Remote Jobs Across Engineering, Product, and Data

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Backend Platform Engineer

ClearlyRated

ClearlyRated® helps business service providers harness the client experience for growth.

Backend Engineer6 hours ago

Full Time Remote Mid LevelTeam 11-50Since 2016H1B No Sponsor

Company Site LinkedIn

Role Description We’re building the integration backbone that connects enterprise data systems, moves events at scale, and powers survey automation for some of the world’s largest professional services firms. If you love distributed systems, API design, and clean backend engineering — read on. Key Responsibilities - Real systems that enterprise clients depend on. Not greenfield experiments, but a world-class brand new platform with production code that has to be correct, observable, and resilient: - Integration layer that ingests structured data from enterprise sources (Snowflake, BigQuery, SQL databases) and routes it through our platform - A Snowflake-to-BigQuery bridge over ODBC: custom infrastructure work that will serve as the pattern for all future enterprise integrations - Webhook-triggered survey automation engine. Business events in the client’s system translate into survey sends through a reliable, auditable event pipeline - REST APIs consumed by our frontend, enterprise integrations, and third-party clients — you’ll design contracts that have to last - Event-driven microservices on GCP Pub/Sub and Kafka — async processing, backpressure handling, dead-letter queues, the full picture - Security and SSO integration for enterprise clients with complex credential and access models - Permission and access control systems that reflect matrix organizational hierarchies — the authorization layer is genuinely interesting here Qualifications - Java you understand at the JVM level. - Concurrency, memory model, garbage collection, exception hierarchy — you can reason about what the runtime is doing, not just what your code says. - Spring Boot / Spring ecosystem depth or deep understanding of dependency injection and IoC from another framework. - SQL and data modelling confidence. You can write a query with joins, aggregations, and window functions. - API design instincts. You know what makes an API contract good and what makes it a maintenance nightmare. - Systems thinking under failure. You consider retries, timeouts, idempotency, and consistency before you consider happy paths. - You’ve built something that handles real load, where correctness and reliability were actual constraints. Bonus Points - .NET / C# experience is a genuine plus. - GCP experience: Pub/Sub, Dataflow, BigQuery, Vertex AI. - Kafka or other message queue experience: consumer groups, offset management, partition strategy. - Kubernetes and container orchestration. - Event sourcing or CQRS patterns. - Experience with observability tooling — distributed tracing, structured logging, alerting on the things that matter. Benefits - We hire on ability, not tenure. We don’t care whether your experience comes from a top university, a bootcamp, an open-source project, or a side hustle you built at 2am. - Our interview process is deliberately hard. If you make it through, you’ll know you earned it — and so will we. - We test fundamentals, systems thinking, and the ability to reason through problems you haven’t seen before. - Our backend interview tests: Java fundamentals and JVM reasoning, systems design, API design, SQL, and your ability to think through distributed system failure modes.

Distributed Systems Snowflake BigQuery SQL Webhooks REST API Microservices GCP Apache Kafka SSO Java JVM Spring Boot .NET C#AI Kubernetes Observability/Monitoring

View details: Backend Platform Engineer

United States

$80K - $100K / year

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Senior Backend & Infrastructure Engineer

Very Good Ventures

The Flutter Development Experts

Infrastructure Engineer8 hours ago

Full Time Remote SeniorTeam 51-200H1B No Sponsor

Company Site LinkedIn

Role Description We are seeking a hands-on Backend & Infrastructure Engineer (Infrastructure & Scalability) to design, build, and maintain scalable cloud infrastructure and backend services. This role requires deep expertise in backend services development, DevOps, programmatic infrastructure / Infrastructure As Code (IaC), and Site Reliability Engineering to ensure the stability and performance of our internal and client product initiatives. You will be instrumental in standing up, scaling, and supporting complete backends as well as individual services, including deployed AI agents and agentic infrastructure. As a consultancy, the needs and technology stacks of our clients can range widely across projects, as such we are looking for candidates with breadth of expertise and a flexible mindset. Our product development focus leans heavily towards cloud infrastructure and more recently towards deployment of AI agents and agentic infrastructure. Responsibilities - Platform & Infrastructure - Design, implement, and manage cloud infrastructure using programmatic tools such as Terraform, OpenTofu, or similar. - Build and manage staged development environments and corresponding CI/CD pipelines to ensure rapid, reliable, and automated deployments. - Oversee observability, monitoring, logging, and alerting systems for performance, usage metrics, and security. - Establish best practices for security, compliance, and cost optimization within cloud deployments. - Build, deploy, and manage individual services, including autonomous agents, ensuring they are scalable and performant. - Backend Development & Integration - Develop, deploy, and scale robust backend services and microservices, with a focus on high availability and resilience. - Develop and maintain robust backend APIs and integration services. Strong working knowledge of API design and expertise with GraphQL deployment. - Working knowledge of backend architectural patterns and their application. - Collaboration with front-end teams for services integrations and performance. Qualifications - 6+ years of experience as a Backend or Full Stack Engineer with a strong emphasis on DevOps, programmatic infrastructure and/or Site Reliability Engineering (SRE). - Expertise in programmatic infrastructure and cloud resource management using infrastructure-as-code tooling. - Strong experience with one or more of the major cloud platforms (e.g., GCP, AWS, or Azure). - Deep proficiency in at least one modern backend language (e.g., Python, Typescript, Go, Java/Kotlin, C#, or Rust). - Solid experience designing and scaling production backends, building and deploying custom services, and utilizing cloud managed services. - Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). - Familiarity with feature-flagging and staged product rollouts. - Experience implementing and managing observability, logging, and alerting systems. - Comfortable working in fast-paced environments with evolving requirements. - All resumes must be in English. - Must be fluent in English (level 3). Nice to haves - Certification from one or more cloud platform (GCP, AWS, or Azure). - Experience building and scaling AI-powered services or agents. - Anthropic or other AI certification (e.g., Claude Certified Architect Foundations). Benefits - Passion and enthusiasm for what we create. - REMOTE first and global company. - Subsidized health insurance, dental, and vision coverage. - Generous parental leave. - Flexible PTO and company holidays. - End of year company shut down (December 25 - January 1), in addition to observing company holidays. - 12 -16 weeks universal fully paid family leave. - Other benefits available based on location.

Infrastructure as Code AI Agents Terraform CI/CD Observability/Monitoring Microservices API GraphQL GCP AWS Azure Python TypeScript Java Kotlin C#Rust Docker/Containers Docker Kubernetes

View details: Senior Backend & Infrastructure Engineer

Northern America + 1 more

$175K - $205K / year

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Senior Data Engineer

A-TEK Inc.

Data Engineer9 hours ago

Full Time Remote Senior

Role Description A-TEK is seeking a Senior Data Engineer to support enterprise data modernization, cloud-native data engineering, analytics enablement, and data governance initiatives for Federal customers. This role focuses on designing and implementing scalable data platforms, automated ETL/ELT pipelines, and modern cloud-based data solutions supporting scientific, operational, and mission-critical environments. The ideal candidate combines strong hands-on engineering expertise with the ability to collaborate across technical and non-technical teams to modernize data ecosystems and improve enterprise data accessibility, quality, governance, and analytics capabilities. NOAA experience is preferred. This position is remote and requires the ability to obtain and retain a public-trust clearance. Responsibilities - Design, develop, and optimize enterprise data warehouses and large-scale ETL/ELT pipelines - Engineer cloud-native data processing solutions supporting structured, semi-structured, and unstructured data - Develop scalable ingestion and transformation frameworks for high-volume and real-time data processing - Support modernization of legacy data environments into cloud-based architectures - Design and implement data models, schemas, and database structures optimized for analytics and reporting - Develop metadata-driven automation, data quality validation, lineage tracking, and governance capabilities - Build and maintain reporting, analytics, and dashboarding solutions supporting operational and executive decision-making - Collaborate with architects, engineers, analysts, and business stakeholders to define technical requirements and implementation strategies - Support AI/ML and advanced analytics initiatives through scalable data engineering and MLOps-ready infrastructure - Implement Infrastructure-as-Code (IaC), CI/CD pipelines, and automated deployment processes - Perform database tuning, query optimization, and performance engineering activities - Support secure data management and compliance with Federal security and data governance requirements - Provide technical leadership, mentoring, and engineering best practices across project teams Qualifications - Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field - 7+ years of experience in data engineering, data warehousing, database engineering, or related disciplines - Strong experience designing and implementing ETL/ELT pipelines and enterprise data warehouse solutions - Experience with distributed processing frameworks and cloud-native data ecosystems - Strong experience with data modeling, database design, and dimensional modeling techniques - Experience implementing data governance, metadata management, data quality, and data integrity controls - Proficiency with SQL and Python-based data engineering and automation - Experience with cloud data platforms and services in AWS, Azure, or Google Cloud - Experience supporting large-scale, modern data modernization initiatives - Strong verbal and written communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders - Experience collaborating across cross-functional teams in Agile or DevSecOps environments Preferred Qualifications - NOAA or broader Federal civilian agency experience - Experience supporting scientific, environmental, geospatial, or research data environments - Experience with GIS or geospatial data platforms - Experience with AI/ML data engineering or MLOps support - Experience with Infrastructure-as-Code and CI/CD automation - Familiarity with metadata management, data catalogs, and enterprise governance frameworks - Experience with real-time streaming or event-driven data architectures - AWS or Azure certifications Preferred Technical Skills - SQL Server, PostgreSQL, Oracle, or cloud-native databases - Azure Data Factory, SSIS, Informatica, dbt, Airflow, or similar ETL frameworks - Azure Synapse, Databricks, Spark, Hadoop, Kafka, or distributed analytics platforms - Python, Pandas, NumPy, PySpark - Power BI, Tableau, SSRS, or enterprise analytics platforms - Docker, Kubernetes, Git, Azure DevOps, Jenkins, Terraform, or similar DevOps technologies - REST APIs and data integration services Compensation Salary Range: $160,000 – $170,000 annually (commensurate with experience, professional certifications and location) Benefits - Health, dental, and vision insurance - 401(k) with employer match - Paid time off - Professional development opportunities

View details: Senior Data Engineer

United States

$160K - $170K / year

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Sr. Data Scientist

ECS Tech Inc

All candidates must meet the following criteria: Must be a US Citizen, no dual Citizenships. Must be able to secure a Public trust clearance. Must be able to work across multiple programs across the Federal and DOD space. The core values that ECS looks for in an engagement manager include: Teamwork, Respect, Accountability, Integrity, and Leadership.

Data Scientist9 hours ago

Full Time Remote SeniorH1B No Sponsor

Company Site LinkedIn

Role Description Everforth ECS is seeking a Sr. Data Scientist to join our team remotely. This position is contingent upon contract award. Are you passionate about building intelligent search and retrieval systems and applying GenAI to solve real-world data challenges? Join ECS, a leading provider of cloud, AI, data, and enterprise transformation solutions. In this role, you will design and optimize next-generation search and retrieval experiences using Elasticsearch, Vector Search, and Retrieval-Augmented Generation (RAG) techniques to improve relevance, accuracy, and decision-making outcomes. We are seeking a Sr. Data Scientist focused on Search, RAG, and GenAI to support ECS’s Professional Services. The ideal candidate enjoys working at the intersection of data science, search relevance, and large language models (LLMs), collaborating with customers and internal teams to deliver intelligent, high-impact solutions. You will play a key role in shaping search architectures, advising on best practices, and applying advanced AI techniques to enterprise-scale data sets. This role offers the opportunity to work with cutting-edge GenAI technologies while directly influencing customer success across diverse environments and use cases. Key Responsibilities - Design, implement, and optimize intelligent search solutions using Elasticsearch, including lexical, semantic, and vector-based search techniques. - Apply Retrieval-Augmented Generation (RAG) patterns to enhance LLM-driven applications with accurate, relevant, and contextual enterprise data. - Consult with customers to understand business objectives, data landscapes, and search challenges, translating requirements into effective AI-powered search strategies. - Build and refine embedding strategies, indexing approaches, and query workflows to improve relevance, precision, and recall. - Evaluate and integrate LLMs and GenAI capabilities into enterprise search and analytics use cases. - Collaborate with data, AI, and platform teams to align GenAI solutions with existing systems and operational workflows. - Provide strategic recommendations to improve search performance, result explainability, and overall user experience. - Lead knowledge-sharing sessions, technical workshops, and enablement activities related to GenAI, RAG, and advanced search techniques. - Serve as a trusted advisor for customers and internal stakeholders on emerging trends in AI-powered search and retrieval. - Stay current with advancements in Elasticsearch, GenAI, LLM tooling, and search relevance methodologies. Qualifications - Hands-on experience applying Elasticsearch to search, analytics, or data science use cases. - Strong understanding of search concepts including relevance tuning, indexing strategies, and query optimization. - Experience working with data science or AI-driven solutions in enterprise environments. - Familiarity with large-scale data platforms and cloud environments (AWS, Azure, or GCP). - Ability to translate complex technical concepts into clear guidance for customers and stakeholders. - Strong analytical, problem-solving, and communication skills. - Willingness and ability to travel to customer sites as needed. - Must be a U.S. Citizen and have an active TS/SCI U.S. Security Clearance. - Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent experience). Requirements - Salary Range: $180,000 - $200,000

Amazon ECS AI Elasticsearch LLM AWS Azure GCP

View details: Sr. Data Scientist

United States

$180K - $200K / year

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Databricks Architect

Cystems Logic Inc

"U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time." All your information will be kept confidential according to EEO guidelines.

Architect10 hours ago

Contract Remote Mid Level

Role Description We are looking for a Sr. Databricks Architect with the following skills: - Pyspark - Unity Catalog - Data Extraction Very good communication skills are required. The candidate must be a subject matter expert and a very senior person. Qualifications - 10+ years of overall experience in data engineering or related fields - 4+ years of hands-on experience with Databricks and Apache Spark - Strong proficiency in PySpark SQL and performance tuning - Experience with ETL/ELT pipeline development and orchestration - Expertise in Delta Lake data modeling and optimization - Strong experience with cloud platforms such as Azure, AWS, or GCP - Familiarity with Python or Scala for data engineering tasks - Experience with CI/CD pipelines and DevOps practices - Strong analytical problem-solving and communication skills Requirements - U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. - We are unable to sponsor at this time. Company Description

Databricks PySpark Unity Data Engineering Apache Spark SQL ETL Azure AWS GCP Python Scala CI/CD

View details: Databricks Architect

United States

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Staff Engineer

Guild

At Guild, we unlock opportunity for America’s workforce through education, skilling, and career mobility.

Engineer10 hours ago

Full Time Remote LeadTeam 1,001-5,000Since 2015H1B Sponsor

Company Site LinkedIn

Role Description Guild is hiring a Staff Engineer to join our Grow Talent Experience team, focused on building guided core member experiences which are personalized, intuitive, and delightful. In this role, you will design and deliver robust software solutions that serve the evolving needs of members pursuing learning and career growth opportunities. As a Staff Engineer , you will: - Design, build, and own new user interfaces, services, and infrastructure. - Write clean, testable, and reusable code. Contribute to end-to-end development including testing, CI/CD pipelines, monitoring, and deployment, ensuring high availability and quality in releases. - Lead by example in code quality, technical decision-making, and documentation practices. Create and contribute to design documents, architecture decision records (ADRs), and technical discussions that communicate trade-offs clearly. - Work closely with product managers, designers, operations teams, and external client technical teams to translate business requirements into effective engineering solutions. Contribute to planning, estimation, and execution of product roadmap items. - Use operational data such as logs, metrics, and user feedback to identify and implement enhancements in performance, reliability, and developer velocity. Take ownership of resolving issues and driving root cause analysis and sustainability. - Improve internal development processes, tools, and workflows to enhance code quality, speed of delivery, and system security. - Lead engineering efforts, sharing knowledge and feedback both inside and outside your team. - Elevate the 4 other engineers on the team through mentoring and guidance. Qualifications - Excellent cross-team communication and collaboration skills, especially in a distributed working environment. - Expertise in several (or all!) of these tools and technologies: Python, TypeScript, Node.js, React, PostgreSQL, DynamoDB, and GraphQL. - Expertise building and owning multiple services and user interfaces - data modeling, unit and integration testing, application monitoring, and continuous integration and deployment (CI/CD). - Expertise with a cloud platform (AWS, GCP, Azure, DigitalOcean), database technologies (Postgres, MySQL, NoSQL), and modern source control (Git / Github). - Experience utilizing AI-assisted development tools such as Cursor, GitHub Copilot, or similar. - Experience integrating LLM APIs (e.g., OpenAI) and building AI-powered features, including assistants, summarization, RAG workflows, or vector search. - Demonstrated curiosity and interest in keeping up and experimenting with new technologies. Requirements - Ability to live and work full-time in one of the specified states. Benefits - Access to low-cost, high-quality health care options through Collective Health and Kaiser (due to coverage limitations, Kaiser is currently only available in CA & CO). - Access to a 401k to help save for the future. - Vacation policy to rest and recharge. - 8 days of fully-paid sick leave, to take the time to heal and or recover. - Family-friendly benefits, including 12 weeks of parental leave for non-birthing parents and 18-20 weeks for birthing parents; 2-week ramp-up period for when employees return from a leave of 6 weeks or more; as well as employer-paid short-term and long-term disability, employer-sponsored life insurance, fertility and caregiving benefits. - Well-rounded wellness benefits including free and low-cost mental health resources and financial wellbeing support services. - Education benefits and tuition assistance to help your future development and growth.

CI/CD Observability/Monitoring Python TypeScript Node.js React PostgreSQL DynamoDB GraphQL AWS GCP Azure MySQL NoSQL Git GitHub AI LLM OpenAI API

View details: Staff Engineer

United States

$161K - $215K / year

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Partnerships Manager

ThinkingAI

Account Manager11 hours ago

Full Time Remote Lead

Role Description ThinkingAI's platform sits at the intersection of foundation models, enterprise data, and the agentic ecosystem (MCP, Slack, Lark, Discord, vertical SaaS). The Partnerships Manager will build and operate the partner motion that compounds our reach — sourcing the right partners, landing the relationships, and turning them into co-selling, co-marketing, and co-building outcomes. This is a builder role inside a small, senior team; you'll have wide latitude and direct executive exposure. What You'll Do - Discovery & sourcing: - Map the partner landscape across model providers (Anthropic, OpenAI, Google, Meta, open-source), hyperscalers (AWS, GCP, Azure), the MCP ecosystem, system integrators, and vertical ISVs. - Build a prioritized target list with a clear thesis for each. - Relationship building: - Open doors, run discovery, and build trust with PM, BD, and field counterparts at partner companies. - Be the relationship of record at ThinkingAI. - Product-led partnerships: - Work with our product and engineering team to scope joint technical work — integrations, reference architectures, MCP-based connectors, joint demos. - Translate partner needs into product requirements. - Co-selling: - Build the co-sell motion with priority partners: account mapping, joint pipeline reviews, co-pitching to enterprise accounts, marketplace listings (AWS, GCP, Azure). - Co-marketing & joint GTM: - Partner with marketing on joint webinars, launches, customer stories, event presence, and content. - Convert partner momentum into measurable pipeline. - Operating cadence: - Own the partnership pipeline, QBRs, and reporting. - Define what "good" looks like for each partner tier and hold the relationship to it. Qualifications - 4–7 years in partnerships, BD, alliances, or strategic GTM roles. - Direct experience at a frontier AI lab or major AI platform — OpenAI, Anthropic, Google (DeepMind / Cloud AI), Meta AI — or at a comparable B2B enterprise software company with a serious partner program. - A working network across the AI ecosystem (model providers, hyperscaler AI orgs, agent/MCP ecosystem, top SIs). - Strong product instincts. You can sit in a technical scoping conversation, understand what's being proposed, and represent ThinkingAI credibly — not just hand off to an SE. - Track record of sourcing partnerships that produced measurable outcomes: pipeline, ARR influenced, joint customers, or shipped integrations. - Excellent written and verbal communication. Comfortable owning an exec relationship and a Slack channel with equal polish. - Bonus: experience with on-prem / regulated-industry enterprise sales motions, MCP, or vertical AI (gaming, fintech, consumer apps). Compensation - Base salary: $150,000 – $185,000 - Variable / partner-influenced bonus: $25,000 – $60,000 OTE, tied to sourced pipeline, co-sell ARR influenced, and signed strategic partnerships. - Total OTE: $175,000 – $245,000 Benefits - Medical / dental / vision (100% employee premium) - 401(k) - 10 days PTO with ability to request more

Slack OpenAI API AWS GCP Azure Google Tag Manager AI

View details: Partnerships Manager

United States

$175K - $245K / year

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Staff Engineer

Ford Motor Company

This position is leadership level 6 and ranges from $132,800-$250,800. For California residents this position is a leadership level 6 and ranges from $150,200-$283,500. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

Engineer12 hours ago

Full Time Remote LeadTeam 10,001+Since 1903H1B Sponsor

Company Site LinkedIn

Role Description We are looking for a visionary Staff Engineer to serve as the technical North Star for our data and AI-driven platforms. In this role, you will be responsible for the evolution of our core architecture, moving us toward a future where real-time data processing and AI are seamlessly integrated into every facet of our product. As our data ecosystem grows in complexity, we need a leader who can navigate the intersection of high-performance backend engineering and modern AI capabilities. You will tackle "unsolved" problems—designing systems that handle petabytes of data with millisecond latency, architecting multi-tenant API ecosystems, and building the infrastructure that delights our customers who are leveraging our AI solutions for their everyday work. You are a "leader of leaders," someone who influences our multi-year technical roadmap and ensures that our engineering standards remain world-class while we innovate at speed on the Google Cloud Platform (GCP). Qualifications - Bachelor’s Degree in Computer Science, Data Science, or a related field - 10+ years of professional software engineering experience, with at least 5 years using Python and SQL - 5 years experience building and consuming APIs to drive complex data integrations across distributed systems - 5 years experience migrating or building large-scale architectures on GCP - 4+ years in a Senior or Staff capacity, overseeing large-scale distributed systems - 2+ years Practical experience using LLM APIs or building GenAI-enabled applications - Experience in a "Product-led" engineering environment where you have directly influenced product features through technical capability Requirements - Expert-level proficiency in Java and Python - Strong experience with Kotlin for modern backend services - Deep experience with GCP (Google Cloud Platform), specifically BigQuery, Dataflow, Vertex AI, GKE (Google Kubernetes Engine), and IAM - Mastery of SQL and data modeling - Proven track record of building real-time processing systems at scale and robust batch ETL/ELT pipelines - Practical experience deploying AI/ML models in production, prompt engineering, fine-tuning, and working with vector databases (e.g., Pinecone, Weaviate, or Vertex AI Search) - Expert knowledge of distributed systems, CAP theorem, microservices patterns, and event-driven architecture - Ability to look 12–24 months ahead and identify technical debt or opportunities for innovation - Ability to explain complex technical concepts to non-technical stakeholders and executives - A "get it done" attitude with the ability to navigate ambiguity and drive projects to completion in a fast-paced environment Benefits - Immediate medical, dental, vision and prescription drug coverage - Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more - Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more - Vehicle discount program for employees and family members and management leases - Tuition assistance - Established and active employee resource groups - Paid time off for individual and team community service - A generous schedule of paid holidays, including the week between Christmas and New Year’s Day - Paid time off and the option to purchase additional vacation time Company Description This position is leadership level 6 and ranges from $132,800-$250,800. For California residents this position is a leadership level 6 and ranges from $150,200-$283,500. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

AI GCP Python SQL Distributed Systems LLM Java Kotlin BigQuery Google Kubernetes Engine Kubernetes Amazon IAM ETL AI/ML Pinecone Weaviate Microservices

View details: Staff Engineer

United States

$132.8K - $283.5K / year

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Forward Deployed Engineer

AppGate Cybersecurity, Inc.

AppGate is a leading cybersecurity company and pioneer in the Zero Trust Network Access (ZTNA) market focused on providing cutting-edge solutions that protect organizations from evolving threats. Our mission is to support the warfighter, the national security community, and critical infrastructure by providing trusted access that ensures mission success.

Engineer15 hours ago

Full Time Remote Mid Level

Role Description We are looking for a Forward Deployed Engineer (FDE) to work directly with customers to design, implement, and operationalize technical solutions that solve high-impact business and security challenges. This role combines software engineering, systems integration, customer engagement, and solution architecture. As an FDE, you will operate at the intersection of engineering, product, and customer success. You will work closely with enterprise customers to understand their environments, deploy and customize solutions, integrate with complex infrastructures, and help shape product direction based on real-world feedback. This is a highly cross-functional role ideal for engineers who enjoy solving ambiguous problems, working directly with customers, and delivering measurable outcomes in fast-moving environments. Key Responsibilities - Customer-Facing Engineering - Partner directly with customers to understand technical requirements, workflows, and operational objectives. - Design and implement tailored technical solutions in customer environments. - Lead deployments, integrations, proof-of-concepts, and production rollouts. - Troubleshoot complex technical issues across infrastructure, networking, identity, APIs, and cloud platforms. - Translate customer challenges into scalable technical solutions. - Solution Development & Integration - Build scripts, automation, integrations, and lightweight applications to extend platform capabilities. - Develop APIs, connectors, and workflow automations. - Integrate with enterprise systems such as IAM, SIEM, endpoint management, cloud providers, and DevOps tooling. - Contribute reusable deployment patterns, templates, and tooling. - Cross-Functional Collaboration - Work closely with Product, Engineering, Sales Engineering, Customer Success, and Support teams. - Provide product feedback based on customer needs and field experience. - Influence roadmap priorities through direct customer insights. - Document implementation best practices and operational runbooks. - Technical Leadership - Serve as a trusted technical advisor to customers. - Lead technical workshops, architecture reviews, and onboarding sessions. - Mentor customers and internal teams on deployment best practices. - Drive operational excellence and long-term customer success. Qualifications - Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience. - 3+ years of experience in software engineering, solutions engineering, systems engineering, DevOps, or related technical roles. - Strong experience with APIs, scripting, and automation. - Experience with cloud platforms such as AWS, Azure, or Google Cloud. - Strong understanding of networking, authentication, and enterprise infrastructure. - Experience troubleshooting distributed systems and production environments. - Ability to communicate technical concepts clearly to both technical and non-technical stakeholders. - Strong problem-solving skills and ability to work independently in ambiguous environments. - Willingness to travel occasionally to customer sites if required. Preferred Qualifications - Experience working in customer-facing technical roles. - Experience with cybersecurity, zero trust, identity, or access management platforms. - Familiarity with Kubernetes, Docker, Terraform, or infrastructure-as-code. - Experience with Python, Go, JavaScript, or similar programming languages. - Knowledge of enterprise security architectures and compliance frameworks. - Experience working in fast-paced startup or high-growth environments. Technical Skills - Preferred experience in several of the following areas: - REST APIs and API integrations - Python, Bash, Go, or JavaScript - Linux administration - Networking protocols and troubleshooting - SSO, SAML, OAuth, OpenID Connect - Cloud infrastructure and automation - CI/CD pipelines - Kubernetes and container orchestration - Infrastructure-as-Code tools - Logging, monitoring, and observability platforms - Security and identity platforms Compensation 160K Annually What Success Looks Like - Customers successfully deploy and operationalize solutions quickly. - Technical integrations are reliable, scalable, and maintainable. - Customer feedback directly improves product capabilities. - Complex implementation challenges are resolved efficiently. - Strong relationships are built with customer technical stakeholders. Why Join Us - Work on high-impact technical problems with enterprise customers. - Collaborate with product and engineering teams to influence platform direction. - Operate in a highly technical and customer-centric environment. - Gain exposure to modern cloud, security, and infrastructure technologies. - Be part of a fast-moving team focused on innovation and customer success. Company Description AppGate is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.

Amazon IAM SIEM AWS Azure GCP Distributed Systems Kubernetes Docker Terraform Python JavaScript REST API Shell Linux SSO SAML OAuth OpenID Connect CI/CD Observability/Monitoring

View details: Forward Deployed Engineer

United States

$160K / year

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Advanced Data Engineering - Alteryx

Zensar

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

Data Engineer16 hours ago

Full Time Remote Mid LevelTeam 10,001

Role Description - Strong hands-on experience with Alteryx Designer - Experience with Alteryx Server (deployment, scheduling, permissions) - Advanced SQL (joins, window functions, performance tuning) - Experience with data preparation, ETL, and analytics concepts - Familiarity with relational databases (Oracle, SQL Server, Snowflake, etc.) - Good understanding of data modeling and data quality principles Nice to Have: - Experience with Python or R integration in Alteryx - Knowledge of BI tools (Power BI, Tableau) - Exposure to cloud platforms (Azure, AWS, GCP) - Experience with version control (Git) - Knowledge of Agile / Scrum methodology Company Description At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

Alteryx SQL ETL Oracle Database Microsoft SQL Server Snowflake Python R Power BI Tableau Azure AWS GCP Git

View details: Advanced Data Engineering - Alteryx

India

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