Cloud Infrastructure

Cloud Infrastructure Engineer Jobs

215 jobs found

1mo ago

Entry-Level Software Engineer

Pariveda New York, NY

New York, NY

1mo ago Closed

$80k - $92k/yr Full time Backend Developer Ai Engineering Artificial Intelligence

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

Pariveda is hiring an Entry-Level Software Engineer to join small project teams where collaboration with Pariveda employees and client partners supports delivery of real business solutions. This hybrid role includes mentorship, a structured career path, and exposure to a range of modern engineering domains.

Location

New York, NY (hybrid)

Salary

USD 79,800 - 91,800 per year

Role Responsibilities

Work as a Pariveda Consultant in small teams, collaborating with Pariveda employees and partnering with clients to solve real business challenges.
Develop your career with a dedicated mentor and a clearly defined career path, including reviews every 6 months and eligibility for promotion every 12 months.
Build leadership through hands-on learning across the software lifecycle, including estimating, gathering requirements, developing, testing, managing projects, architecting, and delivering solutions.
Explore a broad technology stack across cloud, data engineering, DevOps, and AI/GenAI, including Cloud platforms such as AWS, Azure, and Google Cloud.
Apply data engineering practices using Databricks and PySpark, and DevOps practices including CI/CD, Docker, and Terraform.
Build AI and Generative AI solutions using RAG, LLMs on Azure OpenAI and AWS Bedrock, prompt engineering, and agent frameworks such as LangChain.
Develop in Python, Java, SQL, JavaScript, and .NET, with exposure to modern web technologies including React and Angular.
Use AI strategically to enhance client solutions by streamlining development, uncovering insights, accelerating delivery, and clearly communicating value, limitations, and ethical use to clients and stakeholders.
Improve professional communication by creating and presenting findings, solutions, and demos to audiences that may include senior executives and stakeholders.
Participate in a hybrid work model.
Engage in a culture of continuous learning, community service, social gatherings, and personal and professional development.
Work with supportive colleagues who are described as smart and humble.

Required Qualifications

Passionate technologists with software development experience or relevant internship experience.
Lifelong learners with a passion for technology.
Strong problem-solving skills and a proven ability to create innovative solutions.
Flexible, adaptable professionals who can succeed as clients, teams, and technologies change.
Future technology leaders motivated by fast-paced personal and professional growth.
Strong communication skills for explaining and presenting concepts to technical and non-technical audiences.
Currently pursuing a bachelor's or master's degree in Management Information Systems (MIS), Computer Science, Computer Engineering or a comparable field, with an anticipated graduation date between December 2026 and August 2027.
Legally authorized to work in the United States for any company without current or future sponsorship.

Technology Stack

AWS, Azure, Google Cloud
Databricks, PySpark
CI/CD, Docker, Terraform
RAG, LLMs, Azure OpenAI, AWS Bedrock
Prompt engineering, LangChain
Python, Java, SQL, JavaScript, .NET
React, Angular

Benefits

Transparent and Equitable Salary: entry-level salary starts at $79,800, with cost of labor increases for Los Angeles, New York, San Francisco, Seattle, and Washington DC markets.
Comprehensive medical, dental, and vision insurance for you and your family.
Employer Health Savings Account (HSA) contribution.
401(k) match: 2% with immediate vesting.
Company ownership through an Employee Stock Ownership Plan (ESOP).
Paid time off: 4 weeks of vacation time, 10 holidays, and 1 floating holiday.
Paid sabbatical after 5 years of service for Principals and above.
Paid parental leave and reimbursement of breast milk shipping costs for work travel.
Employee Assistance Program (EAP), health concierge, and a financial wellness tool.
Company-paid cell phone plan and a device stipend.
Life insurance.
Short-Term and Long-Term Disability coverage.

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1mo ago

Sr. Software Engineer

Viant Technology Irvine, CA

Irvine, CA

1mo ago Closed

$150k - $180k/yr Full time Backend Developer Senior APIs

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

Viant Technology is hiring a Senior Software Engineer to join the Potens team in Irvine, CA (onsite). In this hands-on full-stack role, you will help evolve Viant’s internal workflow orchestration and BigQuery exploration platforms, while expanding AI-powered capabilities through production-grade integrations.

Working across Java and Go services, JavaScript applications, and data platforms, you will contribute to end-to-end delivery, from technical proposal through deployment and production support. The position also includes building AI features using modern LLM patterns such as tool calling, guardrails, and evaluation.

Role Overview

Evolve Magnus and Goliath internal platforms that support workflow orchestration and large-scale data exploration
Modernize established systems while delivering new AI-powered capabilities
Work across Java/Go backends, browser-based JavaScript, data platforms, and AI integrations
Improve how users and authorized AI agents interact with platform capabilities, from creating and managing workflows to exploring BigQuery and executing generated SQL
Build reliable software with an engineering workflow that includes ownership from design through ongoing production support

Responsibilities

Maintain and modernize Magnus Java applications, REST APIs, and Goliath JavaScript/jQuery frontend
Develop and support backend capabilities using Java and Go
Build production AI features and integrations using LLMs, tool calling, guardrails, evaluation, and MCP
Integrate with BigQuery, MySQL, GCP services, and internal APIs
Diagnose and resolve application, workflow, database, performance, and production issues
Build automated tests and deliver production-quality software
Own projects end to end, including technical proposal, implementation, deployment, and production support
Participate in code reviews and contribute to strong engineering practices across the team

Platforms

Magnus: visual workflow orchestration supporting BigQuery, Cloud Storage, MySQL, REST APIs, email, FTP, conditional routing, parallel execution, Go and JavaScript scripting, YAML workflow definitions, debugging, audit history, and access controls
Goliath: lightweight, high-performance BigQuery development interface for writing and executing SQL, browsing datasets and tables, visualizing results, and managing cost and quota allocation without requiring direct access to the GCP Console

Technologies

Java, Go, JavaScript, jQuery
BigQuery, MySQL, GCP
REST APIs
LLMs, tool calling, guardrails, evaluation, MCP (including MCP server/client development)
Docker, Kubernetes, GKE
CI/CD pipelines, GitHub Actions
Python
Java 8, Tomcat, JSP, CodeMirror, Chart.js, YAML
Cloud Storage, REST, FTP, Email
MySQL performance optimization, GCP Console

Compensation & Benefits

Salary: USD 150,000 - 180,000 per year
fully paid health insurance
paid parental leave
unlimited PTO

Great to Have

MCP server/client development and AI agent or tool-calling architectures
Go development in production environments
GCP and BigQuery experience
Docker, Kubernetes, or GKE experience
MySQL performance optimization experience
CI/CD pipelines, including GitHub Actions
Python development experience
Java 8, Tomcat, JSP, CodeMirror, or Chart.js
Experience with incremental modernization of mature applications while maintaining production stability

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1mo ago

Cloud Security Engineer

ArdentMills Denver, CO 🇺🇸 Remote

Denver, CO

1mo ago Closed

$140k - $200k/yr Full time Azure Azure Developer Associate Azure Functions

This position is no longer accepting applications (closed Sep 10, 2026).

Job Description

ArdentMills is hiring a Cloud Security Engineer to build and operate security controls in Microsoft Azure, with room to expand across other major cloud platforms.

Responsibilities

Design and deliver security landing zones, including identity and network controls (VPC/VNet, security groups/NSGs, private endpoints).
Configure and operationalize cloud-native protection services such as Microsoft Defender for Cloud, Microsoft Sentinel, and Defender XDR.
Implement posture management (CSPM) and workload protection (CWPP) using policy-as-code and automated remediation.
Set up key management and enforce encryption at rest and in transit, including certificate governance via KMS/Key Vault/Cloud KMS.
Establish logging, telemetry, and alerting using Azure Monitor and integrate with SIEM/XDR; collaborate with IT and Security to validate detection coverage and maturity from cloud-native sources.
Harden security posture for serverless, containers, and managed services including Functions, Logic Apps, Container Apps, AKS, and ACI using baseline controls.
Conduct threat modeling and security reviews for cloud architectures and application designs.
Work with platform and product teams to deliver IaC guardrails, image baselines, and patch/vulnerability workflows.
Serve as an escalation point for cloud incidents: perform triage, containment, and post-incident improvements; design automation to optimize cloud detection and response.
Use automation and AI-assisted capabilities where applicable to improve detection and response effectiveness.
Document standards and runbooks; run enablement sessions with dev and ops teams.
Partner on cloud security strategy and program maturity development.
Support cloud migration programs and perform control design reviews as needed.

Requirements

Bachelor’s in computer science/engineering or equivalent experience.
4–7 years in cloud security engineering across at least one major CSP.
Strong knowledge of IAM, networking, encryption, and cloud-native security tooling.
Experience securing hybrid environments spanning on-premises and Azure cloud.
Scripting/automation experience with Python/Bash/PowerShell and IaC tooling such as Terraform/Bicep/ARM.
Certifications: CCSP; AWS Certified Security – Specialty; Azure Security Engineer Associate (AZ-500); or Google Professional Cloud Security Engineer.

Technologies

Microsoft Azure, VPC/VNet, security groups/NSGs, private endpoints
Microsoft Defender for Cloud, Microsoft Sentinel, Defender XDR
CSPM, CWPP, policy-as-code
KMS, Key Vault, Cloud KMS; encryption at rest/in transit; certificate governance
Azure Monitor, SIEM, XDR
Functions, Logic Apps, Container Apps, AKS, ACI
IaC, image baselines, patch/vulnerability workflows
Automation, AI-assisted capabilities
Python, Bash, PowerShell; Terraform, Bicep, ARM
CCSP; AWS Certified Security – Specialty; Azure Security Engineer Associate (AZ-500); Google Professional Cloud Security Engineer

Benefits

Medical, Dental and Vision Coverage
Health and Dependent Savings Accounts
Life and Disability Programs
Voluntary Benefit Programs
Company Sponsored Wellness Programs
Retirement Savings with Company Match
Team Member and Family Assistance Program (EAP)
Paid Time Off and Paid Holidays
Employee Recognition Program with Rewards (RAVE)

Good to have

Experience with CIEM solutions and multi-cloud governance.
Certifications: GIAC Cloud (GCSA/GPCS), CNCF CKA/CKS, vendor pro-level architect certs.

Working conditions

Remote eligible; occasional after-hours support for incidents.
On-call rotation for major incidents.

Location: Denver, CO (remote)

Compensation: USD 140,000 - 200,000 per yearly

Minimum experience: 4 years

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1mo ago

AI Engineer

Bain & Co. New York, NY

New York, NY

1mo ago Closed

$129k - $172k/yr Full time Backend Developer Agentic Ai AI

This position is no longer accepting applications (closed Sep 10, 2026).

Job Description

The AI Engineer role at Bain’s Coro team focuses on building AI-infused software and data products, including LLM-driven features and agentic workflows that move from proof of concept through scaled deployments.

Location

New York, NY (onsite)

Compensation

USD 128,500 - 171,500 per yearly. Compensation includes base salary, an annual discretionary performance bonus, and a 401(k) plan with an annual employer contribution as described below, along with Bain’s best-in-class benefits package.

In Massachusetts, New York, District of Columbia, Georgia, Illinois, Texas, Washington, and California, the good-faith, reasonable annualized full-time salary range is $128,500-$171,500.
Placement within this range varies based on experience, education, licensure/certifications, training, and skill level.
The role may also be eligible for other elements of discretionary compensation.

Role Summary

Within Bain’s Coro team, you will build LLM-enabled applications and workflows that support commercial teams, including retrieval and knowledge pipelines, MLOps and GenAIOps practices, and secure enterprise integration. Work can include POCs, MVPs, and production-scale deployments.

Key Responsibilities

Design and develop GenAI applications (for example, copilots, workflow automation, decision support) using modern LLM stacks.
Implement agentic workflows when they add clear value, including tool use, multi-step execution, and human-in-the-loop controls, with focus on reliability, safety, and clear failure modes.
Design and build advanced search, retrieval, and knowledge pipelines across diverse data structures and stores, including hybrid search, vector stores, and graph databases or knowledge graphs; cover indexing strategies, metadata design, relevance tuning and reranking, freshness, caching, access controls, and source attribution.
Build robust agent capabilities including context engineering, short-term and long-term memory and state management, orchestration, routing, and tool integration patterns.
Integrate solutions into enterprise environments and workflows via APIs and data systems and collaboration tools, balancing quality, latency, cost, privacy, and adoption.
Translate ambiguous client needs into clear technical requirements, tradeoffs, and delivery plans.
Build ML solutions end-to-end, including data preparation, feature engineering, model selection, training, validation and testing, and performance analysis.
Apply appropriate methods across classical ML and deep learning (including sequence, text, and image models when relevant).
Create reproducible training and evaluation pipelines with versioning, experiment tracking, robust validation, and documentation.
Demonstrate fluency with modern deep learning and LLM concepts, including transformer fundamentals and LLM pre-training versus post-training (such as instruction tuning and preference optimization approaches).
Write clean, testable, maintainable code and deliver AI services through the full SDLC: build, test, deploy, monitor, and iterate.
Implement MLOps and GenAIOps practices including CI/CD, reproducibility, environment parity, and model/prompt/agent versioning, with operational readiness.
Build evaluation and observability for GenAI and agentic systems, including tracing and instrumentation, regression test suites, automated scoring when appropriate, and iteration loops for prompt and policy optimization.
Design for secure enterprise deployment with access controls, auditability, and data handling for sensitive and PII data, plus responsible AI guardrails.
Create reusable components and accelerators (templates, evaluation harnesses, connectors, orchestration patterns) that scale across client contexts.
Communicate with technical and non-technical stakeholders, lead working sessions, present recommendations, and write crisp technical documentation.
Work with Bain consultants to prioritize technical decisions that unlock business value.
Support proposal shaping and scoping, including effort sizing, architecture options, risk assessment, and delivery roadmaps.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
3-5+ years of professional AI/ML engineering experience (or equivalent), with strong backend engineering fundamentals.
Strong proficiency in Python, experience building APIs/services (REST/gRPC), and integrating with enterprise systems.
Hands-on experience building LLM-powered applications, with delivery considerations including latency, cost, reliability, and security.
Experience building advanced retrieval/search systems such as hybrid retrieval, vector search, and reranking, and comfort working across multiple data stores (vector, graph, relational/document/search).
Experience implementing agentic patterns (context management, tool integration, orchestration, memory/state handling) using modern frameworks such as LangGraph, OpenAI Agents SDK, or Pydantic AI, or custom agent loops, with judgment on where agentic approaches apply.
Experience creating reusable skills/tools/services for agent use, including MCP, and schema validation (such as Pydantic) to enforce reliable data contracts.
Strong engineering practices including testing, code review, version control, CI/CD, and performance profiling.
Experience deploying and operating services on AWS, GCP, and/or Azure, including environment management, reliability, observability, and scaling.
Experience with Docker and Kubernetes (or equivalent orchestration) and operating services in production, including debugging, performance, and resilience.
Proven ability to implement security, privacy, and governance requirements for AI systems, including authentication/authorization, access controls, PII/sensitive data handling, and enterprise risk controls.
Experience training, validating, and testing ML models, with understanding of overfitting, generalization, and evaluation methodology.
Practical experience with feature engineering and data preprocessing for real-world datasets.
Familiarity with a broad set of ML algorithms (classical ML and deep learning) and selecting methods matching business and data constraints.
Familiarity with deep learning frameworks such as PyTorch/TensorFlow and ML lifecycle tooling such as experiment tracking and model registry, plus feature store concepts.
Ability to work in ambiguity and complexity, manage priorities, and deliver outcomes independently or with a team.
Excellent interpersonal and communication skills to explain technical decisions, tradeoffs, and results to mixed audiences.
Strong stakeholder management skills and comfort working directly with clients.

Technologies

English
Python
REST, gRPC
LLM stacks, LangGraph
OpenAI Agents SDK, Pydantic AI, Pydantic
MCP
AWS, GCP, Azure
Docker, Kubernetes
Vector stores, graph databases, knowledge graphs
Hybrid retrieval, vector search, reranking
Transformer fundamentals
Instruction tuning, preference optimization approaches
PyTorch, TensorFlow
CI/CD
APIs, data pipelines

Benefits

Medical, dental, and vision programs (100% individual employee premiums).
Generous paid time off, including parental leave, sick leave, and paid holidays.
Fully vested 401(k) company contribution.
Paid Life and Long-Term Disability insurance.
Annual fitness reimbursements.
401(k) plan with an annual employer contribution based on years of service: 4.5% 401(k) company contribution, increasing after 3 years of service, and 100% vested upon start date.
Annual discretionary performance bonus.

Preferred Qualifications

MBA or PhD in a technical field.
Background in consulting, professional services, or B2B analytics environments.
Experience working with major AI ecosystem partners on real client deployments.

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1mo ago

AI Engineer

Bain & Co. Chicago, IL

Chicago, IL

1mo ago Closed

$129k - $172k/yr Full time Backend Developer Agentic Ai AI

This position is no longer accepting applications (closed Sep 10, 2026).

Job Description

Bain’s Commercial Excellence practice helps B2B clients turn market opportunity into booked revenue through sharper go-to-market strategy, improved sales coverage and capacity, and industrialized execution. Within Bain, the Coro business unit builds software and data solutions that are an increasingly critical part of that approach. As part of Coro, you will contribute to the next generation of Coro products with AI and agentic capabilities, including LLM-driven features and retrieval and knowledge pipelines designed for secure enterprise deployment.

This AI Engineer role is based in Chicago, IL (onsite) with a salary range of USD 128,500 - 171,500 per year. The team focuses on building reliable, production-ready AI services that balance quality, latency, cost, privacy, and adoption.

Responsibilities

Design and develop GenAI applications such as copilots, workflow automation, and decision support for commercial teams using modern LLM stacks.
Implement agentic workflows where they create clear value, including tool use, multi-step execution, and human-in-the-loop controls, with emphasis on reliability, safety, and clear failure modes.
Design and build advanced retrieval, search, and knowledge pipelines across diverse data structures and stores, including hybrid search, vector stores, and graph databases or knowledge graphs. Cover indexing strategies, metadata design, relevance tuning and reranking, freshness, caching, access controls, and source attribution.
Build robust agent capabilities including context engineering, short-term and long-term memory and state management, orchestration, routing, and tool integration patterns.
Integrate solutions into enterprise environments and workflows through APIs, data systems, and collaboration tools, managing tradeoffs across quality, latency, cost, privacy, and adoption.
Translate ambiguous client needs into clear technical requirements, tradeoffs, and delivery plans.
Build ML solutions end-to-end, including data preparation, feature engineering, model selection, training, validation and testing, and performance analysis.
Choose appropriate methods across classical ML and deep learning, including sequence, text, and image models when relevant.
Create reproducible training and evaluation pipelines with versioning, experiment tracking, robust validation, and clear documentation.
Ship AI services across the full SDLC: build, test, deploy, monitor, and iterate.
Apply MLOps and GenAIOps practices including CI/CD, reproducibility, environment parity, and versioning for models, prompts, and agents.
Implement evaluation and observability for GenAI and agentic systems using tracing and instrumentation, regression test suites, automated scoring where appropriate, and iteration loops for prompt and policy optimization.
Design for secure enterprise deployment with access controls, auditability, appropriate data handling for sensitive and PII data, and responsible AI guardrails.
Create reusable components and accelerators such as templates, evaluation harnesses, connectors, and orchestration patterns that scale across client contexts.
Communicate with technical and non-technical stakeholders by leading working sessions, presenting recommendations, and writing crisp technical documentation.
Partner with Bain consultants to prioritize critical technical decisions that unlock business value.
Support proposal shaping and scoping including effort sizing, architecture options, risk assessment, and delivery roadmaps.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
3-5+ years of professional AI / ML engineering experience (or equivalent), plus strong backend engineering fundamentals.
Strong proficiency in Python and experience building APIs/services (REST/gRPC) and integrating with enterprise systems.
Hands-on experience building LLM-powered applications with delivery considerations including latency, cost, reliability, and security.
Experience building advanced retrieval/search systems (hybrid retrieval, vector search, reranking) and comfort working across multiple data stores including vector, graph, relational/document/search.
Experience implementing agentic patterns for context management, tool integration, orchestration, and memory/state handling, using modern frameworks (LangGraph, OpenAI Agents SDK, Pydantic AI) or custom agent loops, with judgment on when agentic approaches are and are not appropriate.
Experience creating reusable skills, tools, and services for agent use, including MCP, with schema validation (Pydantic) for reliable data contracts.
Strong engineering practices including testing, code review, version control, CI/CD, and performance profiling.
Experience deploying and operating services on AWS, GCP, and / or Azure with environment management, reliability, observability, and scaling.
Experience with Docker and Kubernetes (or equivalent orchestration) and operating services in production.
Proven ability to implement security, privacy, and governance for AI systems including authentication/authorization, access controls, and PII/sensitive data handling.
Experience training, validating, and testing ML models, including understanding of overfitting, generalization, and evaluation methodology.
Practical experience with feature engineering and data preprocessing for real-world datasets.
Familiarity with a broad set of ML algorithms (classical ML and deep learning) and ability to choose methods aligned to business and data constraints.
Familiarity with deep learning frameworks (PyTorch/TensorFlow) and ML lifecycle tooling such as experiment tracking and model registry.
Ability to operate in ambiguity and complexity, manage priorities, and deliver outcomes independently or with a team.
Excellent communication skills for explaining technical decisions and tradeoffs to mixed audiences.
Strong stakeholder management skills and comfort working directly with clients.

Technologies

Python, REST, gRPC
LLM, LangGraph, OpenAI Agents SDK, Pydantic AI, Pydantic, MCP
AWS, GCP, Azure
Docker, Kubernetes
PyTorch, TensorFlow
CI / CD, vector stores, graph databases, knowledge graphs

Benefits

Medical, dental and vision programs (Bain pays 100% of individual employee premiums).
Generous paid time off, including parental leave, sick leave and paid holidays.
Fully vested 401(k) company contribution.
Paid Life and Long-Term Disability insurance.
Annual fitness reimbursements.
401(k) company contribution: 4.5% company contribution that increases after 3 years of service and is 100% vested upon start date.
Annual discretionary performance bonus.

About Coro and the Commercial Excellence Practice

Bain’s B2B Commercial Excellence practice develops a clear go-to-market strategy by building market understanding, designing sales coverage and capacity models, and creating an industrialized sales execution capability.
Coro’s software and data solutions support this approach.
Coro℠ is a business unit bringing together Bain’s proprietary SaaS and DaaS tools, including cloud-based software, online capability assessments, and advanced analytics focused on enabling Commercial Excellence for B2B companies.

Preferred

MBA, or PhD in a technical field.
Background in consulting, professional services, or B2B analytics environments.
Experience working with major AI ecosystem partners on real client deployments.

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1mo ago

Staff Software Engineer, Resiliency (Federal)

Okta San Francisco, CA

San Francisco, CA

1mo ago Closed

$194k - $243k/yr Full time Backend Developer Senior Automation

This position is no longer accepting applications (closed Sep 10, 2026).

Job Description

Join Okta’s Resilience Team within the Workforce Identity Cloud (WIC) and help build a cloud-native Identity as a Service platform designed for reliability at scale. This Staff role is focused on leading technical initiatives, owning dependable backend systems, and partnering across teams to address complex reliability challenges in a high-availability, multi-tenant SaaS environment. The position is hybrid in San Francisco, CA, with an annual salary range of USD 194,000 - 243,000.

What you’ll work on

Partner with engineering teams to design, develop, and deliver cloud-based infrastructure projects that resolve complex reliability issues and enable Okta’s services to scale.
Design and implement backend frameworks, tools, microservices, and library components that the broader engineering organization can use at scale.
Lead and advise on fault-tolerant system design, championing resilient, scalable solutions across engineering.
Explore and integrate AI-driven developer tooling, automated diagnostics, and predictive monitoring to streamline performance testing, accelerate debugging, and improve service reliability.
Perform rigorous design and code reviews, raising the engineering bar with high-quality unit and functional tests to support robust programming standards.
Participate in and lead incident Root Cause Analysis (RCA) processes to identify systemic weaknesses and build long-term mitigation strategies.
Collaborate with Architects, QA, Product Owners, Engineering Services, and Tech Ops to deliver secure, dependable software.
Support team growth by mentoring new engineering hires and interns.

Required experience and skills

8+ years of experience as a software developer with deep, expert-level knowledge of Java (Golang experience is a strong plus).
Demonstrated ability to architect, implement, tune, and debug global cloud software.
Deep understanding of microservices, cloud infrastructure ( AWS preferred, Azure, or GCP), and container ecosystems (Docker, Kubernetes).
Proven track record addressing scaling, redundancy, and performance bottlenecks in high-availability, multi-tenant SaaS environments.
Practical experience or strong interest in leveraging generative AI utilities and developer assistance tools (examples listed: AI coding assistants, automated code-generation, intelligent log analytics, or predictive profiling tools ) to boost development productivity and optimize systems.
Outstanding communication and leadership skills, including coordinating high-impact technical projects, managing stakeholder alignment, and influencing technical direction.
Previous experience in a dedicated platform reliability, resilience, or core infrastructure role is highly valued.
Eligibility requirement: the employee must be either a U.S. citizen (42 U.S. Code § 9102); a lawful permanent resident (8 U.S.C. 1101(a)(20)) or a protected individual (8 U.S.C. 1324b(a)(3)); or a U.S. national (including citizens and non-citizens born in outlying possessions such as American Samoa and Swains Island). Working on a U.S. visa does not qualify as a U.S. person.

Education

B.S. or M.S. in Computer Science, a related field, or equivalent industry experience.

Technologies

Java, Golang
AWS, Azure, GCP
Docker, Kubernetes
Microservices
AI coding assistants, automated code-generation, intelligent log analytics, predictive profiling tools

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1mo ago

Staff Software Engineer, Data Platform (FedRAMP)

Okta Bellevue, WA

Bellevue, WA

1mo ago Closed

$194k - $267k/yr Full time Backend Developer AWS Big Data

This position is no longer accepting applications (closed Sep 10, 2026).

Job Description

Okta is hiring a Staff Software Engineer to help build and operate a FedRAMP-aligned data platform, focused on streaming infrastructure and foundational services for analytics and ML.

Responsibilities

Design, implement, and take ownership of data-intensive, high-performance, scalable platform components
Partner with engineering teams, architects, and cross-functional partners on project development, design, and implementation
Participate in design reviews and code reviews, and perform analysis and performance tuning
Coach and mentor engineers to support team growth and engineering scale-up
Debug production incidents across services and multiple layers of the stack

Requirements

8+ years of experience in object-oriented languages, preferably Java
Hands-on experience with cloud-based distributed computing technologies, including messaging systems such as Kinesis and Kafka
Hands-on experience with data processing systems such as Flink, Spark, and Beam
Hands-on experience with storage and compute systems such as Snowflake and Hadoop
Hands-on experience with coordinators and schedulers such as those used in Kubernetes, Hadoop, and Mesos
Experience developing and tuning highly scalable distributed systems
Excellent grasp of software engineering principles
Solid understanding of multithreading, garbage collection, and memory management
Reliability engineering experience, including data quality, data observability, and incident management

Technologies

Java, Kinesis, Kafka, Flink, Spark, Beam
Snowflake, Hadoop, Kubernetes, Mesos, ElasticSearch

About the Team

Data Platform team builds foundational data services, systems, and data products for Okta that support user outcomes
Streaming analytics
Interactive end-user reporting
Data and ML platform to scale Okta capabilities
Telemetry for products and data

About the Position

Scale high volume, low latency distributed data-platform services and data products
Build foundational infrastructure to support Okta for years to come
Design, build, and deploy systems powering data analytics and ML
Work across an analytics infrastructure stack using modern technologies including Kinesis, Flink, ElasticSearch, and Snowflake

Nice to Have

Experience maintaining security, encryption, identity management, or authentication infrastructure
Hands-on experience leveraging major public cloud providers to build mission-critical, high volume services
Hands-on experience developing data integration applications for large scale (petabyte scale) environments across batch and online systems
Contributed to distributed systems at high volume or criticality, such as Kafka or Hadoop
Experience developing Kubernetes-based services on the AWS Stack

Federal Environment Requirements

Ability to access federal environments and/or have access to protected federal data
As a condition of employment, documentation establishing U.S. Person status (e.g., U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee per 22 CFR 120.15) must be submitted upon hire