back-end software engineer salaries in chicago, illinois

job summary: You will be responsible for building a purposeful, proactive, and sustainable approach to reliability on a foundation of SRE principles. You will partner with multiple support teams, architects, developers, and other stakeholders to develop common tools and guidance and drive adoption of key reliability engineering practices in support of large-scale and mission-critical services. Through your deep SRE knowledge and history of implementation, you will have open, candid conversations with senior leaders and engineers and play a pivotal role in establishing a foundational SRE practice.   location: Chicago, Illinois job type: Permanent salary: $200,000 - 240,000 per year work hours: 8am to 5pm education: Bachelors   responsibilities: You will partner with multiple support teams, architects, developers, and other stakeholders to develop common tools and guidance and drive adoption of key reliability engineering practices in support of large-scale and mission-critical services. Through your deep SRE knowledge and history of implementation, you will have open, candid conversations with senior leaders and engineers and play a pivotal role in establishing a foundational SRE practice.   qualifications: Required Qualifications Minimum 5 years in SRE role, with at least 3 years in an architect or technical leadership position.At least 3 or more years of experience designing and implementing highly scalable and fault tolerant systems.In-depth knowledge of resilience patterns (i.e. circuit breakers, timeouts, retries, etc.) and how to design and implement them.In-depth knowledge of CICD processes and tools to ensure software is delivered safely using known deployment strategies (i.e. blue/green, canary deployments, feature toggles, etc.).Authored technical postmortems (at least weekly) with root cause analyses and documented action items that resulted in measurable resiliency improvements.Contributed to the SLO strategy for at least 5 teams, ensuring alignment with business and client objectives.Three or more years hands-on experience with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, Splunk), with a proven track record of setting up dashboards and alerts.Developed at least 5 scripts or tools that reduced repetitive operational toil.Led or participated in at least three cross-functional SRE-focused initiatives that included key stakeholders from both technical and business units.Participated in resilience or chaos engineering exercises at least yearly, with documentation showing a reduction in unplanned downtime.Presented findings or led training sessions at least twice annually to share SRE practices, enhancing team performance or adoption rates for reliability engineering methods.Managed or mentored at least 2 junior engineers or teams in SRE best practices, with improvements in incident resolution speed and reliability metrics.Authored and maintained comprehensive SRE documentation for at least 3 critical systems or workflows, including incident response guides, runbooks, operational playbooks, SLO implementation, and observability.   skills: Preferred Qualifications Evangelize SRE mindset and practices across the Technology Solutions organization.Partner with support, development, and business stakeholders to develop, measure, and leverage service level objectives.Design and develop solutions to eliminate toil and manual effort from day-to-day support responsibilities.Identify and implement improvements to logging, metrics, and tracing telemetry and triaging capabilities across a diverse technology stack.Lead complex triage and postmortem activities for critical issues and drive prioritization/resolution of remediation items.Perform chaos engineering experiments to improve application resilience to known and unknown failures.Document reliability guidance and best practices. Advocate for and drive adoption of said practices.Foster a culture of learning through coaching, mentoring, and knowledge sharing around reliability practices, processes, and tools.Develop tools, frameworks, and instrumentation to validate and increase release success for applications. Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

job summary: Our Chicago Area client has a contract to hire opportunity for Sr ML Engineer - AI Infrastructure. This person will play a pivotal role in driving the development, deployment, and scaling of machine learning models and systems. You will be involved in complex machine learning initiatives, mentor junior and intermediate engineers, and collaborate closely with engineering, product, and data science teams. With deep expertise in ML engineering and a focus on best practices, you'll ensure that our solutions are robust, scalable, and aligned with business goals. You will also drive improvements in deployment practices, including API integration, CI/CD pipelines, and container orchestration using modern technologies. This is an onsite role.   location: Deerfield, Illinois job type: Contract salary: $55 - 65 per hour work hours: 8am to 5pm education: Bachelors   responsibilities: Develops software that processes, stores, and serves data and machine learning models for use by others.Develops large-scale data structures and pipelines to organize, collect, and standardize data that helps generate insights and intelligence to support business needs.Writes ETL (Extract / Transform / Load) or ELT processes, designs data stores, and develops tools for real-time and offline analytic processing on-premise or on cloud infrastructure.Develops and maintains optimal data pipelines into the ML and advanced analytics platform, including design of data flows, procedures, and schedules. Ensures that optimal data pipelines are scalable, repeatable, and secure.Troubleshoots software and processes for data consistency and integrity. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.Anticipates and prevents problems and roadblocks before they occur.Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.Collaborates with AI/ML scientists and data scientists to prepare data for model development and to deploy models to production.  qualifications: Basic Qualifications: Bachelor's degree and at least 4 years of experience in machine learning, software engineering, or data engineering.Deep knowledge of SQL.Significant experience programming in one or more of the following: Python, C, C++, Spark, Scala, and/or Java.Experience establishing and maintaining key relationships with internal (peers, business partners, and leadership) and external (business community, clients, and vendors) within a matrix organization to ensure quality standards for service.Experience diagnosing, isolating, and resolving complex business issues and recommending and implementing strategies to resolve problems.Experience presenting to all levels of an organization.At least 2 years of experience contributing to financial decisions in the workplace.At least 2 years of direct leadership, indirect leadership, and/or cross-functional team leadership.Willing to travel up to 10% of the time for business purposes (within state and out of state). Preferred Qualifications: Graduate degree in a technical discipline and at least 2 years of experience in machine learning, software engineering, or data engineering.Strong experience designing and implementing monitoring and alerting systems for cloud-based applications, including log management and analysis tools (e.g., ELK stack, Splunk).Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services, as well as deploying ML models at scale in production using open-source tools (e.g., Kubeflow, Seldon).Proficiency in CI/CD practices for AI/ML model development and deployment, with experience using tools such as Azure DevOps, Tekton, or GitHub Actions.Experience with Infrastructure as Code (IaC) tools, particularly Terraform.Familiarity with DAG-based workflow orchestration systems (e.g., Airflow, Prefect) and data processing pipelines using Apache Spark or Databricks.Experience working with ML registries (e.g., MLFlow) and deploying event-driven or reactive ML applications.Strong background in deploying and maintaining ML systems for both batch and streaming data.Expertise in troubleshooting distributed systems, optimizing performance, and reducing costs in cloud environments.Proficient in writing and deploying production-grade Python applications and libraries.Experience with REST API development and configuring Kubernetes in multi-tenant environments.  skills: Basic Qualifications: Bachelor's degree and at least 4 years of experience in machine learning, software engineering, or data engineering.Deep knowledge of SQL.Significant experience programming in one or more of the following: Python, C, C++, Spark, Scala, and/or Java.Experience establishing and maintaining key relationships with internal (peers, business partners, and leadership) and external (business community, clients, and vendors) within a matrix organization to ensure quality standards for service.Experience diagnosing, isolating, and resolving complex business issues and recommending and implementing strategies to resolve problems.Experience presenting to all levels of an organization.At least 2 years of experience contributing to financial decisions in the workplace.At least 2 years of direct leadership, indirect leadership, and/or cross-functional team leadership.Willing to travel up to 10% of the time for business purposes (within state and out of state). Preferred Qualifications: Graduate degree in a technical discipline and at least 2 years of experience in machine learning, software engineering, or data engineering.Strong experience designing and implementing monitoring and alerting systems for cloud-based applications, including log management and analysis tools (e.g., ELK stack, Splunk).Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services, as well as deploying ML models at scale in production using open-source tools (e.g., Kubeflow, Seldon).Proficiency in CI/CD practices for AI/ML model development and deployment, with experience using tools such as Azure DevOps, Tekton, or GitHub Actions.Experience with Infrastructure as Code (IaC) tools, particularly Terraform.Familiarity with DAG-based workflow orchestration systems (e.g., Airflow, Prefect) and data processing pipelines using Apache Spark or Databricks.Experience working with ML registries (e.g., MLFlow) and deploying event-driven or reactive ML applications.Strong background in deploying and maintaining ML systems for both batch and streaming data.Expertise in troubleshooting distributed systems, optimizing performance, and reducing costs in cloud environments.Proficient in writing and deploying production-grade Python applications and libraries.Experience with REST API development and configuring Kubernetes in multi-tenant environments. Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.

job summary: Our Chicago area client has a contract to hire opportunity for a Senior Machine Learning Quality Assurance Lead. This role will build, test, and deploy effective test automation solutions across a portfolio of different development projects. The ideal candidate will have experience in designing, developing, validating, and executing automated testing for artificial intelligence, machine learning, LLMs, and the applications (including web-based applications) that incorporate these technologies. Eagerness to quickly learn and understand an evolving field is required, as there will be many opportunities to apply new skills in emerging areas of AI/ML development. This is an onsite role 3 days a week.   location: Deerfield, Illinois job type: Contract salary: $55 - 65 per hour work hours: 8am to 5pm education: Bachelors   responsibilities: Develops software that processes, stores, and serves data and machine learning models for use by others.Develops moderate to large-scale data structures and pipelines to organize, collect, and standardize data that helps generate insights and intelligence to support business needs.Writes ETL (Extract / Transform / Load) or ELT processes, designs data stores, and develops tools for real-time and offline analytic processing on-premise or on cloud infrastructure.Develops and maintains optimal data pipelines into the ML and advanced analytics platform, including design of data flows, procedures, and schedules. Ensures that optimal data pipelines are scalable, repeatable, and secure.Troubleshoots software and processes for data consistency and integrity. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.Anticipates and prevents problems and roadblocks before they occur.Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.Collaborates with AI/ML scientists and data scientists to prepare data for model development and to deploy models to production.  qualifications: BASIC QUALIFICATIONS: Bachelor's degree and minimum 4 years of experience in Machine Learning or Engineering.Minimum 3 years of experience with SQL.Minimum 3 years of experience programming in one or more of the following: Python, C, C++, Spark, Scala, and/or Java.Experience establishing and maintaining key relationships with internal (peers, business partners, and leadership) and external (business community, clients, and vendors) stakeholders within a matrix organization to ensure quality standards for service.Experience diagnosing, isolating, and resolving complex business issues and recommending and implementing strategies to resolve problems.At least 2 years of experience contributing to financial decisions in the workplace.At least 2 years of direct leadership, indirect leadership, and/or cross-functional team leadership.Willingness to travel up to 10% of the time for business purposes (within state and out of state). PREFERRED QUALIFICATIONS: Graduate Degree in a technical discipline and at least 2 years of experience in machine learning, software engineering, or data engineering combined with a strong understanding of SQA (Software Quality Assurance) methodologies.Experience with developing AI software applications.Ability to define test strategy, create test plans, author test cases, perform test execution, and capture and communicate test results to support ongoing AI/ML team releases.Experience conducting functional, performance, and exploratory testing utilizing test automation frameworks using Python and AI-driven technologies.Ability to design generative AI solutions for test case automation, smart test selection, and failure diagnosis.Ability to develop continuous improvement steps incorporating machine learning models for test failure prediction, prioritization, and optimization.Collaboration with engineers and product teams on quality strategies and success metrics.Ability to define and implement QA processes to optimize and scale testing.Leadership in the improvement and implementation of best practices, methodologies, and tooling to meet quality coverage.Experience integrating testing into the CI/CD deployment pipeline.Ability to clearly and precisely articulate test results to application developers and management.Ability to debug and resolve complex QA issues, including AI/ML-related challenges.Collaboration with software engineers and application users during the product development lifecycle.Ability to establish and demonstrate compliance with team best practices and security requirements.Ability to mentor and guide Quality Assurance Engineers, Software Engineers, and ML Engineers of all levels on QA processes, methodologies, and best practices.Depending on the need, the individual may be overseeing the QA validation or performing hands-on validation steps.Experience deploying ML models at scale in production using open-source tools (Kubeflow, Seldon, etc.).Experience with DAG-based workflow orchestration systems (Airflow, Prefect, etc.).Experience with data processing pipelines using Apache Spark or Databricks.Experience with ML registries (MLFlow, etc.).Experience with CI/CD pipelines (Tekton, Azure DevOps, Github Actions, etc.).Experience with using or configuring Kubernetes in a multi-tenant environment.Experience troubleshooting distributed systems and reducing performance and costs.  skills: BASIC QUALIFICATIONS: Bachelor's degree and minimum 4 years of experience in Machine Learning or Engineering.Minimum 3 years of experience with SQL.Minimum 3 years of experience programming in one or more of the following: Python, C, C++, Spark, Scala, and/or Java.Experience establishing and maintaining key relationships with internal (peers, business partners, and leadership) and external (business community, clients, and vendors) stakeholders within a matrix organization to ensure quality standards for service.Experience diagnosing, isolating, and resolving complex business issues and recommending and implementing strategies to resolve problems.At least 2 years of experience contributing to financial decisions in the workplace.At least 2 years of direct leadership, indirect leadership, and/or cross-functional team leadership.Willingness to travel up to 10% of the time for business purposes (within state and out of state). PREFERRED QUALIFICATIONS: Graduate Degree in a technical discipline and at least 2 years of experience in machine learning, software engineering, or data engineering combined with a strong understanding of SQA (Software Quality Assurance) methodologies.Experience with developing AI software applications.Ability to define test strategy, create test plans, author test cases, perform test execution, and capture and communicate test results to support ongoing AI/ML team releases.Experience conducting functional, performance, and exploratory testing utilizing test automation frameworks using Python and AI-driven technologies.Ability to design generative AI solutions for test case automation, smart test selection, and failure diagnosis.Ability to develop continuous improvement steps incorporating machine learning models for test failure prediction, prioritization, and optimization.Collaboration with engineers and product teams on quality strategies and success metrics.Ability to define and implement QA processes to optimize and scale testing.Leadership in the improvement and implementation of best practices, methodologies, and tooling to meet quality coverage.Experience integrating testing into the CI/CD deployment pipeline.Ability to clearly and precisely articulate test results to application developers and management.Ability to debug and resolve complex QA issues, including AI/ML-related challenges.Collaboration with software engineers and application users during the product development lifecycle.Ability to establish and demonstrate compliance with team best practices and security requirements.Ability to mentor and guide Quality Assurance Engineers, Software Engineers, and ML Engineers of all levels on QA processes, methodologies, and best practices.Depending on the need, the individual may be overseeing the QA validation or performing hands-on validation steps.Experience deploying ML models at scale in production using open-source tools (Kubeflow, Seldon, etc.).Experience with DAG-based workflow orchestration systems (Airflow, Prefect, etc.).Experience with data processing pipelines using Apache Spark or Databricks.Experience with ML registries (MLFlow, etc.).Experience with CI/CD pipelines (Tekton, Azure DevOps, Github Actions, etc.).Experience with using or configuring Kubernetes in a multi-tenant environment.Experience troubleshooting distributed systems and reducing performance and costs. Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.