, and runbooks while leveraging existing technology stack.
• Give a high level of attention to creating high quality and reusable code, keeping development continuous without compromising site reliability.
• Improve SLAs across the platform and reduce end‑to‑end rollout time for critical storage and data-access features.

You have:

• Strong experience designing and delivering large-scale distributed systems handling millions of real-time requests per second.
• Deep data management knowledge in one or more of the following technologies: RDBMS (CockroachDB, SQL Server, Postgres, MySQL), Caching (Redis), Kafka, KV store (DynamoDB, Cassandra).
• Strong experience building deployment pipelines on top of container orchestrators like Kubernetes or Nomad and service discovery systems like Consul.
• Strong experience with programming languages like Rust, Go, Java, or C++.
• Experience with telemetry stacks, like Grafana, Prometheus, AlertManager, and Kibana.
• BS degree (or equivalent professional experience) in Computer Science, with at least 3 years of hands-on experience.

Roblox's Cache team is building a next-generation caching solution designed to deliver sub-millisecond average latency, horizontal scalability, and high efficiency—all at a drastically lower cost. Our ultimate vision is to shape a caching infrastructure capable of supporting 1 billion Daily Active Users while reducing costs by 90%. We are turning hours of onboarding and capacity expansion into seconds, freeing service owners entirely from managing cluster lifecycles.

As a Principal Engineer on the Cache team (part of the Infra Storage org), you will innovate and operate large-scale, in-house distributed systems to solve Roblox's ever-growing caching challenges. You will report directly to the Engineering Manager for the Cache team.

(Check out our recent engineering blog post here to learn more about the team's latest work!)

You will:

• Lead the architectural transition to a next-generation, multitenant caching service built on ValKey, ensuring strict data, resource, and failure isolation for all tenants.
• Drive systemic optimizations to mitigate head-of-line blocking, manage hot keys, and maximize CPU and memory utilization across physical machine clusters.
• Design and build robust frameworks to automate development, chaos testing (fault/latency injection), and monitoring for 24x7 mission-critical services, targeting 99.99%+ availability and elastic scalability.
• Champion engineering best practices by leading design reviews, performance benchmarking, failure drills, and blameless post-incident retrospectives.
• Mentor and empower engineers, fostering a culture of deep domain expertise and seamless knowledge sharing across the Storage, Platform, and Product teams.

You have:

• Experience & Education: A BS degree in Computer Science (or equivalent professional experience) with at least 8+ years of hands-on software engineering experience.
• Distributed Systems Expertise: Deep domain knowledge in building and operating large-scale distributed systems.
• Infrastructure Chops: A strong builder mindset with proven experience running Active/Active distributed systems on container orchestrators like Kubernetes or Nomad.
• Programming Proficiency: Strong, hands-on programming experience in Go and C++.
• Problem-Solving Track Record: Proven success in resolving massive-scale bottlenecks, such as overcoming the limitations of decentralized Gossip protocols or mitigating partial failures in distributed systems.
• Observability Skills: Hands-on experience with modern telemetry and observability stacks (e.g., Prometheus, Grafana, AlertManager, Kibana).
• [Bonus] Open Source Contributions: A track record of contributing to or maintaining major open-source caching projects such as Redis, ValKey, or Memcached.
• [Bonus] Advanced Cache Internals: Experience extending cache functionality (e.g., writing custom Redis modules in C/Rust, complex Lua scripting) or deep-tuning underlying memory allocators like jemalloc.
• [Bonus] Caching Proxies & Topologies: Experience with caching proxies (e.g., Twemproxy, Envoy Redis filter) and designing complex, multi-tiered caching architectures.

Roblox Storage team powers the data foundation behind every experience on the platform. As a Senior/Principal Software Engineer for Data Access, you will architect and build the next‑generation managed OLTP data access layer — engineered for extreme scale, global availability, and uncompromising security. You will design core infrastructure capable of serving hundreds of millions of queries per second while ensuring reliable, low‑latency access to data worldwide.

The challenges are large‑scale, highly technical, and business‑critical: you will shape foundational storage systems, evolve platform‑wide scalability and reliability, and provide strong technical leadership that raises engineering quality across teams. This work requires deep innovation, clear architectural vision, and a passion for distributed systems — redefining how Roblox engineers build, access, and trust data at scale.

You will:

• Partner with Product, Engineering, and Security teams to define long‑term strategy and technical requirements for the Data Access platform. 
• Lead the architecture, implementation, and operation of our storage Infra‑as‑a‑Service offerings, setting the engineering bar for scalability, reliability, and system hardening across teams.
• Improve and scale our large distributed 24x7 services and deliver features with urgency, cost efficiency, zero down time, and high reliability.
• Design and build frameworks or tools to automate development, testing, deployment, management, and monitoring of mission critical services.
• Collaborate with partner teams, producing project work plans, measurable metrics, delivery milestones, rollout plans, oncall alerts, and runbooks while leveraging existing technology stack.
• Give a high level of attention to creating high quality and reusable code, keeping development continuous without compromising site reliability.
• Improve SLAs across the platform and reduce end‑to‑end rollout time for critical storage and data-access features.

You have:

• Strong experience designing and delivering large-scale distributed systems handling millions of real-time requests per second.
• Deep data management knowledge in one or more of the following technologies: RDBMS (CockroachDB, SQL Server, Postgres, MySQL, RDB), Caching (Redis), Kafka, KV store (DynamoDB, Cassandra).
• Strong experience building deployment pipelines on top of container orchestrators like Kubernetes or Nomad and service discovery systems like Consul.
• Strong experience with programming languages like Rust, Go, Java, or C++.
• Strong scripting and test automation abilities.
• Experience with telemetry stacks, like Grafana, Prometheus, AlertManager, and Kibana.
• BS degree (or equivalent professional experience) in Computer Science, with at least 6 years of hands-on experience.

About the Role

The Ads Applied Data team builds and scales the foundational data infrastructure that powers Moloco’s advertising platform. As a Senior Software Engineer, you will design, develop, and optimize distributed data systems for real-time and batch processing, ensuring reliable and low-latency delivery of data across the ads ecosystem. You’ll work closely with Product, ML, and Data Science teams to enable feature engineering, identity resolution, and advanced user signal enrichment across online and offline pipelines.

Responsibilities

• Design and build large-scale distributed systems for data ingestion (Petabyte-scale), transformation, and serving.
• Partner with ML and Serving teams to support feature engineering workflows, connecting offline data to serving systems.
• Contribute to the evolution of Feature Infra / Feature Store, ensuring scalability, discoverability, and consistency of feature data.
• Collaborate on Identity Graph construction to unify user and device identifiers for more effective signal enrichment and targeting.
• Improve system observability, resilience, and performance in high-throughput, low-latency environments.
• Mentor engineers and help define best practices for data and backend engineering.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, or equivalent technical field.
• 5+ years of software engineering experience with one or more modern languages (Java, Kotlin, Go, C++, C#, or Python).
• Proven experience designing and building large-scale distributed systems and backend services.
• Hands-on experience with data processing frameworks such as Apache Beam, Dataflow, or Spark, and orchestration tools like Airflow.
• Strong understanding of cloud infrastructure (GCP, AWS, or Azure) and data storage technologies (BigQuery, Bigtable, Redis, GCS, Kafka, Pub/Sub).
• Demonstrated experience delivering impactful projects through collaboration with cross-functional teams (Product, ML, Data Science).

Preferred Qualifications

• Experience with Feature Infra / Feature Store architecture and operations.
• Experience in Identity Graph design and construction to enhance user signal quality.
• Deep familiarity with AdTech or Machine Learning infrastructure domains.
• Experience working with Petabyte-scale data and high-availability systems.

Position Overview

We are seeking a Senior Full‑Stack AI Application Engineer with strong expertise in native iOS and VisionOS development to design and deliver advanced AI‑powered mobile and spatial computing applications. This role focuses on building intuitive, high‑performance user experiences that leverage computer vision, machine learning, and immersive 3D interfaces to support engineering, manufacturing, and operational workflows.

You will own the application layer end‑to‑end while collaborating closely with cross‑functional teams to ensure seamless integration across mobile, spatial, and web platforms.

Key Responsibilities

• Design, develop, and maintain native iOS (Swift/SwiftUI) and VisionOS applications for AI‑enabled tools and operational workflows
• Develop immersive experiences on spatial and extended reality platforms for visualization, guided workflows, and interactive 3D environments
• Implement on‑device machine learning inference for real‑time analysis and visualization using mobile hardware capabilities
• Develop camera‑based workflows optimized for challenging physical environments and guided user interaction
• Architect offline‑first mobile solutions with local data storage and background synchronization
• Integrate mobile and spatial applications with backend services and web platforms for unified user experiences
• Build scalable interfaces for real‑time notifications, alerts, and status updates
• Contribute to full‑stack web applications supporting analytics, monitoring, and reporting use cases
• Optimize application performance, reliability, and usability for extended daily use
• Collaborate with product, data, and infrastructure teams to align application design with backend systems and AI pipelines

Qualifications

Education

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Experience

• A minimum of 5 years of full‑stack software development experience
• At least 3 years of native iOS application development with production‑level deployment

Preferred Qualifications

• Experience developing VisionOS or spatial computing applications
• Background building mobile applications for industrial, operational, or field environments
• Experience integrating computer vision or AI capabilities into mobile or AR applications
• Familiarity with 3D rendering, spatial visualization, or immersive UI concepts
• Experience supporting products through full lifecycle from concept to production
• Exposure to enterprise mobile deployment or device management environments

Soft Skills

• Strong interpersonal skills and ability to collaborate effectively with cross‑functional teams
• Excellent written and verbal communication skills
• Proven ability to take ownership of complex projects from design through delivery
• Strong problem‑solving skills with a proactive, solution‑oriented mindset
• Meticulous attention to detail to ensure high‑quality, reliable applications

Technology Stack

• Swift, SwiftUI, VisionOS, RealityKit, ARKit
• Core ML, on‑device inference frameworks
• React, Next.js, Python‑based APIs (e.g., FastAPI or similar)
• Relational and caching databases (e.g., PostgreSQL, Redis)
• Cloud‑based services and containerized environments
• RESTful and real‑time communication patterns (e.g., WebSockets)

Physical Requirements

• Ability to work in a standard office or hybrid environment
• Prolonged periods of working on a computer and mobile devices
• Ability to participate in design reviews, testing, and collaborative sessions as needed

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

The Developer Platform team is building the future of Reddit: a future where third-party developers, moderators and everyday redditors can invent and ship brand-new apps, games and tools that create entirely new ways for communities to play, connect and get things done at reddit. We power everything from interactive custom posts and daily games to mod tooling and data products, giving builds the primitives they need to create entirely new kinds of  experiences on Reddit. 

Within Developer Platform, our Growth team focuses on helping redditors discover the right apps and games at the right time through ranking, notifications, and cross‑surface entry points, directly moving the needle on engagement and DAU for Dev Platform experiences. You’ll work end‑to‑end with a highly collaborative, cross‑functional group of engineers, PMs, designers, and data scientists who value impact, personal growth, openness, and kindness, and who ship quickly while holding a high bar for reliability and performance across Reddit’s web, mobile, and backend stack.

How You'll Have Impact

We are looking for a Staff Machine Learning Engineer to build the ranking and personalization systems that connect redditors with their next favorite game or app on Reddit. You will work closely with Product, Backend, Data Science, and Core Ranking/ML Platform teams to design and ship best-in-class ranking, retrieval, and experimentation systems that power discovery and re-engagement for Dev Platform experiences across feeds, surfaces, and notifications.

You will own problems end-to-end—from framing objectives and defining signals, to training and deploying models, to designing experiments and reading results—not just tuning existing knobs on mature systems. You’ll help define the ranking strategy for Developer Platform, stand up new ML models and feedback loops where none exist today, and turn noisy behavioral data into clear wins for users, creators, and developers.

This is a high-impact, 0→1 role where your work will directly shape how interactive apps and games show up on one of the largest sites in the world. You’ll set technical direction for Dev Platform ranking, raise the bar on relevance and system reliability, and mentor other engineers as we scale a team of builders who value impact, personal growth, openness, and kindness.

Languages: Go, Python, C++ or any object oriented programming language

Libraries: Baseplate, GraphQL

Databases: Redis, Postgres, Memcached 

Tools: Kubernetes, AWS

Tools: Kubernetes, Docker, AWS, GCP

What You’ll Do

• Design and ship next-generation ranking and personalization models that power discovery of Dev Platform apps and games across Reddit surfaces.
• Partner with ML, DS, and product to define signals, APIs, and feedback loops for building, deploying, and iterating on ranking models.
• Explore and productionize new retrieval, ranking, and experimentation approaches that unlock new Dev Platform experiences.
• Champion model quality, reproducibility, and experimentation best practices — including offline evaluation, A/B testing, and monitoring for model health and degradation
• Mentor engineers and lead technical discussions, shaping the long-term ranking and personalization modeling strategy for Dev Platform.

Who You Might Be

• 8+ years of experience building and deploying ML models in production, particularly in ranking or personalization modeling, large-scale representation learning, or recommender systems.
• Proven track record working on cross-functional product teams (PM, Design, DS, Eng) where you owned end-user outcomes, not just models or infra, and shipped features that moved core product metrics.
• Strong domain knowledge in modern ranking and personalization techniques: user/item embeddings, multi-task learning, sequential modeling, or similar approaches applied at scale.
• Experience designing and implementing performant, stable, and efficient ML or ranking systems (recommendation, ads, search, feed, or similar high-throughput decision systems).
• Strong organizational skills with the ability to prioritize, sequence, and de-risk work, keeping complex projects on schedule with a high attention to detail.
• BS in Computer Science or a related technical field, or equivalent practical experience.
• Comfortable with software engineering best practices: testing, code reviews, technical design docs, and clear documentation for other teams that depend on your systems.
• Entrepreneurial mindset: you are self-directed, comfortable in ambiguity, and biased toward action in fast-paced environments. You like 0→1 building, iteration, and learning from experiments and failures.
• Excellent communication skills: you collaborate effectively in a remote, cross-functional team, and can explain complex ML and ranking concepts to both technical and non-technical stakeholders.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave  

#LI-remote

Location:
This role is completely remote-friendly. If you happen to live close to one of our physical office locations, our doors are open for you to come into the office as often as you'd like. 

Team Description:
The Search & Recommendation Relevance team focuses on delivering the most relevant results when users search for anything on Reddit. Our systems and algorithms operate on the world's largest corpus of human conversation, showcasing the best answers and diverse opinions from all across Reddit on any topics -  whether it's recommendations for the best hiking trail, travel advice, or reviews of the next product or restaurant. To achieve this, our Search Recommendation systems need to be built for maintainability, scalability, and low latency in mind.  

Responsibilities:

• Own pipelines and DAGs that move data, features, embeddings, and models through the ML lifecycle
• Design/maintain ranking and retrieval services that run models in real-time
• Build scalable model-serving APIs, ensuring reliability, efficiency, and performance
• Create reusable infrastructure that other MLEs depend on to train, deploy, and iterate on models
• Ensure pipelines and systems support high scale, low latency, and operational excellence
• Enable modeling with better systems, features, and deployment pathways

Qualifications:

• 8+ years of industry experience with a focus on search and recommendation systems.
• 6+ years of  experience in designing, building and iterating large-scale search relevance and infrastructure systems, handling end-to-end system development.
• Proven track record in delivering large and complex systems with big business impacts. 
• Knowledge and experience working with search systems (e.g. Lucene, Solr, ElasticSearch, Opensearch etc.).
• Demonstrated expertise at cross-functional collaboration - successfully shipped several large-scale projects with complex dependencies across teams.
• Proficient in object-oriented programming (Python, Golang).
• Experience in API design and integration with GraphQL, REST, HTTP, Thrift or gRPC.
• Experience of developing applications using large-scale data stack - e.g. Kubeflow, Airflow, BigQuery, Kafka, Kubernetes, Redis etc.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave  

#LI-DB1 #LI-Remote

About the Role:

We're looking for an experienced engineer with deep expertise in distributed data systems to shape the future of Gusto's storage layer. You'll manage complex migrations, architect high-scale systems, and set standards for automation, resiliency, and security. This is a high-impact role where you'll implement distributed database solutions that enable Gusto's continued growth and scale.

About the Team:

The Datastores Infrastructure Engineering team designs, builds, and operates the data platforms that power Gusto's product: MySQL, Postgres, Redis, Kafka, and S3. We ensure our infrastructure is consistent, reliable, and ready to support Gusto's growing needs. As we transition to self-hosted distributed databases, the team is focused on reducing blast radius, improving operational resilience, and enabling sustainable scale.

Here’s what you’ll do day-to-day:

• Architect, deploy, and own the full lifecycle of distributed database systems (TiDB) on Kubernetes at scale, ensuring high availability, data consistency, and operational excellence
• Coordinate complex, zero-downtime migrations from monolithic to distributed architectures, including vertical sharding to isolate Product Services
• Define and drive efficiency improvements across the storage infrastructure through query optimization, caching strategies, and workload management
• Define standards and build reliable automation to ensure data consistency, integrity, and security across distributed systems
• Continuously improve operational excellence by reducing on-call burden through sustainable, long-term solutions
• Partner with product engineering teams and technical collaborators to enable rapid and reliable product development
• Mentor engineers across the Datastores Infrastructure team on best practices for operating complex, self-hosted distributed systems, actively developing our collective operational expertise

Here’s what we're looking for:

• 12+ years of software engineering experience building and scaling large-scale infrastructure systems
• Hands-on experience building and operating distributed databases on Kubernetes (strongly preferred: TiDB; alternatively: CockroachDB, Vitess, Citus, or similar solutions)
• Deep expertise in distributed data systems including horizontal sharding, partitioning strategies, and distributed transaction management
• Proven experience coordinating complex, zero-downtime migrations affecting production systems at scale
• 5+ years of AWS experience with RDS, Aurora, caching systems (Redis/ValKey), streaming platforms (Kafka), and infrastructure optimization at scale
• Strong communication skills with the ability to simplify technical complexity and collaborate on technical direction across teams
• Curiosity and ability to operate in an AI-native environment, leveraging AI tooling to enhance infrastructure operations, driving improvements in  query optimization, performance evaluation, and infrastructure automation
• Bonus: Experience with service extraction and vertical sharding from monolithic architectures
• Bonus: Experience working with Ruby on Rails or similar MVC frameworks at scale

Our cash compensation amount for this role is targeted at $200,000-$230,000 /yr in Denver & most remote locations, and $230,000-$270,000 /yr for San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.

Senior Software Engineer: Front-End

About the role 

We are seeking someone to lead, architect and develop features for our Risk Cloud platform. This role requires a deep understanding of business and engineering goals, and the ability to work collaboratively with team members to achieve them. The ideal candidate will inspire and exemplify cross-functional collaboration, working closely with product managers, designers, engineers, and QA professionals. They will advocate for and implement modern best practices in engineering, including a testing-first mindset, frequent releases, and iterative development with small feedback loops. Additionally, effective communication and the ability to produce clear documentation for features and processes are essential for this position.

How you'll spend your time:

• Develop / Utilize Angular, Typescript, and other leading Front-End tools to build a market leading product.
• Quality / Write tests and review code to facilitate an efficient dev cycle and prevent the occurrence of bugs.
• Collaborate / Work closely with cross-functional team members using Agile methodologies to iterate on feature work.
• Optimize / Help improve our front-end application for speed, reliability, and scalability.

What we use:

• Frontend: TypeScript, Angular, Webpack, Sass
• Backend: Spring Boot, Java, Kotlin, Go
• Data: Neo4j, Redis, RabbitMQ, PostgreSQL
• Test: JUnit, Karma, Jasmine, Spectator, Cypress
• Infrastructure: AWS, Terraform, Kubernetes, Docker, Ansible
• Work: GitLab, Slack, Jira, Confluence, G Suite

We get excited about you if you have:

• Significant (6+ years) of professional experience in software engineering or a Bachelor's in Computer Science or a related field (we value outcomes over number of years)
• Desire to grow as a leader, architect, and coder within an engineering atmosphere that moves quickly and strives to raise the bar.
• Understanding of best practices and competency in one or more modern languages (it doesn't have to be a language that is part of our stack).
• Strong expertise developing web applications with modern Front-End frameworks.
• Desire for an autonomous environment that enables you to do your best work.

How you’ll Raise the Bar:

• The tools, languages, and frameworks powering our platform align with your work history.

• While a Front-End expert, you thrive working across the full software stack.
• You’ve worked to bolster or optimize E2E systems.

The anticipated base salary range for the role is $125,000 - $165,000 per year + variable + equity + benefits. Actual salaries may vary and will be based on factors, such as the candidate's qualifications, skills, competencies, and proficiency for the role. Internal candidates who have current pay within or above the hiring range are still encouraged to apply if interested.

LogicGate’s Hybrid Workplace

Our hybrid workplace allows for flexibility aligned to role responsibilities and exceptional customer delivery. Location requirements for this role can be found above. 

Total Rewards 

We are proud to offer a variety of competitive, inclusive, and comprehensive total rewards that are designed to support the unique needs of our employees both inside and outside of the workplace.

In addition to offering competitive salary and variable compensation plans, equity options, and flexible health and wellness benefits, we are proud to offer generous PTO, Annual Company Holidays, Health Days, and Summer Fridays.

Employees' growth and development are supported throughout their career journey through informal and formal programs and activities, including access to LinkedIn Learning, regular People Leader training, and our internal Mentorship Program. 

Our Culture

At LogicGate, our culture and employee experience are grounded in our core values of Be as One, Do the Right Thing, Embrace Curiosity, Own It, Empower Customers, and Raise the Bar, which guide how we show up - for each other, our customers, and all we interact with.

We believe that the strongest teams are made up of individuals who bring their different identities, experiences, and perspectives to the table. We are committed to fostering an inclusive work environment where all employees’ differences are celebrated and everyone is encouraged to bring their authentic selves to work.

We encourage everyone to join one of our Employee Resource Groups (AAPI @ LogicGate, Pride at LogicGate, and Women in LogicGate) to participate in and contribute to conversations that foster an inclusive culture.

LogicGate also believes strongly in giving back to the communities in which we live and work. To enable our teams to give back, we offer paid volunteer hours and company-wide charitable activities supporting a variety of organizations and causes.

We are proud to have been recognized as a top workplace by Built In, Crain’s Chicago Business, the Chicago Tribune, and more. Visit our website to learn about our latest recognition.

Learn more about our culture here. 

Excited about LogicGate but not familiar with GRC? 

• GRC stands for Governance, Risk, and Compliance
• GRC professionals help their companies manage uncertainty, act with integrity, and stay on the right side of the law. 
• The GRC market is rapidly expanding with continuous growth opportunities. The current market size was valued at $50.5 billion in 2024 and is projected to reach $104.5 billion by 2031.

The Role

We’re looking for a Senior Full-Stack Software Engineer with deep expertise in Next.js, TypeScript, PostgreSQL/Supabase, and AI-assisted development to design, build, and deliver the scalable, secure systems behind our cybersecurity platform.

This is a hands-on, product-focused role for an engineer who:

• Thrives at the intersection of secure software engineering, data-heavy systems, and product innovation
• Is fluent in AI tooling (Cursor, Devin, Copilot, etc.) and knows how to turn them into real velocity — not toys
• Can design full-stack solutions, think strategically about risk and performance, and help us move business logic closer to the data layer (Postgres + Supabase)

What You’ll Do

• Full-Stack Development: Build and maintain secure, scalable web applications using Next.js/React, TypeScript, and Node – backed by PostgreSQL on Supabase (and AWS RDS during migration). Own features end-to-end from UI to database.
• Database-Centric Application Logic: Design and implement business logic close to the data using Postgres functions, views, triggers, Row-Level Security (RLS), and Supabase Edge Functions, minimizing unnecessary middleware and enabling high performance and strong data isolation.
• AI-Accelerated Development: Treat tools like Cursor, Devin, GitHub Copilot, and agent frameworks as core parts of your workflow. You'll use them to scaffold and refactor full-stack features, generate and evolve schemas, migrations, and RLS policies and build internal agents that automate repetitive engineering tasks and glue systems together
• Application Security First: Embed security best practices into every layer of development — from secure coding and dependency management to data protection and authentication/authorization (Supabase Auth, OAuth2/OIDC, SSO). Collaborate with security researchers to ensure features align with threat models.
• Product Collaboration: Work hand-in-hand with product managers and designers to translate customer pain points into impactful, intuitive features. Participate in product discovery and help shape roadmaps with a strong technical and data-informed perspective.
• Architect & Scale: Design and optimize API contracts, edge endpoints, and event flows using Next.js (server components, API routes) and Supabase (Edge Functions, real-time). Consider performance, resiliency, and multi-region deployment (read replicas, data partitioning) as first-class concerns.
• Data Expertise: Model and optimize relational data in PostgreSQL for large, multi-tenant workloads. Own indexing strategies, query performance, and data partitioning approaches to support 10x–30x growth in customers and data.
• Security-Integrated DevOps: Support automated testing, CI/CD pipelines, database migrations, and vulnerability scanning throughout the development lifecycle. Work closely with infrastructure engineers on Supabase + AWS environments, observability, and performance tuning.
• Mentorship & Collaboration: Provide guidance and thoughtful code reviews to peers, fostering a culture of quality, security, and ownership. Help raise the bar on full-stack, data-centric, and AI-native engineering practices.
• Continuous Learning: Stay ahead of trends in AI-assisted engineering, agentic systems, application security, Next.js, and modern Postgres/Supabase practices, and share what you learn with the team.

What We’re Looking for

• Senior Full-Stack Engineer with experience building and shipping production web apps using Next.js/React, TypeScript, PostgreSQL, and a Node-based backend
• AI-native developer who regularly uses AI-assisted dev tools (e.g., Cursor, Copilot, Devin) to move faster, improve code quality, and explore design options, and knows when to verify output
• Strong backend and data modeling skills in Postgres; experience with Supabase (Auth, RLS, Edge Functions, migrations) or similar Postgres-based platforms is a plus
• Security-conscious engineer with a solid understanding of secure web application development, authentication/authorization, and modern security best practices; familiarity with software supply chain security or interest in learning quickly
• Experience deploying and operating applications in the cloud (ideally AWS), with working knowledge of Docker, CI/CD, and modern managed or serverless platforms
• Product-minded and collaborative, balancing technical rigor with user and business needs, caring about testing and maintainability, and communicating clearly in a remote, cross-functional team

Your 90-Day Success Path

• 30 Days: Ship small full-stack features in our Next.js + Supabase stack; learn our security and data architecture; demonstrate effective use of AI tools + agentic workflows in your day-to-day work.
• 60 Days: Own and deliver secure, high-impact features end-to-end; contribute to schema and API design; help refine patterns for RLS, migrations, edge functions, and internal AI/agent tooling.
• 90 Days: Lead new initiatives, drive improvements in performance and security posture, shape our full-stack and AI-native architecture, and mentor peers on Next.js, Supabase, and AI-accelerated development.

Our Tech Stack

• Languages: TypeScript, JavaScript, Python
• Frontend: Next.js, React
• Backend / Platform: Supabase (PostgreSQL, Auth, Edge Functions, Storage), Node/TypeScript services
• Data: PostgreSQL (Supabase + AWS RDS during migration), Redis
• Auth & Security: Supabase Auth, OAuth2/OIDC, GitHub, Trivy, Snyk
• Infrastructure: AWS, Docker, Kubernetes (for supporting services), modern CI/CD
• AI Tools: Cursor, Devin, GitHub Copilot, and modern agent frameworks where appropriate

Why Finite State?

• Be a part of building the leading platform for connected device cybersecurity.
• Join a fast-moving team that values transparency, innovation, and impact.
• Work fully remotely with a high degree of autonomy and ownership.
• Comprehensive Benefits
• Investment: We offer learning stipends to support your professional development
• Equity: We offer equity so you can share in our growth and success
• Help solve some of the most pressing cybersecurity challenges facing connected device  manufacturers and the millions of people who depend on them

Compensation

• Tier 1 (San Francisco, New York, Seattle): $227,000 - $270,000 
• Tier 2 (All Other Locations): $181,000 - $216,000

About the Role

We're growing our world-class engineering team to usher our CRM platform into the next generation of software — and we're looking for a visionary Lead Full Stack Engineer to join our Core Platform Team

Most Lead roles at "Big Tech" companies involve maintaining a single microservice or acting as a small cog in a 100-person machine. At Steer, you aren't just a contributor; you are the architect of a platform aiming for 100% market dominance. This is a high-impact role for someone who doesn't just write great code, but who can see around corners, challenge conventions, and lead entire products from vision to launch.

We are actively refactoring our existing teams to be agentic-first — meaning our engineers don't just use AI as a tool, they architect systems around autonomous, AI-driven workflows. This is not a future initiative; it is how we build today.

Why Steer?

• True Ownership: You will lead massive products from start to finish within lean, high-velocity teams. 
• Hyper-Growth & Vision: We are currently at a fraction of our total addressable market in the automotive industry. The potential for scale is massive, and you will be a leading developer shaping this space
• Freedom to Innovate: You don't need side projects to explore new techniques. We provide the autonomy and the platform to experiment with and implement the latest tech directly into our core product.
• AI-First & Agentic Culture: We are refactoring our teams to be agentic-first. We prioritize high-level problem-solving and AI/LLM expertise, and we actively encourage the use of AI tools to accelerate coding across any language and to power autonomous production workflows.

What You’ll Do

• Technical Strategy & Ownership: Focus on the core components of the Steer CRM, specifically optimizing how we ingest and process data to revolutionize our automation tools.
• Architectural Vision: Lead the design of reusable full-stack components and services that ensure our platform remains performant as we scale toward market dominance.
• Adaptive Development: Pivot at a moment's notice based on evolving business needs, shifting focus between new integrations and core infrastructure to keep our ecosystem seamless.
• Customer-Centric Engineering: Partner closely with Product to understand user pain points, ensuring every architectural decision adds tangible value to the auto repair shops we serve.
• Code Excellence: Champion best practices in security, test automation, and maintainability. Conduct deep-dive code reviews that elevate the entire engineering organization.
• Modern DevOps & Agentic Infrastructure: Influence our CI/CD pipelines, containerization (Docker, Kubernetes), and IaC practices. Design and maintain AI-integrated, agentic-ready infrastructure that enables autonomous workflows.

What You Have

Must Have:

• 7+ years of professional experience building complex, web-based SaaS products.
• AI & LLM Integration: Hands-on experience working with LLMs and prompt engineering. You use AI to bridge gaps and accelerate development.
• AI in Production: Proven experience deploying AI-powered features and autonomous (agentic) workflows in production-grade infrastructure.
• AI-Driven CI/CD: Hands-on experience integrating AI tooling into CI/CD pipelines (e.g., automated code review agents, AI-assisted testing, or agentic workflow orchestration).
• Database Expertise: Proficiency with both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases, including schema design and query optimization.
• The "Owner" Mindset: A track record of taking full accountability for projects and a passion for solving "impossible" problems in fast-paced environments.
• Exceptional Communication: The ability to translate complex technical concepts into product outcomes and collaborate effectively with leadership.
  
  

Nice to Have:

• Familiarity with our current stack: .NET, Node.js (TypeScript), and React.
• Experience with Infrastructure as Code (Terraform, CloudFormation).
• Previous experience as a founding engineer or in an early-stage startup environment.
• Experience building or integrating with Claude marketplace plugins (Anthropic ecosystem), including prompt chaining, tool use, or MCP integrations.

Interview Process

1. Initial Screen — 30 min with Lead Recruiter
2. Hiring Manager Interview — 60 min with the Head of Engineering & Product
3. Technical Interview — 60 min with a Principal Engineer
4. Collaborative Interview — 30 min with Technical Product Manager

What We Offer

• Equity Options: Own a piece of the company's success.
• 100% Remote: Work from anywhere in the US.
• 100% Employer-Paid Medical Insurance.
• Flexible PTO: With a 15-day minimum.
• FSA, HSA, and 401k options.
• Learning Stipend & WFH Equipment: Everything you need for a world-class home office.
• Innovative Culture: A seat at the table to influence the latest AI technology in a collaborative, agentic-first environment. 

Role Summary: 

You own the performance, reliability, and cost efficiency of OfficeSpace’s production platform at scale. As a Senior Site Reliability Engineer, you shape how our systems run—fast, resilient, and predictable—while leading the shift from manual operations to AI-assisted reliability engineering. We provide the platform. You make it perform. 

What You’ll Do: 

• Drive measurable improvements in latency, throughput, and availability across a large-scale production environment. 

• Own system performance—from Linux internals to Kubernetes scheduling—and eliminate bottlenecks before customers feel them. 

• Define and enforce SLIs, SLOs, and error budgets that balance speed, reliability, and growth. 

• Partner with application engineers to profile code paths, improve execution efficiency, and harden services under real load. 

• Lead database performance optimization across queries, indexing, replication, and workload isolation. 

• Design and oversee AI-assisted load testing, stress testing, and capacity planning workflows. 

• Guide the migration from monolithic deployments to multi-tenant Kubernetes platforms. 

• Reduce infrastructure spend through architectural decisions, right-sizing, and intelligent scaling strategies. 

• Build and supervise automation for infrastructure provisioning, configuration management, and observability. 

• Set clear operational standards for reliability, performance, and incident response—and raise the bar for how we run production. 

 What You Bring: 

• 7+ years operating and evolving large-scale production systems. 
  Deep Linux systems expertise with hands-on performance tuning across CPU, memory, disk, and networking. 

• Strong Python skills for automation, tooling, and AI-assisted systems workflows. 

• Production experience with Ruby/Rails ecosystems, including Puma and Sidekiq. 

• Proven ability to diagnose and resolve complex database performance issues (MySQL/MariaDB or PostgreSQL). 

• Advanced Kubernetes experience—workload sizing, scheduling, and multi-tenant operations. 

• Infrastructure-as-code mastery using Terraform and Terragrunt. 

• Experience with configuration management tools such as Puppet or Ansible. 

• Strong observability instincts across metrics, logs, and traces using tools like Prometheus, Grafana, Datadog, or ELK. 

• AI fluency—comfortable supervising AI agents for analysis, testing, and reporting, and validating their outputs. 

• A builder mindset. You move fast, take ownership, and raise standards. 

 Preferred Background: 

• Scaling and refactoring monolithic applications under real production load 

• Extracting databases or stateful components from monoliths 

• Apache and Nginx tuning at scale 

• Redis performance optimization and operational management 

• CI/CD systems and GitOps workflows, including ArgoCD 

• Cloud cost optimization and FinOps-aligned operational practices 

At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning.

We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem.

We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit.

If you love working on complex, real-world ML problems at massive scale, this role is for you.

What You’ll Work On

As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including:

• Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities
• Intelligent advertising systems including ranking, bidding, measurement, and optimization
• Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals
• Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems
• Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement

You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes.

What You’ll Do

• Design, build, and deploy production-grade machine learning models and systems at scale
• Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Build scalable data and model pipelines with strong reliability, observability, and automated retraining
• Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. 
• Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
• Improve system performance across latency, throughput, and model quality metrics
• Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment 
• Contribute to technical strategy, architecture, and long-term ML roadmap

Basic Qualifications

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
• Experience improving measurable metrics through applied machine learning

Preferred Qualifications

• Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
• Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
• Experience working with real-time systems and low-latency production environments
• Background in feature engineering, model optimization, and production monitoring
• Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
• Advanced degree in Computer Science, Machine Learning, or related quantitative field

Potential Teams

• Ads Measurement Modeling 
• Ads Targeting and Retrieval
• Advertiser Optimization
• Ads Marketplace Quality
• Ads Creative Effectiveness
• Ads Foundational Representations
• Ads Content Understanding
• Ads Ranking
• Feed Relevance
• Search and Answers Relevance
• ML Understanding
• Notifications Relevance

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning.

We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem.

We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit.

If you love working on complex, real-world ML problems at massive scale, this role is for you.

What You’ll Work On

As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including:

• Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities
• Intelligent advertising systems including ranking, bidding, measurement, and optimization
• Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals
• Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems
• Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement

You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes.

What You’ll Do

• Design, build, and deploy production-grade machine learning models and systems at scale
• Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Build scalable data and model pipelines with strong reliability, observability, and automated retraining
• Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. 
• Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
• Improve system performance across latency, throughput, and model quality metrics
• Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment 
• Contribute to technical strategy, architecture, and long-term ML roadmap

Basic Qualifications

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
• Experience improving measurable metrics through applied machine learning

Preferred Qualifications

• Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
• Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
• Experience working with real-time systems and low-latency production environments
• Background in feature engineering, model optimization, and production monitoring
• Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
• Advanced degree in Computer Science, Machine Learning, or related quantitative field

Potential Teams

• Ads Measurement Modeling 
• Ads Targeting and Retrieval
• Advertiser Optimization
• Ads Marketplace Quality
• Ads Creative Effectiveness
• Ads Foundational Representations
• Ads Content Understanding
• Ads Ranking
• Feed Relevance
• Search and Answers Relevance
• ML Understanding
• Notifications Relevance

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

Job Summary

The Sr. Software Development Engineer will be part of an agile development team, building and working on transportation management services. The Sr. Software Developer develops information systems by designing, developing, and installing software solutions that are scalable for a high transaction environment.

Job Description:

• Works with an agile development team that designs, develops and maintains scalable services.

• Responsible for writing technical design specifications.

• Recommend and develop an architectural and detailed design that is used by other members of the development teams.

• Coach the team on software best practices (design, coding, troubleshooting, work breakdown, work estimation, refactor strategies, automated testing, etc.)

• Work closely with the other teams to optimize system architecture and project efficiency.

• Partner with our Product Owner to plan work and prioritization.

• Maintain high standards of software quality within the team by establishing good practices and habits.

• Assist in the collection and documentation of user's requirements, development of user stories, estimates and work plans.

• Collaborate and add value through participation in peer code reviews, providing comments and suggestions.

• Analyze and resolve technical and application problems.

• Regular practice of CI/CD.

• Support, maintain and document software functionality.

• Research and evaluate a variety of software products; create PoCs as necessary to demonstrate new ideas and technologies.

The duties and responsibilities described above may provide only a partial description of this position. This is not an exhaustive list of all aspects of the job.  Other duties and responsibilities not outlined in this document may be added as necessary or desirable, with or without notice.

Knowledge, Skills and Abilities:

• Communication skills: must be able to articulate and have a strong technical vocabulary

• Must be able to coach the team on software best practices (design, coding, troubleshooting, work breakdown, work estimation, refactor strategies, automated testing, etc.)

• Strong knowledge of system architecture, best practices and design patterns

• Evaluate and identify new technologies for implementation

• Strong background with .NET Core, C#, Kubernetes / Docker

• Knowledge and experience in Distributed systems, MicroServices, SOA and n-tier architectures

• Strong knowledge of Relational and non-relational DBs

• Knowledge of REST API, event-driven architecture applications, caching, scaling, security, etc.

• Strong knowledge of Managed Memory Architecture / Garbage Collector / Cache Management

• DDD and event driven architectures a plusAbility to inspire team

• Expert knowledge of and ability to communicate software architecture and design principles

• Expert in writing testable software

• Expert in design

• Strong knowledge in CI/CD systems

• Proficient with Object Oriented programming

• Experience with source control systems(git)

• Experience with agile development methodologies

• Experience with debugging, performance profiling and optimization

• Strong initiative to find ways to improve solutions, systems

• Attention to quality through unit tests, integration tests, and code reviews

• Understanding of queue processing(MSMQ , RabbitMQ, Kafka)

• NoSQL databases(Elastic , Cassandra , Mongo )

• Relational Database Experience (MSSQL, Postgres)

Experience Requirements: 

• Requires a minimum of 5 years of experience with software development, design patterns, software architecture

• Experience with e-commerce payment systems preferred

• Experience in Distributed systems, MicroServices

• Experience with REST API, event-driven architecture applications, caching, scaling, security

• Experience with Relational and non-relational DBs

• 5+ Years of experience working with C#, .NET Core

• Experience using Kubernetes, Helm, and Docker

• Experience building dashboards and alerts

• Experience using Prometheus, Grafana, Elasticsearch, Kibana

• Experience in the CI/CD

• Experience as a mentor, tech lead or leading an engineering team

• Experience working with RabbitMQ, Redis, Kafka

Education Requirements: 

Bachelor’s Degree required. An emphasis in Computer Science is preferred

Judgment/Reasoning Ability:  Able to identify, troubleshoot and resolve problems quickly using sound judgment, poise and diplomacy.  Ability to use judgment and reasoning skills, and determine when to escalate issues, as required, in a timely manner. 

Physical Demands (Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)   While performing the duties of this job, the team member is regularly required to talk and hear. The team member is frequently required to sit; use hands and fingers, bend, stoop and reach with hands and arms.  May require walking primarily on a level surface for periodic periods throughout the day. Reaching above shoulder heights, below the waist or lifting as required to file documents or store materials throughout the work day. Proper lifting techniques required. May include lifting up to 25 pounds. 

Work Environment:  The noise in the work environment is usually moderate.  Other factors are:

• Hectic, fast-paced with multi-level distractions

• Professional, yet casual work environment

• Office / Warehouse environment

• Ability to work extended hours as required

#LI-JC1

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

As a Sr. Site Reliability Engineer (SRE) in PitchBook’s engineering division, you will be creating and evolving systems to automatically run our suite of products and services reliably and consistently. As part of a team of site reliability engineers and platform engineers and in conjunction with group leadership, you will help define service level objectives (SLOs) that determine success and build systems to achieve those objectives.

You will utilize your strong background in deploying, managing, and maintaining production systems, working with developers to operate and monitor large-scale services with complex distributed systems and data integrations. You will incorporate observability tools (monitoring, telemetry, tracing, alerting), perform incident management, conduct root cause analyses, eliminate single points of failure, build reliability and redundancy into our infrastructure, establish and test our recoverability, mitigate failures, and do all of these things through automation and tools. 

As a Sr. Site Reliability Engineer, you will take independent responsibility for building and managing large subsets of our systems. You will help build our best practices for infrastructure-as-code and your code will exemplify our quality controls. You will mentor and train other Site Reliability Engineers, platform engineers, and software engineers in reliability topics. 

Your ability to collaborate with colleagues, exhibit poise and adaptability in stressful situations, communicate effectively, and build resilient systems that can be consistently relied upon will be critical to your success. You will solicit feedback, learn constantly, engage others with empathy, and help create a culture of belonging, teamwork, and purpose.

If you love building customer-centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us! 

Primary Job Responsibilities:

• Build and maintain internal platform services, Kubernetes operators, and observability tooling that support enterprise reliability at scale
• Design and deliver developer experience tooling and AI-leveraged workflows through Claude Code plugins and MCP servers
• Requires strong knowledge of Kubernetes, Java (Spring Boot), observability, event-driven architecture, and Python; experience with Clean Architecture, cloud-native deployment patterns, and building internal tools that improve developer productivity across engineering organizations.
• Establish service level objectives (SLOs), error budgets, and service level indicators (SLIs) as success criteria that our systems and processes consistently meet or exceed these targets
• Build recoverability into our services and systems, including disaster recovery (DR), backups/recovery, and incorporation of multi-AZ multi-regionality into cloud constructs
• Establish clustering and load balancing techniques for high availability and scalability in containerized cloud-native environments
• Build observability systems and services (monitoring, telemetry, tracing) for reuse in our platform architecture, creating alerting for fault identification and building dashboards for metrics
• Operate and continuously improve our services’ reliability, scalability, performance, security, and uptime
• Learn constantly, including in available cloud-managed services (PaaS/SaaS/IaaS), libraries, frameworks, and platforms (commercial and open-source)
• Participate in the company’s application of Agile, Lean, and principles of fast flow to engineering department efficiency and productivity and own certain tasks in process automation to achieve fluidity
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor's in Computer Science, Software Engineering, or related (Master's preferred)
  
• 5+ years of experience building and maintaining Linux/UNIX-based systems, primarily in cloud environments (preferably GCP & AWS)
  
• 5+ years of experience in a Reliability Engineering, DevOps, or infrastructure role, where infrastructure-as-code tools (e.g. Terraform, Puppet, Ansible, Chef) were used as a primary job function
  
• 5+ years of experience coding in an object-oriented language, such as Java, Python, Go, or Kotlin
  
• 2+ years of experience with containers and orchestration platforms, including Kubernetes and Docker
  
• Deep knowledge of infrastructure systems, networking, and security, including in a cloud environment
  
• Experience owning operational reliability, scalability, recoverability (backups, disaster recovery, failover), and capacity planning
  
• Experience performing operational activities including batch processing, system backups, maintenance, monitoring, and providing first-tier on-call support and being part of a 24/7 response team
  
• Experience with distributed, scalable microservices and event-driven architectures
  
• Experience with data storage, replication, caching, and search technologies, such as PostgreSQL, MySQL, MS SQL Server, Amazon RDS, GCP CloudSQL, Redis, Elasticsearch, and Lucene/Solr
  
• Hold at least one professional certification in AWS or GCP (DevOps or SysOps Engineer preferred)
  
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $175,000-$200,000
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-TK1

#LI-Onsite

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

As a Sr. Site Reliability Engineer (SRE) in PitchBook’s engineering division, you will be creating and evolving systems to automatically run our suite of products and services reliably and consistently. As part of a team of site reliability engineers and platform engineers and in conjunction with group leadership, you will help define service level objectives (SLOs) that determine success and build systems to achieve those objectives.

You will utilize your strong background in deploying, managing, and maintaining production systems, working with developers to operate and monitor large-scale services with complex distributed systems and data integrations. You will incorporate observability tools (monitoring, telemetry, tracing, alerting), perform incident management, conduct root cause analyses, eliminate single points of failure, build reliability and redundancy into our infrastructure, establish and test our recoverability, mitigate failures, and do all of these things through automation and tools. 

As a Sr. Site Reliability Engineer, you will take independent responsibility for building and managing large subsets of our systems. You will help build our best practices for infrastructure-as-code and your code will exemplify our quality controls. You will mentor and train other Site Reliability Engineers, platform engineers, and software engineers in reliability topics. 

Your ability to collaborate with colleagues, exhibit poise and adaptability in stressful situations, communicate effectively, and build resilient systems that can be consistently relied upon will be critical to your success. You will solicit feedback, learn constantly, engage others with empathy, and help create a culture of belonging, teamwork, and purpose.

If you love building customer-centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us! 

Primary Job Responsibilities:

• Bachelor's in Computer Science, Software Engineering, or related (Master's preferred)
  
• 5+ years of experience building and maintaining Linux/UNIX-based systems, primarily in cloud environments (preferably GCP & AWS)
  
• 5+ years of experience in a Reliability Engineering, DevOps, or infrastructure role, where infrastructure-as-code tools (e.g. Terraform, Puppet, Ansible, Chef) were used as a primary job function
  
• 2+ years of experience with containers and orchestration platforms, including Kubernetes and Docker
  
• Deep knowledge of infrastructure systems, networking, and security, including in a cloud environment
  
• Experience owning operational reliability, scalability, recoverability (backups, disaster recovery, failover), and capacity planning
  
• Experience performing operational activities including batch processing, system backups, maintenance, monitoring, and providing first-tier on-call support and being part of a
• 24/7 response team
  
• Experience with distributed, scalable microservices and event-driven architectures
  
• Experience with data storage, replication, caching, and search technologies, such as PostgreSQL, MySQL, MS SQL Server, Amazon RDS, GCP CloudSQL, Redis, Elasticsearch, and Lucene/Solr
  
• Hold at least one professional certification in AWS or GCP (DevOps or SysOps Engineer preferred)
  
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor's in Computer Science, Software Engineering, or related (Master's preferred)
• 5+ years of experience building and maintaining Linux/UNIX-based systems, primarily in cloud environments (preferably GCP & AWS)
• 5+ years of experience in a Reliability Engineering, DevOps, or infrastructure role, where infrastructure-as-code tools (e.g. Terraform, Puppet, Ansible, Chef) were used as a primary job function
• 2+ years of experience with containers and orchestration platforms, including Kubernetes and Docker
• Deep knowledge of infrastructure systems, networking, and security, including in a cloud environment
• Experience owning operational reliability, scalability, recoverability (backups, disaster recovery, failover), and capacity planning
• Experience performing operational activities including batch processing, system backups, maintenance, monitoring, and providing first-tier on-call support and being part of a 24/7 response team
• Experience with distributed, scalable microservices and event-driven architectures
• Experience with data storage, replication, caching, and search technologies, such as PostgreSQL, MySQL, MS SQL Server, Amazon RDS, GCP CloudSQL, Redis, Elasticsearch, and Lucene/Solr
• Hold at least one professional certification in AWS or GCP (DevOps or SysOps Engineer preferred)
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $175,000-$200,000
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-MS1

#LI-Onsite

About Netskope

Today, there’s more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. 

Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, San Francisco, Seattle, Bangalore, London, Madrid, Melbourne, Taiwan and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive.  Visit us at Netskope Careers and follow us on Twitter @Netskope and Facebook. 

About the Role

As a member of the API Protection team you will work cross-functionally to build state-of-the-art cloud platforms to support our growing product portfolio. Specific responsibilities will include but not be limited to:

• Collaborate with high profile talents, coach, mentor and encourage growth and career progress of team members.
• Reviewing architectures and designs across the organization to help guide other engineers to build scalable cloud services
• Providing technical leadership and strategic direction for large-scale distributed cloud-native solutions
• Being a catalyst for improving engineering processes and ownership

Qualifications/Requirements

• 15+ years of software engineering experience including 8+ years experience with distributed systems
• Excellent Unix/Linux experience and programming experience with go, C/C++, java and scripting: python, ruby, shell
• Understanding of IPC mechanisms and previous experience working with: TCP/IP, Kafka, zmq, grpc, zookeeper.
• Strong background in cloud environments: containers, docker, kubernetes, etcd, zookeeper, service meshes, vault, istio and envoy, API gateways, load balancers.
• Experience with databases, general understanding of ACID, consistency, sql/nosql, key-value stores, time series and columnar databases.
• Experience in CI/CD, using tools like Drone, Github, Makefiles, etc.
• Experience with in-memory databases like Redis

Additional Skills

• Strong verbal and written communication skills. Communicate in an open, transparent and consistent manner with team and co-workers.
• Determined and ever ready to roll up sleeves to respond to the needs of customers proactively and promptly.
• Achievement orientated and willing to take responsibility for own actions.
• Believe in innovation and out-of-the box thinking to foster originality of ideas.

Education

• MS in Computer Science or equivalent technical degree

#LI-AW1

Are you an experienced infrastructure engineer who has a passion for the latest cloud strategies? Do you thrive in fun yet challenging environments with complex distributed systems? If so, join us and be a key contributor in Ivanti’s success.

Site Reliability Engineering (SRE) is a growing team that partners closely with Product Engineering, Security, and Support. We are responsible for the reliability, deployment, and continuous operation of the Ivanti Cloud services.  We need your help to take our existing platform to the next level with observability, release automation, chaos engineering and more.

The SRE role is a blend of infrastructure, networking, operating systems, automation, development, and application administration. It is a hands-on technical position in a fast-paced atmosphere. The ideal candidate has prior experience managing cloud-based SaaS applications and strives to solve traditional operations problems through automation and software. More so, the candidate must possess a high standard of excellence, have a strong customer focus, and is capable of technical deep dives into code, app servers, databases, load balancers, operating systems, and/or networks.

What we need:

• BS in Computer Science/Software Engineering.
• Enthusiastic self-starter who is eager to learn
• Linux deployment and troubleshooting skills
• Windows deployment and troubleshooting skills
• Network deployment and troubleshooting skills
• Experience deploying and troubleshooting Kubernetes and Docker containers and networks
• Able to code in one or more: Java, Python, Ruby, PowerShell, advanced Shell Script, other OOP language
• Participate in a 24x7 production on-call rotation
• Strong verbal and written communication skills
• U.S. Citizenship on U.S. soil (FedRAMP)
• U.S. Swing shift hours (2 PM Pacific start time)
• Able to work remotely from within the U.S.

 Bonus Points

• Industry experience
• Familiar with one or more: MongoDB, MySQL, PostgreSQL, Redis, Kafka, or similar
• Familiar with one or more: Amazon Web Services, Microsoft Azure
• Able to configure and fine tune at least one: Webapps (Azure), Function Apps (Azure), Load balancers (Azure), HAProxy, Apache, Nginx, or similar
• Familiar with continuous integration tools: Chef, Ansible, Jenkins, Terraform, Git, or similar
• Familiar with log event aggregation, metric collection and application monitoring/exception handling: New Relic APM, InfluxDB, OpenTSD, Graphite, Elastic Search, Splunk, etc.
• Familiar with VNet/Subnetting, Firewalls, Security Groups
• Strong understanding of DevOps practices and Object-Oriented Design principles
• Experience with SOC 2, FedRAMP, and/or ISO 27001 controls

Why Ivanti?

• Friendly flexible working model: Empower excellence whether you’re at home or in the office and support work-life balance.
• Competitive total rewards: Health, wellness, and financial plans tailored for you and your family.
• Global, diverse teams: Collaborate with talented people from over 23 countries.
• Learning & development: Access best-in-class learning tools and programs so you can grow your skills.
• Equity & belonging: Every voice counts. Your story helps shape our solutions for a changing world.

What drives us?

Ivanti’s mission is to elevate human potential through technology—managing, protecting, and automating IT for continuous innovation. Our commitment to diversity, inclusion, and our global teams powers the world-class solutions we deliver for our customers.

Inclusion at Ivanti

Ivanti is proud to be an Equal Opportunity Employer. We’re dedicated to building a diverse team and creating an inclusive environment where everyone belongs. We welcome applicants from all backgrounds and walks of life.

Need adjustments during the process? Reach out to talent@ivanti.com—we’re happy to help.

Ready to make an impact? Apply now and help us build the future of IT!

#LI-Remote
#LI-AA1

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform behind Workato.com/go. You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

Role Overview

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems. 

Responsibilities

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.
• Collaborate with AI engineering and iPaaS  engineering teams to plan and deliver complex platform initiatives.
• Patch and optimize open-source components for performance and security.
• Build iPaaS and AI infrastructure at scale and cross-cloud.
• Manage and provision AWS infrastructure using Terraform and Kubernetes.
• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.
• Improve and maintain CI/CD pipelines for scalable and secure component delivery.
• Tune Linux systems and open-source software for high performance and hardened security.
• Build internal tools to streamline engineering workflows and operational automation.
• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

• 7+ years of experience in infrastructure or systems engineering roles.
• Proven expertise in distributed systems and cloud-native architectures.
• Strong understanding of Linux internals, including networking and system-level performance tuning.
• Experience operating infrastructure on AWS at scale.
• Proficiency with Terraform, Kubernetes. 
• Solid understanding of network security and cloud security best practices.
• Hands-on experience optimizing CI/CD workflows and automating deployments.
• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.
• Experience building cross-cloud AI infrastructure.
• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.
• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.
• Understanding of Vault or other secrets management systems.
• Contributions to or maintenance of open-source infrastructure projects.
  
  

Tech Stack

• AWS • Terraform • Kubernetes •  LiteLLM • Quadrant • ArgoCD • Kafka • PostgreSQL • Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

Why Join Us

• Build and operate a world-class cloud platform used by leading global enterprises.
• Collaborate with experienced engineers in the US and across international teams.
• Work in a highly technical environment focused on scalability, performance, and reliability.
• Contribute to an engineering culture that values ownership, craftsmanship, and innovation.

This is a full-time position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform behind Workato.com/go. You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

Role Overview

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems. 

Responsibilities

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.
• Collaborate with AI engineering and iPaaS  engineering teams to plan and deliver complex platform initiatives.
• Patch and optimize open-source components for performance and security.
• Build iPaaS and AI infrastructure at scale and cross-cloud.
• Manage and provision AWS infrastructure using Terraform and Kubernetes.
• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.
• Improve and maintain CI/CD pipelines for scalable and secure component delivery.
• Tune Linux systems and open-source software for high performance and hardened security.
• Build internal tools to streamline engineering workflows and operational automation.
• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

• 7+ years of experience in infrastructure or systems engineering roles.
• Proven expertise in distributed systems and cloud-native architectures.
• Strong understanding of Linux internals, including networking and system-level performance tuning.
• Experience operating infrastructure on AWS at scale.
• Proficiency with Terraform, Kubernetes. 
• Solid understanding of network security and cloud security best practices.
• Hands-on experience optimizing CI/CD workflows and automating deployments.
• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.
• Experience building cross-cloud AI infrastructure.
• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.
• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.
• Understanding of Vault or other secrets management systems.
• Contributions to or maintenance of open-source infrastructure projects.
  
  

Tech Stack

• AWS • Terraform • Kubernetes •  LiteLLM • Quadrant • ArgoCD • Kafka • PostgreSQL • Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

Why Join Us

• Build and operate a world-class cloud platform used by leading global enterprises.
• Collaborate with experienced engineers in the US and across international teams.
• Work in a highly technical environment focused on scalability, performance, and reliability.
• Contribute to an engineering culture that values ownership, craftsmanship, and innovation.

This is a full-time position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.